cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13109408.v1
title: Supplementary Material for: Adiponectin Signaling and Impaired GTPase Rab5 Expression in Adipocytes of Adolescents with Obesity

description: <b><i>Introduction:</i></b> Abnormalities in adipose tissue AdipoR1; adaptor protein, phosphotyrosine interaction, PH domain, and leucine zipper containing 1 (APPL1); GTPase Rab5; adiponectin; leptin; and visfatin in adults with obesity have been associated with metabolic disturbances. <b><i>Objective:</i></b> The objective of this study was to examine whether pediatric obesity disrupts elements of the adiponectin signaling pathway and GTPase Rab5 in adipose tissue. <b><i>Methods:</i></b> Primary adipocyte cultures of subcutaneous abdominal tissue were obtained from 96 lean and 66 children and adolescents with obesity (AO). AdipoR1, APPL1, and GTPase Rab5 mRNA levels were measured by RT-PCR and their protein content by Western immunoblotting. Serum total and high-molecular-weight adiponectin, leptin, leptin soluble receptor (sOB-R), and visfatin were measured by ELISA. <b><i>Results:</i></b> The mRNA expression and protein content of AdipoR1 and APPL1 did not differ significantly with obesity, age, or puberty. However, GTPase Rab5 protein was increased in the adipocytes of younger prepubertal children with obesity but decreased in AO. Leptin was increased in AO compared to lean adolescents (AL) and in older prepubertal lean (OPL) children and AL compared to younger prepubertal lean and obese children. sOB-R was higher in OPL children and in the AL and AO. Serum visfatin was increased in the younger prepubertal children and AO. <b><i>Conclusions:</i></b> In contrast to adults, obesity did not change the expression of AdipoR1 and APPL1 in cultured adipocytes from biopsies of subcutaneous abdominal adipose tissue of children and adolescents. Similar to adipose tissue studies in adults with obesity and metabolic dysfunction, the AO in our study showed reduced adipocyte GTPase Rab5 expression.
DOI: 10.6084/m9.figshare.5198005.v1
title: THPdb: Database of FDA Approved Peptide and Protein Therapeutics

description: THPdb is a manually curated database of Food and Drug Administration (FDA) approved therapeutic peptide and proteins. The text file contain all the data curated in THPdb.
DOI: 10.6084/m9.figshare.765452.v2
title: ToPS: A framework to manipulate probabilistic models of sequence data

description: ToPS: A framework to manipulate probabilistic models of sequence data
DOI: 10.17632/mpgzxmfhrc
title: Model: ML confusion matrix for Isolation

description: Purpose:

Simulated dataset for exploring the performance of a machine learning model in classifying individuals as "at risk" or "not at risk" based on a set of features.
Used for testing model accuracy, evaluating feature importance, and understanding model behavior under varying conditions.
Key Components:

Features:
Synthetic, not based on real-world data.
5 features:
Question1, Question2, Question3 (random integers between 1 and 6)
Trait1, Trait2 (randomly generated numbers)
Represent potential questionnaire responses or other relevant attributes.
Target Variable:
Binary (0 for "not at risk", 1 for "at risk")
Simulated with a 70/30 class distribution (30% "not at risk", 70% "at risk")
Sample Size:
2000 samples
Machine Learning Model:
Random Forest Classifier with 100 estimators and a maximum depth of 10
Trained and evaluated using standard metrics (accuracy, classification report, confusion matrix)
Considerations:

Simulated Data: Does not reflect the complexity and nuances of real-world data.
Feature Meaning: Actual meanings of features are not specified, limiting interpretation of results.
Class Balance: Adjusted to be more balanced, but still not representative of all real-world scenarios.
Next Steps:

Validate with Real-World Data: Assess model performance on actual data to ensure generalisability.
Incorporate Additional Features: Explore incorporating more complex and realistic features.
Explore Different Models: Experiment with other algorithms to compare performance.
Address Class Imbalance: Consider techniques like oversampling or under-sampling to handle imbalanced datasets effectively.
DOI: 10.6084/m9.figshare.24923460.v3
title: Supplementary Table S1‒6 for "The effect of fluorine on mineral-carbonatitic melt partitioning of trace elements – Implications for critical mineral deposits"

description: Table S1. Calculated trace element concentrations of 0.03-0.3% carbonatitic melt from garnet lherzolite and spinel lherzolite under fluorine-bearing and fluorine-free conditions.Table S2. Calculated bulk Ds applicable for sediment and oceanic crust derived carbonatite.Table S3. Calculated trace element concentrations of 0.03-1% ocean crust derived carbonatite using newly obtained partition coefficients.Table S4. Calculated trace element concentrations of 0.03-1% sediment eclogite-derived carbonatite using newly obtained partition coefficients.Table S5. Trace element characteristics of continental lithospheric mantle with the addition of carbonatitic melt from subducted sediments and ocean crusts.Table S6. Calculated trace element concentrations of 0.03-1% carbonatitic melt from continental lithospheric mantle (garnet lherzolite) metasomatized by sediments and ocean crust derived carbonatitic melt under fluorine-bearing conditions.
DOI: 10.6084/m9.figshare.25100216.v1
title: Anexo A. Bases de datos de las medias y medianas de las variables empleadas en el modelamiento espacial.

description: Bases de datos de las medias y medianas de la precipitación, los índices de vegetación y humedad, el modelo digital de terreno y las variables edáficas empleadas en el modelamiento espacial.
DOI: 10.17632/d9899vc48f
title: Distributional impacts of cash transfers on the multidimensional poverty of refugees: The Emergency Social Safety Net in Turkey

description: This code accompanies the paper Robson, Vollmer, Doğan & Grede, (2024), “Distributional Impacts of Cash Transfers on the Multidimensional Poverty of Refugees: The Emergency Social Safety Net in Turkey”, World Development. In the paper, we analyse the impact of the Emergency Social Safety Net (ESSN) cash programme on the multidimensional poverty of refugees in Turkey, using a purpose-built Refugee Multidimensional Poverty Index. We conduct a causal analysis of both average and distributional impacts of the ESSN on the incidence and intensity of multidimensional poverty, and decompose effects for separate dimensions and indicators of poverty. Here, we provide code for the paper in R and Stata. In the R Script, we include programmes to estimate probabilistic potential outcomes, using the beta-binomial distribution. The data we used was the Comprehensive Vulnerability Monitoring Exercise (CVME), is a confidential, so is not uploaded here. Please contact us if you have any questions.
DOI: 10.25442/hku.23275862.v1
title: <em>Supporting data for "Quantum transport studies on graphene-transition metal dichalcogenides heterostructures"</em>

description: The experimental data used to plot the figures in the thesis and is saved in "mat" format. They were collected from low-temperature quantum transport measurements in samples with graphene-transition metal dichalcogenide structures.
DOI: 10.6084/m9.figshare.11966550.v3
title: Supplemental Data

description: <b>Supplemental Tables S1-S4; Supplemental Figures S1-S11; and Supplemental Datasets S1-S3</b>
DOI: 10.17632/r639f4g276
title: Bruggeman model visualization for porous materials

description: This file contains a simple visualization of Bruggeman theoretical values of thermal conductivity of porous materials. By changing the shape of pores and their orientation in the material one can observe how strongly this porosity lowers the total thermal conductivity.
DOI: 10.6084/m9.figshare.20154404.v4
title: Host-tree selection by the ant garden-initiating arboreal ponerine Neoponera goeldii

description: Host tree survey counts 1. Presentation of the data gathered from 10 x 5 m plots along the road leading to Petit Saut. Every horizontal lines is highlited for readlability; the vertical lines 2. Pesentation of the data gathered from 10 x 5 m plots near Régina over 90 m on Route 2 around kilometric point 118
DOI: 10.17632/dr7y44vrzy
title: Database of polychlorinated dibenzo-p-dioxins, dibenzofurans and dioxin-like and non-dioxin like polychlorinated biphenyls in bivalves from Shellfish Production Areas in the Basque coast (southeastern Bay of Biscay)

description: This dataset presents the levels of 17 polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs), and 12 dioxin-like polychlorinated biphenyls (DL-PCBs) (PCB-81, PCB-77, PCB-126, PCB-169, PCB-123, PCB-118, PCB-114, PCB-105, PCB-167, PCB-156, PCB-157 and PCB-189) in bivalves collected annually from 2008 to 2023 in the Shellfish Production Areas of the Basque coast (southeastern Bay of Biscay). Additionally, data on 6 non-dioxin like polychlorinated biphenyls (NDL-PCBs) (PCB-28, PCB-52, PCB-101, PCB-153, PCB-138 and PCB-180) are provided for the 2012-2023 time period. Depending on the availability of bivalves at each Shellfish Production Area, different species, such as mussels (Mytilus galloprovincialis) and oysters (Magallana gigas and Ostrea edulis), were used for the evaluation. Bivalve samples were analyzed following standardized methodologies according to the specific requirements established at the corresponding EU Regulations. This work was supported by the Fisheries and Aquaculture Directorate, Department of Economic Development, Sustainability and Environment of the Basque Government through CULTIVOS Project.
DOI: 10.17632/ggc3pz78w4
title: Database of sixteen riparian management measures

description: We present a database of management options comprising basic attributes to specific, targeted actions that can be considered modular options for improved riparian zone management. The application of vegetated buffer zones for watercourse protection in agricultural and developed lands is common place. Often though these strips fail to deliver their full potential for benefits due to mismatches between the buffer zone design with the landscape, magnitude and mix of pressures and the pollution pathways (for example surface vs sub-surface pathways). Yet, knowledge on a range of specific measures that may be used in the riparian space is developing across water quality, habitat restoration and natural flood management disciplines, but these are seldom considered together as packages of options for riparian and field edge management. This database draws together on the functioning, basic evidence, testing locations, guidance and effectiveness of measures across categories: baseline riparian margin space; surface runoff and sedimentation options; subsurface pathway options; in-channel options. These measures have been researched and collated by the Smarter BufferZ project (funded by the Irish Environmental Protection Agency: Research).
DOI: 10.17632/vj3c828cxs
title: MSD analysis with KymographDirect and @msdanalyzer

description: MATLAB code that loads particle tracking data (position vs time) for kymographs extracted using KymographDirect (https://sites.google.com/site/kymographanalysis/). MSD and other analyses are performed with a modified version of the package msdanalyzer (http://tinevez.github.io/msdanalyzer/).
DOI: 10.6084/m9.figshare.19552135.v2
title: SSC variations

description: sediment variations
DOI: 10.6084/m9.figshare.28024991.v1
title: <b>Without visual feedback voluntary torque is overestimated during muscle potentiation despite similar motor unit firing rate and perception of exertion</b> -Supplemental tables

description: Supplemental table 1 and 2
DOI: 10.6084/m9.figshare.19919696.v1
title: Calixto et al. 2022 AJB

description: This Readme_file.txt file was generated on 2022-05-29 by Eduardo Calixto <br> GENERAL INFORMATION <br> 1. Title of Dataset: Revisiting the ant-plant-pollinator interaction: new insight into the importance of mutualist partners identity for plant fitness <br> 2. Author Information Eduardo S Calixto1,5*; Danilo B Santos; Denise Lange2; Helena M Torezan-Silingardi3; Robert J Marquis4; Kleber Del-Claro1,3 1 Programa de Pos-Graduacao em Entomologia. Faculdade de Filosofia, Ciências e Letras. Universidade de São Paulo. Av. Bandeirantes, 3900, 14040-901, Ribeirão Preto, SP, Brazil. ESC – calixtos.edu@gmail.com, DBS – santosdanilo499@gmail.com 2 Universidade Tecnológica Federal do Paraná, Campus Santa Helena, Rua Cerejeira, s/n, 85892-000, Santa Helena, PR, Brazil. DL – deniselange@yahoo.com.br 3 Laboratório de Ecologia Comportamental e de Interações. Instituto de Biologia. Universidade Federal de Uberlândia, Cx.P. 593, 38400-920, Uberlândia, MG, Brazil. HMTS – hmtsilingardi@gmail.com, KDC – delclaro@ufu.br 4 Department of Biology and the Whitney R. Harris World Ecology Center, University of Missouri-St. Louis, 1 University Boulevard, St. Louis, Missouri 63121-4499, USA. RJM – Robert_Marquis@umsl.edu Corresponding author. Eduardo S. Calixto. ORCID: 0000-0003-3617-2464. E-mail: calixtos.edu@gmail.com <br> <br> DATA & FILE OVERVIEW <br> 1. File List: 1.1 data_raw: contains all the data collected. Each sheet within this excel file is related to a prediction. When runing the R code, it will automatically load the correct data_sheet. 1.2 R_scripts: Each R code is related to a prediction to be tested. Check methods and data collection in Dryad website to reference each code to each prediction <br> METHODOLOGICAL INFORMATION <br> 1. All methodological approach has been uploaded in the Dryad webpage, in which readers can check how we collected and analysed our data.
DOI: 10.6084/m9.figshare.24231019.v2
title: Weekly cholera cases by governorate and district in Yemen between 2016 and 2020

description: These datasets have been digitised from publicly available official WHO data on cholera cases in Yemen. They are provided in xlsx and csv formats.More information on cholera surveillance in Yemen is available in the report Cholera in Yemen:<br>a case study of epidemic preparedness and response by the Johns Hopkins Center for Humanitarian Health.EOC dashboard dataThe dataset "YEM-CHOLERA-EOC-DIS-WEEK-20170424-20200621" contains weekly cholera case counts by district (administrative level 2) in Yemen from 2017-04-24 to 2020-06-21.These data were automatically extracted from the cholera dashboard developed by the emergency operations center (EOC) led by WHO. The EOC brought the efforts of all UN agencies, Humanitarian partners, government ministries and other stakeholders together in one place. The EOC concept worked at national and governorate levels led by the incident management cell of WHO. This unified platform provided Operations, technical, logistics and Information Management support during the cholera epidemic in Yemen.WHO Epi Bulletin dataThe dataset "YEM-CHOLERA-WHO-GOV-WEEK-20160926-20170423" contains weekly cholera case counts by governorate (administrative level 1) in Yemen from 2016-09-26 to 2017-04-23.The EOC dashboard does not contain data on the first wave of the cholera epidemic in Yemen, which occurred in 2016. For this period, the only publicly available data comes from the WHO Epidemiological Bulletin, which was published regularly on the WHO website as well as on Relief-Web. The report for the week 26 of 2016 (see file "WHO-YEM-CHOLERA-EPI-BULLETIN-2018-W26.pdf") contains time series graphs of weekly cholera cases by governorate, which have been digitised using PlotDigitizer. Due to the limited resolution of the graphs, we have decided to round the value obtained to the nearest 50.Combined dataThe dataset "YEM-CHOLERA-WHOEOC-GOV-WEEK-20160926-20200621" contains weekly cholera case counts by governorate (administrative level 1) in Yemen from 2016-09-26 to 2020-06-21.This dataset was created by aggregating district-level EOC dashboard data at governorate level and combining it to data from the first wave of the WHO Epi Bulletin.Dictionary of variablesgovernorate_en (text) : name of governorate in Englishgovernorate_ar (text) : name of governorate in Arabicdistrict_en (text) : name of district in Englishdistrict_ar (text) : name of district in Arabicdate_monday (date) : start date of the week (Monday)date_sunday (date) : end date of the week (Sunday)cases (integer) : number of cholera cases reported on that week<br><br>
DOI: 10.6084/m9.figshare.25976365.v5
title: <b>Behavioral recognition of a hoolock gibbon species</b><b> in captivity </b><b>with deep learning based on spatiotemporal characteristics</b>

description: This collection contains a dataset for identifying the spatio-temporal behavior of captive hoolock gibbon, including images and corresponding labels, as well as deep learning model code.
DOI: 10.17632/98w8mfpmj2
title: PREVALENCE OF LOWER CROSS SYNDROME OWING TO SEDENTARY LIFESTYLE AMONG STUDENTS WITH OR WITHOUT LOW BACK PAIN: A CROSS- SECTIONAL STUDY

description: ABSTRACT Back ground: The present study focus on musculoskeletal pain prevailing in college students owing to sedentary lifestyle. Prolong periods of sitting leads to hip flexors tightness and abdominal weakness leading to back ache due to erector spinae muscles tightness. The present study is being conducted to evaluate the prevalence of lower cross syndrome in students. Purpose: To study prevalence of lower cross syndrome among students with sedentary lifestyle. Method: Students of within age group between 18-25 years with sedentary lifestyle were recruited. The participants will be selected by purposive sampling method. Lower cross syndrome will be assessed by postural assessment in lateral view. International physical activity questionnaire was filled. Muscular strength will be determined by oxford scale for Manual muscle testing. Modified-Modified Schober’s test will be used to determine lumbar range of motion and trunk extensor tightness. Iliopsoas muscle length testing was done with universal goniometer. Visual analog scale is used to assess the pain. Lower Extremity Functional Scale was filled. Result: Prevalence of lower cross syndrome was 1.4% in college going individuals with sedentary lifestyle as outcome of the study. Conclusion: The study concluded that there is minimal prevalence of lower cross syndrome in college students with sedentary lifestyle. Keywords: Musculoskeletal pain, Sedentary behavior, Lower cross syndrome
DOI: 10.25422/azu.data.28647359.v1
title: Tomopac2: an unfolded-slab plate reconstruction validated via mantle circulation models in a closed-loop experiment

description: <i>Tomopac2 plate tectonic reconstruction files for the software GPlates</i>In this folder are the GPlates files for Version 1 of the global plate tectonic reconstruction model TOMOPAC2. The TOMOPAC2 model is a topologically-closed, global plate tectonic model with an enhanced circum-Pacific plate tectonic history using structurally-restored slabs from mantle seismic tomography as a prioritized constraint. The plate reconstruction is validated using mantle circulation models by reproducing slab structures comparable to those in the input seismic tomographyAssociated publication: Chen YW, Wu J, Bunge HP, Stotz I, Robl G, Schuberth BSA (submitted) Tomopac2: an unfolded-slab plate reconstruction validated via mantle circulation models in a closed-loop experiment. Proceedings of the Royal Society A: Mathematical Physical and Engineering Sciences.<br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.26180/20291913.v3
title: S6_File.doc

description: Prisma checklist
DOI: 10.17632/2h4vpg5yhp
title: Supplementary data to the ISSED-F model

description: ANP and PROMETHEE studies consist of the proposed evaluation framework as well as the dataset regarding the supplier performance on economic, environmental, and social dimensions of sustainability.
DOI: 10.17632/v9b7rwrwx9
title: Data for: Estimation of Cercospora Leaf Spot Disease Severity in Table Beets from UAS Multispectral Images

description: This dataset comprises multispectral images collected via Unmanned Aerial Systems (UAS) over study plots at Cornell Agritech in Geneva, NY, USA. The images capture various crop conditions and are paired with assessments of disease severity, specifically CLS (Cercospora Leaf Spot).

Data Collection:
The multispectral imagery spans two collections:
* Multispec_2021_2022: Contains images with five spectral bands (475 nm, 560 nm, 668 nm, 717 nm, 840 nm), collected during the 2021 and 2022 growing seasons.
*Multispec_2023: Includes imagery from four spectral bands (560 nm, 650 nm, 730 nm, 860 nm), collected in the 2023 growing season.

File naming convention:
Each image file is named according to the plot number and the date of capture, using the format plt_rYYYYMMDD, where:
* 'plt' stands for the plot number.
* 'YYYYMMDD' represents the date on which the image was captured (year, month, day).
For example, the file name 5_r20210715 corresponds to an image taken on July 15, 2021, from study plot 5.

Disease Severity data:
File named CLS_DS contain visual assessments of CLS disease severity, noted for each plot.
DOI: 10.17632/x3jz6b64f5
title: AAD Guidelines- Focused Update: Guidelines of care for the management of atopic dermatitis in adults

description: Background: In 2023 and 2024, the AAD published guidelines on the use of topical and systemic therapies for the management of atopic dermatitis (AD) in adults. Since the publication of these guidelines, several novel therapies have emerged to treat AD.

Objective: To update previous guidelines on the management of AD in adults by providing evidence-based recommendations on the use of additional FDA-approved topical and systemic therapies.

Methods: A multidisciplinary workgroup conducted a systematic review and applied the GRADE approach for assessing the certainty of evidence and formulating and grading recommendations. 

Results: The workgroup developed four new recommendations for the management of AD in adults.
Limitations: This analysis is based on the best available evidence at the time it was conducted. Most randomized controlled trials of the considered therapies for AD are of short duration, limiting comparative long-term efficacy and safety conclusions.
DOI: 10.6084/m9.figshare.12782552.v2
title: A new hybrid ensemble model with voting-based outlier detection and balanced sampling for credit scoring

description: Three datasets from the UC Irvine (UCI) machine learning repository, that is, the Australian, German, and Japanese datasets, were adopted for the current study. The Australian credit dataset contains 690 samples, of which 307 are positive and 383 are negative. The dimensions of its input features are 15. The German credit dataset contains 1000 samples, 700 of which are positive and 300 are negative. The dimensions of its input features are 21. The Japanese credit dataset contains 690 samples, of which 383 are positive and 307 are negative. The dimensions of its input features are 16.
DOI: 10.17605/osf.io/xqvrb
title: Data and materials for propensity to cheat scale

description: The repository contains SPSS data, consent form and questionnaire
DOI: 10.17632/p4sbrktkhj
title: Time Series Database (Indian Economy)

description: The first database comprises the time series of ICT goods exports, Outward FDI and GDP of Asia as a whole. The second database comprises the total state expenditure on health, population and State domestic product of each state of Indian economy.
DOI: 10.17632/sv7k3gkss6
title: Scottish Wild Seaweed mineral levels

description: Scottish wild seaweeds were analysed for their mineral and heavy metal content to identify those species with levels of minerals containing low levels of heavy metals which could be utilised as significant sources of plant-based dietary relevant minerals.