cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27301734
title: An open-pit mine segmentation dataset for deep learning

description: The open-pit mine segmentation dataset for deep learning is a carefully curated resource. It was developed through a systematic process. Firstly, by conducting comprehensive literature research, the Point of Interest (POI) data of open-pit mines was summarized. Based on this, Google Level 17 images were obtained. Then, through painstaking manual annotation work, the boundaries of the mines were precisely marked out. The dataset provides the boundary information in YOLO format, which is highly conducive to the training and optimization of deep learning models for tasks related to open-pit mine segmentation. It enables researchers and practitioners in the field of deep learning to have a reliable and accurate dataset at their disposal, facilitating the development of more effective algorithms and applications for understanding and analyzing the characteristics and patterns of open-pit mines, which can have significant implications for mine management, safety monitoring, and resource optimization in the open-pit mining industry.<br>
DOI: 10.15468/dl.akpu53
title: Occurrence Download

description: A dataset containing 133692 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material citation, Material sample, Occurrence evidence)",
 "CoordinateUncertaintyInMeters is less than or equal to 5000.0",
 "Country is one of (Ghana, Côte d’Ivoire, Burkina Faso, Togo, Benin)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1970-2024"
 ]
}

 The dataset includes 133692 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002004-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26370265
title: Supplementary Figure S2 - qcrB Gammaproteobacteria

description: Data files for the qcrB phylogeny in Supplementary Figure S2 of "Genetic potential for aerobic respiration and denitrification in globally distributed respiratory endosymbionts".<br><br>Files for a qcrB gene phylogeny of representatives of 305 gammaproteobacterial families included in Supplementary Figure S1. The genomes/mags included were obtained from the Genome Taxonomy Database (GTDB) and the genomic catalog of earth's microbiomes (GEM).<br><br>references:<br>GTDB:<br>https://academic.oup.com/nar/article/50/D1/D785/6370255 & https://gtdb.ecogenomic.org/<br>GEM:<br>https://www.nature.com/articles/s41587-020-0718-6 & https://genome.jgi.doe.gov/portal/GEMs/GEMs.home.html
DOI: 10.6084/m9.figshare.26370265.v2
title: Supplementary Figure S2 - qcrB Gammaproteobacteria

description: Data files for the qcrB phylogeny in Supplementary Figure S2 of "Genetic potential for aerobic respiration and denitrification in globally distributed respiratory endosymbionts".<br><br>Files for a qcrB gene phylogeny of representatives of 305 gammaproteobacterial families included in Supplementary Figure S1. The genomes/mags included were obtained from the Genome Taxonomy Database (GTDB) and the genomic catalog of earth's microbiomes (GEM).<br><br>references:<br>GTDB:<br>https://academic.oup.com/nar/article/50/D1/D785/6370255 & https://gtdb.ecogenomic.org/<br>GEM:<br>https://www.nature.com/articles/s41587-020-0718-6 & https://genome.jgi.doe.gov/portal/GEMs/GEMs.home.html
DOI: 10.6084/m9.figshare.26370265.v1
title: Supplementary Figure S2 - qcrB GammaproteobacteriaUntitled Item

description: Data files for the qcrB phylogeny in Supplementary Figure S2 of "Genetic potential for aerobic respiration and denitrification in globally distributed respiratory endosymbionts".<br><br>Files for a qcrB gene phylogeny of representatives of 305 gammaproteobacterial families included in Supplementary Figure S1. The genomes/mags included were obtained from the Genome Taxonomy Database (GTDB) and the genomic catalog of earth's microbiomes (GEM).<br><br>references:<br>GTDB:<br>https://academic.oup.com/nar/article/50/D1/D785/6370255 & https://gtdb.ecogenomic.org/<br>GEM:<br>https://www.nature.com/articles/s41587-020-0718-6 & https://genome.jgi.doe.gov/portal/GEMs/GEMs.home.html
DOI: 10.15468/dl.8m4bbd
title: Occurrence Download

description: A dataset containing 13140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Brachychiton populneus (Schott & Endl.) R.Br."
 ]
}

 The dataset includes 13140 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002011-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23636/amm7-4y46
title: UEFA Women's Euro England 2022 - Collection Seed List

description: The UEFA Women's Euro England 2022 - Collection Seed List dataset is derived from the web archive collection “UEFA Women's Euro England 2022”. The UK Web Archive collection is described at https://www.webarchive.org.uk/en/ukwa/collection/4278. This data was extracted in July 2023 from the collection’s list of target records stored in the W3 Annotation Curation Tool (ACT), the curation software used to manage the metadata associated with archiving websites. The UEFA Women's Euro England 2022 - Collection Seed List contains four documents: UEFA Women's Euro England 2022 - Collection Seed List CSV UEFA Women's Euro England 2022 - Collection Seed List JSON Datasheet for UEFA Women's Euro England 2022 - Collection Seed List Data Dictionary UEFA Women's Euro England 2022 - Collection Seed List
description: London, UK
DOI: 10.5281/zenodo.10829705
title: Non-Stationary Bias Adjusted Dataset of Projected Rainfall for scenario RCP8.5 at the Guadalfeo River Basin (Andalusia)
title: Unbiased dataset of rainfall projections of rcp8.5 at Guadalfeo River basin (Andalusia)

description: This dataset was unbiased using a novel non-stationary bias adjustment methodology specifically tailored for environmental variables exhibiting sporadic events characterized by substantial intensity variability. The methodology involves establishing a probability threshold to adapt the occurrence of rainfall events and employing a non-stationary theoretical and parametric quantile mapping to adjust associated biases. 

The dataset is part of the results obtained after the application of the methodology to daily rainfall projections from seven regional climatic models of the RCP 8.5 scenario spanning 2006-2100, alongside historical concurrent data from projections and observations spanning 1970-2005. 

Its efficacy is compared a widely used quantile mapping method, revealing notable differences in the performance of the methods concerning the distribution of rainfall events throughout the year and the behaviour of mean and extreme intensity values. The proposed method demonstrates promising potential in reducing uncertainty associated with systematic errors in inter-annual precipitation variability. This bears significance in evaluating hydrological responses and its associated impacts particularly in semi-arid mountainous basins.
DOI: 10.5281/zenodo.10829704
title: Dataset: A Non-Stationary Bias Adjustment Method for improving the Inter-annual Variability and Persistence of Projected Precipitation
title: Unbiased dataset of precipitation projections of rcp8.5 at Guadalfeo River basin (Andalusia)

description: This dataset includes: (1) unbiased data using a novel non-stationary bias adjustment methodology specifically tailored for environmental variables exhibiting sporadic events characterized by substantial intensity variability; (2) the parameters of the non-stationary probability distributions using marinetools.temporal. The methodology involves establishing a probability threshold to adapt the occurrence of precipitation events and employing a non-stationary theoretical and parametric quantile mapping to adjust associated biases.

The dataset is part of the results obtained after the application of the methodology to daily precipitation projections from seven regional climatic models of the RCP 8.5 scenario spanning 2006-2100, alongside historical concurrent data from projections and observations spanning 1970-2005.

Its efficacy is compared a widely used quantile mapping method, revealing notable differences in the performance of the methods concerning the distribution of events throughout the year and the behaviour of mean and extreme intensity values. The proposed method demonstrates promising potential in reducing uncertainty associated with systematic errors in inter-annual precipitation variability. This bears significance in evaluating hydrological responses and its associated impacts particularly in semi-arid mountainous basins.
DOI: 10.5281/zenodo.13830694
title: Dataset: A Non-Stationary Bias Adjustment Method for improving the Inter-annual Variability and Persistence of Projected Precipitation
title: Unbiased dataset of precipitation projections of rcp8.5 at Guadalfeo River basin (Andalusia)

description: This dataset includes: (1) unbiased data using a novel non-stationary bias adjustment methodology specifically tailored for environmental variables exhibiting sporadic events characterized by substantial intensity variability; (2) the parameters of the non-stationary probability distributions using marinetools.temporal. The methodology involves establishing a probability threshold to adapt the occurrence of precipitation events and employing a non-stationary theoretical and parametric quantile mapping to adjust associated biases.

The dataset is part of the results obtained after the application of the methodology to daily precipitation projections from seven regional climatic models of the RCP 8.5 scenario spanning 2006-2100, alongside historical concurrent data from projections and observations spanning 1970-2005.

Its efficacy is compared a widely used quantile mapping method, revealing notable differences in the performance of the methods concerning the distribution of events throughout the year and the behaviour of mean and extreme intensity values. The proposed method demonstrates promising potential in reducing uncertainty associated with systematic errors in inter-annual precipitation variability. This bears significance in evaluating hydrological responses and its associated impacts particularly in semi-arid mountainous basins.
DOI: 10.15468/dl.5apj9r
title: Occurrence Download

description: A dataset containing 703341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU.3_1",
 "OccurrenceStatus is Present",
 "Year 2014-2024"
 ]
}

 The dataset includes 703341 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002006-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vmzs7e
title: Occurrence Download

description: A dataset containing 2717 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Bougainvillea glabra Choisy"
 ]
}

 The dataset includes 2717 records from 219 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002012-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e209701
title: Cross-national differences in socioeconomic achievement inequality

description: This paper presents
comparative information on the strength of the association between
socioeconomic status (SES) and literacy skills at age 6-8, drawing on data from
France, Germany, Japan, the Netherlands, the United Kingdom, and the United
States. We investigate whether the strength of the association between SES and
literacy skills in early-to-mid childhood depends on the operationalization of
SES (parental education, income, or both); and whether differences in
inequalities at the end of lower secondary schooling documented in
international large-scale assessments are already present when children have
experienced at most two years of compulsory schooling. We find marked
differences in SES-related inequalities in early achievement across countries
that are largely insensitive to the way SES is measured, and that seem to
mirror inequalities reported for older students. We conclude that country
context shapes the link between parental SES and educational achievement, with
country differences rooted in the early childhood period.
DOI: 10.3886/e209701v1
title: Cross-national differences in socioeconomic achievement inequality

description: This paper presents
comparative information on the strength of the association between
socioeconomic status (SES) and literacy skills at age 6-8, drawing on data from
France, Germany, Japan, the Netherlands, the United Kingdom, and the United
States. We investigate whether the strength of the association between SES and
literacy skills in early-to-mid childhood depends on the operationalization of
SES (parental education, income, or both); and whether differences in
inequalities at the end of lower secondary schooling documented in
international large-scale assessments are already present when children have
experienced at most two years of compulsory schooling. We find marked
differences in SES-related inequalities in early achievement across countries
that are largely insensitive to the way SES is measured, and that seem to
mirror inequalities reported for older students. We conclude that country
context shapes the link between parental SES and educational achievement, with
country differences rooted in the early childhood period.
DOI: 10.15468/dl.mg9jsx
title: Occurrence Download

description: A dataset listing the 5 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Tetraonid line transect surveys from Norway: Data from Statskog"
 ]
}

 The dataset's 5 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002010-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xs4kw9
title: Occurrence Download

description: A dataset containing 55881 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Zoarces viviparus (Linnaeus, 1758), Zoarces Cuvier, 1829)"
 ]
}

 The dataset includes 55881 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002013-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r6hzzj
title: Occurrence Download

description: A dataset containing 5545 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Elodea densa (Planch.) Casp., Koenigia polystachya (Wall. ex Meisn.) T.M.Schust. & Reveal, Hydrocharis laevigata (Humb. & Bonpl. ex Willd.) Byng & Christenh.)",
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Unknown evidence, Machine Observation, Occurrence evidence)",
 "Year is greater than or equal to 1971",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5545 records from 350 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002014-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jkvv5r
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Acanthaspis cincticrus Stål, 1859"
 ]
}

 The dataset includes 70 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002016-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27301359
title: From macro to micro: prognostic mammography features predict tumor immune environment in breast cancer.

description: score of immune gene signatures for lead independent features among patients with breast cancer in the METABRIC and TCGA cohorts.
DOI: 10.6084/m9.figshare.27301359.v4
title: From macro to micro: prognostic mammography features predict tumor immune environment in breast cancer.

description: score of immune gene signatures for lead independent features among patients with breast cancer in the METABRIC and TCGA cohorts.
DOI: 10.6084/m9.figshare.27301359.v3
title: From macro to micro: prognostic mammography features predict tumor immune environment in breast cancer.

description: score of immune gene signatures for lead independent features among patients with breast cancer in the METABRIC and TCGA cohorts.
DOI: 10.15468/dl.pcqzpd
title: Occurrence Download

description: A dataset containing 1369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Tanzania, United Republic of",
 "Elevation 1000.0-9999.0m",
 "Geometry POLYGON((28.43035 -5.71783,38.59539 -8.89441,41.93079 -5.55901,41.77196 0.47649,32.71872 5.24135,33.17373 -2.11873,29.38332 -3.97072,28.43035 -5.71783))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "StateProvince is KILImANjARO REGION",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 1369 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002018-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4pf2nr
title: Occurrence Download

description: A dataset containing 1843 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Invasive Alien Species in Denmark"
 ]
}

 The dataset includes 1843 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002019-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6092/unibo/amsacta/7934
title: Data related to “In Silico Clinical Trial for osteoporosis treatments to prevent hip fractures: simulation of the placebo arm”

description: This dataset contains the characteristics of two synthetic cohorts of proximal femurs constructed via sampling a statistical anatomy atlas. These cohorts were used to simulate two In Silico Clinical Trial designed to replicate the placebo arm of as many concluded clinical trials described in literature (i.e. the LIFT study on teriparatide and FREEDOM study on Denosumab) to validate model’s ability to predict population-specific fracture incidence without treatment. Results in terms of fracture incidence are reported for each cohort.
DOI: 10.15468/dl.4aahrr
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Bombacopsis glabra (Pasq.) A.Robyns"
 ]
}

 The dataset includes 46 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002020-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a23vde
title: Occurrence Download

description: A dataset containing 1670 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "Country is Lebanon",
 "OccurrenceStatus is Present",
 "TaxonKey is Medicago L."
 ]
}

 The dataset includes 1670 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002021-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5959ck70
title: MassIVE MSV000096211 - NAD-supplementation enables late life dietary restriction to improve proteostasis, stem cells, and lifespan
title: Dietary restriction (DR) has long been recognized as one of the most effective interventions for extending both healthspan and lifespan across various species. However, its efficacy diminishes significantly when initiated later in life, and the underlying mechanisms responsible for this reduction remain elusive. In this study, we demonstrate that supplementation with nicotinamide riboside (NR), a precursor to NAD+, can restore the benefits of late-life DR. Notably, this combination (NRDR) is required to enhance hematopoietic stem cell function and doubles the effect of late life DR on lifespan extension, reaching an increase of 14.3% in total lifespan. Our findings reveal that NRDR is essential to counteract the decline in proteostasis, a hallmark of aging. This is achieved by reducing protein synthesis and translation error rates, while simultaneously promoting the clearance of protein damage and aggregates through ribophagy. Overall, our results underscore NRDR as a potent dietary intervention capable of enhancing stem cell function and extending lifespan, even when initiated at an advanced age.
DOI: 10.15468/dl.eb2ngg
title: Occurrence Download

description: A dataset containing 12972 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Pseudacris maculata (Agassiz, 1850))"
 ]
}

 The dataset includes 12972 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003760-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.erpdew
title: Occurrence Download

description: A dataset containing 255 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helobdella triserialis (Em.Blanchard, 1849)"
 ]
}

 The dataset includes 255 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003032-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ggof3b
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Gongora Ruiz & Pav."
 ]
}

 The dataset includes 123 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003031-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.slrm3v
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-161.14462 55.20186,-58.48837 55.20186,-58.48837 90.00000,-161.14462 90.00000,-161.14462 55.20186))",
 "HasCoordinate is true",
 "TaxonKey is Liocyma fluctuosa (A.Gould, 1841)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 79 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003034-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.