cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.947086
title: BENthic Foraminifera quantitative database from surface sediments of the Eastern Pacific (BENFEP_v1)

description: The BENFEP_v1 database contains georeferenced quantitative data of benthic foraminifera species from the Eastern Pacific surface sediments collated from 50 published and unpublished datasets. We consider one data as quantitative when the species abundance in an assemblage is provided as number of individuals (counts), relative abundance (percent) or density (number of individuals per volume unit). The taxonomy of benthic foraminiferal species is harmonized using the World Foraminifera Database (Hayward et al., 2022, last accessed on 22-12-08). Census data are provided in their original form and including with coded metadata (e.g., sampling devices, interval, type of assemblage, size fraction) to facilitate data analysis using different software.BENFEP_v1 is presented in short and in long format. In BENFEP_v1_short, foraminiferal entities (valid species or species identified to genus level) are provided as columns whereas in BENFEP_v1_long, foraminiferal entities are indicated in a single column. The long format integrates the taxonomic information extracted from WoRMS as well as the original authors' species designations which are provided in the related manuscript (Diz et al., doi:10.5194/essd-2022-324). Explanations about column names and column codes for BENFEP_v1_short and BENFEP_v1_long can be found in the companion files.
DOI: 10.1594/pangaea.947114
title: Additional benthic foraminiferal studies in the Eastern Pacific with non-quantitative data

description: This dataset lists metadata of georeferenced stations obtained from 31 published studies of benthic foraminifera from surface sediments of the Eastern Pacific between 1929 and 2019 .The publications included in the dataset do not contain tabulated quantitative species abundance data of benthic foraminifera assemblages. Explanations about column names and column codes can be found in the companion file.
DOI: 10.17632/jh8b2rh8nz.1
title: Dataset used to infer regional slope stability , NW Himalaya

description: The study area concerning the data set is located between the 31˚36′1″ N, 78˚26′ 47″ E and 31˚27′10″ N, 77˚38′ 20″ E in Satluj River valley, NW Himalaya. This region has been subjected to spatio-temporal varying tectonic stress, owing to continent-continent collision orogeny, resulting in a diverse set of joints. This data is a part of a larger dataset that was compiled to infer potential landslide damming in Satluj valley, NW Himalaya. The data set includes joint mapping data and values of input parameters that are used in the Finite Element Method based slope stability evaluation. Rock mass joint data was collected in the field. Rock/soil samples, collected from each landslide, were analysed in the National Geotechnical Facility and Wadia Institute of Himalayan Geology, India. These values were used in models to evaluate slope stability of different types of landslides. Procedure described in the relevant Indian Standard (IS) codes was followed for the laboratory analyses. Such data set can be utilized to infer the pattern of rock mass joints in continent-continent collision orogeny on regional scale. At slope level, it can be inferred as a controlling parameter. The values of input parameters used in the FEM models can be utilized as a reference for different types of rock mass and soil.
DOI: 10.17882/89150
title: Deep-water red shrimp fishery in the Eastern-Central Mediterranean Sea: AIS-observed monthly fishing effort and frequency over four years

description: Deep-sea fishery in the Mediterranean Sea was historically driven by the commercial profitability of deepwater red shrimps and understanding spatio-temporal dynamics of fishing is key to comprehensively evaluate the status of these profitable resources and prevent stock collapse. A four-year time series of AIS-based observed monthly patterns and related frequency of trawling disturbance are provided with a resolution of 0.01°*0.01°, accounting for the spatial extent and temporal variability in deep water bottom contact fisheries during the period 2015-2018. Fishing effort and vessel presence is measured in units of hours, while frequency between trawling events is given as average days between trawling events over the whole time series. The dataset covers 15 General Fisheries Commission for the Mediterranean (GFCM) management Geographical Sub Areas (GSAs) in the Eastern-Central Mediterranean Sea (GSAs 12-16 and 18-27) and was estimated from 370 fishing vessels that were found to perform trawling in deep water (400 m - 800 m). Analysis was based on terrestrial Automatic Identification System (poll frequency of 5 min, EU and non-EU vessels, AIS type = 30) and mostly performed applying the R scripts available in the R4AIS code repository Version v1.0.2 (https://github.com/MAPSirbim/AIS_data_processing/tree/v1.0.2). The work was carried out in the framework of the FAO GFCM deep water red shrimps Working Group, which supported in understanding the specific fishery and validated outcomes. This large-scale and high-resolution dataset may help researchers of many scientific fields, as well as those involved in fishery management and in the update of existing management plans for deep-water red shrimp fisheries as foreseen in relevant GFCM recommendations.
DOI: 10.21348/d.no.0003
title: Langet & Silverberg, 2023 – Data repository
DOI: 10.22022/em/06-2021.123
title: Supplementary Material to Quantifying Memory and Persistence in the Atmosphere–Land/Ocean Carbon System

description: The Supplementary Material download gives access to 1. the Supplementary Information (SI) file; and 2. the Supplementary Data (SD) file supporting the manuscript Quantifying memory and persistence in the atmosphere–land/ocean carbon system, submitted for publication as a research article in Earth Systems Dynamics (manuscript no. esd-2021-27). The SI file is a PDF document. It combines ten sections which provide full explanations of the mathematics used in the manuscript or other useful information allowing to keep the manuscript short and readable. The ten sections are referred to as Supplementary Information 1 to Supplementary Information 10 in the manuscript. The SD file is an Excel document. It consists of 16 worksheets which are referred to as Supplementary Data 1 to Supplementary Data 16 in the manuscript. The introductory worksheet (Supplementary Data Guide) provides a list of contents to guide a user through the 16 worksheets.
DOI: 10.23687/fbad665e-8ac9-4635-9f84-e4fd53a6253c
title: Biomass of trees sampled across Canada as part of the Energy from the Forest Biomass (ENFOR) Program

description: In the early 1980’s, thousands of trees were destructively sampled across Canada by the Canadian Forest Service (CFS) as part of the ENergy from the FORest research (ENFOR) program with the objective to produce regional biomass equations for the most common tree species. The sampling was overseen by researchers in each of the CFS’s five regional establishments.
            
            In the early 2000’s, following a request by Canada’s National Forest Inventory, the original ENFOR data was recovered from regional archives, assembled and homogenized for the purpose of creating national biomass equations for Canada’s most common tree species. The equations were published in two installments. The first (Lambert et al, 2005), covered all of Canada except British Columbia for which the ENFOR data had not been recovered at the time of publication. The second (Ung et al, 2008), contains equations for the British Columbia-specific species, and modified equations for other Canadian tree species that had also been sampled in British Columbia. These publications also contain detailed information about the original tree sampling and sample processing and the original ENFOR reports.
            
            This dataset contains the oven dry mass of four separate tree compartments for nearly 9,000 trees belonging to 33 different species. The four compartments are: stem wood, stem bark, branches, and foliage and twigs. Results of compilation, calculations and corrections are also contained in this dataset.
DOI: 10.25326/62
title: Radiosonde measurements from the EUREC4A field campaign

description: Ship and island-based radiosonde measurements collected during the EUREC4A field campaign from Jan 8, 2020, to Feb 19, 2020.
DOI: 10.26050/wdcc/ekf400_v2.0
title: Ensemble Kalman Fitting Paleo-Reanalysis Version 2 (EKF400_v2)

description: Project: Ensemble Kalman Fitting Paleo-Reanalysis - Assimilation of Instrumental Observations, Historical Climate Indices and Tree-Ring Data into an Atmospheric General Circulation Model in the Period 1600 to 2000 One of the backbones of numerical weather prediction is the assimilation of all available observations into models to achieve initial conditions close to reality. The assimilation idea also revolutionized climate research with reanalysis becoming the most important dataset for the last century. Recently, paleo-climatologist began developing new methodologies with the intention to assimilate sparse and temporally averaged proxy information instead of satellite data and instrumental observations. EKF400 is the first monthly resolved paleo-reanalysis covering the period 1603 to 2003. Early instrumental temperature and surface pressure observations, temperature indices derived from historical documents and temperature and moisture sensitive tree-ring proxies were assimilated into an ensemble of atmospheric general circulation model using a Kalman-filtering technique. The resulting paleo-reanalysis combines the advantage of traditional reconstruction methods of being as close a possible to observations with the advantage of climate models of being physically consistent and having 3-dimensional information about the state of the atmosphere through time and for various variables. We would like to thank the CSCS for their support in conducting the ECHAM simulations. The project was supported by the Swiss National Science Foundation Project REUSE and Stefan Brönnimann additionally by the EC FP7 project ERA-CLIM2. Summary: EKF400 version 2 is a monthly resolved paleo-reanalysis covering the period 1603 to 2003. Early instrumental temperature, surface pressure and precipitation (new in version 2) observations, temperature indices derived from historical documents and temperature and moisture sensitive tree-ring measurements (largely increased number in version 2) were assimilated into an atmospheric general circulation model ensemble using a Kalman filtering technique. This data set combines the advantage of traditional reconstruction methods of being as close as possible to observations with the advantage of climate models of being physically consistent and having 3-dimensional information about the global state of the atmosphere at 2x2 degree resolution for various variables and at all points in time. While version 1 was using time-dependent covariances from the 30-member ensemble, version 2 uses a blended covariance matrix. It consists of 50% time-dependent and 50% climatological covariances. This leads to a better covariance estimation, not only between various locations in space but in between various variables, too.
DOI: 10.26050/wdcc/rc2
title: ESCiMo / CCMI: future simulations scenario RCP6.0, SSTs/SICs from coupled HADGEM2-ES simulation and with interactive ocean, respectively. 1960-2100.

description: Project: Earth System Chemistry Integrated Modelling (ESCiMo) / Chemistry-Climate Modelling Initiative (CCMI) - The consortial project ESCiMo targets on coupled chemistry-climate-simulations using version 2.51 of the European Centre for Medium-Range Weather Forecasts – Hamburg (ECHAM)/Modular Earth Submodel System (MESSy) Atmospheric Chemistry (EMAC) model. The experiments are related to challenges of the DFG-Forschergruppe SHARP (Stratospheric Change and its Role for Climate Prediction) and the international IGAC/SPARC Chemistry-Climate Modelling Initiative (CCMI). The focus is on upcoming problems like climate change, ozone depletion, and air quality. The project aims on answering emerging questions of scientific, social and political relevance. Three types of reference simulations, as recommended by CCMI, have been performed: hindcast simulations (1950–2011), hindcast simulations with specified dynamics (1979–2013), i.e. nudged towards ECMWF ERA-Interim reanalysis data, and combined hindcast and projection simulations (1950–2100). Simulations have been performed with two different nudging setups, with and without interactive tropospheric aerosol, and with and without a coupled ocean model. Two different vertical resolutions have been applied. For further information see: - Jöckel et al., 2016: doi:10.5194/gmd-9-1153-2016 - Morgenstern et al., doi:10.5194/gmd-10-639-2017 - http://www.pa.op.dlr.de/~PatrickJoeckel/ESCiMo/ Simulations have been performed with two different nudging setups, with and without interactive tropospheric aerosol, and with and without a coupled ocean model. Two different vertical resolutions have been applied. The EMAC simulations have been performed at the DKRZ through support from BMBF. DKRZ and its scientific steering committee are gratefully acknowledged for providing the HPC and data archiving resources for the consortial project ESCiMo (Earth System Chemistry integrated Modelling). Summary: This experiment comprises 3 different simulations: - future simulations scenario RCP6.0 - model data output mostly as 10-hourly global snapshots, monthly averages or as monthly accumulated variables, on model levels or pressure levels, respectively RC2-base-04: SSTs/SICs: taken from coupled HADGEM2-ES simulation T42L90MA 1960-2099 RC2-base-05: same as RC2-base-04 but with resolution T42L47MA 1960-2099 RC2-oce-01: with interactive MPI ocean T42L47MA/GR30L40 1960-2100 For further studies based on simulations of the ESCiMo project and on the EMAC model please also refer to: https://www.atmos-chem-phys.net/special_issue812.html https://gmd.copernicus.org/articles/special_issue10_22.html https://www.atmos-chem-phys.net/special_issue22.html http://www.pa.op.dlr.de/~PatrickJoeckel/ESCiMo/publications/escimo_publications.html
DOI: 10.5067/aqua/airs/data208
title: Aqua AIRS L2 support product using AIRS IR-only V6
DOI: 10.5281/zenodo.12784397
title: Aqueous alteration as an origin of Martian magnetization

description: Aqueous alteration as an origin of Martian magnetization, for figures.
DOI: 10.5281/zenodo.4297926
title: Benefits of sea ice thickness initialization for the Arctic decadal climate prediction skill in EC-Earth3: data

description: Data used in Tian et al (2020) in GMD Discussion on Benefits of sea ice thickness initialization for the Arctic decadal climate prediction skill in EC-Earth3. Date are used to generate figures and to execute routines; path2data4sensitivity_experiment is a text file, which contains links to ORAS5 reanalysis data as well as initial conditions/results of the sensitivity experiments.
DOI: 10.5281/zenodo.4439605
title: Measurement report: Characterization of uncertainties of fluxes and fuel sulfur content from ship emissions at the Baltic Sea

description: This data submission is connected to a scientific paper submitted to<br> Atmospheric Chemistry and Physics ("Measurement report: Characterization of uncertainties of fluxes and fuel sulfur content from ship emissions at the Baltic Sea" by Walden et al.). It consists of measurement results conducted beside the ship routs at the Baltic Sea near Helsinki, Finland. The gaseous and particle concentrations were measured along with the meteorological parameters, and the fluxes were calculated by the micrometeorological methods. The content of sulfur in the marine fuel, FSC, used by the passing ships was also calculated. We paid attention to calculate the uncertainties of the measurement results, both for the fluxes and for the FSC. The released data of:<br> 1. Gases, particles and met data (SO<sub>2</sub>, NO, NO<sub>2</sub>, O<sub>3</sub>, CO<sub>2</sub>, and N<sub>tot</sub> (number concentration of nanoparticles) as minute values. Data_ACP_Fig4_acbd.xlsx. <br> 2. Size distribution of nanoparticles (number concentration of nanoparticles at size class). Data_ACP_Fig6.xlsx <br> 3. Profiles of 30 min averages of gases, nanoparticles and meteorological parameters (SO<sub>2</sub>, NO, NO<sub>2</sub>, O<sub>3</sub>, CO<sub>2</sub>, and N<sub>tot</sub> (number concentration of nanoparticles), wind direction and wind speed, friction velocity, stability parameter and Monin-Obukhov length. Calculated values of atmospheric turbulence parameters and calculated fluxes of CO2 and nanoparticles by gradient and/or eddy covariance method. Data_ACP_Fig8_abcd_Fig9_abcd.xlsx<br> <br> 4. CO2 fluxes by Eddy covariance method from land based and sea based measurements. Concentration of CO2 in seawater and in air. Data_ACP_Fig10_ab.xlsxEngl
description: The measurements were carried out during the SNOOP project, financed by the Cental Baltic INTERREG IV A Programme 2007–2013 and the Centre for Economic Development, Transport and the Environment (ELY) of Southwest Finland. This project has also received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement #814893 (SCIPPER project).
DOI: 10.5281/zenodo.5502275
title: A Daily near-surface Air Temperature Dataset for China from 1979 - 2018

description: The CDAT dataset contains near-surface air temperature data for China during the period of 1979-2018, in Celsius, daily temporal (T<sub>max</sub>, T<sub>min</sub>, T<sub>avg</sub>), and 0.1º spatial resolution. This product integrates multiple data sources such as reanalysis data (ERA5, CMFD), remote sensing data (MODIS), and in situ data, and is obtained by combining the temperature strategy to distinguish between clear sky and non-clear sky weather conditions. It is proved that this dataset has high accuracy and can be used in the further study of regional climate change.
DOI: 10.5281/zenodo.5513811
title: A Daily near-surface Air Temperature Dataset for China from 1979 - 2018

description: The CDAT dataset contains near-surface air temperature data for China during the period of 1979-2018, in Celsius, daily temporal (T<sub>max</sub>, T<sub>min</sub>, T<sub>avg</sub>), and 0.1º spatial resolution. This product integrates multiple data sources such as reanalysis data (ERA5, CMFD), remote sensing data (MODIS), and in situ data, and is obtained by combining the temperature strategy to distinguish between clear sky and non-clear sky weather conditions. It is proved that this dataset has high accuracy and can be used in the further study of regional climate change.
DOI: 10.5281/zenodo.5800110
title: Sea ice satellite and model data between October 2014 and December 2015

description: These images contain monthly averages for Arctic sea ice concentration and thickness between October 2010 and December 2015 from two simulations, one with the TOPAZ4 ocean-sea ice data assimilation system (Sakov et al., 2012 and https://resources.marine.copernicus.eu/?option=com_csw&view=details&product_id=ARCTIC_REANALYSIS_PHYS_002_003) and another with the S4K Arctic regional model. Image names are self-explanatory. Images with S4K results include a rectangle delimiting S4K domain, inserted in the larger TOPAZ4 domain. This was done to emphasize the transition between the two models, where the latter provides the boundary conditions to the former.
description: {"references": ["Sakov, P., Counillon, F., Bertino, L., Lisaeter, K. A., Oke, P. R., and Korablev, A.: TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic, Ocean Sci, 8, 633-656, doi:10.5194/os-8-633-2012, 2012.", "Dinessen, F., Hackett, B.; Product user manual for regional high resolution sea ice charts Svalbard region SEAICE_ARC_SEAICE_L4_NRT_OBSERVATIONS_011_002 (version 2.3). Copernicus. https://cmems-resources.cls.fr/documents/PUM/CMEMS-OSI-PUM-011-002.pdf, 2016.", "Hendricks, S. and Ricker, R.: Product User Guide & Algorithm Specification: AWI CryoSat-2 Sea Ice Thickness (version 2.3), https://epic.awi.de/id/eprint/53331/, 2020.", "Ricker, R., Hendricks, S., Kaleschke, L., Tian-Kunze, X., King, J., and Haas, C.: A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data, The Cryosphere, 11, 1607-1623, https://doi.org/10.5194/tc-11-1607-2017, 2017."]}
DOI: 10.5281/zenodo.7389812
title: Recently fixed carbon fuels microbial activity several meters below the soil surface

description: This data file (Scheibe_2022.xlsx) contains radiocarbon data of bulk soil carbon and CO<sub>2</sub> respired in incubations from soil profiles in three climate zones (arid, mediterranean, and humid) of the Costal Cordillera of Chile down to a depth of six meters. Variable descriptions are provided in Template Info File. The data are part of a study, which investigates how soil microbial carbon cycling affects soil formation especially in the critical zone by understanding the carbon source of microbial activity in deep soil. The study was conducted within the framework of the Deep EarthShape priority program funded by the German Science Foundation (DFG-SPP 1803).
DOI: 10.5281/zenodo.7609524
title: Concentrations of dissolved dimethyl sulfide (DMS), methanethiol and other trace gases in context of microbial communities from the temperate Atlantic to the Arctic Ocean

description: This archive contains bioinformatic code and data files to reproduce bacterial analyses from Gros et al. (Biogeosciences; https://doi.org/10.5194/bg-2022-150). In this study, seawater samples collected along an Atlantic-Arctic transect (55-80°N) were evaluated for microbial community composition and trace gas concentrations. Microbes were sampled underway using "AUTOFIM" automatic filtration; and bacterial communities amplicon-sequenced using 16S rRNA gene primers. Raw sequence data is available at ENA under BioProject PRJEB50492.


The archive contains:
  - Rmarkdown for primer-clipping, ASV generation and taxonomy assignment: 1_DADA.Rmd
  - Rscript for ASV and metadata processing; alpha-diversity calculations: 2_DataLoad.R
  - Rscript for generation of manuscript figures: 3_Results.R
  - Rscript for generation of supplementary figures: 4_Supplement.R
  - Metadata and environmental parameters as .txt files
DOI: 10.5281/zenodo.7727092
title: Brief Communication: Monitoring active layer dynamic using a lightweight nimble Ground-Penetrating Radar system. A laboratory analog test case

description: GPR dataset from Leger et al., 2023 (https://tc.copernicus.org/preprints/tc-2022-214/)
DOI: 10.5282/ubm/data.301
title: Assets to Jäger et al.: Robust poleward jet shifts in idealised baroclinic-wave life-cycle experiments with noisy initial conditions
DOI: 10.57780/en1-b655562
title: Envisat GOMOS Level 2 - Atmospheric constituents profiles [GOM_NL__2P]

description: Envisat GOMOS Level 2 - Atmospheric constituents profiles [GOM_NL__2P]
DOI: 10.6084/m9.figshare.14946177.v1
title: daily_temperature.asc

description: This file is the daily mean temperature of the Detroit Plateau (DP) constructed by interpolating the daily mean of temperature from the stations surrounding DP.