cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/78864g22zg.1
title: 3D surface velocities and strain rate fields for the central-eastern Altyn Tagh fault (NW Tibet)

description: This dataset includes surface velocities (at 1 km resolution) and strain rate fields for a total area of ~ 600,000 km2 (~ 1,300 km × 450 km, Longitude 84°E-100°E, Latitude 36°N-42°N) around the central and eastern segment of the Altyn Tagh fault using Sentinel-1 InSAR rate maps. This dataset can be used to study interseismic strain accumulation and its termination on the central-eastern Altyn Tagh fault and surface deformation of the northwestern Tibet.

We used the LiCSAR system (Lazeckỳ et al., 2020) to derive interferogram networks. We processed 11 LiCSAR frames on 7 ascending tracks and 9 LiCSAR frames on 6 descending tracks. For each frame, we used ~170 acquisition epochs between October 2014 and July 2022. To reduce the impact of phase biases and nontectonic seasonal signals, we combine both short temporal (&lt; 4 months) and 1-year to 7-year long summer-to-summer baseline interferograms in the network, which generates an average of nearly 2000 interferograms in each LiCSAR frame. 

We carried out time-series analysis using LiCSBAS (Morishita et al., 2020), during which the tropospheric phases for each epoch were removed based on the Generic Atmospheric Correction Online Service (GACOS) (Yu et al., 2018). As the remaining interferograms may still have unwrapping errors, we chose to reduce the impact of such errors by nullifying (removing the values) all the displacements of interferograms associated with an unclosed loop in the time series for each pixel. After obtaining displacement time series of each pixel in a frame, the average linear velocities were calculated based on the standard approach in LiCSBAS. Final line-of-sight (LOS) velocity uncertainties are calculated from the standard deviation (STD) of 100 velocities based on resampled datasets of displacement time series using the bootstrap method. We masked relatively unreliable pixels using several noise evaluation indices such as the average coherence and number of network gaps for each pixel (Morishita et al., 2020). 

We derived reference frame adjustment parameters for each frame using VELMAP (Wang & Wright, 2012; Wang et al., 2019) to tie all the LOS velocity maps to the same Eurasian reference system as the GNSS data. We decomposed the final LOS velocity field accounting for the local radar incidence and azimuth angle. We inverted for the east and vertical velocity , as well as their associated uncertainties, for each pixel based on a method (Watson et al., 2022) in which the solution of north velocities from the VELMAP inversion was projected in local LOS direction and subtracted from the original LOS velocities first. 

We calculated our horizontal strain rates follow the method from Ou et al. (2022), in which the horizontal strain rates are calculated based on the median filtered east velocities at the InSAR resolution and interpolated north velocities from GNSS (the north velocities from VELMAP in this study).
DOI: 10.17632/4xjsd9f972
title: Effects of preference matching and client-rated attachment style on psychological counseling: The moderating role of interpersonal synchrony

description: Effects of preference matching and client-rated attachment style on psychological counseling: The moderating role of interpersonal synchrony. Sixteen pairs of counselors and clients participated in five consecutive weekly counseling sessions. The 1st, 3rd, and 5th sessions took place offline in a near-infrared laboratory, while the 2nd and 4th sessions were conducted online via video conferencing.
DOI: 10.17632/g97rrwx4k8.2
title: Data for: Sustaining the sink of the European forestry sector

description: The valade_2017_C_balance_Europe_parameters.m describes the modelling parameters (time horizon, ranges for the sensitivity analysis, number of Monte Carlo samples, reference carbon balance coefficients) and generates the Monte Carlo samples. The parameters distributions are then plotted. The script valade_2017_C_balance_Europe_main.m calls the script *parameters and from the generated parameter vectors calculates the evolution of the carbon balance dynamics. The script valade_2017_C_balance_Europe_diagnostic_figures is also called by the script *main to plot some reference figures that helps checking the behaviour of the model.
DOI: 10.17632/v8kh23czrd.2
title: Disease Retrieval dataset

description: Dataset for Image-Based Disease Retrieval for Plant Leaves Utilizing Hash Convolutional Neural Networks 

The dataset used in this work is based on the public dataset provided by J, ARUN PANDIAN et al.
https://data.mendeley.com/datasets/tywbtsjrjv/1
DOI: 10.17632/2r3sv6vtwz.1
title: Juvenile Idiopathic Epilepsy in Arabian horses is not a single-gene disorder

description: Juvenile Idiopathic Epilepsy is characterized by tonic-clonic seizures in young Egyptian Arabian foals.  The common signs include, disorientation and seizures which can sometimes lead to death and temporary blindness. Some foals grow out of the condition while others do not. Based on veterinary diagnosis, we included 180 horses (60 cases, 120 controls) for genotyping on the Affymetrix 670k genotyping array.  A GWAs was performed on a genetically matched 1:2 case/control set, totaling 180 individuals using a GRM. We also performed two separate GWAS for coat color to test the efficacy of the JIE GWAS. This dataset includes genotypes for horses that passed the minor allele frequency of 0.05 and genotyping rate above 95%.
DOI: 10.17632/nccxjtym4f
title: Inadequate housing and its threat to health: A comprehensive analysis of indicators and consequences

description: Inadequate housing and its threat to health: A comprehensive analysis of indicators and consequences
DOI: 10.17632/xg9tnnndtp.1
title: Data for: Variations in continental heat production from 4 Ga to the present: Evidence from geochemical data

description: Geochemical data compilation (major elements and heat production) from various sources. Reference list contained in hpage_data_ref.csv. Data has been processed, renormalized, and includes computed values such as heat production estimates, density estimates, and various geochemical indices referenced in the associated publication.
DOI: 10.17632/2fc53mk7yd.1
title: Cerebral Malaria data

description: We collected data from children living in Malawi with motor dysfunction from Octo-ber 2, 2017 to November 15, 2017, using questionnaires and physical examinations. These data included diagnosis, birth history, medical history, and history of malaria based on interviews and patients’ personal medical records. The patients’ families provided consent to participate in this research. After exclusions were applied, the remaining patients (33, or 27%) were diagnosed with cerebral malaria. We report the patients’ type of paralysis, muscle tone, age of malaria infection, and Gross Motor Functional Classification Score. This dataset reports basic data on the physical func-tion of the underreported pediatric population with cerebral malaria. In the future, it will be useful for comparative studies with other children with cerebral malaria to improve rehabilitation interventions.
DOI: 10.17632/tgb5spjvft.1
title: Data for: Conditional Pension Funds to Combat Cheating in Sporting Contests: Theory and Experimental Evidence

description: Raw data and stata code used for all results in the paper.
DOI: 10.15468/dl.eh9scd
title: Occurrence Download

description: A dataset containing 1179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus taeda L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1179 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009256-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j7cuhb
title: Occurrence Download

description: A dataset containing 24832 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-104.02474 27.33754,-100.97192 27.33754,-100.97192 28.55947,-104.02474 28.55947,-104.02474 27.33754))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 24832 records from 267 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009255-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/m84gkwrrpp.1
title: Women and Property 1784-1790 Female to Female Only Transactions: North Riding Register of Deeds

description: Research hypothesis was to use the Registers of Deeds for the North Riding of Yorkshire (held at North Yorkshire County Record Office, Northallerton, England) to advance knowledge about women's involvement with property transfer and the wider property market in the 18th & 19th centuries. Registers began in 1736 and ceased in 1970; there are 89 Index Ledgers and 2,328 Deeds Registers. The system for recording data changed in 1885 so one Index Ledger was selected from pre/ post this date and 100 years apart to incorporate impact of Marriage Acts. Stage 1 - Two Index Ledgers were transcribed in full: 1) Index of Lands Vol 9 (1784-90) covers a seven-year period and contains 6,868 unique transactions (31,966 lines); and 2) Index of Lands 1885-1889 covers a five-year period and contains 14,481 unique transactions (52,741 lines). Each line represents a person's name. Core data from Index showed Township, unique reference and names of parties, but the 18th century Index Ledger did not show date of transaction or all parties. To analyse by gender this information was required so was added by using the Deeds Registers. Information from the individual Deeds Registers was then used to add to the core datasets: Stage 2 - The gender of all parties ('male', 'female' and 'not applicable' (for businesses) was added. Stage 3 - The usual residence, occupation (if any), marital status and any details of family relationships or inheritance rights of every women was added. Stage 4 - The 18th century dataset was then reduced to a five-year period covering 1785-1789 ONLY to provide a direct comparison with the 19th century dataset. Comparative analysis by: gender, marital status and number of transactions. Each transaction has a unique reference number but can contain multiple parties and cover more than one township. To identify the true number of transactions, the data had to be controlled for these factors. A control for uniqueness was also required for those individuals and organisations involved in multiple transactions and to avoid assuming that everyone with the same name was actually the same person. Where women were involved, additional data e.g. marital status, residence or family relationships was used to differentiate between like women. **Any transaction in 1784-1790 dataset that contained women ONLY and which had 2+ women named was manually extracted to a separate dataset - REPRESENTED HERE. Excel and .csv versions provided.** ***This dataset does NOT include sole female transactions (mainly Wills - see separate dataset).***
DOI: 10.15468/dl.sz5pjk
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Harmful Algal Event Database (HAEDAT)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Karenia brevis (C.C.Davis) G.Hansen & Ø.Moestrup, 2000"
 ]
}

 The dataset includes 76 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009257-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cdx38fx5vp.1
title: Dataset on blood flow velocity's impact on atherosclerosis progression.

description: The dataset on how blood flow velocity impacts the progression of arteriosclerosis in the human carotid artery.
A computational simulation using COMSOL multi-physics was used to investigate the impact of blood flow velocity on wall shear stress in a human carotid artery, shedding light on its implications for atherosclerosis progression. The 2-D model, employing Stokes law for flow, simulates plaque growth and progression in a previously plaque-free vessel, varying velocities between 30 m/s and 125 m/s.

keywords: CVD, plaque progression, blood velocity, atherosclerosis,
DOI: 10.17632/c3czhz5swm.1
title: Data for: Why do Americans overestimate economic mobility? Economic inequality, external attributions of wealth and poverty, and the belief in economic mobility

description: Data files for the 4 studies in the manuscript "Why do Americans overestimate economic mobility? Economic inequality, external attributions of wealth and poverty, and the belief in economic mobility"
DOI: 10.17632/7j6kcf8629.1
title: CP3d: A comprehensive Euler-Lagrange solver for direct numerical simulation of particle-laden flows

description: We present a comprehensive Euler-Lagrange solver, CP3d, for the direct numerical simulation of particle-laden flows. The solver can handle one-way, two-way, interface-unresolved four-way and interface-resolved coupling regime. To make the solver versatile, different numerical approaches are available for fluid, particle as well as the coupling sub-solver. For the sake of computational accuracy and efficiency, a third-order exponential approximation method is proposed for Basset history force in interface-unresolved regime, and a new simplified lubrication force model based on the averaged integration is utilized in interface-resolved simulation to account for the short-range hydrodynamic force. The volume integration approach is also modified to adapt the staggered mesh configuration. The present solver is intensively validated against several benchmarks. A 2D pencil-like domain decomposition is implemented for parallel communication. The resulting solver is able to simulate large scale cases with billions of grid points and millions of moving particles in interface-resolved four-way regime, using only hundreds of computational cores. In addition, a nearly perfect linear strong scaling performance is achieved. In our test, CP3d is more than ten times faster than other similar solver reported in the literature.
DOI: 10.17632/bv2hvm4pmz.3
title: Indoor Air Quality Monitoring @ Brindisi Airport

description: The experimental dataset here represented is composed by 3 CSV files (ranging from 7M records to 11M records), each corresponding to air quality records -- related to the presence of gases (as a unified value concentration); the concentration of carbon dioxide (CO2), together with air temperature and humidity; and the concentration of particulate matter (PM) in the monitored environment (PM0.5, PM1, PM2.5, PM4, PM10) -- sampled (every 2 sec) over a 1-year period (October 2022-October 2023) in an indoor travelers’ transit area in the Brindisi airport, Italy, in the aim of the European project InSecTT (https://www.insectt.eu/, https://cordis.europa.eu/project/id/876038/). In particular, each CSV file has been generated by a prototypical Internet of Things (IoT) sensing node, designed at the IoTLab (https://iotlab.unipr.it/) of the University of Parma, Italy, exploiting a Raspberry Pi 4 (as processing unit) and three low-cost commercial sensors (namely: Adafruit MiCS5524, Sensirion SCD30, Sensirion SPS30). Then, as a time reference, each record contains the Unix-like data collection timestamp and the identity of the IoT node sampling the air parameters (for safety purposes, the association with a generic color name in the CSV file name has been a consequence of an anonymization naming process for the IoT nodes, in order to hide their precise positions inside the airside transit area).
DOI: 10.17632/g33bhs9f2y.1
title: Dung beetle assemblages within Amazonian selectively logged forests

description: This dataset results from the MSc research in Applied Ecology, entitled "Selective logging in Amazonian forests: post-logging recovery in dung beetle communities", by Filipe França at the Federal University of Lavras. It includes data on [1] dung beetle species richness, abundances and biomass; [2] dung beetle-mediated ecological processes of dung removal, seed dispersal and soil bioturbation; and [3] environmental conditions related to canopy openness, soil texture (sand, silt and clay content), and disturbance intensity (number of trees and volume of timber removed). Datasets were surveyed using a space-for-time experimental design, between January and March 2010, across 49 10-ha logging management units distributed along a gradient of selective logging intensities within two areas (Bituba and Gueti) in the Jari region of the Brazilian Amazon, state of Pará. Surveyed areas had different times since logging: Bituba was managed in 2005 and Gueti in 2009, with logging intensities varying between 0-76 and 0-55 trees removed, and 0-643 and 0-669 timber volume (m3/10ha), respectively.
We followed the harvest operational plans of the timber concession, which adopts 250×400m logging management units, to establish six sampling points spaced 100m apart in a 2×3 rectangular grid and around 75 m from the unit edges. We sampled dung beetles using baited pitfall traps (40g of dung; 19 cm width, 11 cm depth; 1 trap/sampling point, 6 traps/unit). We surveyed ecological processes using two 1-m diameter mesocosm arenas placed at the middle sampling points of the rectangular grid 24h before installing pitfall traps. Each arena was a circular plot delimited by a 15-cm high nylon net fence (area of ~0.79m2) and received a single 200-g experimental dung deposit mixed with seed mimics of three sizes: 10 large (15.5-mm diameter), 20 medium (8.6-mm) and 50 small (3.5-mm). All dung used had a 4:1 pig to human ratio to increase attractiveness and allow enough baits to carry out all field experiments. After 24h of exposure, we weighted the remaining dung and the loose soil found above the soil surface (if present) to assess rates of dung removal and soil bioturbation. Rates of seed dispersal are based on the difference between total seed mimics placed in each dung deposit and the number of seed mimics found in the remaining dung (when present).  At each sampling point, we took a (1) soil sample (up to 10cm depth) and (2) hemispherical photograph using a Nikon FC-E8 fisheye lens attached to a Nikon D40 camera levelled ∼1.20m from the ground. We formed a composite soil sample to represent the soil granulometry (clay, silt, fine sand, and coarse sand; g/Kg) within each sample unit, which was analysed in the soil laboratory of Jari Celulose S.A. We used the Gap Analyser software to estimate the canopy openness (%), which represents the total open area of the hemispherical photographs. For further details, please see related links and 'README'  in the attached spreadsheet.
DOI: 10.17632/hwxhw2sxys.1
title: Severe COVID-19 is marked by a dysregulated myeloid cell compartment. Schulte-Schrepping et al., 2020

description: Supplemental tables of the publication "Severe COVID-19 is marked by a dysregulated myeloid cell compartment." Schulte-Schrepping et al., 2020. Table S1 - Cohort details (related to all Figures) Table S2 - Detailed information on antibody panels used for mass cytometry analysis (related to Figure 1,3,6) Table S3 - List of antibodies used for multi-color flow cytometry (related to Figure 1,3,6). Table S4 - Cluster-specific marker gene lists from the scRNA-seq analyses (related to Figure 2,4,5,7 + S2-4,S6) Severe COVID-19 is marked by a dysregulated myeloid cell compartment Jonas Schulte-Schrepping, Nico Reusch, Daniela Paclik, Kevin Baßler, Stephan Schlickeiser, Bowen Zhang, Benjamin Krämer, Tobias Krammer, Sophia Brumhard, Lorenzo Bonaguro, Elena De Domenico, Daniel Wendisch, Martin Grasshoff, Theodore S. Kapellos, Michael Beckstette, Tal Pecht, Adem Saglam, Oliver Dietrich, Henrik E. Mei, Axel R. Schulz, Claudia Conrad, Désirée Kunkel, Ehsan Vafadarnejad, Cheng-Jian Xu, Arik Horne, Miriam Herbert, Anna Drews, Charlotte Thibeault, Moritz Pfeiffer, Stefan Hippenstiel, Andreas Hocke, Holger Müller-Redetzky, Katrin-Moira Heim, Felix Machleidt, Alexander Uhrig, Laure Bosquillon de Jarcy, Linda Jürgens, Miriam Stegemann, Christoph R. Glösenkamp, Hans-Dieter Volk, Christine Goffinet, Markus Landthaler, Emanuel Wyler, Philipp Georg, Maria Schneider, Chantip Dang-Heine, Nick Neuwinger, Kai Kappert, Rudolf Tauber, Victor Corman, Jan Raabe, Kim Melanie Kaiser, Michael To Vinh, Gereon Rieke, Christian Meisel, Thomas Ulas, Matthias Becker, Robert Geffers, Martin Witzenrath, Christian Drosten, Norbert Suttorp, Christof von Kalle, Florian Kurth, Kristian Händler, Joachim L. Schultze, Anna C Aschenbrenner, Yang Li, Jacob Nattermann, Birgit Sawitzki, Antoine-Emmanuel Saliba, Leif Erik Sander, Deutsche COVID-19 OMICS Initiative (DeCOI) Coronavirus Disease 2019 (COVID-19) is a mild to moderate respiratory tract infection, however, a subset of patients progresses to severe disease and respiratory failure. The mechanism of protective immunity in mild forms and the pathogenesis of severe COVID-19, associated with increased neutrophil counts and dysregulated immune responses, remains unclear. In a dual-center, two-cohort study, we combined single-cell RNA-sequencing and single-cell proteomics of whole blood and peripheral blood mononuclear cells to determine changes in immune cell composition and activation in mild vs. severe COVID-19 (242 samples from 109 individuals) over time. HLA-DR high CD11c high inflammatory monocytes with an interferon-stimulated gene signature were elevated in mild COVID-19. Severe COVID-19 was marked by occurrence of neutrophil precursors, as evidence of emergency myelopoiesis, dysfunctional mature neutrophils, and HLA-DR low monocytes. Our study provides detailed insights into the systemic immune response to SARS-CoV-2 infection and it reveals profound alterations in the myeloid cell compartment associated with severe COVID-19.