cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14266380
title: Dataset: Modification of Gradient HPLC Method for Determination of Small Molecules' Affinity to Human Serum Albumin under Column Safety Conditions: Robustness and Chemometrics Study

description: Dataset for publication.
DOI: 10.5281/zenodo.14266426
title: Dataset: Modification of Gradient HPLC Method for Determination of Small Molecules' Affinity to Human Serum Albumin under Column Safety Conditions: Robustness and Chemometrics Study

description: Dataset for publication.
DOI: 10.15468/dl.52fw5p
title: Occurrence Download

description: A dataset containing 31742 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leucaena leucocephala (Lam.) de Wit, Acacia glauca (L.) Willd., Mimosa leucophala Lam., Mimosa leucocephala Lam., Leucaena glabra Benth., Acacia leucocephala (Lam.) F.Dietr., Acacia leucocephala (Lam.) Link, Leucaena leucocephala (Lam.) Dewit)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 31742 records from 463 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014507-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.efhzne
title: Occurrence Download

description: A dataset containing 110745 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Propylea quatuordecimpunctata",
 "Year 2000-2024"
 ]
}

 The dataset includes 110745 records from 731 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058904-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/hxh2-3857
title: Big Indian water chemistry dataset

description: Raw data for the Big Indian water chemistry 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.15178395
title: Summarizing Mobile Programming Screencasts dataset

description: Datasets of"Summarizing Mobile Programming Screencasts"
DOI: 10.5281/zenodo.8346847
title: Summarizing Mobile Programming Screencasts dataset

description: Datasets of"Summarizing Mobile Programming Screencasts"
DOI: 10.5281/zenodo.8346848
title: Summarizing Mobile Programming Screencasts dataset

description: Datasets of"Summarizing Mobile Programming Screencasts"
DOI: 10.5281/zenodo.15170626
title: EPA ORD Chemical Exposure Knowledgebase (ChemExpo) Chemicals and Products Database (CPDat) 4.0.0-alpha.3 (March 2024) Public Bulk Download Data

description: This provides an archive of the U.S. EPA's Chemicals and Products Database 4.0.0-alpha.3 (March 2024) in the format of the bulk download provided in EPA's Chemical Exposure Knowledgebase (https://comptox.epa.gov/chemexpo/). It includes data files for Functional Use, List Presence, and Composition data, as well as vocabulary definitions. More information about data formats and file contents can be found in the attached ChemExpo Knowledgebase User Guide (including section B.2: Bulk Data Downloads).

Further information on CPDat can be found in:

Sakshi Handa, Kristin K. Isaacs, Jonathan T. Wall, Allison Larger, Scott Burns, Lauren E. Koval, Kenta Baron-Furuyama, Colleen M. Elonen, David Lyons, Kathie L. Dionisio, M. Beth Horton, and Katherine A. Phillips. 'The Chemical and Products Database (CPDat) v4.0, an updated database for chemical and product information supporting chemical evaluations.' In review, Scientific Data (as of 4/8/2025).
DOI: 10.5281/zenodo.15170627
title: EPA ORD Chemical Exposure Knowledgebase (ChemExpo) Chemicals and Products Database (CPDat) 4.0.0-alpha.3 (March 2024) Public Bulk Download Data

description: This provides an archive of the U.S. EPA's Chemicals and Products Database 4.0.0-alpha.3 (March 2024) in the format of the bulk download provided in EPA's Chemical Exposure Knowledgebase (https://comptox.epa.gov/chemexpo/). It includes data files for Functional Use, List Presence, and Composition data, as well as vocabulary definitions. More information about data formats and file contents can be found in the attached ChemExpo Knowledgebase User Guide (including section B.2: Bulk Data Downloads).

Further information on CPDat can be found in:

Sakshi Handa, Kristin K. Isaacs, Jonathan T. Wall, Allison Larger, Scott Burns, Lauren E. Koval, Kenta Baron-Furuyama, Colleen M. Elonen, David Lyons, Kathie L. Dionisio, M. Beth Horton, and Katherine A. Phillips. 'The Chemical and Products Database (CPDat) v4.0, an updated database for chemical and product information supporting chemical evaluations.' In review, Scientific Data (as of 4/8/2025).
DOI: 10.15468/dl.d3rwt6
title: Occurrence Download

description: A dataset containing 3891 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Argentina, Peru, Bolivia (Plurinational State of), Brazil, Colombia, Ecuador, Costa Rica, French Guiana)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 3891 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072716-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e234605
title: Schools and Staffing Survey: Tables Library Data

description: <b>About SASS<br></b>The Schools and Staffing Survey (SASS) was conducted by NCES seven times between 1987 through 2011. SASS was an integrated study public and private school districts, schools, principals, and teachers designed to provide descriptive data on the context of elementary and secondary education. SASS covered a wide range of topics from teacher demand, teacher and principal characteristics, general conditions in schools, principals' and teachers' perceptions of school climate and problems in their schools, teacher compensation, district hiring and retention practices, to basic characteristics of the student population. After 2010–11, NCES redesigned SASS and named it the National Teacher and Principal Survey (NTPS) to reflect the redesigned study's focus on the teacher and principal labor market and on the state of K-12 school staff. NCES first conducted NTPS in 2015–16.<br><b><br></b><b>Data Organization</b><br>Each table has an associated excel and excel SE file, which are grouped together in a folder in the dataset (one folder per table). The folders are named based on the excel file names, as they were when downloaded from the National Center for Education Statistics (NCES) website.<br><br>In the SASS folder, there is a catalog csv that provides a crosswalk between the folder names and the table titles.<br><br>The documentation folder contains (1) codebooks for SASS generated in NCES datalabs, (2) questionnaires for SASS downloaded from the study website and (3) documentation and user manuals related to SASS found in the NCES resource library.<b></b>
description: SASS used a stratified probability sample design to ensure that the samples of schools, principals, teachers, districts, and school library media centers contained sufficient numbers for reliable estimates. Public and private schools were oversampled into groups based on certain characteristics. After schools were stratified and sampled, teachers within the schools were also stratified and sampled based on their characteristics.
description: Downloaded 6/25/25
DOI: 10.3886/e234605v1
title: Schools and Staffing Survey: Tables Library Data

description: <b>About SASS<br></b>The Schools and Staffing Survey (SASS) was conducted by NCES seven times between 1987 through 2011. SASS was an integrated study public and private school districts, schools, principals, and teachers designed to provide descriptive data on the context of elementary and secondary education. SASS covered a wide range of topics from teacher demand, teacher and principal characteristics, general conditions in schools, principals' and teachers' perceptions of school climate and problems in their schools, teacher compensation, district hiring and retention practices, to basic characteristics of the student population. After 2010–11, NCES redesigned SASS and named it the National Teacher and Principal Survey (NTPS) to reflect the redesigned study's focus on the teacher and principal labor market and on the state of K-12 school staff. NCES first conducted NTPS in 2015–16.<br><b><br></b><b>Data Organization</b><br>Each table has an associated excel and excel SE file, which are grouped together in a folder in the dataset (one folder per table). The folders are named based on the excel file names, as they were when downloaded from the National Center for Education Statistics (NCES) website.<br><br>In the SASS folder, there is a catalog csv that provides a crosswalk between the folder names and the table titles.<br><br>The documentation folder contains (1) codebooks for SASS generated in NCES datalabs, (2) questionnaires for SASS downloaded from the study website and (3) documentation and user manuals related to SASS found in the NCES resource library.<b></b>
description: SASS used a stratified probability sample design to ensure that the samples of schools, principals, teachers, districts, and school library media centers contained sufficient numbers for reliable estimates. Public and private schools were oversampled into groups based on certain characteristics. After schools were stratified and sampled, teachers within the schools were also stratified and sampled based on their characteristics.
description: Downloaded 6/25/25
DOI: 10.15468/dl.7kfzmb
title: Occurrence Download

description: A dataset containing 231500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Fulica cristata Gmelin, 1789",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 231500 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072705-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/4dymo1
title: Bibliometric analysis on the COVID-19 pandemic

description: Bibliometric analysis on the COVID-19 pandemic
DOI: 10.5281/zenodo.15758676
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Cristina Sandoval, https://orcid.org/0009-0008-8895-4963. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.15468/dl.35hxsk
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Fulmarus glacialoides (A.Smith, 1840)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 29 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072720-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdpqgb
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Peru",
 "Geometry POLYGON((-155.72792 -63.52691,6.72792 -63.52691,6.72792 1.52691,-155.72792 1.52691,-155.72792 -63.52691))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fissurella cumingi Reeve, 1849"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072721-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ehwt79
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Peru",
 "Geometry POLYGON((-131.50638 -46.62742,-18.49362 -46.62742,-18.49362 -1.37258,-131.50638 -1.37258,-131.50638 -46.62742))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fissurella bridgesii Reeve, 1849"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072725-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hv22s2
title: Occurrence Download

description: A dataset containing 1006 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Gactornis enarratus (G.R.Gray, 1871)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1006 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072726-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.1dcc35wv
title: Predynastic Vase (Imitation?) IES-NI-6047-1, Artifact Survey IES-2023-NI-6047

description: How to quote this model in a scientific paper?

N. Khattab, “Predynastic Vase (Imitation?) IES-2023-NI-6047, Artifact Survey IES-NI-6047-1", Strasbourg, 2023, DOI: 10.34847/nkl.1dcc35wv.

Note that specifying the model DOI is necessary to ensure its permanent quotation, regardless of its location. It is stored in a long-lasting way on the data service “Nakala” of the “TGIR Huma-Num” (https://www.nakala.fr).

The photogrammetric survey IES-NI-6047-1 has been conducted to document the objects of the Egyptological Collection of the University of Strasbourg, which was built up in the late 19th and early 20th centuries.

This vase inv. IES-NI-6047 (former inv. Spiegelberg IES 1877) was bought by W. Spiegelberg from Mansur in 1911 in Luxor.

Photographic survey and photogrammetric processing: Nada Khattab (Univ. de Strasbourg, CNRS, UMR 7044 Archimède).
DOI: 10.34847/nkl.1dcc84cp
title: THASOS - " Grande liste des théores " - Bloc IG XII 8, 295
title: Estampage n. 01379

description: numéro d'inventaire
description: notes bibliographiques
description: Source: Sève, Michel
description: Provenance: Grèce
description: Provenance: Athènes
description: Provenance: 6, rue Didotou 
10680 Athènes
description: Provenance: Salle des estampages
description: Provenance: École française d’Athènes
description: Provenance: 05D
description: modified: 13/12/2018
DOI: 10.5281/zenodo.15758598
title: Externally induced cortical traveling waves causally link neural timing to cognitive function

description: Dataset will be uploaded soon
DOI: 10.5281/zenodo.15758346
title: Sample2 demographic and contextual variables
title: Sample1 the cultural validity and psychometric properties of the measurement
title: AI SDS Analysis Report

description: This report presents an AI-assisted statistical analysis of self-determination in Turkish students with and without disabilities using the AIR Self-Determination Scale – Student Form (AIR-SDS-S). The study applies Decision Tree and Random Forest regression models alongside traditional statistical methods to identify key predictors such as disability status and school type. The findings offer practical insights for inclusive educational planning and personalized interventions.
DOI: 10.5281/zenodo.15758347
title: Sample2 demographic and contextual variables
title: Sample1 the cultural validity and psychometric properties of the measurement
title: AI SDS Analysis Report

description: This report presents an AI-assisted statistical analysis of self-determination in Turkish students with and without disabilities using the AIR Self-Determination Scale – Student Form (AIR-SDS-S). The study applies Decision Tree and Random Forest regression models alongside traditional statistical methods to identify key predictors such as disability status and school type. The findings offer practical insights for inclusive educational planning and personalized interventions.
DOI: 10.15468/dl.tsptag
title: Occurrence Download

description: A dataset containing 1124940 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Caracara plancus (J.F.Miller, 1777)"
 ]
}

 The dataset includes 1124940 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072709-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eyww56
title: Occurrence Download

description: A dataset containing 20317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Galerida cristata (Linnaeus, 1758)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 20317 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072729-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tv84md
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bertholletia excelsa Bonpl.",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 141 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072731-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.1ddaqv7s
title: Un essai

description: La bibliographie de Jules Vuillemin
description: Essai
DOI: 10.15468/dl.kv4qrr
title: Occurrence Download

description: A dataset containing 35491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Galerida magnirostris (Stephens, 1826)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 35491 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072732-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t62c74
title: Occurrence Download

description: A dataset containing 1587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Swietenia macrophylla G.King",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 1587 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072734-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cumae9
title: Occurrence Download

description: A dataset containing 2269794 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium pratense L., Tussilago farfara L., Elymus repens (L.) Gould, Alopecurus pratensis L., Vaccinium oxycoccos L.)",
 "Geometry POLYGON ((-180 45.53015, 180 45.53015, 180 83.62313, -180 83.62313, -180 45.53015))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than or equal to 50000"
 ]
}

 The dataset includes 2269794 records from 2344 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072723-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc1mdq1s
title: CCDC 1501765: Experimental Crystal Structure Determination

description: Related Article: Zijun Wu, Jian Wang|2017|ACS Catalysis|7|7647|doi:10.1021/acscatal.7b02302
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1mdq2t
title: CCDC 1501766: Experimental Crystal Structure Determination

description: Related Article: Natsuhisa Oka, Kensuke Ori, Kaori Ando|2017|Phosphorus,Sulfur,Silicon,Relat.Elem.|192|454|doi:10.1080/10426507.2016.1248763
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1mdq3v
title: CCDC 1501767: Experimental Crystal Structure Determination

description: Related Article: Gellért Sipos, Pengchao Gao, Daven Foster, Brian W. Skelton, Alexandre N. Sobolev, and Reto Dorta|2017|Organometallics|36|801|doi:10.1021/acs.organomet.6b00864
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1mdq4w
title: CCDC 1501768: Experimental Crystal Structure Determination

description: Related Article: Gellért Sipos, Pengchao Gao, Daven Foster, Brian W. Skelton, Alexandre N. Sobolev, and Reto Dorta|2017|Organometallics|36|801|doi:10.1021/acs.organomet.6b00864
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.