cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7798640
title: Non-indigenous seaweed records in the Northeast Atlantic Ocean, the Mediterranean Sea and Macaronesia

description: This dataset accompanies the publication "Non-indigenous seaweeds in the Northeast Atlantic Ocean, the Mediterranean Sea and Macaronesia: a critical synthesis of diversity, spatial and temporal patterns" (van der Loos, Bafort, Bosch, et al. 2023). The dataset is a compilation of non-indigenous marine seaweed species records from three main regions, namely the Northeast Atlantic Ocean (excluding Greenland), the Mediterranean Sea and Macaronesia.


A total of 19,724 records of non-indigenous seaweed records were collected dating from 1808 to 2022. 


For each record, this dataset contains the following information:


SPECIES_SCIENTIFIC_NAME: Currently accepted scientific species name of the record (as of April 2023)


ORIGINAL_RECORD_SCIENTIFIC_NAME: Scientific name that was originally used in the record


YEAR: Year in which the specimen was recorded. Where possible, this date refers to the year the species was first observed rather than when the record was published. In the absence of such information the date refers to the year the first record was published.


LATITUDE: Latitude


LONGITUDE: Longitude


AREA: Northeast Atlantic Ocean, Macaronesia, or the Mediterranean Sea


COUNTRY: Country where the specimen was recorded


LOCATION: Location where the specimen was recorded


LIFE_STAGE: For some records the life stage (gametophyte, sporophyte, tetrasporophyte) has been recorded


DRIFT: Records reported as drifting material are noted in this column as "drift"


DATA_SOURCE: The data source (e.g., publication, project data, herbarium specimen, personal data)


REFERENCE: The reference
DOI: 10.5281/zenodo.10212985
title: KinAce web portal and dataset of kinase-substrate interactions
DOI: 10.5281/zenodo.10212986
title: KinAce web portal and dataset of kinase-substrate interactions
DOI: 10.25405/data.ncl.24125391
title: Newcastle Skeletal Muscle (NCL-SM): A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies

description: NCL-SM: a high quality bioimaging dataset of 46 human tissue sections from healthy control subjects and from patients with genetically diagnosed muscle pathology. These images include &gt; 50k manually segmented muscle fibres (myofibres). In addition we also curated high quality myofibres and annotated reasons for rejecting low quality myofibres and regions in SM tissue images, making this data completely ready for downstream analysis
DOI: 10.25405/data.ncl.24125391.v1
title: Newcastle Skeletal Muscle (NCL-SM): A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies

description: NCL-SM: a high quality bioimaging dataset of 46 human tissue sections from healthy control subjects and from patients with genetically diagnosed muscle pathology. These images include &gt; 50k manually segmented muscle fibres (myofibres). In addition we also curated high quality myofibres and annotated reasons for rejecting low quality myofibres and regions in SM tissue images, making this data completely ready for downstream analysis
DOI: 10.5281/zenodo.10061192
title: qPCR raw datasets on the assessments of cover crop monocultures and mixtures improving the rhizosphere bacterial abundance and functionality through rerooting

description: Quantitative PCR (qPCR) raw data includes the source data that corresponds to the the counts of 16S rRNA gene copies per gram of soil for different variations, as discussed in the research article - "Cover crop monocultures and mixtures improve the rhizosphere bacterial abundance and functionality through rerooting". The copy number of the 16S rRNA gene per gram of soil was quantified by SYBR® Green-based qPCR using a 7500 Fast Real-Time PCR System (Applied Biosystems™, Thermo Fisher Scientific, Waltham, MA, USA). Aliquots of the same DNA extract utilized in amplicon sequencing were used in qPCR. Dilutions of template DNA were used to compensate for the effect of PCR inhibitors in the samples. Each sample was analyzed in triplicate. A PCR amplicon of the Escherichia coli V3 region was used as standard. Each reaction of 20 µL contained 1 µL of template DNA, the forward primer 341F (Muyzer et al., 1993), the reverse primer 518R (Muyzer et al., 1993), and Luna® Universal qPCR Master Mix (NEB). Reaction conditions were an initial denaturation for 1 min at 95 °C, followed by 40 cycles of denaturation at 95 °C for 15 s and extension at 60 °C for 30 s. The melting curve was recorded in the temperature range of 60 °C to 95 °C. The 16S rRNA gene copy numbers per gram of soil were calculated using the standard curve method and then normalized against the standard (Adelowo et al., 2018). The average efficiency value was 100.77 ± 3.15 %. The absolute copy numbers for each bacterial phylum were calculated by multiplying the qPCR values by the relative abundance values in percent obtained from the 16S rRNA gene sequencing analyses.
DOI: 10.5281/zenodo.10061191
title: qPCR raw datasets on the assessments of cover crop monocultures and mixtures improving the rhizosphere bacterial abundance and functionality through rerooting

description: Quantitative PCR (qPCR) raw data includes the source data that corresponds to the the counts of 16S rRNA gene copies per gram of soil for different variations, as discussed in the research article - "Cover crop monocultures and mixtures improve the rhizosphere bacterial abundance and functionality through rerooting". The copy number of the 16S rRNA gene per gram of soil was quantified by SYBR® Green-based qPCR using a 7500 Fast Real-Time PCR System (Applied Biosystems™, Thermo Fisher Scientific, Waltham, MA, USA). Aliquots of the same DNA extract utilized in amplicon sequencing were used in qPCR. Dilutions of template DNA were used to compensate for the effect of PCR inhibitors in the samples. Each sample was analyzed in triplicate. A PCR amplicon of the Escherichia coli V3 region was used as standard. Each reaction of 20 µL contained 1 µL of template DNA, the forward primer 341F (Muyzer et al., 1993), the reverse primer 518R (Muyzer et al., 1993), and Luna® Universal qPCR Master Mix (NEB). Reaction conditions were an initial denaturation for 1 min at 95 °C, followed by 40 cycles of denaturation at 95 °C for 15 s and extension at 60 °C for 30 s. The melting curve was recorded in the temperature range of 60 °C to 95 °C. The 16S rRNA gene copy numbers per gram of soil were calculated using the standard curve method and then normalized against the standard (Adelowo et al., 2018). The average efficiency value was 100.77 ± 3.15 %. The absolute copy numbers for each bacterial phylum were calculated by multiplying the qPCR values by the relative abundance values in percent obtained from the 16S rRNA gene sequencing analyses.
DOI: 10.5281/zenodo.10212950
title: Open Research Datasets – Testing Mantle Convection Simulations with Paleobiology and Other Stratigraphic Observations: Examples from Western North America

description: Data supporting the findings of "Testing Mantle Convection Simulations with Paleobiology and Other Stratigraphic Observations: Examples from Western North America" by Victoria M. Fernandes, Gareth G. Roberts and Fred D. Richards. Further details about these data can be found in the main manuscript and accompanying Supporting Information. This research was funded by NERC Large Grant MC2: Mantle Convection Constrained (NE/T012595/1). The datasets contained in this repository:1) Uplift constraints from youngest outcropping marine to terrestrial stratigraphic transitions, as described in Fernandes et al. (2019) JGR Earth Surface (Figure 1; MarineTerrestrialTransition_Fernandes_etal2019.txt)2) Digitised sediment isopachs from Roberts & Kirschbaum (1995), USGS Professional Paper 1561 (Supplementary Figure S3; Roberts_Kirschbaum_1995_isopachs.zip)3) Air-loaded subsidence grids (Supplementary Figure S4; Subsidence.zip)4) Temperature grids at 25 km depth intervals, from 50–400 km depth, generated from the SLNAAFSA hybrid Vs model of Hoggard et al. (2020), Nature Geoscience (Supplementary Figure S6; Temperature_grids_txt.zip)
DOI: 10.5281/zenodo.10213019
title: Present-day crustal movement and seismic moment balance on major active faults around the easternmost segment of the Kunlun fault, Tibetan Plateau, China
DOI: 10.5281/zenodo.10213018
title: Present-day crustal movement and seismic moment balance on major active faults around the easternmost segment of the Kunlun fault, Tibetan Plateau, China
DOI: 10.25403/upresearchdata.24637998
title: Mobility data in northwestern Nambia 2008/2009

description: The data set contains the raw survey data collected to better understand how people in rural northwestern Namibia move. The data includes the villages people's travel origins, destinations, transport modes, motivations and duration. The survey specifically covers data collected in the Kunene region from 2008/2009. Questions were asked about general travel as well as specific travel to the most populous villages, namely Opuwo, Okanguati and Epupa. The data was originally collected to better understand how these mobility routes correspond with informal road networks in the area.
DOI: 10.25403/upresearchdata.24637998.v1
title: Mobility data in northwestern Nambia 2008/2009

description: The data set contains the raw survey data collected to better understand how people in rural northwestern Namibia move. The data includes the villages people's travel origins, destinations, transport modes, motivations and duration. The survey specifically covers data collected in the Kunene region from 2008/2009. Questions were asked about general travel as well as specific travel to the most populous villages, namely Opuwo, Okanguati and Epupa. The data was originally collected to better understand how these mobility routes correspond with informal road networks in the area.
DOI: 10.5281/zenodo.7500183
title: IR monitoring of battery laser welding

description: This dataset includes data from two experimental campaigns carried out in the context of the ZELD-e project [https://zeld-e.eu/] during 2021 & 2022. Each experimental campaign includes data from a high-speed IR camera which monitors the welding of Al & Cu battery pouch-cell tabs and the corresponding measurements of the joints' electrical contact resistance and mechanical strength (tensile shear tests). This work was partially supported by EIT Manufacturing and co-funded by the EU, through project ZELD-e.
 
For purchasing and downloading the dataset, please contact Prof. Stavropoulos: pstavr@lms.mech.upatras.gr
description: These data may not be used without permission by the author(s)
DOI: 10.5281/zenodo.7500184
title: IR monitoring of battery laser welding

description: This dataset includes data from two experimental campaigns carried out in the context of the ZELD-e project [https://zeld-e.eu/] during 2021 & 2022. Each experimental campaign includes data from a high-speed IR camera which monitors the welding of Al & Cu battery pouch-cell tabs and the corresponding measurements of the joints' electrical contact resistance and mechanical strength (tensile shear tests). This work was partially supported by EIT Manufacturing and co-funded by the EU, through project ZELD-e.
 
For purchasing and downloading the dataset, please contact Prof. Stavropoulos: pstavr@lms.mech.upatras.gr
description: These data may not be used without permission by the author(s)
DOI: 10.5281/zenodo.10213121
title: DIAGNOSTIC METHODS FOR CLOSED ABDOMINAL INJURIES
DOI: 10.5281/zenodo.10213122
title: DIAGNOSTIC METHODS FOR CLOSED ABDOMINAL INJURIES
DOI: 10.6084/m9.figshare.24648366
title: Table S1: Spatio-temporal distribution of magmatism and crustal inheritance within an extensional-rotational environment: an updated geochronology of the Miocene and Quaternary magmatism of the South Apuseni Mountains

description: Table S1. Zircon LA-ICP-MS U-Pb analyses.
DOI: 10.6084/m9.figshare.24648366.v1
title: Table S1: Spatio-temporal distribution of magmatism and crustal inheritance within an extensional-rotational environment: an updated geochronology of the Miocene and Quaternary magmatism of the South Apuseni Mountains

description: Table S1. Zircon LA-ICP-MS U-Pb analyses.
DOI: 10.6084/m9.figshare.24648369
title: Table S3: Spatio-temporal distribution of magmatism and crustal inheritance within an extensional-rotational environment: an updated geochronology of the Miocene and Quaternary magmatism of the South Apuseni Mountains

description: Table S3. Paleomagnetic database and corresponding ages of samples used in this study. N represents number of samples, dec(°) stands for declination, inc(°) represent inclination, k represents the precision parameter and α95(°) stands for the confidence level. Where both K-Ar and U-Pb ages, U-Pb ages were preferred. Samples in red where omitted since they do not fit the criteria of van Hinsbergen <i>et al.</i> (2020), as reported in the text.
DOI: 10.6084/m9.figshare.24648369.v1
title: Table S3: Spatio-temporal distribution of magmatism and crustal inheritance within an extensional-rotational environment: an updated geochronology of the Miocene and Quaternary magmatism of the South Apuseni Mountains

description: Table S3. Paleomagnetic database and corresponding ages of samples used in this study. N represents number of samples, dec(°) stands for declination, inc(°) represent inclination, k represents the precision parameter and α95(°) stands for the confidence level. Where both K-Ar and U-Pb ages, U-Pb ages were preferred. Samples in red where omitted since they do not fit the criteria of van Hinsbergen <i>et al.</i> (2020), as reported in the text.
DOI: 10.6084/m9.figshare.24648375
title: Table S2: Spatio-temporal distribution of magmatism and crustal inheritance within an extensional-rotational environment: an updated geochronology of the Miocene and Quaternary magmatism of the South Apuseni Mountains

description: Table S2. Full database, including both literature and collected age data and geographic coordinates for samples in the South Apuseni Mountains used in this study.
DOI: 10.6084/m9.figshare.24648375.v1
title: Table S2: Spatio-temporal distribution of magmatism and crustal inheritance within an extensional-rotational environment: an updated geochronology of the Miocene and Quaternary magmatism of the South Apuseni Mountains

description: Table S2. Full database, including both literature and collected age data and geographic coordinates for samples in the South Apuseni Mountains used in this study.
DOI: 10.34740/kaggle/dsv/7073130
title: Traffic prediction Dataset
DOI: 10.15156/bio/sh1464720.08fu
title: SH1464720.08FU

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/sh1464721.08fu
title: SH1464721.08FU

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/sh1928227.08fu
title: SH1928227.08FU

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/sh1928228.08fu
title: SH1928228.08FU

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/sh1464722.08fu
title: SH1464722.08FU

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/sh1464723.08fu
title: SH1464723.08FU

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/sh1464724.08fu
title: SH1464724.08FU

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/sh1928229.08fu
title: SH1928229.08FU

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.