cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e156024v1
title: National Neighborhood Data Archive (NaNDA): School Counts by Census Tract, United States, 2000-2018

description: This dataset contains counts of schools per
United States census tract from 2000 through 2018. Counts are broken down by
type of school (public, charter, magnet, or private) and grade level
(elementary, middle, or high).<br><br>A curated version of this data is available through ICPSR at https://doi.org/10.3886/ICPSR38569.v1<br>
description: Census tracts in the United States, including U.S. island territories. Smallest Geographic Unit: census tract
DOI: 10.3886/e156041v1
title: National Neighborhood Data Archive (NaNDA): School Counts by ZIP Code Tabulation Area, United States, 2000-2018

description: This dataset contains counts of schools per
United States ZIP code tabulation area (ZCTA) from 2000 through 2018. Counts are broken down by
type of school (public, charter, magnet, or private) and grade level
(elementary, middle, or high). <br><br>A curated version of this data is available through ICPSR at https://doi.org/10.3886/ICPSR38569.v1
description: ZIP code tabulation areas in the United States, including U.S. island territories. Smallest Geographic Unit: ZIP code tabulation area
description: A ZIP code to ZCTA crosswalk must be used to combine this dataset with ZIP code geocoded data. Such a crosswalk is available on the UDS Mapper website at https://udsmapper.org/zip-code-to-zcta-crosswalk/. Sample code for merging the UDS Mapper crosswalk with NaNDA datasets is available on the NaNDA repository at https://www.openicpsr.org/openicpsr/project/120088/.
DOI: 10.3886/e159902v1
title: National Neighborhood Data Archive (NaNDA): Primary and Secondary Roads by Census Tract, United States, 2010

description: This dataset contains
measures of primary and secondary roads (highways and main arteries) per United
States census tract in 2010. These measures may be used as a proxy for heavy traffic,
high traffic speeds, and impediments to walking or biking. Variables include: counts of primary, secondary, and
all streets per tract; total length of primary, secondary, and all streets per
tract; ratio of primary and/or secondary road counts to all roads; and ratio of
length of primary/secondary roads to all streets.<br><br>A curated version of this data is available through ICPSR at https://doi.org/10.3886/ICPSR38585.v2<br>
description: Census tracts in the United States, excluding U.S. island territories. Smallest Geographic Unit: census tract
DOI: 10.15468/dl.vuuaqw
title: Occurrence Download

description: A dataset containing 4790955 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is South America",
 "Geometry POLYGON((-73.36226 13.96991,-89.16851 -8.66538,-77.33137 -22.59242,-48.72007 -22.77702,-36.9154 -13.86086,-44.31832 5.20234,-58.32386 14.65099,-73.36226 13.96991))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU, NT, LC, DD, NE)",
 "TaxonKey is Magnoliopsida"
 ]
}

 The dataset includes 4790955 records from 563 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013281-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e159941v1
title: National Neighborhood Data Archive (NaNDA): Primary and Secondary Roads by ZIP Code Tabulation Area, United States, 2010

description: This dataset contains
measures of primary and secondary roads (highways and main arteries) per United
States ZIP code tabulation area (ZCTA) in 2010. These measures may be used as a proxy for heavy traffic,
high traffic speeds, and impediments to walking or biking. Variables include: counts of primary, secondary, and
all streets per ZCTA; total length of primary, secondary, and all streets per ZCTA; ratio of primary and/or secondary road counts to all roads; and ratio of
length of primary/secondary roads to all roads.<br><br>A curated version of this data is available through ICPSR at https://doi.org/10.3886/ICPSR38585.v2<br>
description: ZIP code tabulation areas in the United States, excluding U.S. island territories. Smallest Geographic Unit: ZIP code tabulation area
description: A ZIP code to ZCTA crosswalk must be used to combine this dataset with ZIP code geocoded data. Such a crosswalk is available on the UDS Mapper website at https://udsmapper.org/zip-code-to-zcta-crosswalk/. Sample code for merging the UDS Mapper crosswalk with NaNDA datasets is available on the NaNDA repository at https://www.openicpsr.org/openicpsr/project/120088/.
DOI: 10.15468/dl.3txp53
title: Occurrence Download

description: A dataset containing 25167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rangifer tarandus (Linnaeus, 1758)",
 "Year 1981-2010"
 ]
}

 The dataset includes 25167 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013285-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28611380
title: Source Files: Bornean Orangutan TLR4

description: Original PDB file for <i>Pongo pygmaeus</i><i> </i>(Bornean orangutan) TLR4 protein. Sourced from Uniprot and Alphafold.
DOI: 10.6084/m9.figshare.28611380.v1
title: Source Files: Bornean Orangutan TLR4

description: Original PDB file for <i>Pongo pygmaeus</i><i> </i>(Bornean orangutan) TLR4 protein. Sourced from Uniprot and Alphafold.
DOI: 10.15468/dl.fefawa
title: Occurrence Download

description: A dataset containing 921 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Argentina, Falkland Islands (Malvinas))",
 "DatasetKey is SOMBASE – Southern Ocean mollusc database: a tool for biogeographic analysis in diversity and evolution"
 ]
}

 The dataset includes 921 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013287-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x4r9me
title: Occurrence Download

description: A dataset containing 294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasineura trifolii Loew",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 294 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013286-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc23lqq5
title: CCDC 1954417: Experimental Crystal Structure Determination

description: Related Article: Ghodrat Mahmoudi, Habibar Chowdhury, Barindra Kumar Ghosh, Maciej Kubicki, Agata Bartyzel, Jonathan M. White, Ibon Alkorta, Atash V. Gurbanov, Damir A. Safin|2020|J.Mol.Struct.|1229|129614|doi:10.1016/j.molstruc.2020.129614
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc23lqp4
title: CCDC 1954416: Experimental Crystal Structure Determination

description: Related Article: Ghodrat Mahmoudi, Habibar Chowdhury, Barindra Kumar Ghosh, Maciej Kubicki, Agata Bartyzel, Jonathan M. White, Ibon Alkorta, Atash V. Gurbanov, Damir A. Safin|2020|J.Mol.Struct.|1229|129614|doi:10.1016/j.molstruc.2020.129614
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fxdmd
title: CCDC 2261624: Experimental Crystal Structure Determination

description: Related Article: Amitava Rakshit, Kyeongwon Moon, Pargat Singh, In Su Kim|2025|J.Org.Chem.|90|3444|doi:10.1021/acs.joc.5c00007
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kdrlb
title: CCDC 2365752: Experimental Crystal Structure Determination

description: Related Article: Araya Ruengsuk, Sutthipoj Vigromsitdet, Amporn Saekee, Pornnaphat Wichannananon, Tanagorn Sangtawesin, Mongkol Sukwattanasinitt, Jonggol Tantirungrotechai, David J. Harding, Thanthapatra Bunchuay|2025|Org.Lett.|27|2093|doi:10.1021/acs.orglett.5c00110
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kfxmk
title: CCDC 2366869: Experimental Crystal Structure Determination

description: Related Article: Elena S. Filatova, Olga V. Fedorova, Pavel A. Slepukhin, Nikolay I. Bormotov, Olga A. Serova, Maxim O. Skarnovich, Larisa N. Shishkina, Gennady L. Rusinov, Valerij N. Charushin|2025|Chem. Sel.|10|e202403600|doi:10.1002/slct.202403600
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kfxnl
title: CCDC 2366870: Experimental Crystal Structure Determination

description: Related Article: Elena S. Filatova, Olga V. Fedorova, Pavel A. Slepukhin, Nikolay I. Bormotov, Olga A. Serova, Maxim O. Skarnovich, Larisa N. Shishkina, Gennady L. Rusinov, Valerij N. Charushin|2025|Chem. Sel.|10|e202403600|doi:10.1002/slct.202403600
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kfxpm
title: CCDC 2366871: Experimental Crystal Structure Determination

description: Related Article: Elena S. Filatova, Olga V. Fedorova, Pavel A. Slepukhin, Nikolay I. Bormotov, Olga A. Serova, Maxim O. Skarnovich, Larisa N. Shishkina, Gennady L. Rusinov, Valerij N. Charushin|2025|Chem. Sel.|10|e202403600|doi:10.1002/slct.202403600
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.jan7tv
title: Occurrence Download

description: A dataset containing 614 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Herpsilochmus pectoralis P.L.Sclater, 1857"
 ]
}

 The dataset includes 614 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013288-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e128862v1
title: National Neighborhood Data Archive (NaNDA): Land Cover by ZIP Code Tabulation Area, United States, 2001-2016

description: This dataset contains
measures of land cover (e.g., low-, medium-, or high-density development,
forest, wetland, open water) derived from the National Land Cover Database
(NLCD) and aggregated by United States ZIP code tabulation area (ZCTA). Land
cover is measured both in total square meters and as a proportion of all land
within the ZCTA.<br><br>A curated version of this data is available through ICPSR at https://doi.org/10.3886/E110663V1<br>
description: All ZIP code tabulation areas in the continental United States. No data is available for Alaska, Hawaii, or the United States territories.. Smallest Geographic Unit: ZIP code tabulation area
description: A ZIP code to ZCTA crosswalk must be used to combine this dataset with ZIP code geocoded data must use a ZIP code to ZCTA crosswalk. Such a crosswalk is
available on the UDS Mapper website at https://udsmapper.org/zip-code-to-zcta-crosswalk/. Sample code for merging the UDS Mapper crosswalk with
NaNDA datasets is available on the NaNDA repository at https://www.openicpsr.org/openicpsr/project/120088/.
DOI: 10.3886/e128841v3
title: National Neighborhood Data Archive (NaNDA): Broadband Internet Availability and Speed by ZIP Code Tabulation Area, United States, 2014-2020

description: This dataset contains
measures of broadband internet access and usage per United States ZIP code
tabulation area (ZCTA) in 2014 through 2020. The data is derived primarily from
internet service providers’ Form 477 reports to the Federal Communications
Commission. Key variables include the average upload and download speed of fixed
broadband connections, the number of internet service providers, and the number
of households with broadband.<br><br>A curated version of this data is available through ICPSR at http://dx.doi.org/10.3886/ICPSR38567.v1<br>
description: ZCTAs in the United States, island territories, and possessions. . Smallest Geographic Unit: ZIP code tabulation area
description: A ZIP code to ZCTA crosswalk must be used to combine this dataset with ZIP code geocoded data must use a ZIP code to ZCTA crosswalk. Such a crosswalk is
available on the UDS Mapper website at https://udsmapper.org/zip-code-to-zcta-crosswalk/. Sample code for merging the UDS Mapper crosswalk with
NaNDA datasets is available on the NaNDA repository at https://www.openicpsr.org/openicpsr/project/120088/.
DOI: 10.3886/e115006v1
title: National Neighborhood Data Archive (NaNDA): Crimes by County, United States, 2002-2014

description: This dataset contains
county-level totals for the years 2002-2014 for eight types of crime: murder,
rape, robbery, aggravated assault, burglary, larceny, motor vehicle theft, and
arson. These crimes are classed as Part I criminal offenses by the United
States Federal Bureau of Investigations (FBI) in their Uniform Crime Reporting
(UCR) program. Each record in the dataset represents the total of each type of
criminal offense reported in (or, in the case of missing data, attributed to)
the county in a given year.<br><br>A curated version of this data is available through ICPSR at https://www.icpsr.umich.edu/web/ICPSR/studies/38649/versions/V1
description: All counties in the United States, excluding US island territories. Smallest Geographic Unit: county
DOI: 10.3886/e120088v2
title: National Neighborhood Data Archive (NaNDA): Code for merging ZCTA level datasets with the UDS Mapper ZIP code to ZCTA crosswalk

description: NaNDA contains some datasets that measure neighborhood context at the ZIP Code Tabulation Area (ZCTA) level. They are intended for use with survey or other individual-level data containing ZIP codes. Because ZIP codes do not exactly match ZIP code tabulation areas, a crosswalk is required to use ZIP-code-level geocoded datasets with ZCTA-level datasets from NaNDA. A ZIP-code-to-ZCTA crosswalk is available on the UDS Mapper website at https://udsmapper.org/zip-code-to-zcta-crosswalk/.<br><br>The sample SAS and Stata code provided here merges the UDS Mapper crosswalk with NaNDA datasets. <br>
description: SAS and Stata code.
description: Code was written and tested with SAS v9 and Stata v16.2.
DOI: 10.3886/e128841v1
title: National Neighborhood Data Archive (NaNDA): Broadband Internet Access by ZIP Code Tabulation Area, United States, 2014-2018

description: This dataset contains
measures of broadband internet access and usage per United States ZIP code
tabulation area (ZCTA) in 2014 through 2018. The data is derived primarily from
internet service providers’ Form 477 reports to the Federal Communications
Commission. Key variables include the average upload and download speed of fixed
broadband connections, the number of internet service providers, and the number
of households with broadband.
description: ZCTAs in the United States, island territories, and possessions. . Smallest Geographic Unit: ZIP code tabulation area
description: A ZIP code to ZCTA crosswalk must be used to combine this dataset with ZIP code geocoded data must use a ZIP code to ZCTA crosswalk. Such a crosswalk is
available on the UDS Mapper website at https://udsmapper.org/zip-code-to-zcta-crosswalk/. Sample code for merging the UDS Mapper crosswalk with
NaNDA datasets is available on the NaNDA repository at https://www.openicpsr.org/openicpsr/project/120088/.
DOI: 10.3886/e155025v1
title: National Neighborhood Data Archive (NaNDA): Internet Access by ZIP Code Tabulation Area, United States, 2015-2019

description: This dataset contains measures of internet
access per United States ZIP code tabulation area (ZCTA) from the 2015-2019
American Community Survey five-year estimate. Key variables include the number
and percent of households per ZCTA with any type of internet subscription, with
broadband internet, and with a computer or smartphone.<br><br>A curated version of this data is available through ICPSR at https://doi.org/10.3886/ICPSR38559.v1<br>
description: ZCTAs in the United States, the District of Columbia, and Puerto Rico. Smallest Geographic Unit: ZIP code tabulation area
description: A ZIP code to ZCTA crosswalk must be used to combine this dataset with ZIP code geocoded data must use a ZIP code to ZCTA crosswalk. Such a crosswalk is
available on the UDS Mapper website at https://udsmapper.org/zip-code-to-zcta-crosswalk/. Sample code for merging the UDS Mapper crosswalk with
NaNDA datasets is available on the NaNDA repository at https://www.openicpsr.org/openicpsr/project/120088/.
DOI: 10.3886/e130282v1
title: National Neighborhood Data Archive (NaNDA): Public Transit Stops by ZIP Code Tabulation Area, United States, 2016-2018

description: This dataset lists the
number of public transit stops per United States ZIP code tabulation area
(ZCTA) based on data from the National Transit Map (NTM). Each observation
represents the count and density of transit stops within a ZCTA, as voluntarily
reported to NTM by one of 270 regional transit agencies choosing to participate
between 2016 and 2018.<br><br>A curated version of this data is available through ICPSR at https://www.icpsr.umich.edu/web/ICPSR/studies/38605/versions/V1<br>
description: Public transit stops within the fifty United States and US island territories, as voluntarily reported by NTM participating agencies between 2016 and 2018. (A list of agencies participating as of September 2019 is available as an appendix to the documentation.)<br>. Smallest Geographic Unit: ZIP code tabulation area
description: A ZIP code to ZCTA crosswalk must be used to combine this dataset with ZIP code geocoded data must use a ZIP code to ZCTA crosswalk. Such a crosswalk is
available on the UDS Mapper website at https://udsmapper.org/zip-code-to-zcta-crosswalk/. Sample code for merging the UDS Mapper crosswalk with
NaNDA datasets is available on the NaNDA repository at https://www.openicpsr.org/openicpsr/project/120088/.
DOI: 10.3886/e111109v1
title: National Neighborhood Data Archive (NaNDA): Public Transit Stops by Census Tract, United States, 2016-2018

description: This dataset lists the number of public transit stops per United States census tract based on data from the National Transit Map (NTM). Each observation represents the count and density (per capita and square mile) of transit stops within a census tract, as voluntarily reported to NTM between 2016 and 2018 by one of 270 regional transit agencies choosing to participate.<br><br>A curated version of this data is available through ICPSR at https://www.icpsr.umich.edu/web/ICPSR/studies/38605/versions/V1<br>
description: Public transit stops within the fifty United States and US island territories, as voluntarily reported by NTM participating agencies between 2016 and 2018. (A list of agencies participating as of September 2019 is available as an appendix to the documentation.). Smallest Geographic Unit: census tract
DOI: 10.5281/zenodo.15041735
title: Work attitudes are associated with stress at work

description: Data used in the paper "Work attitudes are associated with stress at work" submitted to AIMS Public Health
DOI: 10.5281/zenodo.15041736
title: Work attitudes are associated with stress at work

description: Data used in the paper "Work attitudes are associated with stress at work" submitted to AIMS Public Health
DOI: 10.15468/dl.u99xu8
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uzbekistan",
 "TaxonKey is Tulipa lehmanniana Merckl."
 ]
}

 The dataset includes 66 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013289-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e117921v1
title: National Neighborhood Data Archive (NaNDA): Parks by Census Tract, United States, 2018

description: This dataset describes
the number and area of parks in each census tract in the United States.
Measures include the total number of parks, park area, and proportion of park
area within each census tract.<br><br>A curated version of this data is available through ICPSR at https://www.icpsr.umich.edu/web/ICPSR/studies/38586/versions/V1<br>
description: Census tract in the United States, including Alaska and Hawaii. Smallest Geographic Unit: census tract
DOI: 10.3886/e119803v1
title: National Neighborhood Data Archive (NaNDA): Parks by ZIP Code Tabulation Area, United States, 2018

description: This dataset describes
the number and area of parks in each ZIP code tabulation area (ZCTA) in the United States.
Measures include the total number of parks, park area, and proportion of park
area within each ZCTA.<br><br>A curated version of this data is available through ICPSR at https://www.icpsr.umich.edu/web/ICPSR/studies/38586/versions/V1<br>
description: ZCTAs in the United States, including Alaska and Hawaii. Smallest Geographic Unit: ZIP code tabulation area
description: A ZIP code to ZCTA crosswalk must be used to combine this dataset with ZIP code geocoded data must use a ZIP code to ZCTA crosswalk. Such a crosswalk is
available on the UDS Mapper website at https://udsmapper.org/zip-code-to-zcta-crosswalk/. Sample code for merging the UDS Mapper crosswalk with
NaNDA datasets is available on the NaNDA repository at https://www.openicpsr.org/openicpsr/project/120088/.