cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30597201
title: Unveiling the enterovirus diversity in Barcelona, Spain (2020–2024) through wastewater and clinical surveillance

description: Enterovirus (EV) infections are common and often mild or asymptomatic but can occasionally cause serious illness in children. Routine clinical surveillance typically underestimates the full spectrum of circulating EVs, whereas wastewater-based epidemiology captures a broader viral diversity and may serve as an early warning tool. We conducted a 5-year surveillance (2020–2024) in Barcelona, Spain, combining biweekly wastewater sampling with clinical EV reporting during the SARS-CoV-2 pandemic and subsequent relaxation of restrictions. We quantified EV genome copies in sewage by RT-qPCR and performed partial VP1 sequencing on wastewater concentrates and on clinical specimens. Over the study period, wastewater EV loads broadly paralleled reported case trends, with good correlations over the years except in 2022. A monotonic relationship was observed for certain EV type trends, including CVA6, CVB2, CVB3, E11, and EV-D68, but there was low robustness in their predictive capacity for clinical cases. Overall, deep sequencing revealed 122 distinct EV types in wastewater versus 92 types in clinical samples; 66 types were found in both sources, whereas 56 types appeared only in sewage. Sequences from wastewater and clinical sources showed high genetic similarity. Dominant EV types shifted over time highlighting the virus dynamics. These findings demonstrate that integrating WS with clinical surveillance yields a more comprehensive picture of EV circulation, uncovering hidden viral diversity and enabling early detection of emerging public health threats.
DOI: 10.6084/m9.figshare.30597201.v2
title: Unveiling the enterovirus diversity in Barcelona, Spain (2020–2024) through wastewater and clinical surveillance

description: Enterovirus (EV) infections are common and often mild or asymptomatic but can occasionally cause serious illness in children. Routine clinical surveillance typically underestimates the full spectrum of circulating EVs, whereas wastewater-based epidemiology captures a broader viral diversity and may serve as an early warning tool. We conducted a 5-year surveillance (2020–2024) in Barcelona, Spain, combining biweekly wastewater sampling with clinical EV reporting during the SARS-CoV-2 pandemic and subsequent relaxation of restrictions. We quantified EV genome copies in sewage by RT-qPCR and performed partial VP1 sequencing on wastewater concentrates and on clinical specimens. Over the study period, wastewater EV loads broadly paralleled reported case trends, with good correlations over the years except in 2022. A monotonic relationship was observed for certain EV type trends, including CVA6, CVB2, CVB3, E11, and EV-D68, but there was low robustness in their predictive capacity for clinical cases. Overall, deep sequencing revealed 122 distinct EV types in wastewater versus 92 types in clinical samples; 66 types were found in both sources, whereas 56 types appeared only in sewage. Sequences from wastewater and clinical sources showed high genetic similarity. Dominant EV types shifted over time highlighting the virus dynamics. These findings demonstrate that integrating WS with clinical surveillance yields a more comprehensive picture of EV circulation, uncovering hidden viral diversity and enabling early detection of emerging public health threats.
DOI: 10.6084/m9.figshare.30597201.v1
title: Unveiling the enterovirus diversity in Barcelona, Spain (2020-2024) through wastewater and clinical surveillance

description: Enterovirus (EV) infections are common and often mild or asymptomatic but can occasionally cause serious illness in children. Routine clinical surveillance typically underestimates the full spectrum of circulating EVs, whereas wastewater-based epidemiology captures a broader viral diversity and may serve as an early warning tool. We conducted a 5-year surveillance (2020–2024) in Barcelona, Spain, combining biweekly wastewater sampling with clinical EV reporting during the SARS-CoV-2 pandemic and subsequent relaxation of restrictions. We quantified EV genome copies in sewage by RT-qPCR and performed partial VP1 sequencing on wastewater concentrates and on clinical specimens. Over the study period, wastewater EV loads broadly paralleled reported case trends, with good correlations over the years except in 2022. A monotonic relationship was observed for certain EV types trends, including CVA6, CVB2, CVB3, E11 and EV-D68, but low robustness in their predictive capacity of clinical cases. Overall, deep sequencing revealed 122 distinct EV types in wastewater versus 92 types in clinical samples; 66 types were found in both sources, whereas 56 types appeared only in sewage. Sequences from wastewater and clinical sources showed high genetic similarity. Dominant EV types shifted over time highlighting the virus dynamics. These findings demonstrate that integrating WS with clinical surveillance yields a more comprehensive picture of EV circulation, uncovering hidden viral diversity and enabling early detection of emerging public health threats.
DOI: 10.15468/dl.7rw23a
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pinellia ternata"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009195-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17708410
title: OLAMUR - Case study C - Ulva seaweed dry weigths 2024, Estonia - WP1 Universty of Tartu

description: This dataset contains biomass measurements and elemental composition analysis of sea lettuce (Ulva intestinalis) cultivated on natural fiber lines (19.6 m length) in an integrated multi-trophic aquaculture (IMTA) system adjacent to rainbow trout (Oncorhynchus mykiss) pens in Tagalaht Bay, Saaremaa, Estonia, during the 2024 growing season. Dry weight biomass was measured at 1-meter intervals for the first 7 meters of each line, with the remaining biomass (meters 7-19.6) combined for total weight. Aggregate samples from each line were analyzed for carbon and nitrogen content using an Elementar™ vario MACRO cube elemental analyzer. Full metadata: https://erddap.s4olamur.eu/erddap/info/olamur_wp1_case-c_ulva-seaweed-dry-weights-2024-ut/index.htmlThis dataset is part of the OLAMUR project outcomes. OLAMUR is funded by the European Union. Grant no. 101094065. Views and opinions expressed are however those of the author only and do not necessarily reflect those of the European Union or the CINEA. Neither the European Union nor CINEA can be held responsible for them.
DOI: 10.5281/zenodo.17708411
title: OLAMUR - Case study C - Ulva seaweed dry weigths 2024, Estonia - WP1 Universty of Tartu

description: This dataset contains biomass measurements and elemental composition analysis of sea lettuce (Ulva intestinalis) cultivated on natural fiber lines (19.6 m length) in an integrated multi-trophic aquaculture (IMTA) system adjacent to rainbow trout (Oncorhynchus mykiss) pens in Tagalaht Bay, Saaremaa, Estonia, during the 2024 growing season. Dry weight biomass was measured at 1-meter intervals for the first 7 meters of each line, with the remaining biomass (meters 7-19.6) combined for total weight. Aggregate samples from each line were analyzed for carbon and nitrogen content using an Elementar™ vario MACRO cube elemental analyzer. Full metadata: https://erddap.s4olamur.eu/erddap/info/olamur_wp1_case-c_ulva-seaweed-dry-weights-2024-ut/index.htmlThis dataset is part of the OLAMUR project outcomes. OLAMUR is funded by the European Union. Grant no. 101094065. Views and opinions expressed are however those of the author only and do not necessarily reflect those of the European Union or the CINEA. Neither the European Union nor CINEA can be held responsible for them.
DOI: 10.15468/dl.xgjxum
title: Occurrence Download

description: A dataset containing 2322 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lonicera japonica"
 ]
}

 The dataset includes 2322 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009198-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zufy34
title: Occurrence Download

description: A dataset containing 25636 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanum elaeagnifolium",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 25636 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009197-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bv9c9
title: Occurrence Download

description: A dataset containing 622804 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Branta leucopsis, Bubo scandiacus, Bubo virginianus, Bubulcus ibis, Bucephala albeola)",
 "Country is Canada",
 "OccurrenceStatus is Present",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON ((-84.76571 41.22334, -58.93394 41.22334, -58.93394 49.85477, -84.76571 49.85477, -84.76571 41.22334))",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 622804 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009171-251120083545085/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/13875285
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.14917685
title: Spatial Transcriptomics and Single Nucleus RNA Sequencing Reveal rAAV2- and rAAV9-Specific Transduction Signatures in the Mouse Liver

description: You can find here the datasets used in the publication: Amberg, B. et al.  Spatial Transcriptomics and Single Nucleus RNA Sequencing Reveal rAAV2- and rAAV9-Specific Transduction Signatures in the Mouse LiverThis contains the raw Spatial Transcriptomics data, the TIF images used as spaceranger input, and intermediary andata objects that contrain the zones.The scripts are available in Github: https://github.com/alberto-valdeolivas/ST_SN_AAV_MiceLiver

The results of the deconvolution can be found here.

The BAM files of the spatial transcriptomics data can be found here- Male control animals- Female control animals- Male rAAV2-treated animals- Female rAAV2-treated animals- Male rAAV9-treated animals- Female rAAV9-treated animals

The Fastq files of the spatial transcriptomics data can be found here - Male control animals part 1 and  part 2- Female control animals part 1 and part 2- Male rAAV2-treated control animals part 1 and part 2- Female rAAV2-treated control animals part 1 and part 2- Male rAAV9-treated control animals- Female rAAV9-treated control animals part 1 and part 2

The single nucleus RNA sequencing (snRNA-seq)  can be found here- snRNA-seq cell ranger and cellbender output Fastq files of the snRNA-seq can be found here- Male control animals animal 1, animal 2, animal 3- Female control animals animal 1, animal 2, animal 3- Male rAAV2-treated animals animal 1, animal 2, animal 3, animal 4- Female rAAV2-treated animals animal 1, animal 2, animal 3, animal 4- Male rAAV9-treated animals animal 1, animal 2, animal 3, animal 4- Female rAAV9-treated animals animal 1, animal 2 rep1, animal 2 rep2, animal 3,  animal 4
DOI: 10.5281/zenodo.14917686
title: Spatial Transcriptomics and Single Nucleus RNA Sequencing Reveal rAAV2- and rAAV9-Specific Transduction Signatures in the Mouse Liver

description: You can find here the datasets used in the publication: Amberg, B. et al.  Spatial Transcriptomics and Single Nucleus RNA Sequencing Reveal rAAV2- and rAAV9-Specific Transduction Signatures in the Mouse LiverThis contains the raw Spatial Transcriptomics data, the TIF images used as spaceranger input, and intermediary andata objects that contrain the zones.The scripts are available in Github: https://github.com/alberto-valdeolivas/ST_SN_AAV_MiceLiver

The results of the deconvolution can be found here.

The BAM files of the spatial transcriptomics data can be found here- Male control animals- Female control animals- Male rAAV2-treated animals- Female rAAV2-treated animals- Male rAAV9-treated animals- Female rAAV9-treated animals

The Fastq files of the spatial transcriptomics data can be found here - Male control animals part 1 and  part 2- Female control animals part 1 and part 2- Male rAAV2-treated control animals part 1 and part 2- Female rAAV2-treated control animals part 1 and part 2- Male rAAV9-treated control animals- Female rAAV9-treated control animals part 1 and part 2

The single nucleus RNA sequencing (snRNA-seq)  can be found here- snRNA-seq cell ranger and cellbender output Fastq files of the snRNA-seq can be found here- Male control animals animal 1, animal 2, animal 3- Female control animals animal 1, animal 2, animal 3- Male rAAV2-treated animals animal 1, animal 2, animal 3, animal 4- Female rAAV2-treated animals animal 1, animal 2, animal 3, animal 4- Male rAAV9-treated animals animal 1, animal 2, animal 3, animal 4- Female rAAV9-treated animals animal 1, animal 2 rep1, animal 2 rep2, animal 3,  animal 4
DOI: 10.15468/dl.q622rr
title: Occurrence Download

description: A dataset containing 1525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arctium lappa"
 ]
}

 The dataset includes 1525 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009199-251120083545085/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.30719291
title: Targeted strategy by curcumin and tideglusib biomimetic nano-systems alleviates oxidative stress and inflammation under ischemic stroke

description: Ischemic stroke represents one of the leading causes of disability and death worldwide. Neuroprotection aimed at mitigating oxidative stress and inflammation is crucial for improving the prognosis of patients. However, the inadequate accumulation of drugs at the ischemic site significantly restricts their clinical efficacy. We found that platelet membrane (PLTM)-biomimetic nanosystems loaded with curcumin (Cur@PLTM) and tideglusib (Tid@PLTM) actively targeted the ischemic brain and facilitated transcytosis into the ischemic parenchyma via caveolin-dependent transcytosis, mimicking the recruitment of platelets in damaged cerebral vessels. This represented the first application of tideglusib nanoformulations in treating ischemic stroke, further demonstrating that the therapeutic effects were associated with M2 microglia regulation. Additionally, Cur@PLTM and Tid@PLTM synergistically scavenged reactive oxygen species (ROS) and promoted the secretion of neuroprotective cytokines via redox and cellular regulatory mechanisms to mitigate ischemia/reperfusion (I/R) injury. Overall, this platelet membrane-biomimetic nanosystem offers a prospective strategy for targeted brain delivery and combined treatment through antioxidative and anti-inflammatory approaches against ischemic stroke. Tid nanoformulations treat ischemic stroke and regulate M2-type microglia. Both Cur and Tid in PLTM-NPs synergistically regulate oxidative stress and inflammation. Tids have strong potential to scavenge ROS in microglia and brain endothelial cells. Caveolin-dependent transcytosis of PLTM-NPs facilitates their ability to cross the BBB.
DOI: 10.6084/m9.figshare.30719291.v1
title: Targeted strategy by curcumin and tideglusib biomimetic nano-systems alleviates oxidative stress and inflammation under ischemic stroke

description: Ischemic stroke represents one of the leading causes of disability and death worldwide. Neuroprotection aimed at mitigating oxidative stress and inflammation is crucial for improving the prognosis of patients. However, the inadequate accumulation of drugs at the ischemic site significantly restricts their clinical efficacy. We found that platelet membrane (PLTM)-biomimetic nanosystems loaded with curcumin (Cur@PLTM) and tideglusib (Tid@PLTM) actively targeted the ischemic brain and facilitated transcytosis into the ischemic parenchyma via caveolin-dependent transcytosis, mimicking the recruitment of platelets in damaged cerebral vessels. This represented the first application of tideglusib nanoformulations in treating ischemic stroke, further demonstrating that the therapeutic effects were associated with M2 microglia regulation. Additionally, Cur@PLTM and Tid@PLTM synergistically scavenged reactive oxygen species (ROS) and promoted the secretion of neuroprotective cytokines via redox and cellular regulatory mechanisms to mitigate ischemia/reperfusion (I/R) injury. Overall, this platelet membrane-biomimetic nanosystem offers a prospective strategy for targeted brain delivery and combined treatment through antioxidative and anti-inflammatory approaches against ischemic stroke. Tid nanoformulations treat ischemic stroke and regulate M2-type microglia. Both Cur and Tid in PLTM-NPs synergistically regulate oxidative stress and inflammation. Tids have strong potential to scavenge ROS in microglia and brain endothelial cells. Caveolin-dependent transcytosis of PLTM-NPs facilitates their ability to cross the BBB.
DOI: 10.5281/zenodo.17708490
title: OLAMUR - Case Study A - Marker bouys - WP1

description: OLAMUR - Case Study A - Marker bouys - WP1 Full metadata: https://erddap.s4olamur.eu/erddap/info/olamur_wp1_casea_marker-buoys-points/index.htmlThis dataset is part of the OLAMUR project outcomes. OLAMUR is funded by the European Union. Grant no. 101094065. Views and opinions expressed are however those of the author only and do not necessarily reflect those of the European Union or the CINEA. Neither the European Union nor CINEA can be held responsible for them.
DOI: 10.5281/zenodo.17708491
title: OLAMUR - Case Study A - Marker bouys - WP1

description: OLAMUR - Case Study A - Marker bouys - WP1 Full metadata: https://erddap.s4olamur.eu/erddap/info/olamur_wp1_casea_marker-buoys-points/index.htmlThis dataset is part of the OLAMUR project outcomes. OLAMUR is funded by the European Union. Grant no. 101094065. Views and opinions expressed are however those of the author only and do not necessarily reflect those of the European Union or the CINEA. Neither the European Union nor CINEA can be held responsible for them.
DOI: 10.5281/zenodo.17708608
title: OLAMUR - Case study A - Aquaculture productivity simulation P0 - WP3 Hereon

description: The dataset describes the evolution of aquaculture variables from virtual test runs of a blue mussel aquaculture installation in the vicinity of an existing offshore wind farm (MeerWind, OLAMUR Case study A). The aquaculture productivity data was produced running a physical-biogeochemical simulation based on the SCHISM-FABM-ECOSMO framework applied to the Southern North Sea domain, coupled with a DEB model. The underlying simulation is a hindcast from January 2020 to December 2020, driven by reanalysis data from the Copernicus Marine Service, product IDs NWSHELF_ANALYSISFORECAST_PHY_004_013 and NWSHELF_MULTIYEAR_BGC_004_011, and the German Weather Service atmospheric reanalysis simulation based on the COSMO-EU model. The aquaculture farm was initialised by 1 July 2020. The SCHISM-FABM-ECOSMO-DEB simulation data were stored on an unstructured grid and then interpolated to a structured grid with a resolution of 100 x 100 m in a post-processing step. The temporal resolution is daily. The format is Netcdf. The simulation runs P0 and P1 represent both a realistic and a hypothetical parametrisation approach, representing a theoretical range of aquaculture productivity given the geographical, temporal and technical-spatial conditions windfarm site. Full metadata: https://erddap.s4olamur.eu/erddap/info/olamur_wp3_casea_mussel-P0model-he/index.htmlThis dataset is part of the OLAMUR project outcomes. OLAMUR is funded by the European Union. Grant no. 101094065. Views and opinions expressed are however those of the author only and do not necessarily reflect those of the European Union or the CINEA. Neither the European Union nor CINEA can be held responsible for them.
DOI: 10.5281/zenodo.17708607
title: OLAMUR - Case study A - Aquaculture productivity simulation P0 - WP3 Hereon

description: The dataset describes the evolution of aquaculture variables from virtual test runs of a blue mussel aquaculture installation in the vicinity of an existing offshore wind farm (MeerWind, OLAMUR Case study A). The aquaculture productivity data was produced running a physical-biogeochemical simulation based on the SCHISM-FABM-ECOSMO framework applied to the Southern North Sea domain, coupled with a DEB model. The underlying simulation is a hindcast from January 2020 to December 2020, driven by reanalysis data from the Copernicus Marine Service, product IDs NWSHELF_ANALYSISFORECAST_PHY_004_013 and NWSHELF_MULTIYEAR_BGC_004_011, and the German Weather Service atmospheric reanalysis simulation based on the COSMO-EU model. The aquaculture farm was initialised by 1 July 2020. The SCHISM-FABM-ECOSMO-DEB simulation data were stored on an unstructured grid and then interpolated to a structured grid with a resolution of 100 x 100 m in a post-processing step. The temporal resolution is daily. The format is Netcdf. The simulation runs P0 and P1 represent both a realistic and a hypothetical parametrisation approach, representing a theoretical range of aquaculture productivity given the geographical, temporal and technical-spatial conditions windfarm site. Full metadata: https://erddap.s4olamur.eu/erddap/info/olamur_wp3_casea_mussel-P0model-he/index.htmlThis dataset is part of the OLAMUR project outcomes. OLAMUR is funded by the European Union. Grant no. 101094065. Views and opinions expressed are however those of the author only and do not necessarily reflect those of the European Union or the CINEA. Neither the European Union nor CINEA can be held responsible for them.
DOI: 10.5281/zenodo.17708493
title: OLAMUR - Case Study A -  Turbine Offshore Wind Farm Meerwind Süd/Ost (Germany) -  WP1

description: OLAMUR - Case Study A - Turbine Offshore Wind Farm Meerwind Süd/Ost (Germany) - WP1 Full metadata: https://erddap.s4olamur.eu/erddap/info/olamur_wp1_casea_turbine/index.htmlThis dataset is part of the OLAMUR project outcomes. OLAMUR is funded by the European Union. Grant no. 101094065. Views and opinions expressed are however those of the author only and do not necessarily reflect those of the European Union or the CINEA. Neither the European Union nor CINEA can be held responsible for them.