cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.857574
title: Annual layer thicknesses and age-depth (oldest estimate) of Derwael Ice Rise (IC12), Dronning Maud Land, East Antarctica

description: A 120 m-long ice core was drilled in 2012 on the Derwael Ice Rise, coastal Dronning Maud Land, East Antarctica. Water stable isotopes (d18O and dD) stratigraphy is supplemented by discontinuous major ion profiles and continuous electrical conductivity measurements. The base of the ice core is dated to AD 1759 ± 16, providing a climate proxy for the past ~250 years. This data set presents the core's annual layer thickness history in meters water equivalent for the oldest age-depth estimate before correction for the influence of ice deformation.
description: Supplement to: Philippe, Morgane; Tison, Jean-Louis; Fjøsne, Karen; Hubbard, Bryn; Kjær, Helle Astrid; Lenaerts, Jan T M; Drews, Reinhard; Sheldon, Simon G; De Bondt, Kevin; Claeys, Philippe; Pattyn, Frank (2016): Ice core evidence for a 20th century increase in surface mass balance in coastal Dronning Maud Land, East Antarctica. The Cryosphere, 10(5), 2501-2516
DOI: 10.4225/49/576c900f7d289
title: Sample output from the Weather, Research and Forecasting model

description: Sample output for the Weather, Research and Forecasting model model, a limited-area numerical weather prediction model.<br> - 165 x 140 grid-points in the horizontal. The horizontal grid covers -34.77S to -33.51S and 149.92E to 151.72E at roughy 1km x 1km horizontal resolution. This covers the Greater Metropolitan Region of Sydney, Newcastle and Wollongong in NSW, Australia. There are 32 vertical levels from the surface to 50hPa.<br> - 1 time-point (2013-01-24 07:00:00 UTC)<br> - 26 3D variables, 100 2D variables<br><br>
DOI: 10.4225/49/576c934f73be7
title: Sample MERRA analysis

description: Sample analysis file from MERRA (Modern-Era Retrospective analysis for Research and Applications), produced by NASA (http://gmao.gsfc.nasa.gov/merra/). This contains historical analysed fields (i.e. output from data assimilation) from this global numerical weather prediction modeling system.<br>- Dimensions: 144×288 grid-points in the horizontal with a global coverage on a 1.25 x 1.25 degree geographical grid. There are 42 vertical levels from 1000hPa to 0.1hPa. <br>- There are 8 time-points, representing regular three-hourly snapshots from 2013-06-01 00:00:00 UTC.<br>- There 11 variables with these four dimensions, including dynamical fields (wind components, pressure, temperature, vorticity, geopotential height) and composition (relative humidity, liquid water and ice mixing ratios, ozone mixing ratio). <br><br>
DOI: 10.4225/49/576ca64db2a14
title: Sample CAM SE model output

description: Sample output from CAM-SE (the Community Atmosphere Model using a scalable spectral element dynamical). The model output includes a large number of variables relating to the dynamics and composition of the atmosphere. The output is arranged by columns; columns are not distributed in a rectangular (e.g. latitude-longitude grid), but rather following a cubed-sphere grid. See the associated reference for mode details.<br> - Dimensions: 48602 columns covering the globe, each with 30 vertical levels.<br> - One timestep.<br> - 123 variables with dimensions "(time, level, column)" and 625 with dimensions "(time, column)"<br><br>
DOI: 10.5067/aura/tes/tl2coln_l2.006
title: TES/Aura L2 Carbon Monoxide Lite Nadir - Version 6
DOI: 10.5067/aura/tes/tl2pann_l2.007
title: TES/Aura L2 Peroxyacyl Nitrate Nadir - Version 7
DOI: 10.5067/caliop/calipso/cal_lid_l2_05kmcpro-prov-v3-30_l2-003.30
title: CALIPSO LID_L2_05kmCPro-Prov HDF File - Version 3.30
DOI: 10.5067/modis/myd06_l2.006
title: MYD06_L2 MYD06_L2 MODIS/Aqua Clouds 5-Min L2 Swath 1km and 5km
DOI: 10.5281/zenodo.1464846
title: Global landform and lithology class at 250 m based on the USGS global ecosystem map

description: Layers include: lithology (15) and landform (7) indicator maps (0-100%). Derived from the USGS Global Ecosystem Map, i.e. the EcoTapestry map. Water bodies masked out. Antarctica is not included. To access and visualize maps use: OpenLandMap.org If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: dtm = theme: digital terrain models / relief and soil, lithology = variable: lithological class, usgs.ecotapestry = determination method: USGS Global Ecosystem Map, p = probability 0-100%, 250m = spatial resolution / block support: 1 km, s0..0cm = vertical reference: land surface, 2014 = time reference: year 2014, v1.0 = version number: 1.0,
description: {"references": ["Sayre, R., J. Dangermond, C. Frye, R. Vaughan, P. Aniello, S. Breyer, D. Cribbs, D. Hopkins, R. Nauman, W. Derrenbacher, D.Wright, C. Brown, C. Convis, J. Smith, L. Benson, D. Paco VanSistine, H. Warner, J. Cress, J. Danielson, S. Hamann, T. Cecere, A. Reddy, D. Burton, A. Grosse, D. True, M. Metzger, J. Hartmann, N. Moosdorf, H. D\u00fcrr, M. Paganini, P. DeFourny, O. Arino, S. Maynard, M. Anderson, and P. Comer, 2014, A New Map of Global Ecological Land Units \u2013 An Ecophysiographic Stratification Approach. Washington, DC: Association of American Geographers. 46 pages.", "Hartmann, J., & Moosdorf, N. (2012). The new global lithological map database GLiM: A representation of rock properties at the Earth surface. Geochemistry, Geophysics, Geosystems, 13(12)."]}
DOI: 10.5281/zenodo.495632
title: An Open-Access Cmip5 Pattern Library For Temperature And Precipitation: Description And Methodology.

description: The pattern library is available on GitHub through the Joint Global Change Research Institution repository (https://github.com/JGCRI/CMIP5_patterns). GitHub is a web-based version control repository and Internet hosting service which uses git concepts and commands. The purpose of creating this pattern library was to allow for researchers across various fields to be able to efficiently use the statistical patterns generated by the described regression method to examine model response to change in global mean temperature for all the available CMIP5 models (41 models, at present). We also further intend for those patterns to be easy to scale using a scaler generated from a SCM of ones choosing.

The pattern library contains patterns, generated by the least squared regression methodology, for the first realization of the 41 CMIP5 climate models. Annual, seasonal, and monthly patterns are provided for surface temperature and precipitation. For temperature patterns, units in Celsius were used as it is the standard temperature units for impact analysis.

Included in each netCDF file for each model is:<br>
1. The individual model pattern (2-D);<br>
2. The adjusted R2 between the predictor and dependent terms (2-D);<br>
3. The standard error of the estimated regression coefficient (2-D);<br>
4. A historical climatology based on the 1961-1990 average from each model (2-D), which can be used to construct absolute values at time X;

5. The 95th percentile confidence level pattern for model parameters.

The patterns from all 41 CMIP5 models range in size (165 kB to 1 MB) due to spatial resolution, but all patterns were kept at the native resolution of the dependent variable and no regridding of input/output variables were done. This was done to retain model specific information, which may have been lost if regridded to a common spatial resolution.

All source code used to produce patterns is available in the aforementioned repository. Source code is written in NCAR Command Language (Version 6.3.0; http://dx.doi.org/10.5065/D6WD3XH5).
DOI: 10.5281/zenodo.5816591
title: The 30 m annual land cover datasets and its dynamics in China from 1990 to 2021

description: Using 335,709 Landsat images on the Google Earth Engine, we built the first Landsat-derived annual land cover product of China (CLCD) from 1985 to 2019. We collected the training samples by combining stable samples extracted from China's Land-Use/Cover Datasets (CLUD), and visually-interpreted samples from satellite time-series data, Google Earth and Google Map. Several temporal metrics were constructed via all available Landsat data and fed to the random forest classifier to obtain classification results. A post-processing method incorporating spatial-temporal filtering and logical reasoning was further proposed to improve the spatial-temporal consistency of CLCD. "*_albert.tif" are projected files via proj4 string "+proj=aea +lat_1=25 +lat_2=47 +lat_0=0 +lon_0=105 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs". CLCD in 2021 is now available; Filling possible gaps between provinces; Building internal overviews for each file.
DOI: 10.5281/zenodo.831329
title: Grib And Ascii Data, Subset Era-I For Shallow Water Waves Ocean Science Study

description: Specific output from ERA-I reanalysis (wave model component) containing interated parameters, see https://doi.org/10.5194/os-13-1-2017
DOI: 10.5285/09511dd0-51db-0e21-e053-6c86abc09b95
title: UKOA measurements of the stable isotope composition of dissolved inorganic carbon in the Northeastern Atlantic and Nordic Seas during summer 2012.

description: This dataset contains 227 measurements of the stable isotope composition of dissolved inorganic carbon in seawater in samples collected during cruise JR20120601 in the Northeastern Atlantic and Nordic Seas in June 2012. Sample analysis was carried out at the Scottish Universities Environmental Research Centre - Isotope Community Support Facility in East Kilbride, UK. The results fall in a range from -0.58 to +2.37 per mille, relative to the Vienna Peedee Belemnite internation standard. The measurement precision, calculated from measurements of samples collected in duplicate, is 0.07 per mille.
DOI: 10.5285/09760a3a-c2b5-250b-e053-6c86abc037c0
title: Ellett Line measurements of stable isotope composition of dissolved inorganic carbon in the Northeastern Atlantic and Nordic Seas during summer 2012.

description: This dataset contains 325 measurements of the stable isotope composition of dissolved inorganic carbon in seawater in samples collected during cruise D379 in the Northeastern Atlantic and Nordic Seas in August 2012. Sample analysis was carried out at the Scottish Universities Environmental Research Centre - Isotope Community Support Facility in East Kilbride, UK. The results fall in a range from -0.58 to +2.37 per mille, relative to the Vienna Peedee Belemnite internation standard. The measurement precision, calculated from measurements of samples collected in duplicate, is 0.07 per mille.
DOI: 10.5439/1052559
title: Solar Radiation Monitoring Station (SoRMS): Humboldt State University, Arcata, California (Data)

description: A partnership with HSU and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States.  The measurement station monitors global horizontal, direct normal, and diffuse horizontal irradiance to define the amount of solar energy that hits this particular location.
DOI: 10.5676/eum_saf_cm/dal_mviri_seviri/v001
title: CM SAF Meteosat Surface Radiation Daylight Data Set 1.0
title: Monthly Means / Daily Means

description: The CM SAF Daylight Data Set is a satellite-based climatology derived from satellite-observations from the visible channel of the Meteosat satellites. The data are available from 1983 to 2011 and cover the region ±65° longitude and ±65° latitude. The products are available as monthly, and daily means on a regular latitude/longitude grid with a spatial resolution of 0.05° x 0.05° degrees.
DOI: 10.13020/4wrv-t931
title: Floral freezing tolerance of Minnesotan woody and semi-woody plants

description: Data collected for a study on floral freezing tolerance of native trees and shrubs. The goal of the project was to determine if native flowers are vulnerable to freezing temperatures and how their vulnerability to freezing temperatures relates to their flowering time.
description: There are three data files and one readme file.
DOI: 10.14291/tccon.ggg2014.karlsruhe01.r1/1182416
title: TCCON data from Karlsruhe (DE), Release GGG2014.R1

description: 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 Karlsruhe, Germany.
description: <br>Cite this record as:<br>Hase, F., Blumenstock, T., Dohe, S., Groß, J., & Kiel, M. (2015). <i>TCCON data from Karlsruhe (DE), Release GGG2014.R1</i> (Version GGG2014.R1) [Data set]. CaltechDATA. https://doi.org/10.14291/TCCON.GGG2014.KARLSRUHE01.R1/1182416<br> or choose a different citation style.<br>Download Citation<br>
description: <br>Unique Views: 518<br>Unique Downloads: 20<br> between September 08, 2017 and July 12, 2021<br>More info on how stats are collected<br>
DOI: 10.15784/601033
title: Taylor Glacier Gas Isotope Data
DOI: 10.1594/pangaea.56094
title: GISP2 Oxygen Isotope Data

description: Measured at University of Washingtons Quaternary Isotope Laboratory. Timescale (down to 2808 m) includes revisions by Meese as of Sept 1994. Depths below 167 m are D core; above 167 meters depths are B core+1.09 meters. Depth is top of interval.
DOI: 10.1594/pangaea.868929
title: Global map of clay minerals in terrestrial soils

description: We developed a comprehensive dataset of major soil clay minerals covering the global land surface for both topsoil (near-surface) and subsoil at different spatial resolutions. This dataset is intended for application in a variety of earth science fields that require interdisciplinary data. We gathered observational data on clay minerals through a literature survey and meta-analysis. Most observations were originally obtained by x-ray diffraction (XRD) analysis. The multitude of clay minerals that occur in soils were classified into ten groups: chlorite, gibbsite, kaolinite, mica-illite, smectite, quartz, vermiculite, non-crystalline (amorphous and short-range order minerals), iron oxide, and others. We then aggregated the clay mineral composition data on the basis of 12 soil orders. Using a global map of soil orders and additional soil datasets, we developed global maps of clay mineral abundances in topsoil and subsoil at a resolution of 2° grid cells (about 3.7 km) and, by averaging, at lower spatial resolutions (e.g., 1° grid cells). We examined uncertainties in the dataset by statistical (i.e., Monte Carlo) methods and by comparison with previous datasets. The new dataset will facilitate continental-scale studies of biogeochemistry and climatology by providing more precise soil properties related to, for example, soil adsorption and dust emission. The dataset should also find application in interdisciplinary studies in fields such as hydrology and agronomy, both as input data for model simulations and for the interpretation of observational data.
DOI: 10.1594/wdcc/wrf_noah_hwsd_world_top_soiltyp
title: Soil texture forcing data for the whole world for the Weather Research and Forecasting (WRF) Model of the University of Hohenheim (UHOH) based on the Harmonized World Soil Database (HWSD) at 30 arc-second horizontal resolution

description: Project: DFG Research Unit 1695 'Regional Climate Change' - The joint objective of the Project is to investigate the effects of global climate change on structure and functions of agricultural landscapes on a regional scale and to work out projections for their development until 2030 taking into consideration various possible socio-economic conditions and adaptation processes. In order to achieve these objectives, regional climate models coupled with land surface and crop models as well as with multi agent systems in a new integrated land system model have been used, and structure and parameterization of various model components are to be optimized. Field measurements and controlled experiments have been serving to improve model components and their parameterizations, and to validate the individual models and the coupled model system. more information see http://klimawandel.uni-hohenheim.de Summary: Note: Do not use use this version any more, use version 1.21 instead! doi:10.1594/WDCC/WRF_NOAH_HWSD_world_TOP_ST_v121 Data contain dominating soil type in a grid cell for the whole world at 30 arc-second (~1km) horizontal resolution. The data are based on Harmonized World Soil Database (HWSD), but reclassified according to the State Soil Geographic (STATSGO) classification table of the Weather Research and Forecasting (WRF) Model for NOAH and NOAH-MP Land Surface Models (LSMs). The source of the data is HWSD version 1.2, provided by the Food and Agriculture Organization of the United Nations (FAO), the International Institute for Applied Systems Analysis (IIASA), International Soil Reference and Information Centre (ISRIC), Institute of Soil Science - Chinese Academy of Sciences (ISSCAS) and Joint Research Centre of the European Commission (JRC) in 2012 (FAO/IIASA/ISRIC/ISSCAS/JRC, 2012. Harmonized World Soil Database (version 1.2). FAO, Rome, Italy and IIASA, Laxenburg, Austria). More information on HWSD data available on the web page: http://webarchive.iiasa.ac.at/Research/LUC/External-World-soil-database/HTML/ Horizontal resolution: 0.0083333333333333° Type/units: categorical/1-16 categories Missing_value: 241.0 Projection: regular latitude longitude
DOI: 10.17632/wykht8y7tg.1
title: Panasonic 18650PF Li-ion Battery Data

description: The included tests were performed at the University of Wisconsin-Madison by Dr. Phillip Kollmeyer (phillip.kollmeyer@gmail.com). If this data is utilized for any purpose, it should be appropriately referenced. The tests can be used to test Neural Network and Kalman Filter State of Charge algorithms, or to develop battery models, and are intended to be a reference so researchers can compare their algorithm and model performance for a standard data set. The test data, or similar data, has been used for numerous publications, including: E. Chemali, P. J. Kollmeyer, M. Preindl, R. Ahmed and A. Emadi, "Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries," in IEEE Transactions on Industrial Electronics, vol. 65, no. 8, pp. 6730-6739, Aug. 2018. doi: 10.1109/TIE.2017.2787586 R. Zhao, P. J. Kollmeyer, R. D. Lorenz and T. M. Jahns, "A compact unified methodology via a recurrent neural network for accurate modeling of lithium-ion battery voltage and state-of-charge," 2017 IEEE Energy Conversion Congress and Exposition (ECCE), Cincinnati, OH, 2017, pp. 5234-5241. doi: 10.1109/ECCE.2017.8096879 P.J. Kollmeyer, A. Hackl and A. Emadi, "Li-ion battery model performance for automotive drive cycles with current pulse and EIS parameterization," 2017 IEEE Transportation Electrification Conference and Expo (ITEC), Chicago, IL, 2017, pp. 486-492. doi: 10.1109/ITEC.2017.7993319 P. J. Kollmeyer, Development and Implementation of a Battery-Electric Light-Duty Class 2a Truck including Hybrid Energy Storage, PhD Dissertation, Dept. Elect. Eng., University of Wisconsin-Madison, 2015. For the tests, a brand new 2.9Ah Panasonic 18650PF cell was tested in an 8 cu.ft. thermal chamber with a 25 amp, 18 volt Digatron Firing Circuits Universal Battery Tester channel. A series of tests, including HPPC, drive cycles, and impedance spectroscopy, were performed at five different temperatures. The battery was charged after each test at a 1C rate to 4.2V, 50mA cut off, with battery temperature 12degC or greater). See the readme file for additional details.
DOI: 10.17864/1947.9
title: Improved Arctic sea ice thickness projections using bias corrected CMIP5 simulations

description: Projections of Arctic sea ice thickness (SIT) have the potential to inform stakeholders about accessibility to the region, but are currently rather uncertain. The latest suite of CMIP5 Global Climate Models (GCMs) produce a wide range of simulated SIT in the historical period (1979 – 2014) and exhibit various biases when compared with the Pan-Arctic Ice Ocean Modelling and Assimilation System (PIOMAS) sea ice reanalysis. We present a new method to constrain such GCM simulations of SIT to narrow projection uncertainty via a statistical bias correction technique. This method is applied to six GCMs from CMIP5, the outputs of which are available in this dataset. Results are reported in: Melia, N., Haines, K., and Hawkins, E.: Improved Arctic sea ice thickness projections using bias corrected CMIP5 simulations, The Cryosphere Discuss., 9, 3821-3857, doi:10.5194/tcd-9-3821-2015, 2015.
DOI: 10.18462/iir.pcm.2016.0026
title: Investigation of K2HPO4·6H2O as phase change slurry (PCS).

description: K2HPO4·6H2O (potassium hydrogen phosphate hexahydrate) is a salt hydrate with a melting temperature around 14 °C. It shows an acceptable crystallisation speed until a crystal size of around 1 mm is reached after which the crystal growth virtually stops. For its usage as PCS in applications, basic material properties need to be determined. The melting enthalpy of K2HPO4·6H2O determined via T-History is (156 ± 8) J g-1. Density measurements of both the solid and the liquid phase reveal a volume change from liquid to solid of around -3%. Due to this small volume change, the determination of the crystal fraction is in K2HPO4·6H2O slurry difficult. In our work, the possibility of using a turbidity sensor to determine the crystal fraction is investigated and the recording of a calibration curve is achieved up to a crystal fraction of around 7 wt%.
DOI: 10.25919/9k2k-9n84
title: Cyanobacterial cultures - absorption spectra, phycocyanin and phycoerythrin concentration for selected cultures

description: The absorption spectra together with the phycocyanin and phycoerythrin concentrations were measured on ten cyanobacterial cultures obtained from the Australian National Algae Culture Collection (ANACC) based at CSIRO, Hobart, Tasmania, Australia.