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

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corythucha ciliata (Say, 1832)",
 "Country is China",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 62 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001057-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5kwqav
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arnaldoa weberbaueri (Muschl.) Ferreyra"
 ]
}

 The dataset includes 48 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001056-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vdm8k4
title: Occurrence Download

description: A dataset containing 899780 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lotus corniculatus L."
 ]
}

 The dataset includes 899780 records from 3850 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000971-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26030/yrwn-dh52
title: Transcription profiling of human peripheral blood to development gene expression signatures for practical radiation biodosimetry

description: To further develop our gene expression approach to biodosimetry, we have employed whole genome microarray expression profiling as a discovery platform to identify genes with the potential to distinguish radiation dose across an exposure range relevant for medical decision-making in a radiological emergency. Human peripheral blood from healthy donors was irradiated ex vivo, and a 74-gene consensus signature was identified that distinguished between four radiation doses (0.5, 2, 5 and 8 Gy) and control samples. The same set of genes separated samples by exposure level at both six and 24 hours after treatment, with overlap evident only at the highest two doses (5 and 8 Gy). Expression of five genes (CDKN1A, FDXR, SESN1, BBC3 and PHPT1) from this signature was quantified in the same RNA samples by real-time PCR, confirming low variability between donors as well as the predicted radiation response pattern. Experiment Overall Design: Radiation induced gene expression in human blood was measured at 6 and 24 hours after exposure to doses of 0, 0.5, 2, 5 and 8 Gy g-rays. Five independent experiments were performed at each time (6 or 24 hours) using different donors for each experiment
DOI: 10.15468/dl.bqrjh8
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rusa timorensis (Blainville, 1822)",
 "Country is New Caledonia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 26 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008766-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dhjcja
title: Occurrence Download

description: A dataset containing 951 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-161.10408 3.95837,-40.89592 3.95837,-40.89592 52.04163,-161.10408 52.04163,-161.10408 3.95837))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coulteria platyloba (S.Watson) N.Zamora"
 ]
}

 The dataset includes 951 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008764-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5bpgy
title: Occurrence Download

description: A dataset containing 19442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nyctibiiformes",
 "Year 2018-2024"
 ]
}

 The dataset includes 19442 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008767-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14084161
title: DETERMINATION OF ACTIVATION ENERGY AND RELAXATION TIME FOR Mg-2Gd
DOI: 10.5281/zenodo.14084162
title: DETERMINATION OF ACTIVATION ENERGY AND RELAXATION TIME FOR Mg-2Gd
DOI: 10.34740/kaggle/dsv/9877928
title: BBC News
DOI: 10.15468/dl.gybtcn
title: Occurrence Download

description: A dataset containing 495823 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cervus elaphus Linnaeus, 1758"
 ]
}

 The dataset includes 495823 records from 1300 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008656-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c65rcq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dendrocopos major (Linnaeus, 1758)",
 "Year is 77",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008770-241107131044228/datasets/export for details.
DOI: 10.15468/dl.pybs4p
title: Occurrence Download

description: A dataset containing 700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hemitriccus kaempferi (Zimmer, 1953))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 700 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008771-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m77u9h
title: Occurrence Download

description: A dataset containing 256 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-74.04884 4.67748,-74.04913 4.67681,-74.04774 4.67603,-74.04744 4.67672,-74.04884 4.67748))"
 ]
}

 The dataset includes 256 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008772-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ruchfg
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-126.21320 15.51472,-83.78680 15.51472,-83.78680 32.48528,-126.21320 32.48528,-126.21320 15.51472))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mimosa palmeri Rose"
 ]
}

 The dataset includes 122 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008775-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n26gxn
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-127.55204 7.47918,-67.44796 7.47918,-67.44796 31.52082,-127.55204 31.52082,-127.55204 7.47918))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Erythroxylum mexicanum Kunth"
 ]
}

 The dataset includes 305 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008776-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yz6njw
title: Occurrence Download

description: A dataset containing 829 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mongolia",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 829 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008780-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fj9dy7
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Hymenophyllum decurrens (Jacq.) Sw."
 ]
}

 The dataset includes 206 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008782-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11092392
title: Public data on WIT's 18 years impact survey

description: Dataset (answers and codebooks) related to research on the impact that wrote the history of WIT during 18 years. The artifacts were used for the quantitative and qualitative analyses.
DOI: 10.5281/zenodo.11092393
title: Public data on WIT's 18 years impact survey

description: Dataset (answers and codebooks) related to research on the impact that wrote the history of WIT during 18 years. The artifacts were used for the quantitative and qualitative analyses.
DOI: 10.5281/zenodo.14084540
title: Peruvian Intimate Partner Violence Database (PIPVDB)

description: The Peruvian Intimate Partner Violence Database (PIPVDB) is a comprehensive repository of data related to intimate partner violence (IPV) in Peru. The database is based on the 2023 Peru Demographic and Health Survey (DHS), which collected data on various health outcomes, including experiences of domestic violence, from 38,352 women aged 15-49 across 35,678 households in Peru.

The PIPVDB contains information on the prevalence of IPV, including emotional, physical, and sexual violence, as well as the co-occurrence of these forms of violence. The database also includes data on the characteristics of women who experienced IPV, such as age, education, marital status, and employment status.
DOI: 10.5281/zenodo.14084541
title: Peruvian Intimate Partner Violence Database (PIPVDB)

description: The Peruvian Intimate Partner Violence Database (PIPVDB) is a comprehensive repository of data related to intimate partner violence (IPV) in Peru. The database is based on the 2023 Peru Demographic and Health Survey (DHS), which collected data on various health outcomes, including experiences of domestic violence, from 38,352 women aged 15-49 across 35,678 households in Peru.

The PIPVDB contains information on the prevalence of IPV, including emotional, physical, and sexual violence, as well as the co-occurrence of these forms of violence. The database also includes data on the characteristics of women who experienced IPV, such as age, education, marital status, and employment status.
DOI: 10.17613/zc9vs-15k55
title: Collation of Jude from the ECM (with lectionaries)

description: This is a collation of Jude based on the ECM's apparatus and supplementary materials in XML format (TEI-complaint) for use with the open-cbgm (https://github.com/jjmccollum/open-cbgm). I reconstructed this data from the ECM's apparatus, so there may be lingering errors. **User beware** This particular collation includes lectionaries.

I am open to any corrections or suggestions that anyone might have.
description: This is a collation of Jude based on the ECM's apparatus and supplementary materials in XML format (TEI-complaint) for use with the open-cbgm (https://github.com/jjmccollum/open-cbgm). I reconstructed this data from the ECM's apparatus, so there may be lingering errors. **User beware** This particular collation includes lectionaries. I am open to any corrections or suggestions that anyone might have.
DOI: 10.6084/m9.figshare.27635736
title: Limits on Dark Matter Compact Objects implied by Supermagnified Stars in Lensing Clusters CODE [MNRAS Submission]

description: Updated version of the code and the lens models used for the numerical results of the article 'Limits on Dark Matter Compact Objects implied by Supermagnified Stars in Lensing Clusters' (Claudi Vall Müller & Jordi Miralda-Escudé, 2024).<i>Figures</i> and <i>Numerical results</i><i> </i>contain the outputs for the article. All outputs can be reproduced using the following Python Notebooks.<i>Figure 1 Separations plot.ipynb</i> generates Figure 1 of the paper.<i>Figure 2 Likelihood function.ipynb</i> generates Figure 2 of the paper.<i>Table 1 Lensing parameters.ipynb</i> computes the lensing parameters from the lens models (needs the heavy size file) to generate Table 1 (results are already available in 'Numerical Results')Each Python code works independently of the others.To reproduce the results, download the full <i>Limit on DM Compact Objects CODE</i><i>.zip</i> file. Its heavy size is due to the needed <i>Lens Models</i><i> </i>for the code.Claudi Vall Müller (claudivallmuller@gmail.com)11/11/2024
DOI: 10.6084/m9.figshare.27635736.v1
title: Limits on Dark Matter Compact Objects implied by Supermagnified Stars in Lensing Clusters CODE [MNRAS Submission]

description: Updated version of the code and the lens models used for the numerical results of the article 'Limits on Dark Matter Compact Objects implied by Supermagnified Stars in Lensing Clusters' (Claudi Vall Müller & Jordi Miralda-Escudé, 2024).<i>Figures</i> and <i>Numerical results</i><i> </i>contain the outputs for the article. All outputs can be reproduced using the following Python Notebooks.<i>Figure 1 Separations plot.ipynb</i> generates Figure 1 of the paper.<i>Figure 2 Likelihood function.ipynb</i> generates Figure 2 of the paper.<i>Table 1 Lensing parameters.ipynb</i> computes the lensing parameters from the lens models (needs the heavy size file) to generate Table 1 (results are already available in 'Numerical Results')Each Python code works independently of the others.To reproduce the results, download the full <i>Limit on DM Compact Objects CODE</i><i>.zip</i> file. Its heavy size is due to the needed <i>Lens Models</i><i> </i>for the code.Claudi Vall Müller (claudivallmuller@gmail.com)11/11/2024
DOI: 10.6084/m9.figshare.27665673
title: ACÓRDÃOS ANALISADOS PARA O ARTIGO "<b>Trancamento do inquérito policial por excesso de prazo: uma análise da jurisprudência do TJSP</b>".docx

description: Documento com lista dos V. Acórdãos do TJSP analisados para a elaboração da pesquisa que subsidiou o artigo intitulado <b>Trancamento do inquérito policial por excesso de prazo: uma análise da jurisprudência do TJSP</b>.
DOI: 10.6084/m9.figshare.27665673.v1
title: ACÓRDÃOS ANALISADOS PARA O ARTIGO "<b>Trancamento do inquérito policial por excesso de prazo: uma análise da jurisprudência do TJSP</b>".docx

description: Documento com lista dos V. Acórdãos do TJSP analisados para a elaboração da pesquisa que subsidiou o artigo intitulado <b>Trancamento do inquérito policial por excesso de prazo: uma análise da jurisprudência do TJSP</b>.
DOI: 10.7801/460
title: Legitimation Amid Dependence (1960-2010): A Dataset on the Determinants of Authoritarian Legitimation Strategies

description: This dataset and the associated data wrangling and analysis code scripts form a core component of a research project focused on uncovering the relationship between external dependence and strategic shifts in authoritarian legitimation strategies. By successfully integrating two novel datasets —the Foreign Bilateral Influence Capacity Index and V-Dem's Regime Legitimation Expert Survey (RLES) Indicators— the project considerably broadens the scope for large-N studies previously unattainable. Through the analysis of panel data on legitimation strategies in authoritarian regimes from 1960 to 2010, I provide empirical support for the proposed theory that increasing external dependence prompts leaders to transition from ideological to pragmatic legitimation strategies, while accounting for other factors potentially influencing strategic adaptation. The ‘Legitimation Amid Dependence Dataset’ thus makes a significant empirical contribution that can be diversely implemented for other research projects in the realm of authoritarian governance.
DOI: 10.15468/dl.h8tqvw
title: Occurrence Download

description: A dataset containing 330584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Material sample, Specimen, Material citation, Living Specimen, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is Calliphoridae"
 ]
}

 The dataset includes 330584 records from 842 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008724-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0744434.10fu
title: SH0744434.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0744435.10fu
title: SH0744435.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0744436.10fu
title: SH0744436.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0744437.10fu
title: SH0744437.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0744438.10fu
title: SH0744438.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.