cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6jm9xr
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Tillandsia eizii L.B.Sm."
 ]
}

 The dataset includes 97 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011113-250402121839773/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.28752212
title: Alignment_Fig1_Sporisorium.fasta

description: concatenated ITS+LSU alignments underlying Fig. 1
DOI: 10.6084/m9.figshare.28752212.v1
title: Alignment_Fig1_Sporisorium.fasta

description: concatenated ITS+LSU alignments underlying Fig. 1
DOI: 10.15468/dl.m8smeq
title: Occurrence Download

description: A dataset containing 660326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agarista populifolia (Lam.) Judd, Agastache foeniculum (Pursh) Kuntze, Agastache scrophulariifolia (Willd.) Kuntze, Agave decipiens Baker, Agave demeesteriana Jacobi, Agave lechuguilla Torr., Agave murpheyi Gibson, Agave vivipara L., Ageratina altissima (L.) R.M.King & H.Rob., Agoseris aurantiaca (Hook.) Greene, Agrimonia microcarpa Wallr., Agrimonia parviflora Aiton, Agrimonia rostellata Wallr., Agrimonia striata Michx., Agrostis elliottiana Schult., Agrostis exarata Trin., Agrostis idahoensis Nash, Agrostis mertensii Trin., Agrostis perennans (Walter) Tuck., Agrostis scabra Willd., Akebia ×pentaphylla (Makino) Makino, Alchemilla filicaulis Buser, Alchemilla subcrenata Buser, Alisma gramineum Lej., Allium carinatum L., Allium ×proliferum (Moench) Schrad. ex Willd., Allium textile A.Nelson & J.F.Macbr., Hemionitis lendigera (Cav.) Christenh., Alnus alnobetula (Ehrh.) K.Koch, Alnus incana (L.) Moench, Alnus rubra Bong., Alopecurus aequalis Sobol., Alopecurus carolinianus Walter, Alstroemeria pelegrina L., Alternanthera flavescens (Mart.) Kunth, Alternanthera littoralis P.Beauv., Malva setigera K.F.Schimp. & Spenn., Odontarrhena alpestris (L.) Ledeb., Amaranthus arenicola I.M.Johnst., Amaranthus australis (A.Gray) J.D.Sauer, Amaranthus cannabinus (L.) Sauer, Amaranthus fimbriatus (Torr.) Benth., Amaranthus macrocarpus Benth., Amaranthus palmeri S.Watson, Amaranthus polygonoides L., Amaranthus powellii S.Watson, Amaranthus scleropoides Uline & W.L.Bray, Amaranthus tuberculatus (Moq.) J.D.Sauer, Amaranthus watsonii Standl., Amblyolepis setigera DC.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 660326 records from 1971 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011091-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gtzfuv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Apterygiformes)",
 "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((90 60,120 60,120 90,90 90,90 60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058475-250920141307145/datasets/export for details.
DOI: 10.26023/6p26-nmtx-be07
title: TORUS_2022: NOXP Radar Data. Version 1.0

description: Observations from the mobile NOAA X-POL (NOXP) radar that was deployed at locations around the central United States plains for the TORUS_2022 campaign.
DOI: 10.26023/tdy1-sbc3-1z0q
title: TORUS-LItE: NOXP Radar Data. Version 1.0

description: Observations from the mobile NOAA X-POL (NOXP) radar that was deployed at locations around the central United States plains for the TORUS-LItE campaign.
DOI: 10.15468/dl.ct33jy
title: Occurrence Download

description: A dataset containing 340357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Asia, Oceania)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Merops philippinus",
 "Year 2009-2025"
 ]
}

 The dataset includes 340357 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058370-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/ea6s-ap37-yv10
title: SOS: Thermal IR Data. Version 1.0

description: This dataset contains data measured with the IR screen setup which is described in the readme file. To facilitate an overview of the captured situations, this dataset contains multiple short videos. The file names correspond to time in local time (Mountain Standard Time). On 2023-01-24 and 2023-02-27, local time is UTC-7h, while LT corresponds to UTC-6h for the measurements in May. Alongside with the videos, the original data is contained in a proprietary format. To open the *.irb-files, the InfraTec IRBIS 3 software is necessary. Furthermore, the file "SOS_IR_times.txt" contains a list of start and end times of all IR screen setup measurement sequences during the project. The original data is contained in a Proprietary Format which requires InfraTec IRBIS 3 software. The data have been packaged into zip files for ordering. This dataset and the individual day files are very large and only one file at a time can be ordered in an order.
DOI: 10.15468/dl.xx925j
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Morocco",
 "Geometry POLYGON((-19.79867 20.18964,0.74604 20.18964,0.74604 36.67709,-19.79867 36.67709,-19.79867 20.18964))",
 "HasGeospatialIssue is false",
 "TaxonKey is Nepeta"
 ]
}

 The dataset includes 170 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058476-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/m31b-vn13-q30x
title: CAESAR: University of California, Riverside Mobility Size Distribution Data. Version 1.0

description: Mobility-based aerosol size distributions from the TSI 3081 Differential Mobility Analyzer (DMA) that was deployed on the NSF NCAR C-130 aircraft for the CAESAR campaign. The DMA was in scanning mobility particle sizer (SMPS) mode.
DOI: 10.5281/zenodo.11180348
title: Underwater images collected by an Autonomous Surface Vehicle in Hermitage, Réunion - 2023-09-25

description: This dataset was collected by an Autonomous Surface Vehicle in Hermitage, Réunion - 2023-09-25. 

            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.

            

            
 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!
description: The Plancha project is co-financed by the Prefecture of Reunion as part of a 2019-2022 convergence and transformation contract, measure 3.3.1.1
DOI: 10.5281/zenodo.11198520
title: Underwater images collected by an Autonomous Surface Vehicle in Hermitage, Réunion - 2023-09-25

description: This dataset was collected by an Autonomous Surface Vehicle in Hermitage, Réunion - 2023-09-25. 

            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.

            

            
 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!
description: The Plancha project is co-financed by the Prefecture of Reunion as part of a 2019-2022 convergence and transformation contract, measure 3.3.1.1
DOI: 10.5281/zenodo.11200968
title: Underwater images collected by an Autonomous Surface Vehicle in Hermitage, Réunion - 2023-09-25

description: This dataset was collected by an Autonomous Surface Vehicle in Hermitage, Réunion - 2023-09-25. 

            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.

            

            
 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!
description: The Plancha project is co-financed by the Prefecture of Reunion as part of a 2019-2022 convergence and transformation contract, measure 3.3.1.1
DOI: 10.25549/pcra-c14-613
title: Puteshestvennik = The traveller, vol. 3, no. 9 (August 1926)

description: [description english/roman)] Irregular frequency
DOI: 10.25549/pcra-c14-570
title: Puteshestvennik = The traveller, vol. 2, no. 5 (August 1925)

description: [description english/roman)] Irregular frequency
DOI: 10.15468/dl.56b5jj
title: Occurrence Download

description: A dataset containing 4061 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Annulohypoxylon Y.M.Ju, J.D.Rogers & H.M.Hsieh"
 ]
}

 The dataset includes 4061 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0435636-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.97pkvp
title: Occurrence Download

description: A dataset containing 2285 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echinocactus texensis Hopffer"
 ]
}

 The dataset includes 2285 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013818-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-864
title: Puteshestvennik = The traveller, vol. 8, no. 10 (October 1931)

description: [description english/roman)] 12 issues per year
DOI: 10.15468/dl.tqbypp
title: Occurrence Download

description: A dataset containing 597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Crotalus basiliscus (Cope, 1864), Crotalus basiliscus basiliscus, Crotalus basiliscus oaxacus Gloyd, 1948)"
 ]
}

 The dataset includes 597 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005211-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zt7ct6
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.9.14_2",
 "TaxonKey is Didelphis virginiana Kerr, 1792",
 "Year 2003-2023"
 ]
}

 The dataset includes 51 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004658-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4mnybu
title: Occurrence Download

description: A dataset containing 828 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.97841 22.72369,-78.98038 22.67942,-78.84117 22.62187,-78.76591 22.60908,-78.65917 22.62433,-78.65228 22.6745,-78.64933 22.73943,-78.6631 22.78616,-78.71327 22.83437,-78.77722 22.83634,-78.83379 22.84618,-78.88397 22.8511,-78.94742 22.79748,-78.97841 22.72369))",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 828 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010780-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nygc8m
title: Occurrence Download

description: A dataset containing 2590 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cymbopogon caesius (Hook. & Arn.) Stapf"
 ]
}

 The dataset includes 2590 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000679-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nd4u3s
title: Occurrence Download

description: A dataset containing 433 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lontra provocax (Thomas, 1908)"
 ]
}

 The dataset includes 433 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002400-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z8u5us
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calathus halensis (Schaller, 1783)"
 ]
}

 The dataset includes 60 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016350-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-851
title: Puteshestvennik = The traveller, vol. 8, no. 9 (September 1931)

description: [description english/roman)] 12 issues per year
DOI: 10.15468/dl.7y5hvt
title: Occurrence Download

description: A dataset containing 8806754 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "StateProvince is Vermont"
 ]
}

 The dataset includes 8806754 records from 449 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004651-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aakhbf
title: Occurrence Download

description: A dataset containing 49136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pyrola minor L., Pyronema domesticum (Sowerby) Sacc., Pyropteron chrysidiforme (Esper, 1782))",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 49136 records from 298 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0325784-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.asm9eg
title: Occurrence Download

description: A dataset containing 6875 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((40.04637 20.15951,40.16304 19.70605,40.28747 19.42525,40.84547 18.47786,41.45463 17.27814,42.16144 17.6083,41.95219 17.75245,41.65161 18.01298,41.47568 18.31533,41.41758 18.51503,41.11959 19.06314,41.05646 19.15363,41.027 19.26516,40.96176 19.41878,40.8839 19.60186,40.82077 19.72181,40.74501 19.78073,40.57035 19.91541,40.46303 19.99327,40.26312 20.16372,40.04637 20.15951))"
 ]
}

 The dataset includes 6875 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002394-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mej9yw
title: Occurrence Download

description: A dataset containing 215 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dolichancistrus fuesslii (Steindachner, 1911)"
 ]
}

 The dataset includes 215 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0325813-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.