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hybrid · semantic + lexical · 6 datasets ranked · 3.51s

Depthcataloged6
Licenseopen6
Accessopen6
Formatgeojson5csv3geopackage3shapefile3fasta1pdf1png1sqlite1tiff1
Sourcezenodo6
clear
1-6 of 6sortrelevancemeasured firstqualitysize
declared

Replication package for "An Environmental Data Justice-Driven Analysis of Setback Distances"

0.00

Vera, Lourdes

31 files · 4.6 MB · csv, geojson, pngdeclared

Data, analysis scripts, and derived outputs reproducing the setback analysis between occupied buildings and active oil and gas wells in Karnes County, Texas, using public data (Texas Railroad Commission well locations; FEMA/ORNL USA Structures building footprints; and U.S. Census TIGER/Line block groups and 2020-2024 American Community Survey). The pipeline runs offline in Python (geopandas) and reproduces every reported distance, summary statistic, table, and figure in the associated article. This package reproduces and updates Chapter 3 of the author's doctoral dissertation: Vera, Lourdes (2022), "Environmental Data Justice in Action: Civically Valid Air Monitoring Near Oil and Gas Extraction in the Eagle Ford Shale Play," Ph.D. dissertation, Northeastern University, Boston, MA.

open·MIT·Zenodo·completeSource
declared

Map of New Spain [Segment], c. 1800

0.00

Kavanagh, Jack · Anthony, Patrick

6 files · 11 MB · geojson, geopackage, shapefiledeclared

A historical map showing a segment of the boundaries of New Spain in c. 1800. This map is fully open to fellow researchers and is available in multiple open source formats (SHP, GPKG, GeoJSON).

open·CC-BY-4.0·Zenodo·completeSource
declared

Map of Prussia, c. 1795

0.00

Kavanagh, Jack · Anthony, Patrick

6 files · 9.3 MB · geojson, geopackage, shapefiledeclared

A historical map of the boundaries of Prussia in c. 1795. This map is fully open to fellow researchers and is available in multiple open source formats (SHP, GPKG, GeoJSON).

open·CC-BY-4.0·Zenodo·completeSource
declared

Software and AMR peptide database for 'PEPTiGEN: a tool for mining antimicrobial resistance PEPTides using GENe data of public available repositories'

0.00

Meekes, Lisa · Tabaro, Francesco · Bexkens, Michiel · et al.

41 files · 8.2 GB · csv, fasta, pdfdeclared

This record contains the Python software for PEPTiGEN, a tool for generating tryptic peptides from prokaryotic gene sequences and their variants, and the associated antimicrobial resistance (AMR) peptide database. The database is provided as an SQL file and a CSV file containing all genes and predicted peptides. The README file contains explanation of the PEPTiGEN tool. The SQL database schema files contains both the database schema of the SQL database used in the PEPTiGEN analysis as the database schema of the AMR peptide datbase.

open·CC-BY-4.0·Zenodo·completeSource
declared

Global_Flood_Intercomparison_Project

0.00

Maganini, Micky · Markert, Amanda

45 files · 84 MB · csv, geojson, tiffdeclared

The Global Flood Intercomparison project ran from 2023 to 2025 under the NASA/USAID SERVIR program. The project aimed to facilitate access to evaluate the performance of satellite-derived surface water products. produced by NASA, NOAA, and ESA. The project had two main deliverables, one being the Flood Mapping Intercomparison (or FMI) software & repository, which is linked in the "Related Works" section. This repository contains more information regarding each of the flood products. The flood products included in this study were the following: DSWx-HLS: Dynamic Surface Water eXtent from Harmonized Landsat Sentinel DSWx-S1: Dynamic Surface Water eXtent from Sentinel-1 GFM: Global Flood Monitor HYDRAFloods: HYDrologic Remote Sensing Analysis Tool for Floods HYDROSAR MCDWD: Global Flood Product -- MODIS Combined Water Detection VFM: VIIRS Flood Mapper More details regarding these flood products can be found in the FMI repository linked in related works. The second deliverable is the contents of this zenodo, which is a collection of over 10,000 points stating the presence or lack thereof of surface water during flood events. These points were used to assess the relative accuracy of surface water products, an analysis of which will be released in a forthcoming scientific publication. These points correlate to five flood events for which there were synchronous overpasses of the satellites from which the aforementioned flood products are derived. Arkansas: 2025/04/09 Cambodia: 2024/10/01 Chad: 2024/09/26 Florida: 2024/10/15 Pakistan: 2023/06/16 These flood events were sourced from the EM-DAT database. Querying this database for these locations and dates will yield more details about these specific flood events. For each of these flood events there are the following items in this database. The naming convention is specified below: reference data naming convention: reference_data_<flood_event>.csv description: This is the point data indicating the presence of surface water or lack thereof for the flood event in question. This was determined via ocular interpretation of Planet Labs imagery obtained on the same date as the flood event in question. harmonized flood products naming convention DSWx-HLS: dswxhls_<flood_event>.tif DSWx-S1: dswxs1_<flood_event>.tif GFM: gfm_<flood_event>.tif HYDRAFloods: hydrafloods_<flood_event>.tif HYDROSAR: hydrosar_<flood_event>.tif MCDWD: mcdwd_<flood_event>.tif VFM: vfm_<flood_event>.tif description: each of the flood products are harmonized to a schema of 0s and 1s, with 1s representing water, 0s representing nonwater, and 2 representing invalid data areas of interest naming convention: aoi_<flood_event>.geojson description: The area for which all flood products had a common overlap.

open·MIT·Zenodo·completeSource
declared

Map of Kazakh Steppe, c. 1848

0.00

Kavanagh, Jack · Anthony, Patrick

6 files · 1.5 MB · geojson, geopackage, shapefiledeclared

A historical map of the boundaries of the Kazakh Steppe in c. 1848. This map is fully open to fellow researchers and is available in multiple open source formats (SHP, GPKG, GeoJSON).

open·CC-BY-4.0·Zenodo·completeSource

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