DOMIP - Opioid Overdose Death Data

Title DOMIP - Opioid Overdose Death Data
Description Opioid Overdose Death cases were received from Delaware's Division of Forensic Sciences. Overdose statistics presented are based on the substances found to be present in the body at the time of death as determined by the DFS toxicology reports. Assignment of decedents to census tracts was based on the home address of the decedents. Cases with home addresses outside the state of Delaware or that were determined to be homeless were excluded. Fields taken from this dataset are: Age adjusted Opioid Overdose Death rate calculated per 100,000 Delaware residents and Age adjusted Opioid Overdose Death rate involving an opioid calculated per 100,000 Delaware residents.
Theme/Category Health
Period Coverage 2013-2018
Spatial Coverage State of Delaware
Keywords opioid, overdose, delaware, GIS, mapping
Landing Page https://www.cdhs.udel.edu/projects/domip/about
Access URL https://www.cdhs.udel.edu/projects/domip/link-to-mapping-app
Creator Center for Drug & Health Studies, University of Delaware
Publisher Center for Drug & Health Studies, University of Delaware
Released Date 2018
Updated Date 2019
Publishing Frequency Yearly
Access Rights Restricted
Distribution Format CSV, XLS
Publication 10.1177/2153368719877222, 10.1007/s10900-018-0583-0, 10.1177/0022042618815687
Project
Title The Delaware Opioid Metric Intelligence Project (DOMIP)
Description Provides community surveillance capabilities in Delaware to help reduce its prescription and illicit drug problems. DOMIP achieves this by integrating data-on Opioid Overdose Deaths, crime, population characteristics and community resources into a user-friendly web application called the DOMIP Mapping app.
Principal Investigator Dr. Tammy Anderson
Co-Principal Investigator Dr. Daniel O'Connell, Dr. Ellen A. Donnelly
Funding Agency National Institute of Justice


DOMIP - Crime Data

Title DOMIP - Crime Data
Description The Delaware Criminal Justice Information System (DELJIS) provided data on criminal incidents reported to the police or observed by the police and arrests conducted by Delaware law enforcement. Addresses and Names fields were cleaned using regular expressions and addresses were geocoded using ESRI ArcGIS address locators and mapped to census tracts (the majority of the incident data was already geocoded). Cases with home addresses outside the state of Delaware or that were determined to be homeless were excluded. Drug crimes were identified via the provided crime codes that are also used to report to the National Incident-Based Reporting System (NIBRS).
Theme/Category Health
Period Coverage 2013-2018
Spatial Coverage State of Delaware
Keywords opioid, crime, delaware, GIS, mapping
Landing Page https://www.cdhs.udel.edu/projects/domip/about
Access URL https://www.cdhs.udel.edu/projects/domip/link-to-mapping-app
Creator Center for Drug & Health Studies, University of Delaware
Publisher Center for Drug & Health Studies, University of Delaware
Released Date 2018
Updated Date 2019
Publishing Frequency Yearly
Access Rights Restricted
Distribution Format CSV, XLS
Publication 10.1177/2153368719877222, 10.1007/s10900-018-0583-0, 10.1177/0022042618815687
Project
Title The Delaware Opioid Metric Intelligence Project (DOMIP)
Description Provides community surveillance capabilities in Delaware to help reduce its prescription and illicit drug problems. DOMIP achieves this by integrating data-on Opioid Overdose Deaths, crime, population characteristics and community resources into a user-friendly web application called the DOMIP Mapping app.
Principal Investigator Dr. Tammy Anderson
Co-Principal Investigator Dr. Daniel O'Connell, Dr. Ellen A. Donnelly
Funding Agency National Institute of Justice


DOMIP - Community Survey Data

Title DOMIP - Community Survey Data
Description The American Community Survey (ACS) is a constantly ongoing survey that offers a wide variety of socio-economic information.It is the premier source for detailed population and housing information about our nation. Fields taken from this dataset are: Disability rate, poverty rate and uninsured rate.
Theme/Category Health
Period Coverage 2013-2018
Spatial Coverage State of Delaware
Keywords opioid, crime, delaware, GIS, mapping
Landing Page https://www.cdhs.udel.edu/projects/domip/about
Access URL https://www.cdhs.udel.edu/projects/domip/link-to-mapping-app
Creator Center for Drug & Health Studies, University of Delaware
Publisher Center for Drug & Health Studies, University of Delaware
Released Date 2018
Updated Date 2019
Publishing Frequency Yearly
Access Rights Restricted
Distribution Format CSV, XLS
Publication 10.1177/2153368719877222, 10.1007/s10900-018-0583-0, 10.1177/0022042618815687
Project
Title The Delaware Opioid Metric Intelligence Project (DOMIP)
Description Provides community surveillance capabilities in Delaware to help reduce its prescription and illicit drug problems. DOMIP achieves this by integrating data-on Opioid Overdose Deaths, crime, population characteristics and community resources into a user-friendly web application called the DOMIP Mapping app.
Principal Investigator Dr. Tammy Anderson
Co-Principal Investigator Dr. Daniel O'Connell, Dr. Ellen A. Donnelly
Funding Agency National Institute of Justice


The Global Urban Heat Island (UHI) Data Set, v1 (2013)

Title The Global Urban Heat Island (UHI) Data Set, v1 (2013)
Description The Global Urban Heat Island (UHI) Data Set, 2013, estimates the land surface temperature within urban areas in degrees Celsius (average summer daytime maximum and average summer nighttime minimum) as well as the difference between those temperatures and the temperatures in surrounding rural areas, defined as a 10km buffer around the urban extent.
Theme/Category Geospatial
Period Coverage 2013
Spatial Coverage POLYGON(( -176.20 78.28 , 179.46 78.28 , 179.46 -54.86 , -176.20 -54.86 ))
Keywords climate, hazards, health, infrastructure, remote sensing, sustainability, urban, land use
Landing Page https://sedac.ciesin.columbia.edu/data/set/sdei-global-uhi-2013
Access URL https://sedac.ciesin.columbia.edu/downloads/data/sdei/sdei-global-uhi-2013/sdei-global-uhi-2013-shp.zip
Creator Socioeconomic Data and Applications Center, CIESIN at Columbia University
Publisher Socioeconomic Data and Applications Center, CIESIN at Columbia University
Released Date 20161021
Access Rights Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.
Distribution Format vector, tabular, map, map service
Publication 10.7927/H4H70CRF, 10.7927/H408638T, 10.7927/H44M92HC
Project
Title The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1)
Description Urbanization poses both challenges and opportunities for sustainable development and environmental management. Improved data on patterns of human settlement and trends in population can help researchers and policy makers better understand differences between urban and rural areas in terms of their impacts on the environment and vulnerability to environmental variability and change. The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) data collection is a valuable resource both for researchers studying human-environment interactions and for applied users working to address critical environmental and societal issues.
Funding Agency National Aeronautics and Space Administration


The Global Summer Land Surface Temperature (LST) Grids, (2013)

Title The Global Summer Land Surface Temperature (LST) Grids, (2013)
Description The Global Summer Land Surface Temperature (LST) Grids, 2013, represent daytime maximum temperature and nighttime minimum temperature in degree Celsius at a spatial resolution of 30 arc-seconds (~1km) during summer months of the northern and southern hemisphere for the year 2013.
Theme/Category Geospatial
Period Coverage 2013
Spatial Coverage POLYGON(( -180.00 80.01 , 179.99 80.01 , 179.99 -60.01 , -180.00 -60.01 ))
Keywords climate, hazards, health, infrastructure, remote sensing, sustainability, urban, land use
Landing Page https://sedac.ciesin.columbia.edu/data/set/sdei-global-summer-lst-2013
Access URL https://sedac.ciesin.columbia.edu/data/set/sdei-global-summer-lst-2013/data-download
Creator Socioeconomic Data and Applications Center, CIESIN at Columbia University
Publisher Socioeconomic Data and Applications Center, CIESIN at Columbia University
Released Date 20161118
Access Rights Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.
Distribution Format raster, map, map service
Publication 10.7927/H4H70CRF, 10.7927/H408638T, 10.7927/H48C9T68
Project
Title The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1)
Description Urbanization poses both challenges and opportunities for sustainable development and environmental management. Improved data on patterns of human settlement and trends in population can help researchers and policy makers better understand differences between urban and rural areas in terms of their impacts on the environment and vulnerability to environmental variability and change. The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) data collection is a valuable resource both for researchers studying human-environment interactions and for applied users working to address critical environmental and societal issues.
Funding Agency National Aeronautics and Space Administration


Global 1-km Downscaled Population Base Year and Projection Grids Based on the SSPs, v1.01 (2000 – 2100)

Title Global 1-km Downscaled Population Base Year and Projection Grids Based on the SSPs, v1.01 (2000 – 2100)
Description The Global 1-km Downscaled Population Base Year and Projection Grids Based on the Shared Socioeconomic Pathways, Revision 01, data set consists of global urban, rural, and total populaton for the base year 2000, and population projections at ten-year intervals for 2010-2100 at a resolution of 1-km (about 30 arc-seconds), consistent both quantitatively and qualitatively with the SSPs. This 1-km data set is a downscaled version of the one-eighth degree (7.5 arc-minutes) data published in Jones and O'Neill (2016). The downscaling methods were published in Gao (2017). Spatial demographic data are key inputs for the analysis of land use, energy use, and emissions, as well as for the assessment of climate change vulnerability, impacts, and adaptation. The SSPs are developed to support future climate and global change research and the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).
Theme/Category Geospatial
Period Coverage 2000-2100
Spatial Coverage POLYGON(( -180.00 83.63, 180.00 83.63 , 180.00 -55.77 , -180.00 -55.77))
Keywords population estimates, socioeconomics, global, society
Landing Page https://sedac.ciesin.columbia.edu/data/set/popdynamics-1-km-downscaled-pop-base-year-projection-ssp-2000-2100-rev01
Access URL https://sedac.ciesin.columbia.edu/data/set/popdynamics-1-km-downscaled-pop-base-year-projection-ssp-2000-2100-rev01/data-download
Creator Socioeconomic Data and Applications Center, CIESIN at Columbia University
Publisher Socioeconomic Data and Applications Center, CIESIN at Columbia University
Released Date 20200409
Access Rights Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.
Distribution Format raster, map, map services
Publication 10.7927/q7z9-9r69, 10.5065/D60Z721H
Project
Title Population Dynamics
Description Population dynamics refers to the way population size and composition changes over time by birth and death rates, and by immigration and emigration. Topics examined include aging populations, urbanization, population decline, and population projections. Global net migration grids have been generated at 30 arc-second resolution (~1 sq. km at the equator) for the decades of the 1970s, 1980s, and 1990s, where net migration is the balance between in-migration and out-migration. Also, at the same resolution and over the same period of time, global population time series estimates were generated. In addition, global urban, rural, and total population projection grids have been produced based on Shared Socioeconomic Pathways (SSPs) at resolutions of one km (about 30 arc-seconds) and one-eighth degree (7.5 arc-minutes) at ten-year intervals for 2010-2100. At the regional level, county-equivalent population estimates for Latin America and the Caribbean were developed for 1990 and 2000, using spatially consistent and comparable units.
Funding Agency National Aeronautics and Space Administration


A Global Database of Gas Fluxes from Soils after Rewetting or Thawing, Version 1.0.

Title A Global Database of Gas Fluxes from Soils after Rewetting or Thawing, Version 1.0.
Description This database contains information compiled from published studies on gas flux from soil following rewetting or thawing. The resulting database includes 222 field and laboratory observations focused on rewetting of dry soils, and 116 field laboratory observations focused on thawing of frozen soils studies conducted from 1956 to 2010. Fluxes of carbon dioxide, methane, nitrous oxide, nitrogen oxide, and ammonia (CO2, CH4, N2O, NO and NH3) were compiled from the literature and the flux rates were normalized for ease of comparison. Field observations of gas flux following rewetting of dry soils include events caused by natural rainfall, simulated rainfall in natural ecosystems, and irrigation in agricultural lands. Similarly, thawing of frozen soils include field observations of natural thawing, simulated freezing-thawing events (i.e., thawing of simulated frozen soil by snow removal), and thawing of seasonal ice in temperate and high latitude regions (Kim et al., 2012). Reported parameters include experiment type, location, site type, vegetation, climate, soil properties, rainfall, soil moisture, soil gas flux after wetting and thawing, peak soil gas flux properties, and the corresponding study references. There is one comma-delimited data file.
Theme/Category Environmental
Period Coverage
Spatial Coverage
Keywords
Landing Page
Access URL https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1078
Creator
Publisher
Released Date 4/16/12
Updated Date
Publishing Frequency
Access Rights Public (Dataset is or could be made publicly available to all without restrictions)
Version
Distribution Format
Publication Kim, D.G., Vargas, R., Bond-Lamberty, B. and Turetsky, M.R., 2012. Effects of soil rewetting and thawing on soil gas fluxes: a review of current literature and suggestions for future research. Biogeosciences, 9(7), p.2459.
Software to view the data


CMS: Soil CO2 Efflux and Properties, Site Vegetation Measurements, Mexico, 2011-2012. ORNL DAAC, Oak Ridge, Tennessee, USA.

Title CMS: Soil CO2 Efflux and Properties, Site Vegetation Measurements, Mexico, 2011-2012. ORNL DAAC, Oak Ridge, Tennessee, USA.
Description This data set provides the results of (1) monthly measurements of soil CO2 efflux, volumetric water content, and temperature, and (2) seasonal measurements of soil (porosity, bulk density, nitrogen (N) and carbon (C) content) and vegetation (leaf area index (LAI), litter and fine root biomass) properties in a water-limited ecosystem in Baja California, Mexico. Measurements and samples were collected from August 2011 to August 2012.
Theme/Category Environmental
Period Coverage
Spatial Coverage
Keywords
Landing Page
Access URL https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1298
Creator
Publisher
Released Date 11/30/15
Updated Date
Publishing Frequency
Access Rights Public (Dataset is or could be made publicly available to all without restrictions)
Version
Distribution Format
Publication Leon, E., Vargas, R., Bullock, S., Lopez, E., Panosso, A.R. and La Scala Jr, N., 2014. Hot spots, hot moments, and spatio-temporal controls on soil CO2 efflux in a water-limited ecosystem. Soil Biology and Biochemistry, 77, pp.12-21.
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CMS: Evapotranspiration and Meteorology, Water-Limited Shrublands, Mexico, 2008-2010. ORNL DAAC, Oak Ridge, Tennessee, USA.

Title CMS: Evapotranspiration and Meteorology, Water-Limited Shrublands, Mexico, 2008-2010. ORNL DAAC, Oak Ridge, Tennessee, USA.
Description This data set provides daily average observations for evapotranspiration (measured and gap-filled), precipitation, net radiation, soil water content, air temperature, vapor pressure deficit, and normalized vegetation index (NDVI) from two water-limited shrubland sites for years 2008-2010. Both sites are located in the northwest part of Mexico and are part of the MexFlux network.
Theme/Category Environmental
Period Coverage
Spatial Coverage
Keywords
Landing Page
Access URL https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1309
Creator
Publisher
Released Date 3/21/16
Updated Date
Publishing Frequency
Access Rights Public (Dataset is or could be made publicly available to all without restrictions)
Version
Distribution Format
Publication Villarreal, S., Vargas, R., Yepez, E.A., Acosta, J.S., Castro, A., Escoto‐Rodriguez, M., Lopez, E., Martínez‐Osuna, J., Rodriguez, J.C., Smith, S.V. and Vivoni, E.R., 2016. Contrasting precipitation seasonality influences evapotranspiration dynamics in water‐limited shrublands. Journal of Geophysical Research: Biogeosciences, 121(2), pp.494-508.
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CMS: MODIS GPP, fPAR, and SST, and ENSO Index, Baja California, Mexico, 2000-2013. ORNL DAAC, Oak Ridge, Tennessee, USA.

Title CMS: MODIS GPP, fPAR, and SST, and ENSO Index, Baja California, Mexico, 2000-2013. ORNL DAAC, Oak Ridge, Tennessee, USA.
Description This data set provides data for MODIS-derived (1) gross primary productivity (GPP) for the years 2000-2010, (2) fraction of photosynthetically active radiation (fPAR) for the years 2003-2013, (3) sea surface temperature (SST) for the years 2003-2013, and (4) the NOAA-source Multivariate ENSO Index (MEI) data for the years 2003-2013 (as a measure of the El Nino/Southern Oscillation). The study areas were three transects on the Baja California Peninsula, Mexico, and the adjacent Pacific Ocean. The terrestrial transects, in order from North to South, West to East included Punta Colonet (three sites-PC1, PC2, PC3), Punta Abreojos (two sites-PA1, PA2), and Magdalena Bay (three sites-MB1, MB2, MB3).
Theme/Category Environmental
Period Coverage
Spatial Coverage
Keywords
Landing Page
Access URL https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1310
Creator
Publisher
Released Date 3/21/16
Updated Date
Publishing Frequency
Access Rights Public (Dataset is or could be made publicly available to all without restrictions)
Version
Distribution Format
Publication
Software to view the data


Data from: Using greenhouse gas fluxes to define soil functional types. Dryad Digital Repository.

Title Data from: Using greenhouse gas fluxes to define soil functional types. Dryad Digital Repository.
Description Daily measurements of soil GHG fluxes used to describe soil functional types in Petrakis et al. Fluxes are calculated as daily means and curated for QA/QC as described in the journal article. Measurement dates comprise from September 2014 to September 2015. Values as -9999 represent missing values due to QA/QC or instrument failure.
Theme/Category Environmental
Period Coverage
Spatial Coverage
Keywords
Landing Page
Access URL https://datadryad.org/stash/dataset/doi:10.5061/dryad.kq7h7
Creator
Publisher
Released Date 11/27/18
Updated Date
Publishing Frequency
Access Rights Public (Dataset is or could be made publicly available to all without restrictions)
Version
Distribution Format
Publication
Software to view the data


Ecosystem Functional Type Distribution Map for the Conterminous USA, 2001-2014. ORNL DAAC, Oak Ridge, Tennessee, USA.

Title Ecosystem Functional Type Distribution Map for the Conterminous USA, 2001-2014. ORNL DAAC, Oak Ridge, Tennessee, USA.
Description This dataset provides maps of the distribution of ecosystem functional types (EFTs) and the interannual variability of EFTs at 0.05 degree resolution across the conterminous United States (CONUS) for 2001 to 2014. EFTs are groupings of ecosystems based on their similar ecosystem functioning that are used to represent the spatial patterns and temporal variability of key ecosystem functional traits without prior knowledge of vegetation type or canopy architecture. Sixty-four EFTs were derived from the metrics of a 2001-2014 time-series of satellite images of the Enhanced Vegetation Index (EVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) product MOD13C2. EFT diversity was calculated as the modal (most repeated) EFT and interannual variability was calculated as the number of unique EFTs for each pixel.
Theme/Category Environmental
Period Coverage
Spatial Coverage
Keywords
Landing Page
Access URL https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1659
Creator
Publisher
Released Date 3/19/19
Updated Date
Publishing Frequency
Access Rights Public (Dataset is or could be made publicly available to all without restrictions)
Version
Distribution Format
Publication
Software to view the data


Soil Organic Carbon Stock Estimates with Uncertainty across Latin America. ORNL DAAC, Oak Ridge, Tennessee, USA.

Title Soil Organic Carbon Stock Estimates with Uncertainty across Latin America. ORNL DAAC, Oak Ridge, Tennessee, USA.
Description This dataset provides 5 x 5 km gridded estimates of soil organic carbon (SOC) across Latin America that were derived from existing point soil characterization data and compiled environmental prediction factors for SOC. This dataset is representative for the period between 1980 to 2000s corresponding with the highest density of observations available in the WoSIS system and the covariates used as prediction factors for soil organic carbon across Latin America. SOC stocks (kg/m2) were estimated for the SOC and bulk density point measurements and a spatially explicit measure of the SOC estimation error was also calculated. A modeling ensemble, using a linear combination of five statistical methods (regression Kriging, random forest, kernel weighted nearest neighbors, partial least squared regression and support vector machines) was applied to the SOC stock data at (1) country-specific and (2) regional scales to develop gridded SOC estimates (kg/m2) for all of Latin America. Uncertainty estimates are provided for the two model predictions based on independent model residuals and their full conditional response to the SOC prediction factors.
Theme/Category Environmental
Period Coverage
Spatial Coverage
Keywords
Landing Page
Access URL https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1615
Creator
Publisher
Released Date 3/7/19
Updated Date
Publishing Frequency
Access Rights Public (Dataset is or could be made publicly available to all without restrictions)
Version
Distribution Format
Publication
Software to view the data


AmeriFlux US-StJ St Jones Reserve

Title AmeriFlux US-StJ St Jones Reserve
Description This is the AmeriFlux version of the carbon flux data for the site US-StJ St Jones Reserve. Site Description - This tower is located in St Jones, near Dover Delaware. This area is part of the National Estuarine Research Reserve. It was established in 1993, and estuarine ecosystems from the Mid-Atlantic region are represented here. This region has been influenced by agricultural fields along the watershed. The EC tower is located in a tidal marsh near the Dover headquarters, there is a board walk that goes along the marsh. Restoring natural vegetation is on the long term management plan.
Theme/Category Environmental
Period Coverage
Spatial Coverage
Keywords
Landing Page
Access URL https://doi.org/10.17190/AMF/1480316
Creator
Publisher
Released Date 3/3/19
Updated Date
Publishing Frequency
Access Rights Public (Dataset is or could be made publicly available to all without restrictions)
Version
Distribution Format
Publication
Software to view the data


CO2_Efflux_Eden

Title CO2_Efflux_Eden
Description Dataset of soil CO2 efflux from a seasonally dry tropical forest. Dataset includes information from January 2006 to April 2008. Soil CO2 efflux was measured using the gradient method where soil CO2 concentrations were measured in conjunction with soil temperature and soil moisture. The study site was hit by a hurricane on October 2005, thus soil CO2 efflux rates are high during the beginning of 2006. For more details about the study site and methodology please see:
Theme/Category Environmental
Period Coverage
Spatial Coverage
Keywords
Landing Page
Access URL https://figshare.com/articles/CO2_Efflux_Eden/8309567/1
Creator
Publisher
Released Date 6/26/19
Updated Date
Publishing Frequency
Access Rights Public (Dataset is or could be made publicly available to all without restrictions)
Version
Distribution Format
Publication Vargas, R., 2012. How a hurricane disturbance influences extreme CO2 fluxes and variance in a tropical forest. Environmental Research Letters, 7(3), p.035704.
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Annual soil moisture predictions across conterminous United States using remote sensing and terrain analysis across 1 km grids (1991-2016)

Title Annual soil moisture predictions across conterminous United States using remote sensing and terrain analysis across 1 km grids (1991-2016)
Description We provide 26 annual soil moisture predictions across conterminous United States for the years 1991-2016. These predictions are provided in raster files with a geographical (lat, long) projection system and a spatial resolution of 1 x 1 km grids (folder: soil_moisture_annual_grids_1991_2016). These raster files were populated with soil moisture data based on multiple kernel based machine learning models for coupling hydrologically meaningful terrain parameters (the explanatory variables) with soil moisture microwave records (the response variable) from the European Space Agency Climate Change Initiative. We provide a raster stack with the annual training data from satellite soil moisture estimates (file: annual_means_of _ESA_CCI_soil_moiture_1991_2016.tif) and the explanatory variables (terrain) calculated on SAGA GIS (System of Automated Geoscientific Analysis) using digital terrain analysis (folder: explanatory_variables_dem). The explained variance for all models-years was >70% (10-fold cross-validation). The 1 km soil moisture grids (compared to the original satellite soil moisture estimates) had higher correlations with field soil moisture observations from the North American Soil Moisture Database (n=668 locations with available data between 1991-2013; 0-5 cm depth) than soil moisture microwave records.
Theme/Category Environmental
Period Coverage
Spatial Coverage
Keywords
Landing Page
Access URL https://www.hydroshare.org/resource/b8f6eae9d89241cf8b5904033460af61/
Creator
Publisher
Released Date 6/20/19
Updated Date 3/23/20
Publishing Frequency
Access Rights Public (Dataset is or could be made publicly available to all without restrictions)
Version
Distribution Format
Publication Guevara, M. and Vargas, R., 2019. Downscaling satellite soil moisture using geomorphometry and machine learning. PloS one, 14(9).
Software to view the data


Ecosystem Functional Type Distribution Map for Mexico, 2001-2014

Title Ecosystem Functional Type Distribution Map for Mexico, 2001-2014
Description This dataset provides a map of the distribution of ecosystem functional types (EFTs) at 0.05 degree resolution across Mexico for 2001 to 2014. EFTs are groupings of ecosystems based on their similar ecosystem functioning that are used to represent the spatial patterns and temporal variability of key ecosystem functional traits without prior knowledge of vegetation type or canopy architecture. Sixty-four EFTs were derived from the metrics of a 2001-2014 time-series of satellite images of the Enhanced Vegetation Index (EVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) product MOD13C2. EFT diversity was calculated as the modal (most repeated) EFT for each pixel.
Theme/Category Environmental
Period Coverage
Spatial Coverage
Keywords
Landing Page
Access URL https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1693
Creator
Publisher
Released Date 8/15/19
Updated Date 9/10/19
Publishing Frequency
Access Rights Public (Dataset is or could be made publicly available to all without restrictions)
Version
Distribution Format
Publication Villarreal, S., Guevara, M., Alcaraz‐Segura, D. and Vargas, R., 2019. Optimizing an environmental observatory network design using publicly available data. Journal of Geophysical Research: Biogeosciences, 124(7), pp.1812-1826.
Software to view the data


Global Gridded 1-km Annual Soil Respiration and Uncertainty Derived from SRDB V3

Title Global Gridded 1-km Annual Soil Respiration and Uncertainty Derived from SRDB V3
Description This dataset provides six global gridded products at 1-km resolution of predicted annual soil respiration (Rs) and associated uncertainty, maps of the lower and upper quartiles of the prediction distributions, and two derived annual heterotrophic respiration (Rh) maps. A machine learning approach was used to derive the predicted Rs and uncertainty data using a quantile regression forest (QRF) algorithm trained with observations from the global Soil Respiration Database (SRDB) version 3 spanning from 1961 to 2011. The two Rh maps were derived from the predicted Rs with two different empirical equations. These products were produced to support carbon cycle research at local- to global-scales, and highlight the immense spatial variability of soil respiration and our ability to predict it across the globe.
Theme/Category Environmental
Period Coverage
Spatial Coverage
Keywords
Landing Page
Access URL https://doi.org/10.3334/ORNLDAAC/1736
Creator
Publisher
Released Date
Updated Date 1/9/20
Publishing Frequency
Access Rights Public (Dataset is or could be made publicly available to all without restrictions)
Version
Distribution Format
Publication Warner, D.L., Bond‐Lamberty, B., Jian, J., Stell, E. and Vargas, R., 2019. Spatial predictions and associated uncertainty of annual soil respiration at the global scale. Global Biogeochemical Cycles.
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Oklahoma Soil Moisture Predictions

Title Oklahoma Soil Moisture Predictions
Description Monthly soil moisture predictions over a region of interest centered on Oklahoma and surrounded areas from January 2000 to September 2012. Data were acquired from the European Space Agency Climate Change Initiative soil moisture product version 4.5, 0.25-degrees spatial resolution. The modeled product aims to fill soil moisture spatial gaps from the original product over the region of Interest. Soil moisture values were calculated based on three methods, e.g. Ordinary Kriging, Regression Kriging and Generalized Linear Model. Reference monthly soil moisture layers were generated based on daily soil moisture estimates over each 0.25-degrees pixel in the region of interest. Three different sampling approaches were considered to model soil moisture estimates, using 100% of available data from the original satellite data, 75% and 50% of available soil moisture estimates respectively. Data were randomly removed to simulate different scenarios of gap presence in the original ESA CCI product. Soil Moisture values were validated by means of 10-fold cross validation and ground-truth validation with records from the North American Soil Moisture Data Base
Theme/Category Environmental
Period Coverage
Spatial Coverage
Keywords
Landing Page
Access URL https://www.hydroshare.org/resource/f0091cf90bcc4487bf401ca19783d1eb/
Creator
Publisher
Released Date 2/7/20
Updated Date
Publishing Frequency
Access Rights Public (Dataset is or could be made publicly available to all without restrictions)
Version
Distribution Format
Publication Llamas, R.M., Guevara, M., Rorabaugh, D., Taufer, M. and Vargas, R., 2020. Spatial Gap-Filling of ESA CCI Satellite-Derived Soil Moisture Based on Geostatistical Techniques and Multiple Regression. Remote Sensing, 12(4), p.665.
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Soil respiration dataset from a temperate mix forest (James San Jacinto Mountain Reserve)

Title Soil respiration dataset from a temperate mix forest (James San Jacinto Mountain Reserve)
Description Dataset of soil CO2 efflux from a temperate mix forest. Includes information from January 2006 to December 2008. Soil CO2 efflux was measured using the gradient method where soil CO2 concentrations were measured in conjunction with soil temperature and soil moisture. The study was conducted at the University of California James San Jacinto Mountain Reserve, a UC Natural Reserve System field station. The Reserve is a mixed conifer-oak forest at 1640m.a.s.l. located in the San Jacinto Mountains, CA, USA (33048'30''N, 116046'40''W).
Theme/Category Environmental
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Landing Page
Access URL https://doi.org/10.6084/m9.figshare.11739459
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Released Date 5/3/20
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Access Rights Public (Dataset is or could be made publicly available to all without restrictions)
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Publication Vargas, R., Detto, M., Baldocchi, D.D. and Allen, M.F., 2010. Multiscale analysis of temporal variability of soil CO2 production as influenced by weather and vegetation. Global Change Biology, 16(5), pp.1589-1605.
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Soil Organic Carbon Estimates and Uncertainty at 1-m Depth across Mexico, 1999-2009

Title Soil Organic Carbon Estimates and Uncertainty at 1-m Depth across Mexico, 1999-2009
Description This dataset provides an estimate of soil organic carbon (SOC) in the top one meter of soil across Mexico at a 90-m resolution for the period 1999-2009. Carbon estimates (kg/m2) are based on a field data collection of 2852 soil profiles by the National Institute for Statistics and Geography (INEGI). The profile data were used for the development of a predictive model along with a set of environmental covariates that were harmonized in a regular grid of 90x90 m2 across all Mexican states. The base of reference was the digital elevation model (DEM) of the INEGI at 90-m spatial resolution. A model ensemble of regression trees with a recursive elimination of variables explained 54% of the total variability using a cross-validation technique of independent samples. The error associated with the predictive model estimates of SOC is provided. A summary of the total estimated SOC per state, statistical description of the modeled SOC data, and the number of pixels modeled for each state are also provided.
Theme/Category Environmental
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Spatial Coverage
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Landing Page
Access URL https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1754
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Released Date
Updated Date 3/26/20
Publishing Frequency
Access Rights Public (Dataset is or could be made publicly available to all without restrictions)
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Global Gridded Dataset of Crop-specific Green and Blue Water Requirements

Title Global Gridded Dataset of Crop-specific Green and Blue Water Requirements
Description Global gridded (5 arcminute) dataset of monthly green and blue crop water requirements for 5 major crops and annual green and blue crop water requirements for 23 crops and 3 crop groups for the average year 2000 (i.e. averaged among 1998–2002 yearly simulations) and the year 2016.
Theme/Category Environmental
Period Coverage 2000, 2016
Spatial Coverage Global
Keywords
Landing Page https://springernature.figshare.com/collections/Global_Gridded_Dataset_of_Crop-specific_Green_and_Blue_Water_Requirements/4893084
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Access Rights Public (Dataset is or could be made publicly available to all without restrictions)
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Distribution Format Net-CDF
Publication https://doi.org/10.1038/s41597-020-00612-0
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Mexico ATI-HRA Dataset

Title Mexico ATI-HRA Dataset
Description This dataset records counts of human rights abuse-related ATI requests for each Mexican municipality-month, 06/2003-06/2018. Human rights-abuse related ATI requests were generated via a supervised machine learning approach at the individual request level, before being aggregated to municipality-month counts. Separate supervised machine coded ATI-based human abuse counts are then recorded for state perpetrated human rights abuse, non-state perpetrated human rights abuse, unknown perpetrator human rights abuse, human rights abuse incidents, and human rights abuses by any perpetrator. For the municipality-month dataset, the counts of human rights abuse-related requests are paired with additional municipality-month variables recording total homicide rates, counts of human rights abuse events as derived from the ICEWS event dataset, counts of human rights abuse events as derived from the GED dataset, distance to the US border, economic marginalization, population, internet access, and total ATI requests, as well as unique identifiers for each municipality and time-point.
Theme/Category Social Science
Period Coverage 06/2003-06/2018
Spatial Coverage Mexico, with unique identifiers for municipality and state
Keywords Mexico, Access to Information, Accountability, Human Rights Abuse
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Access Rights Public (Dataset is or could be made publicly available to all without restrictions)
Version 1
Distribution Format CSV
Publication Ellington, S.A.V., B.E. Bagozzi, D. Berliner, B. Palmer-Rubin, and A. Erlich. 2021. "Measuring Human Rights Abuse from Access to Information Requests" Working Paper.
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Project
Title Measuring Human Rights Abuse from Access to Information Requests
Description This project uses supervised machine learning to measure fine grained citizen concerns over human rights abuses in Mexico via access to information request texts. The resultant data are internally and externally validated in several manners. The current dataset then aggregates these supervised-coded requests to the municipality-month level, and merges these data with several additional covariates.
Principal Investigator Dr. Benjamin Bagozzi


Mexican ATI Request-Response Dataset

Title Mexican ATI Request-Response Dataset
Description This dataset records individual access to information (ATI) requests and responses for Mexico's federal (national) ATI system. The text of each individual request (along with OCR'd text of each request attachment) is included along with a variety of indicators of each government response. LDA-derived topics have been estimated and assigned to reach request text. Additional request information is then included for a unique request identifier, the date and time of each request, the requester's location (country, state, municipality and postal code), and the requester's designated federal Mexican government agency or unit. Additional response data include the government agency or unit's official response decision, the timing (date and time) of that decision, and the elapsed time between request and response.
Theme/Category Social Science
Period Coverage 06/2003-06/2020
Spatial Coverage Mexico, with unique identifiers for requester municipality, state, country, and postal code
Keywords Mexico, Access to Information, Accountability, Transparency
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Access Rights Non-public (Dataset is not available to members of the public)
Version 2
Distribution Format CSV
Publication Berliner, D., B.E. Bagozzi, and B. Palmer-Rubin. 2018. "What Information Do Citizens Want? Evidence from One Million Public Information Requests in Mexico.'' World Development. 109: 222-235.
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Project
Title Access to Information in Mexico
Description This project leverages text-as-data tools to better understand the nature and drivers of information requests in Mexico. Extensions to this analysis also consider the nature and drivers of the Mexican government's responsiveness to these requests, as well as the influences of politics and the media on these processes.
Principal Investigator Dr. Benjamin E. Bagozzi


Do or Die Corpus and Metadata

Title Do or Die Corpus and Metadata
Description Issues 1-10 of Do or Die, a set of British radical environmentalist magazine ('zine) associated with the United Kingdom's Earth First! movement. The 10-issue 'zine was published semi-annually from 1992 to 2003. Original PDFs of each 'zine were collected from online sources. Multiple formats and versions of each 'zine are included, including PDF images, OCR'd pages of each PDF 'zine (in .rtf and .txt format) as well as scraped webpage versions of some individual stories, where applicable. Additional data from these texts in terms of UK environmental group names listed within each issue's contact section, quantities derived from topic models of these texts, and network information is also included.
Theme/Category Social Science
Period Coverage 1992-2003
Spatial Coverage United Kingdom
Keywords Environmentalism, Text-as-Data, Social Movement, Direct Action
Landing Page
Access URL https://doi.org/10.7910/DVN/PNK7AB
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Access Rights Public (Dataset is or could be made publicly available to all without restrictions)
Version 1
Distribution Format PDF, TXT, RTF, CSV
Publication Almquist, Zack W. and Benjamin E. Bagozzi. 2019. "Using Radical Environmentalist Texts to Uncover Network Structure and Network Features" Sociological Methods & Research. 49(4): 905-960.
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Project
Title Radical Environmentalist Project
Description This project seeks to better understand radical environmentalist movements through text-as-data and network methods.
Principal Investigator Dr. Benjamin Bagozzi


Topical Attention Bias Measures of US State Department Human Rights Reports

Title Topical Attention Bias Measures of US State Department Human Rights Reports
Description A corpus of 6,298 State Department Country Reports on Human Rights Practices (1977-2012) was topic modeled to recover a plausible set of  country-year topics pertaining to the US State Department's monitoring of countries' human rights practices. Recovered topics are conditional on nation-states actual human rights performance and additional covariates, and include topics such as killings and disappearances, freedoms of expression and movement, and labor rights, among others. The posterior probability of topical assignment for each estimated topic is recorded for each country-year, 1977-2012. These quantities are argued to capture time varying (topical) attention bias in US State Department human rights reporting in relation to individual countries.
Theme/Category Social Science
Period Coverage 1977-2012
Spatial Coverage Global (at the country-level)
Keywords State Department, Human Rights, Monitoring, Repression, Topic Modeling
Landing Page
Access URL https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/W1QQTP
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Access Rights Public (Dataset is or could be made publicly available to all without restrictions)
Version 1
Distribution Format CSV
Publication Bagozzi, B.E. and D. Berliner. 2018. "The Politics of Scrutiny in Human Rights Monitoring: Evidence from Structural Topic Models of US State Department Human Rights Reports." Political Science Research and Methods. 6(4): 661-677.
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Project
Title Topical Attention Bias in Human Rights Reporting
Description This project seeks to better understand US State Department human rights monitoring with text-as-data tools. Patterns of human rights reporting are considered over time, and in relation to a variety of US-specific and cross-national covariates.
Principal Investigator Dr. Benjamin Bagozzi


UNFCCC Climate Speech Data

Title UNFCCC Climate Speech Data
Description This text-as-data dataset includes nation-states' high-level segment speeches from the 16th to 26th United Nations Framework Convention on Climate Change (UNFCCC) Conference of the Parties (COPs), 10-years of speeches in total. Transcripts of all available speeches were collected in PDF form from UN websites and then converted to machine readable text and machine translated to English. All resultant texts are stored as individual .txt files and in combined .csv files. For network modeling, co-occurrences related to each speech's co-mentions of nation-states are also extracted and recorded as .csv files. Subsets of these speeches have also been topic modeled.
Theme/Category Social Science
Period Coverage 2010-2020
Spatial Coverage Global (at the country-level)
Keywords Climate Change, International Relations, International Cooperation, UNFCCC
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Access Rights Non-public (Dataset is not available to members of the public)
Version 2
Distribution Format CSV, PDF, TXT
Publication Bagozzi, B. E. 2015. "The Multifaceted Nature of Global Climate Change Negotiations." Review of International Organizations. 10(4): 439-464.
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Project
Title UNFCCC Speeches and Networks
Description This project seeks to use text-as-data and network methods to understand patterns of country-level negotiation over climate change, both at the UNFCCC and more generally. Core dimensions include understanding the scope and dimensionality of negotiating themes, negotiation networks, and how these features change over time.
Principal Investigator Dr. Benjamin Bagozzi


DEOS Real-Time and Historical Environmental Data

Title DEOS Real-Time and Historical Environmental Data
Description DEOS operates and maintains over 80 environmental monitoring platforms and brings in data for the following variables: air temperature, dew point, relative humidity, wind speed, wind direction, wind gust, heat index, wind chill, atmospheric pressure, solar radiation, rainfall, water levels, and snow depth. (some variables are season observations only)
Theme/Category Environmental
Period Coverage 2009 to present (some stations are earlier)
Spatial Coverage Delaware, Chester County PA
Keywords environment, monitoring, climate, atmosphere, temperature, rain, wind
Landing Page http://deos.udel.edu
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Creator Center for Environmental Monitoring & Analysis (CEMA)
Publisher Center for Environmental Monitoring & Analysis (CEMA)
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Access Rights Public (Dataset is or could be made publicly available to all without restrictions)
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Project
Title Delaware Environmental Observing System
Description For over 15 years, DEOS has been providing real-time and archived daily and monthly environmental conditions for Delaware and the surrounding region. Today, DEOS operates and maintains over 80 environmental monitoring platforms and brings in data from over 200 additional environmental monitoring platforms throughout our region.
Principal Investigator Dr. Kevin Brinson