cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1390693.10fu
title: SH1390693.10FU

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/sh1390696.10fu
title: SH1390696.10FU

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/sh1390699.10fu
title: SH1390699.10FU

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/sh1390701.10fu
title: SH1390701.10FU

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/sh1390702.10fu
title: SH1390702.10FU

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/sh1390703.10fu
title: SH1390703.10FU

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/sh1390704.10fu
title: SH1390704.10FU

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/sh1390705.10fu
title: SH1390705.10FU

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/sh1390706.10fu
title: SH1390706.10FU

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.4hcz5s
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"MEX.7.7_2","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005972-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1390709.10fu
title: SH1390709.10FU

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/phm-3pm-ys1
title: Oenanthe silaifolia M. Bieb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zaa-fvq-4mx
title: Hedysarum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.keu3tm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spermacoce remota",
 "Country is Marshall Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069830-250717081556266/datasets/export for details.
DOI: 10.3535/9py-f2t-a5e
title: Clinopodium L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rjd-yr6-c4c
title: Astragalus asper Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bhq-hpg-pxf
title: Heracleum platytaenium Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/crc-deg-p48
title: Sanicula europaea L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/14c-e0v-32x
title: Linaria michauxii Chav.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr37272
title: Los Angeles Family and Neighborhood Survey (L.A.FANS), Restricted Neighborhood Observations Data, 2000-2001
title: Archival Version

description: This study is a restricted data file of data from the L.A.FANS Neighborhood Observation Study, an in-person observational by trained L.A.FANS interviewers of the census blocks on which L.A.FANS respondents lived during L.A.FANS Wave 1. Interviewers were trained to walk each block face and record social and physical observations on precoded check sheets. Each block face was observed by several different interviewers working independently at different times of the day and week. These data are designed to be used with L.A.FANS Wave-1 survey interview data restricted versions 2.5 or 3 to provide data on the census block and census tract in which individual respondents lived. Users who apply for these restricted data must also be approved for using restricted version 2.5 or 3. Please note that L.A. FANS restricted data may only be accessed within the ICPSR Virtual Data Enclave (VDE) and must be merged with the L.A. FANS public data prior to beginning any analysis. The study is described in detail in the L.A.FANS Neighborhood Observations Codebook. Further information is available in: Jones, M., Pebley, A. R., and Sastry, N. (2011). Eyes on the block: Measuring urban physical disorder through in-person observation. Social Science Research, 40(2), 523-537.
description: L.A.FANS is based on a stratified random sample of 65 neighborhoods (census tracts) in Los Angeles County, California. Poor neighborhoods/tracts were oversampled. Within each tract, census blocks were sampled with probability proportional to population size. Households were selected for interview in Wave 1 from among the addresses within sampled census blocks.
description: Datasets: DS0: Study-Level Files DS1: Neighborhood Observation Cover File DS2: Neighborhood Physical and Social Observations File DS3: Alley Observations File
description: Households in Los Angeles County. Smallest Geographic Unit: Census block
description: coded on-site observationL.A.FANS Neighborhood Observations Questionnaires are available to read or download in the L.A.FANS Neighborhood Observations Codebook.
DOI: 10.3535/t6w-ml9-34a
title: Alyssum sibiricum Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/elp-ptg-9ts
title: Reseda L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/maa-5n0-mvl
title: Salvia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.7u6f9d
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epipremnum aureum",
 "Country is Cuba",
 "HasCoordinate is true"
 ]
}

 The dataset includes 40 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069831-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/xgr-l9h-02l
title: Romulea Maratti

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yka-zlz-gh7
title: Avena L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr01319
title: Refugee or Internally Displaced Person?
title: Archival Version

description: The literature on the decision to abandon one's home in the face of violence is dominated by scholarship that implicitly assumes that forced migrants had no choice but to leave. Yet a spate of recent studies adopts a general rational choice framework that identifies new questions and challenges some conventional wisdom. This study builds on that work and breaks new ground by investigating the circumstances that lead some countries to produce a large number of refugees and relatively few internally displaced persons (IDPs) as opposed to a large number of IDPs and relatively few refugees. The investigators present the hypothesis that refugee flows are greater in the face of state (sponsored) genocide/politicide than they are in response to other state coercion, dissident campaigns of violence, or civil wars. It is argued that countries surrounded by poor, authoritarian regimes will produce fewer refugees (relative to IDPs) than those surrounded by wealthy, democratic neighbors. A sample selection model is employed to conduct statistical analyses using data on a global sample of countries for the period 1976-1995.
description: Datasets: 
 
 DS1: Dataset
description: (1) The file submitted is mooshel.cps06.zip, which contains the data and program. There is also a readme file. (2) These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigators if further information is desired.
DOI: 10.3535/dqj-l6v-bqg
title: Oloptum miliaceum (L.) Röser & Hamasha

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/l35-8nk-r21
title: Ornithogalum boucheanum (Kunth) Asch.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/cmn-fr0-w31
title: Euphorbia agraria M.Bieb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fx4-d03-zmx
title: Ornithogalum boucheanum (Kunth) Asch.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr02889
title: Census of Population and Housing, 1990 [United States]: Extract Data
title: Archival Version

description: This extraction of data from the 1990 decennial Census files (CENSUS OF POPULATION AND HOUSING, 1990 [UNITED STATES]: SUMMARY TAPE FILES 3A AND 3B [ICPSR 9694, 9693]) was designed to provide a set of contextual variables to be matched to any survey dataset that has been coded for the geographic location of respondents. Over 120 variables were selected from original Census sources, and more than 100 variables were derived from those component variables. The variables characterize geographic areas in terms of ethnicity, family structures, income, education, labor force activity, and housing. The geographic areas chosen range from neighborhoods (tracts, Block Numbering Areas [BNAs], and Enumeration Districts [EDs]), through intermediate levels of geography (Minor Civil Divisions and Census County Divisions [MCDs/CCDs], census places, and ZIP codes), through large economic areas (counties, Metropolitan Statistical Areas, State Economic Areas [SEAs], and specially created Labor Market Areas [LMAs]), and beyond to large regions (Economic Sub-Regions [ESRs] and states). To the maximum extent possible, the investigator selected Census variables that seemed relevant to problems associated with poverty and income determination and that were present in comparable form in the 1970 and 1980 Census datasets.
description: Datasets: DS0: Study-Level Files DS1: Tract/BNA Level, Count 3A Data DS2: Minor Civil Divisions, Count 3A Data DS3: Five-Digit ZIP Codes, Count 3B Data DS4: Places, Count 3A Data DS5: Counties, Count 3A Data DS6: States, Count 3A Data
description: Population of the United States (which includes all 50 states and Washington, DC).
DOI: 10.3535/4sy-yd8-1e2
title: Boraginaceae Juss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr07421
title: Slave Sales and Appraisals, 1775-1865
title: Archival Version

description: This study presents data pertaining to slave sales and
 appraisals that took place from 1775 to 1865 in eight states of the
 southern United States: Virginia, Maryland, North Carolina, South
 Carolina, Louisiana, Tennessee, Georgia, and Mississippi. The data
 were obtained from probate records on deposit in the Church of Jesus
 Christ of Latter-Day Saints Genealogical Society Library, Salt Lake
 City, Utah. Variables document the sale locations and the appraised
 and sale values of the slaves, as well as the slaves' age, sex,
 occupational skills, and condition of health. A related study is SLAVE
 HIRES, 1775-1865 (ICPSR 7422), also prepared by Robert W. Fogel and
Stanley L. Engerman.
description: Nonrandom, convenience sample.
description: Datasets: 
DS1: Slave Sales and Appraisals, 1775-1865
description: Slave sales and appraisals in the southern United States
 (Maryland, Virginia, South Carolina, North Carolina, Louisiana,
Tennessee, Georgia, and Mississippi) between 1775-1865.
description: Variable 5, recording "Year in which Entry Occurred,"
has values ranging from 1742 to 1868.
DOI: 10.3535/ns7-kqw-d24
title: Colchicum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ry7-kl0-69x
title: Spergularia rubra (L.) J. Presl & C. Presl

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pv2-8mp-fff
title: × Limara Anon.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zza-v27-pas
title: Parentucellia latifolia (L.) Caruel

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