cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0180650.10fu
title: SH0180650.10FU

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/sh0180651.10fu
title: SH0180651.10FU

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/sh0180652.10fu
title: SH0180652.10FU

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/sh0180653.10fu
title: SH0180653.10FU

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/sh0180654.10fu
title: SH0180654.10FU

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/sh0180655.10fu
title: SH0180655.10FU

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/sh0180656.10fu
title: SH0180656.10FU

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: 10.25573/data.10059455.v44
title: Monthly Summary_BCI, horizontal

description: Monthly and daily summary from Barro Colorado Island (BCI). Data organized in horizontal format for seasonal and inter-year comparisons<br>Location 9°9'42.36"N, 79°50'15.67"W<br>Parameters: air temperature, relative humidity, wind speed and 
direction, precipitation, sea surface temperature, solar radiation 
(pyranometer), air pressure, soil moisture, runoff, potential evapotranspiration, wet/dry season starting dates<br><br>Lutz catchment is a 9.73ha protected watershed on BCIThe Lutz tower was built in 1972 and was originally 42m. In 2002 it was increased to 48m<br>The data from 48m should be considered a separate data series from the 
data at 42m. Wind speed is significantly higher at 48m due to the 
distance to the top of the canopy.<br>The Clearing is a small, open area surrounded by forest and some 
buildings. Station established in 1972. Consists of a Stevenson screen 
with max/min thermometers and air pressure sensor. Temperature/humidity 
sensor, rain gauge and evaporation sensors are located at various 
locations around the screen.
DOI: 10.15468/dl.cmzs3z
title: Occurrence Download

description: A dataset containing 1024 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Microcos coriacea (Mast.) Burret",
 "Continent is Africa"
 ]
}

 The dataset includes 1024 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000737-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z66f3z
title: Occurrence Download

description: A dataset containing 461 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ploceus golandi (S.Clarke, 1913)"
 ]
}

 The dataset includes 461 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000740-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6rnmcg
title: Occurrence Download

description: A dataset containing 30374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Geometry POLYGON((54.18735 -11.9981,129.06623 -11.9981,129.06623 49.95002,54.18735 49.95002,54.18735 -11.9981))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rusa unicolor (Kerr, 1792)",
 "Year 1990-2024"
 ]
}

 The dataset includes 30374 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000739-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxg8gn
title: Occurrence Download

description: A dataset containing 461 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ploceus golandi (S.Clarke, 1913)"
 ]
}

 The dataset includes 461 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000742-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m83qa5
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((105.8997 -6.078217, 106.1212 -6.078217, 106.1212 -5.908018, 105.8997 -5.908018, 105.8997 -6.078217))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 115 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000743-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hna73k
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Microcos floribunda (Mast.) Burret",
 "Continent is Africa"
 ]
}

 The dataset includes 200 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000744-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e112601
title: Replication data for: Inferring Strategic Voting

description: We estimate a model of strategic voting and quantify the impact it has on election outcomes. Because the model exhibits multiplicity of outcomes, we adopt a set estimator. Using Japanese general-election data, we find a large fraction (63.4 percent, 84.9 percent) of strategic voters, only a small fraction (1.4 percent, 4.2 percent) of whom voted for a candidate other than the one they most preferred (misaligned voting). Existing empirical literature has not distinguished between the two, estimating misaligned voting instead of strategic voting. Accordingly, while our estimate of strategic voting is high, our estimate of misaligned voting is comparable to previous studies. (JEL D72)
DOI: 10.3886/e112601v1-158321
title: Replication data for: Inferring Strategic Voting

description: We estimate a model of strategic voting and quantify the impact it
has on election outcomes. Because the model exhibits multiplicity of
outcomes, we adopt a set estimator. Using Japanese general-election
data, we find a large fraction (63.4 percent, 84.9 percent) of strategic
voters, only a small fraction (1.4 percent, 4.2 percent) of whom voted
for a candidate other than the one they most preferred (misaligned
voting). Existing empirical literature has not distinguished between
the two, estimating misaligned voting instead of strategic voting.
Accordingly, while our estimate of strategic voting is high, our
estimate of misaligned voting is comparable to previous studies.
(JEL D72)
DOI: 10.3886/icpsr35361.v3
title: Survey of Consumer Attitudes and Behavior, May 2004
title: Version 3

description: The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. The surveys conducted in 2004 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, computers, and other durables. Also explored in this survey, were respondents' types of savings and financial investments, loan use, family income, and retirement planning. Other topics in this series typically include ownership, lease, and use of automobiles, respondents' use of personal computers at home and in the office, and respondents' familiarity with and use of the Internet. Demographic information includes ethnic origin, sex, age, marital status, and education.
description: The purpose of this survey series is to forecast changes in aggregate consumer behavior.
description: The data are not weighted. This collection contains four weight variables; WT (HOUSEHOLD HEAD WEIGHT), WT_HH (HOUSEHOLD WEIGHT), WT_ADHD (ADULT HEAD WEIGHT), and WT_AD (ADULT WEIGHT) that must be used in any analysis. For more information on weights and sampling please visit the Surveys of Consumers Web site and refer to the documentation on Sample Design, and the section on Sample Weights.
description: National sample of dwelling units selected by area probability sampling.
description: Datasets: DS1: Survey of Consumer Attitudes and Behavior, May 2004
description: Adults living in households with telephones in the coterminous United States (contiguous 48 states plus the District of Columbia). Smallest Geographic Unit: region
description: computer-assisted telephone interview (CATI)Information on the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations and how they were created can be found in the P.I. Codebook.Additional information on the Surveys of Consumers can be found by visiting the Surveys of Consumers Web site.
DOI: 10.3886/icpsr35361.v2
title: Survey of Consumer Attitudes and Behavior, May 2004
title: Version 2

description: The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. The surveys conducted in 2004 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, computers, and other durables. Also explored in this survey, were respondents' types of savings and financial investments, loan use, family income, and retirement planning. Other topics in this series typically include ownership, lease, and use of automobiles, respondents' use of personal computers at home and in the office, and respondents' familiarity with and use of the Internet. Demographic information includes ethnic origin, sex, age, marital status, and education.
description: The purpose of this survey series is to forecast changes in aggregate consumer behavior.
description: The data are not weighted. This collection contains four weight variables; WT (HOUSEHOLD HEAD WEIGHT), WT_HH (HOUSEHOLD WEIGHT), WT_ADHD (ADULT HEAD WEIGHT), and WT_AD (ADULT WEIGHT) that must be used in any analysis. For more information on weights and sampling please visit the Surveys of Consumers Web site and refer to the documentation on Sample Design, and the section on Sample Weights.
description: National sample of dwelling units selected by area probability sampling.
description: Datasets: DS1: Survey of Consumer Attitudes and Behavior, May 2004
description: Adults living in households with telephones in the coterminous United States (contiguous 48 states plus the District of Columbia). Smallest Geographic Unit: region
description: computer-assisted telephone interview (CATI)Version 2 provides an update to the XML file to ensure that precision after decimal places within index and weight variables is preserved.Information on the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations and how they were created can be found in the ICPSR Codebook.Additional information on the Surveys of Consumers can be found by visiting the Surveys of Consumers Web site.
DOI: 10.15468/dl.9gh2jq
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((119.1043 34.55358, 119.2576 34.55358, 119.2576 34.68422, 119.1043 34.68422, 119.1043 34.55358))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 52 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000745-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vxvdr
title: Occurrence Download

description: A dataset containing 12811851 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Waarnemingen.be - Bird occurrences in Flanders and the Brussels Capital Region, Belgium"
 ]
}

 The dataset includes 12811851 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000672-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sdbvxe
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Microcos gossweileri Burret",
 "Continent is Africa"
 ]
}

 The dataset includes 33 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000746-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13012/b2idb-4907703_v1
title: Plaque-associated lipids dataset

description: This dataset contains MALDI imaging and fluorescence imaging data of 5xFAD mice and control animals. 

1+2) Animal_1_5xFAD_s1 and s2 : A MATLAB file of 50 micron spatial resolution imaging of whole brain slice from a 5xFAD animal. 
3) Slide28_Animal1_stitch_channels__Thioflavin S : A PNG file of the corresponding Thioflavin S- stained fluorescence image obtained post-MSI from the same section.
4) Slide28_Animal1_stitch_merged : A PNG file of the corresponding merged imaged including brightfield, Thioflavin S (GFP channel) and Hoechst staining (DAPI channel) used for image registration
5) mz_bins_use_neg.mat : A MATLAB array of the m/z channels all MSI images (whole brain slice, 50 micron spatial resolution) were binned to in order to enable comparison
6) Animal3_S18_HR.mat : A MATLAB array of high-spatial-resolution (5 micron) imaging of a 5xFAD mouse hippocampus and cortex. Due to the large dataset, 22 m/z channels are included. 
7) Animal5_S18_HR.mat : A MATLAB array of high-spatial-resolution (5 micron) imaging of a wildtype mouse hippocampus and cortex
8) mz_features_22.mat : A MATLAB array of the 22 m/z channels included in the high spatial resolution imaging data
DOI: 10.15468/dl.spxrt7
title: Occurrence Download

description: A dataset containing 141592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is USA.33.32_1",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "TaxonKey is Picidae",
 "Year 2018-2023"
 ]
}

 The dataset includes 141592 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000691-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h83k73
title: Occurrence Download

description: A dataset containing 381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((110.2737 21.148, 110.4678 21.148, 110.4678 21.32246, 110.2737 21.32246, 110.2737 21.148))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 381 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000749-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.