cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/n3297d
title: Site 8 (Delcourt  et al. 1983) pollen surface sample dataset

description: Raw data for the Site 8 (Delcourt  et al. 1983) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.gh7zwm
title: Occurrence Download

description: A dataset containing 5265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "Country is one of (Mexico, United States of America, Canada)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trifolium wormskioldii"
 ]
}

 The dataset includes 5265 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015984-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/n3bg80
title: Site 9 (Delcourt  et al. 1983) pollen surface sample dataset

description: Raw data for the Site 9 (Delcourt  et al. 1983) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n36s4b
title: Site 10 (Delcourt  et al. 1983) pollen surface sample dataset

description: Raw data for the Site 10 (Delcourt  et al. 1983) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n3331c
title: Site 11 (Delcourt  et al. 1983) pollen surface sample dataset

description: Raw data for the Site 11 (Delcourt  et al. 1983) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n3j984
title: Site 12 (Delcourt  et al. 1983) pollen surface sample dataset

description: Raw data for the Site 12 (Delcourt  et al. 1983) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.16692850
title: Koina Manuscript Extra Source Data

description: Larger data files to accompany Source Data for the manuscript "Koina: Democratizing machine learning for proteomics research". Includes source data, search results, and Jupyter notebooks for figure generation.
DOI: 10.15468/dl.nhfcz3
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tradescantia spathacea",
 "Country is Mauritius",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015987-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h82sst
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 2009",
 "Year is less than or equal to 2025",
 "Country is one of (United States of America)",
 "StateProvince is California",
 "TaxonKey is Myotis septentrionalis"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015991-250802193616735/datasets/export for details.
DOI: 10.21233/n3dm7m
title: Site 13 (Delcourt  et al. 1983) pollen surface sample dataset

description: Raw data for the Site 13 (Delcourt  et al. 1983) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.78733b
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Timonius pulgarensis"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015990-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/n38t49
title: Site 14 (Delcourt  et al. 1983) pollen surface sample dataset

description: Raw data for the Site 14 (Delcourt  et al. 1983) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/x96yq9
title: Two new Pristimantis (Anura: Strabomantidae) of the P. lacrimosus species group from the eastern Guiana Shield lowlands

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mônico, Alexander Tamanini, Courtois, Elodie A., Koch, Esteban Diego, Blanc, Michel, Dewynter, Maël, Kok, Philippe J. R. (2025): Two new Pristimantis (Anura: Strabomantidae) of the P. lacrimosus species group from the eastern Guiana Shield lowlands. European Journal of Taxonomy 1004: 259-293, DOI: 10.5852/ejt.2025.1004.2977, URL: https://europeanjournaloftaxonomy.eu/index.php/ejt/article/download/2977/13411
DOI: 10.15468/dl.2h52y8
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leiognathus leuciscus"
 ]
}

 The dataset includes 61 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015992-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j29se4
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Namibia",
 "TaxonKey is Branchiopoda"
 ]
}

 The dataset includes 96 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015993-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/n3541b
title: Site 15 (Delcourt  et al. 1983) pollen surface sample dataset

description: Raw data for the Site 15 (Delcourt  et al. 1983) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n31d74
title: Site 16 (Delcourt  et al. 1983) pollen surface sample dataset

description: Raw data for the Site 16 (Delcourt  et al. 1983) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n39k7b
title: Site 17 (Delcourt  et al. 1983) pollen surface sample dataset

description: Raw data for the Site 17 (Delcourt  et al. 1983) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n35s41
title: Site 18 (Delcourt  et al. 1983) pollen surface sample dataset

description: Raw data for the Site 18 (Delcourt  et al. 1983) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n3232f
title: Site 19 (Delcourt  et al. 1983) pollen surface sample dataset

description: Raw data for the Site 19 (Delcourt  et al. 1983) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.w5cnnu
title: Occurrence Download

description: A dataset containing 236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Neodrepanis hypoxantha)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 236 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015994-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/n3hd8v
title: Site 20 (Delcourt  et al. 1983) pollen surface sample dataset

description: Raw data for the Site 20 (Delcourt  et al. 1983) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.mcbsuj
title: Occurrence Download

description: A dataset containing 1489 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Neodrepanis coruscans)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1489 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015995-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xmp4dk
title: Occurrence Download

description: A dataset containing 238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Neolalage banksiana)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 238 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015996-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/n3cm45
title: Site 21 (Delcourt  et al. 1983) pollen surface sample dataset

description: Raw data for the Site 21 (Delcourt  et al. 1983) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.gtkwyt
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Timonius quinqueflorus"
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015997-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/n37x3n
title: Site 22 (Delcourt  et al. 1983) pollen surface sample dataset

description: Raw data for the Site 22 (Delcourt  et al. 1983) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n3439q
title: Site 23 (Delcourt  et al. 1983) pollen surface sample dataset

description: Raw data for the Site 23 (Delcourt  et al. 1983) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n30d9k
title: Site 24 (Delcourt  et al. 1983) pollen surface sample dataset

description: Raw data for the Site 24 (Delcourt  et al. 1983) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15794483
title: On the Implementation of OS-Specific Tests: The CPython Case

description: This dataset was utilized in the research paper titled "On the Implementation of OS-Specific Tests: The CPython Case" for publication in Brazilian Symposium on Systematic and Automated Software Testing (SAST). Herein, we present a concise abstract of the study.

Modern software systems are frequently developed and tested across multiple platforms.Consequently, practitioners may need to handle platform-specific code in production or test code.In the software testing context, practitioners adapt the tests to run differently according to the target platform.These tests, which need to identify the platform on which they will be executed, are referred to as OS-specific tests.In this paper, we present an empirical study to evaluate how developers implement OS-specific tests in CPython. This knowledge can be used to understand OS-specific tests better and discover common issues faced by practitioners when testing across multiple platforms.We mine the canonical implementation of the Python programming language and assess their OS-specific tests quantitatively.We propose three research questions to assess the frequency, location, and issues related to OS-specific tests.Our results show that OS-specific tests are common in the CPython project, and 13% of the analyzed test files are OS-specific tests (RQ1).OS Identification APIs in tests are used more frequently in test decorators (53.46%) than in test code (46.54%), and the test decorator @unittest.skipUnless is the most used to skip tests depending on the platform (RQ2).We find 170 issues related to OS-specific tests in CPython. Windows is the most targeted platform, and 27.06% of the test decorators are related to issues (RQ3).Lastly, we discussed practical implications for practitioners and researchers.Based on our findings, we discussed the importance of testing on multiple platforms, the relationship between issues and related to OS-specific tests, the cascading effects that may occur with CPython-dependent systems, and we relate the issues to vulnerabilities.
DOI: 10.3886/e237083
title: Survey on Genetic Researchers’ Experiences and Perspectives on Genetic Data Sharing

description: The goal of this survey was to assess genetics researchers’ experiences and perspectives with using different sources of human genetic data for research. Specifically, the survey focused on: 1) the advantages, limitations, and accessibility of various types of genetic databases (including government, private, and consortium-managed resources); 2) researchers’ experiences navigating requirements, obstacles, and data-sharing processes; and 3) perspectives on how current dataset options do or do not meet research needs, including ancestral and demographic representation, consent, and data management.<br><br>Findings from this survey will inform recommendations to improve genetic data sharing and enhance the utility and diversity of genetic datasets for the research community.
description: Genetic researchers affiliated with U.S. academic institutions who have experience publishing and using various types of human genetic databases.
DOI: 10.5281/zenodo.15794482
title: On the Implementation of OS-Specific Tests: The CPython Case

description: This dataset was utilized in the research paper titled "On the Implementation of OS-Specific Tests: The CPython Case" for publication in Brazilian Symposium on Systematic and Automated Software Testing (SAST). Herein, we present a concise abstract of the study.

Modern software systems are frequently developed and tested across multiple platforms.Consequently, practitioners may need to handle platform-specific code in production or test code.In the software testing context, practitioners adapt the tests to run differently according to the target platform.These tests, which need to identify the platform on which they will be executed, are referred to as OS-specific tests.In this paper, we present an empirical study to evaluate how developers implement OS-specific tests in CPython. This knowledge can be used to understand OS-specific tests better and discover common issues faced by practitioners when testing across multiple platforms.We mine the canonical implementation of the Python programming language and assess their OS-specific tests quantitatively.We propose three research questions to assess the frequency, location, and issues related to OS-specific tests.Our results show that OS-specific tests are common in the CPython project, and 13% of the analyzed test files are OS-specific tests (RQ1).OS Identification APIs in tests are used more frequently in test decorators (53.46%) than in test code (46.54%), and the test decorator @unittest.skipUnless is the most used to skip tests depending on the platform (RQ2).We find 170 issues related to OS-specific tests in CPython. Windows is the most targeted platform, and 27.06% of the test decorators are related to issues (RQ3).Lastly, we discussed practical implications for practitioners and researchers.Based on our findings, we discussed the importance of testing on multiple platforms, the relationship between issues and related to OS-specific tests, the cascading effects that may occur with CPython-dependent systems, and we relate the issues to vulnerabilities.
DOI: 10.3886/e237083v1
title: Survey on Genetic Researchers’ Experiences and Perspectives on Genetic Data Sharing

description: The goal of this survey was to assess genetics researchers’ experiences and perspectives with using different sources of human genetic data for research. Specifically, the survey focused on: 1) the advantages, limitations, and accessibility of various types of genetic databases (including government, private, and consortium-managed resources); 2) researchers’ experiences navigating requirements, obstacles, and data-sharing processes; and 3) perspectives on how current dataset options do or do not meet research needs, including ancestral and demographic representation, consent, and data management.<br><br>Findings from this survey will inform recommendations to improve genetic data sharing and enhance the utility and diversity of genetic datasets for the research community.
description: Genetic researchers affiliated with U.S. academic institutions who have experience publishing and using various types of human genetic databases.
DOI: 10.21233/n38k6n
title: Site 25 (Delcourt  et al. 1983) pollen surface sample dataset

description: Raw data for the Site 25 (Delcourt  et al. 1983) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.x8fxrr
title: Occurrence Download

description: A dataset containing 35555 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Sturnella magna"
 ]
}

 The dataset includes 35555 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015998-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/n34w4r
title: Site 26 (Delcourt  et al. 1983) pollen surface sample dataset

description: Raw data for the Site 26 (Delcourt  et al. 1983) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.yhcyyz
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tradescantia spathacea",
 "Country is Nicaragua",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015999-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/n3131r
title: Site 27 (Delcourt  et al. 1983) pollen surface sample dataset

description: Raw data for the Site 27 (Delcourt  et al. 1983) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.dzswtz
title: Occurrence Download

description: A dataset containing 63981 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Berberis thunbergii)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 63981 records from 376 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015989-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.