cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.qrja4n
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 one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Rhinella diptycha)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024959-250802193616735/datasets/export for details.
DOI: 10.2908/earn_ses10_rhr
title: Salaire horaire moyen par région NUTS 1 (entreprises avec 10 employés ou plus) - NACE Rév. 2, B-S excepté O (2010)
title: Durchschnittlicher Stundenverdienst nach NUTS-1-Region (Unternehmen mit 10 Angestellten oder mehr) - NACE Rev. 2, B-S ohne O (2010)
title: Mean hourly earnings by NUTS 1 region (enterprises with 10 employees or more) - NACE Rev. 2, B-S excluding O (2010)
DOI: 10.5281/zenodo.16566621
title: Defining Peptides in ChEBI - Supplementary Data

description: Supplementary data for the paper "Defining Peptides in ChEBI".

This dataset includes:



Additional File 1: chemlog.omn - The revised peptide ontology (OWL Manchester Syntax)

Additional File 2: substructures_fol.tptp - The FOL definitions of 2,5-diketopiperazines and emericellamide (TPTP Syntax)

Additional File 3: proteinogenics_fol.tptp - The FOL definitions of proteinogenic amino acid residues (TPTP Syntax)

 Additional File 4: pubchem_classification_results.zip - Classification results of our approach on PubChem molecules (JSON)

Additional File 5: chebi_classification_results.json - Classification results of our approach on ChEBI molecules (JSON)

Additional File 6: chebi_3_star_molecules_manual_eval.ods - Manual classification of ChEBI molecules where our approach did not make a positive classification made by ChEBI (OpenDocument Spreadsheet)

Additional File 7: questionnaire_peptide_classification.odt - Questionnaire used for the expert survey (OpenDocument Text)

Additional File 8: questionnaire_peptide_classification.pdf - Questionnaire used for the expert survey (PDF)
DOI: 10.5281/zenodo.16566622
title: Defining Peptides in ChEBI - Supplementary Data

description: Supplementary data for the paper "Defining Peptides in ChEBI".

This dataset includes:



Additional File 1: chemlog.omn - The revised peptide ontology (OWL Manchester Syntax)

Additional File 2: substructures_fol.tptp - The FOL definitions of 2,5-diketopiperazines and emericellamide (TPTP Syntax)

Additional File 3: proteinogenics_fol.tptp - The FOL definitions of proteinogenic amino acid residues (TPTP Syntax)

 Additional File 4: pubchem_classification_results.zip - Classification results of our approach on PubChem molecules (JSON)

Additional File 5: chebi_classification_results.json - Classification results of our approach on ChEBI molecules (JSON)

Additional File 6: chebi_3_star_molecules_manual_eval.ods - Manual classification of ChEBI molecules where our approach did not make a positive classification made by ChEBI (OpenDocument Spreadsheet)

Additional File 7: questionnaire_peptide_classification.odt - Questionnaire used for the expert survey (OpenDocument Text)

Additional File 8: questionnaire_peptide_classification.pdf - Questionnaire used for the expert survey (PDF)
DOI: 10.2908/earn_ses06_12
title: Durchschnittlicher Stundenverdienst nach Wirtschaftszweig, Tarifvertrag, Geschlecht (2006)
title: Mean hourly earnings by economic activity, collective pay agreement, sex (2006)
title: Salaire horaire moyen par activité économique, convention collective, sexe (2006)
DOI: 10.2908/earn_ses06_13
title: Durchschnittlicher Stundenverdienst nach Wirtschaftszweig, Geschlecht, Alter (2006)
title: Salaire horaire moyen par activité économique, sexe, âge (2006)
title: Mean hourly earnings by economic activity, sex, age (2006)
DOI: 10.2908/earn_ses06_15
title: Mean hourly earnings by economic activity, sex, employment contract (2006)
title: Salaire horaire moyen par activité économique, sexe, contrat de travail (2006)
title: Durchschnittlicher Stundenverdienst nach Wirtschaftszweig, Geschlecht, Arbeitsvertrag (2006)
DOI: 10.2908/earn_ses06_16
title: Durchschnittlicher Stundenverdienst nach Wirtschaftszweig, Geschlecht, Bildungsabschluss (2006)
title: Mean hourly earnings by economic activity, sex, educational attainment level (2006)
title: Salaire horaire moyen par activité économique, sexe, niveau d'éducation atteint (2006)
DOI: 10.2908/earn_ses_agt12
title: Durchschnittlicher Stundenverdienst nach Wirtschaftszweig, Tarifvertrag, Geschlecht (2002)
title: Mean hourly earnings by economic activity, collective pay agreement, sex (2002)
title: Salaire horaire moyen par activité économique, sexe, convention collective (2002)
DOI: 10.2908/earn_ses_agt13
title: Salaire horaire moyen par activité économique, sexe, âge (2002)
title: Durchschnittlicher Stundenverdienst nach Wirtschaftszweig, Geschlecht, Alter (2002)
title: Mean hourly earnings by economic activity, sex, age (2002)
DOI: 10.2908/earn_ses_agt15
title: Salaire horaire moyen par activité économique, sexe, contrat de travail (2002)
title: Mean hourly earnings by economic activity, sex, employment contract (2002)
title: Durchschnittlicher Stundenverdienst nach Wirtschaftszweig, Geschlecht, Arbeitsvertrag (2002)
DOI: 10.2908/earn_ses_agt16
title: Mean hourly earnings by economic activity, sex, educational attainment level (2002)
title: Salaire horaire moyen par activité économique, sexe, niveau d'éducation atteint (2002)
title: Durchschnittlicher Stundenverdienst nach Wirtschaftszweig, Geschlecht, Bildungsabschluss (2002)
DOI: 10.15468/dl.g4nh9z
title: Occurrence Download

description: A dataset containing 2692 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Rhinella diptycha)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 2692 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024960-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5adw3
title: Occurrence Download

description: A dataset containing 31823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pycnonotus finlaysoni)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 31823 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024961-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3dz7c
title: Occurrence Download

description: A dataset containing 3621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is PRI",
 "OccurrenceStatus is Present",
 "TaxonKey is Agelaius xanthomus"
 ]
}

 The dataset includes 3621 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024962-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c85thx
title: Occurrence Download

description: A dataset containing 268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is PRI",
 "TaxonKey is Rattus rattus"
 ]
}

 The dataset includes 268 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024963-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5qghkd
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is PRI",
 "TaxonKey is Amazona vittata"
 ]
}

 The dataset includes 104 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024964-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4x7ppc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Rhinella diptycha)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024965-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sr5dw6
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 one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Rhinella diptycha)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024966-250802193616735/datasets/export for details.
DOI: 10.17866/rd.salford.2084281.v1
title: A comparison of trunk and upper limb angle changes with amputation level in amputee gait

description: Data consisting of:Time-series data of trunk rotations in 3 planes and shoulder abduction, flexion and elbow flexion. This is for the mean of both legs in the control and BTF groups, but is separated into prosthetic/intact side for the unilateral groups.Mean angles and range of motion over the gait cycle for each of these angles. These are presented as the mean of both limbs for all groups.
DOI: 10.15468/dl.9j299b
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnatherum caragana",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 54 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024967-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25505/fiz.icsd.cc2p6h1g
title: CSD 2478885: Experimental Crystal Structure Determination

description: Related Article: Mark Baranov|2025|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.r3vkr9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Python reticulatus",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024968-250802193616735/datasets/export for details.
DOI: 10.5281/zenodo.16760032
title: Dataset for paper "NepAES: Exploring the promise of automated essay scoring for Nepali essays"
DOI: 10.5281/zenodo.16760033
title: Dataset for paper "NepAES: Exploring the promise of automated essay scoring for Nepali essays"
DOI: 10.34740/kaggle/dsv/12700226
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5522/04/29205701
title: The Strong-Field Control of IBr Photodissociation Re-visited

description: Data supporting the calculations in the paper. These include the input, output and operator files for the Quantics program to run wavepacket simulations of the control of IBr using the Non-resonant Dynamics Stark Effect. These files, which are mostly standard ascii, with binary data files, can be used together with Quantics to generate the data in the paper Sanz Sanz and Worth (Phys. Chem. Chem. Phys. (2025, 27, 16428 - 16434 )). The data files for the potential surfaces, which can be used to generate the surfaces using spline-fits in Quantics, are also present. Quantics is a mostly Fortran code for running quantum dynamics simulations. It is open source and runs on linux workstations. It is freely available on request to the authors of the paper. For further details of the Quantics Package see Comp. Phys. Comm., 248:107040–15, 2020.<br><br>
DOI: 10.5522/04/29205701.v1
title: The Strong-Field Control of IBr Photodissociation Re-visited

description: Data supporting the calculations in the paper. These include the input, output and operator files for the Quantics program to run wavepacket simulations of the control of IBr using the Non-resonant Dynamics Stark Effect. These files, which are mostly standard ascii, with binary data files, can be used together with Quantics to generate the data in the paper Sanz Sanz and Worth (Phys. Chem. Chem. Phys. (2025, 27, 16428 - 16434 )). The data files for the potential surfaces, which can be used to generate the surfaces using spline-fits in Quantics, are also present. Quantics is a mostly Fortran code for running quantum dynamics simulations. It is open source and runs on linux workstations. It is freely available on request to the authors of the paper. For further details of the Quantics Package see Comp. Phys. Comm., 248:107040–15, 2020.<br><br>
DOI: 10.15468/dl.ukwfux
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Python reticulatus",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024969-250802193616735/datasets/export for details.
DOI: 10.15468/dl.fx8fsz
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Python reticulatus",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024970-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.99veb4
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pycnonotus davisoni)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 192 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024972-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pdcfem
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 one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Rhinella diptycha)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024971-250802193616735/datasets/export for details.
DOI: 10.12686/sed/products/pmm-eu
title: Earthquake-induced landslide likelihoods based on European ShakeMap ground-shaking estimates
DOI: 10.5281/zenodo.16760017
title: CNN-BiLSTM-SATA Model Training Data for Estimating Forest Aboveground Biomass

description: The Data for CNN-BiLSTM-SATA Model

The CNN-BiLSTM-SATA model is developed for estimating forest aboveground biomass from multi-source remote sensing time-series data
DOI: 10.5281/zenodo.16760018
title: CNN-BiLSTM-SATA Model Training Data for Estimating Forest Aboveground Biomass

description: The Data for CNN-BiLSTM-SATA Model

The CNN-BiLSTM-SATA model is developed for estimating forest aboveground biomass from multi-source remote sensing time-series data
DOI: 10.48338/vu01-987f22
title: Project B-KIJK / VIPP-School Archive 2019-2025

description: Here you can find all publications, including the necessary data for these publications, related to the B-KIJK/VIPP-School project conducted between 2019 and 2025.
The folders areorganized by publication. Each publication has a main folder with data 'available upon request' and a 'closed' folder. Each publication folder can contain three subfolders: administration, raw data, and processed data.

File names, file formats, directory structure, including where in the research process each data file lies (e.g. administration data, raw data and processed data) can be found in the Excel file README_Overview_Data_BKIJK 

Due to confidential and legal regulations only pseudonymized data will be shared upon request. Requests can be made to the Department of Clinical Child and Family studies- Vrije Universiteit Amsterdam. Only data folders marked with “(open/available upon request)” are available for sharing. Data folders marked “(private/closed)” are not available for sharing. The data will be shared after approval of the request for data sharing and establishing a Data Sharing Agreement.
DOI: 10.34882/dezim.dibu.remote.1.0.0
title: Diversität in der Bundesverwaltung
DOI: 10.34882/dezim.dibu.onsite.1.0.0
title: Diversität in der Bundesverwaltung
DOI: 10.5281/zenodo.16760086
title: Zkouška

description: Zkouška
DOI: 10.5281/zenodo.16760087
title: Zkouška

description: Zkouška
DOI: 10.5281/zenodo.16327922
title: Automatic Positioning and Contour Analysis of Complete Bone Models - data and code

description: 3D models (.wrl/.vrml) of modern mountain gazelle (Gazella gazella) astragali and calcanea.

PYTHON script for computing automatic alignment (Part 1- align_items) and contours (Part 1-Contours). 

This work accompanies the manuscript: Lebenzon, R., Dick, N., Munro, N.D., Grosman, L., under review. New Tools for Computational Zooarchaeology: Automatic Positioning and Contour Analysis of Complete Bone Models. Journal of Archaeological Science.

ABSTRACT: 

As staple tools in zooarchaeological research, morphometric analyses have contributed substantially to foundational research themes such as taxonomy, paleoenvironmental reconstruction and animal domestication. Thus, as the field of archaeology transforms with the rapid advancement of computational techniques, new methods that analyze the complete 3D model, herein called Complete Model Analysis (CMA), hold great promise for zooarchaeology. By extracting and analyzing the complete 3D mesh in a fully automated manner, CMA offers an accurate, repeatable and nuanced approach to bone shape analysis. However, until now, CMA has not been integrated into zooarchaeology due to the complexity and irregularity of some bone shapes which are incompatible with the existing automatic positioning methods that provide the essential first step in CMA analysis. Here, we address this challenge by introducing a three-step procedure that can automatically position any 3D mesh. This breakthrough enables the application of all existing CMA analytical protocols to faunal material. Additionally, we present a global contour tool that automatically generates geometric profiles to calculate assemblage variance. We demonstrate the applicability and utility of these two tools by exploring sex-related variability in a collection of modern mountain gazelle (Gazella gazella) skeletons. Ultimately, this paper opens the door to the development of new CMA analyses in zooarchaeology, including by machine learning.