cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12561613
title: Dataset: Premier, Inc. (PINC) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561616
title: Dataset: Invesco Global Water ETF (PIO) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561617
title: Dataset: Invesco Global Water ETF (PIO) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561619
title: Dataset: Pieris Pharmaceuticals, Inc. (PIRS) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561620
title: Dataset: Pieris Pharmaceuticals, Inc. (PIRS) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561623
title: Dataset: ShiftPixy, Inc. (PIXY) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561624
title: Dataset: ShiftPixy, Inc. (PIXY) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561625
title: Dataset: Invesco Dorsey Wright Developed Markets Momentum ETF (PIZ) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561626
title: Dataset: Invesco Dorsey Wright Developed Markets Momentum ETF (PIZ) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561627
title: Dataset: Parke Bancorp, Inc. (PKBK) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561628
title: Dataset: Parke Bancorp, Inc. (PKBK) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561635
title: Dataset: Park-Ohio Holdings Corp. (PKOH) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561636
title: Dataset: Park-Ohio Holdings Corp. (PKOH) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561637
title: Dataset: Invesco BuyBack Achievers ETF (PKW) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561638
title: Dataset: Invesco BuyBack Achievers ETF (PKW) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.15468/dl.5bg9q6
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Trachypithecus crepusculus (Elliot, 1909)"
 ]
}

 The dataset includes 91 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001393-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12561639
title: Dataset: Photronics, Inc. (PLAB) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561640
title: Dataset: Photronics, Inc. (PLAB) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561641
title: Dataset: Patria Latin American Opportunity Acquisition Corp. (PLAO) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561642
title: Dataset: Patria Latin American Opportunity Acquisition Corp. (PLAO) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561645
title: Dataset: Patria Latin American Opportunity Acquisition Corp. (PLAOU) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561646
title: Dataset: Patria Latin American Opportunity Acquisition Corp. (PLAOU) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561649
title: Dataset: Patria Latin American Opportunity Acquisition Corp. (PLAOW) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561650
title: Dataset: Patria Latin American Opportunity Acquisition Corp. (PLAOW) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561651
title: Dataset: Dave & Buster's Entertainment, Inc. (PLAY) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561652
title: Dataset: Dave & Buster's Entertainment, Inc. (PLAY) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561653
title: Dataset: Plumas Bancorp (PLBC) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12561654
title: Dataset: Plumas Bancorp (PLBC) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.15468/dl.vknqmw
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Petaurista philippensis (Elliot, 1839), Petaurista philippensis lylei Bonhote, 1900, Petaurista hainana G.M.Allen, 1925, Pteromys grandis Swinhoe, 1863, Petaurista petaurista rufipes Sody, 1949)",
 "Year 1970-2024"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001394-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37d7dz
title: Occurrence Download

description: A dataset containing 1801 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Monitoreo en playas de anidación de tortugas marinas en Ecuador continental"
 ]
}

 The dataset includes 1801 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001395-240626123714530/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/8798213
title: Layline Shareholder activism dataset
DOI: 10.15468/dl.4c9yjq
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Mongolia, China)",
 "OccurrenceStatus is Present",
 "TaxonKey is Capra sibirica (Pallas, 1776)"
 ]
}

 The dataset includes 199 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001396-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9ywav
title: Occurrence Download

description: A dataset containing 5507817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year 2000-2024"
 ]
}

 The dataset includes 5507817 records from 3427 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001384-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17338507
title: Red-River-Fault-Kinematics: Kinematics of Evolving Block Boundaries: an example from the Red River Fault, Southeastern Tibetan Plateau

description: BLOCKS/ This folder contains all parameter and result files used in the BLOCKS modeling process.




Kinematic_Computation_Along_Fault_Strikes/ This directory provides Python scripts for computing velocity components parallel and perpendicular to fault strikes. These computations are based on the Euler poles derived from the BLOCKS modeling.




Restoration_of_Block_Positions_to_5Ma/ This folder contains scripts that reconstruct the positions of tectonic blocks back to 5 Ma. The restoration is performed using the Euler pole parameters and rotation rates obtained from the BLOCKS results, allowing visualization of long-term block displacements and fault evolution.




Controls_on_Fault_Kinematics/ This directory includes the code used to evaluate the dominant control on the along-strike variations in fault kinematics.



Notes: All scripts are written in Python and designed to be compatible with standard geospatial and numerical libraries (e.g., numpy, pandas, geopandas, shapely, matplotlib). Model input data and example output files are provided for reproducibility. Detailed parameter descriptions and usage examples can be found within each subfolder.
DOI: 10.5281/zenodo.17338508
title: Red-River-Fault-Kinematics: Kinematics of Evolving Block Boundaries: an example from the Red River Fault, Southeastern Tibetan Plateau

description: BLOCKS/ This folder contains all parameter and result files used in the BLOCKS modeling process.




Kinematic_Computation_Along_Fault_Strikes/ This directory provides Python scripts for computing velocity components parallel and perpendicular to fault strikes. These computations are based on the Euler poles derived from the BLOCKS modeling.




Restoration_of_Block_Positions_to_5Ma/ This folder contains scripts that reconstruct the positions of tectonic blocks back to 5 Ma. The restoration is performed using the Euler pole parameters and rotation rates obtained from the BLOCKS results, allowing visualization of long-term block displacements and fault evolution.




Controls_on_Fault_Kinematics/ This directory includes the code used to evaluate the dominant control on the along-strike variations in fault kinematics.



Notes: All scripts are written in Python and designed to be compatible with standard geospatial and numerical libraries (e.g., numpy, pandas, geopandas, shapely, matplotlib). Model input data and example output files are provided for reproducibility. Detailed parameter descriptions and usage examples can be found within each subfolder.
DOI: 10.15454/xs1rpm
title: Plan de Gestion de Données UMR BIOGECO

description: Plan de gestion des données de l'UMR INRAE BIOGECO Ce document explicite la manière dont sont obtenues, documentées, analysées, disséminées et archivées les données produites par l'UMR. Ce document est conçu comme un outil pour gérer les données en intégrant la notion de cycle de vie. Le PGD s’étend donc de la production (ou la collecte) des données à leur diffusion et/ou leur archivage, en passant par leur stockage, leur traitement / curation, leur analyse et leur description. Ce document a vocation à être référencé dans les PGD de projets élaborés dans le cadre des différentes réponses à appel d'offre. Plan de gestion de données créé à l'aide de DMP OPIDoR, basé sur le modèle "INRAE - Trame Structure" fourni par INRAE - Institut national de recherche pour l'agriculture l'alimentation et l'environnement. Vous pouvez citer le DOI de ce plan comme source, mais l'utilisation de toute partie mise à jour de ce plan n'implique pas que le(s) créateur(s) soutienne(nt) ou ait(nt) un quelconque lien avec votre projet ou votre soumission.
DOI: 10.15468/dl.336nrr
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scaphopoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((60 60,90 60,90 90,60 90,60 60))"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012928-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1383180.10fu
title: SH1383180.10FU

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: 10.34740/kaggle/dsv/14483239
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15156/bio/sh1383181.10fu
title: SH1383181.10FU

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/sh1383184.10fu
title: SH1383184.10FU

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/sh1383185.10fu
title: SH1383185.10FU

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.