cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11371962
title: MPT-Library 2.0

description: This dataset is a continuation and supersedes the original version of MPT-Library (https://zenodo.org/records/4876371) which only considered non-magnetic and weakly magnetic objects. 

This new version builds on the previous work by incorporating our group's recent developments regarding using prismatic boundary layer elements and p-refinement to account for the thin skin depths present in highly magnetic objects and a significantly more efficient postprocessing. This new library includes more realistic materials and geometries, including both highly magnetic and composite materials. There are approximately 200 objects that are included in this library ranging from non-threat objects, such as jewellery and clothing, to threat objects, such as knifes and firearms. We have endevoured to make realistic assumptions about materials and geometries. 

The library includes numerical results, graphs, meshes, and input files generated by the open-source MPT-Calculator software available at https://github.com/MPT-Calculator/MPT-Calculator (v.1.5.0).

We gratefully acknowledge the financial support received from EPSRC in the form of grant EP/V009028/1.
DOI: 10.7289/v500001j
title: U.S. Coastal Relief Model Vol.6 - Southern California

description: NGDC's U.S. Coastal Relief Model (CRM) provides the first comprehensive view of the U.S. coastal zone integrating offshore bathymetry with land topography into a seamless representation of the coast. The CRM spans the U.S. East and West Coasts, the northern coast of the Gulf of Mexico, Puerto Rico, and Hawaii, reaching out to, and in places even beyond, the continental slope. Bathymetric and topographic data sources include: NGDC's NOS hydrographic surveys, multibeam bathymetry, and trackline bathymetry; the U.S. Geological Survey (USGS); and other federal government agencies and academic institutions. Bathymetric contours from the International Bathymetric Chart of the Caribbean Sea and the Gulf of Mexico project were also used. Digital elevation models (DEMs) of the Great Lakes, Southern Alaska, and high-resolution DEMs of U.S. coastal communities and territories are also available.
DOI: 10.1285/i24212113v10i1p1
title: Navigating challenges and fostering resilience: Changes in work practices of Italian residential child care professionals during the COVID-19 lockdown

description: The COVID-19 syndemic presented significant challenges to welfare communities. Drawing upon an online survey from 366 Italian professionals working in residential child care (RCC), this study investigates changes in their work practices during the COVID-19 lockdown, focusing on critical issues and useful emerging practices and competences. Analysis show convergences in the experiences of educators and managers and changes in educational and organizational issues in different phases of lockdown. Among the critical issues are children's wellbeing, space reorganization, and the emotional costs of containing externalizing symptoms. Resources include communication with children and an increase in internal cohesion. The lockdown also brought expansion of professional competencies such as emotional support skills, adaptability, and creativity. Ultimately, our results highlight an organizational resiliency capacity of RCC units in the face of such a disruptive event. We discuss the implications for welfare community practices and propose areas for future research and improvement.
DOI: 10.15783/c7j010
title: CRAWDAD dataset epfl/mobility (v. 2009-02-24)

description: This dataset contains mobility traces of taxi cabs in San Francisco, USA. 
It contains GPS coordinates of approximately 500 taxis collected over 30 days 
in the San Francisco Bay Area.
description: Changelog: the initial version
DOI: 10.18139/nndc.ensdf/1845010
title: Evaluated Nuclear Structure Data File (ENSDF)

description: Contains recommended nuclear structure and decay data for all the known nuclides, which are obtained following a critical review of all available experimental data, supplemented with systematic trend studies and theoretical models. ENSDF data include (i) nuclear level properties, such as observation source, energy, half-life, decay modes, spin and parity; (ii) gamma ray energies, intensities, multipolarities, mixing ratios and conversion coefficients; (iii) nuclear radiation energy and intensity as well as radiation-specific data for different radiation types, such as such as gammas, alphas, betas and neutrons. Data for about 220 nuclides are fully evaluated each year; additionally, many datasets are partially updated each year. Nearly all the evaluation work is supported by the US Nuclear Data Program. The National Nuclear Data Center at Brookhaven National Laboratory is responsible for coordinating the evaluation effort as well as its web and journal dissemination.
DOI: 10.21944/temis-uv-msr2-v2
title: TEMIS UV index and UV dose MSR-2 data products, version 2

description: The TEMIS UV index and UV dose data are computed from the assimilated global ozone field at local solar noon, i.e. at the moment the Sun is highest in the sky, which in case of the UV dose is combined with the daily variation of the position of the Sun above the horizon. The UV data products are made for specific action spectra: erythemal UV index, erythemal UV dose, vitamin-D UV dose, dna-damage UV dose. The assimilated global ozone field used for this record is the Multi-Sensor Reanalysis (MSR-2) ozone record [Van der A et al, 2015, doi:10.5194/amt-8-3021-2015; dataset doi:10.21944/temis-ozone-msr2], which initially covered the years 1970-2012. This period has been and will be regularly extended to include subsequent years. In 2023 data over 1970-1979 was recalculated with updated ozone measurements and at the same time extended backwards to 1960. Clear-sky UV index and clear-sky UV dose data cover the whole world; cloud-modified UV dose data is not provided for the MSR data record. For more information, see http://www.temis.nl/uvradiation/product/
DOI: 10.22002/h2f92-ejv09
title: Community Seismic Network Earthquake Dataset: http://csn.caltech.edu/data/

description: Acceleration waveform time series recorded by Community Seismic Network (CSN) strong-motion stations for select California and global earthquakes. The data can be downloaded from the Community Seismic Network's publicly-available website: http://csn.caltech.edu/data/. Community Seismic Network stations are all three-component accelerometers, and each file corresponds to a single station-component. Most files contain approximately five minutes of continuous waveform data, with at least one minute of pre-event waveform. Filenames indicate station, component, and start time. File formats are all Seismic Analysis Code (SAC) binary format. Metadata including station location, sample rate, start time, time series length, and floor level are stored in each file's header. Data are all raw with no processing applied. Amplitude units of all files are gravitational acceleration, g (9.8 m/s*s), and time units are seconds. All times are in Universal Time Coordinated (UTC) time zone.
DOI: 10.23668/psycharchives.14414
title: Dataset for: Do Perceived Benefits Compensate for low Provider Trustworthiness in Disclosure Decisions? An Experimental Investigation

description: People regularly receive algorithm-based recommendations (e.g., in social media and online shopping). Today, such algorithmic recommendations cover a wider range of applications, such as finding recipes that match an individual’s needs and food preferences. To give better-fitting recommendations, algorithms incorporate large amounts of personal information about the individual, which raises the issue of privacy concerns. When are people willing to share such information that can then be considered by algorithms? While previous research has indicated that perceived benefits of platform use and provider trustworthiness influence whether people are willing to disclose personal information, these studies often have two major limitations: they are either survey-based – thus, not allowing causal conclusions – or lack realistic usage (i.e., rely on vignettes). Thus, in the present experimental study (N = 329), we manipulated provider trustworthiness and asked participants about their willingness to disclose information directly after interacting with an algorithm-based system for recipe recommendations. Results indicate that higher perceived benefits and provider trustworthiness are related to more willingness to disclose information. However, these effects are independent of each other. Thus, the present research suggests that provider trustworthiness causally leads to a higher willingness to share information and high benefits do not compensate for low provider trustworthiness.
DOI: 10.24432/c5z60n
title: Thoracic Surgery Data
DOI: 10.25345/c50k26g78
title: MassIVE MSV000090804 - Alexa'S Samples which have been analysed to find a very interesting molecule
title: Samples were run in a collaborate project; Data is shared for molecular networking
DOI: 10.48529/tyd0-f528
title: Poverty and Living Conditions Survey  2014-2015
title: MMR_2015_MPLCS_v01_M
DOI: 10.5066/p94y5cdv
title: Biome-wide sagebrush core habitat and growth areas estimated from a threat-based conservation design

description: These data were compiled as a part of a landscape conservation design effort for the sagebrush biome, and are the result of applying a spatially explicit model that assessed geographic patterns in sagebrush ecological integrity and used these results to identify Core Sagebrush Areas (CSAs), Growth Opportunity Areas (GOAs), and Other Rangeland Areas (ORAs). Our overall objective in this study was to characterize geographic patterns in ecological integrity of sagebrush ecosystems. These data represent the estimated integrity of sagebrush ecosystems, estimated from a spatial model that assigns high integrity is areas with abundant big sagebrush and perennial grass/forb cover and with minimal annual grass/forb cover, minimal conifers, [...]
DOI: 10.5066/p9a3oj9b
title: South America Geologic Map (geo6ag)

description: South America is part of Region 6 (Central and South America) for the World Energy Assessment. The geologic map of South America was digitized so that we could use the geology as a general guide to draw the boundaries of the geologic provinces of South America.
DOI: 10.5066/p9h0boyo
title: Illinois River basin silver carp and bighead carp eDNA gradient study from 2015

description: This data was collected by the US Fish and Wildlife Service to see if environmental DNA (eDNA) varied across pools and within pools in the Illinois River basin. The data was collected in 2015 from three different habitat types: shoreline, main channel, and bays. The resulting data were then analyzed using an occupancy model.
DOI: 10.5281/zenodo.1001662
title: Crowdsourced WiFi database and benchmark software for indoor positioning

description: This dataset contains two Wi-Fi databases (one for training and one for test/estimation purposes in indoor positioning applications), collected in a crowdsourced mode (i.e., via 21 different devices and different users), together with a benchmarking utility software (in Matlab and Python) to illustrate various algorithms of indoor positioning based solely on WiFi information (MAC addresses and RSS values). The data was collected in a 4-floor university building in Tampere, Finland, during Jan-Aug 2017 and it comprises 687 training fingerprints and 3951 test or estimation fingerprints. 13.10.2017: Version 2 uploaded; the revised version contains improved readme files and improved Python SW. The dataset and/or the associated software are to be cited as follows: E.S. Lohan, J. Torres-Sospedra, P. Richter, H. Leppäkoski, J. Huerta, A. Cramariuc, “Crowdsourced WiFi-fingerprinting database and benchmark software for indoor positioning”, Zenodo repository, DOI 10.5281/zenodo.889798
DOI: 10.5281/zenodo.10252896
title: Korea Disease Control and Prevention Agency daily COVID19 vaccination status (https://ncv.kdca.go.kr/vaccineStatus.es?mid=a11710000000)
DOI: 10.5281/zenodo.10433919
title: CESM2 GrIS simulation output (2015-2100): The nonlinear and distinct responses of ocean heat content and anthropogenic carbon to ice sheet freshwater discharge in a warming climate

description: Future (2015-2100) output from one of four CESM2 simulations aimed at exploring the impacts of single and combined Greenlandic and Antarctic freshwater discharge on the Southern Ocean over the 21st century. Contained in these files are the primary model output variables needed to investigate anthropogenic ocean heat and carbon content, sea ice fraction, and meridional overturning circulation. "GrIS" refers to a simulation with increasing liquid and solid freshwater runoff from the Greenland Ice Sheet. "ssp585" refers to the period from Jan 2015 - Dec 2099 which was run under SSP5-8.5 CMIP6 atmospheric forcing. Each variable is output as a global field with ∼0.9×1.25∘∼0.9×1.25∘ horizontal resolution and monthly temporal resolution. Potential density and temperature both contain 60 depth levels.

Ocean Heat Content

1. "FW_GrIS_ssp585.pop.h.TEMP.201501-210012.nc" contains the temperature field from Jan 2015 - Dec 2100 for the GrIS simulation

2. "FW_GrIS_ssp585.pop.h.SALT.201501-210012.nc" contains the salinity field from Jan 2015 - Dec 2100 for the GrIS simulation

Ocean Carbon Content

3. "FW_GrIS_ssp585.pop.h.DIC.201501-210012.nc" contains the dissolved inorganic carbon field from Jan 2015 - Dec 2100 for the GrIS simulation

4. "FW_GrIS_ssp585.pop.h.DIC_ALT_CO2.201501-210012.nc" contains the dissolved inorganic carbon (altervative CO2) field from Jan 2015 - Dec 2100 for the GrIS simulation

Meridional Overturning Circulation

5. "FW_GrIS_ssp585.pop.h.MOC.201501-210012.nc" contains the meridional overturning circulation field from Jan 2015 - Dec 2100 for the GrIS simulation

Sea Ice

6. "FW_GrIS_ssp585.pop.h.IFRAC.201501-210012.nc" contains the sea ice fraction field from Jan 2015 - Dec 2100 for the GrIS simulation

 

Please contact Tessa Gorte if you have any questions about these data and/or the simulations used to generate them.
DOI: 10.5281/zenodo.13677342
title: Preparation of hybrid calibrated absorption cross sections for a compact UV-DOAS measurement (data set)

description: A low-cost differential optical absorption spectroscopy (DOAS) spectrometer has been calibrated using a hybrid approach in which multiple absorption cross sections (ACSs) are measured and compared with previously obtained ACSs. The ACSs obtained from the measurement in this study are referred to as precise measurement (PM) ACSs, while those obtained from the simulation are referred to as hybrid simulation (HS) ACSs. The compact UV grating spectrometer was used to measure PM ACSs at different pressures and temperatures ranging from 295.75 K to 298.15 K. The spectral range was 230-320 nm with a spectral resolution of 0.28-0.39 nm. Uncertainties were evaluated and traceable to SI units. The relative standard measurement uncertainty of the PM ACS for o-xylene, p-xylene, SO2, benzene, styrene and toluene were 3.1%, 3.1%, 3.1%, 3.0%, 3.0% and 2.9%. respectively. This combined relative standard uncertainty includes contributions from optical path length (1.4%), CRM concentration (≤0.74%), absorbance repeatability (≤1.5%), pressure (0.78%) and temperature (2.1%). ACSs for reactive trace gases without CRMs were derived using the HS method. This involved convolving literature spectra with measured instrumental functions (IFs) and subsequently applying spectral fitting to achieve ACSs that are well-aligned with those that would be obtained if measured with this spectrometer. The uncertainty of the HS ACSs results from the referenced ACSs, the determination of the IFs and the fitting procedures. The uncertainty of the referenced ACSs is taken directly from the literature and ranges from 0.05% for benzaldehyde and formaldehyde to 5% for oxygen. The uncertainty of the IFs is 0.67%, 0.74% and 0.65% in regions I, II and III respectively. The total uncertainty for HS ACS is estimated to be 0.25% for benzaldehyde, 1.01% for NO2, 0.95% for formaldehyde, 0.75% for p-cresol, 0.74% for m-xylene, 4.13% for phenol, 4.19% for ethylbenzene, 2.83% for ozone in region I, 3.51% for ozone in region II, 5.24% for oxygen in region I and 5.31% for oxygen in region II, taking into account the above uncertainty components. In a laboratory measurement of a gas mixture (benzene, toluene and ortho-xylene), the difference between the measurement values of the certified reference material (CRM) produced by the gravimetric method and the DOAS measurement is 8.5% for benzene, 1.6% for toluene and 4.9% for ortho-xylene. Therefore, the uncertainty of the DOAS system was estimated to be 15.2% for benzene, 8.2% for toluene and 11.6% for o-xylene, taking into account the uncertainties of the ACS (≤3.1%), the fitting procedure (≤0.6%), the difference with the CRM value (≤8.5%) and the path length (1.4%). In general, the system is ready for use in field measurements using the long-path DOAS technique.
DOI: 10.5281/zenodo.14029273
title: Dataset - River geomorphology and fish diversity around the Manseriche Gorge, the last Andean crossing is in peril

description: The dataset includes the results from the manuscript "River geomorphology and fish diversity around the Manseriche Gorge, the last Andean crossing is in peril", by Abad et al. (2024) submitted to Water Resources Research, AGU.
DOI: 10.5281/zenodo.3241337
title: WASHTREET. Application of Structure from Motion (SfM) photogrammetric technique to determine surface elevations in an urban drainage physical model.

description: <strong>WASHTREET</strong><strong> - </strong><strong>Application of Structure from Motion (SfM) photogrammetric technique to determine surface elevations in an urban drainage physical model.</strong> This dataset contains raw data and surface elevations results from the application of the Structure from Motion (SfM) photogrammetric technique in a 36 m<sup>2</sup> full-scale urban drainage physical model, which is placed in the Hydraulic Laboratory of the Centre for Technological Innovation in Construction and Civil Engineering (CITEEC) at the University of A Coruña (Spain). This work is part of the WASHTREET project, where a series of high-resolution experiments were performed measuring urban surface wash-off and sediment transport through gully pots and pipes under laboratory-controlled conditions. The accurately measurement of the surface elevations is needed for a proper representation of surface flow, which is key in the detachment and transport of solids in the model surface. The dataset was used in the work developed in Naves et al. (2019) (DOI: https://doi.org/10.1016/j.jhydrol.2019.05.003) A detailed description of experimental procedure and data collected can be consulted in ‘<em>1_ExperimentalProcedure.pdf’</em>. Raw images taken as input for the SfM software are included in ‘<em>2_RawImages.zip’</em>. Then, the point cloud resulted is provided in ‘<em>3_SFM_RawPointCloud.ply</em>’. This point cloud was processed and the final elevation map with a resolution of 5 mm is included in ‘<em>4_SfM_ElevationMap(m).xyz</em>’. Further details of the physical model and hydraulic and sediment transport experiments can be consulted in the dataset <em>WASHTREET - Hydraulic, wash-off and sediment transport experimental data</em>. In addition, raw data and runoff velocities results obtained using seeded and unseeded Particle Image Velocimetry (PIV) techniques are provided in the dataset WASHTREET - PIV data. The WASHTREET project is being developed in the scope of the PhD thesis of the first author, which is in receipt of a Spanish Ministry of Science, Innovation and Universities predoctoral grant [FPU14/01778]. The project also receive funding from the Spanish Ministry of Science, Innovation and Universities under POREDRAIN project RTI2018-094217-B-C33 (MINECO/FEDER-EU) Derived publications: Naves, J., Anta, J., Puertas, J., Regueiro-Picallo, M., & Suárez, J. (2019). Using a 2D shallow water model to assess Large-Scale Particle Image Velocimetry (LSPIV) and Structure from Motion (SfM) techniques in a street-scale urban drainage physical model. <em>Journal of Hydrology</em>, <em>575</em>, 54-65. https://doi.org/10.1016/j.jhydrol.2019.05.003 Naves, J., Anta, J., Suárez, J., & Puertas, J. (2020). Hydraulic, wash-off and sediment transport experiments in a full-scale urban drainage physical model. <em>Scientific Data</em>, <em>7</em>(1), 1-13. https://doi.org/10.1038/s41597-020-0384-z
DOI: 10.5281/zenodo.6366896
title: Data for 'Global trends in grassland carrying capacity and relative stocking density of livestock'

description: <strong>This collection contains all data needed to reproduce maps presented in the following publication (<em>please cite that when using the data</em>):</strong> Piipponen, J., Jalava, M., de Leeuw, J., Rizayeva, A., Godde, C., Cramer, G., Herrero, M., & Kummu, M. (2022). Global trends in grassland carrying capacity and relative stocking density of livestock. <em>Global Change Biology</em>, <em>28</em>(12), 3902–3919. https://doi.org/10.1111/gcb.16174 A detailed description of files, as well as references and licences related to input/output/supplementary data, can be found in the file <em>List_of_provided_files.txt</em>. All relevant source codes are available in GitHub: https://github.com/jpiippon/cc_rsd_repo *Note that data for most of the output maps, such as AGB, CC and RSD can be found in simulation_results_n1000.csv inside Output.7z. See R script figures.Rmd in GitHub for converting this file to raster format and plotting.
description: The work was funded by Maa- ja vesitekniikan tuki ry, the Academy of Finland funded projects WATVUL (grant No. 317320) and TREFORM (grant no. 339834), and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 819202). MH would like to acknowledge support from the Bill and Melinda Gates Foundation MERLIN grant (INV023682).