cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18500699
title: Docking and virtual screening data for natural product alternatives to alpha-glucosidase inhibitor acarbose

description: This dataset contains docking and virtual screening results for the discoveryof natural product inhibitors targeting alpha-glucosidase enzymes.

Targets:



2QMJ

3BAJ

5NN8


Docking was performed using GNINA. Processed outputs include:



CNN_VS scores for actives and decoys

Decoy molecule SMILES (output from LIDEB's Useful Decoys)

Redocking validation results

Docked poses for active compounds

A high-similarity candidate list derived from the COCONUT database


Each target's results are provided as compressed archives.
DOI: 10.5281/zenodo.18500886
title: State-level 30×30 conservation policy implementation and progress across the United States

description: This dataset presents a curated compilation of U.S. state-level 30×30 conservation policy implementation and progress. The 30×30 initiative aims to conserve 30% of lands and waters by 2030. While federal efforts have been documented, comprehensive state-level policy information has been dispersed across multiple government sources. This dataset standardizes policy records for 13 U.S. states that have adopted 30×30 commitments through executive orders, statutes, legislative resolutions, or executive commitments. Each record includes implementation type, policy documentation, current progress status, and links to primary source documents. The dataset is joined with U.S. Census state boundaries to enable spatial analysis and visualization.
DOI: 10.15468/dl.8f56yh
title: Occurrence Download

description: A dataset containing 79186 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EDP Baixo Sabor: Acoustic Bat Monitoring – Construction and Reservoir Filling Phases [2008-2014]"
 ]
}

 The dataset includes 79186 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015335-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7j7w92
title: Occurrence Download

description: A dataset containing 587 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EDP Baixo Sabor: Bivalvia - Compensatory Measures Program (measure MC10), Exploration Phase (2015-2020)."
 ]
}

 The dataset includes 587 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015346-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mdcg39
title: Occurrence Download

description: A dataset containing 10820 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EDP Baixo Sabor: Birds of Riparian Habitats - Reservoir Filling [2015] and Exploration [2015-2020] Phases"
 ]
}

 The dataset includes 10820 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015345-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26181/31246054
title: Navigating Change - Voices of the Murray Darling Basin

description: The Navigating Change oral history project specifically aimed to understand the diverse underlying values people attach to their environments, particularly water, and how these values are revealed during periods of change. It also sought to explore how conflicts around these values have been managed and how communities imagine their future. The research focused on three basin communities: Griffith, in the Southern Basin; Bourke, in the Northern Basin; and Loxton, in the South Australian Riverland. These communities were chosen for their different histories, geographies, and demographics. The inclusion criteria for participants were that they had resided in their community for more than 15 years and were aged over 18. Five key high-level values emerged from our analysis, (1) healthy ecosystems, (2) community centrism, (3) enacting the good farmer, (4) succession and generativity, and (5) personal health and wellbeing. This project highlighted the importance of understanding and accommodating communities’ values in future water management decisions to enhance community resilience and adaptability. Notably, it has reinforced the clear view expressed by interviewees: that genuine engagement moving forward requires Government acknowledgement of local expertise and openness to its inclusion in policy processes.Access to this collection is limited to researchers only - to access please contact the library https://www.latrobe.edu.au/library/about/contact#contact_form <br><br>
DOI: 10.26181/31246054.v1
title: Navigating Change - Voices of the Murray Darling Basin

description: The Navigating Change oral history project specifically aimed to understand the diverse underlying values people attach to their environments, particularly water, and how these values are revealed during periods of change. It also sought to explore how conflicts around these values have been managed and how communities imagine their future. The research focused on three basin communities: Griffith, in the Southern Basin; Bourke, in the Northern Basin; and Loxton, in the South Australian Riverland. These communities were chosen for their different histories, geographies, and demographics. The inclusion criteria for participants were that they had resided in their community for more than 15 years and were aged over 18. Five key high-level values emerged from our analysis, (1) healthy ecosystems, (2) community centrism, (3) enacting the good farmer, (4) succession and generativity, and (5) personal health and wellbeing. This project highlighted the importance of understanding and accommodating communities’ values in future water management decisions to enhance community resilience and adaptability. Notably, it has reinforced the clear view expressed by interviewees: that genuine engagement moving forward requires Government acknowledgement of local expertise and openness to its inclusion in policy processes.Access to this collection is limited to researchers only - to access please contact the library https://www.latrobe.edu.au/library/about/contact#contact_form <br><br>
DOI: 10.15468/dl.97gz6p
title: Occurrence Download

description: A dataset containing 2905 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EDP Baixo Sabor: Construction Phase – Vascular Flora and Habitats in the Work Fronts: species and habitats of conservation concern - [2010-2014]"
 ]
}

 The dataset includes 2905 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015348-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jha2rm
title: Occurrence Download

description: A dataset containing 2152 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EDP Baixo Sabor: Construction Phase – Invasive Species (work fronts) [2010-2014]"
 ]
}

 The dataset includes 2152 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015347-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18500603
title: SuperDARN data in netCDF format (2014-Sep)

description: 2014-Sep SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6476432
title: SuperDARN data in netCDF format (2014-Sep)

description: 2014-Sep SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.xzgmnq
title: Occurrence Download

description: A dataset containing 1550 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EDP Baixo Sabor: Construction and Reservoir Filling Phases - Cliff-nesting species: Breeding sites [2010-2014]"
 ]
}

 The dataset includes 1550 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015349-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvcswz
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IND",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera uncia"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015350-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15254992
title: Crossref relationships involving research organisations

description: This dataset contains relationships involving research organisations deposited by Crossref members and discovered by an automated affiliation matching strategy. It includes data deposited until the end of March 2025. The following relationships are included:



contributor’s affiliations

institutional contributors

work’s institutions

grant investigator’s affiliations


The dataset contains:



140,906,929 total assertions

1,014,325 (0.7%) assertions contain a ROR ID deposited by Crossref members

94,988,729 (67%) assertions contain a ROR ID discovered by an automated affiliation matching strategy


The dataset contains fields:



DOI (string): the DOI of the source work

relationship (contributor-affiliation, institutional-contributor, institution, or investigator-affiliation): the type of the relationship with the organisation

contributor-role (author, editor, chair, or translator): contributor's role, if the relationship is contributor-affiliation or institutional-contributor

contributor (object): contributor's metadata, if the relationship is contributor-affiliation

investigator-role (investigator, lead-investigator, or co-lead-investigator): grant investigator's role, if the relationship is investigator-affiliation

investigator (object): grant investigator's metadata, if the relationship is investigator-affiliation

seq_num (int): sequence number of the contributor, investigator, or institution in the original work (starts from 1)

organisation-string (string): string representing the organisation that was matched

ror-id (string): ROR ID of the organisation, either supplied by the publisher or the matching strategy

ror-id-asserted-by (publisher or matching): whether the ROR ID was supplied by the publisher or the matching strategy


Contributors and investigators have the following fields: given, family, suffix, alternate-name, ORCID.

The code of the affiliation matching strategy is available here.
DOI: 10.5281/zenodo.18500907
title: State-level 30×30 conservation policy implementation and progress across the United States

description: This dataset presents a curated compilation of U.S. state-level 30×30 conservation policy implementation and progress. The 30×30 initiative aims to conserve 30% of lands and waters by 2030. While federal efforts have been documented, comprehensive state-level policy information has been dispersed across multiple government sources. This dataset standardizes policy records for 13 U.S. states that have adopted 30×30 commitments through executive orders, statutes, legislative resolutions, or executive commitments. Each record includes implementation type, policy documentation, current progress status, and links to primary source documents. The dataset is joined with U.S. Census state boundaries to enable spatial analysis and visualization.
DOI: 10.5281/zenodo.18500885
title: State-level 30×30 conservation policy implementation and progress across the United States

description: This dataset presents a curated compilation of U.S. state-level 30×30 conservation policy implementation and progress. The 30×30 initiative aims to conserve 30% of lands and waters by 2030. While federal efforts have been documented, comprehensive state-level policy information has been dispersed across multiple government sources. This dataset standardizes policy records for 13 U.S. states that have adopted 30×30 commitments through executive orders, statutes, legislative resolutions, or executive commitments. Each record includes implementation type, policy documentation, current progress status, and links to primary source documents. The dataset is joined with U.S. Census state boundaries to enable spatial analysis and visualization.
DOI: 10.15468/dl.aqvx77
title: Occurrence Download

description: A dataset containing 1825 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EDP Baixo Sabor: Construction and Reservoir Filling Phases - Iberian Wolf (Canis lupus) [Sign surveys] [2010-2014]"
 ]
}

 The dataset includes 1825 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015353-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/87f6cc1fd125758e337fbb3e81e28b39
title: Hubbard Brook Experimental Forest: 15-minute Precipitation Measurements, 2011 - present

description: Beginning in 2011, ten electronic weighing rain gauges were progressively implemented at the Hubbard Brook Experimental Forest to measure precipitation at 15-minute intervals. These data were gathered at the Hubbard Brook Experimental Forest in Woodstock, NH, which is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.15468/dl.6qnbrq
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EDP Baixo Sabor: Construction and Reservoir Filling Phases - Eagle Owl (Bubo bubo) & Nocturnal Birds Surveys - [2010-2014]"
 ]
}

 The dataset includes 140 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015352-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sfdkrp
title: Occurrence Download

description: A dataset containing 63987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Glechoma hederacea)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 63987 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015316-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5uks7c
title: Occurrence Download

description: A dataset containing 587415 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hippoglossoides",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 587415 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015297-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sp7kzh
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EDP Baixo Sabor: Construction and Reservoir Filling Phases - Iberian Wolf [howling surveys] - [2010-2014]"
 ]
}

 The dataset includes 161 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015354-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqfrzm
title: Occurrence Download

description: A dataset containing 151 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EDP Baixo Sabor: Construction and Reservoir Filling Phases - Otter: camera-trapping - [2010-2013]"
 ]
}

 The dataset includes 151 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015357-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7vmnz
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EDP Baixo Sabor: Construction and Reservoir Filling Phases - Iberian Wolf [spotlight counts] - [2010-2014]"
 ]
}

 The dataset includes 126 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015356-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4pg9n
title: Occurrence Download

description: A dataset containing 3533 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Globularia bisnagarica, Globularia willkommii, Globularia elongata, Globularia punctata)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 3533 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015358-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bcdwtz
title: Occurrence Download

description: A dataset containing 554 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EDP Baixo Sabor: Construction and Reservoir Filling Phases - Riparian Birds, priority conservation species: fixed points & complementary observations - [2010-2014]"
 ]
}

 The dataset includes 554 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015359-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nscdc2
title: Occurrence Download

description: A dataset containing 2855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IND",
 "OccurrenceStatus is Present",
 "TaxonKey is Aceros nipalensis"
 ]
}

 The dataset includes 2855 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015360-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ddr7q
title: Occurrence Download

description: A dataset containing 264782 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, scientificname, decimallatitude, decimallongitude, eventdate, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= -33.06103686093294
 AND decimallatitude &lt;= -28.773895969281842
 AND decimallongitude &gt;= 113.67301865001613
 AND decimallongitude &lt;= 122.45456395408395
 AND GBIF_Within('POLYGON ((122.454564 -33.061037, 122.454564 -28.773896, 113.673019 -28.773896, 113.673019 -33.061037, 122.454564 -33.061037))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 264782 records were derived from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015344-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.