cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.qu2rdf
title: Occurrence Download

description: A dataset containing 10905 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Vaccaria hispanica (Mill.) Rauschert)"
 ]
}

 The dataset includes 10905 records from 345 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034403-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25524145.v2
title: Dataset for 'Atypical lateralization of visuospatial attention can be associated with better or worse performance on line bisection'

description: Dataset supporting the findings described in the research article titled: 'Atypical lateralization of visuospatial attention can be associated with better or worse performance on line bisection'
DOI: 10.15468/dl.q4eqzk
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054167-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fat4zg
title: Occurrence Download

description: A dataset containing 1258 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aegiphila panamensis Moldenke"
 ]
}

 The dataset includes 1258 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034373-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ys7a6s
title: Occurrence Download

description: A dataset containing 164171 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Silene latifolia subsp. alba (Mill.) Greuter & Burdet)"
 ]
}

 The dataset includes 164171 records from 1356 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034323-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30338704
title: Alex Ekwueme University, Ndufu-Alike, Ebonyi 2025/26 JUPEB FORM/ SANDWICH FORM IS OUT NOW 07076040542, TO APPLY CALL PROF. PATRICK @ 07076040542 FOR REGISTRATION GUIDELINES ON HOW TO APPLY {+2347076040542} AND FOR FURTHER ASSISTANCE. NOTE: REGISTRATION LAST FOR TWO WEEKS!!!

description: Alex Ekwueme University, Ndufu-Alike, Ebonyi 2025/26 JUPEB FORM/ SANDWICH FORM IS OUT NOW 07076040542, TO APPLY CALL PROF. PATRICK @ 07076040542 FOR REGISTRATION GUIDELINES ON HOW TO APPLY {+2347076040542} AND FOR FURTHER ASSISTANCE. NOTE: REGISTRATION LAST FOR TWO WEEKS!!!
DOI: 10.6084/m9.figshare.30338704.v1
title: Alex Ekwueme University, Ndufu-Alike, Ebonyi 2025/26 JUPEB FORM/ SANDWICH FORM IS OUT NOW 07076040542, TO APPLY CALL PROF. PATRICK @ 07076040542 FOR REGISTRATION GUIDELINES ON HOW TO APPLY {+2347076040542} AND FOR FURTHER ASSISTANCE. NOTE: REGISTRATION LAST FOR TWO WEEKS!!!

description: Alex Ekwueme University, Ndufu-Alike, Ebonyi 2025/26 JUPEB FORM/ SANDWICH FORM IS OUT NOW 07076040542, TO APPLY CALL PROF. PATRICK @ 07076040542 FOR REGISTRATION GUIDELINES ON HOW TO APPLY {+2347076040542} AND FOR FURTHER ASSISTANCE. NOTE: REGISTRATION LAST FOR TWO WEEKS!!!
DOI: 10.5281/zenodo.17559031
title: Wind data for analysis

description: 该数据集包括来自站点 T 的气象监测数据。包含的变量包括时间戳、风速、风向和温度。
DOI: 10.5281/zenodo.17558838
title: Underwater images collected by a Kite surf in Le-Morne-Little-Reef-Chameau, Mauritius - 2019-06-15

description: This dataset was collected by a Kite surf in Le-Morne-Little-Reef-Chameau, Mauritius - 2019-06-15. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            
                
                                       
                
                
 GPS information: 

                No GPS.
            
                    
                

                
            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
DOI: 10.5281/zenodo.17558954
title: Underwater images collected by a Kite surf in Le-Morne-Little-Reef-Chameau, Mauritius - 2019-06-15

description: This dataset was collected by a Kite surf in Le-Morne-Little-Reef-Chameau, Mauritius - 2019-06-15. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            
                
                                       
                
                
 GPS information: 

                No GPS.
            
                    
                

                
            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
DOI: 10.6084/m9.figshare.29148377
title: Rotavirus-NSP5 Interacts with and Hijacks Host ATP citrate lyase to Viroplasms, Enhancing Lipid Biosynthesis for Facilitating Rotavirus Infection

description: Mass-spectrometry was performed to understand the association of host proteins with rotavirus non-structural protein 5 (RV-NSP5) in rotavirus infected cells.
DOI: 10.6084/m9.figshare.29148377.v2
title: Rotavirus-NSP5 Interacts with and Hijacks Host ATP citrate lyase to Viroplasms, Enhancing Lipid Biosynthesis for Facilitating Rotavirus Infection

description: Mass-spectrometry was performed to understand the association of host proteins with rotavirus non-structural protein 5 (RV-NSP5) in rotavirus infected cells.
DOI: 10.6084/m9.figshare.29148377.v1
title: Proteomics data for rotavirus NSP5-host protein interactome during infection scenario

description: Mass-spectrometry was performed to understand the association of host proteins with rotavirus non-structural protein 5 (RV-NSP5) in rotavirus infected cells.
DOI: 10.13140/rg.2.2.31387.32801
title: TV Talk show 2- PRAAT Analysis
DOI: 10.57967/hf/6928
title: OpenTextVault_FromTheNetwork
DOI: 10.15468/dl.j42n5v
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Undaria pinnatifida"
 ]
}

 The dataset includes 51 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023049-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ln1p4i
title: Model + dual-side loyal users

description: Model + dual-side loyal users, through Mathematica. Adding for our group research Platform Multi-homing Pricing Strategy - Analysis based on the Existence of Loyal Users+Group 3+Yan Xintong, Zuo Yuewen, Wang Xinyi, Xu Yige, Chen Jiajun.
DOI: 10.15468/dl.5v3z5k
title: Occurrence Download

description: A dataset containing 209904 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Plantae",
 "BasisOfRecord is one of (Fossil, Material sample, Occurrence evidence)"
 ]
}

 The dataset includes 209904 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023046-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17558886
title: Prima atestare documentară a toponimului "Vadul lui Vodă" (1661–1665) și rolul vadului domnesc pe Nistru

description: Vadul lui Vodă, situat pe malul drept al Nistrului, în estul Republicii Moldova, în apropiere de Chișinău, este astăzi cunoscut drept oraș-stațiune. Totuși, istoria sa este mult mai veche decât indică tradiția locală și literatura istorică recentă. Înainte de a deveni așezare rurală, acest loc a funcționat ca punct de trecere peste Nistru (vad), strajă militară și punct vamal aflat sub autoritatea domniei Moldovei medievale. Cercetarea de față demonstrează că toponimul „Vadul lui Vodă” este atestat documentar pentru prima dată în perioada domniei lui Dabija Vodă (1661–1665), într-un zapis militar publicat de Nicolae Iorga, ceea ce plasează începuturile așezării cu peste o jumătate de secol mai devreme decât s-a crezut până acum.
DOI: 10.5281/zenodo.17558887
title: Prima atestare documentară a toponimului "Vadul lui Vodă" (1661–1665) și rolul vadului domnesc pe Nistru

description: Vadul lui Vodă, situat pe malul drept al Nistrului, în estul Republicii Moldova, în apropiere de Chișinău, este astăzi cunoscut drept oraș-stațiune. Totuși, istoria sa este mult mai veche decât indică tradiția locală și literatura istorică recentă. Înainte de a deveni așezare rurală, acest loc a funcționat ca punct de trecere peste Nistru (vad), strajă militară și punct vamal aflat sub autoritatea domniei Moldovei medievale. Cercetarea de față demonstrează că toponimul „Vadul lui Vodă” este atestat documentar pentru prima dată în perioada domniei lui Dabija Vodă (1661–1665), într-un zapis militar publicat de Nicolae Iorga, ceea ce plasează începuturile așezării cu peste o jumătate de secol mai devreme decât s-a crezut până acum.
DOI: 10.15468/dl.5su85w
title: Occurrence Download

description: A dataset containing 86510 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pelophylax ridibundus"
 ]
}

 The dataset includes 86510 records from 1602 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023043-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pw3jg4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Struthioniformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-80 -60,-70 -60,-70 -50,-80 -50,-80 -60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024535-251009101135966/datasets/export for details.
DOI: 10.25921/tc9d-3c34
title: NOAA/WDS Paleoclimatology - Baisan fire data from Continental Divide Peak - IMPD USCDP001

description: Records of past fire occurrence from tree rings, charcoal found in lake sediments, and other proxies. Parameter keywords describe what was measured in this data set.  Additional summary information can be found in the abstracts of papers listed in the data set citations.  Additional information on the International Multiproxy Database (IMPD) data set procedures are also available.
DOI: 10.25921/trgg-va31
title: NOAA/WDS Paleoclimatology - Sea of Japan geochemical properties during the past 36,000 years

description: Intervals of organic C- and carbonate-rich laminated sediments occur in the Sea of Japan with roughly the same frequency as temperature changes observed in Greenland ice cores, providing clear evidence of rapid oceanographic change during the past 36 kyr. Planktonic foraminiferal δ18O data suggest that only the laminated sediments deposited during the Last Glacial Maximum (LGM), and perhaps one other interval formed during a period of increased water column stratification. Sedimentary Re and Mo data are consistent with bottom waters that were sulfidic during the LGM and suboxic during other laminated intervals. Results of a numerical model of Corg and Re burial are consistent with a mechanism whereby an increased Corg flux to the seafloor drove oxygen concentrations toward depletion during times of deposition of the suboxic laminated intervals. Such a process could have resulted from increased upwelling driven either by increased deep water formation due to colder and/or more saline surface waters or by stronger northeasterly monsoonal winds.
DOI: 10.25921/txvz-z467
title: NOAA/WDS Paleoclimatology - Everett fire data from Twenty Mile Aspect Polygon 11 - IMPD USTWM011

description: Records of past fire occurrence from tree rings, charcoal found in lake sediments, and other proxies. Parameter keywords describe what was measured in this data set.  Additional summary information can be found in the abstracts of papers listed in the data set citations.  Additional information on the International Multiproxy Database (IMPD) data set procedures are also available.
DOI: 10.25921/ttwx-jw26
title: NOAA/WDS Paleoclimatology - Southern Ocean Middle Eocene to Early Oligocene Paleoceanographic Data

description: The Agulhas Ridge, off the tip of Africa between the Atlantic and Indian Oceans, is ideally located to capture the evolution of Paleogene-early Neogene circulation patterns associated with global cooling. Multiproxy records of productivity (biogenic barium (Baex), opal, CaCO3 mass accumulation rates (MARs)), nutrient and organic carbon burial (reactive phosphorus (Pr) MARs), and redox state of deep waters (U enrichment) from Ocean Drilling Program (ODP) Site 1090 reflect hydrographic shifts in this region between the middle Eocene and early Oligocene (?3933 Ma). Several peaks in increased export productivity and burial of organic matter occurred within the late Eocene (?36.5, ?34, and ?33.7 Ma), which along with surface hydrologic conditions favoring opaline organisms over calcareous organisms could have aided in the draw down of pCO2 to a threshold level that facilitated large ice sheet development on Antarctica in the earliest Oligocene. Our multiproxy approach illustrates the importance of vertical as well as spatial hydrographic reorganization in amplifying or driving climatic cooling of the middle Eocene to early Oligocene by facilitating increases in the relative or absolute burial of organic carbon.
DOI: 10.25921/tt4j-jb78
title: NOAA/WDS Paleoclimatology - Flynt - Deerfield-Montague - PIRI - ITRDB MA015

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: NOAA Template Raw Measurements file added 2019-02-08.
DOI: 10.25921/ttwd-xk37
title: NOAA/WDS Paleoclimatology - Cook - Loon Lake - TSCA - ITRDB MI006

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: NOAA Template Chronology file added 2018-12-20. NOAA Template Raw Measurements file added 2019-02-08.
DOI: 10.3535/abc-c1g-8bt
title: †Nummulites variolarius (Lamarck, 1804)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pbg-3da-xaz
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bkj-b1l-exv
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fdh-m9d-mw0
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bxj-fvj-ks0
title: †Spiroclypeus leupoldi van der Vlerk, 1925

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.6084/m9.figshare.29672648
title: Supplementary dataset for <i>Monitoring treatment response using serial PTX3 levels in chronic and invasive pulmonary aspergillosis</i>

description: This dataset contains case-level data for regression analysis. The “No.” in the dataset does not represent a patient ID or case identifier; it is only a row index for convenience.<b>Dataset A: Demographics & Comorbidities</b><br>De-identified demographics and comorbidities for CPA/IPA study. Each row corresponds to one case.<b>Dataset B: PTX3 concentration </b>: for scatter plot and ROC curve. Each row corresponds to one case.<b>Dataset C: PTX3 & Treatment Response</b><br>Serial PTX3 levels and treatment response data in CPA/IPA. Each row corresponds to one case.<b>Dataset D: PTX3 & NET Regression</b><br>Log₂-transformed PTX3 and NET response values for regression analysis in all patients. Not all cases have complete stimulated NET data; missing values are left blank. Data with complete log2-transformed stimulated NET values and PTX3 level were shown in the dataset.
DOI: 10.6084/m9.figshare.29672648.v1
title: Supplementary dataset for <i>Monitoring treatment response using serial PTX3 levels in chronic and invasive pulmonary aspergillosis</i>

description: This dataset contains case-level data for regression analysis. The “No.” in the dataset does not represent a patient ID or case identifier; it is only a row index for convenience.<b>Dataset A: Demographics & Comorbidities</b><br>De-identified demographics and comorbidities for CPA/IPA study. Each row corresponds to one case.<b>Dataset B: PTX3 concentration </b>: for scatter plot and ROC curve. Each row corresponds to one case.<b>Dataset C: PTX3 & Treatment Response</b><br>Serial PTX3 levels and treatment response data in CPA/IPA. Each row corresponds to one case.<b>Dataset D: PTX3 & NET Regression</b><br>Log₂-transformed PTX3 and NET response values for regression analysis in all patients. Not all cases have complete stimulated NET data; missing values are left blank. Data with complete log2-transformed stimulated NET values and PTX3 level were shown in the dataset.
DOI: 10.3535/9q2-jez-pvq
title: †Miogypsina polymorpha (Rutten, 1911)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qrc-b7z-lxs
title: Amphistegina d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/shp-7nv-185
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vpz-vl7-kgy
title: †Nummulites Lamarck, 1801

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/64j-mlm-4x1
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gkw-kk4-wq6
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.