cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.821654
title: Protein Structure Initiative - Targettrack 2000-2017 - All Data Files

description: <strong>Protein Structure Initiative - TargetTrack protein target registration database (795 MB, gzipped tarball)</strong>

The Protein Structure Initiative was a high-throughput structural genomics effort from 2000-2015 focused on developing technologies to enable greater coverage of protein structure space. Over its 15-year tenure, over 100 investigators at 35 centers (see ContributingCenters.xls) declared over 350,000 protein sequences (targets) that they would study using state-of-the-art protein production and structure determination methods.  Many of these targets were selected through bioinformatics-based methods to serve as representatives for sequence and structure clusters. 

From 2003-2010, these selected sequences and some basic identifying metadata were kept in a database called TargetDB, created at the Research Collaboratory for Structural Bioinformatics at Rutgers University. In 2008, a second database named PepcDB was created to track detailed experimental trial history and the standard protocols used by the PSI centers. These two databases became the principal structural genomics target databases, and were rolled into the <strong>PSI Structural Biology Knowledgebase</strong> in 2008. 

As part of the third phase of the PSI, TargetDB and PepcDB were merged into a single resource, <strong>TargetTrack</strong>, to facilitate one-stop access to the data as well as expanding the schema to include new required data items.  Participating centers deposited the latest status on their active targets and the protocols that were used (along with any deviations) on a weekly or quarterly basis.  TargetTrack provided a variety of pre-computed data downloads on a weekly basis as well. 

In July 2017, the Structural Biology Knowledgebase ceased operations.  The files provided in this tarball represent the final datafiles generated by TargetTrack (timestamp June 30, 2017).  <strong>Please read the README included in this dataset for descriptions of each file. </strong>

<strong>The entire TargetTrack datafile in XML format can be found in /TargetTrack XML files/tt.xml.gz</strong>

Key documentation can be found in the /Documentation folder.<br>
TargetTrack schema: targetTrack-v1.4.1.pdf<br>
Spreadsheet with TargetTrack enumerations for relevant fields: targetTrackEnumeratedDataItems-v1.4.1-1.xls<br>
Image depicted the XML data schema: targetTrack-v1.4.1.jpg

These files are 868 MB in total size, uncompressed. <br>
To open the tarball, use the command 'tar -zxvf TargetTrack-1Jul2017.tar.gz'

-- created by the PSI Structural Biology Knowledgebase, July 5, 2017
DOI: 10.5676/dwd/esa_cloud_cci/avhrr-pm/v003
title: ESA Cloud_cci cloud property datasets retrieved from passive satellite sensors: AVHRR-PM L3C/L3U cloud products - Version 3.0
DOI: 10.6084/m9.figshare.14685441
title: Data, code and model of BG

description: The datasets contain the model of CNMM-DNDC, the ouput data for Figs. 1-3 and the code of NEST module.
DOI: 10.6084/m9.figshare.20368464.v2
title: Geophysical and vegetation data on three landslides in the Franconian Jura

description: This dataset provides Electrical resistivity data, tensile strength data of Scots Pine, root area ratio and root cohesion data used in the manuscript " Geology and vegetation control landsliding on forest-managed slopes in scarplands".
DOI: 10.17864/1947.000321
title: ERA5 derived time series of European aggregated surface weather variables, wind power, and solar power capacity factors: hourly data from 1950-2020

description: The ERA5 reanalysis (1950-2020) has been used to calculate hourly time series of surface meteorological variables useful for energy meteorology studies, as well as degree-days, wind power, and solar power capacity factors. These are calculated at European national level, as well as for a sub-set of smaller regions over the UK and surrounding seas. The locations of wind and solar farms operational in April 2021 are used to weight wind and solar capacity factors respectively. 2020 population data is used to weight surface meteorological variables. The datasets have been produced to increase the use of meteorological data within power system modelling. When citing this dataset please refer to the publication: Hourly time series of calibrated historical and near-future energy-meteorology variables for energy system modelling (see related CentAUR publications).
DOI: 10.21944/7ypj-wn68
title: EURADCLIM: The European climatological gauge-adjusted radar precipitation dataset (1-h accumulations)

description: The European climatological gauge-adjusted radar precipitation dataset, EURADCLIM, addresses the need for an accurate (sub-)daily precipitation product covering 8000000 square kilometers of Europe at high spatial resolution. It consist of 1-h and 24-h precipitation accumulations (every clock-hour) at a 2-km grid for the period 2013 through 2020. It is based on the European Meteorological Network (EUMETNET) Operational Program on the Exchange of weather RAdar Information (OPERA) gridded radar dataset of 15-min instantaneous surface rain rates. For EURADCLIM, first methods have been applied to further remove non-meteorological echoes from these images by applying two statistical methods and a satellite-based cloud type mask. Second, the radar composites are merged with the rain gauge data from the European Climate Assessment & Dataset (ECA&D) in order to substantially improve its quality. We expect to rerun EURADCLIM once a year over the entire period, using all available ECA&D rain gauge data, and extend it with one year of data. This will result in a new version of this dataset.
DOI: 10.25326/128
title: SAFIRE ATR42: Turbulence Data 25 Hz

description: During the EUREC4A field experiment, the French ATR 42 environmental research aircraft of SAFIRE was dedicated to the exploration of the cloud amount and of the subcloud layer structure within a larger scale circle jointly described by the German HALO research  aircraft. The SAFIRE ATR42 aircraft was equipped with a 5-hole nose radome, and several temperature and humidity sensors, for measurements of the three wind components, temperature and humidity at fast rate (25 Hz). Those high frequency measurements allow us to estimate the turbulent moments and to study the turbulence structure of the subcloud layer, as well as the fine thermodynamical structure of the cloud base level.

The turbulence moments are calculated on stabilized legs, (i) after detrending and (ii) after high-pass filtering at cut-off wavelength of approximately 5 km. The two kinds of calculation give access to the homogeneity of the sample and to random and systematic sampling errors.
For all stabilized legs of all processed flights, a set of turbulence moments or characteristics are available, as well as the high rate fluctuations.

The dataset includes two kinds of data:
- Turbulent moments, calculated over each segment, from filtered and unfiltered series. Those are supplied in netcdf files, with one file per flight, for the two sets of shorter (30 km) or longer (60 km) segments.
- The fluctuations over each segment are also made available (detrended and high-pass filtered series), for the three sets of shorter (30 km), longer (60 km) and longest segments (as long as possible on each leg, i.e. composed of segments of different lengths from 60 to 125 km). For this, each flight directory includes a set of netcdf files associated with all segments or legs, with one file per segment.

For those two types of data, two levels of data processing are considered:
- Level 2: Complete files of turbulent moments and fluctuations, using both humidity sensors and both temperature sensors (all moments calculated with individual sensors are available), together with a quality flag.
- Level 3: `Best estimates' of turbulent moments and fluctuations, , and corresponding quality flag (for each segment, the moments and fluctuations are computed from the sensor that has the best quality flag).
DOI: 10.25326/77
title: Microwave Radiometer Measurements RV Meteor, EUREC4A

description: <p>Microwave radiometer measurements from a Humidity and Temperature Profiler (HATPRO) collected on the RV Meteor during the EUREC4A field campaign from 17.01.2020 to 19.02.2020 in the Caribbean Sea close to Barbados. The data set consists of level 1 (spectral brightness temperatures) and level 2 (2a: Liquid Water Path (LWP), Integrated Water Vapor (IWV); 2b: absolute humidity, temperature from zenith observations; 2c: temperature, relative humidity from scans) data. Additionally data from the Atlantic crossing after the campaign from 19.02.2020 to 29.02.2020 is also available.</p>
DOI: 10.5281/zenodo.13893217
title: Resources of "Evolving antibody response to SARS-CoV-2 antigenic shift from XBB to JN.1"

description: Resources of the article "Evolving antibody response to SARS-CoV-2 antigenic shift from XBB to JN.1". See https://github.com/yunlongcaolab/SARS-CoV-2-JN.1-mAbs for future updates.
DOI: 10.5281/zenodo.2650098
title: Precursor dataset CNk4

description: Dataset for TotalControl flow database precursor simulation of a conventionally neutral atmospheric boundary layer flow (Casename CNk4).

Further information, including description of the case and dataset can be found in the deliverable report at: 

Andersen SJ, Meyers J, Munters W, Sood I, Troldborg N. "Flow Database for reference wind farms part 1: precursor simulations"
DOI: 10.5281/zenodo.2650102
title: Precursor dataset PDkhi

description: Dataset for TotalControl flow database precursor simulation of a pressure-driven high Reynolds number boundary layer flow (Casename PDkhi).

Further information, including description of the case and dataset can be found in the deliverable report at: 

Andersen SJ, Meyers J, Munters W, Sood I, Troldborg N. "Flow Database for reference wind farms part 1: precursor simulations"
DOI: 10.5281/zenodo.3517180
title: 4STAR datasets (Oil Sands Measurement Campaign 2018)

description: These are the datasets acquired with the NASA 4STAR (Spectrometers for Sky-Scanning, Sun-Tracking Atmospheric Research) instrument during the Oil Sands Measurement Campaign 2018 based out of Fort McMurray, Alberta. The 4STAR primary output is aerosol optical depth indicative of the total column vertical extinction due to aerosols. For more information see the included 'readme.doc' file as well as the associated technical report (Baibakov et al, 2019). Baibakov, K., LeBlanc, S., Molani, K., Wolde, M., Pistone, K., Flynn, C., Redemann, J. and Johnson, R. (2019), 4STAR hyperspectral sunphotometry measurements during the Oil Sands 2018 campaign near Fort McMurray, Alberta, NRC technical report, 108 p., https://doi.org/10.5281/zenodo.3517172.
DOI: 10.5281/zenodo.4568482
title: Data for "Gaining Hydrological Insights Through Wilk's Feature Importance: A Test-Statistic Interpretation method for Reliable and Robust Inference"

description: Daily timestep dataset including streamflows of three irrigation drainage basins; four irrigation canal flow data; precipitation, temperature and evaporation data.
DOI: 10.5281/zenodo.7512255
title: 3-D model data used to investigate the role of K-feldspar and quartz in global ice nucleation by mineral dust in mixed-phase clouds

description: These simulations were run by Chemical Transport Model TM4-ECPL covering the years 2009-01 to 2016-12 and are used for the bellow publication: Chatziparaschos, M., Daskalakis, N., Myriokefalitakis, S., Kalivitis, N., Nenes, A.,<br> Gonçalves Ageitos, M., Costa-Surós, M., Pérez García-Pando, C., Zanoli, M., Vrekoussis,<br> M., and Kanakidou, M.: Role of K-feldspar and quartz in global ice nucleation by mineral dust in mixed-phase clouds,<br> Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-551, in press 2023. Laboratory: Environmental Chemical Processes Laboratory (EPCL), Department of Chemistry, University of Crete, Heraklion.<br> contact: Kanakidou Maria &lt;mariak@uoc.gr&gt; Model resolution: 2x3<br> Model Levels: 25 Data info: DU_m2m(time, lev, lat, lon)<br> short_name :DU_m2m<br> long_name : Dust mode 2 mass accumulation DU_m3m(time, lev, lat, lon)<br> short_name : DU_m3m<br> long_name : Dust mode 3 mass coarse qua2_acc(time, lev, lat, lon)<br> short_name :qua2_acc<br> long_name :Quartz – accumulation mode qua2_coa(time, lev, lat, lon)<br> short_name :qua2_coa<br> long_name :Quartz – coarse mode FEL_acc(time, lev, lat, lon)<br> short_name :FEL_acc<br> long_name : K-Feldspar – accumulation mode FEL_coa(time, lev, lat, lon)<br> short_name :FEL_coa<br> long_name : K-Feldspar – coarse mode INP_QUA(time, lev, lat, lon)<br> short_name :INP_QUA<br> long_name :Ice Nucleating Particles derived form Quartz INP_FELD(time, lev, lat, lon)<br> short_name :INP_FELD<br> long_name :Ice Nucleating Particles derived form K-Feldpsar
DOI: 10.5523/bris.3c1l2q7u1x14a262m6z7hh0c4r
title: Bare-earth ArcticDEM

description: This data is the bare-earth ArcticDEM we created for the City of Helsinki, Finland. This data repository also includes data that associates with the paper named 'Bare-earth DEM Generation from ArcticDEM, and Its Use in Flood Simulation'.
DOI: 10.6084/m9.figshare.14827959
title: Convective Heat Transfer of Spring Meltwater Accelerates Active Layer Phase Change in Tibet Permafrost Areas

description: The item provides the results of a control experiment about investigating the impacts of convective heat transfer (CHT) on permafrost active layer thermal regime. We applied the Simultaneous Heat and Water (SHAW) model to investigate the impacts of CHT on active layer thermal dynamics on the TGL site, a typical permafrost site located at the eastern Qinghai-Tibetan Plateau. The control experiment includes three setups: (1) the original SHAW model with full consideration of CHT; (2) a modified SHAW model ignoring the CHT due to infiltration from the surface, and (3) a modified SHAW model ignoring complete CHT processes in the system. By comparing the differences between the simulated soil temperature and water content of the three setups, the impacts of CHT on active layer could be quantified.<br>To ensure that the experiment at TGL was not and exception, we performed a similar simulation at another permafrost site (coded QT08) on the QTP to verify results of CHT. The results of QT08 are also provided.<br>The source codes of Simultaneous Heat and Water (SHAW) Model are available on the USDA Agricultural Research Service website (https://www.ars.usda.gov/pacific-west-area/boise-id/northwest-watershed-research-center/docs/shaw-model/, accessed November 29, 2021). The meteorological driving data and measured temperature and moisture data of the active layer at the Tanggula site under study can be downloaded from National Cryosphere Desert Data Center (https://www.ncdc.ac.cn/portal/, accessed November 29, 2021). The China Meteorological Forcing Dataset, which was used as the driving force in the QT08 simulation, can be obtained from National Tibetan Plateau Data Center (https://data.tpdc.ac.cn/, accessed January 24, 2022).<br><br>This dataset is linked to the article (https://doi.org/10.5194/tc-2021-191) being considered for publication on The Cryosphere.<br><br>
DOI: 10.25919/5dce30cad79a8
title: 9s climatology for continental Australia 1976-2005: BIOCLIM variable suite

description: A suite of 9s resolution BIOCLIM climate surfaces for the Australian continent. This collection represents a 30 year average centred on 1990 for the standard set of 35 BIOCLIM variables. Data are provided as zipped ESRI float grids: Binary float grids (*.flt) with associated ESRI header files (*.hdr) and projection files (*.prj). After extracting from the zip archive, these files can be imported into most GIS software packages, and can be used as other binary file formats by substituting the appropriate header file. Additionally a short methods summary is provided in the file 9sClimateMethodsSummary.pdf for further information, including a nomenclature for files.
DOI: 10.17632/3rgvkf7c9n.2
title: SMILES and physicochemical parameters - pinene, decane, toluene oxidation products

description: This dataset includes 182,127 SMILES strings generated by 5 generations of oxidation using the GECKO-A model for alpha-pinene, decane, and toluene under typical continental atmospheric conditions. For each compound, physicochemical parameters (vapor pressure, Henry's law constant, and gas phase reaction rate constant with the hydroxyl radical) are estimated using several structure-activity relationships. Compounds are flagged according to in which oxidation systems they exceed a threshold of 0.1% of total modeled mass of their given molecular formula. Descriptions of this dataset and the parameter estimation are provided in Isaacman-VanWertz and Aumont, "Impact of organic molecular structure on the estimation of atmospherically relevant physicochemical parameters", Atmospheric Chemistry and Physics. The subset of compounds 38,594 compounds used in the core analyses of that work are also flagged.
DOI: 10.5281/zenodo.6552301
title: A benchmark dataset of diurnal- and seasonal-scale radiation, heat and CO2 fluxes in a typical East Asian monsoon region

description: A benchmark dataset include 30-min meteorology and eddy flux variables at four sites with two typical surface types (i.e., SX-cropland, DT-cropland, XZ-suburb, and DS-suburb) in the Yangtze River Delta of China.<br> SX-cropland: 15 Jul 2015–24 Apr 2019<br> DT-cropland: 1 Dec 2014–30 Nov 2017<br> XZ-suburb: 27 Mar 2014–22 Jan 2017<br> DS-suburb: 16 Apr 2011–1 Jan 2019
DOI: 10.11583/dtu.13395953
title: Dataset and input files for "Evaluation of idealized large-eddy simulations performed with the Weather Research and Forecasting model using turbulence measurements from a 250-m meteorological mast"

description: Here you find the observational and simulated data, as well as the input files used for the WRF simulations presented in the manuscript "Evaluation of idealized large-eddy simulations performed with the Weather Research and Forecasting model using turbulence measurements from a 250-m meteorological mast"<br>The list of files are:<br>namelist_XXXX: the namelist.input files for the WRF simulationsinput_sounding_XXXX: the input sounding files used to initialize the simulationsXXXX_YYYY_table: comma separated values of the mean and standard deviation of a number of variables to reproduce the figures in the manuscript XXXX: atmospheric stability regime (unstable, neutral, stable)YYYY: observed or simulated data
DOI: 10.15784/601351
title: Ohio Range Subglacial rock core cosmogenic nuclide data

description: The data set consists of cosmogenic berrylium-10 and aluminum-26, along with neon-21, in a set of 4 rock-cores obtained from the Ohio Range, West Antarctica. The rock cores were obtained using the WInkie drill. The depth to the cores varies from 12 meters to 28 meters. The recovered rock cores analyzed for the cosmogenic isotopes varies from 22 cm long to 50 cm long. The data include the following formation: sample details, cosmogenic berrylium-10, aluminum-26 and upper bounds for cosmogenic 21 (since samples have nucleogenic 21) and the step heating data for neon. The data are in Mircrosoft excel format.
DOI: 10.1594/pangaea.919946
title: LES results to accompany measurements at the POLARSTERN Research Vessel during the PASCAL field campaign on 7 June 2017

description: This archive contains Large Eddy Simulation (LES) results to accompany measurements made at the Polarstern Research Vessel during the PASCAL field campaign on 7 June 2017, when the Polarstern was located in the sea ice north of Svalbard. The Dutch Atmospheric Large-Eddy Simulation model (DALES) was applied, adopting a Lagrangian framework that follows domains as embedded in relatively warm air masses as they moved towards the Polarstern. The simulated doubly periodic domain has a size of 2.56x2.56x1.28 km, discretized at a resolution of 20x20x10 m. The domain arrives at the Polarstern at 10:48 UTC on 7 June 2017 coinciding with a radiosonde release. The Polarstern was located at 10.93 E, 81.18 N.The large-scale forcings are derived from ECMWF analysis and forecast data. Adjustments were made in the initial profiles to correct for biases in the analysis state concerning inversion height, mixed layer temperature and the presence of Specific Humidity Inversions (SHI). This adjustment technique is described in detail by Neggers et al. (2019, doi:10.1029/2019MS001671). Two experiments are included in this archive: a control experiment including an SHI, and an additional experiment with the SHI removed. The configuration of the experiments is fully described by Egerer et al. (2020, doi:10.5194/acp-2020-584).
DOI: 10.17183/refmar
title: Données du réseau de référence des observations marégraphiques (REFMAR)

description: Le Shom est le référent national pour le niveau de la mer in situ sur l'ensemble des zones sous juridiction française. À ce titre, il assure sous l'acronyme REFMAR différentes fonctions de coordination en matière de collecte et de diffusion des données publiques relatives à l'observation de hauteurs d'eau, de manière à promouvoir leur utilisation dans de multiples applications dans le cadre des recommandations internationales.
DOI: 10.17632/g75hgmypbw.1
title: Complex 40Ar/39Ar age spectra from low metamorphic grade rocks, Delamerian Orogen, Reid et al

description: 40Ar/39Ar data collected by furnace step heating methods from rocks of the Delamerian Orogen, South Australia.
DOI: 10.17864/1947.000331
title: Future climate projections of surface weather variables, wind power, and solar power capacity factors across North-West Europe

description: The files contain hourly time-series of weather and energy variables which have been climate-adjusted to include the impact of climate change from five different climate model simulations, with the climate change impacts centred on the year 2035 (i.e. the mean change seen from 2020-2050). The climate-adjustment is implemented as a delta climate-change correction to observed historic weather data from the ERA5 reanalysis (which is also supplied alongside for convenience). Hourly time series of surface meteorological variables useful for energy meteorology studies have been supplied (e.g. 2m temperature, near-surface wind speeds and surface solar irradiance), as well as heating/cooling degree-days, wind power capacity factors, and solar power capacity factors. The time series are calculated at national level across a sub-set of countries over North-West Europe, as well as for a sub-set of smaller regions over Great Britain and its surrounding seas. The locations of available wind and solar farms are used to weight wind and solar capacity factors respectively. 2020 population data is used to weight surface meteorological variables. The datasets have been produced to increase the use of meteorological data within power system modelling. When citing this dataset please refer to the publication: Calibrated hourly historical and near-future energy-meteorology variables for energy system modelling (see related CentAUR publications).
DOI: 10.21252/5ag3-ta31
title: PRELIM Main Survey (2017)

description: These data were produced by the PRELIM project, funded by Arthritis Research UK/Versus Arthritis. The dataset comprises individual patient data, de-identified, from respondents to a cross-sectional survey of health and care undertaken in 11 general practices in 2017 and sampling two overlapping groups: (i) patients aged 35+ years who consulted for a selected common musculoskeletal condition in the previous 12 months, (ii) a random sample of the registered population (irrespective of consultation) aged 35+ years.