cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/19430396.v1
title: Data underlying the paper: "On-The-Fly Design Rationale to Support Real-Time Collaborative Naval Ship Layout Design"

description: This data set comprises the data underlying the case study in the paper "On-The-Fly Design Rationale to Support Real-Time Collaborative Naval Ship Layout Design". Specifically, the data underlying the networks of rationale generated in the case study is provided. It comprises a set of Systems, System Properties, Interactions, and Compromises, as well as the CAD-file of the final concept design.
DOI: 10.6084/m9.figshare.10230827.v1
title: Test data for PTN-EHN operation.xlsx

description: 1) Test data for the coupled PTN-EHN network are included.2) Refer to my paper "Power and Traffic Nexus: From Perspective of Power Transmission Network and Electrified Highway Network" if published online.
DOI: 10.6084/m9.figshare.19337831.v1
title: Community survey data from the DClare Project, Faridpur District, Bangladesh

description: Data from two cross-sectional surveys conducted in Faridpur district, Bangladesh, from February to March 2020 (survey 1), and January to March 2021 (survey 2). Conducted as part of the DClare Trial (ISRCTN 42219712).
DOI: 10.17632/xg7w38rrmv
title: Focal Vector Structure in the Riemann Zeta Function

description: During an experimental investigation into the behavior of the Riemann zeta function at a 
fixed imaginary part of the argument, unusual and distinct geometric dependencies were 
discovered. It was found that for a large number of complex arguments of the form s = σ + i 
t₀, with a fixed value t₀ = 31.7183, the function ζ(s) yields real values. A deeper analysis of 
the vectors connecting each such point s to its value ζ(s) revealed that they all intersect in 
reverse through a single common point s* ∈ ℂ. This point is not a known zero, singularity, or 
symmetry center. 
This publication documents the observation as a phenomenon of focal vector structure. 
Geometrically, this manifests as a series of similar triangles. Over 850 points out of 10,000 
tested arguments exhibit this behavior with high precision (tolerance &lt; 1 degree). 
It is unclear whether this is part of a known symmetry or a new property of ζ(s), but it 
represents a potential breakthrough in understanding the internal geometry of this 
fundamental function.
DOI: 10.17632/3rs7yc5nxv
title: Sunel Kumar

description: Research on pyrolysis
DOI: 10.17632/v4jw2d9rbm
title: Dataset of Israeli et al 2020-Impact of textural patterns on rock weathering rates and size distribution of weathered grains

description: These data files here were used to generate the figures and results in the manuscript by Israeli, Salhov, and Emmanuel entitled "Impact of textural patterns on rock weathering rates and size distribution of weathered grains”. This paper describes the use of a numerical model that simulates chemical weathering and grain detachment in rocks with different textural patterns. We use a cellular automaton model to simulate the weathering of rocks possessing grain boundaries, cracks, and stylolites. We ran simulations of both synthetic patterns as well as natural patterns of cracks, and stylolites. A 2-D cross-section of the rock was represented using a domain with 560*420 elements. Each element represented either a solid mineral, a discontinuity, or a fluid phase and is assigned a characteristic value. At each step, we calculated the number of elements removed by chemical weathering and by mechanical weathering. The dimensions and locations of each detached grain were recorded. The available reactive surface in every time step was also calculated, based on the location of the pixels that neighbor the reactive fluid. The data were then analyzed to assess the weathering rate and the grain size distribution of the detached fragments. When calculating the grain size distributions, we only considered detached clusters larger than 10 pixels, and the amplitude of each size bin represents the cumulative number of pixels of the individual grains within the bin. The data from every simulation included the rock’s initial properties and the dynamic properties of the rock in every step. These properties include the matrix of the rock in every step, a list of pixels that were dissolved, location, and dimensions of detached fragments in every step. The data was uploaded into a MySQL database facilitating analysis of the datasets. We found that for all patterns, weathering rates increase with the density of discontinuities. When the abundance of discontinuities was lower than ~25%, the synthetic patterns weathering rate followed the order: grid&gt; honeycomb&gt; Voronoi&gt; brick-wall. However, for higher values of discontinuity density, all patterns exhibit similar weathering rates. We also tested the impact of the tortuosity of the pattern on weathering rates, and found rates to decrease with increasing tortuosity. In addition, we show that the rock textural pattern strongly impacts the detached grain size distributions. Rocks with an initial monomodal grain size distribution produce weathered fragments that are normally distributed. In contrast, rocks with an initial log-normal size distribution produce weathered grains that are log-normally distributed. For the natural rock patterns, weathering changed the initial multimodal grain size distributions to lower modality distributions. We show how discontinuities, such as cracks, grain boundaries, and stylolites impact rock weathering rates and the size distribution of weathered grains.
DOI: 10.17632/wndf6vdzj2
title: DATA COLLECTED BY COUPLING FIX AND WEARABLE SENSORS FOR ADDRESSING URBAN MICROCLIMATE VARIABILITY IN AN HISTORICAL ITALIAN CITY

description: Here are provided two different datasets: 1. a long-term monitoring of air temperature and relative humidity collected through stand-alone probes (Tinytag TGP-4500) located in two specific areas of the town; 2. a short-term, movable transects monitoring conducted on foot by means of a wearable miniaturized weather station specifically developed by the authors and designed in order to be settled upon a common bike helmet. The data are provided in two supplementary files. The microclimatic variable data are organized in an excel file composed by four datasheets. The datasheets called “Moving_transectX” are referred to the three short dynamic monitoring campaigns and each datasheet presents collected raw environmental parameters, i.e. VOC and CO2 concentration, air temperature, relative humidity, wind direction, wind speed, and global solar radiation, and the apparent temperature which is a direct thermal comfort index calculated.
DOI: 10.17632/8cmv2tk5gr
title: Stoichiometry of carbon, nitrogen, and phosphorus in soil: impacts of soil development and land use at the watershed scale
DOI: 10.17632/vhw23txfr2
title: Numeric and textual customer reviews of Face Serums

description: 1. The dataset contains 361 numeric ratings and 5296 textual customer reviews of 588 Face Serums. 
2. The Python scripts contain data scraping and sentiment analysis based on AFINN-111 and Textblob.
DOI: 10.15468/dl.ej34e8
title: Occurrence Download

description: A dataset containing 253 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adelphicos nigrilatum Smith, 1942"
 ]
}

 The dataset includes 253 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009152-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/v835shc54z
title: Dataset for: Development of a Composite Measure for Mapping Rural Food and Nutrition Security: Application and Validation in the Drought-prone Bundelkhand Region of India

description: The dataset contains raw as well as processed data collected and compiled from various sources to construct a food and nutrition security index for the rural areas of Bundelkhand region, India.
DOI: 10.4121/14625948.v1
title: Process Discovery Contest 2017

description: This is the data set that was used for the Process Discovery Contest of 2017 (PDC 2017). The data set contains 10 training logs, 10 corresponding test logs, and 10 corresponding ground truth logs. The logs are all stored using the IEEE XES file format (see either https://www.xes-standard.org/ or https://ieeexplore.ieee.org/document/7740858).<br><br>In each ground truth log, the additional boolean “pdc:isPos” attribute denotes whether the trace is positive (fits the model, true) or negative (does not fit the model, false).<br><br>
DOI: 10.17632/hjmnxyknfs
title: Phasego: A toolkit for automatic calculation and plot of phase diagram

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract The Phasego package extracts the Helmholtz free energy from the phonon density of states obtained by the first-principles calculations. With the help of equation of states fitting, it reduces the Gibbs free energy as a function of pressure/temperature at fixed temperature/pressure. Based on the quasi-harmonic approximation (QHA), it calculates the possible phase boundaries among all the structures of interest and finally plots the phase diagram automatically. For the single phase analysis, Ph... Title of program: Phasego Catalogue Id: AEVQ_v1_0 Nature of problem Materials usually undergo structural phase transitions when the environmental pressure and temperature are elevated to high enough values. The phase transition process obeys the principle of lowest Gibbs free energy. In addition to the static energy, current density functional theory (DFT) calculations can easily give the phonon density of states of lattice vibrations, from which the Helmholtz free energy of phonons are reduced. Then Gibbs free energy can be achieved for the analysis of phase st ... Versions of this program held in the CPC repository in Mendeley Data AEVQ_v1_0; Phasego; 10.1016/j.cpc.2015.01.023 AEVQ_v2_0; Phasego2; 10.1016/j.cpc.2015.07.018 AEVQ_v1_0; Phasego; 10.1016/j.cpc.2015.01.023 AEVQ_v2_0; Phasego2; 10.1016/j.cpc.2015.07.018
DOI: 10.6084/m9.figshare.28706717.v1
title: Genus_RA_Stat_File_SECC_Manuscript.xlsx

description: Genus relative abundance for analysis in Naumann et al.
DOI: 10.17632/9vbfc3h39g
title: Data for: EXPLORING THE EFFICACY OF FUNGICIDES IN CONTROL OF PEANUT SMUT

description: Peanut smut control efficacy Peanut smut, caused by the soil-borne fungi Thecaphora frezii Carranza and Lindquist, is an endemic and yield reducing disease for the argentine main growing region. No management strategies for reducing smut infections are adopted by argentine growers, what is leading to a local accumulation of T. frezii inoculum. Local preliminary research concerning chemical control of peanut smut reported a wide range of control efficacy: higher doses of DMI+QoI mixture fungicides presented the highest control efficacy. This file shows the peanut smut severity in field and pot experiments using fungicides as an individual active ingredient.
DOI: 10.17632/np2r2k24rp
title: Claustrophobia

description: Claustrophobia VR project raw data
DOI: 10.17632/pg4z7jwwr7
title: Metabolomics for Early-stage Lung Adenocarcinoma

description: We performed untargeted metabolomics study, and divided participants into four groups: early-stage lung adenocarcinoma group (E-LUAD, n=21), healthy control group(HC, n=17), noncancerous lung diseases group (NCC, n=17), and advanced lung adenocarcinoma group (A-LUAD, n=25). Plasma metabolite levels that differed in the E-LUAD group compared to the other three groups were identified by liquid chromatography-mass spectrometry (LC-MS).
DOI: 10.17632/pyxd8t5js5
title: Data for: From deforestation to afforestation: Effect of slopeland use policies on land use/cover change in Taiwan

description: This data contains SPSS and GIS files, which regards the information of slopland in Taiwan.
DOI: 10.17632/rpv326nkvg
title: HIV data from a South African national survey of female sex workers (2019)

description: 
Replication data for the analysis presented in:
Kassanjee et al. HIV incidence estimation among female sex workers in South Africa: a multiple methods analysis of cross-sectional survey data. Lancet HIV 2022.

A subset of data from the study described in: 
Milovanovic et al. Community-led cross-sectional study of social and employment circumstances, HIV and associated factors amongst female sex workers in South Africa: study protocol. Global Health Action 2021.

------------------------------------------------------------------------------------------------------------------

Data Dictionary

The provided data contains the following fields:

•	id: Numeric row and person identifier – 1, 2, …, 3005 (numeric identifier)
•	district: Numeric identifier for district – 1, 2, …, 12 (numeric identifier)
•	date_interview: Date of interview (date YYYY/MM/DD)
•	age_current: Age at time of interview in whole years (numeric)
•	hiv_status: HIV status as per study testing (categorical – Negative / Positive / Indeterminate)
•	hiv_sr_status: Self-reported HIV status (categorical – Self-report Negative / Self-report Positive / Unknown)
•	hiv_date_prevtest: Self-reported date of previous HIV test (date YYYY/MM/DD)
•	bm_vl: Viral load measurement in copies per ml as measured in the study; undetectable viral loads are recorded as ‘<’ and the lower limit of detection or ‘LDL’ (text)
•	bm_lagodn: Limiting Antigen Assay measurement as measured in the study – in normalised Optical Density (ODn) units (numeric)
•	client_violence: Indicator of self-reported client violence in the last year – 1 if present, 0 if absent (binary indicator)

Missing values are recorded as ‘NA’.

For queries, please contact the corresponding author – please see Kassanjee et al, Lancet HIV 2022.
DOI: 10.6084/m9.figshare.27641805.v1
title: Supplementary Materials: UPLC-ESI/MS n Metabolic Profiling of Cedrela odorata L. and Toona ciliata M. Roem and in vitro Investigation of their Anti-diabetic Activity Supported with Molecular Docking Studies

description: Genus Cedrela is one of the phytochemically rich genera of Family Meliaceae. In this study, two Cedrela species, namely, Cedrela odorata and Toona ciliata M. Roem (formerly Cedrela toona) were selected for in-depth phytochemical profiling with the aid of UPLC-ESI/MS analysis followed by evaluation of their anti-diabetic potential through assessment of in vitro α-amylase and α-glucosidase inhibitory effects, alongside the molecular docking studies on these target enzymes. The UPLC-ESI/MS n analysis led to the identification and quantification of fifty-five metabolites with their fragmentation patterns for the first time for these two species. Flavonoids represented the main identified class followed by phenylpropanoids, terpenes, tannins, and others.The two species showed potent enzyme inhibition where C. odorata and C. toona significantly inhibited α-amylase (IC50=4.83±0.01 and 3.50±0.03 µg/mL), respectively, compared to pioglitazone (IC50=2.17±0.23 µg/mL) while their α-glycosidase inhibitory properties were also potent with (IC50=7.17±0.01 and 6.50±0.69 μg/mL), respectively, compared to acarbose (IC50=4.83±1.02 μg/mL). The enzyme inhibitory activities were further confirmed by in silico molecular docking of the main identified components with the respective binding sockets in both α-amylase and α-glycosidase enzymes. These promising results could pave the way for a new discovery of natural phytoconstituents with potent anti-diabetic activity.
DOI: 10.17632/3czshz7zpr
title: Driver entry into and exit from a car using smartphone sensors

description: Three subjects conducted the experiments, of (a) IN- getting on the car seat, (b) SITTING - sitting there for 2-3 seconds, then (c) OUT - coming out from the car and (d) STANDING - standing out of the car for 2-3 seconds, with the smartphones in their left pocket, with the screen facing the thigh. This activity was performed for 241 times by the 3 subjects combined with the smartphone in the left pocket. i.e. time-series data with 50 samples per second was collected for 241 iterations of each of the four activities listed above. The raw (without any feature engineering) dataset has 15 columns (features) and 121,989 records. This dataset has been made public in two forms which are described below: a) Raw labeled data i.e. without applying any data smoothing or feature extraction. b) Labeled signals which are smoothened and containing all the primary and secondary feature vectors. Also, a fixed width sliding window of 1 sec with 50% overlap is applied on the dataset. The primary features like acceleration, gravity, orientation, linear acceleration, and rotation were recorded over the three axis at a sampling rate of 50Hz. One of the important secondary (derived) data feature derived out of the primary data is the Root Mean Squares (RMS) over the 3 axes for each primary category. RMS is well known engineered feature, and is independent of axis direction, hence making the activity detection independent of the phone orientation in the subject’s pocket. Besides RMS, other aggregation features like mean value, standard deviation, median absolute value, maximum and minimum values are derived from the primary data. Thus, the total number of features including both the primary and secondary data is 120. i.e. 6 aggregation functions (mean, median, minimum, maximum, standard deviation and mean absolute deviation) applied over 5 primary features like acceleration, gravity, orientation, linear acceleration, and rotation with each of these features having 4 components viz. x, y, z axis values and their root mean square. For Raw Labeled Data, as in a) above the legends for the features are as follows: accm - Accelerometer grvm - Gravity Sensor gyrm - Gyrometer lacm - linear Acceleration rotm - Rotation Activity- Labels ; any one out of - {IN, OUT, SITTING, STANDING }
DOI: 10.17632/bwwk49tmzx
title: Multi-fault rupturing of the 2019 Mw4.6 Rongxian shallow earthquake in the Sichuan basin, China and its implication for hazard analysis

description: Seismic waveform data of the Rongxian earthquakes. The ML4.7, ML4.3 and ML4.9 events are called in E1, E2 and E3 in the zip file, respectively.
DOI: 10.17632/kzmzrdw5fr
title: Spondias mombin markers dataset

description: This data contains the raw SNPs data sete of natural populations of Spondias mombin from the North and Northwest of Brazil.
DOI: 10.17632/4894k97tv3
title: Supplementary data for: Phoenix phylogeny, genetic diversity, distribution and population structure characterized in a world collection of date palm (Phoenix dactylifera) and its wild relatives

description: These supplementary data include Supplementary tables and plastome assemblies related to the manuscript "Phoenix phylogeny, genetic diversity, distribution and population structure characterized in a world collection of date palm (Phoenix dactylifera) and its wild relatives"
DOI: 10.17632/t86fp5d45w
title: Very Low Frequency radio signal amplitude from the Indian navigational transmitter VTX received at Kolkata (Calcutta University) from 2019-04-25 to 2019-05-07 during the Extremely Severe Cyclone Fani of May, 2019

description: The ZIP file contains Very Low Frequency radio signal amplitude at frequency 18.2 kHz received at Kolkata before, during and after the extremely severe cyclone Fani of May 2019 over northeastern part of the Indian Ocean. The Vertical component of VLF electric field is captured using a 3.65 metre E-field whip antenna, which is then amplified by an OP-AMP amplifier circuit before feeding into the sound card of the computer for analog to digital conversion. SpectrumLab V2.9 software is used to record the amplitude of the VLF field at desired frequency at a sampling rate of 5 Hz. The data are helpful to understand the effects of the cyclonic storm on the lower ionosphere. The ZIP file contains 13 days data and details can also be found in each file. Purpose: These data were collected to study the effects of the tropical cyclone on the lower ionosphere. Atmospheric gravity waves from the cyclone can propagate upward up to the ionospheric heights and disturb the electrical conductivity in the ionosphere. Changes in ionospheric conductivity profiles can be extracted from the VLF received signal.
DOI: 10.17632/456ypf72fv
title: Health System in Syria 2000 - 2024

description: Dataset for a research project on the health system in Syria 2000 - 2024: a systematic review
DOI: 10.17632/mw24yzw4fg
title: Cerebrovascular Disease in COVID-19: Is There a Higher Risk of Stroke?

description: The presence of stroke is being observed in young adults (under 50 years of age) without cardiovascular risk factors suffering from COVID-19. It is speculated whether there is really a significant increase, as few cases have yet been described, or whether the infection actually favors their development. Cerebrovascular events were more common in older patients with stroke risk factors such as hypertension and diabetes mellitus, and those who had elevated fibrin D-dimers. Multiple cases reports and series about cerebrovascular disease in COVID-19 has been informed. The mechanism that causes cerebral ischemia in COVID-19 remains undiscovered, however, progressively there is increasing evidence of a hypercoagulable state that could be or contribute to the cause of cerebrovascular disease. We review the current literature about cerebrovascular disease, both epidemiology and etiology. More studies are needed to understand COVID-19 neuropathogenesis and the presence of stroke in this patient.
DOI: 10.17632/7hgspb5gn7
title: Datasets associated with "Disordered clock protein interactions and charge blocks turn an hourglass into a persistent circadian oscillator".

description: These datasets correspond to the paper by Jankowski et al. 2024, Nature Communications. Within the CCD Array Luciferase Reporter Trials folder are the original Lightfield image stacks that can be opened in ImageJ with a .spe plugin (Plate 1 is at top of images, Plate 2 at bottom) and an Excel Sheet with raw extracted relative luminescence values per hour after constant darkness. Within the FRQ Peptide Microarrays folder, there are the original microarray images and images in .tif format, as well as an Excel file outlining the two designed FRQ-based peptide libraries and extracted intensity values from the microarray images using TIGR Spotfinder.
DOI: 10.6084/m9.figshare.5719120.v1
title: Evaluation of phenolic compounds and lipid-lowering effect of Morus nigra leaves extract

description: ABSTRACT Morus nigra L. (Moraceae) is a tree known as black mulberry and the leaves are used in folk medicine in the treatment of diabetes, high cholesterol and menopause symptoms. The aim of this study was to evaluate the M. nigra leaves phytochemical profile in different extractions and the hypolipidemic effect of the infusion comparing to the fenofibrate. Morus nigra infusion (MN) showed higher amounts of phenolics and flavonoids (83.85 mg/g and 79.96 µg/g, respectively), as well as antioxidant activity (83.85%) than decoction or hydromethanolic extracts. Although, decoction showed the best result for ascorbic acid (4.35 mg/100 g) than hydromethanolic or infusion (2.51 or 2.13 mg/100 g, respectively). The phenolic acids gallic, chlorogenic and caffeic and the flavonoids quercetin, rutin and catechin were found in the M. nigra extracts. Hyperlipidemic rats treated with 100, 200 or 400 mg/kg of MN decreased serum cholesterol, triglycerides and normalized lipoproteins. Furthermore, MN inhibited lipid peroxidation in liver, kidney and brain of hyperlipidemic rats. This study provides evidence that M. nigra leaves extracts are rich in polyphenols, mainly chlorogenic acid, which normalized hyperlipidemic disturbance. The results suggest a potential therapeutic effect of the M. nigra leaves infusion on dislipidemic condition and related oxidative stress.
DOI: 10.6084/m9.figshare.7906889.v1
title: gVCF_NA18980

description: 1000 Genomes gVCF mapped to hs37d5 for NA18980. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307