cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive122120.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive122121.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0113764.10fu
title: SH0113764.10FU

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/bacdive122121.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive122122.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0113765.10fu
title: SH0113765.10FU

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/bacdive122122.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive122123.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0113766.10fu
title: SH0113766.10FU

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/bacdive122123.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0113767.10fu
title: SH0113767.10FU

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/bacdive122124.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive122124.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0113768.10fu
title: SH0113768.10FU

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/bacdive122125.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive122125.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0113769.10fu
title: SH0113769.10FU

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/bacdive122126.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive122126.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0113770.10fu
title: SH0113770.10FU

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: 10.5281/zenodo.17466169
title: MSG segment data of  Fatigue Assessment and Sensor Data Fusion Analysis for Special Operations
DOI: 10.5281/zenodo.17466170
title: MSG segment data of  Fatigue Assessment and Sensor Data Fusion Analysis for Special Operations
DOI: 10.57780/eca-b20a886
title: EarthCARE ATLID ICE Level 2A

description: EarthCARE ATLID ICE Level 2A baseline BB
DOI: 10.15468/dl.feqrxq
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Caretta caretta",
 "Year 1950-1960"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004958-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25403/upresearchdata.29504852
title: Nitrate and nitrite data for household slow sand filter denitrification

description: This data encompasses data from denitrification experiments performed at the University of Pretoria. Anoxic batch experiments were performed to determine the optimum C/N ratio for denitrification using sawdust and acetate as carbon sources when paired with a pond sediment derived bacteria inoculum. The denitrification process was then monitored under optimum conditions for 24 hours. Key parameters monitored included nitrate and nitrite concentrations, TOC concentrations, as well as cell growth through optical density measurements. For column experiments fed continuously with 2 L nitrate contaminated feed daily over a period of 30 days, the key parameters monitored included effluent nitrate, nitrite and TOC, as well as microbial diversity variations across filter columns utilizing native and inoculated bacteria. This research highlights the role of the carbon source and bacteria pairings during the maturation of slow sand filter systems.
DOI: 10.25403/upresearchdata.29504852.v1
title: Nitrate and nitrite data for household slow sand filter denitrification

description: This data encompasses data from denitrification experiments performed at the University of Pretoria. Anoxic batch experiments were performed to determine the optimum C/N ratio for denitrification using sawdust and acetate as carbon sources when paired with a pond sediment derived bacteria inoculum. The denitrification process was then monitored under optimum conditions for 24 hours. Key parameters monitored included nitrate and nitrite concentrations, TOC concentrations, as well as cell growth through optical density measurements. For column experiments fed continuously with 2 L nitrate contaminated feed daily over a period of 30 days, the key parameters monitored included effluent nitrate, nitrite and TOC, as well as microbial diversity variations across filter columns utilizing native and inoculated bacteria. This research highlights the role of the carbon source and bacteria pairings during the maturation of slow sand filter systems.
DOI: 10.15468/dl.6usj7y
title: Occurrence Download

description: A dataset containing 11820 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scinax ruber (Laurenti, 1768)"
 ]
}

 The dataset includes 11820 records from 277 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013466-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10051894
title: Antarctic Ice Sheet grounding line discharge from 1996 through last month

description: This dataset provides estimates of grounding line discharge from the Antarctic Ice Sheet and all of it's drainage basins, as described in Davison et al. (submitted). 
Note that this dataset and the associated manuscript are in review
DOI: 10.5281/zenodo.10128573
title: Antarctic Ice Sheet grounding line discharge from 1996 through 2023

description: This dataset provides estimates of grounding line discharge from the Antarctic Ice Sheet and all of it's drainage basins, as described in Davison et al. (submitted). 
Note that this dataset and the associated manuscript are in review.
DOI: 10.5281/zenodo.10183327
title: Antarctic Ice Sheet grounding line discharge from 1996 through 2023

description: This dataset provides estimates of grounding line discharge from the Antarctic Ice Sheet and all of it's drainage basins, as described in Davison et al. (submitted). 
Note that this dataset and the associated manuscript are in review.
DOI: 10.5281/zenodo.10417864
title: Antarctic Ice Sheet grounding line discharge from 1996 through 2023

description: This dataset provides estimates of grounding line discharge from the Antarctic Ice Sheet and all of it's drainage basins, as described in the following pre-print (under review):

Davison, B. J., Hogg, A. E., Slater, T., and Rigby, R. 2023. Antarctic Ice Sheet grounding line discharge from 1996 through 2023. Earth System Science Data. https://doi.org/10.5194/essd-2023-448.

Check the README/UserGuide for summaries of what each .zip file includes

 

Update notes



Updated through November 2023

Improved dataset alignment algorithm

More basins

A more compact zip file of the main dataset: discharge_nc.zip, to save you downloading large files every month. This zip file only includes the NetCDF files of grounding line discharge (note that "discharge.zip" includes the output in csv format as well as NetCDF)


 

Any questions, comments or suggestions, send them to: b.davison@leeds.ac.uk

 

# Note that version 3 of this dataset and the associated manuscript are in review ###
DOI: 10.5281/zenodo.10700903
title: Antarctic Ice Sheet grounding line discharge from 1996 through 2023

description: This dataset provides estimates of grounding line discharge from the Antarctic Ice Sheet and all of it's drainage basins, as described in the following pre-print (under review):

Davison, B. J., Hogg, A. E., Slater, T., and Rigby, R. 2023. Antarctic Ice Sheet grounding line discharge from 1996 through 2023. Earth System Science Data. https://doi.org/10.5194/essd-2023-448.

Check the README/UserGuide for summaries of what each .zip file includes

 

Update notes



Updated through January 2024

Improved dataset alignment algorithm


 

Any questions, comments or suggestions, send them to: b.davison@leeds.ac.uk

 

# Note that version 5 of this dataset and the associated manuscript are in review ###
DOI: 10.5281/zenodo.13822441
title: Antarctic Ice Sheet grounding line discharge from 1996 to 2024

description: This dataset provides estimates of grounding line discharge from the Antarctic Ice Sheet and all of it's drainage basins, as described in the following pre-print (under review):

Davison, B. J., Hogg, A. E., Slater, T., and Rigby, R. 2023. Antarctic Ice Sheet grounding line discharge from 1996 to 2024. Earth System Science Data. https://doi.org/10.5194/essd-2023-448.

Check the README/UserGuide for summaries of what each .zip file includes

 

Update notes



Updated through July 2024

Improved dataset alignment algorithm


 

Any questions, comments or suggestions, send them to: b.j.davison@sheffield.ac.uk

 

# Note that version 6 of this dataset and the associated manuscript are in review ###
DOI: 10.5281/zenodo.15000071
title: Antarctic Ice Sheet grounding line discharge from 1996 to 2024

description: This dataset provides estimates of grounding line discharge from the Antarctic Ice Sheet and all of it's drainage basins, as described in the following pre-print (under review):

Davison, B. J., Hogg, A. E., Slater, T., and Rigby, R. 2023. Antarctic Ice Sheet grounding line discharge from 1996 to 2024. Earth System Science Data. https://doi.org/10.5194/essd-2023-448.

Check the README/UserGuide for summaries of what each .zip file includes

 

Update notes



Updated through July 2024

Improved dataset alignment algorithm

Removal of the discharge dataset derived from a tuned bed estimate


 

Any questions, comments or suggestions, send them to: b.j.davison@sheffield.ac.uk

 

# Note that version 7 of this dataset and the associated manuscript are in review ###
DOI: 10.15468/dl.a8r9z7
title: Occurrence Download

description: A dataset containing 9313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Spea multiplicata (Cope, 1863))"
 ]
}

 The dataset includes 9313 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041055-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f8h9cr
title: Occurrence Download

description: A dataset containing 100550 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Typha angustifolia L."
 ]
}

 The dataset includes 100550 records from 1203 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041041-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.agt8je
title: Occurrence Download

description: A dataset containing 2631 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Branchiura sowerbyi Beddard, 1892"
 ]
}

 The dataset includes 2631 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041057-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87umft
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Branchiura sowerbyi Beddard, 1892"
 ]
}

 The dataset's 4 records were derived from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041036-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w9bkfs
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Spea multiplicata stagnalis Cope, 1875)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041058-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbbawv
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Spea multiplicata stagnalis Cope, 1875)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041060-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14523849
title: Global Timber Plants Market 2024 to 2033

description: Timber Plants Market Size, Trends and Insights By Type (Soft, Semi-hard, Hardwoods), By Grade (CLT, Glulam), By Application (Furniture making, Construction Activities, Flooring material., Crafting veneers and plywood., Boat building, Wood carvings and sculptures., Paper and pulp products manufacturing, Others), By End User Industry (Residential, Commercial, Institutional, Industrial, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

Global Timber Plants Market was valued at USD 4,890.6 Million in 2024 and is expected to reach USD  8,027.7 Million by 2033, at a CAGR of 5.68% during the forecast period 2024 – 2033.

Timber Plants are types of trees that are generally medium to large trees. These trees produce wood for commercial, residential and industrial applications. Timber plants are cut down to extract wood that can be used as a building material. Timber plants are also known as “lumber” in North American countries such as US and Canada. Timber trees are broadly classified into trees of soft, semi-hard and hardwoods.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=57054