cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21676650
title: Investor-state dispute settlement: obstructing a just energy transition

description: Governments that revoke licenses and permits or take other measures to restrict the development of oil and gas in their territory will face claims from investors for compensation. When investors are foreign, they can seek compensation for ‘lost future profits’ in investor-state dispute settlement (ISDS), even if they had not commenced production. ISDS cases are likely to obstruct a just transition by chilling supply-side climate measures and diverting public funds away from climate change mitigation and adaptation efforts. Using a dataset of ISDS-protected assets in the upstream oil and gas sector, we demonstrate that the global distribution of legal and financial risks is highly unjust. More than two thirds of the net-present value of 1.5°C-incompatible and treaty-protected oil and gas assets are found in low- and middle-income countries, including those highly vulnerable to climate change. The Energy Charter Treaty (ECT) is the most significant single treaty obstructing the transition. While protection of fossil fuels in some countries may soon be phased-out of this treaty, the protection of the assets identified in our study will remain for at least ten more years. To limit ISDS risk, states should: (1) immediately cease the issuance of new permits/leases for oil and gas developments; (2) terminate investment treaties (including the ECT) and (3) develop binding rules that cap the amount of compensation that can be awarded to investors. Oil and gas investors protected by investment treaties can claim compensation for ‘lost future profits’ in investor-state dispute settlement (ISDS) when governments impose limits on production (supply-side climate policy).ISDS claims could absorb a significant amount of public finance that is needed for climate mitigation and adaptation, particularly in the Global South.The Energy Charter Treaty (ECT) protects more upstream oil and gas assets than any other single treaty and is already being used to challenge climate action; recent efforts to modernize the treaty are insufficient.To limit the risk of ISDS claims, states should stop issuing permits for new oil and gas projects, terminate investment treaties and develop rules to cap the amount of compensation that can be awarded to investors. Oil and gas investors protected by investment treaties can claim compensation for ‘lost future profits’ in investor-state dispute settlement (ISDS) when governments impose limits on production (supply-side climate policy). ISDS claims could absorb a significant amount of public finance that is needed for climate mitigation and adaptation, particularly in the Global South. The Energy Charter Treaty (ECT) protects more upstream oil and gas assets than any other single treaty and is already being used to challenge climate action; recent efforts to modernize the treaty are insufficient. To limit the risk of ISDS claims, states should stop issuing permits for new oil and gas projects, terminate investment treaties and develop rules to cap the amount of compensation that can be awarded to investors.
DOI: 10.6084/m9.figshare.21676650.v1
title: Investor-state dispute settlement: obstructing a just energy transition

description: Governments that revoke licenses and permits or take other measures to restrict the development of oil and gas in their territory will face claims from investors for compensation. When investors are foreign, they can seek compensation for ‘lost future profits’ in investor-state dispute settlement (ISDS), even if they had not commenced production. ISDS cases are likely to obstruct a just transition by chilling supply-side climate measures and diverting public funds away from climate change mitigation and adaptation efforts. Using a dataset of ISDS-protected assets in the upstream oil and gas sector, we demonstrate that the global distribution of legal and financial risks is highly unjust. More than two thirds of the net-present value of 1.5°C-incompatible and treaty-protected oil and gas assets are found in low- and middle-income countries, including those highly vulnerable to climate change. The Energy Charter Treaty (ECT) is the most significant single treaty obstructing the transition. While protection of fossil fuels in some countries may soon be phased-out of this treaty, the protection of the assets identified in our study will remain for at least ten more years. To limit ISDS risk, states should: (1) immediately cease the issuance of new permits/leases for oil and gas developments; (2) terminate investment treaties (including the ECT) and (3) develop binding rules that cap the amount of compensation that can be awarded to investors. Oil and gas investors protected by investment treaties can claim compensation for ‘lost future profits’ in investor-state dispute settlement (ISDS) when governments impose limits on production (supply-side climate policy).ISDS claims could absorb a significant amount of public finance that is needed for climate mitigation and adaptation, particularly in the Global South.The Energy Charter Treaty (ECT) protects more upstream oil and gas assets than any other single treaty and is already being used to challenge climate action; recent efforts to modernize the treaty are insufficient.To limit the risk of ISDS claims, states should stop issuing permits for new oil and gas projects, terminate investment treaties and develop rules to cap the amount of compensation that can be awarded to investors. Oil and gas investors protected by investment treaties can claim compensation for ‘lost future profits’ in investor-state dispute settlement (ISDS) when governments impose limits on production (supply-side climate policy). ISDS claims could absorb a significant amount of public finance that is needed for climate mitigation and adaptation, particularly in the Global South. The Energy Charter Treaty (ECT) protects more upstream oil and gas assets than any other single treaty and is already being used to challenge climate action; recent efforts to modernize the treaty are insufficient. To limit the risk of ISDS claims, states should stop issuing permits for new oil and gas projects, terminate investment treaties and develop rules to cap the amount of compensation that can be awarded to investors.
DOI: 10.6084/m9.figshare.24551158
title: Table S3

description: <b>Table S</b><b>3</b><b>. </b>The 16S rRNA distance matrix of the <i>Laspinema</i> sequences. The values represent p-values inferred by MEGA X.
DOI: 10.6084/m9.figshare.24551158.v2
title: Table S3

description: <b>Table S</b><b>3</b><b>. </b>The 16S rRNA distance matrix of the <i>Laspinema</i> sequences. The values represent p-values inferred by MEGA X.
DOI: 10.6084/m9.figshare.24551158.v1
title: Table S3

description: <b>Table S</b><b>3</b><b>. </b>The 16S rRNA distance matrix of the <i>Laspinema</i> sequences. The values represent p-values inferred by MEGA X.
DOI: 10.23729/0100cfe8-3264-4bd9-b1cd-937c1880cdc2
title: BS3D: Building-scale 3D Reconstruction from RGB-D Images

description: The BS3D dataset was collected at the University of Oulu campus using a depth camera (Azure Kinect). The recordings were processed using the framework described in the paper "BS3D: Building-scale 3D Reconstruction from RGB-D Images", SCIA 2023. The data collection was done in multiple sessions due to the large scale of the environment. The dataset consists of 47 sessions and 15 additional sessions with 3D laser scans (FARO 3D X 130). The dataset includes the original recordings (MKV files), color images, depth maps, infrared images, and inertial measurements. It also includes camera poses, surface reconstructions (mesh), enhanced depth maps, and normal maps that have been rendered from the mesh. Laser scans (point clouds) are also included that cover a subset of the environment.
DOI: 10.34740/kaggle/ds/2772182
title: Pakistani Dishes Dataset
DOI: 10.5281/zenodo.10046608
title: Zero-degree isotherm latitude (ZIL) position over Antarctica: Historical and Projections

description: This is the dataset associated to the research 'Southward migration of the zero-degree isotherm latitude over the Southern Ocean and the Antarctic Peninsula: extent and implications' published in Science of the Total Environment.
This repository contains:

ZIL_1957-2020_position.zip: Historical position of the ZIL for every longitude point in ERA5 from 1957 to 2020 for different seasons. Files named:

ZIL_1957-2020_[season].csv

Dimensions: [years, lons]
Units: degrees latitude
ZIL_1957-2020_timeseries.zip: Historical spatially averaged position of the ZIL for Antartica (Ant) and the Antarctic Peninsula (AP) in ERA5 from 1957 to 2020 for different seasons. Files named:

ZIL_1957-2020_[season]_[Ant/AP]_timeseries.csv

Dimensions: [years]
Units: degrees latitude
ZIL_1957-2020_meanposition.zip: Historical temporally averaged position of the ZIL in ERA5 from 1957 to 2020 for different seasons and months. Files named:

ZIL_1957-2020_[season/month]_mean.csv

Dimensions: [lons]
Units: degrees latitude
ZIL_CEMIP6_Historical.zip: Mean position and trends of the ZIL for every longitude point in Historical simulations of CEMIP6 from 1957 to 2014 for different seasons. Files named:

ZIL_CEMIP6_Hist_[season]_mean.csv

Dimensions: [models, lons]
Units: degrees latitude
ZIL_CEMIP6_Hist_[season]_trend.csv

Dimensions: [models, lons]
Units: degrees latitude per year
ZIL_CEMIP6_SSP2-45.zip: Mean position of the ZIL for every longitude point under the SSP2-4.5 scenario in CEMIP6 for the period 2040-69 and 2070-90 and trends for the period 2015-99 for different seasons. Files named:

ZIL_CEMIP6_SSP2-45_2040-69_[season]_mean.csv

Dimensions: [models, lons]
Units: degrees latitude
ZIL_CEMIP6_SSP2-45_2070-99_[season]_mean.csv

Dimensions: [models, lons]
Units: degrees latitude
ZIL_CEMIP6_SSP2-45_[season]_trend.csv

Dimensions: [models, lons]
Units: degrees latitude per year
ZIL_CEMIP6_SSP5-85.zip: Mean position of the ZIL for every longitude point under the SSP5-8.5 scenario in CEMIP6 for the period 2040-69 and 2070-90 and trends for the period 2015-99 for different seasons. Files named:

ZIL_CEMIP6_SSP5-85_2040-69_[season]_mean.csv

Dimensions: [models, lons]
Units: degrees latitude
ZIL_CEMIP6_SSP5-85_2070-99_[season]_mean.csv

Dimensions: [models, lons]
Units: degrees latitude
ZIL_CEMIP6_SSP5-85_[season]_trend.csv

Dimensions: [models, lons]
Units: degrees latitude per year
seasons are:

ANN: Annual mean
DJF: December-January-February (Summer)
MAM: March-April-May (Autumn)
JJA: June-July-August (Winter)
SON: September-October-November (Spring)
 
Version control
v1.0 - Initial versionv1.1 - Change ERA5 dataset calculations from preliminary version of ERA5 to final version of ERA5
 
How to cite
If you use this dataset, please cite the accompanying paper as:
 
Complementary code
You can find the jupyter notebooks to complement the research in: https://doi.org/10.1002/joc.8020
 
Contact
If you have any question, please contact with Sergi at sergi.gonzalez@slf.ch
DOI: 10.5281/zenodo.10223493
title: Zero-degree isotherm latitude (ZIL) position over Antarctica: Historical and Projections

description: This is the dataset associated to the research 'Southward migration of the zero-degree isotherm latitude over the Southern Ocean and the Antarctic Peninsula: extent and implications' published in Science of the Total Environment.
This repository contains:

ZIL_ERA5_1957-2020_position.zip: Historical position of the ZIL for every longitude point in ERA5 from 1957 to 2020 for different seasons. Files named:

ZIL_ERA5_1957-2020[season]position.csv

Dimensions: [lons, years]
Units: degrees latitude
ZIL_ERA5_1957-2020_timeseries.csv: Historical spatially averaged position of the ZIL for Antartica (Ant) and the Antarctic Peninsula (AP) in ERA5 from 1957 to 2020 for different seasons. File named:

ZIL_ERA5_1957-2020_timeseries.csv

Dimensions: [years, season_area]
Units: degrees latitude
ZIL_ERA5_1957-2020_meanposition.csv: Historical temporally averaged position of the ZIL in ERA5 from 1957 to 2020 for different seasons and months. File named:

ZIL_ERA5_1957-2020_meanposition.csv

Dimensions: [lons, season/month]
Units: degrees latitude
ZIL_CEMIP6_Historical_position.zip: Mean position of the ZIL for every longitude point in Historical simulations of CEMIP6 from 1957 to 2014 for different seasons. Files named:

ZIL_CEMIP6_Hist_[season]_position.csv

Dimensions: [lons, models]
Units: degrees latitude
ZIL_CEMIP6_SSP2-45.zip: Mean position of the ZIL for every longitude point under the SSP2-4.5 scenario in CEMIP6 for the period 2040-69 and 2070-90 for different seasons. Files named:

ZIL_CEMIP6_SSP2-45_2040-69_[season]_position.csv

Dimensions: [lons, models]
Units: degrees latitude
ZIL_CEMIP6_SSP2-45_2070-99_[season]_position.csv

Dimensions: [lons, models]
Units: degrees latitude
ZIL_CEMIP6_SSP5-85.zip: Mean position of the ZIL for every longitude point under the SSP5-8.5 scenario in CEMIP6 for the period 2040-69 and 2070-90 and trends for the period 2015-99 for different seasons. Files named:

ZIL_CEMIP6_SSP5-85_2040-69_[season]_position.csv

Dimensions: [lons, models]
Units: degrees latitude
ZIL_CEMIP6_SSP5-85_2070-99_[season]_position.csv

Dimensions: [lons, models]
Units: degrees latitude
seasons are:

ANN: Annual mean
DJF: December-January-February (Summer)
MAM: March-April-May (Autumn)
JJA: June-July-August (Winter)
SON: September-October-November (Spring)
areas are:

Ant: All Antarctica
AP: Antarctic Peninsula
Note: CEMIPT6 models include a column with CEMIP6 model average
Version control
v1.0 - Initial versionv1.1 - Change ERA5 dataset calculations from preliminary version of ERA5 to final version of ERA5
 
How to cite
If you use this dataset, please cite the accompanying paper as:
 
Complementary code
You can find the jupyter notebooks to complement the research in: https://doi.org/10.5281/zenodo.10063849
 
Contact
If you have any question, please contact with Sergi at sergi.gonzalez@slf.ch
DOI: 10.5281/zenodo.8211110
title: Zero-degree isotherm latitude (ZIL) position over Antarctica: Historical and Projections

description: This is the dataset associated to the research 'Southward migration of the zero-degree isotherm latitude over the Southern Ocean and the Antarctic Peninsula: extent and implications' published in Science of the Total Environment.
This repository contains:

ZIL_ERA5_1957-2020_position.zip: Historical position of the ZIL for every longitude point in ERA5 from 1957 to 2020 for different seasons. Files named:

ZIL_ERA5_1957-2020[season]position.csv

Dimensions: [lons, years]
Units: degrees latitude
ZIL_ERA5_1957-2020_timeseries.csv: Historical spatially averaged position of the ZIL for Antartica (Ant) and the Antarctic Peninsula (AP) in ERA5 from 1957 to 2020 for different seasons. File named:

ZIL_ERA5_1957-2020_timeseries.csv

Dimensions: [years, season_area]
Units: degrees latitude
ZIL_ERA5_1957-2020_meanposition.csv: Historical temporally averaged position of the ZIL in ERA5 from 1957 to 2020 for different seasons and months. File named:

ZIL_ERA5_1957-2020_meanposition.csv

Dimensions: [lons, season/month]
Units: degrees latitude
ZIL_CEMIP6_Historical_position.zip: Mean position of the ZIL for every longitude point in Historical simulations of CEMIP6 from 1957 to 2014 for different seasons. Files named:

ZIL_CEMIP6_Hist_[season]_position.csv

Dimensions: [lons, models]
Units: degrees latitude
ZIL_CEMIP6_SSP2-45.zip: Mean position of the ZIL for every longitude point under the SSP2-4.5 scenario in CEMIP6 for the period 2040-69 and 2070-90 for different seasons. Files named:

ZIL_CEMIP6_SSP2-45_2040-69_[season]_position.csv

Dimensions: [lons, models]
Units: degrees latitude
ZIL_CEMIP6_SSP2-45_2070-99_[season]_position.csv

Dimensions: [lons, models]
Units: degrees latitude
ZIL_CEMIP6_SSP5-85.zip: Mean position of the ZIL for every longitude point under the SSP5-8.5 scenario in CEMIP6 for the period 2040-69 and 2070-90 and trends for the period 2015-99 for different seasons. Files named:

ZIL_CEMIP6_SSP5-85_2040-69_[season]_position.csv

Dimensions: [lons, models]
Units: degrees latitude
ZIL_CEMIP6_SSP5-85_2070-99_[season]_position.csv

Dimensions: [lons, models]
Units: degrees latitude
seasons are:

ANN: Annual mean
DJF: December-January-February (Summer)
MAM: March-April-May (Autumn)
JJA: June-July-August (Winter)
SON: September-October-November (Spring)
areas are:

Ant: All Antarctica
AP: Antarctic Peninsula
Note: CEMIPT6 models include a column with CEMIP6 model average
Version control
v1.0 - Initial versionv1.1 - Change ERA5 dataset calculations from preliminary version of ERA5 to final version of ERA5
 
How to cite
If you use this dataset, please cite the accompanying paper as:
 
Complementary code
You can find the jupyter notebooks to complement the research in: https://doi.org/10.5281/zenodo.10063849
 
Contact
If you have any question, please contact with Sergi at sergi.gonzalez@slf.ch
DOI: 10.5281/zenodo.10224699
title: High Glucose Regulates the Cellular Dysfunction of Human Trophoblast HTR8/SVneo Cells by Downregulating GABRP Expression
DOI: 10.5281/zenodo.10224700
title: High Glucose Regulates the Cellular Dysfunction of Human Trophoblast HTR8/SVneo Cells by Downregulating GABRP Expression
DOI: 10.34740/kaggle/dsv/7088971
title: AutoXGB
DOI: 10.34740/kaggle/dsv/7088972
title: OnlineFree
DOI: 10.25532/opara-51
title: Data on soil properties, belonging to the manuscript "Prokaryotic community composition and extracellular polymeric substances affect soil microaggregation in carbonate containing semiarid grasslands"

description: Dataset of the obtained results per individual soil sample, excluding the prokaryotic part, as well as the dataset used for the structural equation modelling. Dataset belongs to manuscript "Prokaryotic community composition and extracellular polymeric substances affect soil microaggregation in carbonate containing semiarid grasslands", submitted to Frontiers in Environmental Science - Soil processes.
DOI: 10.12686/a14
title: Mars Seismic Catalogue, InSight Mission; V9 2022-01-01

description: The NASA InSight mission installed a single seismic station on the surface of Mars in 2019. The Marsquake Service (MQS) is an official service of the InSight ground services. MQS is tasked with detecting and characterising marsquakes, and curating the catalogue. Waveform data is publicly released on a 3 month schedule. Starting on 2 January, 2020, an updated MQS catalogue is released with each new waveform dataset. This is Data Release 9.
DOI: 10.5281/zenodo.8234451
title: Joint Inversion of Receiver Functions and Apparent Shear Wave Velocity for Martian Crustal Model

description: Data and Codes of the joint inversion of receiver functions and apparent shear wave velocity for martian crustal model.
DOI: 10.5063/f1fb51dm
title: UAV VSWIR and thermal infrared imagery for a grassland eddy covariance site at the Dangermond Preserve, CA, USA, 2021–2022.

description: This dataset contains very-high resolution, 6-band visible, near-infrared, and thermal infrared imagery obtained from an unmanned aerial vehicle (UAV) platform in 2021 and 2022 at the eddy covariance site in Ramajal Field at the Dangermond Preserve. These data were collected in order to estimate evapotranspiration from the thermal imagery and a suite of environmental sensors mounted on the UAV.
DOI: 10.17632/gzmnvgjfhk.1
title: MCMC samples of posterior distributions of hierarchical Bayesian model

description: This is a dataset of MCMC samples of posterior distributions of parameters of a hierachical Bayesian model developed to quantify the fracture limit uncertainty of high-burnup advanced fuel cladding tubes under loss-of-coolant accident conditions.
Posterior predictive distributions of the fracture limit of high-burnup advanced fuel cladding tubes can be calculated using this dataset.
DOI: 10.18462/iir.icr.2019.0250
title: Development of multi-criteria analysis approach considering food quality and energy consumption: application to production process of puff pastry.
DOI: 10.21233/pc2e-4j35
title: Susie's Lake pollen dataset

description: Raw data for the Susie's Lake pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.13020/9hs4-t089
title: Data for fire regime shapes butterfly communities through changes in nectar resources in an Australian tropical savanna, 2019-2020

description: We studied responses of butterflies, vegetation structure, and floral resources to fire regime at a long-term fire experiment near Darwin in the Australian tropical savanna. This dataset consists of data collected during the 2019/2020 wet season at 18 1-ha plots in three blocks, where each block contains six randomly assigned fire treatments. We measured butterfly, vegetation structure, and floral resources data, and collected fire regime data. These data are associated with Leone et al. (2023). Fire regime shapes butterfly communities through changes in nectar resources in an Australian tropical savanna. Ecosphere. Along with its associated paper, we hope these data will provide helpful information for those working in fire management, butterfly conservation, and biodiversity conservation more broadly.
DOI: 10.17632/m4d8jh9j56.1
title: Google Trends water related data 2017-2021

description: Google Trends water related data 2017-2021
DOI: 10.21233/7f1c-a318
title: Rees Lake pollen dataset

description: Raw data for the Rees Lake pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/j4da-ff59
title: Chase Lake pollen dataset

description: Raw data for the Chase Lake pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5281/zenodo.5045448
title: Evaluation notebook and files for FAIR Workbench user evaluation

description: This archive contains the Jupyter notebook and associated (image) files used in the June 2021 evaluation of the FAIR Workbench.
DOI: 10.5281/zenodo.5045675
title: Questionnaire used in FAIR Workbench user evaluation

description: A pdf copy of the Questionnaire filled out by users at the end of the FAIR Workbench user evaluation study. The questions regarded the evaluation notebook, published here: http://doi.org/10.5281/zenodo.5045448