cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12558840
title: Dataset: Jasper Therapeutics, Inc. (JSPRW) 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.12558841
title: Dataset: Jet.AI Inc. (JTAI) 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.12558842
title: Dataset: Jet.AI Inc. (JTAI) 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.12558843
title: Dataset: Jet.AI Inc. (JTAIW) 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.12558844
title: Dataset: Jet.AI Inc. (JTAIW) 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.mc9zqs
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Holocentrum binotatum Quoy & Gaimard, 1834"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001127-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12558847
title: Dataset: Jet.AI Inc. (JTAIZ) 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.12558848
title: Dataset: Jet.AI Inc. (JTAIZ) 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.12558849
title: Dataset: JPMorgan U.S. Tech Leaders ETF (JTEK) 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.12558850
title: Dataset: JPMorgan U.S. Tech Leaders ETF (JTEK) 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.hy47m8
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gastropoda)",
 "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((0 -90,30 -90,30 -60,0 -60,0 -90))"
 ]
}

 The dataset includes 170 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012873-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3shydw
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008564-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.juqtkm
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018467-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9qzc5
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027495-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pcxeuu
title: Occurrence Download

description: A dataset containing 243412716 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 243412716 records from 7630 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057116-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x9d7dz
title: Occurrence Download

description: A dataset containing 11100 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polydora ciliata"
 ]
}

 The dataset includes 11100 records from 199 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017887-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ye4qeb
title: Occurrence Download

description: A dataset containing 2103 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colletes floralis"
 ]
}

 The dataset includes 2103 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017888-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2442t
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isachne lisboae"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017890-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ud8b2c
title: Occurrence Download

description: A dataset containing 6123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spermophilus citellus",
 "Year 1000-2025"
 ]
}

 The dataset includes 6123 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017889-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57680/asep.0640430
title: Bohemistické konsorcium
title: Czech Literary Studies Consortium
title: Bohemistické konsorcium – říjen 2025

description: Dataset obsahuje bibliografické záznamy publikací zahraničních bohemistek a bohemistů pracujících ve vědeckých institucích, které jsou partnery Konsorcia literárněvědné bohemistiky. Současně Konsorcium čítá 20 členských institucí z celé Evropy a z Asie. Excerpční záběr datasetu zahrnuje záznamy zdrojových dokumentů publikovaných po roku 2015 (rok založení Konsorcia) a tematicky odpovídá záběru současné bibliografie (beletrie, literární kritika, vztah k české literatuře, literárněvědné bohemistice, literární teorii a kultuře) se zvýšeným podílem textů publikovaných v cizích jazycích, včetně překladů původní české literární tvorby. Podklady pro přípravu záznamů jsou sklízeny z několika zdrojů: materiálů signalizovaných partnery, oborových časopisů, sborníků a monografií, zveřejňovaných a aktualizovaných na platformách vědecké komunikace profilů zapojených do Konsorcia vědeckých pracovníků nebo na webových stránkách a v repositářích jejích domovských institucí.
description: The dataset contains bibliographic records of publications by foreign Czech Literary Studies scholars working in scientific institutions that are partners of the Czech Literary Studies Consortium. At the moment the Consortium has 20 member institutions from all over Europe and from Asia. The excerpted scope of the dataset includes records of source documents published after 2015 and thematically corresponds to the scope of the current bibliography with an increased share of texts published in foreign languages, including translations of original Czech literary works. The data for the preparation of the records are collected from several sources: materials signaled by partners, scientific journals, proceedings and monographs, published and updated on the scientific communication platforms and on the profiles of the scholars involved in the Consortium or on the websites and repositories of their home institutions.
DOI: 10.6084/m9.figshare.30541211
title: DATA

description: Executives play a pivotal role in shaping a firm's environmental performance. Yet a<br>clear disconnect persists between merely holding green credentials and actually<br>directing green attention, along with strategic-manipulation risks entailed by executive<br>green attention, these issues remain and merit attention. This paper builds a unified,<br>multi-theoretical framework that fuses Upper-Echelons Theory with the Attention-Based<br>View, uses strategic-signaling theory to explain mechanisms, and invokes informal<br>institution theory to model boundary conditions. Drawing on a sample of Chinese A<br>share listed firms from 2016 to 2023, this paper applies machine-learning and textual<br>analysis techniques to construct a corporate environmental news sentiment indicator<br>and examines how executive green attention influences it. The results show that<br>executive green attention significantly inflates corporate environmental news sentiment<br>value. Mechanism tests reveal that this effect operates through managerial<br>manipulation of the corporate green image, specifically through expanding the green<br>patent bubble and increasing symbolic green innovation. Moderation analyses further<br>indicate that Confucian culture and long-term philanthropic giving, two informal<br>institutions, not only weaken the inflationary impact of executive green attention on<br>news sentiment but also attenuate the above strategic manipulation channels.<br>Additional analyses reveal that when Confucian culture and long-term philanthropic<br>giving are strong, executive green attention significantly lifts total-factor productivity<br>(TFP) and lowers financial risk (Z-score). This paper underscoring the pivotal role of ethics in shifting green practices from symbolism to substance.<br>
DOI: 10.6084/m9.figshare.30541211.v2
title: DATA

description: Executives play a pivotal role in shaping a firm's environmental performance. Yet a<br>clear disconnect persists between merely holding green credentials and actually<br>directing green attention, along with strategic-manipulation risks entailed by executive<br>green attention, these issues remain and merit attention. This paper builds a unified,<br>multi-theoretical framework that fuses Upper-Echelons Theory with the Attention-Based<br>View, uses strategic-signaling theory to explain mechanisms, and invokes informal<br>institution theory to model boundary conditions. Drawing on a sample of Chinese A<br>share listed firms from 2016 to 2023, this paper applies machine-learning and textual<br>analysis techniques to construct a corporate environmental news sentiment indicator<br>and examines how executive green attention influences it. The results show that<br>executive green attention significantly inflates corporate environmental news sentiment<br>value. Mechanism tests reveal that this effect operates through managerial<br>manipulation of the corporate green image, specifically through expanding the green<br>patent bubble and increasing symbolic green innovation. Moderation analyses further<br>indicate that Confucian culture and long-term philanthropic giving, two informal<br>institutions, not only weaken the inflationary impact of executive green attention on<br>news sentiment but also attenuate the above strategic manipulation channels.<br>Additional analyses reveal that when Confucian culture and long-term philanthropic<br>giving are strong, executive green attention significantly lifts total-factor productivity<br>(TFP) and lowers financial risk (Z-score). This paper underscoring the pivotal role of ethics in shifting green practices from symbolism to substance.<br>
DOI: 10.6084/m9.figshare.30541211.v1
title: DATAAN

description: Executives play a pivotal role in shaping a firm's environmental performance. Yet a<br>clear disconnect persists between merely holding green credentials and actually<br>directing green attention, along with strategic-manipulation risks entailed by executive<br>green attention, these issues remain and merit attention. This paper builds a unified,<br>multi-theoretical framework that fuses Upper-Echelons Theory with the Attention-Based<br>View, uses strategic-signaling theory to explain mechanisms, and invokes informal<br>institution theory to model boundary conditions. Drawing on a sample of Chinese A<br>share listed firms from 2016 to 2023, this paper applies machine-learning and textual<br>analysis techniques to construct a corporate environmental news sentiment indicator<br>and examines how executive green attention influences it. The results show that<br>executive green attention significantly inflates corporate environmental news sentiment<br>value. Mechanism tests reveal that this effect operates through managerial<br>manipulation of the corporate green image, specifically through expanding the green<br>patent bubble and increasing symbolic green innovation. Moderation analyses further<br>indicate that Confucian culture and long-term philanthropic giving, two informal<br>institutions, not only weaken the inflationary impact of executive green attention on<br>news sentiment but also attenuate the above strategic manipulation channels.<br>Additional analyses reveal that when Confucian culture and long-term philanthropic<br>giving are strong, executive green attention significantly lifts total-factor productivity<br>(TFP) and lowers financial risk (Z-score). This paper underscoring the pivotal role of ethics in shifting green practices from symbolism to substance.<br>
DOI: 10.6084/m9.figshare.27940086.v1
title: Raw Data "Reconciliation in captive Chapman´s zebras"

description: In several species, reconciliation, the peaceful reunion of former opponents after a conflict, serves as a mechanism to repair damaged relationships, reduce stress among the individuals involved and decrease the likelihood of a new aggression. The aim of our study was to investigate whether Chapman's zebras (<i>Equus burchelli chapmanni</i>) show reconciliation after intragroup aggressive events, and to identify the factors that facilitate this process. Behavioural observations on a group of Chapman's zebras at the Barcelona Zoo, Spain, allowed us to document all aggressive conflicts and affiliative post-conflict behaviours. In line with our predictions, we found that reconciliation was more likely when former opponents had a better relationship quality and when the victim showed self-directed behaviours after the conflict. However, the probability of reconciliation was not affected by the risk of renewed aggression after the conflict.
DOI: 10.15468/dl.j326hh
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is India",
 "TaxonKey is Isachne meeboldii"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017893-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5zj7g3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micconemertes orientalis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017891-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17532043
title: Supporting datasets and codes for manuscript "Contrasting GPP–SIF coupling patterns reveal functional divergence of grassland carbon sequestration on the Tibetan Plateau"

description: Supporting datasets and codes for manuscript “Contrasting GPP–SIF coupling patterns reveal functional divergence of grassland carbon sequestration on the Tibetan Plateau”----- GPP and SIF time series.zip # Resampled growing-season GPP (Gross Primary Productivity) and SIF (Solar-Induced Chlorophyll Fluorescence) time series for grasslands on the Tibetan Plateau (2000–2022)

----- EEMD_analysis_result.zip  # This dataset contains raster results derived from the EEMD (Ensemble Empirical Mode Decomposition) analysis of GPP and SIF time series over the Tibetan Plateau grasslands.

-----driving factors_GPP.csv  # This dataset contains raster turning-point data representing the types of GPP (Gross Primary Productivity) trend changes and their potential driving factors across the grasslands of the Tibetan Plateau.It provides spatial information on vegetation productivity trends, climate variability, topographic features, soil properties, and human activities.

----- driving factors_SIF.csv    #    This dataset contains raster turning-point data representing the types of SIF trend changes and their potential driving factors across the grasslands of the Tibetan Plateau.

# Codes for conducting analysis and generating plots-------EEMD_analysis1.R   # Codes for EEMD analysis and Figure 2,3,4.

-------Driving factors_analysis2.R   # Code for the driving mechanism analysis and Figures 5, 6, 7, and 8
DOI: 10.15468/dl.qu3t4g
title: Occurrence Download

description: A dataset containing 986 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-13.88329 28.74076,-13.86118 28.74076,-13.86118 28.74960,-13.88329 28.74960,-13.88329 28.74076))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 986 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017892-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17532042
title: Supporting datasets and codes for manuscript "Contrasting GPP–SIF coupling patterns reveal functional divergence of grassland carbon sequestration on the Tibetan Plateau"

description: Supporting datasets and codes for manuscript “Contrasting GPP–SIF coupling patterns reveal functional divergence of grassland carbon sequestration on the Tibetan Plateau”----- GPP and SIF time series.zip # Resampled growing-season GPP (Gross Primary Productivity) and SIF (Solar-Induced Chlorophyll Fluorescence) time series for grasslands on the Tibetan Plateau (2000–2022)

----- EEMD_analysis_result.zip  # This dataset contains raster results derived from the EEMD (Ensemble Empirical Mode Decomposition) analysis of GPP and SIF time series over the Tibetan Plateau grasslands.

-----driving factors_GPP.csv  # This dataset contains raster turning-point data representing the types of GPP (Gross Primary Productivity) trend changes and their potential driving factors across the grasslands of the Tibetan Plateau.It provides spatial information on vegetation productivity trends, climate variability, topographic features, soil properties, and human activities.

----- driving factors_SIF.csv    #    This dataset contains raster turning-point data representing the types of SIF trend changes and their potential driving factors across the grasslands of the Tibetan Plateau.

# Codes for conducting analysis and generating plots-------EEMD_analysis1.R   # Codes for EEMD analysis and Figure 2,3,4.

-------Driving factors_analysis2.R   # Code for the driving mechanism analysis and Figures 5, 6, 7, and 8
DOI: 10.15468/dl.mb29ex
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allocyttus guineensis"
 ]
}

 The dataset includes 16 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017894-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.