cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
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title: 0000148961.tif
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DOI: 10.57745/e8j40u
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DOI: 10.57745/dnjgqa
title: images_informations.dat
DOI: 10.57745/br1mud
title: readme.txt
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DOI: 10.57745/okevfh
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DOI: 10.57745/ggh52m
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DOI: 10.57745/tsqgmv
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DOI: 10.57745/p7z03n
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title: 0000008492.tif
DOI: 10.57745/2kzq5q
title: 0000008493.tif
DOI: 10.57745/cu1clj
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DOI: 10.57745/zlz19l
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DOI: 10.57745/kdulqh
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DOI: 10.57745/6oct2y
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DOI: 10.57745/ei6qrk
title: 0000008499.tif
DOI: 10.57745/v9upr2
title: 0000008500.tif
DOI: 10.6084/m9.figshare.23467922
title: Dataset of metals and metalloids in food crops and soils sampled across the mining region of Moquegua in Peru

description: This dataset provides results for concentrations of 31 heavy metals and metal(loid)s (HMM) in 19 vegetable foods and 23 HMM in agricultural soils collected in the department of Moquegua, located in south eastern Peru (the world´s second largest producer of copper). Samples were taken in different agroecological regions at altitudes between 9 and 3934 meters above sea level (m.a.s.l). The dataset includes a total of 13,828 observations and provides information for each sample on the geographic location of the 341 sampling sites (province, district, farm sector, date taken), coordinates (altitude, latitude, longitude), portion of food crop analysed and analysis method.
DOI: 10.57745/ptml7g
title: 0000008501.tif
DOI: 10.57745/ysnq9c
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DOI: 10.57745/94gu5x
title: 0000008505.tif
DOI: 10.57745/kesg0v
title: 0000008506.tif
DOI: 10.57745/h7hq25
title: 0000008507.tif
DOI: 10.57745/rkn1m0
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DOI: 10.57745/uktqmk
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title: 0000008520.tif
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DOI: 10.57745/zsh0uh
title: 0000008522.tif
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title: 0000008523.tif
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title: 0000008530.tif
DOI: 10.57745/xk4q2d
title: 0000008531.tif
DOI: 10.57745/1x8ny1
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DOI: 10.57745/g7z1td
title: 0000008533.tif
DOI: 10.57745/q5w7s8
title: 0000008534.tif
DOI: 10.57745/bd9rfx
title: 0000008535.tif
DOI: 10.57745/eh6aty
title: 0000008536.tif
DOI: 10.57745/yrmziw
title: 0000008537.tif
DOI: 10.57745/bnqn2m
title: 0000008538.tif
DOI: 10.57745/jzdrgp
title: 0000008539.tif
DOI: 10.57745/agai2x
title: 0000008540.tif
DOI: 10.57745/r5pne6
title: 0000008541.tif
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title: 0000008542.tif
DOI: 10.57745/jtbntw
title: 0000008543.tif
DOI: 10.57745/80tmbp
title: 0000008544.tif
DOI: 10.57745/fyyy2w
title: 0000008545.tif
DOI: 10.57745/zv3wgb
title: 0000008546.tif
DOI: 10.57745/yxwdit
title: 0000008547.tif
DOI: 10.57745/joaiv7
title: 0000008548.tif
DOI: 10.57745/n65vks
title: 0000008549.tif
DOI: 10.57745/uzo3tk
title: 0000008550.tif
DOI: 10.57745/gejy1z
title: 0000008551.tif
DOI: 10.6073/pasta/5835a1fadb7fd65842f90256edae999c
title: Long-term growth, mortality and regeneration of trees in permanent vegetation plots in the Pacific Northwest, 1910 to present

description: A network of more than 130 permanent vegetation plots provides long-term information on patterns and rates of forest succession in most of the major forest zones of the Pacific Northwest. The plot network extends from the coast to the Cascades in western Oregon and Washington and east to ponderosa pine forests in the Oregon Cascades.

Most of the permanent plots were established during two intervals: from 1910 to 1948, and from 1970 to 1989. The earlier plots were established by U.S. Forest Service researchers to quantify timber growth in young stands of important commercial species and to help answer other applied forestry questions. The more recent period of plot establishment began under the Coniferous Forest Biome program of the International Biological Program during the 1970s, and continued under the Long-term Ecological Research program. A broader set of objectives motivated plot establishment since 1970, especially quantification of composition, structure, and population and ecosystem dynamics of natural forests.

Plots have one of three spatial arrangements: (1) contiguous rectangles subjectively placed within an area of homogeneous forest; (2) circular plots subjectively placed within an area of homogeneous forest; and (3) circular plots systematically located on long transects to sample an entire watershed, ridge, or reserve. Rectangular study areas are mostly 1.0 ha or 0.4 ha (1.0 ac) in size (slope-corrected). Circular plots are 0.1 ha (0.247 ac), not corrected for slope. The tree stratum is the focus of work in closed-forest study areas. All trees larger than a minimum diameter (5 cm for most areas) are permanently tagged.

Plots are censused every 5 or 6 years. Attributes measured or assessed at each census include tree diameter, tree vigor, and the condition of the crown and stem. The same attributes are recorded for trees (ingrowth) that have exceeded the minimum diameter since the previous census. In many plots tree locations are surveyed to provide a plot-specific x-y location. A mortality assessment is done for trees that have died since the previous census. The assessment characterizes rooting, stem, and crown condition, obvious signs of distress or disturbance, and the apparent predisposing and proximate causes of tree death.
DOI: 10.15468/dl.ecr4mj
title: Occurrence Download

description: A dataset containing 8486 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.50391 -29.85612,-34.46663 -29.85612,-34.46663 5.92719,-74.50391 5.92719,-74.50391 -29.85612))",
 "TaxonKey is Tinamus solitarius (Vieillot, 1819)"
 ]
}

 The dataset includes 8486 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078045-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60903/gsfcpgda-graillro-interiormodels
title: Lunar interior models from frequency-dependent Love numbers and dissipation determined from GRAIL and LRO data
DOI: 10.34740/kaggle/dsv/9225955
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.15468/dl.26pmvw
title: Occurrence Download

description: A dataset containing 276697 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nyctalus leisleri (Kuhl, 1817)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 276697 records from 2954 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078035-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1640751.08fu
title: SH1640751.08FU

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: 10.25549/one-c4-23005
title: ONE, Inc. promotional materials (1970/1979)

description: ONE, Inc. promotional materials, including event fliers, direct mail, order forms, and announcements (1970/1979). Includes documents related to ONE World Travel Club tours of Europe.
DOI: 10.15156/bio/sh1640752.08fu
title: SH1640752.08FU

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/sh1640753.08fu
title: SH1640753.08FU

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/sh1640754.08fu
title: SH1640754.08FU

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/sh1640755.08fu
title: SH1640755.08FU

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/sh1640756.08fu
title: SH1640756.08FU

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: 10.25549/one-c4-23007
title: ONE, Inc. promotional materials (1970/1979)

description: ONE, Inc. promotional materials, including event fliers, direct mail, order forms, and announcements (1970/1979). Includes documents related to ONE World Travel Club tours of Europe.
DOI: 10.15156/bio/sh1640757.08fu
title: SH1640757.08FU

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/sh1640758.08fu
title: SH1640758.08FU

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/sh1640759.08fu
title: SH1640759.08FU

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/sh1640760.08fu
title: SH1640760.08FU

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.