cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26030184
title: Reliability assessment of PV location based on a new coordination and failure rates of protection relays to minimize indices energy

description: Protection relays are crucial to analyzing how photovoltaic (PV) systems improve network dependability during disturbances. Thus, an in-depth analysis is performed to determine how PV integration affects the nominal load current of the medium voltage (MV) line. This analysis helps determine appropriate pickup currents in overcurrent (OC) relay protection systems. This requires careful relay operation times, exact estimations of the highest and lowest short-circuit values, and methods to mitigate the impact of interfacing inverters across PV penetration levels. In energy indices calculation, a final study proposes new restrictions coordination between OC relay and PV in-feed current protection. A method for computing the energy not supplied (ENS) metric takes into account the harmonized operation of principal and secondary OC relays and PV system current-based protective actions at their connection points. The simulations have shown that the proposed method is better at lowering the ENS's yearly value than the standard method, which includes PV. Consequently, the reliability indices will reach the minimum value and to showcase the efficacy and precision of the provided analysis, the ETAP software program is utilized as a demonstrative tool. Without failure rate modification, the EENS is 144643.500 MWh/year, and the ENS is 478.155 h/year. After PV integration, bus failure rates dropped 35% compared to the relay coordination situation. As a result, the EENS equals 158435.755 MWh/year, and the suggested method lowers the ENS's annual weight by 47.5% compared to the conventional way.
DOI: 10.6084/m9.figshare.26030184.v1
title: Reliability assessment of PV location based on a new coordination and failure rates of protection relays to minimize indices energy

description: Protection relays are crucial to analyzing how photovoltaic (PV) systems improve network dependability during disturbances. Thus, an in-depth analysis is performed to determine how PV integration affects the nominal load current of the medium voltage (MV) line. This analysis helps determine appropriate pickup currents in overcurrent (OC) relay protection systems. This requires careful relay operation times, exact estimations of the highest and lowest short-circuit values, and methods to mitigate the impact of interfacing inverters across PV penetration levels. In energy indices calculation, a final study proposes new restrictions coordination between OC relay and PV in-feed current protection. A method for computing the energy not supplied (ENS) metric takes into account the harmonized operation of principal and secondary OC relays and PV system current-based protective actions at their connection points. The simulations have shown that the proposed method is better at lowering the ENS's yearly value than the standard method, which includes PV. Consequently, the reliability indices will reach the minimum value and to showcase the efficacy and precision of the provided analysis, the ETAP software program is utilized as a demonstrative tool. Without failure rate modification, the EENS is 144643.500 MWh/year, and the ENS is 478.155 h/year. After PV integration, bus failure rates dropped 35% compared to the relay coordination situation. As a result, the EENS equals 158435.755 MWh/year, and the suggested method lowers the ENS's annual weight by 47.5% compared to the conventional way.
DOI: 10.15468/dl.qwr5f2
title: Occurrence Download

description: A dataset containing 1367056705 species occurrences available in GBIF matching the query:
{
 "Year" : [
 "1000-2018"
 ]
}

 The dataset includes 1367056705 records from 21384 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0235708-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qj7jwj
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Casuarina equisetifolia",
 "Country is Nicaragua",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078124-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.83a2s2
title: Occurrence Download

description: A dataset containing 560 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamopyrgus antipodarum",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 560 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078126-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1409135.10fu
title: SH1409135.10FU

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/sh1409140.10fu
title: SH1409140.10FU

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/sh1409144.10fu
title: SH1409144.10FU

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/sh1409145.10fu
title: SH1409145.10FU

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/sh1409146.10fu
title: SH1409146.10FU

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/sh1409148.10fu
title: SH1409148.10FU

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/sh1409150.10fu
title: SH1409150.10FU

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/sh1409151.10fu
title: SH1409151.10FU

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: 10.15468/dl.x76i7f
title: Occurrence Download

description: A dataset containing 1237 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Pennisetum ciliare (L.) Link",
 "TaxonKey is Cenchrus ciliaris L."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "EventDate is greater than or equal to 1950-01-01",
 {
 "or" : [
 "Issue is Country coordinate mismatch",
 "Issue is Continent country mismatch",
 "Issue is Coordinate invalid",
 "Issue is Coordinate reprojection failed",
 "Issue is Presumed negated latitude",
 "Issue is Taxon match higher rank",
 "Issue is Coordinate out of range",
 "Issue is Country invalid",
 "Issue is Coordinate reprojection suspicious",
 "Issue is Presumed negated longitude",
 "Issue is Recorded date invalid",
 "Issue is Taxon match none",
 "Issue is Taxon match fuzzy",
 "Issue is Continent invalid",
 "Issue is Zero coordinate",
 "Issue is Geodetic datum invalid",
 "Issue is Country mismatch",
 "Issue is Presumed swapped coordinate",
 "Issue is Coordinate rounded"
 ]
 }
 ]
}

 The dataset includes 1237 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003932-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mloktv
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lymantria dispar Linnaeus, 1758",
 "Geometry POLYGON((63.54 3.78,63.54 61.31,173.76 61.31,173.76 3.78,63.54 3.78))",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "BasisOfRecord is Fossil",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Unknown evidence",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Specimen"
 ]
 }
 ]
}

 The dataset includes 78 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002928-150912100344238/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4222vr
title: Occurrence Download

description: A dataset containing 3018 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Otaria flavescens (Shaw, 1800)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3018 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065504-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.756ihb
title: Occurrence Download

description: A dataset containing 16463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoca vitulina Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16463 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064888-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9k09pa
title: Occurrence Download

description: A dataset containing 3583 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erignathus barbatus (Erxleben, 1777)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3583 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065505-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzbo1a
title: Occurrence Download

description: A dataset containing 30442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leptonychotes weddellii (Lesson, 1826)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 30442 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072229-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hjk8gi
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arctocephalus australis (Zimmermann, 1783)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 67 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064885-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.i7ffxl
title: Occurrence Download

description: A dataset containing 2227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eumetopias jubatus (Schreber, 1776)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2227 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068708-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.js6xdp
title: Occurrence Download

description: A dataset containing 778 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Mirounga angustirostris (Gill, 1866)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 778 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003187-171113114016250/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lykbg5
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cystophora cristata (Erxleben, 1777)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 91 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065506-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dhac5
title: Occurrence Download

description: A dataset containing 39991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crambe maritima L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 39991 records from 221 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079026-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.snebad
title: Occurrence Download

description: A dataset containing 5394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pusa hispida (Schreber, 1775)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5394 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064883-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wgtv3s
title: Occurrence Download

description: A dataset containing 13658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Halichoerus grypus (Fabricius, 1791)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13658 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064884-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xagfre
title: Occurrence Download

description: A dataset containing 7408 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zalophus californianus (Lesson, 1828)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7408 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072274-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kug2tk
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Sweden",
 "Country is Spain"
 ]
 },
 "TaxonKey is Salvia hispanica L."
 ]
}

 The dataset includes 126 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008995-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chiubr
title: Occurrence Download

description: A dataset containing 247231174 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plantae"
 ]
}

 The dataset includes 247231174 records from 3562 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005966-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14872317
title: ASA Real Fake Dataset