cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/wdcc/cmip5.ipimhi
title: IPSL-CM5A-MR model output prepared for CMIP5 historical experiment, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: 'historical' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.2 historical (3.2 Historical) - Version 1: Simulation of recent past (1850 to 2005). Impose changing conditions (consistent with observations). Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
DOI: 10.1594/wdcc/cmip5.ipimpc
title: IPSL-CM5A-MR model output prepared for CMIP5 piControl experiment, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: piControl is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.1 piControl (3.1 Pre-Industrial Control) - Version 1: Pre-Industrial coupled atmosphere/ocean control run. Imposes non-evolving pre-industrial conditions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
DOI: 10.1594/wdcc/cmip5.ipimr8
title: IPSL-CM5A-MR model output prepared for CMIP5 RCP8.5, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: rcp85 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 4.2 rcp85 (4.2 RCP8.5) - Version 1: Future projection (2006-2100) forced by RCP8.5. RCP8.5 is a representative concentration pathway which approximately results in a radiative forcing of 8.5 W m-2 at year 2100, relative to pre-industrial conditions. RCPs are time-dependent, consistent projections of emissions and concentrations of radiatively active gases and particles. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
DOI: 10.1594/wdcc/cmip5.mim7hi
title: MIROC-ESM-CHEM model output prepared for CMIP5 historical, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: 'historical' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.2 historical (3.2 Historical) - Version 1: Simulation of recent past (1850 to 2005). Impose changing conditions (consistent with observations). Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
DOI: 10.1594/wdcc/cmip5.mim7pc
title: MIROC-ESM-CHEM model output prepared for CMIP5 piControl, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: piControl is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.1 piControl (3.1 Pre-Industrial Control) - Version 1: Pre-Industrial coupled atmosphere/ocean control run. Imposes non-evolving pre-industrial conditions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
DOI: 10.1594/wdcc/oceanrain-w
title: Ocean Rainfall And Ice-phase precipitation measurement Network - OceanRAIN-W

description: Project: Ocean Rainfall And Ice-phase precipitation measurement Network - OceanRAIN—the Ocean Rainfall And Ice-phase precipitation measurement Network—provides in-situ along-track shipboard data of precipitation, evaporation and the resulting freshwater flux in 1-min resolution over the global oceans. All routinely measured atmospheric and oceanographic state variables along with those required to derive the turbulent heat fluxes are included. The precipitation parameter is based on measurements from the optical disdrometer ODM470 that is specifically designed for all-weather shipboard operation. The rain, snow and mixed-phase precipitation occurrence, intensity and accumulation are derived from particle size distributions (PSD). Additionally, microphysical parameters and radar-related parameters are provided. The products are available as water cycle components (OceanRAIN-W) continuous in time, precipitation microphysical (OceanRAIN-M) and disdrometer raw data (OceanRAIN-R) both discontinuous in time. OceanRAIN Version 1.0 contains 73 parameters plus PSD data in 128 size bins. The time period from 06/2010 to 04/2017 comprises more than 6.83 million minutes of data from eight ships with precipitation observed in about 10% of the time. The research vessels sail the global oceans during all seasons, avoiding the fair-weather bias and thus covering the entire spectrum of weather events. OceanRAIN provides in-situ water cycle surface reference data for satellite product validation and retrieval calibration of the GPM (Global Precipitation Measurement) era, to analyze the point-to-area representativeness of precipitation and to improve our understanding of water cycle processes over the global oceans. Moreover, the data can be applied to evaluate re-analysis and climate model data. The data set is funded by Initiative Pro Klima (www.initiativeproklima.de) and the CliSAP excellence cluster at the University of Hamburg. More information on OceanRAIN data, instrumentation and the processing chain are available via www.oceanrain.org. Summary: OceanRAIN version 1.0, OceanRAIN-W - Water cycle components, 73 along-track parameters for 8 ships, 6.83 million minutes in total, temporally continuous data for each ship, 1-minute-resolution
DOI: 10.17632/26hywt98c6.1
title: Data on soil hydrophobicity, vegetation, and soil in enclosed grassland

description: The data are about in situ soil repulsion, vegetation investigation and soil physical and chemical properties of grassland in Yunwu Mountain of Ningxia with different years of enclosure. The data of microbial sequencing have been uploaded to NCBI.
DOI: 10.17632/yyyvmxh8vg.1
title: Tsunami Flow Depths, Building Damages, and tsunami bouldersMeasured from the December 22, 2018 Sunda Strait Tsunami around Western Java and Southern Lampung of Indonesia

description: A series of measurements were performed following the December 22, 2018 tsunami generated in Sunda Strait of Indonesia. Tsunami flow depth data is shown here. The data comprises all tsunami affected area in Banten Province and Lampung Province of Indonesia. There are 117 tsunami flow depth data displayed in this database. The field survey was conducted from December 24, 2018 until January 3, 2019. The data covered 112 km of Banten coastline and 14 km of Lampung coastline that were hit by the tsunami. Tsunami and Disaster Mitigation Research Center (TDMRC) of Universitas Syiah Kuala is considered the first team that accessed the area after the tsunami. Therefore, data presented in this article were considered the first collected data measured from the tsunami affected area. The area of the investigations were divided into five areas as can be seen in Fig. 1. These data set include data of tsunami flow depths, damaged houses, and tsunami boulders. Detailed description of the survey, methods, analysis, and important findings of this survey can be found at a journal article title "The 22 December 2018 Mount Anak Krakatau Volcanogenic Tsunami on Sunda Strait Coasts, Indonesia: tsunami and damage characteristics" at Natural Hazards and Earth System Sciences. The survey was supported by Partnership Enhanced Engagement in Research (PEER) of USAID Grant No. 5-395.
DOI: 10.17863/cam.12608
title: Library of Industrial Symbiosis case studies and linked exchanges

description: The database containing the library of industrial symbiosis case studies and linked exchanges has been developed as part of the activities carried out by the Centre for Industrial Sustainability, University of Cambridge, in the project MAESTRI ‘Energy and resource management systems for improved efficiency in the process industries’. This project has been funded by the European Commission through the Horizon 2020 programme. The dataset is a collection of information related to existing industrial symbiosis cases. Data have been gathered from publicly available sources (scientific papers, presentations, white papers, etc.), which are referenced in the dataset, and organised into different categories in order to make information more readable and easily accessible. The dataset is composed of two different and connected sections: a library of case studies and an exchanges database. The library of case studies describes each case according to a precise structure: a brief narrative of the case description is followed by five sections presenting related tacit knowledge content, such as triggering factors, preconditions and barriers. Each case in the library is identified by a numerical ID. All sources used to create the library content (scientific publications, whitepapers, industrial presentation, etc.) are also identified with a numerical ID. A combination of these two numerical IDs plus an additional sequential number univocally identifies each exchange found in the case studies. This numerical identifier serves as link between the case studies and the exchanges sections of the dataset. The exchanges database describes all the exchanges of resources from the cases included in the library of case studies. The information is categorised in two main sections, one related to companies involved and the other to materials exchanged. For each exchange, the industrial sector of the companies involved is identified using the NACE code, while the exchanged material is identified using the European Waste Classification, the European Classification of Products by Activities, and a CAS Registry Number ® in case its chemical composition is given. A description of the waste treatment is given wherever applicable, as well as some additional details regarding the synergy (final use of the exchanged flow, availability of flows’ quantities and payment details in the original source, level of completion of the exchange). A more detailed description of the library and the database can be found in MAESTRI Deliverable D4.2, accessible here: https://maestri-spire.eu/wp-content/uploads/2016/09/D4.2_MAESTRI-Prototype-library-of-case-studies_v1.0.pdf. An online version of the library and database is accessible from MAESTRI website, the Symbiosis Space: https://maestri-spire.eu/symbiosis-space/. This Space contains descriptions of each case and a downloadable spreadsheet with the data regarding the exchanges. The spreadsheet has VBA® macros to enable facilitated data queries.
DOI: 10.17909/qn96-rf30
title: Time-resolved HST FUV obervations of an X-ray quasi-periodic eruption source

description: FUV observations of eRO-QPE2
DOI: 10.18140/flx/1440221
title: FLUXNET2015 DE-Zrk Zarnekow

description: This is the FLUXNET2015 version of the carbon flux data for the site DE-Zrk Zarnekow.
DOI: 10.18434/m32126
title: Observations of CO2, CH4, and CO mole fractions from the NIST Northeast Corridor urban testbed
DOI: 10.18739/a2x54s
title: Temperature and bio-geochemical data from Toolik Lake, Lake N2, Lake E1, Lake E5, and Lake E6, North Slope, Alaska

description: Lakes are abundant in the terrestrial arctic, extending over about one quarter of the territory. For approximately nine months of the year, the waters of arctic lakes are under ice. Despite the duration of the ice-covered period, few studies have addressed the limnology (biological, chemical, and physical features) of these lakes during winter and how conditions under ice affects the stratification of lakes during the summer. We aim to look at the full year cycle lake circulation in order to quantify the effects of hydrodynamics on nutrient and gas fluxes and place the results within the context of climate change in the Arctic. The goals of our study include: (1) quantifying physical and biogeochemical controls on under ice thermal structure and circulation, the flowpath of snow melt, and mixing during spring and fall (2) quantifying respiration rates in arctic lakes of differing morphology and on geological substrates (3) illustrating the linkages and feedbacks between these physical and biogeochemical processes. 
 Our research is being conducted in lakes studied by the Arctic Long Term Ecological Research (ARC LTER). The selected lakes are: Toolik Lake, Lake E1, Lake E5, Lake E6 and Lake N2. The Lakes range in size from 1 to 1500 hectares. 
 We measured temperature and bio-geochemical lake parameters in two different formats: time series, and profile data. Time series of water temperatures, specific conductance, pressure, and dissolved oxygen at several depths were obtained from a taut-line mooring in different seasons (summer and winter) across multiple years (between fall 2012 and fall 2016). We measured profiles of temperature and bio-geochemical lake parameters at the deepest site (and occasionally other sites) in all lakes during the same time coverage as the time series.
DOI: 10.21427/jhc3-g466
title: Quantitative Raman Analysis of Human blood serum of glaucoma patients supplemented with macular pigment carotenoids
DOI: 10.24381/cds.d29ad2c6
title: Arctic regional reanalysis on model levels from 1991 to present
DOI: 10.25828/rgqe-x897
title: All Media and Products Survey 2015
DOI: 10.26050/wdcc/halo_measurements_5
title: Liquid water path and integrated water vapor over the tropical Atlantic during NARVAL-South

description: Project: HAlo Microwave Package - The Halo Microwave Package (HAMP) comprises microwave radiometers with 26 channels in the frequency range between 20 and 183 GHz and a 35 GHz cloud radar. This instrument suite was designed to be deployed on the German research aircraft HALO (High Altitude LOng range research aircraft). Synergistic analysis of measurements from these instruments allow for improved detection of hydrometeors both via the emission and scattering of radiation. HAMP measurements are and can be used for satellite validation and model evaluation studies. HAMP’s main advantages are a high vertical and temporal resolution. Vertical resolution of radar data is approximately 30 m and temporal resolution of both instruments is approximately 1 s. Research for the HAMP project was funded by the German Science Foundation (DFG), within the the priority program “High Altitude and Long Range Research Aircraft (HALO)” SPP 1294, the Max-Planck-Society, and the German Aerospace Center (DLR). Summary: Products of liquid water path (LWP), rain water path (RWP) and integrated water vapor (IWV, also called precipitable water vapor (PWV)) are retrieved from microwave radiometer observations with auxiliary measurements from backscatter lidar and cloud radar. The nadir measurements were taken by the German High Altitude and Long range research aircraft (HALO) during the Next generation Advanced Remote sensing for VALidation campaign South (NARVAL-South) in December 2013. Products are provided over tropical Atlantic east of Barbados. This experiment provides column integrated quantities as seen from satellite perspective but with higher spatially resolution (about 1 km footprint) than available from microwave satellites.
DOI: 10.26050/wdcc/halo_measurements_6
title: Liquid water path and integrated water vapor over the tropical Atlantic during NARVAL2

description: Project: HAlo Microwave Package - The Halo Microwave Package (HAMP) comprises microwave radiometers with 26 channels in the frequency range between 20 and 183 GHz and a 35 GHz cloud radar. This instrument suite was designed to be deployed on the German research aircraft HALO (High Altitude LOng range research aircraft). Synergistic analysis of measurements from these instruments allow for improved detection of hydrometeors both via the emission and scattering of radiation. HAMP measurements are and can be used for satellite validation and model evaluation studies. HAMP’s main advantages are a high vertical and temporal resolution. Vertical resolution of radar data is approximately 30 m and temporal resolution of both instruments is approximately 1 s. Research for the HAMP project was funded by the German Science Foundation (DFG), within the the priority program “High Altitude and Long Range Research Aircraft (HALO)” SPP 1294, the Max-Planck-Society, and the German Aerospace Center (DLR). Summary: Products of liquid water path (LWP), rain water path (RWP) and integrated water vapor (IWV, also called precipitable water vapor (PWV)) are retrieved from microwave radiometer observations with auxiliary measurements from backscatter lidar and cloud radar. The nadir measurements were taken by the German High Altitude and Long range research aircraft (HALO) during the Next generation Advanced Remote sensing for VALidation campaign 2 (NARVAL2) in August 2016. Products are provided over tropical Atlantic east of Barbados. This experiment provides column integrated quantities as seen from satellite perspective but with higher spatially resolution (about 1 km footprint) than available from microwave satellites.
DOI: 10.3334/cdiac/otg.socat_adqcf
title: Incorporation of Alternative Sensors in the SOCAT Database and Adjustments to Dataset Quality Control Flags
DOI: 10.5067/dzyn0skig6fb
title: IceBridge ATM L1B Qfit Elevation and Return Strength, Version 1
DOI: 10.5067/evydq32fnwth
title: SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture, Version 6
DOI: 10.5067/m4tuh28nhl4z
title: ASO L4 Lidar Snow Water Equivalent 50m UTM Grid, Version 1