cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17491553
title: MARCHE 2022 – Bridge Post-flood inspection

description: In September 2022, the Marche region in central Italy was struck by an extreme flood event, characterised by intense rainfall, rapid river level rise, and widespread inundation across several municipalities. Following the event, researchers from multiple institutions launched a collaborative field campaign to assess the impacts across various sectors, including infrastructure, cultural heritage, industrial areas, and residential zones (https://sites.google.com/view/misa2022/home-page?pli=1). As of this campaign, a dedicated team focused on bridges, aiming to collect structured field data and document damage mechanisms.

This dataset* presents the outcomes of the bridge evaluation survey, during which 76 bridges were inspected. It includes the following files:



MARCHE 2022 inspection form.pdf – a template of the field inspection form

MARCHE 2022 dataset (folder)



MARCHE 2022 dataset.xlsx – an Excel table with structured data collected during the post-flood  survey and subsequent post-processing

MARCHE 2022 images – a folder containing one representative image for each surveyed structure 

PNG files – charts that summarise the results for each section of the database




The data are organised into six categories: Crossing Features, Structural Features, River Features, River Protection Measures, Hydraulic Processes, and Damage. Additional information regarding the specific dataset entries and the field campaign is available in [1].

 -------------------------------------

*This dataset can be freely used for any legal purpose, as long as you cite the data source.

[1] Perugini, E., Darvini, G., D’Angelo, M., Tubaldi, E., Scozzese, F., Zanini, Voltolina, D., Valerio, A., Polidoro, B., Sterlacchini, S., M. A., Dall’Asta, A., Brocchini, M., & Ballio, F. (under submission). Standardising Post-Flood Surveys of Bridges: the Case of the 2022 Marche Flood. Scientific Data.
DOI: 10.5281/zenodo.17491554
title: MARCHE 2022 – Bridge Post-flood inspection

description: In September 2022, the Marche region in central Italy was struck by an extreme flood event, characterised by intense rainfall, rapid river level rise, and widespread inundation across several municipalities. Following the event, researchers from multiple institutions launched a collaborative field campaign to assess the impacts across various sectors, including infrastructure, cultural heritage, industrial areas, and residential zones (https://sites.google.com/view/misa2022/home-page?pli=1). As of this campaign, a dedicated team focused on bridges, aiming to collect structured field data and document damage mechanisms.

This dataset* presents the outcomes of the bridge evaluation survey, during which 76 bridges were inspected. It includes the following files:



MARCHE 2022 inspection form.pdf – a template of the field inspection form

MARCHE 2022 dataset (folder)



MARCHE 2022 dataset.xlsx – an Excel table with structured data collected during the post-flood  survey and subsequent post-processing

MARCHE 2022 images – a folder containing one representative image for each surveyed structure 

PNG files – charts that summarise the results for each section of the database




The data are organised into six categories: Crossing Features, Structural Features, River Features, River Protection Measures, Hydraulic Processes, and Damage. Additional information regarding the specific dataset entries and the field campaign is available in [1].

 -------------------------------------

*This dataset can be freely used for any legal purpose, as long as you cite the data source.

[1] Perugini, E., Darvini, G., D’Angelo, M., Tubaldi, E., Scozzese, F., Zanini, Voltolina, D., Valerio, A., Polidoro, B., Sterlacchini, S., M. A., Dall’Asta, A., Brocchini, M., & Ballio, F. (under submission). Standardising Post-Flood Surveys of Bridges: the Case of the 2022 Marche Flood. Scientific Data.
DOI: 10.15468/dl.cx5dhn
title: Occurrence Download

description: A dataset containing 2577 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Pterostichus crenicollis LeConte, 1873",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 2577 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004972-250515123054153/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.29094938
title: Data set and trial protocol

description: Data set and trial protocol.Goniometry of lumbar spine (anterior flexion, posterior flexion, right-side flexion, left-side flexion, right rotation, left rotation), Algometr (pressure pain treshold), VAS (VAS1, VAS2, VAS3).
DOI: 10.15468/dl.s9m3ev
title: Occurrence Download

description: A dataset containing 777 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Pterostichus algidus LeConte, 1853",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 777 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004973-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2ryev
title: Occurrence Download

description: A dataset containing 66148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Netta rufina (Pallas, 1773)",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 66148 records from 294 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004966-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jdnhya
title: Occurrence Download

description: A dataset containing 1521 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Omus californicus Eschscholtz, 1829",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 1521 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004976-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvfcd8
title: Occurrence Download

description: A dataset containing 92217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Leonurus L."
 ]
}

 The dataset includes 92217 records from 790 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004964-250515123054153/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.28891511
title: Exocarpium Citri Grandis Attenuates Lipopolysaccharide-Induced Acute Liver Injury Through Dual Suppression of Data for Inflammatory Response and Apoptotic Pathways

description: This study investigates Exocarpium Citri Grandis (ECG)'s therapeutic effects on LPS-induced acute liver injury (ALI) through network pharmacology and murine models. ECG treatment significantly reduced serum AST/ALT levels and alleviated hepatic damage in mice, as confirmed by histopathological analysis. The herbal extract demonstrated dual anti-inflammatory and anti-cell death mechanisms by downregulating pro-inflammatory cytokines (IL-6, IL-1β, TNFα) through qPCR analysis, while simultaneously modulating apoptosis and ferroptosis markers. Network pharmacology revealed ECG's multi-target action on critical pathways involving inflammation regulation and cell survival. Molecular docking simulations validated interactions between ECG's bioactive components and key apoptotic/inflammatory regulators. These findings position ECG as a promising natural therapeutic for ALI treatment, combining traditional medicinal use with evidence-based mechanisms of action. The integrated approach confirms ECG's potential to mitigate liver injury through coordinated modulation of inflammatory responses and programmed cell death pathways, warranting further clinical exploration of this traditional Chinese medicine for managing severe hepatic conditions.
DOI: 10.6084/m9.figshare.28891511.v3
title: Exocarpium Citri Grandis Attenuates Lipopolysaccharide-Induced Acute Liver Injury Through Dual Suppression of Data for Inflammatory Response and Apoptotic Pathways

description: This study investigates Exocarpium Citri Grandis (ECG)'s therapeutic effects on LPS-induced acute liver injury (ALI) through network pharmacology and murine models. ECG treatment significantly reduced serum AST/ALT levels and alleviated hepatic damage in mice, as confirmed by histopathological analysis. The herbal extract demonstrated dual anti-inflammatory and anti-cell death mechanisms by downregulating pro-inflammatory cytokines (IL-6, IL-1β, TNFα) through qPCR analysis, while simultaneously modulating apoptosis and ferroptosis markers. Network pharmacology revealed ECG's multi-target action on critical pathways involving inflammation regulation and cell survival. Molecular docking simulations validated interactions between ECG's bioactive components and key apoptotic/inflammatory regulators. These findings position ECG as a promising natural therapeutic for ALI treatment, combining traditional medicinal use with evidence-based mechanisms of action. The integrated approach confirms ECG's potential to mitigate liver injury through coordinated modulation of inflammatory responses and programmed cell death pathways, warranting further clinical exploration of this traditional Chinese medicine for managing severe hepatic conditions.
DOI: 10.15468/dl.qbezns
title: Occurrence Download

description: A dataset containing 1851 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Agonoleptus conjunctus (Say, 1823)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 1851 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004979-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ega88y
title: Occurrence Download

description: A dataset containing 587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Leopoldinia Mart."
 ]
}

 The dataset includes 587 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004981-250515123054153/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.29094977
title: teachers study

description: teachers study
DOI: 10.15468/dl.wrtx6q
title: Occurrence Download

description: A dataset containing 296 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Platynus ovipennis (Mannerheim, 1843)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 296 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004983-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3snznq
title: Occurrence Download

description: A dataset containing 8712 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Lepechinia Willd."
 ]
}

 The dataset includes 8712 records from 227 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004985-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5jtbwy
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rostraria cristata",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036320-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nc4net
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anguilla anguilla",
 "Country is Indonesia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036321-250811113504898/datasets/export for details.
DOI: 10.15468/dl.5mrmnh
title: Occurrence Download

description: A dataset containing 295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "Continent is North America",
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Amaranthus"
 ]
}

 The dataset includes 295 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036322-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.myb7eg
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ruellia macrantha"
 ]
}

 The dataset includes 244 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036323-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ygdrrz
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anguilla anguilla",
 "Country is Israel",
 "HasCoordinate is true"
 ]
}

 The dataset includes 50 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036327-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hmzevb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anguilla anguilla",
 "Country is Iran (Islamic Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036326-250811113504898/datasets/export for details.
DOI: 10.15468/dl.4zqe3r
title: Occurrence Download

description: A dataset containing 9710 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lythrum junceum"
 ]
}

 The dataset includes 9710 records from 235 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036324-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/41rs5-j2d52
title: Xanthomonas vs Caulobacter

description: Xac WT pBRaφ pBRR MCS5 GFP (code 9) vs Caulobacter competition
description: <strong>Tilt Series Date:</strong> 2017-03-29</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Xanthomonas citri</p>
<strong>Strain:</strong> pv citri 306</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-50.0°, 50.0°), step: 1.5°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -8.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> reupload_downloaded</p>
<strong>Processing Software Used:</strong> TOMO3D</p>
<strong>Collaborators and Roles:</strong> Chuck Farah lab made the strains, data collected by Debnath Ghosal.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> 4 µL mixture of Xac and Caulobacter cells were pipetted on top of Au-Finder grids. These grids were glow discharged in advance and kept on top of Agar pads. Carbon side up. These were then kept at the BSL-II hood and left for about 10 min before freezing.</p>
<strong>Sample Preparation:</strong> Freezing conditions: Blot force 6, wait time=0, drain time =1 sec, blot time= 10 sec</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-03-29-8/rawdata/</p>Xac_Cc_201703292nda0006.mrc,  Tilt Series (Pixel Size 0.39 nm), 1.3 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-03-29-8/rawdata/Xac_Cc_201703292nda0006.mrc"
        > <i class="download icon"></i> Download </a></p>

        Xac_Cc_201703292nda0006_SIRT_1k.rec,  Reconstruction (Pixel Size 0.0 nm), 1.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-03-29-8/3dimage_109175/Xac_Cc_201703292nda0006_SIRT_1k.rec"
        > <i class="download icon"></i> Download </a></p>

        Xac_Cc_201703292nda0006.ali,  285.1 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-03-29-8/file_25951/Xac_Cc_201703292nda0006.ali"
        > <i class="download icon"></i> Download </a></p>

        Xac_Cc_201703292nda0006.tlt,  320.0 B  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-03-29-8/file_25952/Xac_Cc_201703292nda0006.tlt"
        > <i class="download icon"></i> Download </a></p>

        Xac_Cc_201703292nda0006_fid.tlt,  320.0 B  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-03-29-8/file_25953/Xac_Cc_201703292nda0006_fid.tlt"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.5281/zenodo.16934253
title: Material Suplementar - Um estudo sobre o uso da Inteligência Artificial no Desenvolvimento Ágil de Software
DOI: 10.22002/cbswy-nem36
title: Xanthomonas vs Caulobacter

description: Xac WT pBRaφ pBRR MCS5 GFP (code 9) vs Caulobacter competition
description: <strong>Tilt Series Date:</strong> 2017-03-30</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Xanthomonas citri</p>
<strong>Strain:</strong> pv citri 306</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-50.0°, 50.0°), step: 1.5°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -8.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> reupload_downloaded</p>
<strong>Processing Software Used:</strong> TOMO3D</p>
<strong>Collaborators and Roles:</strong> Chuck Farah lab made the strains, data collected by Debnath Ghosal.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> 4 µL mixture of Xac and Caulobacter cells were pipetted on top of Au-Finder grids. These grids were glow discharged in advance and kept on top of Agar pads. Carbon side up. These were then kept at the BSL-II hood and left for about 10 min before freezing.</p>
<strong>Sample Preparation:</strong> Freezing conditions: Blot force 6, wait time=0, drain time =1 sec, blot time= 10 sec</p>
description: Files available via S3 at ps://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-03-30-14/rawdata/</p>Xac_Cc_2017032910tha0006.mrc,  Tilt Series (Pixel Size 0.39 nm), 2.0 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-03-30-14/rawdata/Xac_Cc_2017032910tha0006.mrc"
        > <i class="download icon"></i> Download </a></p>

        Xac_Cc_2017032910tha0006_SIRT_1k.rec,  Reconstruction (Pixel Size 0.0 nm), 1.1 GB  
        
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        > <i class="download icon"></i> Download </a></p>

        Xac_Cc_2017032910tha0006.ali,  449.0 MB  
        
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        > <i class="download icon"></i> Download </a></p>

        Xac_Cc_2017032910tha0006.tlt,  504.0 B  
        
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        > <i class="download icon"></i> Download </a></p>

        Xac_Cc_2017032910tha0006_fid.tlt,  504.0 B  
        
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