cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3334/cdiac/00001_v2011
title: Global, Regional, and National Fossil-Fuel CO2 Emissions, 1751 - 2008 (Version 2011)

description: Publications containing historical energy statistics make it possible to estimate fossil fuel CO2 emissions back to 1751. Etemad et al. (1991) published a summary compilation that tabulates coal, brown coal, peat, and crude oil production by nation and year. Footnotes in the Etemad et al.(1991) publication extend the energy statistics time series back to 1751. Summary compilations of fossil fuel trade were published by Mitchell (1983, 1992, 1993, 1995). Mitchell's work tabulates solid and liquid fuel imports and exports by nation and year. These pre-1950 production and trade data were digitized and CO2 emission calculations were made following the procedures discussed in Marland and Rotty (1984) and Boden et al. (1995). Further details on the contents and processing of the historical energy statistics are provided in Andres et al. (1999). The 1950 to present CO2 emission estimates are derived primarily from energy statistics published by the United Nations (2010), using the methods of Marland and Rotty (1984). The energy statistics were compiled primarily from annual questionnaires distributed by the U.N. Statistical Office and supplemented by official national statistical publications. As stated in the introduction of the Statistical Yearbook, "in a few cases, official sources are supplemented by other sources and estimates, where these have been subjected to professional scrutiny and debate and are consistent with other independent sources." Data from the U.S. Department of Interior's Geological Survey (USGS 2010) were used to estimate CO2 emitted during cement production. Values for emissions from gas flaring were derived primarily from U.N. data but were supplemented with data from the U.S. Department of Energy's Energy Information Administration (1994), Rotty (1974), and data provided by G. Marland. Greater details about these methods are provided in Marland and Rotty (1984), Boden et al. (1995), and Andres et al. (1999).
DOI: 10.3334/cdiac/cli.ndp040
title: Daily Temperature and Precipitation Data for 223 Former-USSR Stations (NDP-040)

description: The stations in this dataset are considered by RIHMI to comprise one of the best networks suitable for temperature and precipitation monitoring over the the former-USSR. Factors involved in choosing these 223 stations included length or record, amount of missing data, and achieving reasonably good geographic coverage. There are indeed many more stations with daily data over this part of the world, and hundreds more station records are available through NOAA's Global Historical Climatology Network - Daily (GHCND) database. The 223 stations comprising this database are included in GHCND, but different data processing, updating, and quality assurance methods/checks mean that the agreement between records will vary depending on the station. The relative quality and accuracy of the common station records in the two databases also cannot be easily assessed. As of this writing, most of the common stations contained in the GHCND have more recent records, but not necessarily records starting as early as the records available here. This database contains four variables: daily mean, minimum, and maximum temperature, and daily total precipitation (liquid equivalent). Temperature were taken three times a day from 1881-1935, four times a day from 1936-65, and eight times a day since 1966. Daily mean temperature is defined as the average of all observations for each calendar day. Daily maximum/minimum temperatures are derived from maximum/minimum thermometer measurements. See the measurement description file for further details. Daily precipitation totals are also available (to the nearest tenth of a millimeter) for each station. Throughout the record, daily precipitation is defined as the total amount of precipitation recorded during a 24-h period, snowfall being converted to a liquid total by melting the snow in the gauge. From 1936 on, rain gauges were checked several times each day; the cumulative total of all observations during a calendar day was presumably used as the daily total. Again, see the measurement description file for further details.
DOI: 10.3334/cdiac/otg.cfc_hist
title: Atmospheric CFC-11, CFC-12, CFC-113, CCl4 and SF6 Histories
DOI: 10.6084/m9.figshare.27755760
title: Chromosome-level genome assembly of the intertidal lucinid clam Indoaustriella scarlatoi

description: Genome assemblies and annotations of<i> </i><i>Indoaustriella</i> <i>scarlatoi</i>
DOI: 10.7265/n5k07264
title: Microparticle, Conductivity, and Density Measurements from the WAIS Divide Deep Ice Core, Antarctica
DOI: 10.1594/pangaea.681697
title: Database of Antarctic snow isotopic composition

description: Data included in the frame of a joint ICSTI/PANGAEA IPY effort, see http://doi.pangaea.de/10.1594/PANGAEA.150150
DOI: 10.1594/wdcc/eh5-t63l31_om-gr1.5l40_ctl_6h
title: IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 PIcntrl(pre-industrial control experiment): atmosphere 6 HOUR values MPImet/MaD Germany

description: Project: IPCC Assessment Report Four ECHAM5/MPIOM data sets - The project embraces the simulations with the coupled climate model ECHAM5/MPIOM, relevant for the 4th Assessment Report (AR4, http://www.ipcc.ch/ipccreports/assessments-reports.htm ) of the Intergovernmental Panel on Climate Change (IPCC). The IPCC has been established by WMO and UNEP to assess scientific, technical and socio-economic information, relevant for the understanding of climate change, its potential impacts and options for adaptation and mitigation. A more detailed description about the work of the IPCC can be found at the IPCC homepage ( http://www.ipcc.ch ) and at ( www.grida.no/climate/ipcc ). As a further development the Special Report on Emission Scenarios (SRES, http://www.grida.no/Climate/ipcc/emission/) have been constructed, to describe (potential) future developments in the global environment with special reference to the production of greenhouse gases and to aerosol precursor emissions. A set of four scenario families (A1, A2, B1, B2) have been developed (see also http://www.grida.no/climate/ipcc/emission/index.htm ) The model output data are available at the World Data Center for Climate, Hamburg.( wdc-climate.de ).Projection of future trends based on selected emission scenarios are provided through this project for a great many model variables of ECHAM5/MPIOM . For a selected set of variables the IDCC-Data Distribution Center provides additional data sets from a multitude of models that contribute to the IPCC-AR4 report (project: IPCC_DDC_AR4). Summary: The data represent 6 hourly values of pre-industrial climate simulation. Here, for the year 1860, concentrations of well mixed greenhouse gases (CO2, CH4, N2O) were prescribed. Ocean data (MPI-OM) are available within this experiment, they are stored in EXTRA FORMAT. Datasets with monthly mean values are also available. As the boundary conditions are not time dependent, the time access is arbitrary. Technical data to this experiment: The experiment is using ECHAM5.2.02 coupled to MPI-OM Vers.1.0 GR1.5L40 and was run on a NEC-SX6(hurrikan). The output from the model run: hurrikan.dkrz.de:/ut/3/m214002/EXP500/run520
DOI: 10.18444/5.03.01.0005.0016.0001
title: Datensatz des ZfKD auf Basis der epidemiologischen Landeskrebsregisterdaten Epi2020_1, verfügbare Diagnosejahre bis 2018.
title: Population-based cancer registry dataset from the German Center for Cancer Registry Data.

description: Das Zentrum für Krebsregisterdaten im Robert Koch-Institut erstellt auf Basis der in den Bundes­ländern jährlich erfassten Krebsneuerkrankungen fortlaufend einen aktualisierten Datensatz zu Krebsneuerkrankungen in Deutschland. Seit dem Jahr 2009 werden in ganz Deutschland flächendeckend alle neuauftretenden Krebserkrankungen systematisch auf Basis eigener Ländergesetze erfasst.
description: Datensatz des ZfKD auf Basis der epidemiologischen Landeskrebsregisterdaten
description: Register
description: Der Datensatz basiert auf den Daten der epidemiologischen Landeskrebsregister zu jährlich erfassten Krebsneuerkrankungen im jeweiligen Bundesland.
DOI: 10.3334/cdiac/ffe.ndp058.2009
title: Annual Fossil-Fuel CO2 Emissions: Mass of Emissions Gridded by One Degree Latitude by One Degree Longitude (1751-2006) (NDP-058.2009)

description: The 2009 version of this database presents a time series recording 1° latitude by 1° longitude CO2 emissions in units of million metric tons of carbon per year from anthropogenic sources for 1751-2006. Detailed geographic information on CO2 emissions can be critical in understanding the pattern of the atmospheric and biospheric response to these emissions. Global, regional, and national annual estimates for 1751 through 2006 were published earlier (Boden et al. 2009). Those national, annual CO2 emission estimates were based on statistics about fossil-fuel burning, cement manufacturing and gas flaring in oil fields as well as energy production, consumption, and trade data, using the methods of Marland and Rotty (1984). The national annual estimates were combined with gridded 1° data on political units and 1984 human populations to create the new gridded CO2 emission time series. The same population distribution was used for each of the years as proxy for the emission distribution within each country. The implied assumption for that procedure was that per capita energy use and fuel mixes are uniform over a political unit. The consequence of this first-order procedure is that the spatial changes observed over time are solely due to changes in national energy consumption and nation-based fuel mix. Increases in fossil-fuel CO2 emissions over time are apparent for most areas.
DOI: 10.3334/cdiac/lue.ndp017.2006
title: Olson's Major World Ecosystem Complexes Ranked by Carbon in Live Vegetation: An Updated Database Using the GLC2000 Land Cover Product (NDP-017b, a 2006 update of the original 1985 and 2001 data file))

description: In the 1980s, Olson et al. developed a data base and corresponding map following more than 20 years of field investigations, consultations, and analyses of published literature. The original data characterize the use and vegetative cover of the Earth's land surface with a 0.5° by 0.5° grid. The purpose of these world-ecosystem-complex data and the accompanying map were to provide a current reference base for interpreting the role of vegetation in the global cycling of CO2 and other gases and a basis for improved estimates of vegetation and soil carbon, of natural exchanges of CO2, and of net historic shifts of carbon between the biosphere and the atmosphere. These data were widely used and cited in carbon cycle research. This updated database extends the methodology of Olson et al. to more contemporary land cover conditions of the Global Land Cover Database (GLC2000). The GLC2000 data were developed using remotely sensed imagery acquired in 2000. The updated data are presented in a GIS format and include estimates of mean and maximum carbon density values.
DOI: 10.3334/cdiac/lue.ndp050
title: Carbon Flux to the Atmosphere from Land-Use Changes 1850-2005 (NDP-050)

description: The methods and data sources used to derive this time series of flux estimates are described in Houghton (1999, 2003), Houghton and Hackler (1995), and Houghton et al. (1983). In summary, this database provides estimates of regional and global net carbon fluxes, on a year-by-year basis from 1850 through 2005, resulting from changes in land use (such as harvesting of forest products and clearing for agriculture), taking into account not only the initial removal and oxidation of the carbon in the vegetation, but also subsequent regrowth and changes in soil carbon. The net flux of carbon to the atmosphere from changes in land use from 1850 to 2005 was modeled as a function of documented land-use change and changes in aboveground and belowground carbon following changes in land use.
DOI: 10.3334/cdiac/otg.ndp088(v2010)
title: Global Ocean Surface Water Partial Pressure of CO2 Database: Measurements Performed During 1957-2010 (Version 2010)
DOI: 10.34740/kaggle/dsv/1875670
title: COVID-19 Lung CT Scans
DOI: 10.5066/p9orqfxz
title: Algorithms and data for modeling daily estimates of diffuse and preferential groundwater recharge at U.S. Geological Survey Climate Response Network Wells in the Delaware River Basin, USA

description: The files and folders in this data release contain the input and output files and MATLAB algorithms used for simulations described in the associated journal article (https://doi.org/10.1007/s10040-024-02868-x). The algorithms implement a data-driven, mechanistic model of vertical infiltration through the unsaturated zone and recharge to the water table that is developed from water-balance concepts. The model of infiltration and recharge is defined in terms of observed states (such as, the water-table altitude) and unobserved states (such as, fluxes through the unsaturated zone and recharge to the water table) and includes both diffuse and preferential flow through the unsaturated zone to the water table. Estimates of the daily contributions to recharge at the water table from diffuse and preferential flow are performed by interpreting daily time-series records of observations of water-table altitude and meteorological inputs (such as, the liquid precipitation rate, snowmelt rate, and the Potential Evapotranspiration (PET) rate). The modeling approach used here is an extension of concepts of modeling infiltration and rapid recharge originally presented in Shapiro and Day-Lewis (2021) (https://doi.org/10.1029/2020WR029110) and Shapiro and others (2022) (https://doi.org/10.1111/gwat.13206). The model of infiltration and recharge to the water table is applied to daily records available at 32 U.S. Geological Survey (USGS) Climate Response Network (CRN) wells located in the Delaware River Basin (DRB) in the eastern United States from January 1, 2005, through December 31, 2021. The daily water-table altitude and the meteorological records described in the associated journal article (https://doi.org/10.1007/s10040-024-02868-x) are included as input files to the MATLAB algorithms described in this data release.
DOI: 10.5066/p9y2houj
title: Principal Aquifers of the 48 Conterminous United States, Hawaii, Puerto Rico, and the U.S. Virgin Islands

description: These data were released prior to the October 1, 2016 effective date for the USGS&rsquo;s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release.  This map layer contains the shallowest principal aquifers of the conterminous United States, Hawaii, Puerto Rico, and the U.S. Virgin Islands, portrayed as polygons. The map layer was developed as part of the effort to produce the maps published at 1:2,500,000 in the printed series &quot;Ground Water Atlas of the United States&quot;. The published maps contain base and cultural features not included in these data. This is a replacement for the July 1998 map layer [...]
DOI: 10.5281/zenodo.12802619
title: Modeling actinic flux and photolysis frequencies in dense biomass burning plumes - Data asset

description: Dataset is related to the paper by Tirpitz et al.: Modeling actinic flux and photolysis frequencies in dense biomass burning plumes

Contains the preprocessed model input data and the modeling results (actinic fluxes and photolysis frequencies) for the Shady wildfire on July 25, 2019. The VPC model is on a private Github-Repository. Access is provided by the authors on request. See paper and INFO.txt in Data.zip for more information.

Correspondence:   Jan-Lukas Tirpitz: jltirpitz@atmos.ucla.edu   Jochen Stutz: jochen@atmos.ucla.edu

Other contributors:   Santo Fedele Colosimo   Nathaniel Brockway   Robert Spurr   Matthew Christi   Samuel Hall   Kirk Ullmann    Johnathan Hair   Taylor Shingler   Rodney Weber   Jack Dibb   Richard Moore   Elizabeth Wiggins   Vijay Natraj   Nicolas Theys
DOI: 10.5281/zenodo.2787208
title: Bactrocera zonata ̶ Pest Report and Datasheet to support ranking of EU candidate priority pests

description: These two files are part of the outputs produced under the mandate M-2017-0056 of the European Commission requesting EFSA for technical assistance in the field of quarantine pests qualifying as priority pests as by Article 6(2) of the Regulation (EU) 2016/2031 <em>on protective measures against pests of plants</em>. Under the mandate EFSA produced: i) 1 methodology report (DOI available at the field "Related/alternate identifiers"), ii) 28 datasheets, one for each of the 28 candidate pests, and iii) 28 pest reports supporting the information provided in the datasheets. EFSA wishes to acknowledge the contribution of Elma Bali, Josep Anton Jaques Miret, Nikolaos Papadopoulos, Stella Papanastassiou to the EKE to the EKE and the review conducted by Milonas Panagiotis.
description: EU; XLS; alpha@efsa.europa.eu
DOI: 10.5676/dwd_gpcc/fd_m_v6_050
title: GPCC Full Data Reanalysis Version 6.0 at 0.5°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data
title: Gridded Monthly Totals

description: This is the centennial GPCC Full Data Reanalysis of monthly global land-surface precipitation based on the 67,000 stations world-wide that feature record durations of 10 years or longer. This product contains the monthly totals on a regular grid with a spatial resolution of 0.5° x 0.5° latitude by longitude. Precipitation anomalies at the stations are interpolated and then superimposed on the GPCC Climatology V2015 in the corresponding resolution (DOI: 10.5676/DWD_GPCC/CLIM_M_V2011_050). The temporal coverage of the dataset ranges from January 1901 until December 2010. The GPCC Full Data Reanalysis is the most accurate in situ precipitation reanalysis data set of GPCC. Moreover it supports regional climate monitoring, model validation, climate variability analysis and water resources assessment studies.
description: General user recommendations: Users are referred to following gridded Global Precipitation Climate Centre (GPCC) products: GPCC Climatology 1951-2000 (GPCC_CLIM) with high representativeness, for application as a reference, and for utilization of the anomaly interpolation method. GPCC Full Data Reanalysis (GPCC_FD) with high accuracy, for, e.g., verification of models, or for analysis of historic global precipitation, or for research concerning the global water cycle, e.g., trend and teleconnection analyses. GPCC Monitoring Product (GPCC_MP) with high availability and reasonable timeliness, for applications like calibration of satellite data, or early annual reporting. GPCC First Guess Product (GPCC_FG) with high timeliness, to be applied for, e.g., drought monitoring.
DOI: 10.1594/pangaea.58815
title: Physical properties of firn core DML05C98_32 (B32)
DOI: 10.1594/pangaea.828262
title: Spatially explicit methane inventory for Switzerland with 500 m x 500 m resolution for 2011 (NetCDF 25 MB)

description: We present the first high-resolution (500 m × 500 m) gridded methane (CH4) emission inventory for Switzerland, which integrates the national emission totals reported to the United Nations Framework Convention on Climate Change (UNFCCC) and recent CH4 flux studies conducted by research groups across Switzerland. In addition to anthropogenic emissions, we also include natural and semi-natural CH4 fluxes, i.e., emissions from lakes and reservoirs, wetlands, wild animals as well as uptake by forest soils. National CH4 emissions were disaggregated using detailed geostatistical information on source locations and their spatial extent and process- or area-specific emission factors. In Switzerland, the highest CH4 emissions in 2011 originated from the agricultural sector (150 Gg CH4/yr), mainly produced by ruminants and manure management, followed by emissions from waste management (15 Gg CH4/yr) mainly from landfills and the energy sector (12 Gg CH4/yr), which was dominated by emissions from natural gas distribution. Compared to the anthropogenic sources, emissions from natural and semi-natural sources were relatively small (6 Gg CH4/yr), making up only 3 % of the total emissions in Switzerland. CH4 fluxes from agricultural soils were estimated to be not significantly different from zero (between -1.5 and 0 Gg CH4/yr), while forest soils are a CH4 sink (approx. -2.8 Gg CH4/yr), partially offsetting other natural emissions. Estimates of uncertainties are provided for the different sources, including an estimate of spatial disaggregation errors deduced from a comparison with a global (EDGAR v4.2) and a European CH4 inventory (TNO/MACC). This new spatially-explicit emission inventory for Switzerland will provide valuable input for regional scale atmospheric modeling and inverse source estimation.
description: Supplement to: Hiller, Rebecca V; Bretscher, Daniel; DelSontro, Tonya; Diem, Torsten; Eugster, Werner; Henneberger, Ruth; Hobi, Silas; Hodson, Elke; Imer, Dennis; Kreuzer, Michael; Künzle, Thomas; Merbold, Lutz; Niklaus, Pascal A; Rihm, Beat; Schellenberger, Andreas; Schroth, Martin H; Schubert, Carsten J; Siegrist, Hansruedi; Stieger, Jacqueline; Buchmann, N; Brunner, Dominik (2014): Anthropogenic and natural methane fluxes in Switzerland synthesized within a spatially explicit inventory. Biogeosciences, 11(7), 1941-1959
DOI: 10.1594/wdcc/mb_hef_1953-2011
title: Glacier Mass Balance of Hintereisferner, Oetztal Alps, Austria, from 1952/53-2010/11

description: Project: Glacier monitoring data of Austria - Glaciers are the most visible indicators of global change. Mass balance data allow the calculation of the past and current contributions of land ice to the sea level change. Additionally, glaciological data are used to reconstruct former climate states and complement other climate proxies for the holocene. Since the instrumental climate data are biased towards low altitudes, glacier data offer an archive of high mountain climate that is subject to strong gradients and improve our knowledge on climate to remote regions during the instrumental period. For the development of forward and inverse models, the understanding of the glacier-climate relation is essential. Thus the relationships between different types of glaciological data measured worldwide must be studied on benchmark glaciers, where all kinds of glacier and climate data are available. In Austria, glacier mass balance is measured at Goldbergkees, Hallstaetter Gletscher, Hintereisferner, Jamtalferner Kesselwandferner, Kleinfleisskees, Mullwitzkees, Pasterzenkees, Stubacher Sonnblickkees, Vernagtferner, and Wurtenkees. Records on glacier length are available from 1891, currently more than 100 glaciers are surveyed. Glacier inventory data is available for 1969, and 1998. The project homepages are located at e.g. http://imgi.uibk.ac.at and http://www.zamg.ac.at . Political ideas: European and Austrian laws include the obligation for the authorities to survey the hydrological parameters. Project funders for mass balanace Hintereisferner, Kesselwandferner, Jamtalferner, Hallstaetter Gletscher and Mullwitzkees and glacier length changes: Amt der Oberoesterreichischen Landesregierung Austrian Alpine Club Energie AG Hydrographischer Dienst der Abteilung Wasserwirtschaft des Amtes der Tiroler Landesregierung Nationalpark Hohe Tauern Kommission fuer Geophysikalische Forschungen der Oesterreichischen Akademie der Wissenschaften Summary: The data represent annual values of the glacier mass balance measured with the direct glaciological method. The mass balance is calculated from ablation of ice measured at about 50 stakes and accumulation of snow measured in about 9 pits for the mass balance year from 1 October to 30 September of the following year. The data comprises the glacier area, the net mass balance for the total glacier area as well as specified for the ablation and accumulation area, the altitude of the equilibrium line (ELA) and the specific mass balance.