cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wxy4wpscmm
title: Deep Learning for Microstructure Property Relationships - Results (MATLAB data)

description: The data contains trained networks and interpretation data saved into ".MAT" files. The framework was orginally deployed on MATLAB R2022b. It has also been tested to be functional on MATLAB R2021a. The data used in this work has been collected from various literature which may contain copyrighted materials. Therefore we are unable to provide the data used for training. However, we have provided all the data sources in the file "Data_Sources.xlsx" located inside the "1_Alloy_Data" folder. MATLAB scripts for data preprocessing, optimization, training and interpretation of the deep learning framework are provided in a separate git repository: https://github.com/adityag23/Deep-Learning-Microstructure-Property

Requirements:
MATLAB Deep Learning Toolbox
MATLAB Image Processing Toolbox
DOI: 10.17632/mnh7gc2mvz
title: COVID-19 data of Thailand includes infected, recovered, dead, and vaccinated cases from 2021/02/28 to 2021/08/30

description: The file attached is a spreadsheet containing the daily data of COVID-19 in Thailand. This file contains five columns. The first column represents the time from 2021-02-28 to 2021-08-30. The second to fourth columns show the number of infected, recovered, dead, and vaccinated, respectively.
The primary sources in collecting this data are listed below:
1- Worldometer, Worldometer COVID-19 data, https://www.worldometers.info/coronavirus/,  2021. 
2- Johns Hopkins University, John Hopkins University COVID-19 Data, https://coronavirus.jhu.edu/,  2021
DOI: 10.6084/m9.figshare.19682400.v1
title: Tribolium freemani genome assembly annotations

description: Dataset containing all genetic and assembly features of Tribolium freemani genome (Tfree1.0).
DOI: 10.6084/m9.figshare.21260589.v1
title: Description of Four Novel Species in Pleosporales associated with Coffee in Yunnan, China

description:  Based on molecular phylogenetic analyses of combined ITS, LSU, SSU, <em>rpb</em>2, and <em>tef</em>1-α sequence data and morphological characteristics, four new species viz. <em>Deniquelata yunnanensis</em>, <em>Paraconiothyrium yunnanensis</em>,<em> Pseudocoleophoma puerensis</em> and<em> Pse</em>.<em> yunnanensis</em> and three new records viz. <em>Austropleospora keteleeriae</em>,<em> Montagnula thailandica</em> and <em>Xenocamarosporium acaciae</em> in <em>Pleosporales</em> are introduced.
DOI: 10.17632/kt4sww7h38
title: Data for: Dataset concerning plasmonic thermal destruction of murine melanoma by gold nanoparticles obtained by green chemistry.

description: Data shown in this article provide information about the effect of photothermal therapy on an aggressive murine melanoma model. Mice were subcutaneously engrafted with B16F10 murine melanoma cells in the right flank. The treatment started when the tumor volume reached 120mm3 (Day 0). After the treatment, mice were weighed and the tumor volume was measured every 3 days until the death or the sacrifice of the mice (mice were euthanized if the tumor volume was higher than 1500mm3 or if the body weight loss was higher than 20%). Table 1 contains mice body weight (g) measured from the beginning (day 0=D0) of the treatment to its sacrifice (day 10=D10). The data were obtained from 25 melanoma bearing mice divided into 5 groups of mice: - Group 1: injection of nanoparticles without laser - Group 2: Laser exposure alone - Group 3/4: Nanoparticles combined with laser - Group 5: Reference treatment group (anti-PD1 monoclonal antibody). Throughout this experimentation, mice were weighed, and their clinical state was rigorously controlled. Table 2 describes the tumor mice dimensions of the 4 groups of mice (groups 1, 2, 3 & 5). The tumors are measured from the beginning of the treatment (D0) to its sacrifice (D10). For each mouse, the width, the length and the thickness of the tumor were measured with an electronic calliper (expressed in mm). Table 3 presents the estimated tumor volume of the 4 groups of mice. The estimated tumor volume is calculated from the tumor mice measurements. This volume was calculated with the following mathematical formula: Volume = (width x length x thickness) / 2, and was expressed in mm3. Table 4 contains the analysis of monitored weight and tumor volumes during the treatment from the groups of mice #3 and #5. Figure 1 illustrates the evolution of the relative median body weight (%) of 4 groups from D0 to D10 (groups #1, #2, #3, #5). Figure 2 illustrates the evolution of the median tumor volume of 4 groups from D0 to D10.
DOI: 10.6084/m9.figshare.26197214.v1
title: Lost in the haze: Persistent mega-fire smoke exposure jeopardizes tree carbohydrate reserves and yield

description: The global incidence of megafires is on the rise, leading to extensive areas being shrouded in dense smoke for prolonged periods, spanning days or weeks. By integrating, long-term, regional observations of non-structural carbohydrate content in trees across California’s Central Valley with spatiotemporal satellite data, we present compelling evidence that dense smoke plumes negatively impact carbohydrate stores in three tree species: <i>Prunus dulcis,</i> <i>Pistacia vera</i>, and <i>Juglans regia</i>. Our findings show that the presence of smoke causes a significant decrease in total non-structural carbohydrates, with reductions in the accumulation of both soluble sugar and starch reserves. This decline in carbohydrate levels persists through the trees’ dormancy period into the next season’s bloom, culminating in a reduced yield. Our results highlight a previously unrecognized wildfire threat that could affect plant health and ecosystem stability in both agricultural and natural environments.
DOI: 10.6084/m9.figshare.962957.v1
title: Weighted Referential Activity Dictionary (WRAD)

description: A weighted dictionary in alphabetical order with weights between -1 and +1 for computerized scoring of referential activity.
DOI: 10.17632/r22ynr9tcz
title: Data for: A Framework to Integrate Social Media and Authoritative Data for Disaster Relief Detection and Distribution Optimization

description: Hospitals dataset provided by Department of Homeland Security at https://hifld-geoplatform.opendata.arcgis.com/datasets/hospitals Demand dataset derived from Twitter using the twarc python library. Keywords used were 'Harvey' and 'hurricane harvey' from 8/25/17 to 9/10/17.
DOI: 10.6084/m9.figshare.11542539.v1
title: suppl_datafile_table1.xlsx

description: <b><i>Supporting Table 1</i></b><b>. <i>Coverage. </i></b>Table showing the amount of coverage per group (# of reads) and the percentage of uniquely mapped reads.<b></b>
DOI: 10.6084/m9.figshare.4535486.v3
title: Word

description: s" into the words "X 's", there keep existing more apostrophes<br>
DOI: 10.17632/h89g9b7gg9
title: Data Access Control in Personal Data Ecosystems: A Business Model Perspective

description: The transition towards Personal Data Ecosystems (PDEs) requires sustainable business models that balance data sovereignty between data subjects and providers. This research applies a business model perspective to data sovereignty and PDE research, offering a comprehensive framework for understanding the strategic decisions data providers make regarding data access control in PDEs. Concretely, we investigate the business dimensions that influence data providers' willingness to grant data access control to data subjects via a two-staged methodology. In a first step, 25 interviews identified key business dimensions, representing a trade-off between value proposition (user- and ecosystem value), value network (collaboration and competition), value finance (value capturing and privacy risk) and value architecture (coreness of data, level of processing of data). In a second stage, a use case analysis of the Personal Data Store (PDS) in a mobility PDE was performed, utilizing an Analytic Hierarchy Process (AHP) to quantify the preferences of data providers within a mobility ecosystem involving 21 mobility and data experts. This data shows the findings of the AHP analysis, which show value proposition and value finance are the most salient dimensions in this mobility ecosystem.

The analytical hierarchical process (AHP) methodology was employed to research the preferences of data providers in the mobility ecosystem. In this work, the AHP was used to determine the preference of the business dimensions for granting data access control . The preferences of data providers were ranked by experts through a pairwise comparison .Next, respondents assessed the relative importance or preference using a numerical scale ranging from 1 to 9. The AHP was conducted throughout telephone interviews with 21 mobility and data experts in Belgium and the Netherlands. These pairwise comparisons are transformed into individual result matrices, which are used to calculate leading eigen vectors to determine the relative weights of the dimensions. The analysis was performed on a group level, avoiding bias that may be present when the judgements are considered from a single expert. The findings were examined within the overall group that encompassed all participants and within the MAAS and C-ITS subgroups. Using the geometric mean of the individual result matrices, the group matrices are calculated of the different stakeholder groups. The consistency ratio was calculated, for which 0.1 is considered to indicate a tolerable consistent ranking for grouped responses . The “ahpsurvey” package in R was used to analyze the results.
DOI: 10.6084/m9.figshare.21559095.v1
title: Tarp impacts on soil nitrate and soil moisture

description: These data demonstrate the impact of tarps on soil nitrate availability and soil moisture. We measured soil nitrate availability 2-3 days before and after tarp application and include the difference between these two time periods to show how tarps change soil nitrate availability. We additionally include here soil moisture measurements 3 weeks into the tarp application. <br> For more information, please refer to Kinnebrew et al. 2022 (https://doi.org/10.1080/21683565.2022.2146254) or contact Dr. Kinnebrew at eva.kinnebrew@colostate.edu. <br> Column Names and Explanations: <br> 1. Farm: the farm site (“A,” “B” or “C”) where the plot was located. All farms were located in Chittenden County, Vermont, USA <br> 2. Treatment: indicates the treatment type (silage tarps, clear plastic tarps, or control) <br> 3. Plot_Replicate: the treatment replicate number on each farm (1-6 for each treatment on each farm) <br> 4. Plot_ID: the unique identifier for each spatial plot <br> 5. Nitrate_PreTarping: nitrate availability (soil nitrate-N mg/kg) measured 2-3 days before tarp application (20 May 2021) <br> 6. Nitrate_PostTarping: nitrate availability (soil nitrate-N mg/kg) measured 2-3 days after tarp removal (23 June 2021) <br> 7. Nitrate_Change: Change in nitrate availability with tarping (soil nitrate-N mg/kg), calculated as post tarping minus pre tarping nitrate values <br> 8. Soil_Moisture: volumetric water content (%) of soil, measured with TDR soil probes on 16 June 2021
DOI: 10.6084/m9.figshare.14675391.v1
title: Sitobion avenae genome annotation (primary)

description: Annotation of an assembly of the <i>Sitobion avenae</i> (SA3 clone) genome from PacBio HiFi data. Primary assembly generated using hifiasm assembler.
DOI: 10.6084/m9.figshare.19807474.v1
title: Land cover maps for Amboró and Carrasco National Parks in Bolivia for 2008 & 2018

description: Maps were generated using a supervised classification (with a random forest classifier). We used Landsat satellite imagery (L5 and L7 for 2008 and L7 and L8 for 2018), elevation, EVI, and EVI difference as input variables. <br> Land cover codes used in the rasters: 1: Agriculture 2: Forest 3: Bare soil 4: Urban 5: Water 6: Desert 7: Wetland <br> For additional information, see Kinnebrew et al. 2022 (PLOS ONE) DOI: 10.1371/journal.pone.0268970
DOI: 10.6084/m9.figshare.24735270.v1
title: A Georeferenced Dataset for the Spatial Distribution of <i>Borrelia burgdorferi</i> in Northeastern China and Neighboring Areas

description: This is a comprehensive georeferenced dataset that encompasses records extracted from peer-reviewed literature published between 2000 and 2022 in China. Our investigation includes both Chinese and English journal articles, conference papers, and dissertations. Rigorous quality control procedures were implemented to eliminate duplicate data and ensure the accuracy of the dataset. The dataset comprises 626 <i>Borrelia burgdorferi</i> detection records on tick vectors, reservoir hosts, and humans from 110 references and is categorized at various scales, ranging from provinces to townships. The dataset presents a comprehensive compilation of the distribution of <i>B. burgdorferi</i> in Northeastern China and adjacent areas, enabling exploration of the spatial and temporal dynamics and aiding in predicting the cross-border spread risk of <i>B. burgdorferi</i> infection. It could also serve as a valuable resource, pinpointing regions at risk and modelling exercises towards environmental and health management practices with the economic and societal drivers.
DOI: 10.6084/m9.figshare.25768644.v1
title: Flotation calculation for industrial application

description: Mineral benefication method *froth flotation for quartz and feldspar recovery and grade applications for industries.
DOI: 10.6084/m9.figshare.3555414.v1
title: Appendix C. Summary of number of articles and lines in database, classified by prey species, predator species, and refuge type.

description: Summary of number of articles and lines in database, classified by prey species, predator species, and refuge type.
DOI: 10.17632/bb3bxk6bs2
title: A MAPLE program for the generation of the Lie-series solution of systems of non-linear ordinary differential equations

description: Abstract The Lie series is a power series in which the initial conditions are part of the constant coefficients of the series. This property makes the Lie series appropriate for the study of systems of differential equations that exhibit chaotic behavior and, therefore, are sensitive to initial conditions. We present the theory behind the Lie series, a MAPLE program capable of handling single as well as systems of ODE's, several examples of the application of the program to linear and non-linear probl... Title of program: LIESER Catalogue Id: ACBT_v1_0 Nature of problem The Lie-series solution of systems of differential equations that represent physical phenomena can lead to better understanding of the phenomena. It is of special importance for chaotic systems because it contains the initial conditions as part of the coefficients in the series. Versions of this program held in the CPC repository in Mendeley Data ACBT_v1_0; LIESER; 10.1016/0010-4655(92)90058-7 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.12292637.v2
title: Dataset for analysis of the visual stimulus ambiguity effect on the behavioral response and EEG activity

description: EEG signals and responses of 20 healthy subjects were recorded during the visual stimuli classification task. The ambiguous visual stimuli, Necker cubes, with a different ambiguity degree, <b><i>a</i></b>, were presented in random order. We instructed the subjects to press the left or the right key to report their interpretation of each Necker cube orientation.<br>Ambiguity, <em><b>a </b></em>depends on the contrast of the middle edges and affects the Necker cube orientation (See attached Fig1). In our experiment, we used the Necker cube images with eight different ambiguity degrees, <em><b>a</b></em><b> = {0.15, 0.25, 0.4, 0.45, 0.55, 0.6, 0.75, 0.85}</b>. Half of them, <em><b>a</b></em><b> = {0.15, 0.25, 0.4, 0.45}</b>, are left-oriented, and another half, <em><b>a</b></em><b> = {0.55, 0.6, 0.75, 0.85}</b>, are right-oriented. While for <em><b>a</b></em><b> ≈ 1</b> the Necker cubes have a clear orientation (left and right), for <em><b>a </b></em><b>≈ 0.5</b> the identification of the cube orientation is a more difficult task since the image becomes ambiguous.<br>The attached MATLAB structure contains 20 cells representing data of 20 subjects. Each cell includes a field <b>Trial</b> carrying 200 EEG trials recorded for 31 channels. The names of the EEG channels are specified in the field <b>Label</b>. The first 100 trials are EEG recordings during a demonstration of Necker cubes with a high degree of ambiguity. The remaining 100 trials correspond to Necker cubes with a low ambiguity. Each trial begins 1.5 seconds before the stimulus onset and ends 0.5 seconds after the subject presses the button on the joystick. A sampling rate of EEG recording is 250 Hz. Thus, the stimulus presentation begins at 376 time-point of each trial. The field <b>PresentationMoment</b> contains the stimulus presentation moment in the course of the experiment. The field <b>ReactionTime</b> provides time passed from the stimulus onset to the moment when the subject clicks the button. The fields <b>Ambiguity</b> and <b>AmbiguityOfPreviousCube</b> reflect <em><b>a</b></em> parameter of the current and the previous cubes, respectively. The field <b>Button</b> contains the identification of a pressed button (1 - left, 2 - right). EEG signals were filtered by a band-pass FIR filter with cut-off points of 1 Hz (HP) and 100 Hz (LP), and by a 50 Hz notch filter. Eye blinking and heartbeat artifacts were removed using independent component analysis (ICA).
DOI: 10.6084/m9.figshare.3422362.v1
title: Resume Research Findings

description: Findings and IRB approval for resume research as part of Iowa State University's Honors Capstone project. <br>
DOI: 10.17632/dpvb49zggm
title: crime

description: crime data set is used to predict crime rate
DOI: 10.17632/r5zpphcnyv
title: Keep your cool: Overwintering physiology in response to urbanization in the acorn ant, Temnothorax curvispinosus

description: Is there evolutionary divergence in Acorn Ant Overwintering physiology across the urbanization gradient?
We expected that warm adapted urban populations would have lower performance in cold tolerance (longer recovery time) and higher metabolic rate at cold temperatures while expressing higher heat tolerance (higher temperature to loss of muscle control). We also expected greater population loss in urban populations under cold acclimation temperatures. 
To test our hypotheses, we ran a common garden rearing design for field caught urban and rural ants under overwintering conditions and then tested their heat tolerance, cold tolerance, metabolic rate and survival. We found no differences in cold tolerance or metabolic rate in urban and rural populations but did find higher heat tolerance in urban populations. 

The following descriptions show what each data set and R script sets up:

Scripts
R code for each physiological measure under overwintering conditions

- OvW_Count: worker count / Survival: collected data on the number of workers at the start and end of the experiment
- OvW_MR_script: Metabolic Rate: collected routine metabolic rate (mLCO2 / min) at two temperatures (4 and 10 C) for all populations. 
- OvW_CCRT: Chill Coma Recovery Time (CCRT): cold tolerance measure of recovery time from an acute cold temperature stress that induces chill coma (ours was measured at -10 C) and measured as time until leg / antennae movement.
- OvW_CTmax: Critical Thermal Maximum (CTmax): heat tolerance measure of muscular control under a dynamic ramping assay measured as the temperature at which loss of muscle control was observed.

Metadata for each data file
description of variables within each dataset

### CCRT
- CCRT csv file in minutes; code changes to seconds for modeling as an integer
- Treatment (source population: urban or rural) and Collection season are factor variables
- Colony ID is randomly generated value

### CTmax
- CTmax csv file: ctmax in degrees C
- Treatment (source population: urban or rural) and Collection season are factor variables
- Colony ID is randomly generated value

### Worker Count / Survival
- Worker start and end are the number of workers at the beginning (0) and end (4) months of the experiment
- Source population (urban or rural) is a factor variable
- Colony ID is randomly generated value

### metabolic rate
- mean MR = average metabolic rate in CO2 (mL CO2/min)
- mean MR RA = avg metabolic rate in CO2 rolling average (not used in analyses)
- Chamber index = chamber where colony was; chamber 8 = control or blank container
- Q10 = thermal sensitivity quotient of the two metabolic rates at two temperatures raised to the 10th power divided by the temperature difference
- Collection date = similar to collection season factor from ccrt and ctmax files above
- Source.pop = factor variable (urban or rural)
- Colony ID is randomly generated value
DOI: 10.6084/m9.figshare.1217517.v1
title: 8.8 nm in 50 % Glycerol (2)

description: PhRICS imaging of 8.8 nm gold nanoparticles in 50 % (v/v) Glycerol/Water (Exp2).
DOI: 10.6084/m9.figshare.25567470.v1
title: Supplementary Material for: Future burden of ischemic stroke in Australia: impact on health outcomes between 2019 and 2038

description: Background: Projections of the future burden of ischemic stroke (IS) has not been extensively reported for the Australian population; the availability of such data would assist in health policy planning, clinical guideline updates, and public health. 
 
Methods: First, we estimated the lifetime risk of IS (from age 40 to 100 years) using a multi-state life table model. Second, a multistate dynamic model was constructed to project the burden of IS for the whole Australian population aged between 40 and 100 years over a twenty-year period (2019-2038). Data for the study were primarily sourced from a large, representative Victorian linked dataset based on the Victorian Admitted Episode Dataset and National Death Index. The model projected prevalent and incident cases of non-fatal IS and fatal-IS, and years of life lived (YLL) with and without IS. The YLL outcome was discounted by 5% annually; we varied the discounting rate in scenario analyses. 
 
Results: The lifetime risk of IS from age 40 years was estimated as 15.5% for males and 14.0% for females in 2018. From 2019-2038, 644 208 Australians were projected to develop incident IS (564 922 non-fatal and 79 287 fatal). By 2038, the model projected there would be 358 534 people with prevalent IS, and in 2038 there would be 35 554 incident non-fatal IS and 5 338 incident fatal-IS, a 14.2% (44 535), 72.9% (14 988) and 106.3% (2 751) increase compared to 2019 estimations, respectively. Projected YLL (with a 5% discount rate) accrued by the Australian population were 174 782 672 (84 251 360 in males and 90 531 312 in females), with 4 053 794 YLL among people with IS (2 320 513 in males, 1 733 281 in females). 

Conclusion: The burden of IS was projected to increase between 2019 to 2038 in Australia. The outcomes of the model provide important information for decision-makers to design strategies to reduce stroke burden.
DOI: 10.6084/m9.figshare.25855999.v1
title: Chinese stock market index dataset

description: The repository contains six CSV datasets, which are the major indices of the Chinese stock market, including the SSECI, the SZSECI, the GEI, the CSI 300 Index, the CSI 500 Index, and the SSE50 index.
DOI: 10.6084/m9.figshare.853845.v1
title: SNPs at the GH1/GH2-N and GH2-Z gene copies in Sarda sheep

description: This dataset shows all the SNPs evidenced at the GH1/GH2-N and GH2-Z gene copies in Sarda sheep, single nucleotide deletion is indicated as "d".