cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0215209.10fu
title: SH0215209.10FU

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/sh0215210.10fu
title: SH0215210.10FU

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/sh0215211.10fu
title: SH0215211.10FU

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/sh0215212.10fu
title: SH0215212.10FU

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.96sn85
title: Occurrence Download

description: A dataset containing 34542262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is South Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 34542262 records from 189 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002736-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1126688
title: Data from a Borehole Survey at North of Great Ouse (Westbury Viaduct), Westbury, Aylesbury Vale, Buckinghamshire, 207-2018 (HS2 Phase One)

description: This collection comprises of reports, spreadsheet, image, GIS and site record data from a borehole survey at north of Great Ouse (Westbury Viaduct), Westbury, Aylesbury Vale, Buckinghamshire, 207-2018.The results of the borehole investigation and deposit modelling have recorded an alluvial sequence (undated), which for the most part is inorganic with limited palaeoenvironmental potential. Where a localised more organic alluvium has been recorded associated with a palaeochannel, this still has a high mineral content and no true peat deposits were recorded. The sequences are waterlogged and have the potential to preserve organic remains, including wooden artefacts and/or riverside structures, although no archaeological remains or artefacts were recovered during the borehole work. No buried soils were noted, although the surface of the Pleistocene gravel should be considered a key archaeological horizon for the preservation of in situ artefact scatters and cut features prior to the onset of alluvial deposition. However, the direct below ground construction impacts for this Site are likely to be minimal and unlikely to reach the depth of either the organic alluvium or alluvial-gravel interface. No further work is recommended.
DOI: 10.23729/fd-16916fca-740a-3f41-9c23-db41bbf587f2
title: 16S rRNA sequences of playground samples in Skåne area.

description: Dirt samples were collected from 50 playgrounds in Skåne area, Sweden. Dirt samples were collected in the middle of the slide landing area in a square of 60 x 30 cm.
DOI: 10.15468/dl.wnurjs
title: Occurrence Download

description: A dataset containing 3606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Planchonella obovata (R.Br.) Pierre"
 ]
}

 The dataset includes 3606 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002744-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75va8p
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-20.64723 29.74421,15.64723 29.74421,15.64723 44.25579,-20.64723 44.25579,-20.64723 29.74421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Moricandia foetida Bourg."
 ]
}

 The dataset includes 116 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002746-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vvvm8t
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Muntiacus vaginalis (Boddaert, 1785)"
 ]
}

 The dataset includes 21 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002747-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p9fdej
title: Occurrence Download

description: A dataset containing 1456 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-21.14723 32.74421,15.14723 32.74421,15.14723 47.25579,-21.14723 47.25579,-21.14723 32.74421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Moricandia moricandioides (Boiss.) Heywood"
 ]
}

 The dataset includes 1456 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002750-250221090833381/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.27626286
title: High Resolution Water Quality Dataset of Chinese Lakes and Reservoirs from 2000 to 2023

description: The dataset includes monthly data of eight water quality parameters for lakes and reservoirs in China from 2000 to 2023. The data were simulated using random forest models, taking into account the impacts of climate, soil properties, and anthropogenic activities. These water quality parameters are pH, dissolved oxygen (DO; mg/L), total nitrogen (TN; mg/L), total phosphorus (TP; mg/L), permanganate index (CODMn; mg/L), turbidity (Tur; JTU), electrical conductivity (EC; S/m) and dissolved organic carbon (DOC; mg/L). The data is stored in CSV format, sorted by lake and reservoir, and each CSV file contains monthly water quality data for the lake or reservoir and corresponding coordinates.
DOI: 10.15468/dl.5jmay2
title: Occurrence Download

description: A dataset containing 1171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-17.11270 21.06025,45.11270 21.06025,45.11270 45.93975,-17.11270 45.93975,-17.11270 21.06025))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Moricandia nitens (Viv.) E.A.Durand & Barratte"
 ]
}

 The dataset includes 1171 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002751-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1124400
title: Site Data from an Archaeological Evaluation at Turnpike Road, Red Lodge, Suffolk, September to November 2021

description: This collection comprises images, site records and a report from an archaeological evaluation by Pre-Construct Archaeology at Turnpike Road, Red Lodge, Suffolk in November 2021. The site is part of a proposed residential development. The excavation revealed several pre-historic features from the late Mesolithic to the early Iron Age.
DOI: 10.15468/dl.fk3k7v
title: Occurrence Download

description: A dataset containing 315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Awaous melanocephalus (Bleeker, 1849)"
 ]
}

 The dataset includes 315 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002752-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1126125
title: Digital Archive from Archaeological Works at Hornscroft Park, Bolsover, Derbyshire, January-February 2024

description: This collection comprises images, reports, site records, spreadsheets, and databases from a watching brief and a strip, map and sample investigation at Hornscroft Park, Bolsover, Derbyshire. This work was undertaken by Ecus Ltd in January and February 2024. Two pits were exposed that contained material dating from the 12th to 14th centuries. Associated finds included butchered animal bone, evidence for iron working, and a partial neonatal or foetal equid, which may suggest horse breeding took place in the area. An undated linear feature and a ditch may together represent the truncated remains of a paddock, supporting the presence of livestock during the medieval period.
DOI: 10.6084/m9.figshare.28333115
title: data&code2025.zip

description: Natural resources management policies are critical for biodiversity preservation, yet their broader socioeconomic implications remain poorly understood. Using the seasonal fishing ban implemented along the Yangtze River since 2003 as a case study, we provide the first causal evidence of how such policies may unintentionally enhance science and innovation by increasing the availability and diversity of research materials. The analysis reveals that the ban spurred higher quality research inquiries about Yangtze River fish. Funded programs doubled and funding amounts more than tripled. Scientific output grew dramatically, with publications more than tripled, citations augmented more than five-fold, and related books, patents, awards, and media coverage all significantly increased. We demonstrate that the relative increase in biological research materials (in both quantity and diversity) drives the result, rather than other attention-based or policy-based channels. We conclude that preserving nature is not only an ecological duty but could also be a strategic investment in the future of science and innovation.
DOI: 10.6084/m9.figshare.28333115.v2
title: data&code2025.zip

description: Natural resources management policies are critical for biodiversity preservation, yet their broader socioeconomic implications remain poorly understood. Using the seasonal fishing ban implemented along the Yangtze River since 2003 as a case study, we provide the first causal evidence of how such policies may unintentionally enhance science and innovation by increasing the availability and diversity of research materials. The analysis reveals that the ban spurred higher quality research inquiries about Yangtze River fish. Funded programs doubled and funding amounts more than tripled. Scientific output grew dramatically, with publications more than tripled, citations augmented more than five-fold, and related books, patents, awards, and media coverage all significantly increased. We demonstrate that the relative increase in biological research materials (in both quantity and diversity) drives the result, rather than other attention-based or policy-based channels. We conclude that preserving nature is not only an ecological duty but could also be a strategic investment in the future of science and innovation.
DOI: 10.6084/m9.figshare.28333115.v1
title: data&code2025.zip

description: Natural resources management policies are critical for biodiversity preservation, yet their broader socioeconomic implications remain poorly understood. Using the seasonal fishing ban implemented along the Yangtze River since 2003 as a case study, we provide the first causal evidence of how such policies may unintentionally enhance science and innovation by increasing the availability and diversity of research materials. The analysis reveals that the ban spurred higher quality research inquiries about Yangtze River fish. Funded programs doubled and funding amounts more than tripled. Scientific output grew dramatically, with publications more than tripled, citations augmented more than five-fold, and related books, patents, awards, and media coverage all significantly increased. We demonstrate that the relative increase in biological research materials (in both quantity and diversity) drives the result, rather than other attention-based or policy-based channels. We conclude that preserving nature is not only an ecological duty but could also be a strategic investment in the future of science and innovation.
DOI: 10.15468/dl.bg66mf
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.59247 5.44365,91.40753 5.44365,91.40753 36.55635,13.59247 36.55635,13.59247 5.44365))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Moricandia sinaica (Boiss.) Boiss."
 ]
}

 The dataset includes 99 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002759-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fdsg9u
title: Occurrence Download

description: A dataset listing the 10 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Japan)",
 "TaxonKey is Trichosanthes rosthornii Harms",
 "Year 1000-2025"
 ]
}

 The dataset's 10 records were derived from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002748-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pzseat
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-15.95376 26.72183,22.95376 26.72183,22.95376 42.27817,-15.95376 42.27817,-15.95376 26.72183))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Moricandia suffruticosa (Desf.) Coss. & Durieu"
 ]
}

 The dataset includes 64 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002753-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2dynv
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Bascanichthys sibogae (Weber, 1913)"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002754-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jym45h
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Araucarius minor Kuschel, 1966",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002761-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6uj6jx
title: Occurrence Download

description: A dataset containing 16003 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Chromis margaritifer Fowler, 1946"
 ]
}

 The dataset includes 16003 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002762-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.swtkpy
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Moricandia spinosa Pomel"
 ]
}

 The dataset includes 52 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002755-250221090833381/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.28147765
title: Mutational and co-mutational landscape of early onset colorectal cancer

description: Colorectal cancer (CRC) incidence and mortality before 50 have been rising alarmingly in the recent decades. Using a cohort of 10,000 patients, this study investigates the clinical, mutational, and co-mutational features of CRC in early-onset (EOCRC, &lt; 50 years) compared to late-onset (LOCRC, ≥ 50 years). EOCRC was associated with a higher prevalence of Asian and Hispanic patients, rectal or left-sided tumors (72% vs. 59%), and advanced-stage disease. Molecular analyses revealed differences in mutation patterns, with EOCRC having higher frequencies of <i>TP53</i> (74% vs. 68%, <i>p</i> &lt; 0.01) and <i>SMAD4</i> (17% vs. 14%, <i>p</i> = 0.015), while <i>BRAF</i> (5% vs. 11%, <i>p</i> &lt; 0.001) and <i>NOTCH1</i> (2.7% vs. 4.1%, <i>p</i> = 0.01) mutations were more prevalent in LOCRC. Stratification by tumor site and MSI status highlighted significant location- and age-specific molecular differences, such as increased <i>KRAS</i> and <i>CTNNB1</i> mutations in right-sided EOCRC and higher <i>BRAF</i> prevalence in MSI-H LOCRC (47% vs. 6.7%, <i>p</i> &lt; 0.001). Additionally, co-occurrence analysis revealed unique mutational networks in EOCRC MSS, including significant co-occurrences of <i>FBXW7</i> with <i>NOTCH3</i>, <i>RB1</i>, and <i>PIK3R1</i>. This study highlights the significance of age-specific molecular profiling, offering insights into the unique biology of EOCRC and potential clinical applications. The unique mutational and co-mutational patterns identified in early-onset colorectal cancer (EOCRC) highlight the necessity for age-specific molecular profiling. These findings can guide tailored therapeutic approaches and improve precision medicine strategies for younger patients with colorectal cancer.The raised prevalence of advanced-stage disease and unique molecular features in EOCRC, such as higher <i>TP53</i> and lower <i>APC</i> mutations, highlight the importance of developing age-adapted screening protocols and prognostic tools to detect and manage EOCRC more effectively. The unique mutational and co-mutational patterns identified in early-onset colorectal cancer (EOCRC) highlight the necessity for age-specific molecular profiling. These findings can guide tailored therapeutic approaches and improve precision medicine strategies for younger patients with colorectal cancer. The raised prevalence of advanced-stage disease and unique molecular features in EOCRC, such as higher <i>TP53</i> and lower <i>APC</i> mutations, highlight the importance of developing age-adapted screening protocols and prognostic tools to detect and manage EOCRC more effectively.