cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.q39fcq
title: Occurrence Download

description: A dataset listing the 959 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.93681 44.80863,5.02743 44.80863,5.02743 44.85356,4.93681 44.85356,4.93681 44.80863))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 2003-2025"
 ]
}

 The dataset's 959 records were derived from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039411-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6869d7
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Endophylloides",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039427-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60541/bc72-hn53
title: TRAP Laws - Abortion Facility Licensing Requirements

description: One way states regulate abortions is to impose legal requirements on health care facilities in which abortions are performed. These legal requirements, known as Targeted Regulation of Abortion Provider (TRAP) laws, apply specifically to abortion providers and mandate additional requirements not applied to other similarly situated health care practices. TRAP laws may address various aspects of facilities’ physical environment and operations (e.g., staffing, required practices, hospital transfer arrangements). This website contains datasets for three different types of TRAP laws:

Abortion Facility Licensing (AFL) Requirements: The AFL dataset is limited to laws requiring facilities in which abortions are performed to be regulated under a distinct abortion facility licensing provision and/or meet special requirements regulating abortion providers.
Ambulatory Surgical Center (ASC) Requirements: The ASC dataset is limited to laws requiring facilities in which abortions are performed to be licensed ASCs and meet regulations governing ASCs.
Hospitalization Requirements (HR): The HR dataset is limited to laws requiring facilities in which abortions are performed to be licensed hospitals.
This dataset identifies variation in states that have AFL requirements in effect from August 1, 2016 through November 1, 2022. This dataset complements Office-Based Surgery (OBS) Laws, which impose facility and/or operational requirements on non-hospital facilities that provide office-based surgery, procedures and/or anesthesia/sedation.

These datasets were created by a team from the Center for Public Health Law Research working with subject matter experts, Bonnie Scott Jones, JD, and Sara Daniel, MPH, of Advancing New Standards in Reproductive Health Care (ANSIRH), who conceptualized and designed the study.

**Note: CPHLR is working collaboratively with Advancing New Standards in Reproductive Health (ANSIRH) on the NICHD-funded Legal Epidemiology of Abortion Policies (LEAP) Study to build longitudinal abortion policy data covering changes from 2005 through 2022. These data will be publicly released on LawAtlas.org upon completion of the project period anticipated in 2027. To learn more about the LEAP Study, please visit the study webpage.
DOI: 10.5281/zenodo.10972004
title: Shoulder kinematics derived from radiographic and optical motion analysis

description: This dataset contains torso/arm, scapula, and humerus kinematics from subjects performing a variety of static poses and dynamic activities. The humerus and scapula were imaged at 100 Hz using a biplane fluoroscopy/dynamic stereoradiography system. Then, 3D models of the humerus and scapula were constructed from each subject’s CT scan. Model-based markerless tracking ascertained the 3D position and orientation of each bone model by semi-automatically aligning digitally reconstructed radiographs against each frame of the radiographic recordings. The kinematics of the torso and arm were measured using skin marker motion capture and co-calibrated spatially and temporally to the radiography system.

This repository contains an expanded release of data found in doi:10.5281/zenodo.7542486 and doi:10.5281/zenodo.10972005. The rationale to provide a new repository is that this release, and forthcoming releases, will follow a new format that provides more granular data for past and ongoing studies from our laboratory. These studies may include motion analysis data from healthy controls, pathologic subjects, and those after surgical intervention.

v1.1 now contains transforms from Vicon to biplane fluoro coordinate systems.

v1.2 fixes bugs identified by the user base in labeling of humeral landmarks and rectifying time synchronization.
DOI: 10.5281/zenodo.17632996
title: Shoulder kinematics derived from radiographic and optical motion analysis

description: This dataset contains torso/arm, scapula, and humerus kinematics from subjects performing a variety of static poses and dynamic activities. The humerus and scapula were imaged at 100 Hz using a biplane fluoroscopy/dynamic stereoradiography system. Then, 3D models of the humerus and scapula were constructed from each subject’s CT scan. Model-based markerless tracking ascertained the 3D position and orientation of each bone model by semi-automatically aligning digitally reconstructed radiographs against each frame of the radiographic recordings. The kinematics of the torso and arm were measured using skin marker motion capture and co-calibrated spatially and temporally to the radiography system.

This repository contains an expanded release of data found in doi:10.5281/zenodo.7542486 and doi:10.5281/zenodo.10972005. The rationale to provide a new repository is that this release, and forthcoming releases, will follow a new format that provides more granular data for past and ongoing studies from our laboratory. These studies may include motion analysis data from healthy controls, pathologic subjects, and those after surgical intervention.

v1.1 now contains transforms from Vicon to biplane fluoro coordinate systems.

v1.2 fixes bugs identified by the user base in labeling of humeral landmarks and rectifying time synchronization.
DOI: 10.5281/zenodo.17632722
title: A rapid method to simultaneously separate bacterial and eukaryotic RNA during infections reveals increased intracellular expression of Staphylococcus aureus and Shigella flexneri virulence factors

description: RNA-seq data of S.aureus, in isolation, in cell, in supernatant, or in mouse macrophages. See associated manuscript for details about extraction and library preparation
DOI: 10.5281/zenodo.17632721
title: A rapid method to simultaneously separate bacterial and eukaryotic RNA during infections reveals increased intracellular expression of Staphylococcus aureus and Shigella flexneri virulence factors

description: RNA-seq data of S.aureus, in isolation, in cell, in supernatant, or in mouse macrophages. See associated manuscript for details about extraction and library preparation
DOI: 10.15468/dl.eeatfa
title: Occurrence Download

description: A dataset containing 17067 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "GadmGid is one of (CHN.10_1, CHN.2_1, CHN.27_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Pycnonotus sinensis",
 "Year 2015-2023"
 ]
}

 The dataset includes 17067 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039429-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17633042
title: EOL computer vision pipelines: Object Detection for Image Cropping: Chiroptera

description: Produced by EOL Chiroptera Object Detection Model. Automatically crops images of bats (Chiroptera) to square dimensions centered around animal(s). Model available in the EOL Model Zoo on Kaggle.

 

17,401 rows
DOI: 10.5281/zenodo.13382573
title: EOL computer vision pipelines: Object Detection for Image Cropping: Chiroptera

description: Produced by EOL Chiroptera Object Detection Model. Automatically crops images of bats (Chiroptera) to square dimensions centered around animal(s). Model available in the EOL Model Zoo on Kaggle.

 

17,401 rows
DOI: 10.17632/c5rgc6t8tc
title: Improving the detection efficiency of IRAND based on Convolutional Neural Network (CNN)
DOI: 10.17632/c5rgc6t8tc.1
title: Improving the detection efficiency of IRAND based on Convolutional Neural Network (CNN)
DOI: 10.15468/dl.trpv94
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Bat occurrences from Bulgaria",
 "TaxonKey is Myotis brandtii"
 ]
}

 The dataset includes 34 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039431-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8hcf26wh6c
title: Identification of Groundwater Recharge Zones using Geospatial technologies and Decision-Making Approaches: A Case study in Varadaiahpalem Mandal, Tirupathi District, Andhra Pradesh, India

description: Datasets used for the study
DOI: 10.17632/8hcf26wh6c.1
title: Identification of Groundwater Recharge Zones using Geospatial technologies and Decision-Making Approaches: A Case study in Varadaiahpalem Mandal, Tirupathi District, Andhra Pradesh, India

description: Datasets used for the study
DOI: 10.17632/m2rtd9kyv5
title: Tree size and biomass measurements for 27 species in Mexican secondary tropical dry forests

description: We present a dataset on tree size and aboveground biomass for 303 trees representing 27 tropical dry forest species harvested along a chronosequence of secondary forests on the coast of Jalisco, Mexico. These data were previously used by Bojórquez et al. (2020; https://doi.org/10.1016/j.foreco.2020.118384) to develop and validate allometric models for estimating aboveground biomass in secondary tropical dry forests. We believe this dataset provides valuable information for constructing allometric models that can be applied to similar forests at broader spatial scales, including regional, national, and pantropical contexts.
DOI: 10.17632/m2rtd9kyv5.1
title: Tree size and biomass measurements for 27 species in Mexican secondary tropical dry forests

description: We present a dataset on tree size and aboveground biomass for 303 trees representing 27 tropical dry forest species harvested along a chronosequence of secondary forests on the coast of Jalisco, Mexico. These data were previously used by Bojórquez et al. (2020; https://doi.org/10.1016/j.foreco.2020.118384) to develop and validate allometric models for estimating aboveground biomass in secondary tropical dry forests. We believe this dataset provides valuable information for constructing allometric models that can be applied to similar forests at broader spatial scales, including regional, national, and pantropical contexts.
DOI: 10.15468/dl.eqy55f
title: Occurrence Download

description: A dataset containing 132926034 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 132926034 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039345-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60541/e9a4-b020
title: TRAP Laws - Hospitalization Requirements

description: One way states regulate abortions is to impose legal requirements on health care facilities in which abortions are performed. These legal requirements, known as Targeted Regulation of Abortion Provider (TRAP) laws, apply specifically to abortion providers and mandate additional requirements not applied to other similarly situated health care practices. TRAP laws may address various aspects of facilities’ physical environment and operations (e.g., staffing, required practices, hospital transfer arrangements). This website contains datasets for three different types of TRAP laws:

Abortion Facility Licensing (AFL) Requirements: The AFL dataset is limited to laws requiring facilities in which abortions are performed to be regulated under a distinct abortion facility licensing provision and/or meet special requirements regulating abortion providers.
Ambulatory Surgical Center (ASC) Requirements: The ASC dataset is limited to laws requiring facilities in which abortions are performed to be licensed ASCs and meet regulations governing ASCs.
Hospitalization Requirements (HR): The HR dataset is limited to laws requiring facilities in which abortions are performed to be licensed hospitals.
This dataset identifies variation in states that have HR requirements in effect from August 1, 2016 through November 1, 2022. This dataset complements Office-Based Surgery (OBS) Laws, which impose facility and/or operational requirements on non-hospital facilities that provide office-based surgery, procedures and/or anesthesia/sedation.

These datasets were created by a team from the Center for Public Health Law Research with subject matter experts, Bonnie Scott Jones, JD, and Sara Daniel, MPH, of Advancing New Standards in Reproductive Health Care (ANSIRH), who conceptualized and designed the study.

**Note: CPHLR is working collaboratively with Advancing New Standards in Reproductive Health (ANSIRH) on the NICHD-funded Legal Epidemiology of Abortion Policies (LEAP) Study to build longitudinal abortion policy data covering changes from 2005 through 2022. These data will be publicly released on LawAtlas.org upon completion of the project period anticipated in 2027. To learn more about the LEAP Study, please visit the study webpage.
DOI: 10.15468/dl.tb8feh
title: Occurrence Download

description: A dataset containing 1781 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthracocystis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1781 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039432-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/z6njg45r54.1
title: Supplementary Materials for: "Hormonal influences on melanoma outcomes: A multinational real-world analysis of estrogen and progesterone therapy using the TriNetX network"

description: This dataset contains supplementary tables for the study evaluating associations between estrogen and progesterone therapy and all-cause mortality in melanoma patients using TriNetX electronic health records. Files include outcome analyses, propensity score matching details, cohort characteristics, and statistical results with FDR-adjusted p-values.
DOI: 10.3535/6ev-m9x-kg5
title: †Cyclonema J. Hall, 1852

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/cle-6x7-84m
title: †Cyclonema J. Hall, 1852

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/5a4-170-gm3
title: †Cyclonema J. Hall, 1852

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/k80-5gy-err
title: †Cyclonema J. Hall, 1852

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/7c4-crd-jtv
title: †Cyclonema J. Hall, 1852

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/v5w-qph-ems
title: †Cyclonema J. Hall, 1852

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.zmjg8e
title: Occurrence Download

description: A dataset containing 56036 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Phoebastria irrorata, Numenius borealis, Procellaria westlandica, Pelecanoides garnotii, Nycticryphes semicollaris, Diomedea sanfordi, Diomedea antipodensis, Cyanoliseus patagonus, Chloephaga melanoptera, Calidris canutus, Ardenna creatopus)"
 ]
}

 The dataset includes 56036 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039405-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zt4w2b
title: Occurrence Download

description: A dataset containing 32876 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "GadmGid is one of (CHN.10_1, CHN.2_1, CHN.27_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Spilopelia chinensis, Pycnonotus sinensis)",
 "Year 2015-2023"
 ]
}

 The dataset includes 32876 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039433-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.he92sm
title: Occurrence Download

description: A dataset containing 60661 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Month is May",
 "StateProvince is New Brunswick",
 "Year 2023-2023"
 ]
}

 The dataset includes 60661 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039397-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gu82bg
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039434-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17460460
title: Chronic Utah array recordings from macaque V4 during learning of orientation discrimination tasks

description: M. mulatta, chronic V4 Utah array recordings, longitudinal, learning coarse orientation discrimination task. The dataset includes spiking activity, stimulus, behavioral information, and eye movement data.  We also provided codes that compute the essential results and make figures from the data.
DOI: 10.5281/zenodo.17460459
title: Chronic Utah array recordings from macaque V4 during learning of orientation discrimination tasks

description: M. mulatta, chronic V4 Utah array recordings, longitudinal, learning coarse orientation discrimination task. The dataset includes spiking activity, stimulus, behavioral information, and eye movement data.  We also provided codes that compute the essential results and make figures from the data.
DOI: 10.17632/983b46494s
title: Dataset sobre a associação entre solidão, comportamento político e mídias sociais no contexto do segundo turno das eleições presidenciais de 2022 em uma microrregião brasileira

description: Este dataset foi gerado para uma pesquisa de mestrado por meio de um formulário online aplicado em 2024. O instrumento integrou questões sobre: Dados sociodemográficos e socioeconômicos; perfil político e comportamento político polarizado; Uso de plataformas de mídia social para interações políticas e Escala de Solidão UCLA (primeira versão com 20 itens)
A coleta focou-se no contexto do segundo turno das eleições presidenciais brasileiras de 2022, com uma amostra representativa de 176 pessoas residentes de uma microrregião do Brasil.
Neste estudo transversal, foi adaptado o método machine learning de Gerón (2021) para pesquisa qualiquantitativa através da qual fez uma análise dos dados empíricos subjetivos coletados, empregando uma abordagem mista que utilizou algoritmos não supervisionados (K-means e DBSCAN) para identificação de padrões e clusters naturais nos dados para explorar incialmente o comportamento natural dos dados, analisar a formação de agrupamentos e características dos dados. E posteriormente Algoritmo supervisionado (K-NN) para análise de classificação baseada em instâncias dos agrupamentos formados pelo DBSCAN.
O objetivo foi investigar evidências empíricas sobre a associação entre os níveis de severidade de solidão, engajamento político e uso de mídias sociais.
A hipótese inicial - que previa uma associação linear entre altos níveis dessas variáveis - foi testada e subsequentemente refutada pelos resultados. Os dados revelaram padrões relacionais mais complexos e não lineares entre os construtos investigados. Este estudo contribuiu para o entendimento de padrões complexos de associação entre níveis de solidão, comportamento político e uso de mídias sociais. Porém apresentou algumas limitações, principalmente quanto a falta de dados sobre as variáveis no cenário nacional, conceito das variáveis, alta variabilidade de características dos dados, viés da amostra e de instrumentos de autorrelato.
DOI: 10.17632/983b46494s.1
title: Dataset sobre a associação entre solidão, comportamento político e mídias sociais no contexto do segundo turno das eleições presidenciais de 2022 em uma microrregião brasileira

description: Este dataset foi gerado para uma pesquisa de mestrado por meio de um formulário online aplicado em 2024. O instrumento integrou questões sobre: Dados sociodemográficos e socioeconômicos; perfil político e comportamento político polarizado; Uso de plataformas de mídia social para interações políticas e Escala de Solidão UCLA (primeira versão com 20 itens)
A coleta focou-se no contexto do segundo turno das eleições presidenciais brasileiras de 2022, com uma amostra representativa de 176 pessoas residentes de uma microrregião do Brasil.
Neste estudo transversal, foi adaptado o método machine learning de Gerón (2021) para pesquisa qualiquantitativa através da qual fez uma análise dos dados empíricos subjetivos coletados, empregando uma abordagem mista que utilizou algoritmos não supervisionados (K-means e DBSCAN) para identificação de padrões e clusters naturais nos dados para explorar incialmente o comportamento natural dos dados, analisar a formação de agrupamentos e características dos dados. E posteriormente Algoritmo supervisionado (K-NN) para análise de classificação baseada em instâncias dos agrupamentos formados pelo DBSCAN.
O objetivo foi investigar evidências empíricas sobre a associação entre os níveis de severidade de solidão, engajamento político e uso de mídias sociais.
A hipótese inicial - que previa uma associação linear entre altos níveis dessas variáveis - foi testada e subsequentemente refutada pelos resultados. Os dados revelaram padrões relacionais mais complexos e não lineares entre os construtos investigados. Este estudo contribuiu para o entendimento de padrões complexos de associação entre níveis de solidão, comportamento político e uso de mídias sociais. Porém apresentou algumas limitações, principalmente quanto a falta de dados sobre as variáveis no cenário nacional, conceito das variáveis, alta variabilidade de características dos dados, viés da amostra e de instrumentos de autorrelato.