cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.hntumc
title: Occurrence Download

description: A dataset containing 249 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Fokienia A.Henry & H.H.Thomas"
 ]
}

 The dataset includes 249 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0258884-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ab35uk
title: Occurrence Download

description: A dataset listing the 14526 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset's 14526 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034050-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3d9v3
title: Occurrence Download

description: A dataset containing 1074 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sphyraena pinguis Günther, 1874)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1074 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051314-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.slbfys
title: Occurrence Download

description: A dataset containing 4300858 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation"
 ]
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is Canada",
 "Country is Saint Pierre and Miquelon"
 ]
 },
 "HasCoordinate is true",
 {
 "or" : [
 "TaxonKey is Parus atricapillus Linnaeus, 1766",
 "TaxonKey is Poecile atricapillus (Linnaeus, 1766)"
 ]
 },
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4300858 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009623-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q624uh
title: Occurrence Download

description: A dataset containing 43497545 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Month is one of (July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2020-2020"
 ]
}

 The dataset includes 43497545 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001799-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18529323
title: SuperDARN data in netCDF format (2020-Sep)

description: 2020-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.7309041
title: SuperDARN data in netCDF format (2020-Sep)

description: 2020-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: 10.57783/wxh6-sh52
title: LibreChat
DOI: 10.15468/dl.3wyavr
title: Occurrence Download

description: A dataset containing 56640000 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Month is one of (May, April, March, February, January, June)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2020-2020"
 ]
}

 The dataset includes 56640000 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001798-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bbrmqt
title: Occurrence Download

description: A dataset containing 37188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Crassula helmsii, Lithobates catesbeianus, Misgurnus mohoity, Myriophyllum aquaticum, Procambarus clarkii, Procambarus virginalis, Xenopus laevis, Zizania latifolia)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 37188 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001814-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7kjde6
title: Occurrence Download

description: A dataset containing 273 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "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;= 37.42857426825602
 AND decimallongitude &gt;= 89.05786469387924
 AND decimallongitude &lt;= 97.85900704989292
 AND GBIF_Within('POLYGON ((97.859007 33.061037, 97.859007 37.428574, 89.057865 37.428574, 89.057865 33.061037, 97.859007 33.061037))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 273 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001812-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bk2p8m
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acourtia ovatifolia",
 "Year 1983-2026"
 ]
}

 The dataset includes 13 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001816-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gfscfe
title: Occurrence Download

description: A dataset containing 14011 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "GadmGid is PER.21.5.8_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 14011 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001815-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14777955
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.vfz6zr
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acourtia oxylepis",
 "Year 1983-2026"
 ]
}

 The dataset includes 24 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001818-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.36091
title: E. coli transconjugant strains from livestock and poultry manure across Beijing, Hebei, Ningxia in China during 2022–2024
title: E. coli transconjugant strains from livestock and poultry manure across Beijing, Hebei, Ningxia in China during 2022–2024

description: To obtain conjugative antimicrobial resistance plasmids (CARPs) from livestock manure samples, E. coli NK5449 was used as the recipient strain for plasmid capture, and the E. coli transconjugant strains with successful plasmid capture were subjected to Illumina high-throughput sequencing.
description: To obtain conjugative antimicrobial resistance plasmids (CARPs) from livestock manure samples, E. coli NK5449 was used as the recipient strain for plasmid capture, and the E. coli transconjugant strains with successful plasmid capture were subjected to Illumina high-throughput sequencing.
DOI: 10.15468/dl.u5qutx
title: Occurrence Download

description: A dataset containing 514202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haemulon",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 514202 records from 275 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001807-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.36292
title: Construction of an RD model for SAR images based on an RPC model
title: Construction of an RD model for SAR images based on an RPC model

description: The construction of a range-Doppler (RD) model for spaceborne synthetic aperture radar (SAR) images has traditionally relied on manual analysis of auxiliary parameter files, resulting in subjectivity and limited generalizability. An RD model is established in this research using a high-precision rational polynomial coefficients (RPC) framework. Two methods were created to determine RD model parameters and apply the RPC-based construction concept. The first is a numerical method, in which RD model parameters are derived by formulating a nonlinear equation system that integrates control-point data from the RPC model and using a least-squares iterative strategy. The second is an analytical method that applies the concept of forward intersection and establishes a step-by-step solution process based on positional information, orbit data, slant range, and Doppler measurements. The experimental analysis employed Gaofen-3 SAR images with four distinct spatial resolutions in two test sites, namely Zhongwei (Ningxia) and Songshan (Henan), China. The fitting and positioning accuracies achieved by the two methods were compared. Both RD models have a fitting error of approximately 1 pixel across four image resolutions. Additionally, the planar positioning accuracy of the two methods aligns with the RPC model, showing a discrepancy of no more than 2.6 m. These results confirm that the methods introduced performs effectively.
description: The construction of a range-Doppler (RD) model for spaceborne synthetic aperture radar (SAR) images has traditionally relied on manual analysis of auxiliary parameter files, resulting in subjectivity and limited generalizability. An RD model is established in this research using a high-precision rational polynomial coefficients (RPC) framework. Two methods were created to determine RD model parameters and apply the RPC-based construction concept. The first is a numerical method, in which RD model parameters are derived by formulating a nonlinear equation system that integrates control-point data from the RPC model and using a least-squares iterative strategy. The second is an analytical method that applies the concept of forward intersection and establishes a step-by-step solution process based on positional information, orbit data, slant range, and Doppler measurements. The experimental analysis employed Gaofen-3 SAR images with four distinct spatial resolutions in two test sites, namely Zhongwei (Ningxia) and Songshan (Henan), China. The fitting and positioning accuracies achieved by the two methods were compared. Both RD models have a fitting error of approximately 1 pixel across four image resolutions. Additionally, the planar positioning accuracy of the two methods aligns with the RPC model, showing a discrepancy of no more than 2.6 m. These results confirm that the methods introduced performs effectively.
DOI: 10.5281/zenodo.14213482
title: Data and code for the paper titled "Pole-to-Pole teleconnection: Tibetan warming drives Arctic sea-ice decline"

description: This is the data and code for the paper titled "Pole-to-Pole teleconnection: Tibetan warming drives Arctic sea-ice decline", which is to be submitted for peer review.
DOI: 10.5281/zenodo.13821900
title: Data and code for the paper titled "Pole-to-Pole teleconnection: Tibetan warming drives Arctic sea-ice decline"

description: This is the data and code for the paper titled "Pole-to-Pole teleconnection: Tibetan warming drives Arctic sea-ice decline", which is to be submitted for peer review.
DOI: 10.15468/dl.tfftvs
title: Occurrence Download

description: A dataset containing 437 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Elevation 0.0-500.0m",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acacia auriculiformis",
 "Year 1950-2026"
 ]
}

 The dataset includes 437 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001820-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bavg46
title: Occurrence Download

description: A dataset containing 2419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-103.44885 20.41313,-103.1826 20.41313,-103.1826 20.60037,-103.44885 20.60037,-103.44885 20.41313))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 2419 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001821-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qyturu
title: Occurrence Download

description: A dataset containing 2021 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "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;= 37.42857426825602
 AND decimallongitude &gt;= 94.62398123724668
 AND decimallongitude &lt;= 103.61541922929841
 AND GBIF_Within('POLYGON ((103.615419 33.061037, 103.615419 37.428574, 94.623981 37.428574, 94.623981 33.061037, 103.615419 33.061037))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 2021 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001817-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.anx7s5
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acourtia parryi",
 "Year 2000-2026"
 ]
}

 The dataset includes 30 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001823-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vrmtp8
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.21966 41.99653,0.36220 41.99653,0.36220 43.42867,-3.21966 43.42867,-3.21966 41.99653))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hygrophorus marzuolus"
 ]
}

 The dataset includes 138 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001824-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14777987
title: SOLANA Price Data Binance API (2020–Now)
DOI: 10.5281/zenodo.18529593
title: Coercion Through Procedure as Poverty Infrastructure

description: Abstract

This article presents a journal-format case study of Family Xavier, a long-term public-housing household subjected to escalating administrative enforcement following boundary assertion and grievance filing. Using the analytic framework of coercion through procedure, the study demonstrates how public housing systems operationalize poverty not as a condition to be resolved but as a control environment sustained through delayed notice, debt re-aging, surveillance without remediation, and credibility asymmetry. The case is explicitly cross-cited with the author’s prior poverty framework and procedural-harm analyses to show convergence between theory and lived administrative outcomes. A comparative table situates the case alongside documented patterns in housing, benefits administration, and child-welfare interfaces.
DOI: 10.5281/zenodo.18529592
title: Coercion Through Procedure as Poverty Infrastructure

description: Abstract

This article presents a journal-format case study of Family Xavier, a long-term public-housing household subjected to escalating administrative enforcement following boundary assertion and grievance filing. Using the analytic framework of coercion through procedure, the study demonstrates how public housing systems operationalize poverty not as a condition to be resolved but as a control environment sustained through delayed notice, debt re-aging, surveillance without remediation, and credibility asymmetry. The case is explicitly cross-cited with the author’s prior poverty framework and procedural-harm analyses to show convergence between theory and lived administrative outcomes. A comparative table situates the case alongside documented patterns in housing, benefits administration, and child-welfare interfaces.
DOI: 10.5281/zenodo.18529463
title: Supplementary Data to: Whale Sharks do it Deeper: Extension of Known Depth Range for Rhincodon typus from Satellite Telemetry Data in the Coral Sea, Australia

description: This Miller2026_Depth_record_readme.txt file was generated on 2026-02-09 by Ingo Miller

GENERAL INFORMATION

Title of Dataset: Supplementary Data to: “Whale Sharks do it Deeper: Extension of Known Depth Range for Rhincodon typus from Satellite Telemetry Data in the Coral Sea, Australia”

Author InformationName: Ingo MillerInstitution: Biopixel Oceans Foundation, James Cook University Address: 14-88 McGregor Rd, Cairns, 4870 Qld, AustraliaEmail: ingo.miller@my.jcu.edu.au

DATA & FILE OVERVIEW

File List: 

1. 266158-Histos.csvThis file contains the Argos transmitted archived histogram data of satellite tag ID266158. 

2. PTT266158_SSM_fitted_dive_track.csvThis file contains the state-space-model estimated locations of dive records. Further details to be found in the main text.
DOI: 10.5281/zenodo.18529464
title: Supplementary Data to: Whale Sharks do it Deeper: Extension of Known Depth Range for Rhincodon typus from Satellite Telemetry Data in the Coral Sea, Australia

description: This Miller2026_Depth_record_readme.txt file was generated on 2026-02-09 by Ingo Miller

GENERAL INFORMATION

Title of Dataset: Supplementary Data to: “Whale Sharks do it Deeper: Extension of Known Depth Range for Rhincodon typus from Satellite Telemetry Data in the Coral Sea, Australia”

Author InformationName: Ingo MillerInstitution: Biopixel Oceans Foundation, James Cook University Address: 14-88 McGregor Rd, Cairns, 4870 Qld, AustraliaEmail: ingo.miller@my.jcu.edu.au

DATA & FILE OVERVIEW

File List: 

1. 266158-Histos.csvThis file contains the Argos transmitted archived histogram data of satellite tag ID266158. 

2. PTT266158_SSM_fitted_dive_track.csvThis file contains the state-space-model estimated locations of dive records. Further details to be found in the main text.