cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14523850
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.

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DOI: 10.6084/m9.figshare.5584441.v1
title: TEST1.csv

description: Opensource data
DOI: 10.15468/dl.vm6tea
title: Occurrence Download

description: A dataset containing 402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Stereochilus marginatus (Hallowell, 1856))"
 ]
}

 The dataset includes 402 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041062-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysjg4a
title: Occurrence Download

description: A dataset containing 5126 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptonetidae"
 ]
}

 The dataset includes 5126 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041063-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.2909/0595398b-e05a-42c6-9e7d-accd258b9e5e
title: Reported information on large combustion plants under the Energy Community Treaty, 2024 (Tabular data)

description: This dataset contains the location and administrative data for Large Combustion Plants in the Energy Community participating countries, as well as more detailed data on energy input and emissions to air. These data are reported to EEA under the Energy Community Treaty. Warning: Reporting countries have only recently started to report and it is expected that data quality will increase as experience in reporting consolidates. Countries will be correcting the reported data and updates will be posted accordingly. The metadata document provides further information on this matter. Data covers 2018-2023.
DOI: 10.60656/18a29497fae043b5
title: Custom collection of categorize, classification, drizzle, droplet effective radius, ice effective radius, and 2 other products from Lindenberg on 13 Apr 2023
DOI: 10.6084/m9.figshare.5498020.v2
title: Co-Processors for Quantum Devices Workbook

description: This mathematica script implements a new isospectral transformation for tridiagonal matrices based on the Toda flow. It allows the development of coupling schemes for novel application such as creation of GHZ states by the dynamics of the transverse Ising model, and the implementation of optimal universal cloning of qubits.<br>
DOI: 10.15468/dl.4nqeg5
title: Occurrence Download

description: A dataset containing 4305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "TaxonKey is Circus cyaneus (Linnaeus, 1766)",
 "Year 2019-2024"
 ]
}

 The dataset includes 4305 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041064-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79u6gm
title: Occurrence Download

description: A dataset containing 402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Stereochilus marginatus (Hallowell, 1856))"
 ]
}

 The dataset includes 402 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041065-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hswfmx
title: Occurrence Download

description: A dataset containing 108185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Elodea canadensis Michx."
 ]
}

 The dataset includes 108185 records from 792 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041011-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqjz7y
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pseudochazara orestes de Prins & van der Poorten, 1981)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1981",
 "Geometry POLYGON((-30 25,50 25,50 75,-30 75,-30 25))"
 ]
}

 The dataset includes 33 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001001-250324175209820/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j9a6ke
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pseudochazara euxina (Kuznetsov, 1909))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1981",
 "Geometry POLYGON((-30 25,50 25,50 75,-30 75,-30 25))"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001002-250324175209820/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pu2us8
title: Occurrence Download

description: A dataset containing 43757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Arachnida"
 ]
}

 The dataset includes 43757 records from 324 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001000-250324175209820/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xy7pd9
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pseudochazara williamsi Rommei, 1927)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1981",
 "Geometry POLYGON((-30 25,50 25,50 75,-30 75,-30 25))"
 ]
}

 The dataset includes 109 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001004-250324175209820/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2bsn6
title: Occurrence Download

description: A dataset listing the 2319 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Arachnida"
 ]
}

 The dataset's 2319 records were derived from 324 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000992-250324175209820/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9tadxc
title: Occurrence Download

description: A dataset containing 2934 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Specimen)",
 "TaxonKey is Saccopteryx bilineata (Temminck, 1838)",
 "Year 1970-2025"
 ]
}

 The dataset includes 2934 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001003-250324175209820/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dffmgs
title: Occurrence Download

description: A dataset containing 14983 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coenonympha dorus Esper, 1782)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1981",
 "Geometry POLYGON((-30 25,50 25,50 75,-30 75,-30 25))"
 ]
}

 The dataset includes 14983 records from 291 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001005-250324175209820/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7geab
title: Occurrence Download

description: A dataset containing 1284 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Callistosporium luteo-olivaceum (Berk. & M.A.Curtis) Singer"
 ]
}

 The dataset includes 1284 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001006-250324175209820/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28025279
title: Table_cazy-ko

description: CAZyme subfamily corresponding to the KO groups
DOI: 10.15468/dl.86uyk6
title: Occurrence Download

description: A dataset containing 40669 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coenonympha glycerion Borkhausen, 1788)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1981",
 "Geometry POLYGON((-30 25,50 25,50 75,-30 75,-30 25))"
 ]
}

 The dataset includes 40669 records from 256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001008-250324175209820/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28656107
title: Salmonella phage vB_SalP_CV29

description: This phage is a Salmonella phage that can lyse a variety of Salmonella serotypes, and was isolated and purified for study by the Innovative Team for Research on the Epidemiology of Bacterial Diseases in Animals and Comprehensive Prevention and Control of Bacterial Diseases of the Harbin Veterinary Research Institute of the Chinese Academy of Agricultural Sciences (HVRI).
DOI: 10.6084/m9.figshare.28656107.v1
title: Salmonella phage vB_SalP_CV29

description: This phage is a Salmonella phage that can lyse a variety of Salmonella serotypes, and was isolated and purified for study by the Innovative Team for Research on the Epidemiology of Bacterial Diseases in Animals and Comprehensive Prevention and Control of Bacterial Diseases of the Harbin Veterinary Research Institute of the Chinese Academy of Agricultural Sciences (HVRI).
DOI: 10.15468/dl.w2rrhb
title: Occurrence Download

description: A dataset containing 6576 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abeillia abeillei (R.Lesson & Delattre, 1839)"
 ]
}

 The dataset includes 6576 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001010-250324175209820/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmn6xt
title: Occurrence Download

description: A dataset containing 17067 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coenonympha gardetta von Prunner, 1798)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1981",
 "Geometry POLYGON((-30 25,50 25,50 75,-30 75,-30 25))"
 ]
}

 The dataset includes 17067 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001009-250324175209820/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1155547.10fu
title: SH1155547.10FU

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/sh1155554.10fu
title: SH1155554.10FU

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/sh1155556.10fu
title: SH1155556.10FU

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/sh1155559.10fu
title: SH1155559.10FU

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/sh1155562.10fu
title: SH1155562.10FU

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/sh1155563.10fu
title: SH1155563.10FU

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/sh1155568.10fu
title: SH1155568.10FU

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/sh1155572.10fu
title: SH1155572.10FU

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/sh1155575.10fu
title: SH1155575.10FU

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.