cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4xsc5n
title: Occurrence Download

description: A dataset containing 332 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cardamine chenopodiifolia"
 ]
}

 The dataset includes 332 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007580-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xpeqhz
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Physorhynchus brahuicus"
 ]
}

 The dataset includes 36 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007583-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dr3zdy
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coleosporium tussilaginis",
 "Country is Slovenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007581-250717081556266/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.29473373
title: Sornberger 2025 - Phylogenetic Tree Sequences

description: These files contain all the necessary sequences and information necessary to replicate the phylogenetic trees found in Supplemental Figures 4, 5B, and 6 of Sornberger <i>et al</i>. (<i>DOI will be linked at a later date</i>).The original input file (<i>'Sornberger2025.fasta'</i>) contains the sequences of all recombinantly expressed monoclonal antibodies (mAbs), related antibodies using the same heavy-chain variable gene sequence (with ≥ 80% nucleotide sequence identity in the HCDR3), and the germline variable gene (IGHV1-18).The Augur toolkit was used to align all sequences with the somatically mutated candidate mAb FluA-173 using the MAFFT method (<i>'augur-align-Sornberger2025.fasta'</i>). A maximum-likelihood tree was built using the IQ-TREE method and rooted to the germline gene (<i>'augur-tree-Sornberger2025.nwk'</i>). The tree was refined (<i>'augur-refined-Sornberger2025.nwk'</i>), visualized using the Auspice toolkit (<i>'auspice-input-Sornberger2025.json'</i>), and colored in Adobe Illustrator (resultant trees can be found in Supplemental Figures).
DOI: 10.6084/m9.figshare.29473373.v1
title: Sornberger 2025 - Phylogenetic Tree Sequences

description: These files contain all the necessary sequences and information necessary to replicate the phylogenetic trees found in Supplemental Figures 4, 5B, and 6 of Sornberger <i>et al</i>. (<i>DOI will be linked at a later date</i>).The original input file (<i>'Sornberger2025.fasta'</i>) contains the sequences of all recombinantly expressed monoclonal antibodies (mAbs), related antibodies using the same heavy-chain variable gene sequence (with ≥ 80% nucleotide sequence identity in the HCDR3), and the germline variable gene (IGHV1-18).The Augur toolkit was used to align all sequences with the somatically mutated candidate mAb FluA-173 using the MAFFT method (<i>'augur-align-Sornberger2025.fasta'</i>). A maximum-likelihood tree was built using the IQ-TREE method and rooted to the germline gene (<i>'augur-tree-Sornberger2025.nwk'</i>). The tree was refined (<i>'augur-refined-Sornberger2025.nwk'</i>), visualized using the Auspice toolkit (<i>'auspice-input-Sornberger2025.json'</i>), and colored in Adobe Illustrator (resultant trees can be found in Supplemental Figures).
DOI: 10.15468/dl.srbwr3
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphanomyces astaci",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007584-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3fggam
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON ((-104.9889 22.48298, -105.005 22.4867, -104.9943 22.46113, -105.0024 22.45819, -105.0201 22.46139, -105.0248 22.45957, -105.0528 22.42693, -105.0356 22.41859, -105.1104 22.42134, -105.1855 22.40962, -105.2794 22.42217, -105.276 22.40042, -105.2698 22.3911, -105.2405 22.28514, -105.1658 22.28526, -105.1498 22.20921, -105.1693 22.09996, -105.0971 22.09059, -105.0784 22.09868, -105.0763 22.0739, -105.0861 22.07543, -105.0729 22.06089, -105.0516 22.0504, -105.0521 22.02973, -105.0223 21.99548, -104.9668 22.00798, -104.9486 21.99375, -104.9724 21.95331, -104.9522 21.94171, -104.9517 21.90855, -105.0096 21.90749, -105.0115 21.89575, -104.9463 21.88794, -104.9462 21.85343, -104.9323 21.85316, -104.9269 21.86286, -104.9171 21.86598, -104.9024 21.86631, -104.9009 21.88859, -104.8907 21.88857, -104.894 21.89949, -104.9001 21.90144, -104.8837 21.93459, -104.8529 21.94503, -104.8373 21.96723, -104.8319 21.98073, -104.7943 22.0006, -104.8107 22.00359, -104.8023 22.01379, -104.8326 22.03451, -104.8247 22.07104, -104.873 22.20132, -104.8984 22.20645, -104.9794 22.24415, -104.9889 22.48298))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 97 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007585-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2ak99
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphanomyces astaci",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007587-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.52ecdh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Setophaga palmarum)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007589-250717081556266/datasets/export for details.
DOI: 10.7910/dvn/ncswra
title: Replication Data for: Does Ethnic Similarity Increase Well-Being?

description: How do people react to ethnic (dis)similarity? Whereas prior studies on ethnic diversity and intergroup contact often focus on interpersonal outcomes such as prejudice and trust, we turn to an essential intrapersonal phenomenon: well-being. We argue that ethnic similarity in the local setting increases well-being for both the ethnic majority and ethnic minority but for theoretically different reasons. To test our argument, we combine Danish registry data with panel survey data from all fourth to ninth grade students in Danish public schools (N~700,000). Across different identification strategies, we find that higher levels of classroom ethnic similarity increase well-being. Further, whereas being in a dominant position promotes well-being among the ethnic majority, simply having someone increases minority students’ well-being. This points to the complex nature of intergroup integration but also suggest that local settings with some minority members may foster minorities’ well-being without substantively reducing the well-being of the ethnic majority.
DOI: 10.15468/dl.we3t8k
title: Occurrence Download

description: A dataset containing 1737 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Plethodon websteri)"
 ]
}

 The dataset includes 1737 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007588-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3umyw
title: Occurrence Download

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

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007586-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6uy3q
title: Occurrence Download

description: A dataset containing 421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ammonia tepida",
 "Year 1990-2025"
 ]
}

 The dataset includes 421 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007593-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uhf2ra
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Apodemus agrarius",
 "Year 2005-2025"
 ]
}

 The dataset includes 84 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007592-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dayy78
title: Occurrence Download

description: A dataset containing 36395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Thymelaea passerina, Thymelaea passerina perennans, Thymelaea passerina perennans, Arabis alpina, Arabidium alpinum, Arabis albida, Arabis alpina alpina, Arabis alpina albida, Arabis alpina declinata, Arabis alpina ruderalis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 36395 records from 333 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007591-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.46t7az
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sida chinensis"
 ]
}

 The dataset includes 36 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007595-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tvpysh
title: Occurrence Download

description: A dataset containing 106223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Juncus tenuis, Juncus tenuis nakaii, Juncus lucidus, Juncus aristatus, Juncus macer, Juncus chloroticus, Juncus tenuis multicornis, Juncus tenuis williamsii, Juncus gracilis, Juncus vacillans, Juncus pallidus, Juncus chlorotichus, Juncus smithii, Juncus tristanianus, Juncus tenuis victorinii, Juncus gesneri, Juncus germanorum, Juncus involucratus, Juncus tenuis nakaii, Juncus tenuis tenuis, Juncus bicornis williamsii, Juncus subtenuis, Juncus pallidus, Juncus bicornis, Juncus tenuis tenuis, Juncus tenuis laxiflorus, Juncus tenuis laxiflorus, Juncus tenuis laxiflorus, Juncus tenuis multicornis, Juncus macer williamsii, Juncus tenuis williamsii, Juncus macer williamsii, Juncus macer williamsii, Juncus tenuis williamsii, Juncus bicornis williamsii, Juncus tenuis germanorum, Juncus tenuis germanorum, Juncus tenuis bicornis, Juncus tenuis bicornis, Juncus tenuis bicornis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 106223 records from 1221 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007566-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17556852
title: Underwater images collected by  Scuba diving in Rodrigues, Mauritius - 2019-05-23

description: This dataset was collected by  Scuba diving in Rodrigues, Mauritius - 2019-05-23. 

            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.17556871
title: Underwater images collected by  Scuba diving in Rodrigues, Mauritius - 2019-05-23

description: This dataset was collected by  Scuba diving in Rodrigues, Mauritius - 2019-05-23. 

            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: 10.15468/dl.r2j8gk
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((17.05046 50.82011,20.25151 50.82011,20.25151 53.05658,17.05046 53.05658,17.05046 50.82011))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pulsatilla patens"
 ]
}

 The dataset includes 79 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022831-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/0h2-rkk-l2r
title: Alpagrostis schleicheri (Jord. & Verl.) P.M.Peterson, Romasch., Soreng & Sylvester

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ctw-w8l-9t2
title: Aegilops caudata L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/cn1-b39-ra2
title: Thinopyrum elongatum (Host) D.R.Dewey

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fev-wsd-pz1
title: Lolium rigidum Gaudin

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/l91-z81-pjh
title: Poa bulbosa L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vmz-046-q7c
title: Decalepidanthus moltkioides (Benth.) Dickoré & Hilger

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yvx-2r8-j6w
title: Cuphea pertenuis R. C. Foster

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/flc-1tt-k5s
title: Hyperbaena domingensis (DC.) Benth.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gj6-24n-bb4
title: Agrostis mertensii Trin.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1pb-pan-ls4
title: Suchtelenia laevigata (Kar. & Kir.) Sennikov

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/twj-fta-ven
title: Indigofera nyassica Gilli

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1nf-a6a-d1m
title: Achnatherum calamagrostis (L.) P.Beauv.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xm7-mnm-8he
title: Stuckenia vaginata (Magnin) Holub

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.arcrm8
title: Occurrence Download

description: A dataset containing 163916 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Geranium pusillum"
 ]
}

 The dataset includes 163916 records from 1053 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075069-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/1ev-4z9-p0y
title: Festuca varia Haenke

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/e2z-gbe-e22
title: Achnatherum calamagrostis (L.) P.Beauv.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1d4-z0j-13d
title: Stuckenia vaginata (Magnin) Holub

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/em3-7se-t46
title: Rumex arifolius All.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9gl-wwb-kz1
title: Pilosella densiflora subsp. densiflora

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bdj-3gm-kg0
title: Elymus longearistatus (Boiss.) Tzvelev

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dd5-5td-mqn
title: Potamogeton perfoliatus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6va-mmm-000
title: Cardamine glauca Spreng.

description: Digital Specimen for the physical specimen hosted at University of Graz.