cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29452661.v1
title: Data dictionary and dataset for SARS-CoV-2 serology paper on REVAMP trial during pregnancy

description: Data used for the evaluation of antibody (IgG) responses of participants of the REVAMP trial towards SARS-CoV-2 antigens. Control antigens were also measured and include Tetanus toxoid, four seasonal Coronaviruses, and Influenza A.The dataset contains all baseline and delivery data for the participants as well as serological and derived variables used for the analysis.
DOI: 10.3535/z5a-n4t-9sr
title: Guapira pernambucensis (Casar.) Lundell

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.cvw8ag
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erigeron canadensis",
 "Country is Algeria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003568-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.huj9r2
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erigeron canadensis",
 "Country is Albania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003567-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g4nyt3
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-83.20537 8.86887,-83.25221 8.81533,-83.17382 8.76466,-83.13462 8.81341,-83.20537 8.86887))",
 "OccurrenceStatus is Present",
 "TaxonKey is Guatteria reinaldii"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003569-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxrkjc
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passiflora apetala",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 142 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003571-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/eff-elv-134
title: Guapira opposita (Vell.) Reitz

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.tkk48b
title: Occurrence Download

description: A dataset containing 4293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ophiothrix spiculata"
 ]
}

 The dataset includes 4293 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003570-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qt5neg
title: Occurrence Download

description: A dataset containing 637 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-99.11752 19.23793,-99.05592 19.23934,-99.01086 19.23793,-99.01086 19.32368,-99.12672 19.33136,-99.12996 19.33157,-99.11746 19.31123,-99.11752 19.23793))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 637 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003572-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/pkl-d73-zyk
title: Guapira opposita (Vell.) Reitz

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.g7dsq5
title: Occurrence Download

description: A dataset containing 2727 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erigeron canadensis",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2727 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003573-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/jwatdz
title: example_10

description: A simulated neural recording used to test our clustering algorithm
DOI: 10.5281/zenodo.14275644
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: 10.5281/zenodo.16061225
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: 10.3535/2yy-3ng-e3b
title: Didymosphaeria decolorans Rehm

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.sk2bex
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003574-250717081556266/datasets/export for details.
DOI: 10.15468/dl.kkk4uh
title: Occurrence Download

description: A dataset containing 326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erigeron canadensis",
 "Country is Belarus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 326 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003576-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.suv7va
title: Occurrence Download

description: A dataset containing 236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passiflora caerulea",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 236 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003577-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fspkn7
title: Occurrence Download

description: A dataset containing 34412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pocillopora damicornis"
 ]
}

 The dataset includes 34412 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003575-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/t4p-3wl-r6w
title: Ceratocystis musarum Riedl

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.fmrxer
title: Occurrence Download

description: A dataset containing 453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passiflora caerulea",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 453 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003578-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttwp7u
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Trimerotropis whitei"
 ]
}

 The dataset includes 40 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003579-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/d80-8ef-jgw
title: Taxus baccata L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.r5ejsw
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erigeron canadensis",
 "Country is Belize",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003581-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4388b
title: Occurrence Download

description: A dataset containing 286 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Petrolisthes elongatus",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 286 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003582-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/thj-va6-6qy
title: Rumex alpinus L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.rprxgf
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passiflora mixta",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 125 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003584-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.htf5x9
title: Occurrence Download

description: A dataset containing 3395422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae, Undaria pinnatifida)",
 "Country is New Zealand",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 0",
 "DecimalLongitude is greater than or equal to -180",
 "DecimalLatitude is greater than or equal to -90",
 {
 "not" : {
 "or" : [
 "Issue is Zero coordinate",
 "Issue is Coordinate out of range",
 "Issue is Country coordinate mismatch"
 ]
 }
 }
 ]
}

 The dataset includes 3395422 records from 285 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003542-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yakhmz
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003585-250717081556266/datasets/export for details.
DOI: 10.15468/dl.6c3v4k
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erigeron canadensis",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 149 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003586-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3gvts7
title: Occurrence Download

description: A dataset containing 354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passiflora tarminiana",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 354 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003587-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5nve22
title: Occurrence Download

description: A dataset containing 293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passiflora tarminiana",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 293 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003588-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.czcrgg
title: Occurrence Download

description: A dataset containing 1127041 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 (Icterus spurius)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 1127041 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003555-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gw6ymd
title: Occurrence Download

description: A dataset containing 124646 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 (Icterus spurius)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 124646 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003557-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1395514.10fu
title: SH1395514.10FU

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/sh1395515.10fu
title: SH1395515.10FU

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/sh1395517.10fu
title: SH1395517.10FU

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.