cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xk526c
title: Occurrence Download

description: A dataset containing 2773 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Conceveiba Aubl."
 ]
}

 The dataset includes 2773 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016474-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15346277
title: cynolebias_porosus_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.15346278
title: cynolebias_porosus_decontaminated_FSCR.fasta.gz
DOI: 10.15468/dl.3nq2rs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-44.37555 -20.80104, -39.68903 -20.80104, -39.68903 -17.95206, -44.37555 -17.95206, -44.37555 -20.80104))",
 "TaxonKey is Ciliophora Doflein, 1901",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1995"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016475-250426092105405/datasets/export for details.
DOI: 10.34740/kaggle/dsv/11690868
title: Balochi Language to English Translation Dataset
DOI: 10.15468/dl.7bab6u
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Romania",
 "OccurrenceStatus is Present",
 "PublishingOrg is da86174a-a605-43a4-a5e8-53d484152cd3",
 "TaxonKey is one of (Impatiens glandulifera Arn., Impatiens glandulifera Royle)"
 ]
}

 The dataset includes 108 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016476-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.97m9xt
title: Occurrence Download

description: A dataset containing 1059351 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PhylumKey is one of (Tracheophyta)",
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada)"
 ]
}

 The dataset includes 1059351 records from 337 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016469-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcrwq8
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andrena latinensis Donovan, 1977"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016478-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13026/5htm-7515
title: Minute level step counts and physical activity data from the National Health and Nutrition Examination Survey (NHANES) 2011-2014

description: The National Health and Nutrition Examination Survey (NHANES) is a nationally
representative study that collects demographic, socioeconomic, dietary, and
health-related information from 10,000 Americans annually. In Wave G
(2011-2012) and Wave H (2013-2014), participants wore an ActiGraph GT3X+ on
the non-dominant wrist for seven consecutive days. Publicly available data
include minute-level wear predictions (wake wear, sleep wear, unknown,
nonwear), data quality flags, and monitor-independent movement summary units
(MIMS). Additionally, raw triaxial accelerometer data recorded at 80 Hz are
provided, enabling detailed analyses beyond MIMS.

We applied five step counting algorithms and the ActiGraph Activity Count (AC)
algorithm to the raw data to create a dataset of minute-level step counts. The
dataset also includes minute level AC, MIMS, wear predictions, and wear flags
for all participants who wore accelerometers in NHANES 2011-2014\. These data
facilitate detailed investigations of accelerometry-measured physical activity
patterns in a nationally representative U.S. population. Potential analyses
include examination of within-day activity patterns and their association with
health outcomes.
DOI: 10.13026/9n0r-tv02
title: Minute level step counts and physical activity data from the National Health and Nutrition Examination Survey (NHANES) 2011-2014

description: The National Health and Nutrition Examination Survey (NHANES) is a nationally
representative study that collects demographic, socioeconomic, dietary, and
health-related information from 10,000 Americans annually. In Wave G
(2011-2012) and Wave H (2013-2014), participants wore an ActiGraph GT3X+ on
the non-dominant wrist for seven consecutive days. Publicly available data
include minute-level wear predictions (wake wear, sleep wear, unknown,
nonwear), data quality flags, and monitor-independent movement summary units
(MIMS). Additionally, raw triaxial accelerometer data recorded at 80 Hz are
provided, enabling detailed analyses beyond MIMS.

We applied five step counting algorithms and the ActiGraph Activity Count (AC)
algorithm to the raw data to create a dataset of minute-level step counts. The
dataset also includes minute level AC, MIMS, wear predictions, and wear flags
for all participants who wore accelerometers in NHANES 2011-2014\. These data
facilitate detailed investigations of accelerometry-measured physical activity
patterns in a nationally representative U.S. population. Potential analyses
include examination of within-day activity patterns and their association with
health outcomes.
DOI: 10.13026/ah0j-3z47
title: Minute level step counts and physical activity data from the National Health and Nutrition Examination Survey (NHANES) 2011-2014

description: The National Health and Nutrition Examination Survey (NHANES) is a nationally
representative study that collects demographic, socioeconomic, dietary, and
health-related information from 10,000 Americans annually. In Wave G
(2011-2012) and Wave H (2013-2014), participants wore an ActiGraph GT3X+ on
the non-dominant wrist for seven consecutive days. Publicly available data
include minute-level wear predictions (wake wear, sleep wear, unknown,
nonwear), data quality flags, and monitor-independent movement summary units
(MIMS). Additionally, raw triaxial accelerometer data recorded at 80 Hz are
provided, enabling detailed analyses beyond MIMS.

We applied five step counting algorithms and the ActiGraph Activity Count (AC)
algorithm to the raw data to create a dataset of minute-level step counts. The
dataset also includes minute level AC, MIMS, wear predictions, and wear flags
for all participants who wore accelerometers in NHANES 2011-2014\. These data
facilitate detailed investigations of accelerometry-measured physical activity
patterns in a nationally representative U.S. population. Potential analyses
include examination of within-day activity patterns and their association with
health outcomes.
DOI: 10.15468/dl.kdyux3
title: Occurrence Download

description: A dataset containing 3327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Conchocarpus J.C.Mikan"
 ]
}

 The dataset includes 3327 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016479-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3cxbaa
title: Occurrence Download

description: A dataset containing 95475 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Collection Mammalia SMF"
 ]
}

 The dataset includes 95475 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016471-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13026/f566-h049
title: MeDiSumQA: Patient-Oriented Question-Answer Generation from Discharge Letters

description: While increasing patients' access to medical documents improves medical care,
this benefit is limited by varying health literacy levels and complex medical
terminology. Large language models (LLMs) offer solutions by simplifying
medical information. However, evaluating LLMs for safe and patient-friendly
text generation is difficult due to the lack of standardized evaluation
resources. To fill this gap, we developed MeDiSumQA. MeDiSumQA is a dataset
created from MIMIC-IV discharge summaries through an automated pipeline
combining LLM-based question-answer generation with manual quality checks. We
use this dataset to evaluate various LLMs on patient-oriented question-
answering. Our findings reveal that general-purpose LLMs frequently surpass
biomedical-adapted models, while automated metrics correlate with human
judgment. By releasing MeDiSumQA on PhysioNet, we aim to advance the
development of LLMs to enhance patient understanding and ultimately improve
care outcomes.
DOI: 10.13026/tvmt-8d97
title: MeDiSumQA: Patient-Oriented Question-Answer Generation from Discharge Letters

description: While increasing patients' access to medical documents improves medical care,
this benefit is limited by varying health literacy levels and complex medical
terminology. Large language models (LLMs) offer solutions by simplifying
medical information. However, evaluating LLMs for safe and patient-friendly
text generation is difficult due to the lack of standardized evaluation
resources. To fill this gap, we developed MeDiSumQA. MeDiSumQA is a dataset
created from MIMIC-IV discharge summaries through an automated pipeline
combining LLM-based question-answer generation with manual quality checks. We
use this dataset to evaluate various LLMs on patient-oriented question-
answering. Our findings reveal that general-purpose LLMs frequently surpass
biomedical-adapted models, while automated metrics correlate with human
judgment. By releasing MeDiSumQA on PhysioNet, we aim to advance the
development of LLMs to enhance patient understanding and ultimately improve
care outcomes.
DOI: 10.15468/dl.4vzc7j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-44.37555 -20.80104, -39.68903 -20.80104, -39.68903 -17.95206, -44.37555 -17.95206, -44.37555 -20.80104))",
 "TaxonKey is Ciliophora Doflein, 1901",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1995"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016480-250426092105405/datasets/export for details.
DOI: 10.15468/dl.r6wqez
title: Occurrence Download

description: A dataset containing 461 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Congea Roxb."
 ]
}

 The dataset includes 461 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016481-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13026/0q5t-zw54
title: FDTooth: Intraoral Photographs and Cone-Beam Computed Tomography Images for Fenestration and Dehiscence Detection

description: FDTooth is a comprehensive dataset designed for the automated detection of
fenestration and dehiscence (FD) in anterior teeth, combining intraoral
photographs and corresponding cone-beam computed tomography (CBCT) images from
241 patients aged 9 to 55 years. The dataset includes 1,800 annotated bounding
boxes for intraoral photographs, with cone-beam computed tomography (CBCT)
serving as the imaging modality of choice for assessing bone defects. It
supports interdisciplinary dental research by enabling the development of deep
learning models for non-invasive FD screening, providing an alternative
assessment method that reduces radiation exposure. FDTooth serves as a
valuable resource for advancing dental diagnostics, training professionals,
and exploring other applications in dental and maxillofacial imaging.
DOI: 10.13026/v9xk-dy61
title: FDTooth: Intraoral Photographs and Cone-Beam Computed Tomography Images for Fenestration and Dehiscence Detection

description: FDTooth is a comprehensive dataset designed for the automated detection of
fenestration and dehiscence (FD) in anterior teeth, combining intraoral
photographs and corresponding cone-beam computed tomography (CBCT) images from
241 patients aged 9 to 55 years. The dataset includes 1,800 annotated bounding
boxes for intraoral photographs, with cone-beam computed tomography (CBCT)
serving as the imaging modality of choice for assessing bone defects. It
supports interdisciplinary dental research by enabling the development of deep
learning models for non-invasive FD screening, providing an alternative
assessment method that reduces radiation exposure. FDTooth serves as a
valuable resource for advancing dental diagnostics, training professionals,
and exploring other applications in dental and maxillofacial imaging.
DOI: 10.5281/zenodo.15346285
title: eperua_schomburgkiana_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.15346286
title: eperua_schomburgkiana_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.15346291
title: Water Quality Analysis of Surface Water and Drainage from an Iowa Research Farm, 2023 Growing Season

description: Water quality analysis of surface water runoff and drainage from a rainfed field at an Iowa State University research station near Williams, Iowa, for the 2023 growing season.
description: This work is funded in part through the U.S. Department of Energy ARPA-E program under Cooperative Agreement DE-AR0001226, and is led by the Daugherty Water for Food Global Institute (DWFI) at the University of Nebraska.

Restricted Access description:

Data file is password-protected. Users can request the password via email to dwfiresearch@nebraska.edu, but must accompany the request with written (1) justification to access the data, (2) agreement to acknowledge the Daugherty Water for Food Global Institute at the University of Nebraska (DWFI) and the Department of Energy ARPA-E program in any resulting publications, and (3) confirmation that the data will be held confidentially and will not be shared or published without written consent of DWFI.
DOI: 10.5281/zenodo.15346292
title: Water Quality Analysis of Surface Water and Drainage from an Iowa Research Farm, 2023 Growing Season

description: Water quality analysis of surface water runoff and drainage from a rainfed field at an Iowa State University research station near Williams, Iowa, for the 2023 growing season.
description: This work is funded in part through the U.S. Department of Energy ARPA-E program under Cooperative Agreement DE-AR0001226, and is led by the Daugherty Water for Food Global Institute (DWFI) at the University of Nebraska.

Restricted Access description:

Data file is password-protected. Users can request the password via email to dwfiresearch@nebraska.edu, but must accompany the request with written (1) justification to access the data, (2) agreement to acknowledge the Daugherty Water for Food Global Institute at the University of Nebraska (DWFI) and the Department of Energy ARPA-E program in any resulting publications, and (3) confirmation that the data will be held confidentially and will not be shared or published without written consent of DWFI.
DOI: 10.5281/zenodo.15346293
title: IMPROVING TAX ADMINISTRATION: IMPACT ON SUSTAINABILITY AND GROWTH OF FINANCIAL POTENTIAL

description: The article examines the modern principles of the tax system of the Republic of Uzbekistan, provided for in the tax administration system in recent years. Special attention is paid to reducing the tax burden, digitalizing tax administration, stimulating innovation, fairness and equality - ensuring equal tax conditions for all categories of taxpayers, regardless of their size and form of ownership. The key innovations aimed at increasing transparency, expanding the tax base and improving the investment climate are analyzed. Based on the analysis of statistical data and regulations, the main achievements of the reforms have been identified, as well as urgent problems requiring further improvement. In conclusion, recommendations for improving tax administration are proposed.
DOI: 10.5281/zenodo.15346294
title: IMPROVING TAX ADMINISTRATION: IMPACT ON SUSTAINABILITY AND GROWTH OF FINANCIAL POTENTIAL

description: The article examines the modern principles of the tax system of the Republic of Uzbekistan, provided for in the tax administration system in recent years. Special attention is paid to reducing the tax burden, digitalizing tax administration, stimulating innovation, fairness and equality - ensuring equal tax conditions for all categories of taxpayers, regardless of their size and form of ownership. The key innovations aimed at increasing transparency, expanding the tax base and improving the investment climate are analyzed. Based on the analysis of statistical data and regulations, the main achievements of the reforms have been identified, as well as urgent problems requiring further improvement. In conclusion, recommendations for improving tax administration are proposed.
DOI: 10.5281/zenodo.15346305
title: frantzia_panamensis_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.15346306
title: frantzia_panamensis_decontaminated_FSCR.fasta.gz
DOI: 10.15468/dl.czdgmw
title: Occurrence Download

description: A dataset containing 403661 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is True",
 "HasGeospatialIssue is False",
 "OccurrenceStatus is Present",
 "TaxonKey is Pipistrellus pygmaeus (Leach, 1825)"
 ]
}

 The dataset includes 403661 records from 1471 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016477-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aw7hf9
title: Occurrence Download

description: A dataset containing 4684 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eubalaena australis",
 "Year 1900-2000"
 ]
}

 The dataset includes 4684 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010843-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17328994
title: Dataset for Estimating Story Point in Open Source Projects

description: This dataset has been created from eight open-source projects' management interface(JIRA) named as appceleratorstudio, aptanastudio, bamboo, clover, datamanagement, duracloud, jirasoftware, and mesos. This is used for academic purposes to quantify story point prediction in project environment.
DOI: 10.5281/zenodo.17328995
title: Dataset for Estimating Story Point in Open Source Projects

description: This dataset has been created from eight open-source projects' management interface(JIRA) named as appceleratorstudio, aptanastudio, bamboo, clover, datamanagement, duracloud, jirasoftware, and mesos. This is used for academic purposes to quantify story point prediction in project environment.
DOI: 10.3535/561-z8w-q1k
title: †Lepidorbitoides campaniensis van Gorsel, 1973

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ej9-mxh-509
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r4k-1bx-9vh
title: Candona neglecta G.O. Sars, 1887

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ty2-2h9-5c6
title: †Orbitoides d'Orbigny, in Lyell, 1848

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cxw-mgp-p1e
title: Peneroplis planatus (Fichtel & Moll, 1798)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y70-9lz-myv
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q43-0wy-njq
title: †Millerella Thompson, 1942

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tav-6zv-d0f
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1ae-v66-3y8
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1e6-baj-qae
title: Neogastropoda Wenz, 1938

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2rc-h5l-2vf
title: Lenticulina rotulata (Lamarck, 1804)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.71929/rubin/2584020
title: RTN-045: Guidelines for User Tutorials

description: This document defines the guidelines, principles, and formats for user-facing tutorials that demonstrate how to use the Rubin Science Platform (RSP) to analyze data from the Legacy Survey of Space and Time (LSST). All Rubin staff and the broader science community should use these guidelines when contributing to the sets of Jupyter Notebook or documentation-based tutorials maintained by the Rubin Community Science team (CST).
DOI: 10.3535/6f8-49k-qp3
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f2c-6ry-ck8
title: Trilobatus trilobus (Reuss, 1850)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dyj-vdt-cal
title: Bolivina d'Orbigny, 1839

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sll-0z0-t9j
title: †Parasubbotina pseudobulloides (Plummer, 1927)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m93-6dx-79a
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pm0-99p-d6z
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/87v-12n-4e9
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.syj4ne
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "DatasetKey is one of (2023 Contributions of Plant Specimen Data inside China, Royal Botanic Garden Edinburgh Living Plant Collections (E))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dendrocalamus sinicus"
 ]
}

 The dataset includes 36 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022386-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.