cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13026/b90j-vb87
title: MS-CXR: Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing

description: We release a new dataset, MS-CXR, with locally-aligned phrase grounding
annotations by board-certified radiologists to facilitate the study of complex
semantic modelling in biomedical vision-language processing. The MS-CXR
dataset provides 1162 image-sentence pairs of bounding boxes and corresponding
phrases, collected across eight different cardiopulmonary radiological
findings, with an approximately equal number of pairs for each finding. This
dataset complements the existing MIMIC-CXR v.2 dataset and comprises: 1.
Reviewed and edited bounding boxes and phrases (1026 pairs of bounding
box/sentence); and 2. Manual bounding box labels from scratch (136 pairs of
bounding box/sentence).

This large, well-balanced phrase grounding benchmark dataset contains
carefully curated image regions annotated with descriptions of eight radiology
findings, as verified by radiologists. Unlike existing chest X-ray benchmarks,
this challenging phrase grounding task evaluates joint, local image-text
reasoning while requiring real-world language understanding, e.g. to parse
domain-specific location references, complex negations, and bias in reporting
style. This data accompany work showing that principled textual semantic
modelling can improve contrastive learning in self-supervised vision-language
processing.
DOI: 10.13026/9g2z-jg61
title: MS-CXR: Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing

description: We release a new dataset, MS-CXR, with locally-aligned phrase grounding
annotations by board-certified radiologists to facilitate the study of complex
semantic modelling in biomedical vision-language processing. The MS-CXR
dataset provides 1162 image-sentence pairs of bounding boxes and corresponding
phrases, collected across eight different cardiopulmonary radiological
findings, with an approximately equal number of pairs for each finding. This
dataset complements the existing MIMIC-CXR v.2 dataset and comprises: 1.
Reviewed and edited bounding boxes and phrases (1026 pairs of bounding
box/sentence); and 2. Manual bounding box labels from scratch (136 pairs of
bounding box/sentence).

This large, well-balanced phrase grounding benchmark dataset contains
carefully curated image regions annotated with descriptions of eight radiology
findings, as verified by radiologists. Unlike existing chest X-ray benchmarks,
this challenging phrase grounding task evaluates joint, local image-text
reasoning while requiring real-world language understanding, e.g. to parse
domain-specific location references, complex negations, and bias in reporting
style. This data accompany work showing that principled textual semantic
modelling can improve contrastive learning in self-supervised vision-language
processing.
DOI: 10.13026/ms5s-2a34
title: MS-CXR: Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing

description: We release a new dataset, MS-CXR, with locally-aligned phrase grounding
annotations by board-certified radiologists to facilitate the study of complex
semantic modelling in biomedical vision-language processing. The MS-CXR
dataset provides 1162 image-sentence pairs of bounding boxes and corresponding
phrases, collected across eight different cardiopulmonary radiological
findings, with an approximately equal number of pairs for each finding. This
dataset complements the existing MIMIC-CXR v.2 dataset and comprises: 1.
Reviewed and edited bounding boxes and phrases (1026 pairs of bounding
box/sentence); and 2. Manual bounding box labels from scratch (136 pairs of
bounding box/sentence).

This large, well-balanced phrase grounding benchmark dataset contains
carefully curated image regions annotated with descriptions of eight radiology
findings, as verified by radiologists. Unlike existing chest X-ray benchmarks,
this challenging phrase grounding task evaluates joint, local image-text
reasoning while requiring real-world language understanding, e.g. to parse
domain-specific location references, complex negations, and bias in reporting
style. This data accompany work showing that principled textual semantic
modelling can improve contrastive learning in self-supervised vision-language
processing.
DOI: 10.15468/dl.f7htes
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-117.74597 33.80494,-115.04216 27.79868,-114.08788 23.06059,-106.93074 21.7372,-105.8174 19.05413,-98.18312 14.17888,-90.38979 13.56124,-90.86693 16.17427,-88.95836 17.39243,-87.20884 20.84806,-89.4355 21.44142,-95.79741 20.4015,-96.59264 22.62086,-95.16122 27.6579,-100.88693 30.16364,-109.63454 32.47321,-117.74597 33.80494))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Psilocybe mexicana R.Heim"
 ]
}

 The dataset includes 114 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016800-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18742/25796143
title: PSYD_0110: KCL

description: <i>This record is part of the Psy-ShareD database. The Psy-ShareD database will host pre-existing structural MRI data collected at different global sites that will be suitable for region of interest, voxel-based morphometry, cortical thickness and surface area analytical approaches. To access this database, complete the Data Access Request Form by following the link on this page under the Licence ‘Psy-ShareD Data Access Request’. For more information, follow the link listed in Related Materials.</i><b>A case-control study including participants with </b><b>first-episode psychosis and matched healthy controls.</b><b>Contributors and PI’s: </b>Paul AllenInstitute of Psychiatry, Psychology and Neuroscience (IOPPN), King’s College London, U.K.<b>Key Details & Variables</b><b>Data Type</b>Feature Data<b>Age Range</b>18-35<b>Number of Participants</b>37<b>Diagnostic Criteria</b>FEP<b>Number of Clinical Subjects</b>18<b>Number of Clinical Subjects (follow-up)</b>N/A<b>Number of Control Subjects</b>19<b>Number of Control Subjects (follow-up)</b>N/A<b>Demographic Information</b>Age, Sex, Education<b>Clinical Measures</b>PANSS, DASS<b>Cognitive Measures</b>WRAT IQ<b>Clinical Functioning Measures</b>N/A<b>Antipsychotic Medication Information Recorded</b>No<b>Antipsychotic Medication Name/ Antipsychotic Type</b>N/A<b>Antipsychotic Dose Recorded</b>N/A<b>CPZ Equivalents Recorded</b>N/A<b>Other Medication Variables Recorded</b>No<b>Recreational Drug/ Alcohol Use</b>No<i>Note: the above table features key details and variables and is not an exhaustive list.</i><br>
DOI: 10.18742/25796143.v1
title: PSYD_0110: KCL

description: <i>This record is part of the Psy-ShareD database. The Psy-ShareD database will host pre-existing structural MRI data collected at different global sites that will be suitable for region of interest, voxel-based morphometry, cortical thickness and surface area analytical approaches. To access this database, complete the Data Access Request Form by following the link on this page under the Licence ‘Psy-ShareD Data Access Request’. For more information, follow the link listed in Related Materials.</i><b>A case-control study including participants with </b><b>first-episode psychosis and matched healthy controls.</b><b>Contributors and PI’s: </b>Paul AllenInstitute of Psychiatry, Psychology and Neuroscience (IOPPN), King’s College London, U.K.<b>Key Details & Variables</b><b>Data Type</b>Feature Data<b>Age Range</b>18-35<b>Number of Participants</b>37<b>Diagnostic Criteria</b>FEP<b>Number of Clinical Subjects</b>18<b>Number of Clinical Subjects (follow-up)</b>N/A<b>Number of Control Subjects</b>19<b>Number of Control Subjects (follow-up)</b>N/A<b>Demographic Information</b>Age, Sex, Education<b>Clinical Measures</b>PANSS, DASS<b>Cognitive Measures</b>WRAT IQ<b>Clinical Functioning Measures</b>N/A<b>Antipsychotic Medication Information Recorded</b>No<b>Antipsychotic Medication Name/ Antipsychotic Type</b>N/A<b>Antipsychotic Dose Recorded</b>N/A<b>CPZ Equivalents Recorded</b>N/A<b>Other Medication Variables Recorded</b>No<b>Recreational Drug/ Alcohol Use</b>No<i>Note: the above table features key details and variables and is not an exhaustive list.</i><br>
DOI: 10.6092/unibo/amsacta/7886
title: Data and code to analyse the extent of the hip bone sexual dimorphism in two Italian coeval modern skeletal samples

description: This dataset contains data from the analisys of 280 coxal bones of two coeval Italian samples from Bologna and Sassari, part of a large modern (19th-20th c.) documented human osteological collections (DHOCs) housed at the University of Bologna. Specifically, the sample is composed of 70 individuals (36 males and 34 females) coming from the Certosa Cemetery of Bologna (Emilia Romagna, Northern Italy) and 70 individuals (36 males and 34 females) from the Sassari cemetery (Sardinia). All individuals composing the sample are adults. The samples were analysed to evaluate sexual dimorphism within and between the Bologna and Sassari groups, and comparing the extent of sexual dimorphism between these samples by using nineteen metric variables of the coxal bone. The code developed to run the analysis is provided together with the data.
DOI: 10.18742/25796071
title: PSYD_0111: KCL

description: <i>This record is part of the Psy-ShareD database. The Psy-ShareD database will host pre-existing structural MRI data collected at different global sites that will be suitable for region of interest, voxel-based morphometry, cortical thickness and surface area analytical approaches. To access this database, complete the Data Access Request Form by following the link on this page under the Licence ‘Psy-ShareD Data Access Request’. For more information, follow the link listed in Related Materials.</i><b>A case-control study including participants with clinical high risk, first-episode psychosis and healthy controls.</b><b>Contributors and PI’s: </b>Philip McGuire, Paul AllenInstitute of Psychiatry, Psychology and Neuroscience (IOPPN), King’s College London, U.K.<b>Key Details & Variables</b><b>Data Type</b>Feature Data<b>Age Range</b>18-35<b>Number of Participants</b>25<b>Diagnostic Criteria</b>CHR/FEP<b>Number of Clinical Subjects</b>20<b>Number of Clinical Subjects (follow-up)</b>N/A<b>Number of Control Subjects</b>5<b>Number of Control Subjects (follow-up)</b>N/A<b>Demographic Information</b>Age, Sex, Education, Ethnicity<b>Clinical Measures</b>PANSS<b>Cognitive Measures</b>WRAT, IQ Digit Span, Verbal Fluency<b>Clinical Functioning Measures</b>N/A<b>Antipsychotic Medication Information Recorded</b>No<b>Antipsychotic Medication Name/ Antipsychotic Type</b>N/A<b>Antipsychotic Dose Recorded</b>N/A<b>CPZ Equivalents Recorded</b>N/A<b>Recreational Drug/ Alcohol Use</b>Yes<i>Note: the above table features key details and variables and is not an exhaustive list.</i>
DOI: 10.18742/25796071.v1
title: PSYD_0111: KCL

description: <i>This record is part of the Psy-ShareD database. The Psy-ShareD database will host pre-existing structural MRI data collected at different global sites that will be suitable for region of interest, voxel-based morphometry, cortical thickness and surface area analytical approaches. To access this database, complete the Data Access Request Form by following the link on this page under the Licence ‘Psy-ShareD Data Access Request’. For more information, follow the link listed in Related Materials.</i><b>A case-control study including participants with clinical high risk, first-episode psychosis and healthy controls.</b><b>Contributors and PI’s: </b>Philip McGuire, Paul AllenInstitute of Psychiatry, Psychology and Neuroscience (IOPPN), King’s College London, U.K.<b>Key Details & Variables</b><b>Data Type</b>Feature Data<b>Age Range</b>18-35<b>Number of Participants</b>25<b>Diagnostic Criteria</b>CHR/FEP<b>Number of Clinical Subjects</b>20<b>Number of Clinical Subjects (follow-up)</b>N/A<b>Number of Control Subjects</b>5<b>Number of Control Subjects (follow-up)</b>N/A<b>Demographic Information</b>Age, Sex, Education, Ethnicity<b>Clinical Measures</b>PANSS<b>Cognitive Measures</b>WRAT, IQ Digit Span, Verbal Fluency<b>Clinical Functioning Measures</b>N/A<b>Antipsychotic Medication Information Recorded</b>No<b>Antipsychotic Medication Name/ Antipsychotic Type</b>N/A<b>Antipsychotic Dose Recorded</b>N/A<b>CPZ Equivalents Recorded</b>N/A<b>Recreational Drug/ Alcohol Use</b>Yes<i>Note: the above table features key details and variables and is not an exhaustive list.</i>
DOI: 10.5281/zenodo.10929514
title: The data for Time-dependent Stellar Flare Models of Deep Atmospheric Heating

description: This repository contains model output (within two .tar.gz files) and a pdf document (analysis_tools_mdwarfradyngrid-v1.0.pdf) that explains the contents and use.  The models are described in Kowalski, A.F., Allred, J.C., & Carlsson, M. Time-dependent Stellar Flare Models of Deep Atmospheric Heating, published 2024 July 5 in The Astrophysical Journal Volume 969, Number 2 (DOI: 10.3847/1538-4357/ad4148).

The Jupyter notebook demo, radyn_xtools_Demo.ipynb is included in the PyPI package installation that is described in analysis_tools_mdwarfradyngrid-1.0.pdf.
DOI: 10.18742/25729671
title: PSYD_0113: KCL

description: <i>This record is part of the Psy-ShareD database. The Psy-ShareD database will host pre-existing structural MRI data collected at different global sites that will be suitable for region of interest, voxel-based morphometry, cortical thickness and surface area analytical approaches. To access this database, complete the Data Access Request Form by following the link on this page under the Licence ‘Psy-ShareD Data Access Request’. For more information, follow the link listed in Related Materials.</i><b>Clinical High-Risk Study </b><b>part of the longitudinal (follow-up) dataset for PSYD_0102</b><b>Contributors and PIs:</b> Paul Allen, Philip McGuireInstitute of Psychiatry, Psychology and Neuroscience (IOPPN), King's College London, U.K.<b>Key Details & Variables</b><b>Data Type</b>Feature Data<b>Age Range</b>18-35<b>Number of Participants</b>6<b>Diagnostic Criteria</b>CHR (follow-up of PSYD_0102)<b>Number of Clinical Subjects</b>N/A<b>Number of Clinical Subjects (follow-up)</b>6<b>Number of Control Subjects</b>N/A<b>Number of Control Subjects (follow-up)</b>N/A<b>Demographic Information</b>Age, Sex, Ethnicity, Education, Handedness<b>Clinical Measures</b>PANSS, CAARMS, O-LIFE<b>Cognitive Measures</b>NART IQ, WAIS, F-A-S<b>Clinical Functioning Measures</b>GAF<b>Antipsychotic Medication Information Recorded</b>No<b>Antipsychotic Medication Name/ Antipsychotic Type</b>N/A<b>Antipsychotic Dose Recorded</b>N/A<b>CPZ Equivalents Recorded</b>N/A<b>Other Medication Variables Recorded</b>Yes<b>Recreational Drug/ Alcohol Use</b>Yes<i>Note: the above table features key details and variables and is not an exhaustive list.</i>
DOI: 10.18742/25729671.v1
title: PSYD_0113: KCL

description: <i>This record is part of the Psy-ShareD database. The Psy-ShareD database will host pre-existing structural MRI data collected at different global sites that will be suitable for region of interest, voxel-based morphometry, cortical thickness and surface area analytical approaches. To access this database, complete the Data Access Request Form by following the link on this page under the Licence ‘Psy-ShareD Data Access Request’. For more information, follow the link listed in Related Materials.</i><b>Clinical High-Risk Study </b><b>part of the longitudinal (follow-up) dataset for PSYD_0102</b><b>Contributors and PIs:</b> Paul Allen, Philip McGuireInstitute of Psychiatry, Psychology and Neuroscience (IOPPN), King's College London, U.K.<b>Key Details & Variables</b><b>Data Type</b>Feature Data<b>Age Range</b>18-35<b>Number of Participants</b>6<b>Diagnostic Criteria</b>CHR (follow-up of PSYD_0102)<b>Number of Clinical Subjects</b>N/A<b>Number of Clinical Subjects (follow-up)</b>6<b>Number of Control Subjects</b>N/A<b>Number of Control Subjects (follow-up)</b>N/A<b>Demographic Information</b>Age, Sex, Ethnicity, Education, Handedness<b>Clinical Measures</b>PANSS, CAARMS, O-LIFE<b>Cognitive Measures</b>NART IQ, WAIS, F-A-S<b>Clinical Functioning Measures</b>GAF<b>Antipsychotic Medication Information Recorded</b>No<b>Antipsychotic Medication Name/ Antipsychotic Type</b>N/A<b>Antipsychotic Dose Recorded</b>N/A<b>CPZ Equivalents Recorded</b>N/A<b>Other Medication Variables Recorded</b>Yes<b>Recreational Drug/ Alcohol Use</b>Yes<i>Note: the above table features key details and variables and is not an exhaustive list.</i>
DOI: 10.7294/26406472
title: Dangerous Harbor Project - Westmoreland County - Reel 52 - 1690-1698 - TIFFs 51-100

description: This dataset includes 50 TIFF files showing court orders from Westmoreland County in Virginia. They were created to settle disputes between residents within Westmoreland County and ultimately issue punishments, judgments, and fines. These documents were used to identify escaped unfree laborers in the 17th century Chesapeake and the punishments associated with their escape. 
<br>
To learn more about this project, please go to the Dangerous Harbor Website.
DOI: 10.7294/26406472.v1
title: Dangerous Harbor Project - Westmoreland County - Reel 52 - 1690-1698 - TIFFs 51-100

description: This dataset includes 50 TIFF files showing court orders from Westmoreland County in Virginia. They were created to settle disputes between residents within Westmoreland County and ultimately issue punishments, judgments, and fines. These documents were used to identify escaped unfree laborers in the 17th century Chesapeake and the punishments associated with their escape. 
<br>
To learn more about this project, please go to the Dangerous Harbor Website.
DOI: 10.5281/zenodo.12708342
title: SIGURD Data

description: Data for the SIGURD paper.
DOI: 10.5281/zenodo.12708343
title: SIGURD Data

description: Data for the SIGURD paper.
DOI: 10.5281/zenodo.14034641
title: SIGURD Data

description: Data for the SIGURD paper.
DOI: 10.5281/zenodo.14065891
title: SIGURD Data

description: Data for the SIGURD paper.
DOI: 10.15468/dl.scwvqf
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Canada",
 "Country is Canada"
 ]
 },
 "TaxonKey is one of (Huperzia ×protoporophila A.Haines)"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016805-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18742/25746420
title: PSYD_0114: KCL

description: <i>This record is part of the Psy-ShareD database. The Psy-ShareD database will host pre-existing structural MRI data collected at different global sites that will be suitable for region of interest, voxel-based morphometry, cortical thickness and surface area analytical approaches. To access this database, complete the Data Access Request Form by following the link on this page under the Licence ‘Psy-ShareD Data Access Request’. For more information, follow the link listed in Related Materials.</i><b>Clinical High-Risk follow-up for PSYD_0102: KCL</b><b>Contributors and PI’s: </b>Matthew KemptonInstitute of Psychiatry, Psychology and Neuroscience (IOPPN),<b> </b>King’s College London, U.K.<b>Key Details & Variables</b><b>Data Type</b>Feature Data<b>Age Range</b>18-35<b>Number of Participants</b>47<b>Diagnostic Criteria</b>CHR (follow up for PSYD_0102)<b>Number of Clinical Subjects</b>5<b>Number of Clinical Subjects (follow-up)</b>42<b>Number of Control Subjects</b>N/A<b>Number of Control Subjects (follow-up)</b>N/A<b>Demographic Information</b>Age, Sex, Education, Ethnicity, Handedness<b>Clinical Measures</b>PANSS, CAARMS, PSYRATS<b>Cognitive Measures</b>WRAT, NART, WAIS Digit Span, F-A-S Verbal Fluency/ Sematic Fluency<b>Clinical Functioning Measures</b>N/A<b>Antipsychotic Medication Information Recorded</b>Yes<b>Antipsychotic Medication Name/ Antipsychotic Type</b>Name<b>Antipsychotic Dose Recorded</b>Yes<b>CPZ Equivalents Recorded</b>No<b>Other Medication Variables Recorded</b>Yes<b>Recreational Drug/ Alcohol Use</b>Yes<i>Note: the above table features key details and variables and is not an exhaustive list.</i>
DOI: 10.18742/25746420.v1
title: PSYD_0114: KCL

description: <i>This record is part of the Psy-ShareD database. The Psy-ShareD database will host pre-existing structural MRI data collected at different global sites that will be suitable for region of interest, voxel-based morphometry, cortical thickness and surface area analytical approaches. To access this database, complete the Data Access Request Form by following the link on this page under the Licence ‘Psy-ShareD Data Access Request’. For more information, follow the link listed in Related Materials.</i><b>Clinical High-Risk follow-up for PSYD_0102: KCL</b><b>Contributors and PI’s: </b>Matthew KemptonInstitute of Psychiatry, Psychology and Neuroscience (IOPPN),<b> </b>King’s College London, U.K.<b>Key Details & Variables</b><b>Data Type</b>Feature Data<b>Age Range</b>18-35<b>Number of Participants</b>47<b>Diagnostic Criteria</b>CHR (follow up for PSYD_0102)<b>Number of Clinical Subjects</b>5<b>Number of Clinical Subjects (follow-up)</b>42<b>Number of Control Subjects</b>N/A<b>Number of Control Subjects (follow-up)</b>N/A<b>Demographic Information</b>Age, Sex, Education, Ethnicity, Handedness<b>Clinical Measures</b>PANSS, CAARMS, PSYRATS<b>Cognitive Measures</b>WRAT, NART, WAIS Digit Span, F-A-S Verbal Fluency/ Sematic Fluency<b>Clinical Functioning Measures</b>N/A<b>Antipsychotic Medication Information Recorded</b>Yes<b>Antipsychotic Medication Name/ Antipsychotic Type</b>Name<b>Antipsychotic Dose Recorded</b>Yes<b>CPZ Equivalents Recorded</b>No<b>Other Medication Variables Recorded</b>Yes<b>Recreational Drug/ Alcohol Use</b>Yes<i>Note: the above table features key details and variables and is not an exhaustive list.</i>
DOI: 10.15468/dl.exb6cu
title: Occurrence Download

description: A dataset containing 2192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "License is CC-BY 4.0",
 "TaxonKey is Oophaga pumilio (Schmidt, 1857)"
 ]
}

 The dataset includes 2192 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016806-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.