cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.hdhmuu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Canada",
 "Country is Canada"
 ]
 },
 "TaxonKey is one of (Viola minuscula × Viola renifolia)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018758-250525065834625/datasets/export for details.
DOI: 10.15468/dl.muswbm
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018757-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brrrw8
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Melocalamus Benth.",
 "Year 1000-2025"
 ]
}

 The dataset includes 16 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018759-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6njscx
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018761-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/e97f8ddd7948528a17c34412dd33bd6f
title: Nutrient amendment effects on phytoplankton, water chemistry, and cyanotoxins in the 2018 Large-Scale Mesocosm Experiment at the University of Kansas Field Station

description: This dataset includes water physicochemical parameters, phytoplankton community composition, and cyanobacteria metabolites collected during a 21-day nutrient amendment experiment conducted from 23 July to 13 August 2018 at the University of Kansas Biological Station, Lawrence, KS, United States (39.049674°N, 95.190777°W). The experiment was performed using 18 large-scale, closed-bottom fiberglass tanks (volume: 11,000 L; height: 1.25 m; diameter: 3 m). Three tanks served as ambient controls (CON), while the others received one of the following nutrient treatments: nitrogen only (280 µM) as either ammonium chloride (NH4) or sodium nitrate (NO3); nitrogen (280 µM) plus phosphorus (200 µM) as either ammonium chloride + dipotassium phosphate (NHP) or sodium nitrate + dipotassium phosphate (NOP); and phosphorus only (200 µM) as dipotassium phosphate (P). Each tank received an initial nutrient dose on Day 0.5, followed by weekly additions of 20% of the initial amendment to maintain treatment conditions. All data were quality controlled to correct basic errors and to remove measurements outside the manufacturer’s standard operational ranges.
DOI: 10.15468/dl.x6g8am
title: Occurrence Download

description: A dataset containing 246 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spinus cucullatus (Swainson, 1820)"
 ]
}

 The dataset includes 246 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018763-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15588149
title: Dataset_ Lightning_Behavior_and_Its_Relationship_with_Topography_Precipitation_and_Land_Use_in_the_São_Francisco_River_Basin
DOI: 10.5281/zenodo.15588150
title: Dataset_ Lightning_Behavior_and_Its_Relationship_with_Topography_Precipitation_and_Land_Use_in_the_São_Francisco_River_Basin
DOI: 10.15472/czhadq
title: Colección Taxonómica Central del Museo Entomológico UNAB, familia Bostrichidae

description: El Museo Entomológico UNAB contiene cerca de 180.000 especímenes, con las siguientes características de conservación: 153.000 montados en alfiler y almacenados en 980 gavetas de madera tipo Cornell, ubicadas en seis paneles de compactadores y 395 cajas misceláneas en estanterías; 10.430 montadas en láminas: Coccomorpha (6.600 láminas), Collembola (1.700), Aphidomorpha (1400), Aleyrodomorpha (500), Thysanoptera (90), Acari (90), Psyllomorpha (50); 18.400 entre larvas y adultos, envasados en 4.600 frascos con alcohol, y 96 especímenes tipo montados en alfiler, que representan 46 especies. Aproximadamente, 20.000 especímenes se encuentran catalogados en la base digital de la Colección Taxonómica Central (CTC) del Museo UNAB, 17.000 de los cuales se encuentran identificados por especialistas, a nivel de género o especie. Dichas identificaciones representan un total de 4.000 especies, en 150 familias y 19 órdenes de insectos; así como siete especies de Acari en dos familias.
description: En el presente recurso se documentan registros biológicos correspondientes a representantes de la familia Bostrichidae.
description: Los especímenes de Coleoptera de las colecciones del Museo tienen fecha de recolección desde 1950 hasta la actualidad y son parte de recolectas y proyectos dirigidos en los agroecosistemas de Colombia. Todos los especímenes asociados a los registros se encuentran actualmente depositados en el museo entomológico UNAB, de la Facultad de Ciencias Agrarias de la Universidad Nacional de Colombia, sede Bogotá.
DOI: 10.15468/dl.fxw7hm
title: Occurrence Download

description: A dataset containing 1063 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "PublishingOrg is f5fc4e61-b7a0-414b-ab68-b41cb23e7fdc",
 "TaxonKey is one of (Erigeron kamtschaticus DC., Erigeron politus Fr., Erigeron acris L., Erigeron manshuricus (Kom.) Vorosch., Erigeron tilingii Vorosch.)"
 ]
}

 The dataset includes 1063 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018765-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vd2wjh
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Melocanna Trin.",
 "Year 1000-2025"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018766-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2qkfgh
title: Occurrence Download

description: A dataset containing 416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-10.0",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Taricha sierrae (Twitty, 1942)",
 "Year 1980-2025"
 ]
}

 The dataset includes 416 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018767-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nz8qrc
title: Occurrence Download

description: A dataset containing 2314453 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is d42b7e5d-a3e5-4fc2-8b3d-105336d70898"
 ]
}

 The dataset includes 2314453 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018755-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.47q3kg
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018768-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/0f81ad59f9e94cc4b038dd483ac29797
title: Monthly Mean, Minimum and Maximum Central England Temperature (HadCET) series v2.0.1.0

description: The Central England Temperature (HadCET) monthly series start in 1659 for mean temperature and 1878 for minimum and maximum temperature.

These historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London).
 
The monthly temperature series are derived as the mean of the daily temperature series values.
 
For mean temperature, the monthly values from 1659 to 1771 are derived directly from Gordon Manley's monthly mean values.

Stations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick
 
Stations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College
 
The current station selection used is Rothamsted, Stonyhurst and Pershore College.
 
The dataset is compiled by the Met Office Hadley Centre.

Latest provisional release data are available via the Hadley Centre Observations website (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html).
DOI: 10.15468/dl.3qnakp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyprinus carpio Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022098-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.10073406
title: Hui o ka Wai Ola Water Quality Data

description: This dataset is the quarterly report for the Hui o Ka Wai Ola citizen-science based water quality program. Included are physical and chemical data that were collected and analyzed every two or three weeks beginning from June 6, 2016 to September 28, 2023. New results will be posted as available. Please see huiokawaiola.com for more information. 
The goal of the Hui o Ka Wai Ola program is to increase the capacity for monitoring water quality in Maui coastal waters by generating reliable data to assess long-term water-quality conditions and detect temporal trends. These data augment the data produced by the Hawaii Department of Health Clean Water Branch beach monitoring program on Maui.
Please use the most recent version, as it is the latest quality assured data available from the group.
description: Visit huiokawaiola.com for full methods and most recently data and analysis.
DOI: 10.5281/zenodo.10622388
title: Hui o ka Wai Ola Water Quality Data

description: This dataset is the quarterly report for the Hui o Ka Wai Ola citizen-science based water quality program. Included are physical and chemical data that were collected and analyzed every two or three weeks beginning from June 6, 2016 to December 21, 2023. New results will be posted as available. Please see huiokawaiola.com for more information. 

The goal of the Hui o Ka Wai Ola program is to increase the capacity for monitoring water quality in Maui coastal waters by generating reliable data to assess long-term water-quality conditions and detect temporal trends. These data augment the data produced by the Hawaii Department of Health Clean Water Branch beach monitoring program on Maui.

Please use the most recent version, as it is the latest quality assured data available from the group.
description: Visit huiokawaiola.com for full methods and most recently data and analysis.
DOI: 10.5281/zenodo.11153448
title: Hui o ka Wai Ola Water Quality Data

description: This dataset is the quarterly report for the Hui o Ka Wai Ola citizen-science based water quality program. Included are physical and chemical data that were collected and analyzed every two or three weeks beginning from June 6, 2016 to March 28, 2023. New results will be posted as available. Please see huiokawaiola.com for more information. 

The goal of the Hui o Ka Wai Ola program is to increase the capacity for monitoring water quality in Maui coastal waters by generating reliable data to assess long-term water-quality conditions and detect temporal trends. These data augment the data produced by the Hawaii Department of Health Clean Water Branch beach monitoring program on Maui.

Please use the most recent version, as it is the latest quality assured data available from the group.
description: Visit huiokawaiola.com for full methods and most recently data and analysis.
DOI: 10.5281/zenodo.1173717
title: Hui O Ka Wai Ola Water Quality Data

description: This dataset is the annual report for the Hui o Ka Wai Ola citizen-science based water quality program. Included are physical and chemical data that were collected and analyzed every two or three weeks beginning from June 6, 2016 to January 12, 2018. New results will be posted as available. Please see huiokawaiola.com for more information. 

The goal of the Hui o Ka Wai Ola program is to increase the capacity for monitoring water quality in Maui coastal waters by generating reliable data to assess long-term water-quality conditions and detect temporal trends. These data augment the data produced by the Hawaii Department of Health Clean Water Branch beach monitoring program on Maui.
description: Visit huiokawaiola.com for full methods and most recently data and analysis.
DOI: 10.5281/zenodo.13327572
title: Hui o ka Wai Ola Water Quality Data

description: This dataset is the quarterly report for the Hui o Ka Wai Ola citizen-science based water quality program. Included are physical and chemical data that were collected and analyzed every two or three weeks beginning from June 6, 2016 to June 28, 2024. New results will be posted as available. Please see huiokawaiola.com for more information. 

The goal of the Hui o Ka Wai Ola program is to increase the capacity for monitoring water quality in Maui coastal waters by generating reliable data to assess long-term water-quality conditions and detect temporal trends. These data augment the data produced by the Hawaii Department of Health Clean Water Branch beach monitoring program on Maui.

Please use the most recent version, as it is the latest quality assured data available from the group.
description: Visit huiokawaiola.com for full methods and most recently data and analysis.
DOI: 10.5281/zenodo.14176884
title: Hui o ka Wai Ola Water Quality Data

description: This dataset is the quarterly report for the Hui o Ka Wai Ola citizen-science based water quality program. Included are physical and chemical data that were collected and analyzed every two or three weeks beginning from June 6, 2016 to September 30, 2024. New results will be posted as available. Please see huiokawaiola.com for more information. 

The goal of the Hui o Ka Wai Ola program is to increase the capacity for monitoring water quality in Maui coastal waters by generating reliable data to assess long-term water-quality conditions and detect temporal trends. These data augment the data produced by the Hawaii Department of Health Clean Water Branch beach monitoring program on Maui.

Please use the most recent version, as it is the latest quality assured data available from the group.
description: Visit huiokawaiola.com for full methods and most recently data and analysis.
DOI: 10.5281/zenodo.14984919
title: Hui o ka Wai Ola Water Quality Data

description: This dataset is the quarterly report for the Hui o Ka Wai Ola citizen-science based water quality program. Included are physical and chemical data that were collected and analyzed every two or three weeks beginning from June 6, 2016 to January 3, 2025. New results will be posted as available. Please see huiokawaiola.com for more information. 

The goal of the Hui o Ka Wai Ola program is to increase the capacity for monitoring water quality in Maui coastal waters by generating reliable data to assess long-term water-quality conditions and detect temporal trends. These data augment the data produced by the Hawaii Department of Health Clean Water Branch beach monitoring program on Maui.

Please use the most recent version, as it is the latest quality assured data available from the group.
description: Visit huiokawaiola.com for full methods and most recently data and analysis.
DOI: 10.5281/zenodo.15558447
title: Hui o ka Wai Ola Water Quality Data

description: This dataset is the quarterly report for the Hui o Ka Wai Ola citizen-science based water quality program. Included are physical and chemical data that were collected and analyzed every two or three weeks beginning from June 6, 2016 to March 31, 2025. New results will be posted as available. Please see huiokawaiola.com for more information. 

The goal of the Hui o Ka Wai Ola program is to increase the capacity for monitoring water quality in Maui coastal waters by generating reliable data to assess long-term water-quality conditions and detect temporal trends. These data augment the data produced by the Hawaii Department of Health Clean Water Branch beach monitoring program on Maui.

Please use the most recent version, as it is the latest quality assured data available from the group.
description: Visit huiokawaiola.com for full methods and most recently data and analysis.
DOI: 10.5281/zenodo.2430396
title: Hui o ka Wai Ola Water Quality Data

description: This dataset is the annual report for the Hui o Ka Wai Ola citizen-science based water quality program. Included are physical and chemical data that were collected and analyzed every two or three weeks beginning from June 6, 2016 to January 12, 2018. New results will be posted as available. Please see huiokawaiola.com for more information. 

The goal of the Hui o Ka Wai Ola program is to increase the capacity for monitoring water quality in Maui coastal waters by generating reliable data to assess long-term water-quality conditions and detect temporal trends. These data augment the data produced by the Hawaii Department of Health Clean Water Branch beach monitoring program on Maui.
description: Visit huiokawaiola.com for full methods and most recently data and analysis.
DOI: 10.5281/zenodo.2430447
title: Hui o ka Wai Ola Water Quality Data

description: This dataset is the annual report for the Hui o Ka Wai Ola citizen-science based water quality program. Included are physical and chemical data that were collected and analyzed every two or three weeks beginning from June 6, 2016 to January 12, 2018. New results will be posted as available. Please see huiokawaiola.com for more information. 

The goal of the Hui o Ka Wai Ola program is to increase the capacity for monitoring water quality in Maui coastal waters by generating reliable data to assess long-term water-quality conditions and detect temporal trends. These data augment the data produced by the Hawaii Department of Health Clean Water Branch beach monitoring program on Maui.
description: Visit huiokawaiola.com for full methods and most recently data and analysis.
DOI: 10.5281/zenodo.2562379
title: Hui o ka Wai Ola Water Quality Data

description: This dataset is the annual report for the Hui o Ka Wai Ola citizen-science based water quality program. Included are physical and chemical data that were collected and analyzed every two or three weeks beginning from June 6, 2016 to October 8, 2018. New results will be posted as available. Please see huiokawaiola.com for more information. 

The goal of the Hui o Ka Wai Ola program is to increase the capacity for monitoring water quality in Maui coastal waters by generating reliable data to assess long-term water-quality conditions and detect temporal trends. These data augment the data produced by the Hawaii Department of Health Clean Water Branch beach monitoring program on Maui.

Please use the most recent version, as it is the latest quality assured data available from the group.
description: Visit huiokawaiola.com for full methods and most recently data and analysis.
DOI: 10.5281/zenodo.3238852
title: Hui o ka Wai Ola Water Quality Data

description: This dataset is the annual report for the Hui o Ka Wai Ola citizen-science based water quality program. Included are physical and chemical data that were collected and analyzed every two or three weeks beginning from June 6, 2016 to October 8, 2018. New results will be posted as available. Please see huiokawaiola.com for more information. 

The goal of the Hui o Ka Wai Ola program is to increase the capacity for monitoring water quality in Maui coastal waters by generating reliable data to assess long-term water-quality conditions and detect temporal trends. These data augment the data produced by the Hawaii Department of Health Clean Water Branch beach monitoring program on Maui.

Please use the most recent version, as it is the latest quality assured data available from the group.
description: Visit huiokawaiola.com for full methods and most recently data and analysis.
DOI: 10.5281/zenodo.3661530
title: Hui o ka Wai Ola Water Quality Data

description: This dataset is the quarterly report for the Hui o Ka Wai Ola citizen-science based water quality program. Included are physical and chemical data that were collected and analyzed every two or three weeks beginning from June 6, 2016 to December 13, 2019. New results will be posted as available. Please see huiokawaiola.com for more information. The goal of the Hui o Ka Wai Ola program is to increase the capacity for monitoring water quality in Maui coastal waters by generating reliable data to assess long-term water-quality conditions and detect temporal trends. These data augment the data produced by the Hawaii Department of Health Clean Water Branch beach monitoring program on Maui. Please use the most recent version, as it is the latest quality assured data available from the group.
description: Visit huiokawaiola.com for full methods and most recently data and analysis.
DOI: 10.5281/zenodo.3767053
title: Hui o ka Wai Ola Water Quality Data

description: This dataset is the quarterly report for the Hui o Ka Wai Ola citizen-science based water quality program. Included are physical and chemical data that were collected and analyzed every two or three weeks beginning from June 6, 2016 to March 13, 2020. New results will be posted as available. Please see huiokawaiola.com for more information. The goal of the Hui o Ka Wai Ola program is to increase the capacity for monitoring water quality in Maui coastal waters by generating reliable data to assess long-term water-quality conditions and detect temporal trends. These data augment the data produced by the Hawaii Department of Health Clean Water Branch beach monitoring program on Maui. Please use the most recent version, as it is the latest quality assured data available from the group.
description: Visit huiokawaiola.com for full methods and most recently data and analysis.