cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3738175
title: National Severe Storms Laboratory Mobile Mesonet data files from Lapse-Rate

description: This dataset includes files from the National Severe Storms Laboratory mobile mesonets operated during the LAPSE-RATE field campaign. Daily files from each operation day are uploaded, along with a readme file explaining the format and processing. Version 2 Notes: The original version of this upload contained files with incorrect QC flags. While the core data is correct, the QC flags can be useful for determining specific areas of interest or problems. After identifying this issue, the files were reprocessed to include the correct QC flags and were uploaded to the archive as Version 2. Any questions should be directed to sean.waugh@noaa.gov.
DOI: 10.13026/c29g60
title: The BIDMC Congestive Heart Failure Database

description: This database includes long-term ECG recordings from 15 subjects (11 men, aged 22 to 71, and 4 women, aged 54 to 63) with severe congestive heart failure (NYHA class 3–4). This group of subjects was part of a larger study group receiving conventional medical therapy prior to receiving the oral inotropic agent, milrinone. Further details about the larger study group are available in the first reference cited above. A number of additional studies have made use of these recordings; see the additional references below.

The individual recordings are each about 20 hours in duration, and contain two ECG signals each sampled at 250 samples per second with 12-bit resolution over a range of ±10 millivolts. The original analog recordings were made at Boston's Beth Israel Hospital (now the Beth Israel Deaconess Medical Center) using ambulatory ECG recorders with a typical recording bandwidth of approximately 0.1 Hz to 40 Hz. Annotation files (with the suffix .ecg) were prepared using an automated detector and have not been corrected manually.
DOI: 10.13026/c2f598
title: Congestive Heart Failure RR Interval Database

description: This database includes beat annotation files for 29 long-term ECG recordings of subjects aged 34 to 79, with congestive heart failure (NYHA classes I, II, and III). Subjects included 8 men and 2 women; gender is not known for the remaining 21 subjects. The original ECG recordings (not available) were digitized at 128 samples per second, and the beat annotations were obtained by automated analysis with manual review and correction.
DOI: 10.14291/tccon.ggg2014.eureka01.r3
title: TCCON data from Eureka (CA), Release GGG2014.R3

description: <br> The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This data set contains observations from the TCCON station at Eureka, Canada.
description: <br>Cite this record as:<br>Strong, K., Roche, S., Franklin, J. E., Mendonca, J., Lutsch, E., Weaver, D., Fogal, P. F., Drummond, J. R., Batchelor, R., & Lindenmaier, R. (2019). <i>TCCON data from Eureka (CA), Release GGG2014.R3</i> (Version R3) [Data set]. CaltechDATA. https://doi.org/10.14291/TCCON.GGG2014.EUREKA01.R3<br> or choose a different citation style.<br>Download Citation<br>
description: <br>Unique Views: 266<br>Unique Downloads: 14<br> between January 31, 2019 and July 12, 2021<br>More info on how stats are collected<br>
DOI: 10.1594/pangaea.230042
title: Accumulation rates of bulk sediment and opal in surface sediments of the South Atlantic

description: A set of 114 samples from the sediment surface of the Atlantic, eastern Pacific and western Indian sectors of the Southern Ocean has been analyzed for 230Th and biogenic silica. Maps of opal content, Th-normalized mass flux, and Th-normalized biogenic opal flux into the sediment have been derived. Significant differences in sedimentation patterns between the regions can be detected. The mean bulk vertical fluxes integrated into the sediment in the open Southern Ocean are found in a narrow range from 2.9 g/m**2 yr (Eastern Weddell Gyre) to 15.8 g/m**2 yr (Indian sector), setting upper and lower limits to the vertically received fraction of open ocean sediments. The silica flux to sediments of the Atlantic sector of the Southern Ocean is found to be 4.2 ± 1.4 * 10**11 mol/yr, just one half of the last estimate. This adjustment represents 6% of the output term in the global marine silica budget.
description: Supplement to: Geibert, Walter; Rutgers van der Loeff, Michiel M; Usbeck, Regina; Gersonde, Rainer; Kuhn, Gerhard; Seeberg-Elverfeldt, Jens (2005): Quantifying the opal belt in the Atlantic and southeast Pacific sector of the Southern Ocean by means of 230Th normalization. Global Biogeochemical Cycles, 19(4), GB4001
DOI: 10.1594/pangaea.784101
title: Helicopter-borne sea ice thickness measurements during ARANDA campaign IRIS 2005 from flight HEM_IRIS05_02
DOI: 10.1594/pangaea.784102
title: Helicopter-borne sea ice thickness measurements during ARANDA campaign IRIS 2005 from flight HEM_IRIS05_03
DOI: 10.1594/pangaea.784107
title: Helicopter-borne sea ice thickness measurements during ARANDA campaign IRIS 2005 from flight HEM_IRIS05_06a
DOI: 10.1594/pangaea.784108
title: Helicopter-borne sea ice thickness measurements during ARANDA campaign IRIS 2005 from flight HEM_IRIS05_06b
DOI: 10.1594/pangaea.784109
title: Helicopter-borne sea ice thickness measurements during ARANDA campaign IRIS 2005 from flight HEM_IRIS05_07
DOI: 10.1594/pangaea.784168
title: Helicopter-borne sea ice thickness measurements during campaign IRIS 2003 from flight HEM_IRIS03_09
DOI: 10.1594/pangaea.786883
title: Counts of fish species from trawl and dredge samples in the eastern Weddell Sea and at the Antarctic Peninsula during POLARSTERN cruise ANT-III/3

description: Depth, water is the mean sample depth.
DOI: 10.1594/pangaea.834061
title: Abundance of macrozoobenthos in surface sediments sampled during Walther Herwig II cruise WH068/1

description: Depth = penetration depth of gear (max = 45 cm).
DOI: 10.1594/pangaea.874567
title: Basic and other measurements of radiation at Neumayer Station (2017-01)
DOI: 10.1594/pangaea.879820
title: High resolution radiosonde measurements from station Ny-Ålesund (2017-05)
DOI: 10.1594/pangaea.879822
title: High resolution radiosonde measurements from station Ny-Ålesund (2017-06)
DOI: 10.1594/pangaea.889435
title: Near-surface atmospheric humidity data from a mesoscale meteorological network in the foothills of the Canadian Rocky Mountains, 2005-2010

description: Hourly near-surface relative humidity and temperature were monitored from 2005 to 2010 in a mesoscale network of 232 sites in the foothills of the Rocky Mountains in southwestern Alberta, Canada. The monitoring network covers a range of elevations from 890 to 2880 m above sea level and an area of about 18 000 km², sampling a variety of topographic settings and surface environments with an average spatial density of one station per 78 km². Having been combined with air pressure measurements from Calgary International Airport and adjusted for the site elevation, the hourly data form the basis of estimates of daily mean specific humidity, vapour pressure, and relative humidity at each site. Overall data coverage for the study period is 89 %. This paper describes the processing methods used to quality control and gap fill the data. Inverse-distance weighting techniques are used to estimate the missing 11 % of data, based on neighbourhood values of daily mean specific humidity. We also report monthly mean lapse rates of specific and relative humidity. Plots of seasonal and spatial humidity patterns in the region illustrate the relations between humidity variables and temperature, elevation, and longitude.
description: Supplement to: Wood, Wendy H; Marshall, Shawn J; Fargey, Shannon E (2019): Daily measurements of near-surface humidity from a mesonet in the foothills of the Canadian Rocky Mountains, 2005-2010. Earth System Science Data, 11(1), 23-34
DOI: 10.1594/pangaea.889943
title: The global forest age dataset (GFADv1.0), link to NetCDF file

description: The global forest age dataset (GFAD) describes the age distributions of plant functional types (PFT) on a 0.5-degree grid. Each grid cell contains information on the fraction of each PFT within an age class. The four PFTs, needleaf evergreen (NEEV), needleleaf deciduous (NEDE), broadleaf evergreen (BREV) and broadleaf deciduous (BRDC) are mapped from the MODIS Collection 5.1 land cover dataset, crosswalking land cover types to PFT fractions. The source of data for the age distributions is from country-level forest inventory for temperate and high-latitude countries, and from biomass for tropical countries. The inventory and biomass data are related to fifteen age classes defined in ten-year intervals, from 1-10 up to a class greater than 150 years old. The GFAD dataset represents the 2000-2010 era.
DOI: 10.1594/pangaea.905821
title: Newly developed model code and scripts for the coupling of CESM1.2 and MEDUSA

description: We developed a coupling scheme for the Community Earth System Model version 1.2 (CESM1.2) and the Model of Early Diagenesis in the Upper Sediment of Adjustable complexity (MEDUSA), and explored the effects of the coupling on solid components in the upper sediment and on bottom seawater chemistry by comparing the coupled model's behaviour with that of the uncoupled CESM having a simplified treatment of sediment processes. CESM is a fully-coupled atmosphere-ocean-sea ice-land model and its ocean component (the Parallel Ocean Program version 2, POP2) includes a biogeochemical component (BEC). MEDUSA was coupled to POP2 in an off-line manner so that each of the models ran separately and sequentially with regular exchanges of necessary boundary condition fields. This development was done with the ambitious aim of a future application for long-term (spanning a full glacial cycle; i.e., ~10^5 years) climate simulations with a state-of-the-art comprehensive climate model including the carbon cycle, and was motivated by the fact that until now such simulations have been done only with less-complex climate models. We found that the sediment-model coupling already had non-negligible immediate advantages for ocean biogeochemistry in millennial-time-scale simulations. First, the MEDUSA-coupled CESM outperformed the uncoupled CESM in reproducing an observation-based global distribution of sediment properties, especially for organic carbon and opal. Thus, the coupled model is expected to act as a better ''bridge'' between climate dynamics and sedimentary data, which will provide another measure of model performance. Second, in our experiments, the MEDUSA-coupled model and the uncoupled model had a difference of 0.2 permil or larger in terms of d13C of bottom water over large areas, which implied potential significant model biases for bottom seawater chemical composition due to a different way of sediment treatment. Such a model bias would be a fundamental issue for paleo model-data comparison often relying on data derived from benthic foraminifera.
description: Supplement to: Kurahashi-Nakamura, Takasumi; Paul, André; Munhoven, Guy; Merkel, Ute; Schulz, Michael (2020): Coupling of a sediment diagenesis model (MEDUSA) and an Earth system model (CESM1.2): a contribution toward enhanced marine biogeochemical modelling and long-term climate simulations. Geoscientific Model Development, 13(2), 825-840
DOI: 10.17632/k438knz9zs.5
title: Primary production data for the Indian Ocean sector of the Southern Ocean
DOI: 10.17632/yb4h7p4xp4.2
title: Code to build an automated online system for gas emission measurements in aquatic environments

description: These are softwares to build an active sensor network to study CH4 and CO2 gases emission from aquatic environment. Instruction to use Producer_submittedCode is described in Supplementary material of the article. Xbeedatalogger code is compiled and embedded into a microchip of an Xbeedatalogger board as an instruction in SI of Duc et. al. (2013).
DOI: 10.18140/flx/1440135
title: FLUXNET2015 CH-Oe1 Oensingen grassland

description: This is the FLUXNET2015 version of the carbon flux data for the site CH-Oe1 Oensingen grassland.
DOI: 10.18140/flx/1440147
title: FLUXNET2015 DE-Gri Grillenburg

description: This is the FLUXNET2015 version of the carbon flux data for the site DE-Gri Grillenburg.
DOI: 10.18140/flx/1440148
title: FLUXNET2015 DE-Hai Hainich

description: This is the FLUXNET2015 version of the carbon flux data for the site DE-Hai Hainich.
DOI: 10.21227/gzkn-f379
title: Top Indian Fruits with quality

description: INDIA is the second-largest fruit and vegetable exporter in the world after China. It ranked first in the production of Bananas, Papayas, and Mangoes. Public datasets of fruits are available but they are limited to general fruit classes. The main objectives to create this dataset were: 1) Target the top Indian fruits which are exported or highly consumed. 2) Create a dataset for fruit classification with the quality of fruit. 3) Dataset consists of high-quality images.We use mobile phones rear camera to take the images of fruits. The dataset consists of total 12000 images with 12 classes namely, Bad Apple, Good Apple, Bad Banana, Good Banana, Bad Guava, Good Guava, Bad Lime, Good Lime, Bad Orange, Good Orange, Bad Pomegranate, and Good Pomegranate. In the dataset, each class consists of 1000 images of size 256x256. The images had taken with different angles, with different backgrounds, and in different lighting conditions. As we considered the most consumed fruits this dataset is very useful for researchers.
DOI: 10.23728/b2share.498ae39b13c04e0f9dfdbfb711ac21f5
title: Aeroelastic response of a multi-megawatt upwind horizontal axis wind turbine (HAWT) based on fluid–structure interaction simulation

description: Figures Data
DOI: 10.23728/b2share.bf41278d91b445bda4505d5b1eaac26c
title: H2020 eLTER EUROCORDEX Lookup table

description: Includes DOIs for each EuroCordex deposit on B2Share
DOI: 10.4225/15/590173acc61c9
title: Wave-Ice interactions and ice break-up observations in the Southern Ocean, 2020
DOI: 10.5067/ghgmr-4fj01
title: GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis
DOI: 10.5067/iss/sageiii/solar_hdf4_l2-v5.1
title: SAGE III/ISS L2 Solar Event Species Profiles (HDF-EOS) V051
DOI: 10.5067/modis/myd35_l2.061
title: MYD35_L2 MODIS/Aqua Cloud Mask and Spectral Test Results 5-Min L2 Swath 250m and 1km
DOI: 10.5067/sxjvj3a2xizt
title: Arctic Sea Ice Freeboard and Thickness, Version 1
DOI: 10.5281/zenodo.1249604
title: Historical Climate Model Output Of Echam5-Wiso From 1871-2011 At T106 Resolution

description: Historical climate model simulation of the isotope-enabled ECHAM5-wiso model from the years 1871 to 2011 at T106 (1 degree) resolution. The model code was provided by Martin Werner of AWI. The simulations were designed and run by Nathan Steiger on the Yellowstone supercomputer. The boundary conditions were interpolated HadISST fields. The simulations also included updated fractionation factors (an option within the ECHAM5-wiso Fortran code). All variables here are at monthly resolution in netcdf format. Please contact Nathan Steiger if you have any questions about the simulation. In addition to the data citation, please also cite the following reference for where the data were first published: Steiger, N.J., E.J. Steig, S.G. Dee, G.H. Roe, and G.J. Hakim, (2017): <em>Climate reconstruction using data assimilation of water-isotope ratios from ice cores.</em> Journal of Geophysical Research: Atmospheres, doi:10.1002/2016JD026011.

Standard variables include: ECHAM5 T106 orography, 2 m temperature, surface pressure, mean sea level pressure, vertically integrated water vapor, total precipitation, evaporation, soil moisture, relative humidity, specific humidity, atmospheric stream function at 200 hPa, geopotential height at 500 hPa, windspeed at 10 m, and u-velocity wind at 200 hPa. Moisture variables are given at the surface (lowest atmospheric level).

Isotope variables include: d18O and dD of total precipitation, d18O and dD of evaporation, d18O and dD of snow fall, d18O and dD of seasonal snow cover, d18O and dD of snow on glaciers, d18O and dD of soil moisture, and specific humidity of water isotopes.
description: Version 2 includes additional model output.
DOI: 10.5281/zenodo.12624570
title: Formation of Structurally Bound Carbonate in Silicate Melts on the Top of the Mantle Transition Zone

description: Readme

 

These data are raw data related to the paper “Formation of Structurally Bound Carbonate in Silicate Melts on the Top of the Mantle Transition Zone” by Eun Jeong Kim and Sung Keun Lee, submitted to Geophysical Research Letters. The raw dataset include 29Si and 13C MAS NMR spectra, and isotropic projections of 17O 3QMAS NMR spectra of carbon-bearing sodium silicate melts at high pressure up to 14 GPa.
DOI: 10.5281/zenodo.14511470
title: Dataset for Machine Teaching in Swarm Metaverse under Different Levels of Autonomy

description: This dataset contains human demonstration data collected in the Swarm Metaverse. This data is collected from two system experts under two levels of autonomy: high and low. The Swarm Metaverse enables a human to control a swarm of UGVs via a virtual UAV, by leveraging the shepherding model.  

The data is described and anaylsed in the following publication:Hussein A, Nguyen H, Abbass HA. 2024 Machine teaching in Swarm Metaverse under different levels of autonomy. Phil. Trans. R. Soc. A 383: 20240149. (doi:10.1098/rsta.2024.0149)

The details of Swarm Metaverse can be found here: Nguyen H, Hussein A, Garratt MA, Abbass HA. 2023 Swarm Metaverse for Multi-Level Autonomy Using Digital Twins. Sensors 23. (doi:10.3390/s23104892)
DOI: 10.5281/zenodo.3274254
title: Mapping the yields of lignocellulosic bioenergy crops from observations at the global scale

description: This package contains the gridded yield data for lignocellulosic bioenergy crops developed from a global yield observation dataset using a random forest algorithm based on climatic and soil conditions. The data are global yield maps of five important lignocellulosic bioenergy crops (eucalypt, Miscanthus, poplar, switchgrass and willow) under current technology, climate and atmospheric CO<sub>2</sub> conditions at a 0.5° × 0.5° spatial resolution. A combined “best bioenergy crop” yield map is also provided by selecting the one of the five crop types with the highest yield in each of the grid cell. The yield unit is “ton DM ha<sup>-1</sup> yr<sup>-1</sup>”. Please see more details in the associated paper on ESSD.
DOI: 10.5281/zenodo.3576036
title: Simulations from the LPJ-GUESS dynamic global vegetation model v3.0 for the Vegetation Carbon Turnover Intercomparison

description: Outputs from the LPJ-GUESS dynamic global vegetation model v3.0 are provided for two global simulations. One forced by CRU-NCEP v5 climate data for the period 1901-2014 and one forced by bias-corrected IPSL-CM5A-LR RCP 8.5 climate data for the period 1901-2099. Only potential natural vegetation was simulated, i.e. no human land-use. Both simulations are at 0.5 x 0.5 degree spatial resolution. Carbon turnover fluxes for live vegetation for mortality, leaf phenological turnover and fine root phenological turnover were outputted individually. For a full description of the simulations, please refer to the accompanying paper.
DOI: 10.5281/zenodo.3579384
title: Simulations from the SEIB-DGVM dynamic global vegetation model for the Vegetation Carbon Turnover Intercomparison

description: Outputs from the SEIB-DGVM dynamic global vegetation model. One forced by CRU-NCEP v5 climate data for the period 1901-2014 and one forced by bias-corrected IPSL-CM5A-LR RCP 8.5 climate data for the period 1901-2099. Only potential natural vegetation was simulated, i.e. no human land-use. Both simulations are at 0.5 x 0.5 degree spatial resolution. Carbon turnover fluxes for live vegetation for each individual turnover-causing process in the model were outputted individually. For a full description of the simulations, please refer to the accompanying paper.
DOI: 10.5281/zenodo.3579402
title: Simulations from the ORCHIDEE dynamic global vegetation model for the Vegetation Carbon Turnover Intercomparison

description: Outputs from the ORCHIDEE dynamic global vegetation model are provided for two global simulations. One forced by CRU-NCEP v5 climate data for the period 1901-2014 and one forced by bias-corrected IPSL-CM5A-LR RCP 8.5 climate data for the period 1901-2099. Only potential natural vegetation was simulated, i.e. no human land-use. Both simulations are at 0.5 x 0.5 degree spatial resolution. Carbon turnover fluxes for live vegetation for mortality, leaf phenological turnover and fine root phenological turnover were outputted individually. For a full description of the simulations, please refer to the accompanying paper.
DOI: 10.5281/zenodo.3932388
title: Dataset and scripts for manuscript "Can machine learning extract the mechanisms controlling phytoplankton growth from large-scale observations? – A proof of concept study"

description: Zip file containing the scripts, functions, and source files for the manuscript titled "Linking intrinsic and apparent relationships between phytoplankton and environmental forcings using machine learning - What are the challenges?"
description: This work was supported in part by the NSF Division of Ocean Sciences (Grant No. 1756568; "Collaborative Research: Southern Ocean Convection in climate models: controls and Impacts")
DOI: 10.5285/1467b446-54eb-45c1-8a31-f4af21e60e60
title: Major ion chemistry and stable nitrate isotopic composition of aerosol, skin layer snow and snow pits at Dronning Maud Land, Antarctica

description: This dataset contains major ion chemistry and stable nitrate isotopic composition for i) daily aerosol and skin layer snow samples collected during January 2017, and ii) two snow pits at Kohnen Station, Dronning Maud Land, Antarctica. Funding was provided by the NERC grant NE/N011813/1.
description: Methods for analysis can be found in Winton et al. (2019). Aerosol, skin layer (5 mm surface snow) and snow pit samples (2 m and 1.6 m deep pits) were collected during January 2017 in the clean air sector at Kohnen Station. Major ions were measured using iron chromatography at the British Antarctic Survey, Cambridge, UK. Stable nitrate isotopic composition was measured the denitrifier method and subsequent isotope ratio mass spectrometry at the Institut des Geosciences de l'Environnement, Grenoble, France.
description: Ion chromatography: Dionex™ ICS-4000 Integrated Capillary HPIC™ System ion chromatograph Isotope ratio mass spectrometer (IRMS) for duel O and N analysis: Thermo Finnigan™ MAT 253 IRMS equipped with a GasBench II™ and coupled to an in-house-built NO3- interface
description: Major ions: Certified reference materials (CRM; ERM-CA616 groundwater standard and ERM-CA408 simulated rainwater standards; Sigma-Aldrich) were measured regularly for quality control and yielded an accuracy of 97 % for nitrate. Nitrate stable isotope ratios: Certified reference materials (IAEA USGS-32, USGS-34 and USGS-35; Böhlke et al., 1993; Böhlke et al., 2003) were prepared (matrix match 1 M NaCl solution; ACS grade) and subject to the same analytical procedures as snow and aerosol samples. For each batch of 60 samples, the overall accuracy of the method is estimated as the reduced standard deviation of the residuals from the linear regression between the measured reference materials (n = 16) and their expected values. For the snow (n = 118) aerosol samples (n = 35), the average uncertainty values obtained for δ15N were 0.5 ‰ and 0.5 ‰ respectively. N/A denotes values below the detection limit.