cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.24431/rw1k8ej
title: Estuarine water quality from "raw" environmental sensor data, 2019–2022. Estuarine water quality along a glacial gradient in the Gulf of Alaska, 2019–2022

description: Climate change is accelerating glacial melt in Gulf of Alaska watersheds and concomitant changes in runoff will affect coastal and estuarine habitat dynamics. This dataset consists of water quality measurements in Southeast and Southcentral Alaskan estuaries. Southeast Alaska sites were located in Gastineau Channel and Lynn Canal, near Juneau, and Southcentral Alaska sites were in Kachemak Bay, near Homer. Watersheds adjacent to estuary sites varied in their degree of glacierization (i.e., contemporary ice cover), ranging from 0% to 60% glacier cover. Estuary sites were sampled between April and October in 2019–2022. These data include sensor measurements of temperature, conductivity, salinity, dissolved oxygen, irradiance, and pressure (depth) recorded at 15-minute intervals by in situ sensor arrays. They also include point data taken on sampling days of temperature, salinity, conductivity, and turbidity. These data were collected as part of the Alaska EPSCoR Phase 5 “Fire and Ice” Program by the EPSCoR Coastal Margins team.
---
This metadata record was created by Anne Beaudreau, Associate Professor, University of Alaska Fairbanks, in Oct–Nov 2020. Following Beaudreau's departure from UAF in December 2020, it has been further developed and maintained by Brenda Konar, Scott Gabara, and Brian Ulaski from the EPSCoR Coastal Margins team. Beaudreau may be contacted with questions regarding the metadata record or Juneau 2019–2020 data at annebeau@uw.edu.
---
This folder contains all "raw" environmental sensor data from intertidal and fish sampling sites in both regions from 2019–2022. The Sensor Data folders have all the sensor data (temperature, salinity, dissolved oxygen, PAR, and TDR-time depth recorders for sensors that were truly intertidal and would go dry). These data were collected using various data loggers from the first sampling month of the year (usually May) to the last (usually September). These data can be found in their "raw" state, "processed" state, and "final" state. Please use the final state for analysis.
DOI: 10.15468/dl.a8izen
title: Occurrence Download

description: A dataset containing 108459 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ulex europaeus L."
 ]
}

 The dataset includes 108459 records from 335 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000392-171020152545675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zeoz40
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Pinguinus impennis (Linnaeus, 1758)"
 ]
}

 The dataset includes 191 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000392-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3d1ycj
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Harpia harpyja (Linnaeus, 1758)"
 ]
}

 The dataset includes 59 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000392-171113114016250/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tm1pkh
title: Occurrence Download

description: A dataset containing 15179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Year 1960-2018",
 "HasCoordinate is true",
 "TaxonKey is Alces alces (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15179 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000392-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddmrff
title: Occurrence Download

description: A dataset containing 1246 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liophis epinephelus Cope, 1862"
 ]
}

 The dataset includes 1246 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000393-150210113312293/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gkzhkw
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Viburnum congestum Rehder",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Fossil"
 ]
 }
 ]
}

 The dataset includes 163 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000393-150216165555722/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wddgnc
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Country is Congo",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 139 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000393-150221044754056/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ajrdjq
title: Occurrence Download

description: A dataset containing 3166 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eichhornia crassipes (Mart.) Solms"
 ]
}

 The dataset includes 3166 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000393-150311145101897/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24431/rw1k8ek
title: Estuarine water quality from "raw" environmental sensor data, 2019–2022. Estuarine water quality along a glacial gradient in the Gulf of Alaska, 2019–2022

description: Climate change is accelerating glacial melt in Gulf of Alaska watersheds and concomitant changes in runoff will affect coastal and estuarine habitat dynamics. This dataset consists of water quality measurements in Southeast and Southcentral Alaskan estuaries. Southeast Alaska sites were located in Gastineau Channel and Lynn Canal, near Juneau, and Southcentral Alaska sites were in Kachemak Bay, near Homer. Watersheds adjacent to estuary sites varied in their degree of glacierization (i.e., contemporary ice cover), ranging from 0% to 60% glacier cover. Estuary sites were sampled between April and October in 2019–2022. These data include sensor measurements of temperature, conductivity, salinity, dissolved oxygen, irradiance, and pressure (depth) recorded at 15-minute intervals by in situ sensor arrays. They also include point data taken on sampling days of temperature, salinity, conductivity, and turbidity. These data were collected as part of the Alaska EPSCoR Phase 5 “Fire and Ice” Program by the EPSCoR Coastal Margins team.
---
This metadata record was created by Anne Beaudreau, Associate Professor, University of Alaska Fairbanks, in Oct–Nov 2020. Following Beaudreau's departure from UAF in December 2020, it has been further developed and maintained by Brenda Konar, Scott Gabara, and Brian Ulaski from the EPSCoR Coastal Margins team. Beaudreau may be contacted with questions regarding the metadata record or Juneau 2019–2020 data at annebeau@uw.edu.
---
This folder contains all "raw" environmental sensor data from intertidal and fish sampling sites in both regions from 2019–2022. The Sensor Data folders have all the sensor data (temperature, salinity, dissolved oxygen, PAR, and TDR-time depth recorders for sensors that were truly intertidal and would go dry). These data were collected using various data loggers from the first sampling month of the year (usually May) to the last (usually September). These data can be found in their "raw" state, "processed" state, and "final" state. Please use the final state for analysis.
DOI: 10.15468/dl.mq0hfa
title: Occurrence Download

description: A dataset containing 2788 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ursus maritimus Phipps, 1774"
 ]
}

 The dataset includes 2788 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000393-150330110031120/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wjzzb7
title: Occurrence Download

description: A dataset containing 365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea triumfetti All.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 365 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000393-150407101314760/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xrphf2
title: Occurrence Download

description: A dataset containing 1043035 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Philippines"
 ]
}

 The dataset includes 1043035 records from 768 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000393-170627171947987/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lijjkd
title: Occurrence Download

description: A dataset containing 302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achyrocline alata (Kunth) DC.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 302 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000393-150504100648427/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jtyrik
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ulva acanthophora (Kützing) Hayden, Blomster, Maggs, P.C.Silva, Stanhope & J.R.Waaland, 2003",
 "Geometry POLYGON((-180 -82,-180 82,180 82,180 -82,-180 -82))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000393-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5efbci
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Louteridium mexicanum (Baill.) Standl.",
 "Geometry POLYGON((-90.153808 16.088042,-91.823730 18.104087,-92.768554 17.455472,-93.273925 18.104087,-94.548339 16.299051,-92.021484 14.370833,-91.933593 15.496032,-91.604003 15.919073,-91.604003 15.919073,-90.153808 16.088042))"
 ]
}

 The dataset includes 20 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000393-150721130643939/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hskceg
title: Occurrence Download

description: A dataset containing 4467 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quiscalus lugubris Swainson, 1838",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4467 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000393-150805223722583/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qwayni
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Month is greater than or equal to January",
 "Country is Australia",
 "TaxonKey is Diplopoda"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000393-150827100048397/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oey0ks
title: Occurrence Download

description: A dataset containing 2206055 species occurrences available in GBIF matching the query:
{
 "PublishingCountry" : [
 "is Colombia"
 ]
}

 The dataset includes 2206055 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000393-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvdpgk
title: Occurrence Download

description: A dataset containing 21160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aricia agestis (Denis & Schiffermüller), 1775",
 {
 "or" : [
 "Geometry POLYGON((-26 90,-26 -90,180 -90,180 90,-26 90))",
 "Geometry POLYGON((-180 90,-180 -90,-169 -90,-169 90,-180 90))",
 "Geometry POLYGON((-169 90,-169 -90,-26 -90,-26 90,-169 90))"
 ]
 },
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 21160 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000393-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive16928.20241212.9.2
title: Actinomadura fulvescens Terekhova et al. 1987

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive16928.20251217.10
title: Actinomadura fulvescens Terekhova et al. 1987

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0084586.10fu
title: SH0084586.10FU

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: 10.13145/bacdive16929.20250331.9.3
title: Actinomadura kijaniata Horan and Brodsky 1982 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive16929.20251217.10
title: Actinomadura kijaniata Horan and Brodsky 1982 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0084587.10fu
title: SH0084587.10FU

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: 10.13145/bacdive16930.20250331.9.3
title: Actinomadura livida Lavrova and Preobrazhenskaya 1975

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive16930.20251217.10
title: Actinomadura livida Lavrova and Preobrazhenskaya 1975

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive16931.20250331.9.3
title: Actinomadura luteofluorescens (Shinobu 1962) Preobrazhenskaya et al. 1975

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive16931.20251217.10
title: Actinomadura luteofluorescens (Shinobu 1962) Preobrazhenskaya et al. 1975

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0084588.10fu
title: SH0084588.10FU

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: 10.13145/bacdive16932.20250331.9.3
title: Actinomadura macra (ex Celmer et al. 1979) Huang 1980 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0084589.10fu
title: SH0084589.10FU

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: 10.13145/bacdive16932.20251217.10
title: Actinomadura macra (ex Celmer et al. 1979) Huang 1980 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive16933.20250331.9.3
title: Actinomadura madurae (Vincent 1894) Lechevalier and Lechevalier 1970 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0084590.10fu
title: SH0084590.10FU

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: 10.13145/bacdive16933.20251217.10
title: Actinomadura madurae (Vincent 1894) Lechevalier and Lechevalier 1970 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive16934.20241212.9.2
title: Actinomadura madurae (Vincent 1894) Lechevalier and Lechevalier 1970 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.