cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.lbe1ec
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eupatorium hyssopifolium L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 149 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000777-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/whit-c170-37604
title: Scene of accident near Montebello, A.G. Warren assured, Southern California, 1933

description: 3 photographs of road, Southern California, 1933. "Subject: scene of accident near Montebello, A.G. Warren assured; Client: J.P. McHale Co. , Mr. Folger; Original Print Order: 2 ea[ch]; Size: 8x10; Finish: gl[ossy]; Re-Order: enlarge #1; see Joe; Year: 1933; Job: 8-21-71" --on envelope front. "Operator's Report Name: Dean; 3--8x10; Amount: 8.00" --on envelope back.
DOI: 10.25549/whit-c170-97985
title: Construction at Yale & Figueroa, Los Angeles, 1941

description: 3 photographs of concrete pours using mixer trucks, dump trucks, and an on-site concrete mixing machine, Los Angeles, CA, 1941. "Subject: Construction at Yale & Figueroa." "Client: Consolidated Rock Co[mp[any], Walter Good; Original print order: 1 ea[ch]; Size: 8x10; Finish: gl[ossy]; Re-order: 3 #1; Size: 8x10; Finish: gl[ossy]; 1 #1; Finish: gl[ossy] as per sample; Year: 1941; Job no. 111-13-71" -- on envelope front. "Operator's report -- name: Carter; 4 original photographs -- Size 8x10; ext[eriors]; In city; Amount: [crossed out] 16.50; 14.50" -- on envelope back. "Thurs[day], meet Mr. Stewart; Job: 1 shot of construction job, usual shot" -- on job card.
DOI: 10.15468/dl.hcheyo
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is China",
 "Country is Chinese Taipei",
 "Country is Hong Kong"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Panthera Oken, 1816",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 38 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000777-170627171947987/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/whit-c170-37734
title: Ralph Burdick, cripple with dog, Southern California, 1933 [image]

description: Photograph of Ralph Burdick, cripple with dog, Southern California, 1933. "Ladies' Home Journal, The Saturday Evening Post, The Country Gentlem[an]" -- on bag. "The Saturday Even[ing P]ost, Aug[ust] 5, [19]33; Session; In M[ilg] Air And Craft; Abolisher; Collapses" -- on newspapers. "Express, Special Newsboy; 225 Los Angeles" -- on dog's badges. "United States Rubber Company" -- on tire.
DOI: 10.15468/dl.ssnaxc
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tripleurospermum melanolepis (Boiss. & Buhse) Pobed."
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000777-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/whit-c170-112937
title: UCLA 14 vs Washington 10, Los Angeles, Calif., 1942

description: 3 photographs of a football game between the University of California, Los Angeles, and the University of Washington in the Los Angeles Memorial Coliseum, Los Angeles, California, 1942 November 21. Editor's note: the photographer's job number indicates a date of November 23.
DOI: 10.25549/whit-c170-36469
title: Portrait of Dorothy DeCou, Southern California, 1933

description: 5 photographic portraits of Dorothy DeCou for Palmolive, Southern California, 1933. "Subject: Portrait of Dorothy DeCou; Agency: Lord & Thomas; Client: Palmolive; Original print order: 1 ea[ch], 8A, 8D; Size: 8x10; Finish: gl[ossy]; Year: 1933; Job: 7-8-57" -- on envelope.
DOI: 10.15468/dl.jx53f0
title: Occurrence Download

description: A dataset containing 78746 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "DecimalLatitude is greater than 36.1114419947181",
 "DecimalLatitude is less than 37.4200207665054",
 "DecimalLongitude is greater than -119.208080232653",
 "DecimalLongitude is less than -118.009601631904"
 ]
}

 The dataset includes 78746 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000777-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/whit-c170-112823
title: Launching USS Island, Los Angeles County, Calif., 1942

description: 2 photographs of the launch of a ship from a Los Angeles harbor, Los Angeles County, California, November 10. Editor's note: neither the date nor the name of the ship has been verified. However, the surroundings of the ship resemble the venue of the California Shipbuilding Corporation active at the time on Terminal Island.
DOI: 10.15468/dl.7o9ni3
title: Occurrence Download

description: A dataset containing 382569 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Juniperus L."
 ]
}

 The dataset includes 382569 records from 675 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000777-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7u4vrc
title: Occurrence Download

description: A dataset containing 546 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus rehderiana"
 ]
}

 The dataset includes 546 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004238-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ebxfu
title: Occurrence Download

description: A dataset containing 1428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panthera onca",
 "Country is Mexico",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Unknown evidence)"
 ]
 }
 }
 ]
}

 The dataset includes 1428 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004239-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/16woaq
title: train-bch-31-21-ml-is-4M-3dB.mat

description: (31,21,5) BCH code, 4M MLD error patterns obtained by importance sampling simulation at Eb/N0=3dB (sampling method 3 in the paper )
DOI: 10.57745/nzisxj
title: train-bch-31-21-ml-16M-3dB.mat

description: (31,21,5) BCH code, 16M MLD error patterns collected from standard Monte-Carlo simulation at Eb/N0=3dB (sampling method 2 in the paper)
DOI: 10.57745/91ownj
title: train-bch-31-21-ml-uni-synd-4M-3dB.mat

description: (31,21,5) BCH code, 4M MLD error patterns collected from standard Monte-Carlo simulation at Eb/N0=3dB, with the additional constraint that non-zero syndrome values have uniform distribution in the dataset (sampling method 4 in the paper)
DOI: 10.57745/fs56ku
title: train-bch-63-45-ml-64M-2B.mat

description: (63,45,7) BCH code, 64M MLD error patterns collected from standard Monte-Carlo simulation at Eb/N0=2dB (sampling method 2 in the paper)
DOI: 10.57745/y4e6r9
title: train-bch-63-45-ml-uni-synd-32M-2B.mat

description: (63,45,7) BCH code, 32M MLD error patterns collected from standard Monte-Carlo simulation at Eb/N0=2dB, with the additional constraint that non-zero syndrome values have uniform distribution in the dataset (sampling method 4 in the paper)
DOI: 10.57745/fwc3g1
title: train-bch-63-45-ml-is-32M-2B.mat

description: (63,45,7) BCH code, 32M MLD error patterns obtained by importance sampling simulation at Eb/N0=2dB (sampling method 3 in the paper )
DOI: 10.57745/fwe4fb
title: Optimized datasets for syndrome-based neural decoders training

description: Some of the datasets used to produce the results presented in the IEEE ICMLCN 2025 paper “Doing More With Less: Towards More Data-Efficient Syndrome-Based Neural Decoders“ (available here). Owing to storage limitations, only selected datasets for the (31,21,5) and (63,45,7) BCH codes are provided, in the form of MATLAB MAT files.
DOI: 10.5281/zenodo.17457170
title: Ethos+Tekhne Feedback surveys

description: Here we report the feedback surveys, the anonymous answers on the ratings of the initiative in its first two editions (Pisa, Italy, 2023, and Paris, France, 2026), and the Python script to create figures 2 and 3.
DOI: 10.5281/zenodo.17457171
title: Ethos+Tekhne Feedback surveys

description: Here we report the feedback surveys, the anonymous answers on the ratings of the initiative in its first two editions (Pisa, Italy, 2023, and Paris, France, 2026), and the Python script to create figures 2 and 3.
DOI: 10.15468/dl.egaagr
title: Occurrence Download

description: A dataset containing 472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tiarella polyphylla D.Don",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 472 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005968-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fdxzmr
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bolivia (Plurinational State of)",
 "TaxonKey is Philodryas varia (Jan, 1863)"
 ]
}

 The dataset includes 22 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0200092-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3eude
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Artabotrys ochropetalus I.M.Turner"
 ]
}

 The dataset includes 64 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015286-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jryhcm
title: Occurrence Download

description: A dataset containing 5590313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5590313 records from 1454 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0200080-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.te1tfa
title: Occurrence Download

description: A dataset containing 579 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eragrostis unioloides (Retz.) Nees ex Steud.",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 579 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050379-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7tch7b
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Artabotrys oliganthus Engl. & Diels"
 ]
}

 The dataset includes 200 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015291-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxx2ax
title: Occurrence Download

description: A dataset containing 6781 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chamaecyparis lawsoniana (A.Murray bis) Parl.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6781 records from 210 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142316-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1103221.10fu
title: SH1103221.10FU

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/sh1103225.10fu
title: SH1103225.10FU

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/sh1103226.10fu
title: SH1103226.10FU

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/sh1103231.10fu
title: SH1103231.10FU

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/sh1103240.10fu
title: SH1103240.10FU

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/sh1103248.10fu
title: SH1103248.10FU

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/sh1103253.10fu
title: SH1103253.10FU

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/sh1103255.10fu
title: SH1103255.10FU

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/sh1103256.10fu
title: SH1103256.10FU

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.