cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/wdcc/wrf60_mpiesm_hist
title: WASCAL WRF60km with MPI-ESM_MR r1i1p1 forcing from the CMIP5 historical experiment

description: Project: West African Science Service Centre on Climate Change and Adapted Land Use - With climate change being one of the most severe challenges to Africa in the 21st century, West Africa is facing an urgent need to develop effective adaptation and mitigation measures. WASCAL (West African Science Service Centre on Climate Change and Adapted Land Use, http://www.wascal.org) is a large-scale research-focused Climate Service Centre designed to help tackle this challenge and thereby enhance the resilience of human and environmental systems to climate change and increased variability. It does so by strengthening the research infrastructure and capacity in West Africa related to climate change and by pooling the expertise of ten West African countries and Germany. Funded by the German Federal Ministry of Education and Research (BMBF), WASCAL is implemented in a collaborative effort by West African and German partners. An integral part of its climate services is the provisioning of a new set of high resolution, ensemble-based regional climate change scenarios for the region of West Africa. An ensemble approach is chosen to address model uncertainties and provide statistical estimates on possible future climate change scenarios. The ensemble is composed of three regional climate models, WRFV3.5.1, COSMO-CLM 4.18, and REGCM4. Three Earth System Models from the CMIP5 project are downscaled by each of the regional models, MPI-ESM, GFDL-ESM2M, and HadGEM2-ES for the historical period from 1980 to 2010 and for the RCP4.5 scenario from 2020 to 2050 and from 2070 to 2100. Control runs are created by downscaling the European Centre for Medium-Range Weather Forecasts ERA-Interim re-analysis from 1980 to 2014. Two sets of resolutions are made available, 60km and 12km, for a large domain covering the greater region of West Africa from 25W to 25E and 5S to 25N. Summary: This experiment uses 'CMIP5 MPIESM r1i1p1 historical' forcing data for downscaling to 60km resolution by the regional model WRFV3.5.1 for the region of West Africa. 'historical' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). 3.2 historical (3.2 Historical) - Version 1: Simulation of recent past (1850 to 2005). Experiment design:https://cera-www.dkrz.de/WDCC/ui/Entry.jsp?acronym=Taylor_CMIP5_design.pdf . This experiment is divided into several time slices of 11 years. The first year of each time slice is used as a spin-up phase and should not be used in the analysis. All experiments with MPIESM forcing refer to a Gregorian calendar. The 60 km resolution of this experiment is an intermediate step to the 12km downscaling WRF experiment.
DOI: 10.1594/wdcc/wrf60_mpiesm_rcp45
title: WASCAL WRF60km with MPI-ESM_MR r1i1p1 forcing from the CMIP5 RCP4.5 experiment

description: Project: West African Science Service Centre on Climate Change and Adapted Land Use - With climate change being one of the most severe challenges to Africa in the 21st century, West Africa is facing an urgent need to develop effective adaptation and mitigation measures. WASCAL (West African Science Service Centre on Climate Change and Adapted Land Use, http://www.wascal.org) is a large-scale research-focused Climate Service Centre designed to help tackle this challenge and thereby enhance the resilience of human and environmental systems to climate change and increased variability. It does so by strengthening the research infrastructure and capacity in West Africa related to climate change and by pooling the expertise of ten West African countries and Germany. Funded by the German Federal Ministry of Education and Research (BMBF), WASCAL is implemented in a collaborative effort by West African and German partners.

 An integral part of its climate services is the provisioning of a new set of high resolution, ensemble-based regional climate change scenarios for the region of West Africa. An ensemble approach is chosen to address model uncertainties and provide statistical estimates on possible future climate change scenarios. The ensemble is composed of three regional climate models, WRFV3.5.1, COSMO-CLM 4.18, and REGCM4. Three Earth System Models from the CMIP5 project are downscaled by each of the regional models, MPI-ESM, GFDL-ESM2M, and HadGEM2-ES for the historical period from 1980 to 2010 and for the RCP4.5 scenario from 2020 to 2050 and from 2070 to 2100. Control runs are created by downscaling the European Centre for Medium-Range Weather Forecasts ERA-Interim re-analysis from 1980 to 2014. Two sets of resolutions are made available, 60km and 12km, for a large domain covering the greater region of West Africa from 25W to 25E and 5S to 25N.
Summary: This experiment (2006-2100) uses 'CMIP5 MPIESM r1i1p1 rcp45' forcing data for downscaling to 60km resolution by the regional model WRFV3.5.1 for the region of West Africa. 'rcp45' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (http://cmip-pcmdi.llnl.gov/cmip5/). 4.1 rcp45 (4.1 RCP4.5) - future projection (2006-2300) forced by RCP4.5. Experiment design: https://cera-www.dkrz.de/WDCC/ui/Entry.jsp?acronym=Taylor_CMIP5_design.pdf .
This experiment is divided into several time slices of 11 years. The first year of each time slice is used as a spin-up phase and should not be used in the analysis. All experiments with MPIESM forcing refer to a Gregorian calendar. The 60 km resolution of this experiment is an intermediate step to the 12km downscaling WRF experiment.
DOI: 10.17632/94ztxrz6vy.1
title: Tactile-Based Robotic Peg Extraction Dataset

description: This dataset provides robotic and tactile sensor data captured using two multi-modal tactile sensing (BioIn-Tacto [1, 2]) modules mounted on the end-effector of an OpenManipulator X. The sensor includes barometric and MARG (Magnetic, Angular Rate, and Gravity) data to support research in tactile manipulation. The dataset was collected in teleoperation experiments involving the extraction of differently shaped pegs from a base with holes using a robotic manipulator arm. The total number of extraction episodes in the dataset is 96. The dataset also includes Reinforcement Learning pre-trained data. The dataset can be used to pre-train a reinforcement learning model to perform peg-in-hole tasks and to study how pre-training affects a manipulator’s ability to infer tactile signals and improve success rates of the manipulator. 

The data is organized into folders representing each object runs:

Data/
 └RL/
 │ └Object&lt;1|2|3|&gt;
 │ └recordstep__object&lt;1|2|3&gt;_pretained_.csv
 └Teleop/
 ├csv2dataframe.py
 ├README.md
 └──csv/
 └Object&lt;1|2|3|&gt;/
 └robot_O&lt;1|2|3&gt;_T_A&lt;0|45|90|135|180&gt;_/
 ├imu1_data_raw.csv
 ├imu1_mag.csv
 ├imu2_data_raw.csv
 ├imu2_mag.csv
 ├imu_data1.csv
 ├imu_data2.csv
 ├joint_states.csv
 ├m_baros_serial1.csv
 ├m_baros_serial2.csv
 ├pressure_viz_left.csv
 ├pressure_viz_right.csv
 ├raw_barometers_teensy1.csv
 ├raw_barometers_teensy2.csv
 ├raw_imu_teensy1.csv
 ├raw_imu_teensy2.csv
 ├robot_instruction.csv
 ├tf.csv
 └tf_static.csv

- csv2dataframe.py: Converts the data into dataframes
- Object&lt;1|2|3|&gt;/: Three folders with data from each object
- recordstep__object&lt;1|2|3&gt;_pretained_: Files with RL data for each object.
- robot_O&lt;1|2|3&gt;_T_A&lt;0|45|90|135|180&gt;_/: Data dollected from each object at different angles.

[1] T. E. Alves de Oliveira, A. -M. Cretu and E. M. Petriu, "Multimodal Bio-Inspired Tactile Sensing Module," in IEEE Sensors Journal, vol. 17, no. 11, pp. 3231-3243, 1 June1, 2017, https://doi.org/10.1109/JSEN.2017.2690898. 
[2] T. E. Alves de Oliveira, V. Prado da Fonseca, BioIn-Tacto: A compliant multi-modal tactile sensing module for robotic tasks, HardwareX, Volume 16, 2023, e00478, ISSN 2468-0672, https://doi.org/10.1016/j.ohx.2023.e00478.
DOI: 10.17909/b4vg-pa17
title: HST Observations

description: HST ACS/WFC observations of AT2023tkw
DOI: 10.17909/ea2v-0g53
title: Sh 2-284

description: JWST NIRCam imaging data for Sh 2-284
DOI: 10.20350/digitalcsic/7393
title: SPREAD (Spanish PREcipitation At Daily scale)

description: The dataset is freely available on the web repository of the Spanish National Research Council (CSIC). There are 6 files in NetCDF format: 3 with precipitation estimations (pcp_) and 3 with standard errors (err_) of each estimation. Each of 3 files represent peninsular Spain (pen_), Balearic islands (bal_) and Canary islands (can_).
description: Spanish PREcipitation At Daily scale (SPREAD) is a new daily gridded precipitation dataset for Spain. It covers the whole territory of peninsular Spain and Balearic and Canary Islands at a 5x5 kilometre spatial resolution. Daily precipitation was estimated for each point of the grid from 1950-01-01 to 2012-12-31 in peninsular Spain and from 1971-01-01 to 2012-12-31 in the Balearic and Canary Islands. The grid was built using a previously reconstructed station-based dataset using reddPrec package (https://cran.r-project.org/web/packages/reddPrec). The observed precipitation information comprised 12,858 stations provided by Spanish Meteorological Agency (AEMET); Ministry of Agriculture and Environment (MAGRAMA); Meteorologic Service of Catalonia (METEOCAT); Navarra Government and several hydrological confederations.
DOI: 10.5066/f77s7mrp
title: Spatial data used in the study of the characterization and evaluation of controls on post-fire streamflow response across western US watersheds
DOI: 10.5067/8q93sat2lg3q
title: Pre-IceBridge ATM L1B Qfit Elevation and Return Strength, Version 1
DOI: 10.5067/zro7exj8o3xi
title: SMAP Enhanced L3 Radiometer Global Daily 9 km EASE-Grid Soil Moisture, Version 1
DOI: 10.5281/zenodo.11117573
title: Whittier_CH2O_NO2_MAXDOAS_20200326

description: INSTRUMENT: Airyx Skyspec Compact 150

PLATFORM:   Whittier College, Science and Learning Center

LOCATION:   Latitude: 33.97680° North

                     Longitude: 118.03040° West

                     Elevation: 130.0 Meters

AUTHORS:    Peter Peterson

            Department of Chemistry

            Whittier College

            13406 E. Philadelphia St. Whittier, CA 90602, USA

            email: ppeterso@whittier.edu

            phone: +1 (562) 907-5149

 

The files are comma-delimited text files with explanatory column headers defined below. 

 

We welcome collaborations and are excited about working with others to make discoveries regarding atmospheric chemistry in eastern Los Angeles county. These data are ground-based NO2 and HCHO remote sensing measurements collected by the Peterson group at Whittier College. If the data are downloaded for the purpose of scientific publication, we should be informed of the possible use of the data so we work with this group and ensure the data are being used appropriately.  If the work leads to publishable findings, we will work with collaborating scientists to determine if co-authorship or acknowledgement is appropriate.  

 

All date and time stamps are in UTC and are the starting time of the retrieval period which utilizes spectra collected over 30 min; hence the times are the midpoint of the measurement. 

 

These data files contain NO2 and HCHO retrievals from spectra collected using a commercial MAX-DOAS instrument. This instrument and DOAS fitting procedure are detailed in:

 

The retrieval of vertical profiles from spectral data is done using HEIPRO which is described in: 

Yilmaz, S. (2012). Retrieval of Atmospheric Aerosol and Trace Gas Vertical Profiles using Multi-Axis Differential Optical Absorption Spectroscopy. University of Heidelberg. Retrieved from http://archiv.ub.uni-heidelberg.de/volltextserver/id/eprint/13128

 



The file columns and units are described below: 

== Column descriptions for metadata ==Date: MM/DD/YYYY HH:MM (UTC)(NO2 or HCHO)_VCD,molec cm^-2, Vertical Column DensityErr_(NO2 or HCHO)_VCD,molec cm^-2,UncertaintyData,Vertical Column Densitysurf_vmr,ppbv,NO2 or HCHO,Nitrogen Dioxide or Formaldehyde Volume Mixing Ratiovmr_m_err,ppbv,UncertaintyData,Volume Mixing RatioDOFS, integer, Degrees of Freedomf_two, dimensionless, fraction of retrieved column in lowest 200 mprof, ppmv, vertical profile of average vmr in 40 100 m layers
DOI: 10.5281/zenodo.14585029
title: Data for "Room-temperature anisotropic in-plane spin dynamics in graphene induced by PdSe2 proximity"

description: This repository contains the source data from all experiments presented in this paper.

====

Each Excel file is named after the corresponding figure number and is organized into sheets, with each sheet representing a specific panel of the figure. The sheets are labeled with the figure and panel names.
DOI: 10.5281/zenodo.5121824
title: Gridded airborne laserscanner (ALS) elevation data (L4) for three flights during MOSAiC (prerelease)

description: An integrated sensor platform including an inertial navigation system (INS) and a commercial (Riegl VQ580) airborne laser scanner (ALS) among other sensor was mounted in the cargo compartment in one of the Polarstern helicopters (D-HARK) during MOSAiC. This sensor combinations allows for a precise mapping of the snow and sea-ice surface around Polarstern at submeter-scale resolution. Information from the ALS data includes the elevation of the snow or ice surface and surface reflectivity at the near-infrared wavelength. From the more than 60 flights acquired between October 2019 and September 2020 we prerelease with this gridded data-set three flights for quality-control and test purposes by potential end users. The geographical coordinates of the data have been corrected for the drift of the sea-ice cover during each survey flight and the elevation bias has been corrected based on overlapping flight transects. <em>Flight dates (Device Operation):</em> Oct. 2, 2019 (PS122/1_2-57) Apr 8, 2020 (PS122/3_35-49) July 22, 2020 (PS122/4_48-69) <em>Variables (file format: netCDF version 4 and geotiffs):</em> <strong>Elevation:</strong> elevation of the sea ice or snow surface above WGS84 ellipsoid <strong>Reflectance:</strong> range corrected target echo amplitude <strong>Echo Width:</strong> width of the target echo return (full width at half maximum) <em>Project</em> ALS and INS data was collected as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 and the Project_ID: AWI_PS122_00. Data processing and analysis is funded by the BMBF IceSense (03F0866A) project.
description: ALS and INS data was collected as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 and the Project_ID: AWI_PS122_00. Data processing and analysis is funded by the BMBF IceSense (03F0866A) project.
DOI: 10.5285/4fe11286-0e53-4a03-854c-a79a44d1e356
title: Timeseries from GPS units deployed on ice streams and the adjoining ice shelf across the Filchner-Ronne region, Antarctica, 2005-2016

description: This is a collection of GPS data from dual-frequency GPS units deployed on the Filchner-Ronne Ice Shelf and adjoining ice streams.  Filenames contain ice stream code and, in some cases, where the ice stream code is followed by a plus or minus sign, the approximate distance in kilometres upstream from the ice stream's grounding line, although in other cases the number is arbitrary.  The naming convention has been preserved for legacy reasons.  The ice streams are Evans (E & XX), Rutford (R), Institute (IIS), Talutis (T & TT) and Foundation (H) ice streams.

Each GPS unit's data are given in a netCDF4_classic file containing 4 columns: "Date number", as the number of days from January 0, 0000 in the proleptic ISO calendar; "Latitude" & "Longitude", both in decimal degrees in the WGS 1984 EPSG:4326 co-ordinate system; "height", in metres above the reference ellipsoid.  The data have been collated from daily files, processed using the Bernese 5.0 software, using precise point positioning at intervals of 30 seconds.  Note that data have not been corrected for inverse barometer or ocean tide loading effects.

These data were collected as part of a systemic campaign to look for modulation in ice flow through ocean tidal forcing.  The vertical tidal motion of floating ice shelves generates stresses which cause a change in horizontal ice velocity at periods of hours to years. These signals can travel far upstream of ice stream grounding lines and often exhibit a change in frequency from the astronomical tides that generate them. As such, they can act as a natural experiment with which we can learn about ice rheology and subglacial processes.
DOI: 10.5517/ccdc.csd.cc1q9tmg
title: CCDC 1588366: Experimental Crystal Structure Determination

description: Related Article: Vinayak Kamat|2020|CSD Communication|||
DOI: 10.6084/m9.figshare.28266740
title: Protein structure and interactions elucidated with in-cell NMR for different cell cycle phases and in 3D human tissue models.

description: Source data: Raw in-cell NMR data in BRUKER format.
DOI: 10.6092/6ad9b1e6-c977-cec9-8a2d-db10c7f90adc
title: Bathymetric and Holocen base and sediment thickness maps in the Gulf of Trieste (N-Adriatic Sea)

description: Bathymetric and Holocen base and sediment thickness maps in the Gulf of Trieste (N-Adriatic Sea)
DOI: 10.7289/v51834db
title: NOAA Atmospheric Carbon Dioxide Mole Fractions from American Samoa Observatory

description: This data set contains continuous measurements of atmospheric carbon dioxide mole fractions from the NOAA/ESRL observatory at American Samoa. Data are expressed in hourly, daily and monthly averages in units of micromole/mole for the time period of 1976-2013. Data are archived at the NOAA National Climatic Data Center (NCDC), but are produced and available from NOAA Earth System Research Laboratory (ESRL).
DOI: 10.7289/v51j97p6
title: NOAA Climate Data Record (CDR) of Solar Spectral Irradiance (SSI), NRLSSI Version 2 (Version Superseded)

description: *Note: This dataset version has been superseded by a newer version. It is highly recommended that users access the current version. Users should only use this version for special cases, such as reproducing studies that used this version.* This Climate Data Record (CDR) contains solar spectral irradiance (SSI) as a function of time and wavelength created with the Naval Research Laboratory model for spectral and total irradiance (version 2). Solar spectral irradiance is the wavelength-dependent energy input to the top of the Earth's atmosphere, at a standard distance of one Astronomical Unit from the Sun. Its units are W per m2 per nm. Also included is the value of total (spectrally integrated) solar irradiance in units W per m2. The dataset was created by Judith Lean (Space Science Division, Naval Research Laboratory), Odele Coddington and Peter Pilewskie (Laboratory for Atmospheric and Space Science, University of Colorado). The daily- and monthly-averaged SSI data range from 1882 to the present, and annual-averaged SSI data begin in 1610. The data file format is netCDF-4 following CF metadata conventions. The dataset is accompanied by algorithm documentation, data flow diagram and source code for the NOAA CDR Program.
DOI: 10.17026/dans-zc7-7549
title: Bayesian integration of flux tower data into process-based simulator for quantifying uncertainty in simulated output

description: This research implemented a Bayesian statistical method to calibrate a widely used process-based simulator BIOME-BGC against estimates of gross primary production (GPP) data. Six parameters of BIOME-BGC were calibrated, which were also allowed to vary month-by-month to investigate the hypothesis that the phenology exhibited a seasonal cycle that was not accurately reproduced by the simulator. Time varying parameters substantially improved the simulated GPP as compared to GPP obtained with constant parameters.
DOI: 10.17882/53945
title: Biogeochemical data at a Mediterranean mussel farm, Northern Adriatic Sea

description: The database presents the field data used within the study carried out in the north-western Adriatic Sea (Brigolin et al., 2018, Biogeosciences https://doi.org/10.5194/bg-2017-206). A longline mussel farm was taken as a local source of perturbation to the natural Particulate Organic Carbon (POC) downward flux. This flux was first quantified by means of a pelagic model of POC deposition coupled to sediment traps data, and its effects on sediment bioirrigation capacity and OM degradation pathways were investigated constraining an early diagenesis model by using original data collected in sediment porewaters. The measurements were performed at stations located inside and outside the area affected by mussel farm deposition.
DOI: 10.48329/my9s-4x08
title: CPRD Aurum March 2022

description: The CPRD Aurum database contains longitudinal routinely-collected electronic health records (EHR data) from UK primary care practices using EMIS Web® general practice patient management software. The database captures information on demographic characteristics; diagnoses and symptoms; drug exposures; vaccination history; laboratory tests; and referrals to hospital and specialist care. Access to anonymised data from CPRD is subject to a full licence agreement containing detailed terms and conditions of use. Anonymised patient datasets can be extracted for researchers against specific study specifications, following protocol approval. Further information is available at https://www.cprd.com/data-access.
DOI: 10.5067/dhc0hdlzq184
title: RAMP AMM-1 SAR Image Mosaic of Antarctica, Version 1
DOI: 10.5281/zenodo.579979
title: Observations Of Snowpack Distribution And Meteorological Variables At The Izas Experimental Catchment (Spanish Pyrenees) From 2011 To 2016

description: We present a climatic dataset acquired at Izas Experimental Catchment, in the Central Spanish Pyrenees, from 2011 to 2016 snow seasons. The dataset includes information on different meteorological variables acquired with an Automatic Weather Station including precipitation, air temperature, incoming and reflected short and long-wave radiation, relative humidity, wind speed and direction, atmospheric air pressure, surface temperature (snow or soil surface) and soil temperature; all of them at 10 minute intervals. Snow depth distribution was measured during 23 field campaigns using a Terrestrial Laser Scanner (TLS), and there are also available time-lapse photographs from which can be derived daily information of different variables such as the Snow Covered Area. The experimental site is located in the southern side of the Pyrenees between 2000 and 2300 m above sea level with an extension of 55 ha. The site is a good example of sub-alpine ambient of mid-latitude mountain ranges. Thus, the dataset has a great potential for understanding environmental processes from a hydrometerological or ecological perspective in which snow dynamics play a determinant role
DOI: 10.5281/zenodo.926064
title: Inputs Folder Contents For Detect Model V1.0

description: These files contain the inputs for running the soil CO2 and transport DETECT model v1.0.  The model is described in the paper:

Ryan, E. M., K. Ogle, H. Kropp, Y. Carrillo, K. E. Samuels-Crow, E. Pendall (in review) Modelling soil CO2 production and transport with dynamic source and diffusion terms: Testing the steady-state assumption using DETECT v1.0<em>. </em>In Geoscientific Model Development.