cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7st9bp
title: Occurrence Download

description: A dataset containing 846 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "Country is Germany",
 "GadmGid is one of (DEU.7_1, DEU.11_1, DEU.12_1, DEU.1_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IsInCluster is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Omocestus viridulus",
 "Year 2015-2025"
 ]
}

 The dataset includes 846 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022370-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17767982
title: PUDL Raw Mine Safety and Health Administration (MSHA) Mines

description: The Mine dataset lists all Coal and Metal/Non-Metal mines under MSHA's jurisdiction. It includes such information as the current status of each mine (Active, Abandoned, NonProducing, etc.), the current owner and operating company, commodity codes and physical attributes of the mine. Archived from 
https://arlweb.msha.gov/OpenGovernmentData/OGIMSHA.asp

This archive contains raw input data for the Public Utility Data Liberation (PUDL)
software developed by Catalyst Cooperative. It is
organized into Frictionless
Data Packages. For additional information about this data and PUDL, see the
following resources:


  
The PUDL Repository on GitHub
  
PUDL Documentation
  
Other Catalyst Cooperative data archives
DOI: 10.15468/dl.zzcr8h
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Material citation)",
 "Continent is Africa",
 "Country is Algeria",
 "Geometry POLYGON((-5.23110 30.32651,19.13363 30.32651,19.13363 40.07240,-5.23110 40.07240,-5.23110 30.32651))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Schinus molle"
 ]
}

 The dataset includes 46 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022371-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sa5a3y
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cola gigantea",
 "Year 2015-2025"
 ]
}

 The dataset's 3 records were derived from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022356-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3929/ethz-b-000748801
title: Comprehensive creep compliance characterization of orthotropic materials using an automated system: Data

description: This repositoray contains supplementary material for the publication Maas, J.M., Wittel, F.K., 2025. Comprehensive creep compliance characterization of orthotropic materials using an automated system. Holzforschung 79, 116–133. https://doi.org/10.1515/hf-2024-0108. The repository contains the raw strain data and the code utilized for the data prepropcessing, data analysis, and figure generation of the publication. It provides the required information for scientists who want to utilize the publication's experimental data for own analyses and data processing.
DOI: 10.25574/27684
title: Chandra X-ray Observatory ObsId 27684

description: Chandra Observations of The Most Distant Galaxy Protocluster Anchored by A Luminous Quasar at z=6.63
DOI: 10.17026/ar/thpgl4
title: PAN-00083976 - cylindrical or disc-shaped Roman block weight

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00083976&lt;/p&gt;
description: Modified: 2025-08-12T10:13:51+02:00
DOI: 10.15468/dl.dqxxys
title: Occurrence Download

description: A dataset containing 1896 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (Netherlands, Germany)",
 "TaxonKey is Canis lupus",
 "Year 2020-2024"
 ]
}

 The dataset includes 1896 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022372-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21223/p3/wuleg6
title: Dataset for: Characterization of Cooking and Texture Properties in Sweetpotato Parents, Landraces, and Elite Clones

description: A field trial with 46 genotypes and three replications was conducted at the Umbeluzi Research Station during the rainy season. The evaluation included dry matter content, crude fiber, cooking time, weight variation, texture, and tuber characteristics, which were assessed using DigiEye imaging
DOI: 10.15468/dl.5ze2kp
title: Occurrence Download

description: A dataset containing 4797 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.40311 43.42331,4.52109 43.43843,4.55311 43.34599,4.81131 43.31122,4.98869 43.32717,4.75954 43.42653,4.75941 43.50004,4.70678 43.57811,4.61442 43.69513,4.57006 43.71229,4.45006 43.71073,4.40794 43.60501,4.34161 43.55306,4.354 43.50025,4.40311 43.42331))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 4797 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022373-251120083545085/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.28816703
title: Data and code for: The Contributor Role Taxonomy (CRediT) at ten: a retrospective analysis of the diversity ofcontributions to published research output

description: ## About this notebook<br>This notebook was created using a helper script: Base.ipynb. This script has some helper functions that push output directly to Datawrapper to generate the graphs that have been included in the opnion piece. To run without the helper functions and bigquery alone use<br>!pip install google-cloud-bigquery<br>then add:<br>from google.cloud.bigquery import magicsproject_id = "your_project" # update as neededmagics.context.project = project_id<br>bq_params = {}<br><br>client = bigquery.Client(project=project_id)%load_ext google.cloud.bigquery<br>finally, comment out the make_chart lines.<br>### About dimensions-ai-integrity.ds_dp_pipeline_ripeta_staging.trust_markers_raw<br>dimensions-ai-integrity.ds_dp_pipeline_ripeta_staging.trust_markers_raw is an internal table that is the result of runing a process over the text of publications in order to identify trustmarker segments including authors contributions. The dataset was created on March 25th 2025.<br>The process works as follows:<br>The process aims to automatically segment research papers into their constituent sections. It operates by identifying headings within the text based on a pre-defined set of patterns and a rule-based system. The system first cleans and normalizes the input text. It then employs regular expressions to detect potential section headings. These potential headings are validated against a set of rules that consider factors such as capitalization, the context of surrounding words, and the typical order of sections within a research paper (e.g., certain sections not appearing after "References" or before "Abstract"). Specific rules also handle exceptions for particular heading types like "Keywords" or "Appendices." Once valid headings are identified, the system extracts the corresponding textual content for each section. The output is a structured representation of the paper, categorizing text segments under their respective heading types. Any text that doesn't fall under a recognized heading is also identified as unlabeled content. The overall process aims to provide a structured understanding of the document's organization for subsequent analysis.<br>Author Contributions segments are identified using the following regex:<br>"author_contributions": ["((credit|descript(ion(?:s)?|ive)| )*author(s|'s|ship|s')?( |contribution(?:s)?|statement(?:s)?|role(?:s)?){2,})","contribution(?:s)"]<br>Access to dimensions-ai-integrity.ds_dp_pipeline_ripeta_staging.trust_markers_raw is available to peer reveiwers of the opinion piece.<br><br>Datasets that allow external validation of the credit ontology process identification process have also been produced.
DOI: 10.6084/m9.figshare.28816703.v1
title: Data and code for: The Contributor Role Taxonomy (CRediT) at ten: a retrospective analysis of the diversity ofcontributions to published research output

description: ## About this notebook<br>This notebook was created using a helper script: Base.ipynb. This script has some helper functions that push output directly to Datawrapper to generate the graphs that have been included in the opnion piece. To run without the helper functions and bigquery alone use<br>!pip install google-cloud-bigquery<br>then add:<br>from google.cloud.bigquery import magicsproject_id = "your_project" # update as neededmagics.context.project = project_id<br>bq_params = {}<br><br>client = bigquery.Client(project=project_id)%load_ext google.cloud.bigquery<br>finally, comment out the make_chart lines.<br>### About dimensions-ai-integrity.ds_dp_pipeline_ripeta_staging.trust_markers_raw<br>dimensions-ai-integrity.ds_dp_pipeline_ripeta_staging.trust_markers_raw is an internal table that is the result of runing a process over the text of publications in order to identify trustmarker segments including authors contributions. The dataset was created on March 25th 2025.<br>The process works as follows:<br>The process aims to automatically segment research papers into their constituent sections. It operates by identifying headings within the text based on a pre-defined set of patterns and a rule-based system. The system first cleans and normalizes the input text. It then employs regular expressions to detect potential section headings. These potential headings are validated against a set of rules that consider factors such as capitalization, the context of surrounding words, and the typical order of sections within a research paper (e.g., certain sections not appearing after "References" or before "Abstract"). Specific rules also handle exceptions for particular heading types like "Keywords" or "Appendices." Once valid headings are identified, the system extracts the corresponding textual content for each section. The output is a structured representation of the paper, categorizing text segments under their respective heading types. Any text that doesn't fall under a recognized heading is also identified as unlabeled content. The overall process aims to provide a structured understanding of the document's organization for subsequent analysis.<br>Author Contributions segments are identified using the following regex:<br>"author_contributions": ["((credit|descript(ion(?:s)?|ive)| )*author(s|'s|ship|s')?( |contribution(?:s)?|statement(?:s)?|role(?:s)?){2,})","contribution(?:s)"]<br>Access to dimensions-ai-integrity.ds_dp_pipeline_ripeta_staging.trust_markers_raw is available to peer reveiwers of the opinion piece.<br><br>Datasets that allow external validation of the credit ontology process identification process have also been produced.
DOI: 10.15468/dl.y8kaun
title: Occurrence Download

description: A dataset containing 79435 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "GadmGid is one of (BRA, BRA.19_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Orchidaceae"
 ]
}

 The dataset includes 79435 records from 236 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022345-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13761153
title: 2024 10Ks up to September.
DOI: 10.5281/zenodo.13761154
title: 2024 10Ks up to September.
DOI: 10.15468/dl.zkb2bb
title: Occurrence Download

description: A dataset containing 939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Material sample, Material citation, Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Centaurium namophilum Reveal, Broome & Beatley, Arenaria ursina B.L.Rob., Gila bicolor mohavensis (Snyder, 1918), Lesquerella kingii subsp. bernardina (Munz) Munz, Oxytheca parishii var. goodmaniana Ertter, Pipilo crissalis eremophilus Van Rossem, 1935, Rorippa gambellii (S.Watson) Rollins & Al-Shehbaz, Sterna antillarum browni Mearns, 1916, Strix occidentalis occidentalis)"
 ]
}

 The dataset includes 939 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015584-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kd3n9z
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((111.35277 1.74421,147.64723 1.74421,147.64723 16.25579,111.35277 16.25579,111.35277 1.74421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hamza Distant, 1904"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015583-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.un2e4g
title: Occurrence Download

description: A dataset containing 249093 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "SpeciesKey is Sturnella neglecta Audubon, 1844",
 "HasCoordinate is TRUE",
 "Year is 2023"
 ]
}

 The dataset includes 249093 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015544-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2s6yec
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Ditylenchus dipsaci (Kühn, 1857) Filipjev, 1936)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 28 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015585-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g2wnrp
title: Occurrence Download

description: A dataset containing 1073 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Croton sylvaticus Hochst.",
 "Continent is Africa"
 ]
}

 The dataset includes 1073 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015586-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7kyybq
title: Occurrence Download

description: A dataset containing 1829 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Setonix brachyurus (Quoy & Gaimard, 1830)"
 ]
}

 The dataset includes 1829 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015587-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sv335g
title: Occurrence Download

description: A dataset containing 823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Material sample, Material citation, Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Ceanothus ophiochilus S.Boyd, T.S.Ross & Arnseth, Dinacoma caseyi Blaisdell, 1930, Dudleya cymosa subsp. ovatifolia (Britton) Moran, Ovis canadensis nelsoni Merriam, 1897)"
 ]
}

 The dataset includes 823 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015589-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25592/uhhfdm.15730
title: Papers of Ernst Leumann (463): (Indogermanisch-)Indische Religionsgeschichte

description: <strong>(Indogermanisch-)Indische Religionsgeschichte</strong>Apparently a final ms. neatly writtenKatalognummer: 463Medium/Umfang: unbound leaves; pp. 1-43Lokale Notation: Schu: 4.B.2.Projektmetadaten:<pre>20 : (Indogermanisch-)Indische Religionsgeschichte
30b: Schu: 4.B.2.
76 : Winter 1908/9
77 : unbound leaves; pp. 1-43
90 : 463
93 : Apparently a final ms. neatly written
</pre>
description: Reference: Plutat, Birte: Catalogue of the papers of Ernst Leumann in the Institute for the Culture and History of India and Tibet, University of Hamburg. Stuttgart: Steiner, 1998. Copybook 463, p. resp fol. [No of page of leaf]
The remains belong to "Universität Hamburg - Asien-Afrika-Institut - Abteilung für Kultur und Geschichte Indiens und Tibets".
DOI: 10.25592/uhhfdm.15731
title: Papers of Ernst Leumann (463): (Indogermanisch-)Indische Religionsgeschichte

description: <strong>(Indogermanisch-)Indische Religionsgeschichte</strong>Apparently a final ms. neatly writtenKatalognummer: 463Medium/Umfang: unbound leaves; pp. 1-43Lokale Notation: Schu: 4.B.2.Projektmetadaten:<pre>20 : (Indogermanisch-)Indische Religionsgeschichte
30b: Schu: 4.B.2.
76 : Winter 1908/9
77 : unbound leaves; pp. 1-43
90 : 463
93 : Apparently a final ms. neatly written
</pre>
description: Reference: Plutat, Birte: Catalogue of the papers of Ernst Leumann in the Institute for the Culture and History of India and Tibet, University of Hamburg. Stuttgart: Steiner, 1998. Copybook 463, p. resp fol. [No of page of leaf]
The remains belong to "Universität Hamburg - Asien-Afrika-Institut - Abteilung für Kultur und Geschichte Indiens und Tibets".
DOI: 10.15468/dl.xcy5q2
title: Occurrence Download

description: A dataset containing 3626518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Passerculus sandwichensis (J.F.Gmelin, 1789)"
 ]
}

 The dataset includes 3626518 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015548-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5krem9
title: Occurrence Download

description: A dataset containing 2830151 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "StateProvince is one of (antioquia)",
 "TaxonKey is one of (Chordata)"
 ]
 }
 ]
}

 The dataset includes 2830151 records from 268 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015540-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5vvaa
title: Occurrence Download

description: A dataset containing 4718 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Colombia, Brazil, Guyana, Venezuela (Bolivarian Republic of), Suriname, Trinidad and Tobago, Bolivia (Plurinational State of), Peru)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Glossophaga soricina (Pallas, 1766)"
 ]
}

 The dataset includes 4718 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015590-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cz8ftd
title: Occurrence Download

description: A dataset containing 3115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lacerta viridis (Laurenti, 1768)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 3115 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015588-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.srwert
title: Occurrence Download

description: A dataset containing 318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Cryptosepalum exfoliatum De Wild.",
 "Continent is Africa"
 ]
}

 The dataset includes 318 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015592-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ugst9e
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Fusarium sporotrichioides Sherb.)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 38 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015591-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7eq7gq
title: Occurrence Download

description: A dataset containing 712 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Cryptosepalum maraviense Oliv.",
 "Continent is Africa"
 ]
}

 The dataset includes 712 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015593-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.