cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ghydu9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((75.33229799999999 21.53994, 75.25679599999999 21.534363, 75.183171 21.517773, 75.113249 21.490579, 75.048765 21.453459, 74.991314 21.407333, 74.942313 21.353344, 74.90296499999999 21.292829, 74.87423200000001 21.227286, 74.856809 21.158333, 74.85111000000001 21.087673, 74.857258 21.017045, 74.87508699999999 20.948187, 74.904141 20.882792, 74.94369500000001 20.822465, 74.992768 20.768683, 75.05014799999999 20.722764, 75.11442599999999 20.68583, 75.184026 20.658785, 75.25724599999999 20.64229, 75.33229799999999 20.636746, 75.40734999999999 20.64229, 75.48057 20.658785, 75.55016999999999 20.68583, 75.614448 20.722764, 75.671828 20.768683, 75.720901 20.822465, 75.76045499999999 20.882792, 75.789509 20.948187, 75.807338 21.017045, 75.813486 21.087673, 75.807787 21.158333, 75.790364 21.227286, 75.76163099999999 21.292829, 75.722283 21.353344, 75.673282 21.407333, 75.615831 21.453459, 75.55134700000001 21.490579, 75.481425 21.517773, 75.40779999999999 21.534363, 75.33229799999999 21.53994))"},{"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/0001538-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh0175620.10fu
title: SH0175620.10FU

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: 10.17632/3mzwrjjjs6
title: Data on Professional Learning Communities, Experiential Learning, and Teacher Competence: A Case Study in Vietnam

description: Data on Professional Learning Communities, Experiential Learning, and Teacher Competence: A Case Study in Vietnam
DOI: 10.15156/bio/sh0175621.10fu
title: SH0175621.10FU

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/sh0175622.10fu
title: SH0175622.10FU

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/sh0175623.10fu
title: SH0175623.10FU

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: 10.17632/3mzwrjjjs6.3
title: Data on Professional Learning Communities, Experiential Learning, and Teacher Competence: A Case Study in Vietnam

description: Data on Professional Learning Communities, Experiential Learning, and Teacher Competence: A Case Study in Vietnam
DOI: 10.15156/bio/sh0175624.10fu
title: SH0175624.10FU

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: 10.17632/xhdckkj5hb
title: OGTT GLP-2

description: OGTT GLP-2 deidentified dataset
DOI: 10.15156/bio/sh0175625.10fu
title: SH0175625.10FU

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: 10.17632/xhdckkj5hb.1
title: OGTT GLP-2

description: OGTT GLP-2 deidentified dataset
DOI: 10.15156/bio/sh0175626.10fu
title: SH0175626.10FU

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/sh0175627.10fu
title: SH0175627.10FU

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/sh0175628.10fu
title: SH0175628.10FU

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.fgbeuh
title: Occurrence Download

description: A dataset containing 248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chlamydomonas Ehrenberg, 1833"
 ]
}

 The dataset includes 248 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025875-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.athutj
title: Occurrence Download

description: A dataset containing 253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vertigo moulinsiana (Dupuy, 1849)",
 "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 253 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025876-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5tef97
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geomalacus maculosus Allman, 1843",
 "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 34 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025877-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.drrvpz
title: Occurrence Download

description: A dataset containing 828 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Ipomoea purpurea (L.) Roth"
 ]
}

 The dataset includes 828 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025878-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chg2wf
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)",
 "TaxonKey is Suaeda paradoxa (Bunge) Bunge"
 ]
}

 The dataset includes 31 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025879-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.patxg9
title: Occurrence Download

description: A dataset containing 188317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is Natural History Museum (London) Collection Specimens",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 188317 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025872-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2w8fzh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Margaritifera auricularia (Spengler, 1793)",
 "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/0025881-241024112534372/datasets/export for details.
DOI: 10.57830/2306731
title: Klamath Lakes Monitoring Data Package 2013-2019

description: This dataset contains monitoring data for lakes and pond at Crater Lake NP, Lassen Volcanic NP, and Redwood NSP. Ponds and lakes are integral components of the Klamath Network landscape. Healthy water bodies are rich in biodiversity and support many ecosystem functions, but lakes and ponds are complex ecosystems that are influenced by a range of local as well as regional environmental conditions. Therefore, lakes can be useful indicators of impacts from disturbances across the landscape, for example nearby impacts, such as visitor use and distant impacts, such as agricultural activities and wildfires. Since 2013, the Klamath Inventory and Monitoring Network has been conducting monitoring of lakes and ponds in three parks. The protocol combines monitoring water quality characteristics of the lakes, such as the chemical and physical conditions, with monitoring the aquatic communities that the lake supports, such as the fish, plants, and macro invertebrates.

Objectives are to:
Determine the status and trends of ecological conditions in Klamath Network mountain ponds and lakes
Assist parks with “impaired quality waters,” also known as “303d” lists as defined by the Clean Water Act
Assist parks with monitoring of “Outstanding National Resource Waters” or Tier 3 waters as defined by the Clean Water Act
We measure/collect:
Physical environment including substrate composition and percentage, depth, area, water clarity, shoreline complexity, and water level.
Water quality parameters including dissolved oxygen, temperature, specific conductivity, turbidity, and pH.
Water anions, cations, dissolved organic carbon, and nutrients.
Algal biomass.
Littoral zone benthic macroinvertebrates.
Visual Encounter Surveys for amphibians.
Fish populations.
Photographs to provide visual comparisons over time.
DOI: 10.15784/601214
title: Pirrit Hills subglacial bedrock core RB-2, cosmogenic Be-10, Al-26 data

description: This data set contains measurements of cosmic-ray-produced Be-10 and Al-26 in quartz from the RB-2 core, recovered from bedrock at a depth of 150 m below the West Antarctic Ice Sheet surface in the Pirrit Hills. The core site is located at latitude S81.09948, longitude W85.15694. Core length is approximately 8 meters. Lithology is A-type granite, similar in composition to bedrock exposed on nearby Harter Nunatak and other mountains in the Pirrit Hills (Lee et al. Geosci. J. 16, 421-433). Samples were processed at the University of Washington Cosmogenic Nuclide Laboratory. Chemical processing and purification methods are described at http://depts.washington.edu/cosmolab/chem.shtml. Beryllium isotope ratios were measured at the Lawrence Livermore Center for Accelerator Mass Spectrometry (LLNL-CAMS) relative to the KNSTD-Be-01-5-4 standard, assuming a standard Be-10/Be-9 ratio of 2.851E-12 (07KNSTD normalization). Aluminum isotope ratios were measured at PRIME Lab, Purdue University, relative to the KNSTD-Al-01-5-2 standard, assuming a standard Al-26/Al-27 ratio of 1.818E-12 (KNSTD normalization). Uncertainties are 1-sigma and include full AMS errors and all known sources of laboratory uncertainty.
DOI: 10.5281/zenodo.14043098
title: BRD9 inhibition overcomes oncolytic virus therapy resistance in glioblastoma
DOI: 10.5281/zenodo.14043099
title: BRD9 inhibition overcomes oncolytic virus therapy resistance in glioblastoma
DOI: 10.15784/601211
title: Easten Antarctic Peninsula Surface Sediment Diatom Data

description: Diatom data from eastern side of Antarctic Peninsula: This file includes quantitative diatom data for surface samples collected on numerous cruises to the eastern side of the Antarctic Peninsula, including NBP0003, NBP0107, LMG0502, NBP0603, and NBP1203. Samples were collected using a variety of tools including Smith-McIntyre Grab, Kasten Core and Jumbo Kasten Core. These data were generated by Amy Leventer (aleventer@colgate.edu) and undergraduate students at Colgate University. All questions regarding the specifics of these data should be directed to Amy Leventer. Quantitative diatom slides were prepared according to the settling technique of Scherer (1995). Cover slips were adhered to the slides using Norland Optical Adhesive #61. Slides were observed under Olympus CX31, BX50 and BX60, and Zeiss Primo Star light microscopes, using a 100X oil immersion objective for a total magnification of 1000X. A minimum of 400 valves or 10 transects was counted for each slide, depending on the absolute diatom abundance. Valves were only counted if &gt;50% complete. Diatoms were identified to species level when possible (Crosta et al., 2005; Armand et al., 2005; Cefarelli et al., 2010). Armand, L.K., X. Crosta, O. Romero, J. J. Pichon (2005), The biogeography of major diatom taxa in Southern Ocean sediments: 1. Sea ice related species, Paleogeography, Paleoclimatology, Paleoecology, 223, 93-126. Cefarelli, A.O., M. E. Ferrario, G. O. Almandoz, A. G. Atencio, R. Akselman, M. Vernet (2010), Diversity of the diatom genus Fragilariopsis in the Argentine Sea and Antarctic waters: morphology, distribution and abundance, Polar Biology, 33(2), 1463-1484. Crosta, X., O. Romero, L. K. Armand, J. Pichon (2005), The biogeography of major diatom taxa in Southern Ocean sediments: 2. Open ocean related species, Palaeogeography, Palaeoclimatology, Palaeoecology, 223, 66-92. Scherer, R. P., A new method for the determination of absolute abundance of diatoms and other silt-sized sedimentary particles, J. Paleolimnol., 12, 171–178, 1995.
DOI: 10.15468/dl.mdhmrt
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Unio elongatulus C.Pfeiffer, 1825",
 "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 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025883-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15784/601217
title: Automatic Weather Station Pine Island Glacier

description: Automatic Weather Station, located on Pine Island Glacier. Data set from 2008-2015.
DOI: 10.15784/601219
title: Sea ice and chlorophyll concentrations in Antarctic coastal polynyas and seasonal ice zones

description: The dataset includes 1) sea ice concentrations in Antarctic coastal polynyas (1979-2015) and seasonal ice zones (1978-2019); 2) chlorophyll concentrations in Antarctic coastal polynyas (1997-2015) and seasonal ice zones (1997-2019). The sea ice dataset is a tailored product after processing a global-scale sea ice data product managed by National Snow and Ice Data Center. The chlorophyll dataset is a tailored product after processing a global-scale ocean color dataset produced by GLOBCOLOUR, the European Service for Ocean Colour
DOI: 10.6084/m9.figshare.25037990.v1
title: Supplementary Table 1

description: Metadata for supplementary data 1