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

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptomeria japonica",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 218 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020184-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.swwb3u
title: Occurrence Download

description: A dataset containing 29954 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Magallana gigas",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 29954 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020185-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95fdg7
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Farsetia socotrana"
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020187-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73c59a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Panicum holubii, Panicum pyramidale, Panicum pyramidale hebetatum, Panicum pyramidale quadrifarium, Panicum pyramidale spadiceum, Panicum quadrifarium, Panicum setarioides, Panicum spadiciferum, Panicum spadiferum, Panicum spectabile guadeloupense)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020188-250711103210423/datasets/export for details.
DOI: 10.15468/dl.gqmeky
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Ammospiza leconteii)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020189-250711103210423/datasets/export for details.
DOI: 10.5281/zenodo.15923364
title: Recent evolution of the developing human small intestinal epithelium (fragment files)

description: This is the collection of scATAC-seq data fragment files for the manuscript titled as "Recent evolution of the developing human intestine affects metabolic and barrier functions" (Yu, Kilik, Secchia et al, 2025).

Human reference genome is hg38, and chimpanzee reference genome is panTro6.
DOI: 10.5281/zenodo.15923365
title: Recent evolution of the developing human small intestinal epithelium (fragment files)

description: This is the collection of scATAC-seq data fragment files for the manuscript titled as "Recent evolution of the developing human intestine affects metabolic and barrier functions" (Yu, Kilik, Secchia et al, 2025).

Human reference genome is hg38, and chimpanzee reference genome is panTro6.
DOI: 10.15468/dl.s5fz8m
title: Occurrence Download

description: A dataset containing 135722 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((-129.67 38.44,-114.54 38.44,-114.54 42.28,-129.67 42.28,-129.67 38.44))",
 "HasCoordinate is true",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 135722 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020101-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjedrp
title: Occurrence Download

description: A dataset containing 448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ficus tikoua)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 448 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020191-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fbdddz
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mugil cascasia"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020192-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r4hanv
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Goldbachia ikonnikovii"
 ]
}

 The dataset includes 15 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020190-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8rybc8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Endallex arundinacea, Endallex arundinaceae, Endallex arundinaceae, Phalaridantha arundinacea, Phalaridantha arundinacea variegata, Phalaridantha arundinacea variegata, Phalaris americana picta, Phalaris americana picta, Phalaris arundinacea arundinacea, Phalaris arundinacea coarctata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020193-250711103210423/datasets/export for details.
DOI: 10.15468/dl.845wmg
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erucastrum elgonense"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020194-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8977e8
title: Occurrence Download

description: A dataset containing 3593 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptomeria japonica",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3593 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020195-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15939751
title: 2025 Competition on Electric Energy Consumption Forecast Adopting Multi-criteria Performance Metrics

description:  

This dataset is the second release of data for the 2025 Competition on Electric Energy Consumption Forecast Adopting Multi-criteria Performance Metrics

The competition is open and welcomes everyone who wishes to participate and to anyone who can benefit from these data.

Competition Outline

Forecasting of electric energy consumption can be a very difficult tasks when handling building-level data. However, an accurate forecast is needed to boost the potential of energy management systems. The need to forecast energy consumption grows as our reliance on renewable energy sources, such as solar and wind power, grows. This means that to meet consumer demand with renewable energy generation, energy management systems must operate based on accurate energy forecasting models for both short and long-term periods. Energy consumption forecasting techniques that can manage a variety of scenarios, including varying prediction timeframes, accessible data, data frequency, and even data quality, have been the subject of intense research. There is no one-size-fits-all approach, where certain situations call for different approaches. The goal of this competition is to compile and evaluate the most recent advances in energy consumption forecasting techniques.

 

Releases Details



v1.0: one year of data from a smart building with readings taken every 5 minutes.

v2.0: 40 days of data from a smart building with readings taken every 5 minutes.

v3.x: a single day of data from a smart building with readings taken every hour. These releases will become available during the first competition period (from 06/01/2025 to 10/01/2025).

v4.x: a single day of data from a smart building with readings taken every hour. These releases will become available during the second competition period (from 14/07/2025 to 18/07/2025).


 

Dataset Description

All releases are composed of the following data:



Time: in hours and minutes

Power: in Watts

Voltage: in Volts

Current: in Ampers

Generation power: in Watts

Temperature: in ºC
description: The authors acknowledge the work facilities and equipment provided by GECAD research center (UIDB/00760/2020), DOI:10.54499/UIDB/00760/2020.
DOI: 10.15468/dl.p844rn
title: Occurrence Download

description: A dataset containing 111924 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidium draba"
 ]
}

 The dataset includes 111924 records from 1284 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020100-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1383857.10fu
title: SH1383857.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1383859.10fu
title: SH1383859.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1383861.10fu
title: SH1383861.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1383864.10fu
title: SH1383864.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1383866.10fu
title: SH1383866.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.6084/m9.figshare.31055530
title: The Living "Hard Drive": Data Storage Programmed by Protein-coding Genes

description: The sequencing, genomic information and test datasets of the work: The Living "Hard Drive": Data Storage Programmed by Protein-coding Genes
DOI: 10.6084/m9.figshare.31055530.v1
title: The Living "Hard Drive": Data Storage Programmed by Protein-coding Genes

description: The sequencing, genomic information and test datasets of the work: The Living "Hard Drive": Data Storage Programmed by Protein-coding Genes
DOI: 10.15156/bio/sh1383867.10fu
title: SH1383867.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1383868.10fu
title: SH1383868.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1383870.10fu
title: SH1383870.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.34740/kaggle/dsv/11964984
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.7910/dvn/niq5jy
title: PDB: 5GGR, Nivolumab Fab in complex with Programmed cell death protein 1, random seed 2 (PD-1) (298K, 25°C, 500 ns): RMSD, SASA, RMSF, Rg, H-bonds

description: Molecular Dynamics Simulations (500 nanoseconds) of Nivolumab Fab in complex with Programmed cell death protein 1 at 298K (25°C). Includes PDB files obtained every 50 ns and RMSD, SASA, RMSF, Rg, H-bonds
DOI: 10.15468/dl.r9seba
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)",
 "OccurrenceStatus is Present",
 "TaxonKey is Sympiezomias citri Chao, 1977"
 ]
}

 The dataset includes 91 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002730-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y5639m
title: Occurrence Download

description: A dataset containing 36817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36817 records from 429 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002729-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yprhug
title: Occurrence Download

description: A dataset containing 530948 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((139.80017 35.50557,139.89041 35.56799,139.9011 35.69928,139.81507 35.79656,139.71582 35.80302,139.5328 35.80724,139.52689 35.59048,139.62811 35.53903,139.80017 35.50557))"
 ]
}

 The dataset includes 530948 records from 375 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002728-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/h0muno
title: PDB: 5GGR, Nivolumab Fab in complex with Programmed cell death protein 1, random seed 3 (PD-1) (298K, 25°C, 500 ns): RMSD, SASA, RMSF, Rg, H-bonds

description: Molecular Dynamics Simulations (500 nanoseconds) of Nivolumab Fab in complex with Programmed cell death protein 1 at 298K (25°C). Includes PDB files obtained every 50 ns and RMSD, SASA, RMSF, Rg, H-bonds
DOI: 10.15468/dl.fe922k
title: Occurrence Download

description: A dataset containing 16386 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Christinus Wells & Wellington, 1984",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16386 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002732-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.4cok7e3h
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)