cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/sx2yrz89w9
title: Quantitative magnetization transfer imaging of the human locus coeruleus

description: The aim of this study was to characterize the magnetization transfer (MT) effects in locus coeruleus (LC) imaging by applying high spatial resolution quantitative MT (qMT) imaging to create parametric maps of the macromolecular content of the LC and surrounding tissues. Healthy volunteers (n=26; sex=17F/9M; age range=20-72 years) underwent brain MRI on a 3.0 Tesla scanner. qMT data were acquired using a 3D MT-prepared spoiled gradient echo sequence. A traditional Neuromelanin (NM) scan consisting of a T1-weighted turbo spin echo sequence with MT preparation was also acquired. PSR was estimated for each voxel using a single-point qMT approach (Yarnykh VL, 2012, doi: 10.1002/mrm.23224). This repository includes the qMT datasets for the 26 participants. The dataset for each subject includes the following preprocessed images: - B0map.nii - B1map.nii - NM_2_qMT.nii (NM scan using 2D multislice TSE) - qMT_1pt_mc.nii (motion corrected qMT data) - qMT_2kHz.nii (MT-weighted image) - qMT_ref.nii (Reference image - No MT) - T1mfa.nii (multiple flip angle images to calculate the T1 map) All the above are coregistered to qMT_2kHz.nii. The dataset also includes the following processed images: - PSR_kba12p5.nii (PSR map) - T1obs.nii (T1 map) Matlab code required for data analysis has been posted at https://github.com/smithalexk/pulsed_qMT/tree/5ec63095c3b4e426a076b5730bffcab415df9c95 When using the code, please cite - Smith AK, et al., Neuroimage, 2014; doi: 10.1016/j.neuroimage.2014.03.005 - Trujillo P, et al., Neuroradiology, 2017; doi: 10.1007/s00234-017-1911-2
DOI: 10.6084/m9.figshare.15059718.v1
title: Data-Beibu Gulf.xls

description: Dual stable isotopes of water (i.e., δD and δ<sup>18</sup>O), temperature, salinity, and other environmental factors (including chlorophyll <i>a</i> (Chla), NO<sub>3</sub><sup>-</sup>, and NH<sub>4</sub><sup>+</sup>) were collected from 44 stations located in the Beibu Gulf (BG) during summer, fall, and winter. These data were applied to improve our understanding of water mass processes and their impact on the environment of the gulf.
DOI: 10.6084/m9.figshare.21729098.v1
title: SupplementaryTables(S1-8).xlsx

description: Supplementary Tables of " <strong>Enhanced magmatism played a dominant role in triggering the Miocene Climatic Optimum</strong> "
DOI: 10.6084/m9.figshare.25957606.v1
title: HELIX in vitro sequencing data

description: HELIX in vitro sequencing data
DOI: 10.6084/m9.figshare.28938023.v1
title: RegisteredFirst.csv

description: Earliest classification per sequence by a registered MammalWeb user for subset of sequences.
DOI: 10.17632/k5y3ffzn3b
title: Design & Automation of a Small-Scale Towing Tank for Flow Visualization

description: Although the towing tank is a standard piece of equipment used to investigate fluid phenomena, it primarily exists as custom-built hardware that takes up a significant footprint. The size, cost, and custom-built nature have heretofore inhibited the production of this equipment in the authors’ context, an African university. This paper presents a small-scale (1000mm x 200mm x 200mm), low-cost (&lt;$1,000) towing tank made using readily available components and basic digital fabrication tools. Other universities on the continent and beyond can hence create this foundational platform for fluid mechanics-related teaching and research. Leveraging an Arduino microcontroller loaded with the GRBL firmware, G-code is sent from the computer to stepper motors to execute movements in two axes. This allows for automation capabilities, controlled towing speeds, and consistent experimental conditions. Validation tests revealed motion accuracy within 1%. A glitter-based flow visualization approach to measuring surface phenomena is demonstrated here. Experiments conducted successfully visualized relevant flow characteristics generated by bluff bodies being towed in the tank. As the Reynolds number increased within the operating range, wider wakes and larger, more distinct vortices were generated, as expected. This platform can be replicated widely in institutions that may otherwise forego experimentation in fluid mechanics.

The solidworks version used to model the parts is 2023. The files necessary to aid in its build are provided below:
DOI: 10.6084/m9.figshare.21201956.v2
title: Supplemental Data - Raw data for each 96-well plate, with associated R scripts

description: Zip files for each bacterium tested. Files contain raw data for all 96-well plates in which bacteria were treated with honey comb extract, brood comb extract, or propolis extract. Files also contain associated R scripts in which the mid-log phase was determined for each plate.
DOI: 10.6084/m9.figshare.4792627.v1
title: ANVIO-FMT-D-R01-R02-MAGs-SUMMARY

description: A static HTML output for the anvi'o merged profile database for the 92 donor MAGs from Lee and Khan et al study.
DOI: 10.6084/m9.figshare.6144422.v1
title: The Gaussian Graphical Model in Cross-Sectional and Time-Series Data

description: We discuss the Gaussian graphical model (GGM; an undirected network of partial correlation coefficients) and detail its utility as an exploratory data analysis tool. The GGM shows which variables predict one-another, allows for sparse modeling of covariance structures, and may highlight potential causal relationships between observed variables. We describe the utility in three kinds of psychological data sets: data sets in which consecutive cases are assumed independent (e.g., cross-sectional data), temporally ordered data sets (e.g., <i>n</i> = 1 time series), and a mixture of the 2 (e.g., <i>n</i> &gt; 1 time series). In time-series analysis, the GGM can be used to model the residual structure of a vector-autoregression analysis (VAR), also termed <i>graphical VAR</i>. Two network models can then be obtained: a temporal network and a contemporaneous network. When analyzing data from multiple subjects, a GGM can also be formed on the covariance structure of stationary means—the between-subjects network. We discuss the interpretation of these models and propose estimation methods to obtain these networks, which we implement in the R packages <i>graphicalVAR</i> and <i>mlVAR</i>. The methods are showcased in two empirical examples, and simulation studies on these methods are included in the supplementary materials.
DOI: 10.17632/ywx6xjm8nk
title: Tracking the Multiple Sources of Sediment within Agricultural Catchments in Northeast China

description: This dataset comprises particle size and 31 geochemical elements (Mo, Cu, Pb, Zn, Ag, Ni, Co, Mn, Fe, As, U, Th, Sr, Sb, Bi, V, Ca, P, La, Cr, Ba, Mg, Ti, Al, Na, K, Sc, Tl, Hg, and Ga) from source and target sediment samples within the Yingmincun catchment in the Mollisol region of Northeast China.

The source samples include 57 topsoil samples (48 from cultivated land and 9 from unsealed roads) and 41 subsoil samples (26 from ephemeral gullies and 15 from gully banks). The target sediment samples, collected during the rainy seasons from 2018 to 2020, consist of 63 suspended sediment samples and 10 deposited sediment samples.

The samples were ground and sieved through a 2 mm mesh. The particle size was determined by using a Mastersizer 2000 analyser (Malvern Instruments, Malvern, UK). The classification of grain size followed the United States Department of Agriculture (USDA) scale standard (USDA, 1951). After grinding and sieving all samples to &lt; 63 μm, a total 31 geochemical elements (Mo, Cu, Pb, Zn, Ag, Ni, Co, Mn, Fe, As, U, Th, Sr, Sb, Bi, V, Ca, P, La, Cr, Ba, Mg, Ti, Al, Na, K, Sc, Tl, Hg and Ga) were measured by using inductively coupled plasma mass spectrometry (ICP‒MS) (NexION, 300X, Perkin Elmer Inc., Waltham, MA) at the Shaanxi Provence Land Engineering Construction Group Laboratory, China.
DOI: 10.6084/m9.figshare.12452666.v1
title: temperature data interval

description: This is soil temperature data under controlled conditions.
DOI: 10.6084/m9.figshare.13611245.v3
title: environment

description: Available indoor environment measures.
DOI: 10.6084/m9.figshare.15057996.v1
title: Bretschneidera sinensis genome

description: Bretschneidera sinensis genome, annotations and SNPs.
DOI: 10.6084/m9.figshare.27899763.v1
title: Thermal ecology of summer-blooming Mediterranean thistles

description: A study was undertaken between 2020-2024 on the thermal ecology of flower heads (capitula) of 15 species of summer-blooming species of Asteraceae, tribe Cardueae, from hot-dry habitats in the southern Iberian Peninsula. Temperature inside (<i>T</i><sub>in</sub>) and outside (<i>T</i><sub>out</sub>) capitula were assessed under natural field conditions by two complementary sampling and measurement procedures, which provided information on the relationships between the two temperatures at the levels of individual capitula ("continuous recording") and local plant populations ("instantaneous measurements"). Baselines for the<i> T</i><sub>in</sub>–<i>T</i><sub>out</sub> relationship in absence of physiological activity were obtained by exposing fast-dehydrated capitula to a broad range of ambient temperatures. To assess whether capitula of summer-flowering Asteraceae defined a distinct thermal layer in the summer environment, the distribution of capitula in relation to the ground was quantified. Bees visiting capitula were watched and temperature of the air beside the visited capitulum (<i>T</i><sub>out</sub>) was measured.This data repository consist of the following 6 files:<b>inert.capitula.csv</b><br>Delimited text file containing <i>T</i><sub>in</sub> and <i>T</i><sub>out</sub> temperature measurements taken on experimental, dry flower heads of 9 species exposed to different ambient temperatures in the field. Variable names are in the first row of the file.<br><b>instant.measures.csv</b><br>Delimited text file containing <i>T</i><sub>in</sub> and <i>T</i><sub>out</sub> temperature measurements taken on natural, living flower heads of 14 species exposed to natural field conditions ("instantaneous measurements"). Variable names are in the first row of the file.<br><b>continuous.measures.csv</b><br>Delimited text file containing <i>T</i><sub>in</sub> and <i>T</i><sub>out</sub> temperature measurements taken continuously on natural, living flower heads of 12 species exposed to natural field conditions ("continuous measurements"). Variable names are in the first row of the file.<br><b>capitula.height</b><br>Delimited text file containing measurements of the height above the ground (cm) of the capitula of 11 species. Variable names are in the first row of the file.<br><b>bee.visits</b><br>Delimited text file containing measurements of air temperature beside flower capitula being visited by bees. Self-explanatory variable names are in the first row of the file.<br><b>Script.R</b><br>R script to analyze the data
DOI: 10.6084/m9.figshare.7488830.v5
title: The dataset of the manuscript Fully convolutional network for rice seedling and weed image segmentation at the seedling stage in paddy fields

description: The folder 'rice_seedling_and_weed_dataset' containing Ground Truth images and RGB images. All the image were in the folder: 'rice_seedling_and_weed_dataset\image': image_1.jpg, image_2.jpg ...... All the Ground Truth image were in the folder: 'rice_seedling_and_weed_dataset\PixelLabelData': Label_1.png, Label_2.png ......The file of 'gTruth.mat' can associate Ground Truth images with RGB images. The file of 'imageLabelingSession.mat'was configuration information of labeled data.The file directory must be 'D:\rice seedling and weed dataset'.<br>
DOI: 10.17632/hmhdvg47kg
title: MARHYD: Magdalena River Hydrodynamic model in Delft3D. Inputs of cases 1 and 2

description: This database contains the input files of MARHYD: the MAgdalena River HYdrodynamic model in Delft3D. Model description: The model domain of MARHYD extends from coordinates 10.9619 °N to 11.2669° N and from 74.7571 °W to 74.8784 °W. This domain includes the last 22 km of the river and estuary before discharging into the Caribbean Sea and 63 km by 37 km of the surrounding coastal region in east-west and north-south directions. In oceanic waters, the model is rectangular, configured on a 150 m x 150 m horizontal resolution near the open boundaries, with a gradual refinement to 50 m x 50 m near the river mouth. In the river and estuary, the model is curvilinear, with 10 horizontal cells in the transversal section, reaching a variable size between 40 m to 100 m. 40 Z-layers represent the water column with a higher resolution close to the surface. Layers of approximately 0.5 m cover the upper 10 m of the water columns, where most of the mixing processes between the river and the ocean occur. The vertical resolution reduces progressively from 10 m depth to the bottom. The boundary conditions of salinity and currents with the Caribbean Sea (at the North, East, and West) were obtained from HYCOM + NODA reanalysis every 6 hours, and wind velocity was obtained from CFSR-NCEP/NCAR reanalysis every 1 hour for the wind stress. The bathymetry was derived from GEBCO, Nautical charts of the Maritime Directorate of Colombia (DIMAR), and high-resolution in-situ measurements. River discharge data were obtained from the nearest upstream hydrological station of the Magdalena River. The model was calibrated and validated using field data of salinity profiles along the river estuary and plume, velocity measurements in the river and estuary, and water level in the estuary for two climatic seasons. Files description: The Input files to execute MARHYD in Delft3D for two simulation scenarios are included: Case 1: Q = 3400 m^3/s (low discharge) Case 2: Q = 6800 m^3/s (mid discharge). These river flows correspond to the 10th and 50th percentile of the historical freshwater flow. Folders' names refer to the river discharge of each scenario, and files' names refer to the name of each input and configuration variable. The results files of these cases can be accessed in the following databases of Mendeley: MARHYD: Magdalena River Hydrodynamic model in Delft3D. Results of Case 1 (salinity and water level), doi: 10.17632/zhtwsdzr6c.2 MARHYD: Magdalena River Hydrodynamic model in Delft3D. Results of Case 1 (water velocity), doi: 10.17632/vxs52f7fcd.2 MARHYD: Magdalena River Hydrodynamic model in Delft3D. Results of Case 2 (salinity and water level), doi: 10.17632/r99xkp2czc.2 MARHYD: Magdalena River Hydrodynamic model in Delft3D. Results of Case 2 (water velocity), doi: 10.17632/7nzrcrvzmk.2
DOI: 10.17632/xp94vcjdkh
title: AIoT-Driven Business Intelligence and Supply Chain Optimization: Real-Time Insights for Strategic Decision-Making and Sustainable Operations

description: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT)—known as AIoT—is revolutionizing corporate decision-making and operational management. This paper explores the role of AIoT in transforming strategic business intelligence and enhancing supply chain resilience. Drawing on a mixed-methods approach with synthetic data simulation and industrial case studies, we demonstrate how real-time sensor data, AI-driven analytics, and executive dashboards empower decision-makers to forecast market trends, detect disruptions, and achieve sustainability through green logistics. The study concludes with a roadmap for organizations seeking to leverage AIoT for competitive advantage and sustainable operations.
DOI: 10.6084/m9.figshare.14706429.v1
title: SNP-based genotyping provides insight into the West Asian origin of Russian local goats

description: PLINK files for Russian goats genotypes used in the paper Deniskova T.E. et al. SNP-based genotyping provides insight into the West Asian origin of Russian local goats
DOI: 10.6084/m9.figshare.21800873.v1
title: Raw Data: Structure-Property

description: This dataset provides raw data to reproduce the structure-property relationships.
DOI: 10.6084/m9.figshare.26891407.v1
title: GNN Model to predict NSES (code and data)

description: GNN Model to predict NSES (code and data).
DOI: 10.17632/9yfddx3534
title: Differences in the course of physiological functions and in subjective evaluations in connection with listening to the sound of a chainsaw, and to the sounds of a forest

description: The data relate to a manuscript that will be published in Frontiers in Psychology. Frontiers Media S.A. doi: 10.3389/fpsyg.2022.775173
Names of variables:
Sound: 1 = forest; 2 = chainsaw
ID: the numerical identification of examined person (EP)
AbR: abdominal respiration
ThR: thoracic respiration 
AbRR or ThRR - respiratory rate 
AbVTR or ThVTR: relative tidal volume change
SCL: skin conductance level
FT: finger skin temperature
BVP: blood volume pulse
BVPA: blood volume pulse amplitude
HR: heart rate
RRit: R-R interval trends
Alpha: peak alpha frequency HRV
Peak HF: peak high-frequency HRV
ASD: absolute values of standard deviations. Example AbRASD: absolute values of standard deviations of abdominal respiration 
HRV_nosignif - other not significant heart rate variability parameters; from ibi...to rLFHF_B
We defined 4 time sections for the statistical comparison of differences among the average values of sounds. Periods, defined in MANOVA as a covariate, were not fixed but determined according to literary sources and similar findings from the line charts.
Period1: a control period, 10 s before turning on the sounds. 
Period2: from 0 to 79 s 
Period3: from 80 s to 209 s (up to 3 ½ min), lasting 130 s (ca. 2 minutes). 
Period4: from 210 s to 390 s (up to 6 ½ min), lasting 180 s (3 minutes). 
(Sounds) Evaluation:
AS - activation scale
VAS - visual analogue scale
In the AS method, one of ten polarity statements are selected on a scale from 1 to 11. In the VAS method, the respondent ticks his/her current mental and physical state “intuitively” on the line (encodable on a scale 0 – 200 mm).
ASpre, VASpre - prior to the exposure of acoustic stimuli
ASpost, VASpost - after the exposure of acoustic stimuli
DOI: 10.17632/fycj3648bh
title: Min_frac_gap_3D

description: Data and statistical analysis (effect of computed tomography (CT) technologies/scanners, specimen positionings, scan protocols, image segmentations, and processing protocols; as well as inter- and intra-operator variabilities reported as coefficient kappa) of the paper "Minimal Detectable Bone Fracture Gaps in CT Images and Digital Three-Dimensional (3D) Radii Models", Journal of Imaging Informatics in Medicine, 2024.
DOI: 10.17632/hsxsvdt9v4
title:  Data underlying the publication : Understanding the influence of meteorology and emission sources on PM2.5 mass concentrations across India: first results from the COALESCE network

description: Details about the dataset is provided in the manuscript - "Understanding the influence of meteorology and emission sources on PM2.5 mass concentrations across India: first results from the COALESCE network" published in JGR: Atmospheres
DOI: 10.6084/m9.figshare.12706223.v1
title: Diet Kuwait.csv

description: <b>Background</b>Despite the public health importance of documenting the burden of physical inactivity and weight gain, there is a paucity of such data in Kuwait during the lockdown for Covid-19 pandemic. Therefore, this survey was designed to estimate: the burden of poor eating habits particularly binge eating habits, fluctuations in weight and its predictors among the Kuwaiti public.<b>Methods</b>This cross-sectional survey was conducted from 2<sup>nd</sup> to 12<sup>th</sup> April 2020 among the general public in Kuwait. All data were collected through social media platform (WhatsApp groups), through convenience and snowball sampling methods. comprised of three sections: a) demographic characteristics of respondents, b) eating habits particularly binge eating, consumption of snacks and beverages c) subjective feelings of anxiety and d) weight before and during the pandemic. The data set is in CSV format.
DOI: 10.6084/m9.figshare.22752623.v1
title: HMAP Dataset 19: Estonian Fisheries: Pärnu City Customs Records

description: Pärnu has, through the centuries, been regarded primarily as a trade port. Alongside Riga and Tallinn, Pärnu traditionally welcomed trade with the Hansa people since 1346. Pärnu's importance in the transit trade between the Hanseatic League and Russia decreased rather rapidly during the 14th century, and by the 15th century, Pärnu had evolved to primarily exporting local products. This tendency continued throughout the Swedish and the Russian reigns. In the second half of the 18th century, Pärnu was one of the three most important ports of Estonia; these ports acted as hubs of foreign trade. However, Tallinn, Pärnu and Narva were greatly overshadowed by the ports of Riga and St. Petersburg. In the 1780s, approximately 100-150 ships annually docked at the Port of Tallinn whilst in Pärnu the corresponding figure was 100, and in Narva, less than 100. In contrast, 1000-1200 vessels docked annually in Riga, and the count in St. Petersburg was between 600 and 700 vessels annually. The navigable River Daugava provided Riga with a vast mercantile hinterland, and St. Petersburg's development was supported by the Russian government. Yet, at the end of the 18th and into the early 19th century, Pärnu became one of Estonia's key ports of export supported primarily by the South Estonia hinterland, but also by Central Estonia and North Latvia.
DOI: 10.6084/m9.figshare.5125999.v1
title: Supplementary Material for: Reintroduced Sumatran Orangutans <b><i>(Pongo abelii):</i></b> Using Major Food Tree Species as Indicators of Habitat Suitability

description: Reintroducing orangutans (<i>Pongo </i>spp.) into the wild requires a suitable, secure habitat. To identify acceptable areas for their reintroduction and define priority conservation sites, we analysed the tree species composition in the Bukit Tigapuluh ecosystem in Jambi, Sumatra. We used this information to determine the distribution patterns of those species that represent an essential part of the diet of reintroduced orangutans. Important orangutan food tree species showed significant differences in composition, frequency and abundance among topographic forest types and recovered selectively logged and unlogged forests. Riparian forests and recovered selectively logged areas offered a vegetation composition and forest structure most suitable for the reintroduction of orangutans and showed numerous important tree species that serve as indicator species, i.e. species growing predominantly or exclusively in a specific forest type.