cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0176204.10fu
title: SH0176204.10FU

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/sh0176205.10fu
title: SH0176205.10FU

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/sh0176206.10fu
title: SH0176206.10FU

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/sh0176207.10fu
title: SH0176207.10FU

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/sh0176208.10fu
title: SH0176208.10FU

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/sh0176209.10fu
title: SH0176209.10FU

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.myym4c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((75.325442 21.564864, 75.249928 21.559287, 75.176289 21.542696, 75.10635600000001 21.515503, 75.041861 21.478383, 74.98439999999999 21.432256, 74.935391 21.378267, 74.89603700000001 21.317753, 74.867299 21.25221, 74.849873 21.183257, 74.844173 21.112597, 74.850323 21.041969, 74.868155 20.973112, 74.897215 20.907717, 74.936775 20.84739, 74.985856 20.793608, 75.043246 20.747689, 75.107534 20.710756, 75.177145 20.683712, 75.250378 20.667216, 75.325442 20.661672, 75.40050599999999 20.667216, 75.47373899999999 20.683712, 75.54335 20.710756, 75.60763799999999 20.747689, 75.66502800000001 20.793608, 75.71410899999999 20.84739, 75.753669 20.907717, 75.782729 20.973112, 75.800561 21.041969, 75.80671100000001 21.112597, 75.801011 21.183257, 75.783585 21.25221, 75.754847 21.317753, 75.715493 21.378267, 75.666484 21.432256, 75.60902299999999 21.478383, 75.544528 21.515503, 75.47459499999999 21.542696, 75.40095599999999 21.559287, 75.325442 21.564864))"},{"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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001551-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh0176210.10fu
title: SH0176210.10FU

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/sh0176211.10fu
title: SH0176211.10FU

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/sh0176212.10fu
title: SH0176212.10FU

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.pnhm7w
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudochondrostoma polylepis (Steindachner, 1864)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026346-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yg8abp
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achondrostoma arcasii (Steindachner, 1866)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 49 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026348-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.awp3u9
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudochondrostoma willkommii (Steindachner, 1866)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026352-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewywgw
title: Occurrence Download

description: A dataset listing the 241 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "Geometry POLYGON((-84.04706 9.90332,-84.02626 9.90332,-84.02626 9.92357,-84.04706 9.92357,-84.04706 9.90332))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset's 241 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026340-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qczaqs
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Luciobarbus comizo (Steindachner, 1864)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026354-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hgp5mk
title: Occurrence Download

description: A dataset containing 7877 species occurrences available in GBIF matching the query:
{
 "GenusKey" : [
 "is Cercidiphyllum Siebold & Zucc."
 ]
}

 The dataset includes 7877 records from 295 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026353-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m5wsmt
title: Occurrence Download

description: A dataset containing 7996 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Stictocephala bisonia Kopp & Yonke, 1977"
 ]
}

 The dataset includes 7996 records from 378 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026355-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvwruv
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Narcissus cavanillesii Barra & G.López",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 15 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026356-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3hp6m
title: Occurrence Download

description: A dataset containing 280 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyla molleri Bedriaga, 1889",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 280 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026357-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.776pc9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Iberochondrostoma oretanum (Doadrio & Carmona, 2003)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026358-241024112534372/datasets/export for details.
DOI: 10.17604/ab2d-rg72
title: Coastal Land-Air Sea Interaction: June 13th 2016 RHIB momentum flux observations

description: The dataset collected here represents the processed and quality-controlled information used in the analysis and presentation of the manuscript, “Observations of Air-Sea Momentum Flux Variability across the Inner Shelf” by the authors listed above, which is published by AGU in the Journal of Geophysical Research-Oceans. Unless specifically noted in the data file’s header/metadata information or in this document, all of the data contained within this set was collected from instrumentation mounted aboard the rigid-hull inflatable boat (RHIB) deployed as part of the CLASI field study on the June 13, 2016. These measurements were made within Monterey Bay directly offshore of Marina State Beach in Marina, CA. The observations were made roughly from 16:00 through 23:55 UTC. These data were used to conduct the analysis presented in the above manuscript and were used to generate the information given in the figures and tables within the article. The user is referred to the text for details regarding methodology. The data are provided here as ASCII-text data that should be readable by most analytical software packages. Floating-point values were written with at least 8 digits (extra digits were needed when writing serial time values). Two additional, open-access datasets were used for this study, they are not included in this dataset and the user is referred to the text for details regarding these data. All inquiries about the data (e.g. access to lower level or high-frequency data) should be directed to the corresponding author. The published article related to this data is: Ortiz‐Suslow, D.G., B.K. Haus, N.J. Williams, H.C. Graber, and J.H MacMahan. (2018), Observations of Air‐Sea Momentum Flux Variability across the Inner Shelf, &lt;em&gt;J. Geophys. Res. Oceans&lt;/em&gt;, https://doi.org/10.1029/2018JC014348
DOI: 10.17604/m6t66z
title: Subset data from the Nauru 1999 and African Monsoon Multidisciplinary Analysis (AMMA) 2006 cruise and matlab code for generating plots for the paper: Wong and Minnett (2017): The response of the ocean thermal skin layer to variations in incident infrared radiation.

description: Data in this collection is largely comprised of subsetted data from two research cruises, the Nauru cruise held from June to July 1999 and the African Monsoon Multidisciplinary Analysis (AMMA) cruise held from May to July 2006. The data subset is limited to night conditions under low wind speeds of &lt; 10 m/s and consists of the surface fluxes, radiance measurements from the Marine Atmospheric Emitted Radiance Interferometer (M-AERI), the retrievals of the skin sea surface temperatures and skin sea surface temperature profiles from the M-AERI's radiance spectral measurements. Also included are line-by-line-radiative transfer simulations provided by Dr. Goshka Szczodrak, transmission coefficient spectra obtained from the HITRAN database, and wind speed data from the Special Sensing Microwave Imager (SSM/I) version 6. provided by Dr. Chelle Gentemann. Matlab code is provided which reads the datafile (DATA.mat) and outputs the figures illustrated in the paper Wong and Minnett (2017) (https://doi.org/10.1002/2017JC013351).
description: Folder Contents:
1) M-AERI_data folder : folder contains subset data from the Nauru 1999 and AMMA 2006 cruise.
2) co2 folder : folder containing list of simulated data by a line-by-line radiative transfer model courtesy of Dr. Goshka Szczodrak.
3) hitran folder : folder containing transmission spectra downloaded off the hitran database (http://hitran.org/)
4) Weibull folder : folder consists of 18 years of Special Sensing Microwave Imager (SSM/I) data version 6. wind speed data over the entire ocean and wind speed data for Nauru 1999 and AMMA 2006 cruise : The data has been subsetted and was originally from Dr. Chelle Gentemann. SSM/I data can be downloaded from: http://www.remss.com/missions/ssmi
5) matlab_codes folder : folder contains matlab codes to reproduce the plots in the paper Wong and Minnett (2017)
DOI: 10.17604/5d4a-qj11
title: SAM model output files from A. Chandra, P. Zuidema, S. Krueger, A. Kochanski, S. P. de Szoeke and J. Zhang,2018: "Moisture distributions in tropical cold pools from equatorial Indian Ocean observations and cloud-resolving simulations”, J. Geophys. Res. - Atmos.

description: This data set contains two sets of cloud-resolving simulations using the System for Atmospheric Modeling (SAM - http://rossby.msrc.sunysb.edu/~marat/SAM.html) which contributed to the analysis found in Chandra et al., 2018, "Moisture distributions in tropical cold pools from equatorial Indian Ocean observations and cloud-resolving simulations”, Journal of Geophysical Research. The model output files were originally created by Adam Kochanski and Steve Krueger at the University of Utah. One simulation set is centered on Gan Island (0.65S, 73.15E), in the equatorial Indian Ocean, and the other simulation set is centered on the Research Ship Roger Revelle, stationed approximately 1000 km to the island’s east (0, 80E). The Gan Island simulations span 8-16 October and 18-25 December of 2011, while the Revelle simulations span 2 October - 1 November, 2011. They are five-minute output, from a doubly-periodic 256 km by 256 km domain with a one-km horizontal grid spacing and 67 vertical levels. The simulations incorporate a new turbulence closure named Simplified Higher Order Closure (SHOC) and a two-moment microphysical scheme (Morrison et al., 2005). More model description can be found in Chandra et al., 2018.