cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1069972.10fu
title: SH1069972.10FU

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/sh1069973.10fu
title: SH1069973.10FU

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/sh1069974.10fu
title: SH1069974.10FU

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/sh1069976.10fu
title: SH1069976.10FU

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/sh1069978.10fu
title: SH1069978.10FU

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/sh1069979.10fu
title: SH1069979.10FU

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/sh1069980.10fu
title: SH1069980.10FU

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: 10.17866/rd.salford.7953032
title: Art Pop Intersections - Impact and Reach

description: A selection of national and international interviews, reviews, previews, audience data and promotional materials associated with the outputs.<br>The materials are represented as both images and a substantial number of hyperlinks stored in 'references'. <br>Tracks from the albums in the collection have received significant radio play both nationally and internationally. The Dutch Uncles BBC artist page details their broadcasted live sessions, interviews and 'playlisting'. Singles from the albums been BBC 6music 'A' listed, receiving heavy rotation and reaching 2.5million listeners per week (a link is embedded to corroborate this figure).<br><br>
DOI: 10.6084/m9.figshare.27220806
title: RCode for models and graphs in "Reciprocal signalling during approaches relates to close relationships within and between two primate species". Grampp et al.

description: RCode used to analyze datasets and create figures in article "Reciprocal signalling during approaches relates to close relationships within and between two primate species". Grampp et al.
DOI: 10.6084/m9.figshare.27220797
title: Datasets for models 1-6 in "Reciprocal signalling during approaches relates to close relationships within and between two primate species" Grampp et al.

description: Datasets used in "Reciprocal signalling during approaches relates to close relationships within and between two primate species". Grampp et al.
DOI: 10.15468/dl.9gzvuc
title: Occurrence Download

description: A dataset containing 3839 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Species composition and distribution of anopheles gambiae complex circulating in Kinshasa",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3839 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000276-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4ys65
title: Occurrence Download

description: A dataset containing 1047 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Otiorhynchus porcatus (Herbst, 1795)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1047 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000275-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xb9qes
title: Occurrence Download

description: A dataset containing 59168 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ginkgo biloba L."
 ]
}

 The dataset includes 59168 records from 668 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000235-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-dc-2107037105
title: Self-supervised image restoration in coherent X-ray neuronal microscopy

description: Coherent X-ray microscopy is emerging as a transformative technology for neuronal imaging, with the potential to offer a scalable solution for reconstruction of neural circuits in millimeter sized tissue volumes. Specifically, X-ray holographic nanoto-mography (XNH) brings together outstanding capabilities in terms of contrast, spatial resolution and data acquisition speed. While recent XNH developments already enabled generating valuable datasets for neuro-sciences, a major challenge for reconstruction of neural circuits remained overcoming resolving power limits to distinguish smaller neurites and synapses in the reconstructed volumes. Here we present a self-supervised image restoration approach that simultaneously improves spatial resolution, contrast, and data acquisition speed. This enables revealing synapses with XNH, marking a major milestone in the quest for generating connectomes of full mammalian brains. We demonstrate that this method is effective for various types of neuronal tissues and acquisition schemes. We propose a scalable implementation compatible with multi-terabyte image volumes. Altogether, this work brings large-scale X-ray nanotomography to a new precision level.
DOI: 10.15468/dl.t5z3mw
title: Occurrence Download

description: A dataset containing 1127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sporophila hypoxantha Cabanis, 1851"
 ]
}

 The dataset includes 1127 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000278-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t2th9x
title: Occurrence Download

description: A dataset containing 3044 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sporophila frontalis (J.Verreaux, 1869)"
 ]
}

 The dataset includes 3044 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000277-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khy5wh
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Soldierflies and Allies Recording Scheme - data verified via iRecord",
 "Geometry POLYGON((0.7 52.3,0.8 52.3,0.8 52.4,0.7 52.4,0.7 52.3))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2015"
 ]
}

 The dataset's 3 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000268-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.69udf3
title: Occurrence Download

description: A dataset containing 820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sporophila melanogaster (Pelzeln, 1870)"
 ]
}

 The dataset includes 820 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000279-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-dc-2107037113
title: Self-supervised image restoration in coherent X-ray neuronal microscopy

description: Coherent X-ray microscopy is emerging as a transformative technology for neuronal imaging, with the potential to offer a scalable solution for reconstruction of neural circuits in millimeter sized tissue volumes. Specifically, X-ray holographic nanoto-mography (XNH) brings together outstanding capabilities in terms of contrast, spatial resolution and data acquisition speed. While recent XNH developments already enabled generating valuable datasets for neuro-sciences, a major challenge for reconstruction of neural circuits remained overcoming resolving power limits to distinguish smaller neurites and synapses in the reconstructed volumes. Here we present a self-supervised image restoration approach that simultaneously improves spatial resolution, contrast, and data acquisition speed. This enables revealing synapses with XNH, marking a major milestone in the quest for generating connectomes of full mammalian brains. We demonstrate that this method is effective for various types of neuronal tissues and acquisition schemes. We propose a scalable implementation compatible with multi-terabyte image volumes. Altogether, this work brings large-scale X-ray nanotomography to a new precision level.
DOI: 10.57680/asep.0602162
title: Evaluation of the METRIC and TSEB remote sensing evapotranspiration models in the floodplain area of the Thaya and Morava Rivers

description: The attached file contains 7 graphs related to the study: Study region: Floodplain ecosystem region at the confluence of the Morava and Thaya Rivers, the Czech Republic. Study focus: Accurate determination of actual evapotranspiration (ETa) is essential for understanding surface hydrological conditions. The aim of this study was to evaluate two remote sensing models, METRIC and TSEB, for estimating ETa and energy fluxes in two ecosystems using the eddy covariance (EC) as a reference. New hydrological insights for the region: Both models demonstrate the ability to quantify ETa across the region. Compared with the METRIC, which had a mean bias error (MBE) = 0.12 mm/day, the TSEB better detected ETa in the forest test site (MBETSEB = -0.03 mm/day). In contrast, the METRIC improved detection of ETa (MBEMETRIC = -0.03 mm/day) in grassland test site, where the TSEB overestimate daily ETa (MBETSEB = 0.52 mm/day). The models and EC indicate similar seasonal dynamics of the evaporative fraction and Bowen ratio throughout the growing season. Despite the overall agreement between the models and EC, the selected spatial outputs indicate some disagreement among them in terms of the spatial patterns of ETa. This disagreement is related to the sensitivity of TSEB to canopy height/roughness, as well as the a priori Priestley–Taylor coefficient in forests. Despite these shortcomings, this study highlights the applicability of remote sensing energy balance-based diagnostic models for studying hydrological processes in a spatially distributed manner. This deposit contains 6 .xlsx files. Files 1–4 represent a combination of outputs from available models (TSEB, METRIC) and eddy covariance measurements for specific ecosystems (grassland, forest) during the period 2015–2021. These files contain energy balance and evapotranspiration data, including the Bowen ratio and evaporation fraction derived from eddy covariance measurements. Files 5 and 6 contain measured daily eddy covariance evapotranspiration data and interpolated daily model data for the period 2015–2021 in grassland and forest ecosystems. These files are supplemented with directly available clear-sky evapotranspiration data from the TSEB and METRIC models.
DOI: 10.18150/reyoew
title: Badanie odporności chemicznej i mechanicznej kompozytu budowlanego - żywica epoksydowa wypełniona cegłą

description: Opis rezultatów badań morfologii powierzchni kompozytu żywica epoksydowa- odpady budowlane poddanego agresywnemu oddziaływaniu chemicznemu. Artykuł w formule OA w którym opisano metodykę badań, wykorzystany sprzęt dostępny pod adresem: https://www.sciencedirect.com/science/article/pii/S0043164825000845W niniejszym zbiorze danych załączono rezultaty pomiarów powierzchni badanych kompozytów poddanych oddziaływaniu chemicznemu (syntetyczny kwaśny deszcz, syntetyczna woda morska, roztwór NaOH 2% oraz 20% oraz roztwór H2SO4 sporządzony tak aby pH cieczy wyniosło 1). Pliki zapisane w formacie .acs możliwe do otworzenia w notatniku zawierają 3 współrzędne xyz badanych powierzchni. Na tej podstawie jak wskazano w powyższym artykule można określić niektóre z prarametrów opisujących morfologię powierzchni.
DOI: 10.15468/dl.4y6ts4
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Soldierflies and Allies Recording Scheme - data verified via iRecord",
 "Geometry POLYGON((-0.2 51.1,-0.1 51.1,-0.1 51.2,-0.2 51.2,-0.2 51.1))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2015"
 ]
}

 The dataset's 3 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000269-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddc3z8
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "DatasetKey is Museu Paraense Emílio Goeldi - Ornithology Collection - Feathers_and_Skin",
 "DatasetKey is AMNH Bird Collection",
 "DatasetKey is iNaturalist Research-grade Observations",
 "DatasetKey is Coleção de Aves do Museu Nacional / UFRJ",
 "DatasetKey is Field Museum of Natural History (Zoology) Bird Collection",
 "DatasetKey is Macaulay Library Audio and Video Collection",
 "DatasetKey is Museu_Paraense_Emilio_Goeldi_Ornithology_Collection-Skin",
 "DatasetKey is International Barcode of Life project (iBOL)",
 "DatasetKey is Xeno-canto - Bird sounds from around the world"
 ]
 },
 "TaxonKey is Amazona kawalli Grantsau & Camargo, 1989"
 ]
}

 The dataset includes 42 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0253445-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6dfyb
title: Occurrence Download

description: A dataset containing 1187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Morocco",
 "Geometry POLYGON((-34.15433 2.41890,76.15433 2.41890,76.15433 46.58110,-34.15433 46.58110,-34.15433 2.41890))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bubo ascalaphus Savigny, 1809"
 ]
}

 The dataset includes 1187 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000280-250310093411724/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.28564997
title: Trelusback Farm Data.xlsx

description: Assessing the habitat preference of water at the site of Trelusback Farm, Cornwall.
DOI: 10.5519/qd.jsfgzn7o
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (156 records)
DOI: 10.15468/dl.yyngfj
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Xerus inauris (Zimmermann, 1780)"
 ]
}

 The dataset includes 170 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000281-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wsknbc
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Soldierflies and Allies Recording Scheme - data verified via iRecord",
 "Geometry POLYGON((-0.4 51.4,-0.3 51.4,-0.3 51.5,-0.4 51.5,-0.4 51.4))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2015"
 ]
}

 The dataset's 3 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000272-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.