cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/a2104adc-e995-6789-e053-6c86abc0d557
title: Abundance of microbial phytoplankton through the water column during the AMT18 (JR20081003/JR218) cruise in October-November 2008.

description: This dataset contains depth profiles of the mean abundance of cyanobacteria and small (&lt;20 um) phytoplankton reported in cells per millilitre. Samples were measured using flow cytometry during the Atlantic Meridional Transect (AMT) cruise AMT18 (JR20081003/JR218). The samples were collected between October and November 2008 from 200 m to the surface, using a Seabird CTD system with a rosette of 24 Niskin bottles of 20 L volume. Samples were collected from the predawn and noon CTDs and were stored in a refrigerator and analysed within 3 hours of collection. In total 684 discrete samples were analysed and quantified using a Becton Dickinson FACSort flow cytometer which characterised and enumerated <em>Prochlorococcus</em> sp. and <em>Synechococcus</em> sp. (cyanobacteria) and pico- and eukaryotic phytoplankton, based on their light scattering and autofluorescence properties. Data were analysed onboard the ship during the cruise.
DOI: 10.14457/tu.the.2009.863
title: การดำเนินกิจกรรมด้านความรับผิดชอบต่อสังคมขององค์กรธุรกิจกับการพัฒนาชุมชน : กรณีศึกษาฝายชะลอน้ำชุมชนสาสบหก จังหวัดลำปาง
DOI: 10.14457/tu.the.2009.864
title: การจัดการการสื่อสารเกี่ยวกับความรับผิดชอบต่อสังคมด้านสิ่งแวดล้อมของศูนย์การค้าครบวงจรในประเทศไทย
DOI: 10.14457/tu.the.2009.865
title: การบริหารจัดการธุรกิจนิตยสารสัตว์เลี้ยง : กรณีศึกษานิตยสาร Dogazine และนิตยสาร Cat Magazine
DOI: 10.14457/tu.the.2009.866
title: กลยุทธ์การบริหารงานและการนำเสนอเนื้อหาในนิตยสารการศึกษา : กรณีศึกษา : เปรียบเทียบนิตยสาร "การศึกษาวันนี้" กับ นิตยสาร "U Challenge"
DOI: 10.18112/openneuro.ds002718.v1.0.1
title: Face processing EEG dataset for EEGLAB
DOI: 10.5281/zenodo.3763411
title: High-resolution cone-beam scan of twenty-one walnuts with two dosage levels

description: We release tomographic scans of 21 walnuts with two levels of radiation dosage for noise-level comparative studies in data analysis, reconstruction or segmentation methods. The dataset collected with higher dosage is referred to as the "<em><strong>good</strong></em>" <strong>dataset</strong>; and the other as the "<em><strong>noisy</strong></em>" <strong>dataset</strong>, as a way to distinguish between the two dosage levels. The dataset are acquired using the custom built and highly flexible CT scanner, FlexRay Lab, developed by XRE NV and located at CWI. This apparatus consists of a cone-beam microfocus X-ray point source that projects polychromatic X-rays onto a 1943-by-1535 pixels, 14-bit, flat detector panel. To reduce the sizes of the datasets the detector pixels were binned pair-wise to get 972-by-768 detector pixels. All datasets were collected over a 360 degrees in circular and continuous motion with 501 projections distributed evenly over the full circle. The uploaded datasets are not normalized; a single dark and two (pre- and post-) flat fields are included for each scan. Projections for both sets were collected with 100 ms exposure time with the good data projections averaged over 5 takes, and no averaging was made for the noisy data. The tube settings for the good and noisy dataset were 70kV, 45W and 70kV, 20W, respectively. The total scanning time were 20 minutes for the good; 3 minutes for the noisy scan. Each dataset is packaged with the full list of data and scan settings files (in .txt format). These files contain the tube settings, scan geometry and full list of motor settings. These dataset are produced by the Computational Imaging members at Centrum Wiskunde & Informatica (CI-CWI). For any useful Python/MATLAB scripts for FlexRay dataset, we refer the reader to our group's GitHub page. For more information or guidance in using these dataset, please get in touch with m.j.lagerwerf [at] cwi.nl s.b.coban [at] cwi.nl or
DOI: 10.5281/zenodo.3763412
title: High-resolution cone-beam scan of twenty-one walnuts with two dosage levels

description: We release tomographic scans of 21 walnuts with two levels of radiation dosage for noise-level comparative studies in data analysis, reconstruction or segmentation methods. The dataset collected with higher dosage is referred to as the "<em><strong>good</strong></em>" <strong>dataset</strong>; and the other as the "<em><strong>noisy</strong></em>" <strong>dataset</strong>, as a way to distinguish between the two dosage levels. The dataset are acquired using the custom built and highly flexible CT scanner, FlexRay Lab, developed by XRE NV and located at CWI. This apparatus consists of a cone-beam microfocus X-ray point source that projects polychromatic X-rays onto a 1943-by-1535 pixels, 14-bit, flat detector panel. To reduce the sizes of the datasets the detector pixels were binned pair-wise to get 972-by-768 detector pixels. All datasets were collected over a 360 degrees in circular and continuous motion with 501 projections distributed evenly over the full circle. The uploaded datasets are not normalized; a single dark and two (pre- and post-) flat fields are included for each scan. Projections for both sets were collected with 100 ms exposure time with the good data projections averaged over 5 takes, and no averaging was made for the noisy data. The tube settings for the good and noisy dataset were 70kV, 45W and 70kV, 20W, respectively. The total scanning time were 20 minutes for the good; 3 minutes for the noisy scan. Each dataset is packaged with the full list of data and scan settings files (in .txt format). These files contain the tube settings, scan geometry and full list of motor settings. These dataset are produced by the Computational Imaging members at Centrum Wiskunde & Informatica (CI-CWI). For any useful Python/MATLAB scripts for FlexRay dataset, we refer the reader to our group's GitHub page. For more information or guidance in using these dataset, please get in touch with m.j.lagerwerf [at] cwi.nl s.b.coban [at] cwi.nl or
DOI: 10.5281/zenodo.3763414
title: EUREC4A meso-scale cloud classifications

description: This dataset contains the manual cloud classifications of the EUREC4A field campaign time period as well as the post-processed data. The dataset is organised as following: <strong>zooniverse_raw:</strong> Originial output data from the platform zooniverse.org which has been used to create the classifications <strong>processed_data:</strong> <strong>EUREC4A_ManualClassifications_l1.nc:</strong> Geographical and Cartesian coordinates are added to each label <strong>EUREC4A_ManualClassifications_MergedClassifications.zarr.zip</strong>: labels are converted to masks and combined for each classification An example how to use the data can be found at github.com/observingClouds/EUREC4A_manualclassifications.
DOI: 10.5281/zenodo.3764257
title: Data for "A Comparison on the E-change Pulses Occurring in the Bi-level Polarity-opposite Charge Regions of the Intra-Cloud Lightning Flashes"

description: In a manuscript entitled “A Comparison on the E-change Pulses Occurring in the Bi-level Polarity-opposite Charge Regions of the Intra-Cloud Lightning Flashes”, lightning locations and electric field can be obtained through the following attachment. These files can be opened by MATLAB 2016 (or later). The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citations. Data named as “Example_IC_Flash” consists of locations and an E-change waveform. Each location data has four columns, representing x (km), y (km), z (km), and time (ms). The E-change data has two columns, namely to time (ms) and E-change amplitude (DU). The other Data are stored using the form of ‘.fig’. Researchers can open these figures directly by using MATLAB.
DOI: 10.14457/tu.the.2009.867
title: การรับรู้และความคิดเห็นของประชาชนในกรุงเทพมหานครที่มีต่อความเป็นสถานี "ครอบครัวข่าว 3"
DOI: 10.21227/hc9m-q842
title: BEHACOM

description: This dataset contains the behavioural data of 12 different users freely utilising their personal computers.The data collection period is composed of 55 days of user interaction, each user having their own activity periods.
DOI: 10.21227/tkzz-2543
title: BEHACOM

description: This dataset contains the behavioural data of 12 different users freely utilising their personal computers.The data collection period is composed of 55 days of user interaction, each user having their own activity periods.
DOI: 10.5281/zenodo.3763409
title: Hydromechanical Modeling of Nonplanar Three-Dimensional Fracture Propagation Using an Iteratively Coupled Approach

description: All the data of numerical simulation results shown in the paper.
DOI: 10.5281/zenodo.3763410
title: Hydromechanical Modeling of Nonplanar Three-Dimensional Fracture Propagation Using an Iteratively Coupled Approach

description: All the data of numerical simulation results shown in the paper.
DOI: 10.25386/genetics.12152196
title: Supplemental Material for Mak et al., 2020

description: This fileset contains supplementary figures, tables and files as indicated by their file names.
DOI: 10.25386/genetics.12152196.v1
title: Supplemental Material for Mak et al., 2020

description: This fileset contains supplementary figures, tables and files as indicated by their file names.
DOI: 10.25919/5ea1ffdf92290
title: Parkes observations for project P1063 semester 2020APRS_01

description: We propose to use the Parkes UWL receiver for monitoring a small sub-set of the FAST-discovered pulsars, with special properties. The Parkes UWL system provides a unique capability for studying the pulsars over wide bandwidths. The observation proposed will provide significant insight into the special emission properties of these new discoveries and facilitate science.
DOI: 10.3886/e117102v1-23889
title: Time Use and Stress

description: The Survey is about student’s time use and stress. The questionnaire was set up of several question blocks in the following order: estimation of overall stress level, coping mechanisms with stress, perceived burden of different life conditions, time estimations of different domains for an average day and the previous day, perception of time strain in these domains. The survey ended with an item block on background information and an item block about the circumstances in which the survey was completed. See the codebook for question wording and descriptives. The survey included five different questionnaire versions with no header, a header with a picture of a campus (placed left or right) and a header with a picuture of an auditorium (placed left or right). The last page of the survey gave participants the possibility to participate in a lottery with a 50 Euro Amazon coupon as an incentive. Common time taken to complete the survey was about 10 minutes. The survey was conducted in June 2015 and sent out among a probability sample of 10,000 students at a German university.
DOI: 10.5066/p9zkah3o
title: Groundwater-quality Data in the Redding-Red Bluff Shallow Aquifer Study Unit, 2018-2019: Results from the California GAMA Priority Basin Project

description: The U.S. Geological Survey collected groundwater samples from 50 wells used for domestic and small system drinking water supplies in Shasta and Tehama Counties, California in 2018-2019. The wells were sampled for the Redding-Red Bluff Shallow Aquifer Study Unit of the California State Water Resources Control Board Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project?s assessment of the quality of groundwater resources used for domestic and small system drinking water supplies. Domestic and small-system wells are commonly screened at shallower depths than public-supply wells. Wells in the study unit generally tap unconsolidated to moderately consolidated coarse and fine-grained sediments derived from the northern Coast Ranges to the west and the Cascade Range to the east. The Redding-Red Bluff Shallow Aquifer study unit included 11 groundwater subbasins of the Sacramento Valley groundwater basin (California Department of Water Resources, 2003) and was divided into two study areas: Redding (Enterprise, Millville, South Battle Creek, Bowman, Rosewood, and Anderson) and Red Bluff (Bend, Antelope, Dye Creek, Los Molinos, and Red Bluff). In each study area, the collective area of all one-mile square sections estimated to contain domestic wells (Johnson and Belitz, 2015) was divided into equal-area grid cells, and a well was sampled in each cell: Redding, twenty-five 48-square kilometer cells, and Red Bluff, twenty-five 43 square kilometer grid cells. Groundwater samples from all 50 wells were analyzed for field water-quality parameters and microbial indicators, volatile organic compounds, pesticides and pesticide degradates, major ions and trace elements, chromium (VI), perchlorate, nutrients, gross alpha and gross beta particle activities, carbon-14 in dissolved inorganic carbon, stable isotopic ratios of water, tritium, sulfur hexafluoride, and noble gases. Groundwater levels were measured in 41 of the 50 wells. All results are presented in this data release, except results for sulfur hexafluoride and noble gases. This data release supports the following publication: Groundwater quality in the Redding-Red Bluff Shallow Aquifer Study Unit of the Northern Sacramento Valley, California: U.S. Geological Survey Fact Sheet 2020?3025, 4 p., https://doi.org/10.3133/fs20203025.
DOI: 10.5519/qd.gz2r4fib
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1099 records)
DOI: 10.5281/zenodo.3763428
title: OpenBiodiv Archive

description: OpenBiodiv is a Knowledge Graph for Literature-Extracted Linked Open Data in Biodiversity Science [1] and is available via http://openbiodiv.net . This data publication contains a single gzipped rdf/nquads archive of all of the OpenBiodiv graph on 2020-04-20 provided by Mariya Dimitrova and uploaded to Zenodo by Jorrit Poelen. Files: openbiodiv.nq.gz - a gzipped rdf/nquads archive of OpenBiodiv openbiodiv.nq.sha256 - sha256 hash of (uncompressed) rdf/nquads archive. [1] Penev, L.; Dimitrova, M.; Senderov, V.; Zhelezov, G.; Georgiev, T.; Stoev, P.; Simov, K. OpenBiodiv: A Knowledge Graph for Literature-Extracted Linked Open Data in Biodiversity Science. <em>Publications</em> <strong>2019</strong>, <em>7</em>, 38. See also https://doi.org/10.3390/publications7020038 .
DOI: 10.5281/zenodo.3763429
title: OpenBiodiv Archive

description: OpenBiodiv is a Knowledge Graph for Literature-Extracted Linked Open Data in Biodiversity Science [1] and is available via http://openbiodiv.net . This data publication contains a single gzipped rdf/nquads archive of all of the OpenBiodiv graph on 2020-04-20 provided by Mariya Dimitrova and uploaded to Zenodo by Jorrit Poelen. Files: openbiodiv.nq.gz - a gzipped rdf/nquads archive of OpenBiodiv openbiodiv.nq.sha256 - sha256 hash of (uncompressed) rdf/nquads archive. [1] Penev, L.; Dimitrova, M.; Senderov, V.; Zhelezov, G.; Georgiev, T.; Stoev, P.; Simov, K. OpenBiodiv: A Knowledge Graph for Literature-Extracted Linked Open Data in Biodiversity Science. <em>Publications</em> <strong>2019</strong>, <em>7</em>, 38. See also https://doi.org/10.3390/publications7020038 .
DOI: 10.25850/nioz/7b.b.n/ilborj
title: README.txt
DOI: 10.26300/0mpw-9f40
title: Data from "Spatiotemporal patterning of acoustic gaze in echolocating bats navigating gaps in clutter"
DOI: 10.5519/qd.e156j88y
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.25919/5ea27dc7dd3d9
title: Canberra HDR Sky Images 2015/07 - July 2015

description: High dynamic range (HDR) 360 degree sky colour images taken every ten seconds (resolution 648 x 486 pixels) and every minute (resolution 2592 x 1944 pixels) from two cameras in Canberra.
DOI: 10.15468/ezrhxk
title: Notes on some crinoid associated decapod crustaceans (Crustacea: Decapoda) of Lakshadweep Archipelago, Central Indian Ocean

description: This dataset contains the digitized treatments in Plazi based on the original journal article Prakash, S., Marimuthu, N. (2020): Notes on some crinoid associated decapod crustaceans (Crustacea: Decapoda) of Lakshadweep Archipelago, Central Indian Ocean. Zootaxa 4766 (1): 86-100, DOI: 10.11646/zootaxa.4766.1.4
DOI: 10.18112/openneuro.ds002728.v1.0.0
title: sofie-8
DOI: 10.21227/9ayc-pp89
title: A dataset from semiconductor assembly and testing processes

description: A dataset from semiconductor assembly and testing processes is used to evaluate the model selection prediction method. The response variable refers to the throughput rate of a specific machine–product combination in one of the assembly and testing process steps based on historical data. This data set includes 1 response variable, 5 categorical machine and product attributes and 11 numerical attributes. The dataset contains 13186 observations.
DOI: 10.21227/n6jw-2337
title: A dataset from semiconductor assembly and testing processes

description: A dataset from semiconductor assembly and testing processes is used to evaluate the model selection prediction method. The response variable refers to the throughput rate of a specific machine–product combination in one of the assembly and testing process steps based on historical data. This data set includes 1 response variable, 5 categorical machine and product attributes and 11 numerical attributes. The dataset contains 13186 observations.
DOI: 10.15468/z66khn
title: Description of Pallisentis thapari n. sp. and a re-description of Acanthosentis seenghalae (Acanthocephala, Quadrigyridae, Pallisentinae) using morphological and molecular data, with analysis on the validity of the sub-genera of Pallisentis

description: This dataset contains the digitized treatments in Plazi based on the original journal article Gautam, Neelam Kumari, Misra, Pawan Kumar, Saxena, Anand Murari, Monks, Scott (2020): Description of Pallisentis thapari n. sp. and a re-description of Acanthosentis seenghalae (Acanthocephala, Quadrigyridae, Pallisentinae) using morphological and molecular data, with analysis on the validity of the sub-genera of Pallisentis. Zootaxa 4766 (1): 139-156, DOI: 10.11646/zootaxa.4766.1.7
DOI: 10.18739/a2gx44v1p
title: Firn temperatures and measurement depths at nine Greenland Climate Network (GC-Net) weather stations, 1998-2017

description: This dataset contains the firn temperature measurements and estimated measurement depth from nine GC-Net stations: CP1, Dye-2, NASA-SE, Saddle, NASA-U, NASA-E, Summit and Tunu-N. They were produced for, and described in Vandecrux et al. (2020, https://doi.org/10.1017/jog.2020.30). Firn temperature were filtered from obvious erroneous measurements and from measurement noise. Measurement depth were calculated from installation depth and updated for accumulation of new snow at the surface and compaction of snow and firn above the sensor. Raw data used to produced this dataset is available at http://cires1.colorado.edu/steffen/gcnet/.
DOI: 10.18739/a2v698c33
title: Gap-filled meteorological data and surface energy balance at nine Greenland Climate Network (GC-Net) stations over 1998-2017

description: This dataset contains the hourly gap-filled meteorological data at nine GC-Net stations: CP1, Dye-2, NASA-SE, Saddle, South Dome, NASA-E, NASA-U, Summit, Tunu-N for the period 1998-2017. Meteorological variables include: adjusted snow fall rate from surface height sounder air temperature at 2 meter (m) height, relative humidity at 2 m hieight, wind speed at 10 m height. The dataset also comprises surface energy budget components: upward and doward shortwave and longwave radiative fluxes, sensible and latent heat fluxes (and subsequently sublimation/deposition), conductive heat flux into the subsurface, surface temperature and surface melt. These data were prepared for, and fully described in Vandecrux et al. (2020, https://doi.org/10.1017/jog.2020.30). For their calculation, raw data from the GC-Net stations (available at http://cires1.colorado.edu/steffen/gcnet/) were filtered from erroneous measurements and gap-filled using either nearby automatic weather stations or from adjusted RACMO2.3p2 regional climate model output. Downward longwave radiation is not monitored by the GC-Net stations and is therefore directly taken from RACMO2.3p2. Upward shortwave radiation was gap-filled using gap-filled downward shortwave radiation and daily MODIS albedo. The surface energy budget calculation uses the Monin-Obhukov similarity theory accounting for the near-surface atmosphere stratification.
DOI: 10.18112/openneuro.ds002729.v1.0.0
title: Human es-fMRI Resource: Concurrent deep-brain stimulation and whole-brain functional MRI
DOI: 10.5281/zenodo.3755572
title: uEMEP startup configuration and data file for GMD uEMEP model description publication

description: These zip files contain the configuration and example data files for running uEMEP to reproduce the results in the uEMEP model description GMD publication (DOI: ?). Code and make files are accessible through github or through the associated repository here (DOI: 10.5281/zenodo.3756008). The zip files, once installed, allow the simulation of one day 01.01.2017. The example simulation is limitted to one day due to the size of the daily EMEP files used and the NORTRIP road dust emissions files. EMEP data for the rest of the year is accessible though 'https://thredds.met.no/thredds/catalog/data/fou-kl/uEMEP/EMEP4NO/EMEP4NO_rerun_2017_v2/catalog.html' if a complete calculation for a year, as appears in the publication, is to be made (size 5.8 GB per day). The remaining NORTRIP files for 2017 are available on request (70GB zipped file). The 'uEMEP_demo_startup_files.zip' zip file contains a bash script 'uEMEP_script_demo_startup.sh' and configuration files for calculating this day. The config file 'uEMEP_EMEP_config_hourly_default_startup_v1.txt' is the main default configuration file for uEMEP which contains explanations of the variables. Two simulations are possible with additional configuration files. One that reproduces a mapping calculation for a small region of Oslo 'Oslo_100m_5km.txt' and one that will calculate concentrations only at positions of specified measurement site receptors in norway 'uEMEP_EMEP_extra_config_Norway_station_startup_v1.txt'. It is necessary to change the route directories in the config files and the script file after installation and to tailor the script file to own machines and que systems. Example log files from the two runs are included along with the resulting uEMEP output for the simulations to check reproducability. Also included is 'matlab_plotting_scripts.zip', which contains the matlab scripts used to plot the validation results shown in the GMD article.