cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1480940.08fu
title: SH1480940.08FU

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/sh1480941.08fu
title: SH1480941.08FU

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/sh1944443.08fu
title: SH1944443.08FU

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/sh1944444.08fu
title: SH1944444.08FU

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/sh1944445.08fu
title: SH1944445.08FU

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/sh1480942.08fu
title: SH1480942.08FU

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: 10.6084/m9.figshare.28786301
title: the data of paper <b>Efficiency of policy responses to public emergency in the construction industry: A </b><b>survey</b><b>of </b><b>China</b>

description: Effective policy responses to urgent situations such as the COVID-19 pandemic are critical for the construction industry to increase its resilience. Therefore, it is essential to understand the underlying correlation mechanisms that determine spatiotemporal response efficiency. This study investigates the efficiency of policy implementation involving public emergency prevention and control of construction costs.A survey was conducted to collect responses during a representative period of the COVID-19 pandemic (Q1 2020 - Q3 2022) across 31 provinces in China. The data analysis employed a Zero-inflated Poisson regression model to explore efficiency mechanisms in five dimensions. The findings suggest that policy-response efficiency follows a 'U' shaped trend over time. Furthermore, the absolute construction scale was not significantly associated with response efficiency, whereas the relative scale hindered its improvement. The younger age of key leaders in housing and construction departments has a positive effect, although its impact is small. Local fiscal extractive capacity is not a key factor influencing response efficiency, but higher fiscal allocation capacity reduces its level. A higher recovery capacity from public emergencies is the main driver for the improvement of response efficiency, while the severity of public emergencies has the opposite effect. Finally, the study observes that vertical hierarchical pressure is not conducive to response efficiency, and pressure from neighboring provinces plays a minor role. These findings provide valuable insights for improving the response efficiency of the construction industry to emergencies.
DOI: 10.17632/nyf3pcc7bx.1
title: Whole exome sequencing of apocrine adenocarcinoma

description: Whole exome sequencing of apocrine adenocarcinoma
DOI: 10.17632/j36gcwd7hz.1
title: JH demand data

description: The demand data on Beijing-Shanghai HSR line.
DOI: 10.15468/dl.qae7wv
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithops herrei L.Bolus"
 ]
}

 The dataset includes 40 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043237-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rvcdw289vm.1
title: Earthquakes NW of Targu Jiu city (Romania) located using JHD technique

description: Location data obtained using the Joint Hypocenter Determination (JHD) technique for the earthquakes recorded NW of Targu Jiu city (Gorj region, Romania), approximately between 23.0 and 23.4 longitude E and 45.0 and 45.3 latitude N. The catalogue contains events recorded before the sequence of 2023 (since 10/01/2015) and during the sequence (between 13/02/2023 and 24/10/2023), in total 4275 events. 

Header description: 
DATE – event date 
TIME- event time (UTC) 
LAT – latitude (N) 
LON – longitude (E) 
DEPTH – hypocentre depth (in km) 
RMS – root mean square value (in s) 
NS – number of stations used in location 
GAP - the gap in azimuth coverage (degrees) 

Depth value with index "f" means fixed value (no convergence on depth).
DOI: 10.17632/mbpyz4dc9d.1
title: TOTE UPP&grain yield

description: TOTE-protein concentration
UPP-gluten strength
DOI: 10.15468/dl.d4den2
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lindsaea bakeri (C.Chr.) C.Chr."
 ]
}

 The dataset includes 82 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043238-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sacvh9
title: Occurrence Download

description: A dataset containing 622 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lilium lophophorum (Bureau & Franch.) Franch."
 ]
}

 The dataset includes 622 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043239-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w94gua
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptosiphonium papuanum (S.Moore) Bremek. & Nann.-Bremek."
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043240-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ujfr7
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithops hookeri (A.Berger) Schwantes"
 ]
}

 The dataset includes 97 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043241-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/7957866
title: Data Scientist - Linkedin Job Postings
DOI: 10.15468/dl.43zkrn
title: Occurrence Download

description: A dataset containing 258 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lindsaea blanda Mett."
 ]
}

 The dataset includes 258 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043242-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/7957871
title: Data Analyst Job Postings
DOI: 10.5281/zenodo.10854842
title: Data from: Unexpected stability in faunal population abundances following an estuary-wide collapse of oysters

description: Data describing the number and lengths of fish and macroinvertebrates sampled from long-term fisheries independent sampling in Florida’s coastal waters. Original data were collected by the Florida Fish and Wildlife Conservation Commission (FWC) Fish and Wildlife Research Institute (FWRI).
description: Live oyster reefs are considered a critical recruitment habitat for estuarine faunal populations as localized in-situ or mesocosm studies have demonstrated many faunal species prefer live oyster habitat. It has therefore been assumed that the loss of live oyster habitat would precipitate faunal population declines, but this has been largely untested at large (estuary) scales. Here, we assessed how estuary-wide faunal populations were affected by a 95% loss of live oyster habitat following the 2012 oyster collapse of Apalachicola Bay, FL – which previously supported one of the largest oyster fisheries in the United States. We standardized long-term fisheries-independent monitoring seine and trawl data to create relative indices of resident, associated, and transient faunal species’ overall abundance and recruit abundance (restrictive to sizes between 15–35% of  ). We expected that both relative abundance indices would decrease following the oyster collapse, particularly among species that reside on or recruit to oyster reefs. However, analyses via a series of one-sided Bayesian t-tests did not indicate that faunal recruitment or overall abundance significantly declined in 2012 post-collapse. As the response of the faunal population could be lagged relative to the 2012 collapse, we also conducted change point analyses to search for lagged declines. Of the 24 relative abundance time series, only two had significant change points post-collapse, and only black sea bass overall relative abundance declined with an associated changepoint at the end of the time series. The surprising paucity of faunal decline following oyster loss may be due to the use of alternative habitat types, exceptionally lagged faunal responses, or, perhaps most compelling, a disconnect between preferred and required habitat. Our failure to detect faunal consequences following an oyster population collapse suggests that assumptions of habitat loss (or restoration) effects on estuarine fauna at ecosystem scales are not straightforward and the extrapolation of sub estuary-scale studies may result in poor predictions of future outcomes.
DOI: 10.15468/dl.zrumhe
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptosiphonium stricklandii F.Muell."
 ]
}

 The dataset includes 26 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043244-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnzmeh
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lilium mackliniae Sealy"
 ]
}

 The dataset includes 48 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043243-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsqw7p
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithops julii (Dinter & Schwantes) N.E.Br."
 ]
}

 The dataset includes 56 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043246-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khb9qw
title: Occurrence Download

description: A dataset containing 751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crabbea acaulis N.E.Br., Crabbea cirsioides (Nees) Nees, Crabbea nana (Nees) Nees, Crabbea velutina S.Moore)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 751 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043245-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2qxes
title: Occurrence Download

description: A dataset containing 2135030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is New Zealand",
 "Year 1970-2000"
 ]
}

 The dataset includes 2135030 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043220-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.enb8bx
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lindsaea blotiana K.U.Kramer"
 ]
}

 The dataset includes 57 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043248-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhj3ah
title: Occurrence Download

description: A dataset containing 510 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Alternanthera philoxeroides (Mart.) Griseb.",
 "Year 1000-2024"
 ]
}

 The dataset includes 510 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043247-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2nzscg
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptosiphonium versicolor (S.Moore) Bremek. & Nann.-Bremek."
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043249-240321170329656/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.21687971
title: Data Immune gene expression and epigenetic potential affects the consumption of risky food by house sparrows

description: The data includes behavioral data and TLR4 expression in the gut
DOI: 10.6084/m9.figshare.21687971.v1
title: Data Immune gene expression and epigenetic potential affects the consumption of risky food by house sparrows

description: The data includes behavioral data and TLR4 expression in the gut
DOI: 10.5281/zenodo.10657428
title: The Q-TOF proteomics data for the identification of mammalian L-fucose dehydrogenase (EC 1.1.1.122)

description: The enclosed zip file contains data files (RAW format) from MS^E experiment. The experiment was performed with the use of Acquity nanoUPLC coupled with a Synapt G2 HDMS Q-TOF mass spectrometer (Waters) fitted with a nanospray source. It aimed at the identification of proteins present in the gel bands S1-S9 and the gel band Z1. The bands have come from SDS-PAGE and zymography analyses, respectively, of the most active enzyme fraction from the Reactive Red Agarose 120 purification step.
DOI: 10.5281/zenodo.10657429
title: The Q-TOF proteomics data for the identification of mammalian L-fucose dehydrogenase (EC 1.1.1.122)

description: The enclosed zip file contains data files (RAW format) from MS^E experiment. The experiment was performed with the use of Acquity nanoUPLC coupled with a Synapt G2 HDMS Q-TOF mass spectrometer (Waters) fitted with a nanospray source. It aimed at the identification of proteins present in the gel bands S1-S9 and the gel band Z1. The bands have come from SDS-PAGE and zymography analyses, respectively, of the most active enzyme fraction from the Reactive Red Agarose 120 purification step.
DOI: 10.15468/dl.mehtqa
title: Occurrence Download

description: A dataset containing 720 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lilium maculatum Thunb."
 ]
}

 The dataset includes 720 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043250-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k77amc
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithops karasmontana (Dinter & Schwantes) N.E.Br."
 ]
}

 The dataset includes 80 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043251-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ky48gk
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Bell Museum plants, University of Manitoba Herbarium (WIN) - Vascular Plant Collection, Carnegie Museum of Natural History Herbarium)",
 "GadmGid is USA.24_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lonicera morrowii A.Gray"
 ]
}

 The dataset includes 70 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043252-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.78gf4y
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-84.17844 45.73951,-83.4423 45.73951,-83.4423 46.2111,-84.17844 46.2111,-84.17844 45.73951))",
 "TaxonKey is Xironodrilus formosus Ellis, 1918"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043253-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5wxsja
title: Occurrence Download

description: A dataset containing 1146 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lindsaea bonii Christ"
 ]
}

 The dataset includes 1146 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043254-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.