cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/psp-8hr-5x8
title: Epilobium collinum C. C. Gmel.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/sl8-fkv-8mk
title: Frangula alnus Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0018191.10fu
title: SH0018191.10FU

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: 10.3535/gfd-ac5-35h
title: Frangula alnus Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/lrl-848-s6w
title: Impatiens noli-tangere L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0018192.10fu
title: SH0018192.10FU

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: 10.3535/jy4-byg-9j4
title: Frangula alnus Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/x6h-xgs-8pa
title: Rubus nessensis Hall

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0018193.10fu
title: SH0018193.10FU

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: 10.3535/a53-6em-5rl
title: Rubus nessensis Hall

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/kck-z7p-lh4
title: Frangula alnus Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0018194.10fu
title: SH0018194.10FU

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: 10.3535/tbc-7xr-e7z
title: Epilobium collinum C. C. Gmel.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/9c0-6pq-hry
title: Frangula alnus Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/hp6-92z-gze
title: Epilobium montanum L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0018195.10fu
title: SH0018195.10FU

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: 10.3535/h5m-f7d-7pz
title: Epilobium montanum L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/jdd-cal-6tl
title: Epilobium montanum L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15468/dl.meywe5
title: Occurrence Download

description: A dataset containing 101463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Elodea nuttallii (Planch.) H.St.John)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 101463 records from 533 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007515-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tx6wsp
title: Occurrence Download

description: A dataset containing 963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Agrostis capillaris L."
 ]
}

 The dataset includes 963 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007524-250227182400228/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.28357829
title: Figure 2A-B

description: Fluorescence microscopy of NT or ChmAg1 <i>E. coli</i> cells infected by phage Goslar carrying GFP-tagged phage protein gp58. Images were collected at 60 mpi. Channel 1: outer membrane (FM4-64), channel 2: all membranes (MitoTracker Green FM), channel 3: DNA (DAPI), channel 4: brightfield.
DOI: 10.6084/m9.figshare.28357829.v3
title: Figure 2A

description: Fluorescence microscopy of NT or ChmAg1 <i>E. coli</i> cells infected by phage Goslar carrying GFP-tagged phage protein gp58. Images were collected at 60 mpi. Channel 1: outer membrane (FM4-64), channel 2: all membranes (MitoTracker Green FM), channel 3: DNA (DAPI), channel 4: brightfield.
DOI: 10.6084/m9.figshare.28357829.v4
title: Figure 2A-B

description: Fluorescence microscopy of NT or ChmAg1 <i>E. coli</i> cells infected by phage Goslar carrying GFP-tagged phage protein gp58. Images were collected at 60 mpi. Channel 1: outer membrane (FM4-64), channel 2: all membranes (MitoTracker Green FM), channel 3: DNA (DAPI), channel 4: brightfield.
DOI: 10.6084/m9.figshare.28551110
title: experimental data.csv

description: This paper focuses on enhancing the autonomous collision avoidance capability of ships under complex and dynamic sea conditions, particularly in scenarios where the own ship faces limited turning capabilities and the target ship exhibits uncertain dynamic behaviors. An innovative method for variable speed and course maneuver planning is proposed, which is more aligned with practical navigation conditions.
DOI: 10.6084/m9.figshare.28374080
title: Figure 1C, S1, S2A, S2D-E

description: Fluorescence microscopy of WT <i>E. coli</i> cells uninfected or infected by phage Goslar at 10, 30 or 60 mpi. Channel 1: outer membrane (FM4-64), channel 2: All membranes (MitoTracker Green FM), channel 3: DNA (DAPI), channel 4: brightfield.
DOI: 10.6084/m9.figshare.28374080.v3
title: Figure 1C, S1, S2A, S2D-E

description: Fluorescence microscopy of WT <i>E. coli</i> cells uninfected or infected by phage Goslar at 10, 30 or 60 mpi. Channel 1: outer membrane (FM4-64), channel 2: All membranes (MitoTracker Green FM), channel 3: DNA (DAPI), channel 4: brightfield.
DOI: 10.6084/m9.figshare.28374080.v2
title: Figure 1C, S1

description: Fluorescence microscopy of WT <i>E. coli</i> cells uninfected or infected by phage Goslar at 10, 30 or 60 mpi. Channel 1: outer membrane (FM4-64), channel 2: All membranes (MitoTracker Green FM), channel 3: DNA (DAPI), channel 4: brightfield.
DOI: 10.15468/dl.b6gdeu
title: Occurrence Download

description: A dataset containing 2442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Symphyotrichum chilense (Nees) G.L.Nesom"
 ]
}

 The dataset includes 2442 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007525-250227182400228/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.28374200
title: Figure 3E-F

description: Fluorescence microscopy of NT and ChmAg1 <i>E. coli</i> cells infected by phage Goslar carrying GFP-tagged phage vRNAP subunit gp196. Images were collected at 60 mpi. Channel 1: Outer membrane (FM4-64), channel 2: GFP-tagged gp196, channel 3: DNA (DAPI), channel 4: brightfield.
DOI: 10.6084/m9.figshare.28374200.v2
title: Figure 3E

description: Fluorescence microscopy of NT and ChmAg1 <i>E. coli</i> cells infected by phage Goslar carrying GFP-tagged phage vRNAP subunit gp196. Images were collected at 60 mpi. Channel 1: Outer membrane (FM4-64), channel 2: GFP-tagged gp196, channel 3: DNA (DAPI), channel 4: brightfield.
DOI: 10.6084/m9.figshare.28374200.v3
title: Figure 3E-F

description: Fluorescence microscopy of NT and ChmAg1 <i>E. coli</i> cells infected by phage Goslar carrying GFP-tagged phage vRNAP subunit gp196. Images were collected at 60 mpi. Channel 1: Outer membrane (FM4-64), channel 2: GFP-tagged gp196, channel 3: DNA (DAPI), channel 4: brightfield.
DOI: 10.15468/dl.c7yjkt
title: Occurrence Download

description: A dataset containing 261072 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Araneus Clerck, 1757"
 ]
}

 The dataset includes 261072 records from 1271 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007519-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5m6kvd
title: Occurrence Download

description: A dataset containing 2766 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vulpes vulpes fulvus (Desmarest, 1820)"
 ]
}

 The dataset includes 2766 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005332-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11205232
title: Underwater images collected by an Autonomous Surface Vehicle in Tessier, Réunion - 2024-05-15

description: This dataset was collected by an Autonomous Surface Vehicle in Tessier, Réunion - 2024-05-15. 

            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.

            

            
 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.11205430
title: Underwater images collected by an Autonomous Surface Vehicle in Tessier, Réunion - 2024-05-15

description: This dataset was collected by an Autonomous Surface Vehicle in Tessier, Réunion - 2024-05-15. 

            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.

            

            
 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: 10.15468/dl.n7dnrf
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "TaxonKey is Irvingia gabonensis (Aubry-Lecomte ex O'Rorke) Baill."
 ]
}

 The dataset includes 112 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002290-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-43998
title: Claims (GX 15572 - GX 15906), 1988

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1988. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15468/dl.6r6cc5
title: Occurrence Download

description: A dataset containing 809 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Squatina oculata Bonaparte, 1840"
 ]
}

 The dataset includes 809 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051544-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-44034
title: Claims (GX 15572 - GX 15906), 1988

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1988. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15468/dl.zjfggy
title: Occurrence Download

description: A dataset containing 777 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyla plicata Brocchi, 1877"
 ]
}

 The dataset includes 777 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002291-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-44004
title: Claims (GX 15572 - GX 15906), 1988

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1988. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.