cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.pb8f6b
title: Occurrence Download

description: A dataset containing 4714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nyctalus leisleri (Kuhl, 1817)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 4714 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063913-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rx6jt5
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (Dominican Republic, Haiti)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pinus occidentalis Sw.",
 "Year 1980-2025"
 ]
}

 The dataset includes 67 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063914-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14212172
title: Seismic Reflection Data from the Kentland Impact Structure, Indiana from Robitaille MSc (2024)

description: This repository contains the correlated and stacked shot gathers and the final unmigrated and migrated files (all in SGY format) collected near the Kentland Crater Impact Structure.  These data are associated with the MSc thesis of Brian Robitaille at Purdue University (2024). See citation below.
DOI: 10.6084/m9.figshare.28184255.v1
title: Supplementary Material for: Effects of meditation and yoga on anxiety, depression and chronic inflammation in patients with Parkinson's disease: A randomised clinical trial

description: Introduction: Clinical guidelines recommend a holistic approach to Parkinson’s disease (PD) care, yet randomized trials examining mindfulness-based interventions are scarce. This study investigated effects of two mindfulness practices–meditation and yoga–on biopsychosocial outcomes in PD patients, including anxiety and depressive symptoms, compared to usual care.
Methods: 159 participants with a clinical diagnosis of idiopathic PD and a Hoehn and Yahr stage of 1, 2, and 3, were randomised into meditation(n=53), yoga(n=52), and control(n=54). Meditation and yoga were delivered in 90-minute groups for 8 weeks. Primary outcomes included anxiety and depressive symptoms. Secondary outcomes included motor and non-motor symptoms, HRQOL, mindfulness, and serum levels of interleukin-6, cortisol and TNF-alpha. Assessments were done at baseline(T0), 2 months(T1) and 6 months(T2). Linear mixed models were conducted following intention-to-treat principle. 
Results: Compared to control, meditation and yoga groups had significant improvements in anxiety symptoms (meditation: mean difference [MD]=−1.36, 95%CI−2.46 to−0.26; yoga: MD=−1.61, CI−2.70 to −0.52), motor symptoms (meditation: MD=−5.35, CI−8.61 to−2.09; yoga: MD=−6.59, CI−9.82 to−3.36), HRQOL (meditation: MD=−2.01, CI−3.41 to−0.62; yoga: MD=−1.45, CI−2.83 to−0.08), and describing skills (meditation: MD=0.97, CI 0.04 to 1.89; yoga: MD=0.92, CI 0.01–1.84) at T1, and significant reductions in serum interleukin-6 levels(meditation: MD=−1.14, CI−2.18 to−0.10; yoga: MD=−1.11, CI −2.09 to−0.13) at T2. Only meditation significantly reduced depression (MD=−1.44, CI−2.57 to−0.30) at T1 and sustained motor and HRQOL improvements at T2. 
Conclusion: Meditation and yoga significantly improved anxiety symptoms, chronic inflammation, motor symptoms, mindfulness-describing facet and HRQOL in PD patients. Meditation provided additional benefits in reducing depressive symptoms and sustaining motor and HRQOL improvements.
DOI: 10.15468/dl.uy6enp
title: Occurrence Download

description: A dataset containing 1964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tadarida teniotis (Rafinesque, 1814)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 1964 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063915-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvbq25
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Aedes hirsutus (Theobald, 1901)"
 ]
}

 The dataset includes 115 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063916-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4qnh5v
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "InstitutionKey is 773a0d99-3ea8-4a8b-9191-accbdb47b4d3",
 "TaxonKey is one of (Raja Linnaeus, 1758)"
 ]
}

 The dataset includes 162 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063918-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xjmag
title: Occurrence Download

description: A dataset containing 14289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepus timidus Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 14289 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063917-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p9d5y3
title: Occurrence Download

description: A dataset containing 17303 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de Aves del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-A)"
 ]
}

 The dataset includes 17303 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063920-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vskcqj
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "InstitutionKey is 773a0d99-3ea8-4a8b-9191-accbdb47b4d3",
 "TaxonKey is one of (Raja Linnaeus, 1758)"
 ]
}

 The dataset includes 162 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063923-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvbpah
title: Occurrence Download

description: A dataset containing 15674 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Muscardinus avellanarius (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 15674 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063922-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.5782904
title: NGFS Climate Scenarios Data Set

description: <strong>Download information</strong> The data is available for download at the NGFS Scenario Explorer. The license permits use of the scenario ensemble for scientific research and commercial use, but restricts redistribution of substantial parts of the data. Please refer to the FAQ and legal code for more information. <strong>Version 1.0 (24 June 2020)</strong> Original Phase 1 release data of climate scenarios for the NGFS. This dataset contains a mapping of existing IAM scenarios to the scenario quadrants of the NGFS. <strong>About the data set</strong> This dataset contains a set of climate scenario that have been developed for the Network for Greening the Financial System (NGFS). The NGFS is a group of 83 central banks and supervisors and 12 observers committed to sharing best practices, contributing to the development of climate– and environment–related risk management in the financial sector and mobilising mainstream finance to support the transition toward a sustainable economy. The scenarios in this dataset were produced by NGFS Workstream 2 in partnership with an academic consortium from the Potsdam Institute for Climate Impact Research (PIK), International Institute for Applied Systems Analysis (IIASA), University of Maryland (UMD), Climate Analytics (CA), the Eidgenössische Technische Hochschule Zürich (ETH) and the National Institute of Economic and Social Research (NIESR). The Phase 2 bespoke scenarios are generated by state-of-the-art well-established integrated assessment models (IAMs), namely GCAM, MESSAGEix-GLOBIOM and REMIND-MAgPIE. These models allow the estimation of global and regional mitigation costs, the analysis of energy system transition characteristics, the quantification of investments required to transform the energy system, and the identification of synergies and trade-off of sustainable development pathways. Technical documentation is available to help users access the datasets. The documentation describes the models and variables, as well as provides detailed guidance for database users. Scenario presentation materials and the user guide are also available at the NGFS portal.
description: This work was made possible by grants from Bloomberg Philanthropies and ClimateWorks Foundation.
DOI: 10.5281/zenodo.5793153
title: NGFS Climate Scenarios Data Set

description: <strong>Download information</strong> The data is available for download at the NGFS Scenario Explorer. The license permits use of the scenario ensemble for scientific research and commercial use, but restricts redistribution of substantial parts of the data. Please refer to the FAQ and legal code for more information. <strong>Version 2.0 (8 June 2021)</strong> Phase 2 release data of bespoke scenarios for the NGFS. <strong>About the data set</strong> This dataset contains a set of climate scenario that have been developed for the Network for Greening the Financial System (NGFS). The NGFS is a group of 83 central banks and supervisors and 12 observers committed to sharing best practices, contributing to the development of climate– and environment–related risk management in the financial sector and mobilising mainstream finance to support the transition toward a sustainable economy. The scenarios in this dataset were produced by NGFS Workstream 2 in partnership with an academic consortium from the Potsdam Institute for Climate Impact Research (PIK), International Institute for Applied Systems Analysis (IIASA), University of Maryland (UMD), Climate Analytics (CA), the Eidgenössische Technische Hochschule Zürich (ETH) and the National Institute of Economic and Social Research (NIESR). The Phase 2 bespoke scenarios are generated by state-of-the-art well-established integrated assessment models (IAMs), namely GCAM, MESSAGEix-GLOBIOM and REMIND-MAgPIE. These models allow the estimation of global and regional mitigation costs, the analysis of energy system transition characteristics, the quantification of investments required to transform the energy system, and the identification of synergies and trade-off of sustainable development pathways. Technical documentation is available to help users access the datasets. The documentation describes the models and variables, as well as provides detailed guidance for database users. Scenario presentation materials and the user guide are also available at the NGFS portal.
description: This work was made possible by grants from Bloomberg Philanthropies and ClimateWorks Foundation.
DOI: 10.5281/zenodo.5796190
title: NGFS Climate Scenarios Data Set

description: <strong>Download information</strong> The data is available for download at the NGFS Scenario Explorer. The license permits use of the scenario ensemble for scientific research and commercial use, but restricts redistribution of substantial parts of the data. Please refer to the FAQ and legal code for more information. <strong>Version 2.1 (9 June 2021)</strong> Added several missing variables for the GCAM5.3_NGFS and REMIND-MAgPIE 2.1-4.2 models, for all scenarios. Added the missing MAGICC Climate Variables for the GCAM5.3_NGFS model for all scenarios. <strong>About the data set</strong> This dataset contains a set of climate scenario that have been developed for the Network for Greening the Financial System (NGFS). The NGFS is a group of 83 central banks and supervisors and 12 observers committed to sharing best practices, contributing to the development of climate– and environment–related risk management in the financial sector and mobilising mainstream finance to support the transition toward a sustainable economy. The scenarios in this dataset were produced by NGFS Workstream 2 in partnership with an academic consortium from the Potsdam Institute for Climate Impact Research (PIK), International Institute for Applied Systems Analysis (IIASA), University of Maryland (UMD), Climate Analytics (CA), the Eidgenössische Technische Hochschule Zürich (ETH) and the National Institute of Economic and Social Research (NIESR). The Phase 2 bespoke scenarios are generated by state-of-the-art well-established integrated assessment models (IAMs), namely GCAM, MESSAGEix-GLOBIOM and REMIND-MAgPIE. These models allow the estimation of global and regional mitigation costs, the analysis of energy system transition characteristics, the quantification of investments required to transform the energy system, and the identification of synergies and trade-off of sustainable development pathways. Technical documentation is available to help users access the datasets. The documentation describes the models and variables, as well as provides detailed guidance for database users. Scenario presentation materials and the user guide are also available at the NGFS portal.
description: This work was made possible by grants from Bloomberg Philanthropies and ClimateWorks Foundation.
DOI: 10.5281/zenodo.5796202
title: NGFS Climate Scenarios Data Set

description: <strong>Download information</strong> The data is available for download at the NGFS Scenario Explorer. The license permits use of the scenario ensemble for scientific research and commercial use, but restricts redistribution of substantial parts of the data. Please refer to the FAQ and legal code for more information. <strong>Version 2.2 (28 June 2021)</strong> Correction of Emission and Carbon Price variables at the native region level for the REMIND-MAgPIE 2.1-4.2 model, Net Zero 2050 scenario (see detailed list at the bottom of this message). Correction of historic (pre-2020) global level carbon prices for the REMIND-MAgPIE 2.1-4.2 model in Divergent Net Zero Scenario In the downloadable file names for Downscaled Data, Climate Damages and NIGEM outputs, space characters have been replaced with underscores. Because the url's for these files refer to the file names, the old links for these files no longer work and unregistered users should request new download link. Solved an issue of incorrect displaying of region names for the "REMIND-MAgPIE 2.1-4.2 IntegratedPhysicalDamages (median/95th)" models in the Scenario Explorer. <strong>About the data set</strong> This dataset contains a set of climate scenario that have been developed for the Network for Greening the Financial System (NGFS). The NGFS is a group of 83 central banks and supervisors and 12 observers committed to sharing best practices, contributing to the development of climate– and environment–related risk management in the financial sector and mobilising mainstream finance to support the transition toward a sustainable economy. The scenarios in this dataset were produced by NGFS Workstream 2 in partnership with an academic consortium from the Potsdam Institute for Climate Impact Research (PIK), International Institute for Applied Systems Analysis (IIASA), University of Maryland (UMD), Climate Analytics (CA), the Eidgenössische Technische Hochschule Zürich (ETH) and the National Institute of Economic and Social Research (NIESR). The Phase 2 bespoke scenarios are generated by state-of-the-art well-established integrated assessment models (IAMs), namely GCAM, MESSAGEix-GLOBIOM and REMIND-MAgPIE. These models allow the estimation of global and regional mitigation costs, the analysis of energy system transition characteristics, the quantification of investments required to transform the energy system, and the identification of synergies and trade-off of sustainable development pathways. Technical documentation is available to help users access the datasets. The documentation describes the models and variables, as well as provides detailed guidance for database users. Scenario presentation materials and the user guide are also available at the NGFS portal.
description: This work was made possible by grants from Bloomberg Philanthropies and ClimateWorks Foundation.
DOI: 10.5281/zenodo.7085661
title: NGFS Climate Scenarios Data Set

description: Download information
Please do not request a data download here.
Rather, the data is available for download at the NGFS Scenario Explorer under this download link: https://data.ece.iiasa.ac.at/ngfs-phase-3/#/downloads.
The license permits use of the scenario ensemble for scientific research and commercial use, but restricts redistribution of substantial parts of the data. Please refer to the FAQ and legal code for more information.
3.0 (6 September 2022)

Original Phase 3 release
Contains three csv files for:

Integrated assessment model data
Downscaled country-level data
NiGEM data
About the data set
This dataset contains a set of climate scenario that have been developed for the Network for Greening the Financial System (NGFS). The NGFS is a group of 83 central banks and supervisors and 12 observers committed to sharing best practices, contributing to the development of climate– and environment–related risk management in the financial sector and mobilising mainstream finance to support the transition toward a sustainable economy.
The scenarios in this dataset were produced by NGFS Workstream 3 in partnership with an academic consortium from the Potsdam Institute for Climate Impact Research (PIK), International Institute for Applied Systems Analysis (IIASA), University of Maryland (UMD), Climate Analytics (CA), the Eidgenössische Technische Hochschule Zürich (ETH) and the National Institute of Economic and Social Research (NIESR).
The Phase 3 bespoke scenarios are generated by state-of-the-art well-established integrated assessment models (IAMs), namely GCAM, MESSAGEix-GLOBIOM and REMIND-MAgPIE. These models allow the estimation of global and regional mitigation costs, the analysis of energy system transition characteristics, the quantification of investments required to transform the energy system, and the identification of synergies and trade-off of sustainable development pathways.
Technical documentation is available to help users access the datasets. The documentation describes the models and variables, as well as provides detailed guidance for database users. Scenario presentation materials and the user guide are also available at the NGFS portal.
description: This work was made possible by grants from Bloomberg Philanthropies and ClimateWorks Foundation.
DOI: 10.5281/zenodo.7085758
title: NGFS Climate Scenarios Data Set

description: Download information
Please do not request a data download here.
Rather, the data is available for download at the NGFS Scenario Explorer under this download link: https://data.ece.iiasa.ac.at/ngfs-phase-3/#/downloads.
The license permits use of the scenario ensemble for scientific research and commercial use, but restricts redistribution of substantial parts of the data. Please refer to the FAQ and legal code for more information.
3.1 (7 September 2022)

Identical to 3.0 except in xlsx format
About the data set
This dataset contains a set of climate scenario that have been developed for the Network for Greening the Financial System (NGFS). The NGFS is a group of 83 central banks and supervisors and 12 observers committed to sharing best practices, contributing to the development of climate– and environment–related risk management in the financial sector and mobilising mainstream finance to support the transition toward a sustainable economy.
The scenarios in this dataset were produced by NGFS Workstream 3 in partnership with an academic consortium from the Potsdam Institute for Climate Impact Research (PIK), International Institute for Applied Systems Analysis (IIASA), University of Maryland (UMD), Climate Analytics (CA), the Eidgenössische Technische Hochschule Zürich (ETH) and the National Institute of Economic and Social Research (NIESR).
The Phase 3 bespoke scenarios are generated by state-of-the-art well-established integrated assessment models (IAMs), namely GCAM, MESSAGEix-GLOBIOM and REMIND-MAgPIE. These models allow the estimation of global and regional mitigation costs, the analysis of energy system transition characteristics, the quantification of investments required to transform the energy system, and the identification of synergies and trade-off of sustainable development pathways.
Technical documentation is available to help users access the datasets. The documentation describes the models and variables, as well as provides detailed guidance for database users. Scenario presentation materials and the user guide are also available at the NGFS portal.
description: This work was made possible by grants from Bloomberg Philanthropies and ClimateWorks Foundation.