cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57907/mirri/tbfytp/fnmogj
title: MIRRI0048457.json

description: Strain json file
DOI: 10.57907/mirri/ujjg0h
title: MIRRI0046983

description: Organism type: Filamentous Fungi ; Taxon name: Entomophthora exitialis ; Collection: CBS 180.60
DOI: 10.57907/mirri/w2r89v
title: MIRRI0046988

description: Organism type: Filamentous Fungi ; Taxon name: Rigidoporus ulmarius ; Collection: CBS 186.60 ; Country: United States of America
DOI: 10.57907/mirri/zgffs7/xwejkj
title: MIRRI0048225.json

description: Strain json file
DOI: 10.57907/mirri/zsytwa/argwbp
title: MIRRI0047006.json

description: Strain json file
DOI: 10.3535/0gy-5nv-mwe
title: Daphne laureola L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1mm-z9w-bgn
title: Sulla coronaria (L.) B.H.Choi & H.Ohashi

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.57907/mirri/hs5kft/ubmrpf
title: MIRRI0048049.json

description: Strain json file
DOI: 10.57907/mirri/mbyieg
title: MIRRI0048070

description: Organism type: Filamentous Fungi ; Taxon name: Hypoxylon hypomiltum ; Collection: CBS 528.63 ; Country: United States of America
DOI: 10.57907/mirri/qarpig/k9athz
title: MIRRI0048057.json

description: Strain json file
DOI: 10.15468/dl.x93wuz
title: Occurrence Download

description: A dataset containing 46071 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 (Porphyrio porphyrio)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 46071 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061389-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/86q-fyx-rnb
title: Danthonia decumbens (L.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wbv-854-f3a
title: Lathyrus latifolius L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.57907/mirri/0eeefr/hmllx2
title: MIRRI0047147.json

description: Strain json file
DOI: 10.57907/mirri/0z7rih/klzsjn
title: MIRRI0048467.json

description: Strain json file
DOI: 10.15468/dl.t33fju
title: Occurrence Download

description: A dataset containing 4189 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aizoon canariense L."
 ]
}

 The dataset includes 4189 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015019-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e230902
title: COEP Replication Package for "The Impact of Renter Protection Policies on Rental Housing Discrimination"

description: This is the replication file for the paper "The Impact of Renter Protection Policies on Rental Housing Discrimination." In the paper, we examine the impact of a
policy that reduces information about rental housing applicants on racial
discrimination. We submitted fictitious email inquiries to publicly advertised
rentals using names manipulated on perceived race and ethnicity before and
after a policy that restricted the use of background checks, eviction history,
income minimums, and credit history in rental housing applications in
Minneapolis. After the policy was implemented, discrimination against African
American and Somali American men increased. Triple difference analysis shows
that discrimination increased in Minneapolis relative to St. Paul after the
policy.
description: No weights were used in data collection or analysis.
description: Response Rates: We sent email inquiries from fictitious applicants to real landlords in Minneapolis and St. Paul who posted vacancies for their rental units online and tracked how the landlords repsonded. The response rate is not applicable in this style of experiment, because if a landlord did not respond to our email inquiry they were coded as not responding positively.
description: Presence of Common Scales: We track which applicants the landlords respond to
positively (e.g., offers to show the property).
description: To
send an inquiry, the research assistants (RAs) identified housing ads on
Craigslist that included enough information to identify the city in which the
apartment was located. For each ad that met the eligibility criteria, the RAs
sent randomized emails to the landlord from fictitious applicants. The name
used to respond to each ad was selected randomly by the Python program;
importantly, the RAs did not select the names to use nor did they select a
subset of ads within those determined to be eligible.
description: We sent email inquiries from fictitious applicants
to real landlords in Minneapolis and St. Paul who posted vacancies for their
rental units online. Smallest Geographic Unit: Apartment units, Census tract
description: other;
DOI: 10.3886/e230902v1
title: COEP Replication Package for "The Impact of Renter Protection Policies on Rental Housing Discrimination"

description: This is the replication file for the paper "The Impact of Renter Protection Policies on Rental Housing Discrimination." In the paper, we examine the impact of a
policy that reduces information about rental housing applicants on racial
discrimination. We submitted fictitious email inquiries to publicly advertised
rentals using names manipulated on perceived race and ethnicity before and
after a policy that restricted the use of background checks, eviction history,
income minimums, and credit history in rental housing applications in
Minneapolis. After the policy was implemented, discrimination against African
American and Somali American men increased. Triple difference analysis shows
that discrimination increased in Minneapolis relative to St. Paul after the
policy.
description: No weights were used in data collection or analysis.
description: Response Rates: We sent email inquiries from fictitious applicants to real landlords in Minneapolis and St. Paul who posted vacancies for their rental units online and tracked how the landlords repsonded. The response rate is not applicable in this style of experiment, because if a landlord did not respond to our email inquiry they were coded as not responding positively.
description: Presence of Common Scales: We track which applicants the landlords respond to
positively (e.g., offers to show the property).
description: To
send an inquiry, the research assistants (RAs) identified housing ads on
Craigslist that included enough information to identify the city in which the
apartment was located. For each ad that met the eligibility criteria, the RAs
sent randomized emails to the landlord from fictitious applicants. The name
used to respond to each ad was selected randomly by the Python program;
importantly, the RAs did not select the names to use nor did they select a
subset of ads within those determined to be eligible.
description: We sent email inquiries from fictitious applicants
to real landlords in Minneapolis and St. Paul who posted vacancies for their
rental units online. Smallest Geographic Unit: Apartment units, Census tract
description: other;
DOI: 10.15468/dl.quc5a5
title: Occurrence Download

description: A dataset containing 343 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidium virginicum L."
 ]
}

 The dataset includes 343 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015017-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cge7m7
title: Occurrence Download

description: A dataset containing 15917 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Datos de ocurrencia de triatominos presentes en Argentina del Laboratorio de Triatominos del CEPAVE (CONICET-UNLP)"
 ]
}

 The dataset includes 15917 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015020-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbayfy
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peromyscus simulus Osgood, 1904",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015021-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n35wj8
title: Occurrence Download

description: A dataset containing 9165 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 9165 records from 293 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015023-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rwku4t
title: Occurrence Download

description: A dataset containing 212871 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scaptomyza flava (Fallén, 1823), Osmia taurus Smith, 1873, Pontia edusa (Fabricius, 1777), Lasioglossum laticeps (Schenck, 1870), Euproctis varians (Walker, 1855), Autographa biloba Stephens, 1832, Phyllotreta atra (Fabricius, 1775), Maladera castanea (Arrow, 1913), Chrysodeixis eriosoma (Doubleday, 1843), Euxoa auxiliaris Grote, 1873, Parmarion martensi Simroth, 1893, Tenebrio molitor Linnaeus, 1758, Fasciola hepatica Linnaeus, 1758, Bagrada hilaris (Burmeister, 1835), Anser erythropus (Linnaeus, 1758), Cotesia vestalis (Haliday, 1834), Cotesia rubecula (Marshall, 1885), Cotesia glomerata (Linnaeus, 1758), Nysius huttoni White, 1878, Semnopithecus johnii (J.Fischer, 1829), Thrips angusticeps Uzel, 1895, Graphium putredinis (Corda) S.Hughes, Cephalotrichum purpureofuscum (S.Hughes) S.Hughes, Ctenomyces serratus Eidam, Pyxidiophora petchii (Breton & Faurel) N.Lundq., Gibberella cyanogena (Desm.) Sacc., Olpidium brassicae (Woronin) P.A.Dang., Glennia pylotis (Godart, 1819), Dendryphion nanum (Nees) S.Hughes, Nectria brassicae Ellis & Sacc., Stephanonectria keithii (Berk. & Broome) Schroers & Samuels, Amauris tartarea Mabille, 1876, Leptophobia eleone (Doubleday, 1847), Dysdercus cingulatus (Fabricius, 1775), Pontia daplidice (Linnaeus, 1758), Escherichia coli_E, Cochylis epilinana Duponchel, 1842, Leofa dispar (Theron, 1982), Pravistylus africanus (Naudé, 1926), Kolla tawaula Young, 1986, Hebata punjabensis punjabensis, Dictyotus caenosus (Westwood, 1837), Novisuccinea lyrata (A.Gould, 1859), Belenois zochalia (Boisduval, 1836), Melanchra picta Harris, 1841, Andrena piperi Viereck, 1904, Phyllophaga fusca (Frölich, 1792), Ceutorhynchus napi Koch, Farooqiella kashmiriensis Jamal Ahmad, 2005, Euplectrus indicus Ferriere, 1941)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 212871 records from 1529 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015016-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ncft99
title: Occurrence Download

description: A dataset containing 804 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Scaptotrigona hellwegeri",
 "Year 1960-2025"
 ]
}

 The dataset includes 804 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012236-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y96xyh
title: Occurrence Download

description: A dataset containing 35491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caudofoveata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((0 60,30 60,30 90,0 90,0 60))"
 ]
}

 The dataset includes 35491 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012237-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1254332.10fu
title: SH1254332.10FU

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/sh1254338.10fu
title: SH1254338.10FU

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/sh1254340.10fu
title: SH1254340.10FU

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/sh1254345.10fu
title: SH1254345.10FU

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/sh1254346.10fu
title: SH1254346.10FU

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/sh1254348.10fu
title: SH1254348.10FU

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/sh1254350.10fu
title: SH1254350.10FU

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/sh1254352.10fu
title: SH1254352.10FU

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.29559617
title: waterinfections_2023.csv

description: Results of an experiment in which various resistotypes of Daphnia magna were exposed to water collected from a field site each week over the course of a summer to detect infectivity of the water with Pastueria ramosa
DOI: 10.15156/bio/sh1254360.10fu
title: SH1254360.10FU

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.29559617.v1
title: waterinfections_2023.csv

description: Results of an experiment in which various resistotypes of Daphnia magna were exposed to water collected from a field site each week over the course of a summer to detect infectivity of the water with Pastueria ramosa