cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1403724.10fu
title: SH1403724.10FU

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/sh1403727.10fu
title: SH1403727.10FU

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/sh1403728.10fu
title: SH1403728.10FU

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/sh1403730.10fu
title: SH1403730.10FU

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.9kyrs5
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia larica Boiss.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 143 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010400-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cf7pkh
title: Occurrence Download

description: A dataset containing 39649 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Campanula barbata L."
 ]
}

 The dataset includes 39649 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010399-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17559066
title: Data for Improving the planetary boundary layer parameterizations of tropical cyclones using Large-Eddy Simulation
DOI: 10.5281/zenodo.17559067
title: Data for Improving the planetary boundary layer parameterizations of tropical cyclones using Large-Eddy Simulation
DOI: 10.6084/m9.figshare.30574721
title: Baryonic Matter Physics Validation – AI GROK Comparative Review and 3I/ATLAS Field Prediction

description: This publication presents a formal validation of Baryonic Matter (BM) Physics, a deterministic and dark-matter-free cosmological framework developed by Charles F. Konkle over 23 years. Independently verified by AI Grok 4 on October 31 2025 as the most complete alternative to ΛCDM, this work demonstrates how BM Physics explains interstellar comet anomalies—specifically those of 2I/Borisov and 3I/ATLAS (C/2025 N1)—through Snap Points, defined as transient compression zones within baryonic curvature fields.The study correlates Borisov’s extreme CO enrichment with ATLAS’s emerging CO₂ excess as deterministic outcomes of field-driven desorption rather than thermal outgassing. It introduces the critical density threshold (ρ_c)—the curvature-compression limit at which baryonic geometry resonates with molecular vibration frequencies—providing a clear layperson explanation of why lighter molecules (CO, CH₄, N₂) desorb first.Key contributions include:The Konkle–Baryonic Unified Equation ( f = κ · m , κ ≈ 1.356 × 10⁵⁰ Hz/kg ), scaling coherently from molecular to cosmic systems.A comparative Grok 4 benchmark table showing BM Physics achieving mathematical closure and empirical accuracy without dark-matter tuning.Predicted 3I/ATLAS deviations (ΔRA, ΔDec, Δv) for the period Nov 6 – Dec 7 2025, consistent with observed baryonic curvature zones.A detailed explanation of ρ_c resonance mechanics, connecting quantum vibrational behavior to macroscopic orbital effects.Discussion of falsifiability criteria, with measurable outcomes expected before December 2025.BM Physics unifies cosmic dynamics and molecular chemistry under one deterministic framework, replacing probabilistic “dark” models with a baryon-only universe driven by geometric feedback.
DOI: 10.6084/m9.figshare.30574721.v1
title: Baryonic Matter Physics Validation – AI GROK Comparative Review and 3I/ATLAS Field Prediction

description: This publication presents a formal validation of Baryonic Matter (BM) Physics, a deterministic and dark-matter-free cosmological framework developed by Charles F. Konkle over 23 years. Independently verified by AI Grok 4 on October 31 2025 as the most complete alternative to ΛCDM, this work demonstrates how BM Physics explains interstellar comet anomalies—specifically those of 2I/Borisov and 3I/ATLAS (C/2025 N1)—through Snap Points, defined as transient compression zones within baryonic curvature fields.The study correlates Borisov’s extreme CO enrichment with ATLAS’s emerging CO₂ excess as deterministic outcomes of field-driven desorption rather than thermal outgassing. It introduces the critical density threshold (ρ_c)—the curvature-compression limit at which baryonic geometry resonates with molecular vibration frequencies—providing a clear layperson explanation of why lighter molecules (CO, CH₄, N₂) desorb first.Key contributions include:The Konkle–Baryonic Unified Equation ( f = κ · m , κ ≈ 1.356 × 10⁵⁰ Hz/kg ), scaling coherently from molecular to cosmic systems.A comparative Grok 4 benchmark table showing BM Physics achieving mathematical closure and empirical accuracy without dark-matter tuning.Predicted 3I/ATLAS deviations (ΔRA, ΔDec, Δv) for the period Nov 6 – Dec 7 2025, consistent with observed baryonic curvature zones.A detailed explanation of ρ_c resonance mechanics, connecting quantum vibrational behavior to macroscopic orbital effects.Discussion of falsifiability criteria, with measurable outcomes expected before December 2025.BM Physics unifies cosmic dynamics and molecular chemistry under one deterministic framework, replacing probabilistic “dark” models with a baryon-only universe driven by geometric feedback.
DOI: 10.15468/dl.wvbeby
title: Occurrence Download

description: A dataset containing 125209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chordata)",
 "HasCoordinate is true",
 "Geometry POLYGON((136.5969 -35.7534,\n 136.5969 -36.1389,\n 137.4050 -36.1389,\n 137.4050 -35.7534,\n 136.5969 -35.7534))"
 ]
}

 The dataset includes 125209 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023486-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/uyp2a
title: Journal data-sharing policies and its impact on publications: a cross-sectional study

description: This database provides the raw data for this study.
DOI: 10.15468/dl.2up7vg
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is Gopherus evgoodei"
 ]
}

 The dataset includes 99 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023493-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/kncj-ew18
title: "psychrometric chart "

description: "This psychrometric chart  is ued to describe the relationship betwenn humidity and temperature based on the data calculated from Magnus formula ."
DOI: 10.6084/m9.figshare.30570638.v1
title: Does the disclosure of biodiversity risk information affect the quality of analyst decision-making? :Empirical evidence from Chinese listed companies

description: <b>Does the disclosure of biodiversity risk information affect </b><b>the quality of analyst decision-making? :Empirical evidence from Chinese listed companies</b>
DOI: 10.5281/zenodo.17561961
title: Financial Stability in the Age of Digital Transformation: Evidence from Indonesian Banks Using SmartPLS on Regulatory Reforms, Insurance Mechanisms, and Governance Quality

description: Data Set for RP. financial Stability LPS 2025
DOI: 10.5281/zenodo.17561960
title: Financial Stability in the Age of Digital Transformation: Evidence from Indonesian Banks Using SmartPLS on Regulatory Reforms, Insurance Mechanisms, and Governance Quality

description: Data Set for RP. financial Stability LPS 2025
DOI: 10.34847/nkl.10fd9gh1
title: Étudier les communes nouvelles 2010-2025

description: Archive regroupant les données, codes et résultats utilisés ou produits dans le cadre des travaux réalisés par Gabriel Bideau autour de la question des communes nouvelles, en particulier dans le cadre de sa thèse (soutenue le 6 décembre 2024).

Publications : https://cv.hal.science/gabriel-bideau

Archives complémentaires : https://gbideau.github.io/CN_data/

Contact : gabriel.bideau@gmail.com
DOI: 10.5281/zenodo.17561983
title: DOC_ORCHIDEE
DOI: 10.5281/zenodo.17561984
title: DOC_ORCHIDEE
DOI: 10.57967/hf/6951
title: OpenTextVault_FromTheNetwork
DOI: 10.5281/zenodo.17561976
title: Storage Rates Prediction Matchup Files

description: Matchup dataset used for reservoir storage ratio prediction model training and evaluation (2013–2024).Includes daily observed and simulated values for multiple reservoirs.
DOI: 10.5281/zenodo.17561977
title: Storage Rates Prediction Matchup Files

description: Matchup dataset used for reservoir storage ratio prediction model training and evaluation (2013–2024).Includes daily observed and simulated values for multiple reservoirs.
DOI: 10.57967/hf/6950
title: OpenTextVault
DOI: 10.57967/hf/6953
title: OpenTextVault
DOI: 10.15468/dl.3ywpb4
title: Occurrence Download

description: A dataset containing 125209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chordata, Chordata)",
 "HasCoordinate is true",
 "Geometry POLYGON((136.5969 -35.7534,\n 136.5969 -36.1389,\n 137.4050 -36.1389,\n 137.4050 -35.7534,\n 136.5969 -35.7534))"
 ]
}

 The dataset includes 125209 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023494-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wkvrkd
title: Occurrence Download

description: A dataset containing 125209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chordata)",
 "HasCoordinate is true",
 "Geometry POLYGON((136.5969 -35.7534,\n 136.5969 -36.1389,\n 137.4050 -36.1389,\n 137.4050 -35.7534,\n 136.5969 -35.7534))"
 ]
}

 The dataset includes 125209 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023492-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17554695
title: Data for the role of hydrogen in China's electricity and hard-to-abate sectors - supplementary data after the revision

description: This is the dataset after the revision of the paper
DOI: 10.5281/zenodo.13937323
title: Data for the role of hydrogen in China's electricity and hard-to-abate sectors - supplementary data after the revision

description: This is the dataset after the revision of the paper
DOI: 10.15468/dl.5ew95m
title: Occurrence Download

description: A dataset listing the 37031 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "TaxonKey is Fungi"
 ]
}

 The dataset's 37031 records were derived from 378 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023495-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13662465
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.7t72bw
title: Occurrence Download

description: A dataset containing 3831 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyathea andina"
 ]
}

 The dataset includes 3831 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023500-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xvv6tp
title: Occurrence Download

description: A dataset listing the 36676 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Human Observation, Specimen, Material sample)",
 "Country is Canada",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset's 36676 records were derived from 338 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023498-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17541048
title: Sphenomorphini Phylogenomics Manuscript Supplementary Materials
DOI: 10.5281/zenodo.17541049
title: Sphenomorphini Phylogenomics Manuscript Supplementary Materials
DOI: 10.5281/zenodo.17561718
title: Underwater images collected by a Kite surf in Le-Morne-Manu, Mauritius - 2019-09-20

description: This dataset was collected by a Kite surf in Le-Morne-Manu, Mauritius - 2019-09-20. 

            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!
DOI: 10.15148/19ea580a-d1c3-4505-bdc4-5cc4c7170538
title: Epos-France - GPSMob data - Mission n° 00-153 - Etna (2000) - 2000-05-09 / 2000-05-13 - 1 points

description: Epos-France - GPSMob data from the mission n°00-153 in Etna (2000).Responsibles: Pierre Briole. Mission started on 2000-05-09 and ended on 2000-05-13. Data were measured on approximately 1 points. The data for each mission is organized in several subdirectories: (i) raw: contains what has been identified as raw data, if ever provided; (ii) rinex: contains the rinex files, possibly split by day, renamed in lower case and with the most likely point name, in d.Z format; (iii) meta: contains all other files (calculation configuration files, field logs, photos, etc.). If permanent GNSS data are included in this archive, they are not intended for distribution here, we strongly invite the user to not use them and to download original data provided by official producers (ex. IGS). They will soon be deleted from this archive.
DOI: 10.25549/wpacards-ouc11580378
title: WPA household census for 3908 EAST 2ND PLACE, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.15148/46918e62-b17c-4dd1-b644-94be281c799d
title: Epos-France - GPSMob data - Mission n° 00-179 - Mongolie (2000) - 2000-04-30 / 2000-12-23 - 149 points

description: Epos-France - GPSMob data from the mission n°00-179 in Mongolie (2000).Responsibles: Eric Calais. Mission started on 2000-04-30 and ended on 2000-12-23. Data were measured on approximately 149 points. The data for each mission is organized in several subdirectories: (i) raw: contains what has been identified as raw data, if ever provided; (ii) rinex: contains the rinex files, possibly split by day, renamed in lower case and with the most likely point name, in d.Z format; (iii) meta: contains all other files (calculation configuration files, field logs, photos, etc.). If permanent GNSS data are included in this archive, they are not intended for distribution here, we strongly invite the user to not use them and to download original data provided by official producers (ex. IGS). They will soon be deleted from this archive.
DOI: 10.15148/7aead729-6c92-47b7-934c-bb75f98fb6a8
title: Epos-France - GPSMob data - Mission n° 00-162 - Arménie (2000) - 2000-07-04 / 2000-08-10 - 23 points

description: Epos-France - GPSMob data from the mission n°00-162 in Arménie (2000).Responsibles: Erik Doerflinger, Philippe Vernant. Mission started on 2000-07-04 and ended on 2000-08-10. Data were measured on approximately 23 points. The data for each mission is organized in several subdirectories: (i) raw: contains what has been identified as raw data, if ever provided; (ii) rinex: contains the rinex files, possibly split by day, renamed in lower case and with the most likely point name, in d.Z format; (iii) meta: contains all other files (calculation configuration files, field logs, photos, etc.). If permanent GNSS data are included in this archive, they are not intended for distribution here, we strongly invite the user to not use them and to download original data provided by official producers (ex. IGS). They will soon be deleted from this archive.