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

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-180 22.5,-172.5 22.5,-172.5 30,-180 30,-180 22.5))"
 ]
}

 The dataset includes 75 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041729-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/5ag2r3
title: Données naturalistes opportunistes issues de la plateforme INaturalist-Données naturalistes opportunistes "syvanedottir"

description: Données naturalistes opportunistes saisies sur iNaturalist à partir du compte "syvanedottir"
DOI: 10.15468/dl.9v6t3u
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-150 -15,-142.5 -15,-142.5 -7.5,-150 -7.5,-150 -15))"
 ]
}

 The dataset includes 48 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041728-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.13478.86081
title: PROSTHODONTICS | Complete Denture | Anatomical Landmarks Maxillary & Mandibular Presentation Read 50
DOI: 10.57782/95ckkg
title: Files from: A new species of Brachycephalus (Anura: Brachycephalidae) from Serra do Quiriri, northeastern Santa Catarina state, southern Brazil, with a review of the diagnosis among species of the B. pernix group and conservation measures

description: Files from "A new species of Brachycephalus (Anura: Brachycephalidae) from Serra do Quiriri, northeastern Santa Catarina state, southern Brazil, with a review of the diagnosis among species of the B. pernix group and conservation measures"
DOI: 10.13140/rg.2.2.27136.56321
title: LEAF-Q - Versão traduzida e validada para o português do Brasil
DOI: 10.15468/dl.ceh2hx
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Occurrence evidence, Human Observation)",
 "TaxonKey is Trissolcus japonicus (Ashmead, 1904)"
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015362-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18434/mds2-3794
title: 5gdeploy: 5G Core Deployment Helper
DOI: 10.15468/dl.ka759b
title: Occurrence Download

description: A dataset containing 1573 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Laodelphax striatellus (Fallén, 1826)"
 ]
}

 The dataset includes 1573 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015365-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dz3cy4
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "DatasetKey is one of (Wikiplantbase #Toscana, Swiss National Databank of Vascular Plants, Herbarium Horti Botanici Pisani (PI), Sistema Museale di Ateneo, Università di Pisa, Wikiplantbase #Italia, Wikiplantbase #Emilia-Romagna, National Herbarium of Victoria (MEL) AVH data, iNaturalist Research-grade Observations)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hippophae rhamnoides L."
 ]
}

 The dataset includes 175 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015366-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.byt8qe
title: Occurrence Download

description: A dataset containing 29240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Medicago sativa subsp. sativa)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 29240 records from 447 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015364-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14160521
title: Dataset - SciVisContest - Materials Discovery Challenge

description: This dataset is made available for the SciVisContest Materials Discovery Challenge.

The data provided for this challenge was generated for the specific use case of developing a new Al-based alloy suitable for additive manufacturing by blending different available aluminum metal scrap such as automotive Al-Si piston alloys and other alloys from different sectors. Different alloy designs were initially generated based on mixing ratios between available scrap alloys. The CALPHAD method was used to perform equilibrium and non-equilibrium calculations to predict relevant thermo-physical and mechanical variables such as the content of volatile elements like Mg and Zn, phase formation and their fractions, solidification intervals, thermo-physical parameters, yield strength and hot crack sensitivity for each alloy composition.
DOI: 10.5281/zenodo.14182255
title: Dataset - SciVisContest - Materials Discovery Challenge

description: This dataset is made available for the SciVisContest Materials Discovery Challenge.

The data provided for this challenge was generated for the specific use case of developing a new Al-based alloy suitable for additive manufacturing by blending different available aluminum metal scrap such as automotive Al-Si piston alloys and other alloys from different sectors. Different alloy designs were initially generated based on mixing ratios between available scrap alloys. The CALPHAD method was used to perform equilibrium and non-equilibrium calculations to predict relevant thermo-physical and mechanical variables such as the content of volatile elements like Mg and Zn, phase formation and their fractions, solidification intervals, thermo-physical parameters, yield strength and hot crack sensitivity for each alloy composition.
DOI: 10.5281/zenodo.14160520
title: Dataset - SciVisContest - Materials Discovery Challenge - version 2025

description: This the updated version of the dataset that is made available for the SciVisContest Materials Discovery Challenge.

The data provided for this challenge was generated for the specific use case of developing a new Al-based alloy suitable for additive manufacturing by blending different available aluminum metal scrap such as automotive Al-Si piston alloys and other alloys from different sectors. Different alloy designs were initially generated based on mixing ratios between available scrap alloys. The CALPHAD method was used to perform equilibrium and non-equilibrium calculations to predict relevant thermo-physical and mechanical variables such as the content of volatile elements like Mg and Zn, phase formation and their fractions, solidification intervals, thermo-physical parameters, yield strength and hot crack sensitivity for each alloy composition.
DOI: 10.5281/zenodo.15189444
title: Dataset - SciVisContest - Materials Discovery Challenge - version 2025

description: This the updated version of the dataset that is made available for the SciVisContest Materials Discovery Challenge.

The data provided for this challenge was generated for the specific use case of developing a new Al-based alloy suitable for additive manufacturing by blending different available aluminum metal scrap such as automotive Al-Si piston alloys and other alloys from different sectors. Different alloy designs were initially generated based on mixing ratios between available scrap alloys. The CALPHAD method was used to perform equilibrium and non-equilibrium calculations to predict relevant thermo-physical and mechanical variables such as the content of volatile elements like Mg and Zn, phase formation and their fractions, solidification intervals, thermo-physical parameters, yield strength and hot crack sensitivity for each alloy composition.
DOI: 10.15468/cesssx
title: SHARK - Regional marine environmental monitoring, recipient control and monitoring projects of Zoobenthos in Sweden since 1972

description: The monitoring is financed by the Swedish county administration boards, Swedish municipalities, Swedish coalitions of water conservation and Swedish companies. Recipient control data financed by companies are also included.Monitoring is performed by Swedish universities, agencies and consulting firms.Data are stored in the Swedish Ocean Archive database (SHARK), by the Swedish Meteorological and Hydrological Institute.The purpose of the monitoring program is to detect long term and short term changes in the soft bottom macrozoobenthos (&gt;1mm) communities. Changes in the macrofauna community can indicate changes in environmental threats like eutrophication, environmental toxins and climate change.Data should be sampled and analyzed according to Leonardsson K. 2004. (In Swedish) Metodbeskrivning för provtagning och analys av mjukbottenlevande makroevertebrater i marin miljö. Umeå universitet, Institutionen för ekologi och geovetenskap, 26 p (https://www.havochvatten.se/download/18.1690613b166605675de898f4/1539942622449/rapport-umu-metodbeskrivning-provtagning-analys-mjukbottenlevande-makroevertebrater-i-marin-miljo.pdf). However, deviations from the manual might occur. Information about the program and the methods are available in Swedish at the website of Swedish Agency for Marine and Water Management, https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/mjukbottenlevande-makrofauna-trend--och-omradesovervakning.html and https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/sediment---basundersokning.html.
DOI: 10.15468/dl.c8exxx
title: Occurrence Download

description: A dataset containing 1522 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus pinaster Aiton",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1522 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015367-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/30894
title: Chandra X-ray Observatory ObsId 30894

description: A TREASURY SURVEY PROBING THE BARYON & ENERGY CYCLE AND X-RAY BINARY EVOLUTION IN GALAXIES AT HIGH ANGULAR RESOLUTION
DOI: 10.15468/dl.u7v44r
title: Occurrence Download

description: A dataset containing 390 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acerodon jubatus (Eschscholtz, 1831)"
 ]
}

 The dataset includes 390 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015368-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fu8cr
title: Occurrence Download

description: A dataset listing the 5 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ficopomatus enigmaticus (Fauvel, 1923)"
 ]
}

 The dataset's 5 records were derived from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015361-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27x5s5
title: Occurrence Download

description: A dataset containing 76806 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-100.0",
 "Geometry POLYGON((4.68 43.28,16.7 43.28,16.7 48.52,4.68 48.52,4.68 43.28))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Buddleja davidii Franch.",
 "Year 1970-2025"
 ]
}

 The dataset includes 76806 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015358-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fpj4t4
title: Occurrence Download

description: A dataset containing 943 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melaleuca parvistaminea Byrnes)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 943 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015371-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25403/upresearchdata.28738832
title: Complexity modelling of a higher education institution (HEI) : a case of a complex service social system

description: The research focused on modelling the complexity of a complex social service system based on a novel heuristic derived from the system elements part count approach and the application of the Hybrid Structural Interaction Matrix (HSIM) methodology. A generic institution was modeled to create the heuristic and then applied to several case institutions. The dataset contains the identified elements for the generic institution, the matrices created through the application of the HSIM method, and the data used to calculate the complexity scores for each case.
DOI: 10.25403/upresearchdata.28738832.v1
title: Complexity modelling of a higher education institution (HEI) : a case of a complex service social system

description: The research focused on modelling the complexity of a complex social service system based on a novel heuristic derived from the system elements part count approach and the application of the Hybrid Structural Interaction Matrix (HSIM) methodology. A generic institution was modeled to create the heuristic and then applied to several case institutions. The dataset contains the identified elements for the generic institution, the matrices created through the application of the HSIM method, and the data used to calculate the complexity scores for each case.
DOI: 10.5281/zenodo.14724321
title: From Toxicogenomics Data to Cumulative Assessment Groups: A Mechanistic Framework for Chemical Grouping

description: Supplementary Material

This dataset provides supplementary material for the manuscript "From Toxicogenomics Data to Cumulative Assessment Groups: A Mechanistic Framework for Chemical Grouping".

The paper is available at BioRxiv with the DOI:

 

Contents:

1. SQLite Database 

Filename: 2023_03_20_ctd_pubchem_sqlite.db

The SQLite database integrates manually curated and modified data from the Comparative Toxicogenomics Database (CTD, https://ctdbase.org/) (Davis et al. 2024; https://doi.org/10.1093/nar/gkae883) and PubChem (https://pubchem.ncbi.nlm.nih.gov/). This database serves as the foundation for constructing CGPD Tetramers and facilitates chemical grouping across diverse regulatory contexts.

The database was uploaded for reproducibility purposes to ensure the reproducibility of the analyses presented in the study.The Snapshot data of the datasets was March 20th, 2023.

 

Table summarizing the structure of the SQLite database. The data in the tables starting with ’CID’ was collected from PubChem and originated from different source files. Tables starting with ’CTD’ originated from CTD. The snapshot date of the data set is March 20th, 2023.




Table Name
# Columns
# Entries


CID_chemicalproperties
6
12041


CID_IDs
6
16332


CTD_anatomy
9
1844


CTD_chem_gene_ixns
12
2487743


CTD_chem_gene_ixn_types
4
53


CTD_chem_go_enriched
13
6237303


CTD_chemicals
8
175847


CTD_chemicals_diseases
10
8276711


CTD_chem_pathways_enriched
11
1483203


CTD_diseases
9
13270


CTD_diseases_pathways
5
609539


CTD_exposure_events
43
204735


CTD_exposure_studies
10
3304


CTD_genes
8
589897


CTD_genes_diseases
9
100715108


CTD_genes_pathways
4
135783


CTD_pathways
2
2567


CTD_pheno_term_ixns
13
340861


NCBI_GO
3
105515336




 

2. Supplementary Figures and Tables

Filename: Canzler_et_al_Grouping_Supplementary_Material.pdf

The PDF file contains detailed tables and graphical representations of the results and methods used in the study.

3.  Disease Tissue associations

Filename: Disease_Tissuegroups.tsv

The TSV file provides a mapping of disease terms to corresponding tissue groups where this disease is manifested.For example:



D011660    Pulmonary Heart Disease    Cardiovascular system


Diseases may be linked to one or multiple tissue groups; otherwise, they default to all tissue groups.
DOI: 10.5281/zenodo.14724322
title: From Toxicogenomics Data to Cumulative Assessment Groups: A Mechanistic Framework for Chemical Grouping

description: Supplementary Material

This dataset provides supplementary material for the manuscript "From Toxicogenomics Data to Cumulative Assessment Groups: A Mechanistic Framework for Chemical Grouping".

The paper is available at BioRxiv with the DOI:

 

Contents:

1. SQLite Database 

Filename: 2023_03_20_ctd_pubchem_sqlite.db

The SQLite database integrates manually curated and modified data from the Comparative Toxicogenomics Database (CTD, https://ctdbase.org/) (Davis et al. 2024; https://doi.org/10.1093/nar/gkae883) and PubChem (https://pubchem.ncbi.nlm.nih.gov/). This database serves as the foundation for constructing CGPD Tetramers and facilitates chemical grouping across diverse regulatory contexts.

The database was uploaded for reproducibility purposes to ensure the reproducibility of the analyses presented in the study.The Snapshot data of the datasets was March 20th, 2023.

 

Table summarizing the structure of the SQLite database. The data in the tables starting with ’CID’ was collected from PubChem and originated from different source files. Tables starting with ’CTD’ originated from CTD. The snapshot date of the data set is March 20th, 2023.




Table Name
# Columns
# Entries


CID_chemicalproperties
6
12041


CID_IDs
6
16332


CTD_anatomy
9
1844


CTD_chem_gene_ixns
12
2487743


CTD_chem_gene_ixn_types
4
53


CTD_chem_go_enriched
13
6237303


CTD_chemicals
8
175847


CTD_chemicals_diseases
10
8276711


CTD_chem_pathways_enriched
11
1483203


CTD_diseases
9
13270


CTD_diseases_pathways
5
609539


CTD_exposure_events
43
204735


CTD_exposure_studies
10
3304


CTD_genes
8
589897


CTD_genes_diseases
9
100715108


CTD_genes_pathways
4
135783


CTD_pathways
2
2567


CTD_pheno_term_ixns
13
340861




 

2. Supplementary Figures and Tables

Filename: Canzler_et_al_Grouping_Supplementary_Material.pdf

The PDF file contains detailed tables and graphical representations of the results and methods used in the study.

3.  Disease Tissue associations

Filename: Disease_Tissuegroups.tsv

The TSV file provides a mapping of disease terms to corresponding tissue groups where this disease is manifested.For example:



D011660    Pulmonary Heart Disease    Cardiovascular system


Diseases may be linked to one or multiple tissue groups; otherwise, they default to all tissue groups.
DOI: 10.5281/zenodo.15189236
title: From Toxicogenomics Data to Cumulative Assessment Groups: A Mechanistic Framework for Chemical Grouping

description: Supplementary Material

This dataset provides supplementary material for the manuscript "From Toxicogenomics Data to Cumulative Assessment Groups: A Mechanistic Framework for Chemical Grouping".

The paper is available at BioRxiv with the DOI:

 

Contents:

1. SQLite Database 

Filename: 2023_03_20_ctd_pubchem_sqlite.db

The SQLite database integrates manually curated and modified data from the Comparative Toxicogenomics Database (CTD, https://ctdbase.org/) (Davis et al. 2024; https://doi.org/10.1093/nar/gkae883) and PubChem (https://pubchem.ncbi.nlm.nih.gov/). This database serves as the foundation for constructing CGPD Tetramers and facilitates chemical grouping across diverse regulatory contexts.

The database was uploaded for reproducibility purposes to ensure the reproducibility of the analyses presented in the study.The Snapshot data of the datasets was March 20th, 2023.

 

Table summarizing the structure of the SQLite database. The data in the tables starting with ’CID’ was collected from PubChem and originated from different source files. Tables starting with ’CTD’ originated from CTD. The snapshot date of the data set is March 20th, 2023.




Table Name
# Columns
# Entries


CID_chemicalproperties
6
12041


CID_IDs
6
16332


CTD_anatomy
9
1844


CTD_chem_gene_ixns
12
2487743


CTD_chem_gene_ixn_types
4
53


CTD_chem_go_enriched
13
6237303


CTD_chemicals
8
175847


CTD_chemicals_diseases
10
8276711


CTD_chem_pathways_enriched
11
1483203


CTD_diseases
9
13270


CTD_diseases_pathways
5
609539


CTD_exposure_events
43
204735


CTD_exposure_studies
10
3304


CTD_genes
8
589897


CTD_genes_diseases
9
100715108


CTD_genes_pathways
4
135783


CTD_pathways
2
2567


CTD_pheno_term_ixns
13
340861


NCBI_GO
3
105515336




 

2. Supplementary Figures and Tables

Filename: Canzler_et_al_Grouping_Supplementary_Material.pdf

The PDF file contains detailed tables and graphical representations of the results and methods used in the study.

3.  Disease Tissue associations

Filename: Disease_Tissuegroups.tsv

The TSV file provides a mapping of disease terms to corresponding tissue groups where this disease is manifested.For example:



D011660    Pulmonary Heart Disease    Cardiovascular system


Diseases may be linked to one or multiple tissue groups; otherwise, they default to all tissue groups.
DOI: 10.15468/dl.ptfrtx
title: Occurrence Download

description: A dataset containing 36211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is one of (Madagascar, Congo, Democratic Republic of the, Tanzania, United Republic of, Côte d’Ivoire, Ghana, Nigeria, Liberia)",
 "TaxonKey is Annonaceae"
 ]
}

 The dataset includes 36211 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015373-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.