cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr36449
title: Nebraska Natural Resource Survey, 2012
title: Archival Version

description: The Nebraska Natural Resource Survey, 2012 data were collected to assess the role that trust plays in driving intention to cooperate with a natural resource management institution, the Nebraska Game and Parks Commission (NGPC). Data were collected from a random sample of Nebraska landowners with more than 20 acres of rural land, in which urban land was excluded by zip code. Survey questions included measures of the respondent's knowledge, experience, and perceptions of the NGPC's practices, policies, and goals. Respondents were also queried on any landowner programs they had participated in through the NGPC and their experiences and recommendations surrounding them. Respondents were asked to address environmental concern issues in the relational context of the NGPC. Finally respondents were asked to rate their own trustworthiness and how they felt about the Keystone XL Pipeline proposal. Demographic information within this collection includes age, sex, race/ethnicity, political affiliation, as well as where they fall on the political spectrum.
description: To assess the role that trust plays in driving intention to cooperate with the Nebraska Game and Parks Commission.
description: The data are not weighted and contain no weight variables.
description: Response Rates: 38 percent
description: Presence of Common Scales: rNEP
description: Landowners with more than 20 acres of rural land were identified by Survey Sampling International, a global provider of sampling solutions for survey research. Two lists of landowners were produced within the targeted Nebraska counties; urban areas were excluded by zip code. The first was a list of residences limited to lots larger than 20 acres and the second was a list of farms that have obtained a loan from the United States government. Duplicate addresses were eliminated and the sample was selected randomly.
description: Datasets: 
DS1: Nebraska Natural Resource Survey, 2012
description: Rural landowners in Nebraska. Smallest Geographic Unit: county
description: mail questionnaireThe string variables Q9, Q13, Q15, and Q18 contain responses which exceed statistical package character limitations and appear truncated in the ICPSR data file. ICPSR has provided comma delimited data files for these variables in order to provide full responses.
DOI: 10.3535/jv3-ckw-5sb
title: Salix aurita L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lyg-ap1-6m9
title: Salix aurita L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ymx-jg8-53t
title: Salix pycnostachya Andersson

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2x9-cwh-y21
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ljb-jhg-7rm
title: Salix pyrifolia Andersson

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/azf-3nn-cwm
title: Salix pycnostachya Andersson

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wyt-zed-91t
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4z2-3x5-zgl
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/d7a-hnc-834
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jej-ae3-mla
title: Salix acutifolia Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mbp-tr6-zek
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/338-2jm-ft1
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lwq-rwe-38t
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/t9s-6gd-bsr
title: Salix appendiculata Vill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ljn-pz4-8d9
title: Salix aurita L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mfs-mjh-714
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8bs-hn6-yrl
title: Salix aegyptiaca L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/n2z-ssq-8sg
title: Salix repens L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fvm-q1d-6tb
title: Salix repens L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zvq-382-4sf
title: Salix aurita L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/g82-r42-yx0
title: Salix appendiculata Vill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/eqs-c88-4le
title: Salix acmophylla Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fxl-289-7wd
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.v9ukyc
title: Occurrence Download

description: A dataset containing 350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trichosirocalus horridus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 350 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069994-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/7rc-bh0-1bl
title: Salix acmophylla Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qce-g99-wle
title: Salix appendiculata Vill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/e11-zew-w2g
title: Salix aegyptiaca L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rza-a7p-6ab
title: Salix aegyptiaca L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1bn-68t-5v6
title: Salix repens L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qy6-myy-vpm
title: Salix repens L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9fn-cjm-t30
title: Salix pycnostachya Andersson

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/s80-8c3-6dy
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0l5-2yf-a3w
title: Salix appendiculata Vill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dtr-1yg-b26
title: Salix pycnostachya Andersson

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h8r-ceq-ang
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr35563
title: Afrobarometer Round 5: The Quality of Democracy and Governance in South Africa, 2011
title: Archival Version

description: The Afrobarometer project was designed to collect and disseminate information regarding Africans' views on democracy, governance, economic reform, civil society, and quality of life. This particular data collection was concerned with the attitudes and opinions of the citizens of South Africa. Respondents in a face-to-face interview were asked to rate their president and the president's administration in overall performance, to state the most important issues facing their nation, and to evaluate the effectiveness of certain continental and international institutions. Opinions were gathered on the role of the government in improving the economy, whether corruption existed in local and national government, whether government officials were responsive to problems of the general population, and whether local government officials, the police, the courts, the overall criminal justice system, and the National Electoral Commission could be trusted. Additionally, respondents were polled about their political involvement and opinions on controversial topics. Economic questions addressed the past, present, and future of the country's and the respondents' living conditions. Background variables include age, gender, ethnicity, education, religious affiliation, language spoken most at home, whether the respondent was the head of the household, current and past employment status, and language used in interview. In addition, the interviewer's gender, race, and education level is provided.
description: The data are not weighted, however, this collection contains the weight variable WITHINWT, that should be used in any analysis. This weight was created to account for individual selection probabilities.
description: Response Rates: 59.4 percent
description: The Afrobarometer uses a clustered, stratified, multi-stage, area probability sample design. The sample is designed as a representative cross-section of all citizens of voting age in a given country. The goal is to give every adult citizen an equal and known chance of selection for interview. This objective is reached by (a) strictly applying random selection methods at every stage of sampling and by (b) applying sampling with probability proportionate to population size wherever possible. A randomly selected sample of 1,200 cases allows inferences to national adult populations with a margin of sampling error of no more than plus or minus 3 percent with a confidence level of 95 percent. If the sample size is increased to 2,400, the confidence interval shrinks to plus or minus 2 percent.
description: Datasets: 
DS1: Afrobarometer Round 5: The Quality of Democracy and Governance in South Africa, 2011
description: Citizens of South Africa aged 18 years or older. Smallest Geographic Unit: District
description: face-to-face interview; paper and pencil interview (PAPI)Additional information on the Afrobarometer Survey can be found by visiting the Afrobarometer Web site.
DOI: 10.3535/d8t-zw6-6m0
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/j5w-6la-0q5
title: Salix aegyptiaca L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jav-xmf-7bg
title: Salix aurita L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bql-se0-bwb
title: Salix pycnostachya Andersson

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mra-1ca-b6j
title: Salix aegyptiaca L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tlf-gja-p3g
title: Salix appendiculata Vill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lyy-ask-00d
title: Salix acmophylla Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/375-jbw-r5z
title: Salix acmophylla Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/w6n-a6k-8jr
title: Salix acmophylla Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dyv-9ah-84q
title: Salix acmophylla Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/w21-sdg-04y
title: Salix acmophylla Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8e5-jbv-xv8
title: Salix acmophylla Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pg9-7pv-7j1
title: Salix repens L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15156/bio/sh1391688.10fu
title: SH1391688.10FU

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/sh1391689.10fu
title: SH1391689.10FU

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/sh1391690.10fu
title: SH1391690.10FU

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/sh1391692.10fu
title: SH1391692.10FU

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/sh1391696.10fu
title: SH1391696.10FU

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/sh1391698.10fu
title: SH1391698.10FU

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/sh1391700.10fu
title: SH1391700.10FU

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/sh1391704.10fu
title: SH1391704.10FU

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.r2cad4
title: Occurrence Download

description: A dataset containing 2092 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes japonicus",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2092 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005987-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tpj78v
title: Occurrence Download

description: A dataset containing 3458034 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae)",
 "Country is New Zealand",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 0"
 ]
}

 The dataset includes 3458034 records from 393 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010315-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18672735
title: UMUMIY O'RTA TA'LIM MAKTABLARIDA TA'LIM SIFATI OSHIRISHNING XORIJ TAJRIBASI

description:  Maqolada umumiy o‘rta ta’lim muassasalarida ta’lim sifati monitoringini takomillashtirish yuzasidan fikrlar yuritilgan. Xorijiy davlatlar o‘qitish tizimi bilan qiyosiy tahlil qilingan.
DOI: 10.5281/zenodo.18672734
title: UMUMIY O'RTA TA'LIM MAKTABLARIDA TA'LIM SIFATI OSHIRISHNING XORIJ TAJRIBASI

description:  Maqolada umumiy o‘rta ta’lim muassasalarida ta’lim sifati monitoringini takomillashtirish yuzasidan fikrlar yuritilgan. Xorijiy davlatlar o‘qitish tizimi bilan qiyosiy tahlil qilingan.
DOI: 10.25549/annis-ouc17139958
title: Trujillo, Spain, 1954

description: Trujillo, Spain, 1954 April 25.
DOI: 10.25549/annis-ouc17140254
title: Trujillo, Spain, 1954

description: Trujillo, Spain, 1954 April 25.
DOI: 10.25549/annis-ouc17143672
title: Caceres Province, Spain, 1954

description: Caceres Province, Spain, 1954 April 26-27.
DOI: 10.25549/annis-ouc17147248
title: Caceres Province, Spain, 1954

description: Caceres Province, Spain, 1954 April 26-27.
DOI: 10.25549/annis-ouc17145961
title: Merida, Spain, 1954

description: Merida, Spain, 1954 April 27.
DOI: 10.25549/annis-ouc17143687
title: Merida, Spain, 1954

description: Merida, Spain, 1954 April 27.
DOI: 10.25549/annis-ouc17144266
title: Church at Pisac, Peru, 1935

description: Unidentified church at Pisac, Calca, Peru, 1935 July 28 and August 9.
DOI: 10.25549/annis-ouc17140679
title: Church at Pisac, Peru, 1935

description: Unidentified church at Pisac, Calca, Peru, 1935 July 28 and August 9.