cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8335402
title: MAR model simulations 1990-2020 for the EastGRIP drilling site in Greenland

description: MARv3.12 forced by 6-hourly ERA-5 reanalysis product outputs 

Simulation period 01/1990-12/2020

Model output given for closest grid cell to the EastGRIP drilling site (75.6 N, 36.0 W), model domain covers all of Greenland


MARv3.12 outputs used and described in:



Dietrich, L.J., Steen-Larsen, H.C., Wahl, S., Faber, A.K. and Fettweis, X., 2024. On the importance of the humidity flux for the surface mass balance in the accumulation zone of the Greenland Ice Sheet. The Cryosphere Discussions, https://doi.org/10.5194/tc-18-289-2024 

Dietrich, L.J., Steen-Larsen, H.C., Wahl, S., Jones, T.R., Town, M.S. and Werner, M., 2023. Snow-atmosphere humidity exchange at the ice sheet surface alters annual mean climate signals in ice core records. Geophysical Research Letters, https://doi.org/10.1029/2023GL104249.


Please, be encouraged to get in touch with me (Laura.Dietrich@uib.no) if you have any questions/research ideas regarding these model data. Data of other model variables or locations in the domain can be shared upon request.Data usage notice:

If you use any of these data you should refer to:

Dietrich, L.J., Steen-Larsen, H.C., Wahl, S., Faber, A.K. and Fettweis, X., 2024. On the importance of the humidity flux for the surface mass balance in the accumulation zone of the Greenland Ice Sheet. The Cryosphere Discussions, https://doi.org/10.5194/tc-18-289-2024
DOI: 10.5285/5920a2c77e3c45339477acd31ce62c3c
title: ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): weekly and monthly sea surface salinity products, v03.21, for 2010 to 2020

description: The European Space Agency (ESA) Sea Surface Salinity Climate Change Initiative (CCI) consortium has produced global, level 4, multi-sensor Sea Surface Salinity maps covering the 2010-2020 period. This dataset collection contains Sea Surface Salinity (SSS) v03.21 data at a spatial resolution of 50km and a time resolution of 1 week. It has been spatially sampled on a 25km EASE (Equal Area Scalable Earth) grid and 1 day of time sampling. A monthly product is also available, at a spatial resolution of 25 km and a time resolution of 1 month. This has been spatially sampled on a 25 km EASE (Equal Area Scalable Earth) grid and 15 days of time sampling. In addition to salinity, information on errors are provided. For more information see the user guide and product documentation available on the Sea Surface Salinity CCI web page.
DOI: 10.5285/cc1e34b3-3385-662b-e053-6c86abc03444
title: Atlantic meridional overturning circulation observed by the RAPID-MOCHA-WBTS (RAPID-Meridional Overturning Circulation and Heatflux Array-Western Boundary Time Series) array at 26N from 2004 to 2020 (v2020.1).

description: The RAPID-MOCHA-WBTS (RAPID-Meridional Overturning Circulation and Heatflux Array-Western Boundary Time Series) programme has produced a continuous time series of the Atlantic Meridional Overturning Circulation (AMOC) at 26N that started in April 2004. This release of the time series covers the period from April 2004 to March 2020. The 26N AMOC time series is derived from measurements of temperature, salinity, pressure and water velocity from an array of moored instruments that extend from the east coast of the Bahamas to the continental shelf off Africa east of the Canary Islands. The AMOC calculation also uses estimates of the transport in the Florida Strait derived from sub-sea cable measurements calibrated by regular hydrographic cruises. The component of the AMOC associated with the wind driven Ekman layer is derived from ERA5 reanalysis. This release of the data includes a document with a brief description of the calculation of the AMOC time series and references to more detailed description in published papers. The 26N AMOC time series and the data from the moored array are curated by the British Oceanographic Data Centre (BODC). The RAPID-MOCHA-WBTS programme is a joint effort between NERC in the UK (Principle Investigator Eleanor Frajka-Williams since 2020, David Smeed 2012 to 2020, and Stuart Cunningham from 2004 to 2012), NOAA (PIs Molly Baringer and Denis Volkov) and NSF (PI Prof. Bill Johns, Uni. Miami) in the USA
DOI: 10.5285/cf2d9ba9-d51d-3b7c-e053-8486abc0f5fd
title: The GEOTRACES Intermediate Data Product 2021 (IDP2021).

description: The GEOTRACES Intermediate Data Product 2021 (IDP2021) is the third release of publicly available data products from the international GEOTRACES programme, and contains trace element and isotope (TEI) data reported before the end of 2020. The TEI data in the IDP2021 are quality controlled by careful assessment of intercalibration results and multi-laboratory data comparisons at crossover stations. The IDP2021 represents a major new data release. Compared to IDP2017, IDP2021 improves data coverage significantly in all ocean basins, especially in the Arctic, the Indian Ocean and the Pacific. Overall, the new data product contains more than twice the number of cruises, stations and actual data values. IDP2021 also contains data for a large suite of biogeochemical parameters, as well as aerosol and rain data characterising atmospheric TEI sources and, for the first time, cryosphere TEI data from the Arctic. IDP2021 is comprised of five packages of digital data: (1) seawater discrete water sample data including TEIs as well as standard hydrographic parameters, (2) aerosol data, (3) precipitation data, (4) cryosphere data and (5) seawater sensor data. The digital data are available in ASCII, netCDF, and Ocean Data View collection formats, with data quality flags and 1-σ data error values where available. Metadata concerning data originators, analytical methods and original publications related to the data are linked in an easily accessible way. The GEOTRACES IDP2021 is released under the Creative Commons By Attribution (CC-BY) Licence 4.0 as described in the Fair Use Agreement.
DOI: 10.6084/m9.figshare.14423690
title: Diffuse fraction distributions 1901-2017 in support of carbon cycle modelling

description: This diffuse fraction dataset offers 6-hourly distributions of the diffuse fraction of surface shortwave fluxes over the period 1901-2017. Radiative transfer calculations are based on monthly-averaged distributions of tropospheric and stratospheric aerosol optical depth, and 6-hourly distributions of cloud fraction. Methods follow those described in the Methods section of Mercado et al. (doi:10.1038/nature07949, 2009), but with updated input datasets. <br><br>The time series of speciated tropospheric aerosol optical depth is taken from the historical and RCP8.5 simulations by the HadGEM2-ES climate model (Bellouin et al., doi:10.1029/2011JD016074, 2011). To correct for biases in HadGEM2-ES, tropospheric aerosol optical depths are scaled over the whole period to match the global and monthly averages obtained over the period 2003-2017 by the CAMS Reanalysis of atmospheric composition (Inness et al., doi:10.5194/acp-19-3515-2019, 2019), which assimilates satellite retrievals of aerosol optical depth. <br><br>The time series of stratospheric aerosol optical depth is taken from the climatology by Sato et al. (doi:10.1029/93JD02553, 1993), which has been updated to 2012. Years 2013-2017 are assumed to be background years so replicate background year 2010. That assumption is supported by the Global Space-based Stratospheric Aerosol Climatology time series (1979-2016; Thomason et al., doi:10.5194/essd-10-469-2018, 2018). <br><br>The time series of cloud fraction is obtained by scaling the 6-hourly distributions simulated in the Japanese Reanalysis (JRA; Kobayashi et al., doi:10.2151/jmsj.2015-001, 2015) to match the monthly-averaged cloud cover in the CRU TS v4.03 dataset (Harris et al. doi:10.1038/s41597-020-0453-3, 2020). <br><br>Surface radiative fluxes account for aerosol-radiation interactions from both tropospheric and stratospheric aerosols, and for aerosol-cloud interactions from tropospheric aerosols, except mineral dust. Tropospheric aerosols are also assumed to exert interactions with cloud. The radiative effects of those aerosol-cloud interactions are assumed to scale with the radiative effects of aerosol-radiation interactions of tropospheric aerosols, using regional scaling factors derived from HadGEM2-ES. <br><br>Diffuse fraction is assumed to be 1 in cloudy sky. Atmospheric constituent other than aerosols and clouds are set to a constant standard mid-latitude summer atmosphere, but their variations do not affect the diffuse fraction of surface shortwave fluxes.<br><br>
DOI: 10.6084/m9.figshare.22704571
title: DispersalDiversification_Emberizoidea.zip

description: This .zip contains the necessary tools to recreate the analyses performed in the study: "Broad geographic dispersal is not a driver for diversification in Emberizoidea", along with some extra analyses.<br>Includes a Readme explaining all contained data.
DOI: 10.6084/m9.figshare.28099709.v1
title: Raw data MASTERCHART.xlsx

description: Clinical correlation of p16 expression with lymphatic invasion and epithelial-mesenchymal transition (EMT) in oropharyngeal carcinomas
DOI: 10.13026/c2f305
title: MIT-BIH Arrhythmia Database

description: Since 1975, our laboratories at Boston's Beth Israel Hospital (now the Beth Israel Deaconess Medical Center) and at MIT have supported our own research into arrhythmia analysis and related subjects. One of the first major products of that effort was the MIT-BIH Arrhythmia Database, which we completed and began distributing in 1980. The database was the first generally available set of standard test material for evaluation of arrhythmia detectors, and has been used for that purpose as well as for basic research into cardiac dynamics at more than 500 sites worldwide. Originally, we distributed the database on 9-track half-inch digital tape at 800 and 1600 bpi, and on quarter-inch IRIG-format FM analog tape. In August, 1989, we produced a CD-ROM version of the database.
DOI: 10.1594/pangaea.956061
title: Age model output of ice core Skytrain Ice Rise

description: Age model derived using Paleochrono program using fixed tiepoints described in the paper. Our recommended ice age scale uses ALC age until 1337 a bp and Paleochrono for all older ages. We give no ages for ice we consider disturbed (605-617 m, &gt;628 m).
DOI: 10.18739/a26d5pb2s
title: Surface Mass Balance and Snow Depth on Sea Ice Working Group (SUMup) snow density subdataset, Greenland and Antartica, 1950-2018
DOI: 10.21227/h2k88d
title: Real-life Power Quality Sags
DOI: 10.25326/216
title: Cloud top height derived from airborne measurements with the WALES lidar during the EUREC4A field campaign

description: This dataset contains cloud top data derived from airborne measurements with the WALES lidar during the EUREC4A field campaign . Lidar raw data at a temporal resolution of 5 Hz were used, which corresponds to 40 m  horizontal spacing. The vertical resolution of the backscatter data is 7.5 m . The cloud flag is inferred from a step of the lidar backscatter ratio at 532 nm to values bigger than 10, while searching from the aircraft downwards. To further facilitate the discrimination of optically thin clouds and opaque ones the atmospheric optical depth between the cloud top and the sub-cloud layer is included in the data set. Values above 2 to 3, depending on the background light situation, are only rough estimates, but indicate the presence of on optically thick, opaque cloud. The data also includes the altitude of the cloud top as height above the EGM96 geoid with a precision of about 10 m and an accuracy of about the same magnitude. Further included is an estimation of the altitude of the top of the boundary layer above sea level. This is inferred from the maximum correlation of the lidar backscatter ratio profile at 532 nm with a step function. This quantity is experimental and should be interpreted with care, especially in the presence of residual layers or strong horizontal wind shear which may cause multi-layer structures. In the case of a cloud, no PBL-top is given.
DOI: 10.25835/z5zxagiz
title: LES of small and large wind farm

description: PALM input files, user code and plot scripts. The PALM code is available at https://gitlab.palm-model.org/releases/palm_model_system .
DOI: 10.25900/mpr9-yn15
title: OCTOPUS Database v.2: The CRN Denudation Australian collection
DOI: 10.5067/6sbrota57tfh
title: OCO-2 Level 2 geolocated XCO2 retrievals results, physical model, Retrospective Processing V10r
DOI: 10.5067/atlas/atl06.004
title: ATLAS/ICESat-2 L3A Land Ice Height, Version 4
DOI: 10.5067/atlas/atl11.004
title: ATLAS/ICESat-2 L3B Annual Land Ice Height, Version 4
DOI: 10.5067/caliop/calipso/cal_lid_l1-standard-v4-51
title: CALIPSO Lidar Level 1B profile data, V4-51
DOI: 10.5067/icesat/glas/data125
title: GLAS/ICESat L1B Global Waveform-based Range Corrections Data, Version 34
DOI: 10.5067/icesat/glas/data209
title: GLAS/ICESat L2 Global Antarctic and Greenland Ice Sheet Altimetry Data (HDF5), Version 34
DOI: 10.5067/terra/modis/l3b/chl/2018
title: MODIS-TERRA Level 3 Binned Chlorophyll Data Version R2018.0
DOI: 10.5281/zenodo.10386083
title: Dataset for "The effects of increasing coupling frequency and considering skin temperature on the simulation by CAS-ESM2"

description: This dataset is the simulation for the manuscript "The effects of increasing coupling frequency and considering skin temperature on the simulation by CAS-ESM2" submitted to JGR-Atmospheres.
DOI: 10.5281/zenodo.4681325
title: Database of Last Interglacial (MIS 5e) Sea-level Indicators in Southeast Asia

description: This spreadsheet is a complete record of the Last Interglacial (MIS 5e) sea-level indicators in Southeast Asia. It has been exported from "The World Atlas of Last Interglacial Shorelines (WALIS) Database" (https://warmcoasts.eu/world-atlas.html).
DOI: 10.5281/zenodo.5885722
title: tobac-flow Validation data

description: Validation results for the detection of cores and anvils using the tobac-flow method Validation was performed over 297 days in 2018. Other days were excluded due to missing ABI or GLM data. Validation was performed over a subset of the GOES-16 CONUS scan region.
DOI: 10.5281/zenodo.5910972
title: LegacyPollen 1.0: A taxonomically harmonized global Late Quaternary pollen dataset of 2831 records with standardized chronologies

description: This repository consists of code for downloading pollen data from the Neotoma Paleoecology Database, the harmonization of pollen taxa, and the assignment of age-depth data so that datasets for customized harmonization levels can be easily established. The input data includes a harmonization table and example data, stored in machine-readable data format (.CSV).
DOI: 10.5281/zenodo.6001869
title: Data Lacar Experiment (2018.03 - 2018.10)

description: Data from Lascar volcano experiment since March 2018 to October 2018. Each folder has the waveforms in SEISAN format, which you can open using Obspy and to follow the pre-processing step.
description: This work has been funded by ANID/FONDECYT-INICIACIÓN/11190190, Antofagasta Regional Government, FIC-R project, code BIP N°30488832-0 and by Research Center for Integrated Disaster Risk Management (CIGIDEN), ANID/FONDAP/15110017.
DOI: 10.5281/zenodo.7638998
title: Risk perception among Goma population before the 2021 Nyiragongo eruption

description: Data sets on risk perception components (perceived severity and perceived vulnerability) associated to socio-demographic profile of the population of Goma as well as their psychological and cognitive factors related to volcanic risk.
DOI: 10.5281/zenodo.7851169
title: Biogeosciences paper data for Hasanyar et al. "How much do bacterial growth properties and biodegradable dissolved organic matter control water quality at low flow?"

description: The proposed dataset is related to the following publication:<br> Hasanyar, M., Romary, T., Wang, S., Flipo, N. (2023) How much do bacterial growth properties and biodegradable dissolved organic matter control water quality at low flow? Biogeosciences It consists in command files for the c-rive0.32 software available here<br> Shuaitao Wang, Lauriane Vilmin, Masihullah Hasanyar, & Nicolas Flipo. (2023). C-RIVE (0.32). Zenodo. https://doi.org/10.5281/zenodo.7849609 <br> To run the model :<br> 1. Compile crive0.32<br> 2. Copy the executable in the current directory<br> 3. In a terminal launch<br> &gt; ./crive0.32 ./sensitivity.COMM test.log The “sensitivity.COMM” holds the settings for the C-RIVE simulation related to the paper mentioned in the front head of the current file<br> The information on different parameters of “sensitivity.COMM” are included in “layers”, “meteo” and “param_bio” folders.<br> The layer folder holds the information about the initial conditions of the model (Table 2 in the article).<br> The “meteo” folder holds the meteorological information and finally the “param_bio” folder holds the information on physiology of bacteria, phytoplankton and other model species. <br> The output files are written in $HOME/OUTPUT_CRIVE. It is possible to change it directely in sensitivity.COMM, second entry 'OUTPUT_FOLDER'
DOI: 10.5281/zenodo.8400837
title: Ultrasensitive ctDNA detection for preoperative disease stratification in early-stage lung adenocarcinoma

description: Code and data for the MS "Ultrasensitive ctDNA detection for preoperative disease stratification in early-stage lung adenocarcinoma"
DOI: 10.5285/053d6318-59b2-6aa8-e063-6c86abc06f23
title: Model output containing ocean and sea ice variables from GOSI9 eORCA1 (1976-2005).

description: This dataset contains monthly and annual means of ocean and sea ice variables from a 30 year (1976-2005) integration of the GOSI9 model configuration at 1° horizontal resolution. The ocean output fields on T, U, V, and W grids are provided in separate files. The ocean component is on a 1° grid (eORCA1) with 75 vertical levels. The sea ice data is on the ocean T grid with 5 thickness categories. GOSI9 is the latest version of the global ocean-sea ice configuration developed under the Joint Marine Modelling Programme (JMMP). The temperature and salinity fields were initialised from EN4 climatology (Good et al., 2013) and forced by the CORE2 surface dataset (Large & Yeager, 2009). All initialisation and ancillary data are also included. The data were generated under the Climate Linked Atlantic Sector Science (CLASS) project funded by the Natural Environment Research Council (NERC).
DOI: 10.5285/c7a1a7b2-b220-1403-e053-6c86abc039bf
title: AMT21 (D371) aerosol chemical composition (major ions, iodine species and soluble trace metals) from size segregated aerosol samples collected October-November 2011.

description: The dataset contains the atmospheric concentrations of all measured soluble major ions (in Nanomoles per m<sup>3</sup>), iodine species and soluble trace metals (in Picomoles per m<sup>3</sup>). These data were produced from the analysis of size segregated aerosol samples collected in the Atlantic Ocean between the 1<sup>st</sup> of October and 9<sup>th</sup> of November 2011 during the Atlantic Meridional Transect (AMT) cruise AMT21 (D371). The samples were collected by Chan Yodle of the University of East Anglia, UK, using two Tisch high volume aerosol collectors. Samples from one collector were used for analysis of major ions and iodine speciation, and from the other for soluble trace metals. These data are available under the most recent version of the NERC Open Government Licence.
DOI: 10.5683/sp2/i75bz0
title: Estimated effect of the permafrost carbon feedback on the zero emissions commitment to climate change

description: This directory contains the UVic ESCM model output for MacDougall, 2021, “Estimated effect of the permafrost carbon feedback on the zero emissions commitment to climate change” Parameters: Contains ASCII files with parameter values for each model variant. ECS is degrees K per doubling of atmospheric CO2. Arctic amplification is the ratio of warming north of 60 degrees divided by global temperature. 1pct_1000: ZECMIP A1 experiment with permafrost carbon 1pct_1000_NoPFC: ZECMIP A1 experiment with out permafrost carbon 1pct_2000: ZECMIP A3 experiment with permafrost carbon 1pct_2000_NoPFC: ZECMIP A3 experiment with out permafrost carbon
DOI: 10.5904/wgms-fog-2020-08
title: Fluctuations of Glaciers Database

description: Internationally collected, standardized dataset on changes in glaciers (length, area, volume, mass), based on in-situ and remotely sensed observations, as well as on reconstructions.
DOI: 10.6084/m9.figshare.14501547.v1
title: Data used in https://doi.org/10.5194/gmd-2019-227

description: Prior, posterior and prescribed fluxes, and prior and posterior concentrations from the inversions described in <br>https://doi.org/10.5194/gmd-2019-227
DOI: 10.6084/m9.figshare.16430478.v5
title: Daily soil moisture mapping at 1 km resolution based on SMAP data for areas affected by desertification in Northern China

description: Areas affected by desertification in North China, which are very sensitive to SM, were selected as the study area. The downscaled soil moisture with a spatial resolution of 1 km on a daily scale from 2015 to 2020 was produced based on 36km SMAP soil moisture data. The scale factor is 0.0001. The name of each image is its corresponding date (Julian day format, 'YYYYDDD').
DOI: 10.6084/m9.figshare.18945248.v1
title: Climate, land cover and topography: essential ingredients in predicting wetland permanence

description: We built models to compare the relative influence of climate, land cover/land use and topography on wetlands in the Prairie Pothole Region of Alberta. To represent these three drivers, we used 19 variables, which were selected based on a literature review; following, we excluded variables that had more than a 0.8 correlation. <br>Here, we prove: 1) the data we used for all three models and 2) our R code for parameter optimization and model building. We share the code using a Jupyter notebook, and the data are in he form of an csv file. In t the data, the column "Level" indicates whether the data was used in the training vs Test, and the column Region, indicates which of the three Natural Regions that data belong to.
DOI: 10.1594/pangaea.928394
title: Measurements of net soil-atmosphere carbon dioxide exchange and its oxygen and carbon isotope composition in incubations of soil sampled from 44 sites in western Eurasia and northeastern Australia

description: Soils were sampled from 27 sites in western Eurasia during 2016 and 17 sites in northeastern Australia during 2017. Triplicate replicate microcosm incubations were created from homogenised soil from each site. The net soil-atmosphere exchange of carbon dioxide and its oxygen and carbon isotope composition between the soil and atmospheric was measured under two different headspace conditions using a custom built gas-exchange system. Subsequently the pH, microbial biomass and the availability of ammonium and nitrate were determined for incubated soils. An additional fertlisation experiment, consisting of a 0.7 mg addition of ammonium nitrate per gram of dry soil, was conducted on soils from 14 sites. The data from these incubations are reported along with the characteristics of the original sampling sites.
DOI: 10.17632/j39bw4rzsr.1
title: Earth system feedbacks following large-scale tropical forest restoration (code & data)