cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/nb7-v5k-10x
title: Spiroloculina excavata d'Orbigny, 1846

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/901-gwa-nmm
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5517/cc5w4tz
title: CCDC 175051: Experimental Crystal Structure Determination

description: Related Article: YooJin Kim, Duk-Young Jung|2002|Chem.Commun.||908|doi:10.1039/b200658h
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5xqmd
title: CCDC 176564: Experimental Crystal Structure Determination

description: Related Article: J.K.Brask, V.Dura-Vila, P.L.Diaconescu, C.C.Cummins|2002|Chem.Commun.||902|doi:10.1039/b111550m
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5w4v0
title: CCDC 175052: Experimental Crystal Structure Determination

description: Related Article: YooJin Kim, Duk-Young Jung|2002|Chem.Commun.||908|doi:10.1039/b200658h
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5b1xf
title: CCDC 158624: Experimental Crystal Structure Determination

description: Related Article: J.-M.Rueff, S.Pillet, N.Claiser, G.Bonaventure, M.Souhassou, P.Rabu|2002|Eur.J.Inorg.Chem.|2002|895|doi:10.1002/1099-0682(200203)2002:4<895::AID-EJIC895>3.0.CO;2-Z
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.vq26kb
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Indonesia",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Loriculus galgulus"
 ]
}

 The dataset includes 34 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012471-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n3rdv2
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Monoplacophora)",
 "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((-60 30,-30 30,-30 60,-60 60,-60 30))"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012472-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6puzy
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eudyptes moseleyi Mathews & Iredale, 1921",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 169 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007360-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27932022
title: Supplementary Dataset for "Predicting dissolved black carbon concentration from chromophoric dissolved organic matter absorption along the land-ocean continuum: machine learning versus linear regression"

description: This dataset contains the dissolved black carbon and UV-Vis light absorption data at 254 nm and 260-600 nm of 608 samples. The sample types covered the land-to-ocean continuum, including reservoirs, rivers, estuaries, porewater, coastal seas and open ocean.
DOI: 10.17632/fh8kkh5nf7.1
title: Replication Materials for Ownership Chains in Multinational Enterprises

description: This replication package contains all the Stata codes used to replicate the empirical analysis in the paper "Ownership Chains in Multinational Enterprises". The materials include a series of .do files that reproduce the key results, figures, and tables presented in the manuscript. A README file is provided to guide users through the replication process, describing the structure and purpose of each script, as well as the main variables of interest used in the analysis.
DOI: 10.6084/m9.figshare.27932022.v2
title: Supplementary Dataset for "Predicting dissolved black carbon concentration from chromophoric dissolved organic matter absorption along the land-ocean continuum: machine learning versus linear regression"

description: This dataset contains the dissolved black carbon and UV-Vis light absorption data at 254 nm and 260-600 nm of 608 samples. The sample types covered the land-to-ocean continuum, including reservoirs, rivers, estuaries, porewater, coastal seas and open ocean.
DOI: 10.15156/bio/sh1374151.10fu
title: SH1374151.10FU

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/sh1374152.10fu
title: SH1374152.10FU

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/sh1374153.10fu
title: SH1374153.10FU

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/sh1374154.10fu
title: SH1374154.10FU

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/sh1374156.10fu
title: SH1374156.10FU

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/sh1374157.10fu
title: SH1374157.10FU

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/sh1374158.10fu
title: SH1374158.10FU

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/sh1374159.10fu
title: SH1374159.10FU

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/sh1374160.10fu
title: SH1374160.10FU

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: 10.3535/68x-d93-mzp
title: Erica rupicola Klotzsch

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/psh-t4b-l22
title: Lasiacis ligulata Hitchc. & Chase

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/k1z-00z-hqc
title: Erica sitiens Klotzsch

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vdv-rj1-bye
title: Erica xeranthemifolia Salisb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kw2-5b1-1kk
title: Erica urceolata (Klotzsch) E. G. H. Oliv.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ssv-grq-2ta
title: Astragalus lycius Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fxj-j8r-0qf
title: Lasiacis anomala Hitchc.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mmb-e2c-d5y
title: Erica plumosa Thunb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr30082
title: National Corrections Reporting Program, 2008
title: Archival Version

description: The National Corrections Reporting Program gathers data on prisoners entering and leaving the custody or supervision of state and federal authorities. The dataset is comprised of four types of data: prisoners who were admitted to prison (Part 1), released from prison (Part 2), released from parole (Part 3), or in prison at year end (Part 4). The National Prison Statistics (NPS) program was established in 1926 by the Bureau of the Census in response to a congressional mandate to compile national information on the populations confined in correctional institutions. This program described the characteristics and counts of prison inmates during each calendar year. Since its initiation, responsibility for this program has shifted among several agencies -- in 1950 it was transferred to the Federal Bureau of Prisons and to the Law Enforcement Assistance Administration in 1971. Since 1972, the Bureau of Census, under agreement with the Department of Justice, has had responsibility for compiling the statistical data. Census staff negotiates directly with each state, assembles and edits the data, and prepares the data for analysis and publication.
description: Datasets: DS0: Study-Level Files DS1: Prison Admissions Data DS2: Prison Releases Data DS3: Parole Releases Data DS4: Prison Year End Population Data
description: All persons admitted to prison, released from prison, discharged from parole, or in prison at year end in 2008 in the United States.
description: mail questionnaire
DOI: 10.3535/y8v-nl8-vfx
title: Anthosachne scabra (R.Br.) Nevski

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zbq-qm4-nh4
title: Erica setosa Bartl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr30799
title: National Corrections Reporting Program, 2009
title: Archival Version

description: The National Corrections Reporting Program gathers data on prisoners entering and leaving the custody or supervision of state and federal authorities. The dataset is comprised of four types of data: prisoners who were admitted to prison (Part 1), released from prison (Part 2), released from parole (Part 3), or in prison at year end (Part 4). The National Prison Statistics (NPS) program was established in 1926 by the Bureau of the Census in response to a congressional mandate to compile national information on the populations confined in correctional institutions. This program described the characteristics and counts of prison inmates during each calendar year. Since its initiation, responsibility for this program has shifted among several agencies -- in 1950 it was transferred to the Federal Bureau of Prisons and to the Law Enforcement Assistance Administration in 1971. Since 1972, the Bureau of Census, under agreement with the Department of Justice, has had responsibility for compiling the statistical data. Census staff negotiates directly with each state, assembles and edits the data, and prepares the data for analysis and publication.
description: Datasets: DS0: Study-Level Files DS1: Prison Admissions Data DS2: Prison Releases Data DS3: Parole Releases Data DS4: Prison Year End Population Data
description: All persons admitted to prison, released from prison, discharged from parole, or in prison at year end in 2009 in the United States. Smallest Geographic Unit: counties
description: mail questionnaire
DOI: 10.3535/r8y-57y-15v
title: Eremopyrum orientale (L.) Jaub. & Spach

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wz2-s5g-afm
title: Erica polifolia var. augustata Bolus

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1jj-e6z-rzv
title: Ctenium planifolium (J.Presl) Kunth

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/98q-ctv-qhq
title: Eragrostis japonica (Thunb.) Trin.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xh9-hbs-m5x
title: Agropyron Gaertn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gr0-lbs-ahy
title: Elymus repens (L.) Gould

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/x5g-a1j-dqx
title: Crataegus azarolus var. pontica (Koch) K. I. Chr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h9v-9hd-bsr
title: Panicum trichoides Sw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tm8-j0c-y9k
title: Erica axillaris Thunb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7ka-q2l-kl6
title: Hortia brasiliana Vand. ex DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/g4q-cjr-65d
title: Pteris blanchetiana C. Presl ex Ettingsh.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2k6-ye6-22e
title: Agropyron cristatum (L.) Gaertn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mef-nc9-5cb
title: Aethionema eunomioides (Boiss.) Bornm.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/d5r-h5m-pjf
title: Gwilymia paniculata (Poepp.) A.G.Lima, Paula-Souza & Scalon

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kb0-tva-g5j
title: Eremopyrum orientale (L.) Jaub. & Spach

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0nd-33d-y87
title: Erica virginalis Klotzsch ex Benth.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bz5-f2e-6dr
title: Eremopyrum triticeum (Gaertn.) Nevski

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nmx-ev0-9db
title: Monnina exaltata A. W. Benn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tnh-v3s-22p
title: Aethionema saxatile (L.) W. T. Aiton

description: Digital Specimen for the physical specimen hosted at University of Graz.