cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8347412
title: Extreme Temeperature Datasets Utilized in the Multivariate Logarithmic Modeling of Grain Production in the Yangtze River Basin

description: Data: gridded to a spatial resolution of 0.5deg *0.5deg, <strong>coldwave_frequencies.nc</strong> and <strong>hwcase19802022.nc</strong> contain historical annual terrestral coldwave/heatwave respectively in the timeframe 1980~2022 derived from CPC global unified temperature dataset provided by NOAA PSL. <strong>ssp_ete.zip</strong> is a compiled set of future coldwave and heatwave frequencies derived from CMIP6 datasets MIROC6 and BCC_CSM2_MR. Said zip archive is utilized for near-future per-hectare grain yield prediction in the original paper. Methods: the 90th percentile of the daily Tmax 1981-2010 climatology distribution defines the minimum heatwave-qualifying temperature of a specific location, and a day will be labeled as 'heatwave day' when daily Tmax exceeds the threshold over at least three consecutive days. Coldwave is determined following similar principles: an event of coldwave contains more than 3 consecutive cold days with Tmin lower than the 10th percentile of the daily Tmin 1981-2010 climatology distribution. <strong>cwave.py</strong> is an implementation of this method in the determination of heatwaves and coldwaves from SSP experiment datasets.
DOI: 10.26093/cds/vizier.18590052
title: NGFS. III. Dwarf galaxies in outer regions

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'The Next Generation Fornax Survey (NGFS). III. Revealing the spatial substructure of the dwarf galaxy population inside half of Fornax's virial radius.' (bibcode: 2018ApJ...859...52O)
DOI: 10.5281/zenodo.8318173
title: Data of the paper No City Left Behind: Building Climate Policy Bridges between the North and South

description: Cities are progressively heightening their climate aspirations to curtail urban carbon emis- sions and establish a future where economies and communities can flourish within the Earth’s eco- logical limits. Consequently, numerous climate initiatives are being launched to control urban car- bon emissions, targeting various sectors, including transport, residential, agricultural, and energy. However, recent scientific literature underscores the disproportionate distribution of climate poli- cies. While cities in the Global North have witnessed several initiatives to combat climate change, cities in the Global South remain uncovered and highly vulnerable to climate hazards. To address this disparity, we employed the Balanced Iterative Reducing and Clustering using the Hierarchies (BRICH) algorithm to cluster cities from diverse geographical areas that exhibit comparable socio- economic profiles. This clustering strives to foster enhanced cooperation and collaboration among cities globally, with the goal of addressing climate change in a comprehensive manner. In summary, we identified similarities, pa􏰀erns, and clusters among peer cities, enabling mutual and generaliza- ble learning among worldwide peer-cities regarding urban climate policy exchange. This exchange occurs through three approaches: (i) inner-mutual learning, (ii) cross-mutual learning, and (iii) outer-mutual learning. Our findings mark a pivotal stride towards a􏰀aining worldwide climate ob- jectives through a shared responsibility approach. Furthermore, they provide preliminary insights into the implementation of “urban climate policy exchange” among peer cities on a global scale.
DOI: 10.5281/zenodo.8318172
title: Data of the paper No City Left Behind: Building Climate Policy Bridges between the North and South

description: Cities are progressively heightening their climate aspirations to curtail urban carbon emis- sions and establish a future where economies and communities can flourish within the Earth’s eco- logical limits. Consequently, numerous climate initiatives are being launched to control urban car- bon emissions, targeting various sectors, including transport, residential, agricultural, and energy. However, recent scientific literature underscores the disproportionate distribution of climate poli- cies. While cities in the Global North have witnessed several initiatives to combat climate change, cities in the Global South remain uncovered and highly vulnerable to climate hazards. To address this disparity, we employed the Balanced Iterative Reducing and Clustering using the Hierarchies (BRICH) algorithm to cluster cities from diverse geographical areas that exhibit comparable socio- economic profiles. This clustering strives to foster enhanced cooperation and collaboration among cities globally, with the goal of addressing climate change in a comprehensive manner. In summary, we identified similarities, pa􏰀erns, and clusters among peer cities, enabling mutual and generaliza- ble learning among worldwide peer-cities regarding urban climate policy exchange. This exchange occurs through three approaches: (i) inner-mutual learning, (ii) cross-mutual learning, and (iii) outer-mutual learning. Our findings mark a pivotal stride towards a􏰀aining worldwide climate ob- jectives through a shared responsibility approach. Furthermore, they provide preliminary insights into the implementation of “urban climate policy exchange” among peer cities on a global scale.
DOI: 10.5281/zenodo.8131633
title: Spatiotemporally independent heavy precipitation events for the state of Hesse (Germany)

description: This data set contains a collection of spatiotemporally independent convective precipitation objects for the German state of Hessen. The data set was generated on the basis of the <em>RADKLIM‑YW Version 2017.002 (</em>https://doi.org/10.5676/DWD/RADKLIM_YW_V2017.002) radar precipitation data of the German Weather Service (DWD). It is grouped into precipitation duration stages of 15, 30, 45, 60, 75 and 90 minutes as well as a spatial aggregation of 9 and 25 grid cells. This results in 12 separate event lists.
DOI: 10.5281/zenodo.8131632
title: Spatiotemporally independent heavy precipitation events for the state of Hesse (Germany)

description: This data set contains a collection of spatiotemporally independent convective precipitation objects for the German state of Hessen. The data set was generated on the basis of the <em>RADKLIM‑YW Version 2017.002 (</em>https://doi.org/10.5676/DWD/RADKLIM_YW_V2017.002) radar precipitation data of the German Weather Service (DWD). It is grouped into precipitation duration stages of 15, 30, 45, 60, 75 and 90 minutes as well as a spatial aggregation of 9 and 25 grid cells. This results in 12 separate event lists.
DOI: 10.5281/zenodo.4264864
title: MAGIC Deliverable D6.5: Shale gas development in the EU 10Km radius well grid scenario

description: Geo data set of escenario of shale gas implementation in Europe. Developed for WP 6 of the MAGIC-Nexus project. It derives from a Geomodel of wells and a database of shale gas played developed by the EUOGA project. <strong>DB Fields------------------------------------------</strong> WELLid: Id of the well RBid: Id of the River Basin in which the well is located RBtxtINT: Name of the River Basin - English RBtxt: Name of the River Basin - Country's Name GWid: Groundwater basin ID PADid: ID of the extraction pad Formation: Shale formation Age: of the well Depth_avg: Average depth of the shale (inherited) Mature_avg: Average matureness of the shale (inherited) TOC_avg: Average Organic content of the shale (inherited) ThickGross: Gross Thickness of the shale play in meters (inherited) ThickNet_m: Net Thickness of the shale play in meters (inherited) EUOGA_Basi: Basin of the well according ot the EUOGA project database (inherited) Basin_inde: Id of the shale basin (inherited) NGS_Basin: Id of the BAsin as stated by the national geological service Shale_CP: Shale country RF_Maturit: Reference Maturity RF_Depth: Reference Depth CNTR_CODE, Country code NUTS_NAME: Name of the NUTS region NUTid: ID of the NUTS region x,y Coordinates of the well
DOI: 10.5281/zenodo.4264865
title: MAGIC Deliverable D6.5: Shale gas development in the EU 10Km radius well grid scenario

description: Geo data set of escenario of shale gas implementation in Europe. Developed for WP 6 of the MAGIC-Nexus project. It derives from a Geomodel of wells and a database of shale gas played developed by the EUOGA project. <strong>DB Fields------------------------------------------</strong> WELLid: Id of the well RBid: Id of the River Basin in which the well is located RBtxtINT: Name of the River Basin - English RBtxt: Name of the River Basin - Country's Name GWid: Groundwater basin ID PADid: ID of the extraction pad Formation: Shale formation Age: of the well Depth_avg: Average depth of the shale (inherited) Mature_avg: Average matureness of the shale (inherited) TOC_avg: Average Organic content of the shale (inherited) ThickGross: Gross Thickness of the shale play in meters (inherited) ThickNet_m: Net Thickness of the shale play in meters (inherited) EUOGA_Basi: Basin of the well according ot the EUOGA project database (inherited) Basin_inde: Id of the shale basin (inherited) NGS_Basin: Id of the BAsin as stated by the national geological service Shale_CP: Shale country RF_Maturit: Reference Maturity RF_Depth: Reference Depth CNTR_CODE, Country code NUTS_NAME: Name of the NUTS region NUTid: ID of the NUTS region x,y Coordinates of the well
DOI: 10.26093/cds/vizier.22080014
title: BGPS. IX. Data release 2.

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'The Bolocam Galactic Plane Survey. IX. Data release 2 and outer galaxy extension.' (bibcode: 2013ApJS..208...14G)
DOI: 10.5281/zenodo.7740037
title: Data and code_Ombadi et al., Nature (2023)_A warming induced reduction in snow fraction amplifies rainfall extremes

description: This repository contains intermediary and final outputs of the analysis presented in the article: "Ombadi et al., Nature (2023), A warming-induced reduction in snow-fraction amplifies rainfall extremes.". Additionally, the repository also contains codes for analysis and visualization of results presented in this article. The codes are primarily written in Python and provided as Jupyter Notebooks (.py files) with the exception of one code written in R language.
DOI: 10.5281/zenodo.7740036
title: Data and code_Ombadi et al., Nature (2023)_A warming induced reduction in snow fraction amplifies rainfall extremes

description: This repository contains intermediary and final outputs of the analysis presented in the article: "Ombadi et al., Nature (2023), A warming-induced reduction in snow-fraction amplifies rainfall extremes.". Additionally, the repository also contains codes for analysis and visualization of results presented in this article. The codes are primarily written in Python and provided as Jupyter Notebooks (.py files) with the exception of one code written in R language.
DOI: 10.5281/zenodo.7764603
title: African Savanna grasses outperform trees across the full spectrum of soil moisture availability

description: Summary Models of tree-grass coexistence in savannas make different assumptions about the relative performance of trees and grasses under wet vs. dry conditions. We quantified transpiration and drought tolerance traits in 26 tree and 19 grass species from the African savanna biome across a gradient of soil water potentials to test for a tradeoff between water use under wet conditions and drought tolerance. We measured whole-plant hourly transpiration in a growth chamber and quantified drought tolerance using leaf osmotic potential (Ψ<sub>osm</sub>). We also quantified whole-plant water use efficiency (WUE) and relative growth rate (RGR) under well-watered conditions. Grasses transpired twice as much as trees on a leaf-mass basis across all soil water potentials. Grasses also had a lower Ψ<sub>osm</sub> than trees, indicating higher drought tolerance in the former. Higher grass transpiration and WUE combined to largely explain the threefold RGR advantage in grasses. Our results suggest that grasses outperform trees under a wide range of conditions, and that there is no evidence for a trade-off in water use patterns in wet vs. dry soils. This work will help inform mechanistic models of water use in savanna ecosystems, providing much-needed whole-plant parameter estimates for African species.
DOI: 10.5281/zenodo.7764602
title: African Savanna grasses outperform trees across the full spectrum of soil moisture availability

description: Summary Models of tree-grass coexistence in savannas make different assumptions about the relative performance of trees and grasses under wet vs. dry conditions. We quantified transpiration and drought tolerance traits in 26 tree and 19 grass species from the African savanna biome across a gradient of soil water potentials to test for a tradeoff between water use under wet conditions and drought tolerance. We measured whole-plant hourly transpiration in a growth chamber and quantified drought tolerance using leaf osmotic potential (Ψ<sub>osm</sub>). We also quantified whole-plant water use efficiency (WUE) and relative growth rate (RGR) under well-watered conditions. Grasses transpired twice as much as trees on a leaf-mass basis across all soil water potentials. Grasses also had a lower Ψ<sub>osm</sub> than trees, indicating higher drought tolerance in the former. Higher grass transpiration and WUE combined to largely explain the threefold RGR advantage in grasses. Our results suggest that grasses outperform trees under a wide range of conditions, and that there is no evidence for a trade-off in water use patterns in wet vs. dry soils. This work will help inform mechanistic models of water use in savanna ecosystems, providing much-needed whole-plant parameter estimates for African species.
DOI: 10.5281/zenodo.8169686
title: PICO simulation of the CESM-BEC

description: This is ocean biogeochemistry tracer and tracer flux output from the PICO simulation of the Community Earth System Model, Biogeochemical Ecosystem Cycling (CESM-BEC) model as detailed in Letscher et al. (2023) in <em>Global Biogeochemical Cycles</em>. Output is the final twenty year annually averaged tracer concentrations and fluxes from a 300 year simulation using CORE II external forcing for the years 1948-2009. The resolution is nominally 3 deg latitude by 3 deg longitude with 62 vertical layers.
DOI: 10.5281/zenodo.8169687
title: PICO simulation of the CESM-BEC

description: This is ocean biogeochemistry tracer and tracer flux output from the PICO simulation of the Community Earth System Model, Biogeochemical Ecosystem Cycling (CESM-BEC) model as detailed in Letscher et al. (2023) in <em>Global Biogeochemical Cycles</em>. Output is the final twenty year annually averaged tracer concentrations and fluxes from a 300 year simulation using CORE II external forcing for the years 1948-2009. The resolution is nominally 3 deg latitude by 3 deg longitude with 62 vertical layers.
DOI: 10.5281/zenodo.7199358
title: Data for: A persistent submesoscale frontal slick: A novel marker of the mesoscale flow field in a large lake (Lake Geneva)

description: <strong>This study provides the first evidence of the evolution of a frontal slick in Lake Geneva, a large, deep lake in western Europe. Our results rely on field measurement, remote sensing data, and three-dimensional numerical modeling. The data presented here comprise:</strong> <strong>(1) measurements from an autonomous catamaran, including GNSS data, near-surface temperature profiles, weather station, near-surface Acoustic Doppler Current Profilers (ADCP), and RGB images from two onboard cameras,</strong> <strong>(2) infrared images from a FLIR camera attached to a helium-filled balloon, </strong> <strong>(3) time-lapse images from a shore-based imaging package provided slanted (non-perpendicular) field of views of the lake surface water,</strong> <strong>(4) Excitation Emission Matrix (EEM) using a Fluorescence Spectrometer for the Fluorescent Dissolved Organic Matter (FDOM) inside slick/non-slick samples, and</strong> <strong>(5) results of a 3D numerical simulation provided details of the lake hydrodynamics during the field measurement campaign.</strong> <strong>The three-dimensional model used in this study is based on the MIT General Circulation Model (MITgcm, http://mitgcm.org/, https://doi.org/10.1029/96JC02775).</strong>
DOI: 10.5281/zenodo.7199357
title: Data for: A persistent submesoscale frontal slick: A novel marker of the mesoscale flow field in a large lake (Lake Geneva)

description: <strong>This study provides the first evidence of the evolution of a frontal slick in Lake Geneva, a large, deep lake in western Europe. Our results rely on field measurement, remote sensing data, and three-dimensional numerical modeling. The data presented here comprise:</strong> <strong>(1) measurements from an autonomous catamaran, including GNSS data, near-surface temperature profiles, weather station, near-surface Acoustic Doppler Current Profilers (ADCP), and RGB images from two onboard cameras,</strong> <strong>(2) infrared images from a FLIR camera attached to a helium-filled balloon, </strong> <strong>(3) time-lapse images from a shore-based imaging package provided slanted (non-perpendicular) field of views of the lake surface water,</strong> <strong>(4) Excitation Emission Matrix (EEM) using a Fluorescence Spectrometer for the Fluorescent Dissolved Organic Matter (FDOM) inside slick/non-slick samples, and</strong> <strong>(5) results of a 3D numerical simulation provided details of the lake hydrodynamics during the field measurement campaign.</strong> <strong>The three-dimensional model used in this study is based on the MIT General Circulation Model (MITgcm, http://mitgcm.org/, https://doi.org/10.1029/96JC02775).</strong>
DOI: 10.5281/zenodo.8278257
title: Dataset used in the paper "Verifying the parameterization of vertical eddy viscosity and diffusivity in the bottom boundary layer"

description: This dataset is created from the data obtained over the continental shelf of the East China Sea in July 2020 during a cruise of the training ship Nagasaki-maru of Nagasaki University (NN055), and used in the manuscript entitled "Verifying the parameterization of vertical eddy viscosity and diffusivity in the bottom boundary layer" by Takahiro Endoh, Takuya Hirooka, and Yoshinobu Wakata, which will be submitted to Journal of Physical Oceanography.
DOI: 10.5281/zenodo.8278258
title: Dataset used in the paper "Verifying the parameterization of vertical eddy viscosity and diffusivity in the bottom boundary layer"

description: This dataset is created from the data obtained over the continental shelf of the East China Sea in July 2020 during a cruise of the training ship Nagasaki-maru of Nagasaki University (NN055), and used in the manuscript entitled "Verifying the parameterization of vertical eddy viscosity and diffusivity in the bottom boundary layer" by Takahiro Endoh, Takuya Hirooka, and Yoshinobu Wakata, which will be submitted to Journal of Physical Oceanography.
DOI: 10.5281/zenodo.7468694
title: Acoustic Current Profiler data from Multi-Year (2020-2022) Autonomous Underwater Glider Surveys in the Anegada Passage

description: This dataset contains glider acoustic doppler profiler observations from four glider deployments in the Anegada Passage region from 2020-2022. The 2020-2021 data are from a Nortek AD2CP and the 2022 data are from a Teledyne RDI Pathfinder. The RDI Pathfinder .PD0 files can be read directly in the code that is used for this analysis. The Nortek AD2CP .ad2cp files are processed using Nortek's MIDAS software to generate NetCDFs. <br>
DOI: 10.5281/zenodo.7468695
title: Acoustic Current Profiler data from Multi-Year (2020-2022) Autonomous Underwater Glider Surveys in the Anegada Passage

description: This dataset contains glider acoustic doppler profiler observations from four glider deployments in the Anegada Passage region from 2020-2022. The 2020-2021 data are from a Nortek AD2CP and the 2022 data are from a Teledyne RDI Pathfinder. The RDI Pathfinder .PD0 files can be read directly in the code that is used for this analysis. The Nortek AD2CP .ad2cp files are processed using Nortek's MIDAS software to generate NetCDFs. <br>
DOI: 10.5281/zenodo.6963077
title: Dataset for "Roles of surface forcing in the Southern Ocean temperature and salinity changes under increasing CO2: perspectives from model perturbation experiments and a theoretical framework"

description: Reference: Kewei Lyu, Xuebin Zhang, John A. Church, Quran Wu, Russell Fiedler, and Fabio Boeira Dias (2022), Roles of surface forcing in the Southern Ocean temperature and salinity changes under increasing CO<sub>2</sub>: perspectives from model perturbation experiments and a theoretical framework, <em>Journal of Physical Oceanography</em>, https://doi.org/10.1175/JPO-D-22-0095.1
DOI: 10.5281/zenodo.6963078
title: Dataset for "Roles of surface forcing in the Southern Ocean temperature and salinity changes under increasing CO2: perspectives from model perturbation experiments and a theoretical framework"

description: Reference: Kewei Lyu, Xuebin Zhang, John A. Church, Quran Wu, Russell Fiedler, and Fabio Boeira Dias (2022), Roles of surface forcing in the Southern Ocean temperature and salinity changes under increasing CO<sub>2</sub>: perspectives from model perturbation experiments and a theoretical framework, <em>Journal of Physical Oceanography</em>, https://doi.org/10.1175/JPO-D-22-0095.1
DOI: 10.5281/zenodo.7044817
title: Processed High Frequency Radar (HFR) Surface Current Data for the Processes Driving Exchange at Cape Hatteras (PEACH) Program

description: These hourly surface current velocities are a combined product derived from 8 monostatic radars (4 CODAR and 4 WERA) operated as part of the PEACH program. Level 2 data have been quality-controlled and gridded to an hourly time-base. A detailed description of processing methods and analysis is provided by Seim, <em>et al. </em>(2022) and a brief outline in the documentation uploaded with this dataset. Seim, H., Savidge, D., Muglia, M., Haines, S., & Han, L. (2022). Surface current observations from a combined CODAR/WERA high-frequency radar array along the North Carolina coast during the Processes Driving Exchange at Cape Hatteras (PEACH) Project. <em>IEEE/MTS Proceedings Oceans 2022</em>.
description: Funded by the US National Science Foundation under grant OCE-1558920.
DOI: 10.5281/zenodo.7044816
title: Processed High Frequency Radar (HFR) Surface Current Data for the Processes Driving Exchange at Cape Hatteras (PEACH) Program

description: These hourly surface current velocities are a combined product derived from 8 monostatic radars (4 CODAR and 4 WERA) operated as part of the PEACH program. Level 2 data have been quality-controlled and gridded to an hourly time-base. A detailed description of processing methods and analysis is provided by Seim, <em>et al. </em>(2022) and a brief outline in the documentation uploaded with this dataset. Seim, H., Savidge, D., Muglia, M., Haines, S., & Han, L. (2022). Surface current observations from a combined CODAR/WERA high-frequency radar array along the North Carolina coast during the Processes Driving Exchange at Cape Hatteras (PEACH) Project. <em>IEEE/MTS Proceedings Oceans 2022</em>.
description: Funded by the US National Science Foundation under grant OCE-1558920.
DOI: 10.5281/zenodo.7042351
title: A data set of monthly global ocean vertical velocity from 1950-2014

description: This data set provides monthly global ocean vertical velocity from 1950-2014. It was constructed from 41 CMIP6 models (historical experiment). It may be used for investigating the large-scale upwelling and downwelling. Note that this data set has not been widely tested. Please feel free to contact the author if you had any questions or concerns. It will be greatly appreciated if you could send the author an email when you used this data set, so that the author can better improve this data set, and more importantly, provide you with updated data sets or any modifications.