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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia monacantha Haw.",
 "Country is Samoa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112815-250525065834625/datasets/export for details.
DOI: 10.3535/t4g-qd2-dc2
title: Neotorularia Hedge & J. Léonard

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/va2-vj6-wfy
title: Megacarpaea delavayi Franch.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/36z-j5s-vwr
title: Valeriana L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/671-nc2-v1r
title: Draba L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/lx2-ndm-hm6
title: Corydalis racemosa (Thunb.) Pers.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/8ev-gjk-6ma
title: Valeriana officinalis L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/tgq-xml-1s6
title: Corydalis adunca Maxim.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/hmz-qka-x54
title: Corydalis capnoides (L.) Pers.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/lbn-012-z98
title: Valeriana officinalis L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/pxn-s0h-4sn
title: Liquidambar formosana Hance

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/gqa-6e8-sbn
title: Eriocapitella tomentosa (Maxim.) Christenh. & Byng

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/se5-dnw-nm2
title: Valeriana officinalis L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/lsz-ykl-kcq
title: Corydalis melanochlora Maxim.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/mpe-qtx-qjw
title: Corydalis linarioides Maxim.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/sst-0bx-zvy
title: Apiaceae Lindl.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/tqc-xm4-16r
title: Apiaceae Lindl.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/8zx-ajm-rw6
title: Adenophora himalayana Feer

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/wl5-3kh-ba1
title: Caprifoliaceae Juss.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ybm-k7m-e3b
title: Iris Tourn. ex L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.5281/zenodo.11125848
title: Seatizen Atlas

description: The deposit is currently a work in progress, but it will soon serve as a comprehensive repository. Once completed, it will include: 
            

            
 Geopackage File: This file will store extensive geospatial data, allowing for efficient management and analysis of spatial information.
            
 CSV Files: These files will bring together all key information in an accessible and easy-to-read format, ensuring that key data is easily available and well-organized.
            

            CSV files include:
            

            
session_doi.csv: A CSV file listing all sessions published on Zenodo. This file contains the following columns:
            

            
 session_name: Identifies the session.
            
 session_doi: Indicates the URL of the session.
            
 place: Indicates the location of the session.
            
 date: Indicates the date of the session.
            
 raw_data: Indicates whether the session contains raw data.
            
 processed_data: Indicates whether the session contains processed data.
            
            
metadata_images.csv: A CSV file describing all metadata for each image published in open access. This file contains the following columns:
            

            
 OriginalFileName: Indicates the original name of the photo.
            
 FileName: Indicates the name of the photo adapted to the naming convention adopted by the Seatizen team (i.e., YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number_originalimagename.*). 
            
 relative_file_path: Indicates the path of the image in the deposit.
            
 frames_doi: Indicates the DOI of the version where the image is located.
            
 GPSLatitude: Indicates the latitude of the image (if available).
            
 GPSLongitude: Indicates the longitude of the image (if available).
            
 GPSAltitude: Indicates the depth of the frame (if available).
            
 GPSRoll: Indicates the roll of the image (if available).
            
 GPSPitch: Indicates the pitch of the image (if available).
            
 GPSTrack: Indicates the track of the image (if available).
            
 prediction_doi: Refers to a specific model prediction on the current image (if available). 
            
 Columns for each class predicted by the model.
            

            
metadata_annotation.csv: A CSV file listing the subset of all the images that are annotated, along with their annotations. This file contains the following columns:
            

            
 FileName: Indicates the name of the photo.
            
 frame_doi: Indicates the DOI of the version where the image is located.
            
 relative_file_path: Indicates the path of the image in the deposit.
            
 annotation_date: Indicates the date when the image was annotated.
            
 Columns for each class with values: 
                

                    
 1: If the class is present.
                    
 0: If the class is absent.
                    
 -1: If the class was not annotated.
DOI: 10.13140/rg.2.1.2299.0320
title: Presentation: Forecasting of the radioactive contamination by Cs-137 following fires in Chernobyl Exclusion Zone in April-May, 2015
DOI: 10.15468/dl.g35452
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Adistemia watsoni",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000715-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17305084
title: Tox Free projects - datasets of work package 3 for D3.4 and D3.5

description: Datasets include the raw data for the datasets shown in deliverables D3.4 and D3.5 from WP3 in the Tox Free project
DOI: 10.15468/dl.kjsaxs
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000714-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/53e1d34a-252e-4f42-8b08-31c17f375e0a
title: Dynamic observation of topological solitons in liquid crystal medium

description: This video series illustrates the electrical manipulation of topological solitons with different polarities. The experiments were performed using a polarized optical microscope under crossed polarizers, allowing visualization of the solitons’ dynamic behavior. The objective is to reveal how polarity influences their relaxation dynamics and interactions with neighboring topological solitons during electrical modulation.
DOI: 10.4121/53e1d34a-252e-4f42-8b08-31c17f375e0a.v1
title: Dynamic observation of topological solitons in liquid crystal medium

description: This video series illustrates the electrical manipulation of topological solitons with different polarities. The experiments were performed using a polarized optical microscope under crossed polarizers, allowing visualization of the solitons’ dynamic behavior. The objective is to reveal how polarity influences their relaxation dynamics and interactions with neighboring topological solitons during electrical modulation.
DOI: 10.15468/dl.5uvs2c
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Inga yacoana)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 109 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011200-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0168599.10fu
title: SH0168599.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0168600.10fu
title: SH0168600.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.fpr95k
title: Occurrence Download

description: A dataset containing 211 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chersobius signatus"
 ]
}

 The dataset includes 211 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001329-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0168601.10fu
title: SH0168601.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0168602.10fu
title: SH0168602.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.3vd2sw
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((75.47244600000001 20.641794, 75.397397 20.636218, 75.32421100000001 20.619628, 75.254707 20.592435, 75.19060500000001 20.555315, 75.13349100000001 20.509189, 75.08477499999999 20.455199, 75.045653 20.394683, 75.017081 20.329136, 74.99975000000001 20.260179, 74.994074 20.189511, 75.000176 20.118875, 75.01789100000001 20.050008, 75.046768 19.984603, 75.08608599999999 19.924265, 75.13487000000001 19.870473, 75.19191600000001 19.824544, 75.25582199999999 19.787602, 75.325022 19.760551, 75.397823 19.744052, 75.47244600000001 19.738507, 75.54706899999999 19.744052, 75.61987000000001 19.760551, 75.68907 19.787602, 75.752976 19.824544, 75.810022 19.870473, 75.858806 19.924265, 75.898124 19.984603, 75.927001 20.050008, 75.944716 20.118875, 75.950818 20.189511, 75.945142 20.260179, 75.92781100000001 20.329136, 75.89923899999999 20.394683, 75.860117 20.455199, 75.811401 20.509189, 75.75428700000001 20.555315, 75.690185 20.592435, 75.620681 20.619628, 75.547495 20.636218, 75.47244600000001 20.641794))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001328-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0168603.10fu
title: SH0168603.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0168604.10fu
title: SH0168604.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0168605.10fu
title: SH0168605.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0168606.10fu
title: SH0168606.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0168607.10fu
title: SH0168607.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0168608.10fu
title: SH0168608.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.