cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19493996.v1
title: Multi-Step Reasoning for IoT Devices

description: Internet of Things (IoT) devices are growing constantly in numbers, being forecasted to reach 27 billions in 2025. With such a large number of connected devices, the energy consumption concerns are a major priority for the upcoming years. Cloud / edge / fog computing are critically associated with IoT devices as enablers for data communication and coordination among devices. In this paper, we look at the distribution of semantic reasoning between different IoT devices and define a new class of reasoning, multi-step reasoning that can be associated at the level of the edge or fog node in the context of an IoT cloud / edge / fog computing topology. We conduct an experiment based on synthetic datasets to evaluate the performance of multi-step reasoning in terms of power consumption and other metrics. Overall we found that multi-step reasoning can help in reducing computation time and energy consumption on IoT devices in presence of larger datasets.
DOI: 10.5281/zenodo.6501883
title: Small-scale farming in drylands: New models for resilient practices of millet and sorghum cultivation - Dataset and code

description: <strong><em>There exists a NEWER version of these files (version V 2.0) with minor corrections in the datasets and a simplification of the code. Please, use the more recent version. that you can find on the left hand side of the Zenodo page.</em></strong> This repository contains the primary research data and R code used for data analysis for the article <em>Small-scale farming in drylands: New models for resilient practices of millet and sorghum cultivation</em> Published in the journal PLOS ONE N.B. To run the code unzip the folder 9-RData.zip and save it in the same working directory as the datasets.
DOI: 10.17632/t3hds48yz9.1
title: G-quadruplex structures are key modulators of somatic structural variants in cancers

description: The active G-quadruplex dataset, which was obtained by merging in vivo G4s derived from multiple cancer cell lines.
Detailed information:
-- Genome build: hg19
-- Chromosomes: CHR1-22
-- Format: bed
-- Source cell lines: K562, HepG2, A549, H1975, and 93T449
DOI: 10.17632/jh7h5cx4yh.1
title: TNIP1 inhibits selective autophagy via bipartite interaction with LC3/GABARAP and TAX1BP1

description: Mitophagy is a form of selective autophagy that disposes of superfluous and potentially damage-inducing organelles in a tightly controlled manner. While the machinery involved in mitophagy induction is well known, the regulation of the components is less clear. Here, we demonstrate that TNIP1 knock out accelerates mitophagy rates, and that ectopic TNIP1 negatively regulates the rate of mitophagy. These functions of TNIP1 depend on an evolutionarily conserved LIR motif as well as an AHD3 domain, which are required for binding to the LC3/GABARAP family of proteins and the autophagy receptor TAX1BP1, respectively. We further show that phosphorylation appears to regulate its association with the ULK1 complex member FIP200, allowing TNIP1 to compete with autophagy receptors, providing a molecular rationale for its inhibitory function during mitophagy. Taken together, our findings identify a novel negative regulator of mitophagy that acts at the early steps of autophagosome biogenesis.
DOI: 10.17632/6c7p4p9yxk.1
title: 2022/03616-1 Avaliação da tolerância à glicose durante o período de lactação e pós-desmame no modelo experimental de diabete gestacional

description: O diabetes mellitus gestacional (DMG) é uma desordem metabólica que pode levar a uma série de complicações a curto e longo prazo para a mãe e seus descendentes. Uma das formas de diagnóstico do DMG é o teste de tolerância oral à glicose (TTOG). Apesar de diversos estudos indicarem um risco aumentado para o desenvolvimento de DM2 e, também, para recorrência de DMG em gestações subsequentes, gestantes diagnosticadas com DMG geralmente não passam por um acompanhamento da glicemia no período pós-parto. Para melhor compreensão dos mecanismos fisiopatológicos pelos quais o DMG afeta o organismo materno, diversos modelos experimentais foram desenvolvidos. Relatos na literatura sobre como a glicemia materna evolui no período pós-parto são escassos. Desse modo, o objetivo do estudo cujo os dados estão apresentados foi avaliar a tolerância à glicose durante o período de lactação e pós-desmame no modelo experimental de diabete gestacional. Para tal, foi utilizado um modelo de hiperglicemia moderada através da administração de streptozotocina (STZ- 35mg/kg). Parte das ratas receberam injeção i.p. de STZ diluído em tampão citrato no dia 7 de prenhez (STZ, n=8), enquanto as demais fêmeas receberam somente tampão (Controle, n=8). O TTOG foi realizado durante a prenhez para validar o modelo experimental de diabete gestacional e em seguida foi repetido na lactação e pós-desmame para avaliar o metabolismo da glicose nesses diferentes períodos. Nossa hipótese é que no período pós-natal ocorra uma mudança no perfil glicêmico das mães quando comparado ao quadro de intolerância à glicose estabelecido na prenhez.
DOI: 10.17632/cr792c3fr4.1
title: Communication Platform Utilization During Ambulatory Care Telemedicine Visits

description: Supplementary Figure 1. Communication Platform Utilization During Ambulatory Care Telemedicine Visits. Percentages of communication platform utilization during telemedicine encounters from ambulatory care clinics affiliated with acute chare facilities in NYC Health + Hospitals system between 01/01/2021-11/1/2022. The majority of telemedicine visits in the safety-net system were conducted by telephone during the pandemic period.
DOI: 10.17632/m7phkgw3dn.1
title: Computational thermo-elastic homogenization of Al2O3 and SiC polycrystals by DR-BEM

description: The presented data have been generated employing a grain-scale framework for thermo-elastic analysis and computational homogenization of polycrystalline materials.

In the developed framework:

1) The morphology of crystal aggregates is represented employing Voronoi tessellations generated through the open source package NEPER ( https://neper.info/ ). 
2) The behaviour of individual grains is modelled using an integral representation for fully anisotropic thermo-elasticity, numerically addressed through a dual reciprocity boundary element method (DR-BEM).
3) The integrity of the aggregate is restored through intergranular thermoelastic continuity conditions. 

The framework has been tailored for computational thermo-elastic homogenization of polycrystalline materials and it has been applied to the statistical computational homogenization of SiC and Al2O3 polycrystals, whose data are presented here.

Detailed information about the provided data and detailed steps access it are given below.
DOI: 10.17632/hhncshpt33.2
title: RNA Seq of Spirodela, Pistia and Arabidopsis root versus shoot

description: RNASeq data for Ware et al., 2022
DOI: 10.17632/rxkwryd6mv.2
title: Comparing End-effector position and Joint angle feedback for online Robotic Limb tracking

description: We compared blindfolded participants' performance in tracking a robotic limb with two different supplementary feedback: Task and Joint-space feedback. The dataset reports performance obtained by participants in the 5 different considered indexes: position error, onset delay, delay-compensated position error, aiming error and learning index in both conditions (Task vs Joint).

Created using Matlab version R2017a
DOI: 10.17632/5m2bywz32x.1
title: Comparing End-effector position and Joint angle feedback for online Robotic Limb tracking (XLSX)

description: We compared blindfolded participants' performance in tracking a robotic limb with two different supplementary feedback: Task and Joint-space feedback. The dataset reports performance obtained by participants in the 5 different considered indexes: position error, onset delay, delay-compensated position error, aiming error and learning index in both conditions (Task vs Joint).
DOI: 10.17632/827345g6nt.1
title: Dataset on Grave's disease inhibition

description: Data for publication in Data in Brief
DOI: 10.17632/2xrvg2sfbp.3
title: Hossain et al JAAD - Keratinocyte carcinoma resected by Mohs micrographic surgery in individuals with skin of color: an observational study

description: Supplementary Table I: Tumor and Mohs Micrographic Surgery in Hispanic Individuals Characterized by Fitzpatrick Skin Type

Supplementary Table II:Tumor and Mohs Micrographic Surgery Characteristics in 263 Cases Stratified by Race/Ethnicity Compared to NHW Individuals

Supplemental data accompany the following research letter:
Keratinocyte carcinoma resected by Mohs micrographic surgery in individuals with skin of color: an observational study.

Onjona B. Hossain BS, Karolina Mieczkowska MD, Rithu Srikantha MD, Alexandra Rzepecki MD, David H. Ciocon MD, Dean Hosgood PhD, Ramone F. Williams MD, MPhil
DOI: 10.17632/znby6pwt5x.3
title: An innovative scheme to confront the trade-off between water conservation and heat alleviation with environmental justice for urban sustainability: The case of Phoenix, Arizona

description: How to cite this article: Yuanhui Zhu, Soe Myint, Xin Feng, Yubin Li. An Innovative Scheme to Confront the Trade‐Off Between Water Conservation and Heat Alleviation With Environmental Justice for Urban Sustainability: The Case of Phoenix, Arizona. AGU Advances, 4, e2022AV000816. https://doi.org/10.1029/2022AV000816.
This study aims to develop a practical and integrated framework to tackle the tradeoff between land surface temperature (LST) reduction and water conservation for heat mitigation and resilience planning in Phoenix, Arizona. We developed a multi-objective framework of spatial optimization for priority areas that consider environmental justice. We employed the priority areas (i.e., residential districts, socio-economically disadvantaged neighborhoods, hotspot regions, and opportunity areas), ECOSTRESS-based LST, actual evapotranspiration (ETa, as a proxy to water use), Landsat-based LST and ETa changes (2000–2020), and the evaporative stress index (ESI). These datasets are used to identify the priority areas in which environmental conditions need to be improved seriously and (2) spatially optimize the placement of new green space (tree %, grass %) in the priority areas to realize the most significant LST reduction and minimum OWU. We provide the results of the new green space configurations with the scenarios for the percentage of new vegetation coverage (including trees and grass) overall increased to 25%, 35%, and 45% within the entire study areas, residential districts, socio-economically disadvantaged neighborhoods, and hotspot regions.
The dataset summarization
We provide the different scenarios in shapefile format for spatial distributions of new space configurations. The naming convention for attribute tables in shapefile is :

VV_new_perNN_LSTWW

where:

VV = New vegetation for tree or grass
NN = The scenarios with new vegetation increased to 25%, 35%, or 45% (unit: %)
WW = The weight values of land surface temperature range from 0 to 1 (unit: %) when executing spatial optimization for the tradeoff between land surface temperature reduction and outdoor water use conservation with vegetation coverage. The weight of 0 represents that our spatial optimization models only focus on outdoor water use conservation, and the weight of 1 denotes that we only consider land surface temperature reduction. 
Example: grass_new_per25_LST65 means -- new vegetation for grass; the scenario is set up by new vegetation increased to 25%; the weight of land surface temperature is 0.65. 
The datasets include (1) ECOSTRESS-based land surface temperature in summer daytime and nighttime, evaporative stress index in summer, and total evapotranspiration in summer; (2) Landsat-based land surface temperature and evapotranspiration Sen's slope; (3)the results of the new green space configurations with the scenarios for the percentage of new vegetation coverage (including trees and grass) overall increased to 25%, 35%, and 45%.
DOI: 10.17632/ygwrwtryz2.1
title: Remote sensing for cost-effective blue carbon accounting

description: This repository contains the data used to generate Figure 1 and 2 in the article "Remote sensing for cost-effective blue carbon accounting" (2023) in Earth-Science Review
DOI: 10.17632/zb96mzvhv5.1
title: Biogeographic annotation of Arctic unicellular eukaryotes based on Tara Oceans data

description: This is the Appendix of a work by Ibarbalz et al., entitled "Pan-Arctic plankton community structure and its global connectivity". The Appendix consists of a resource table containing the biogeographic classification and taxonomic affiliation of OTUs detected in the Arctic Ocean. OTUs are constructed based on the Tara Oceans 18S rRNA gene metabarcoding data set, V9 and V4 variable regions.
DOI: 10.17632/cbcxjsrhvk.1
title: Factors Affecting the Return on Education in Jordan 

description: questioner data
DOI: 10.17632/tv4d6wy2j2.1
title: Data For: Compositional Variations in Sedimentary Deposits in Gale Crater as Observed by ChemCam Passive and Active Spectra

description: Included in the "Masterlist.xlsx" is the data used in "Compositional Variations in Sedimentary Deposits in Gale Crater 
as Observed by ChemCam Passive and Active Spectra" (2023). You can see relevant passive spectral metadata (sol, filename, target, etc.) 
appended to the corresponding LIBS elemental abundances as well as the calculated passive spectral parameters used in our analysis.

If you have any questions, do not hesitate to contact Henry Manelski (hmanelsk@purdue.edu).

-------------
Written by Henry Manelski on behalf of the authors
DOI: 10.17632/fbscmmg4y5.3
title: Mendeley Supplement 1 for "Disparities in Asian American Melanoma Diagnosis and Treatment from 1990-2014 -- Response to Zheng et al. "Poor melanoma outcomes and survival in Asian American and Pacific Islander patients"

description: Mendeley Supplement 1 for "Disparities in Asian American Melanoma Diagnosis and Treatment from 1990-2014 -- Response to Zheng et al. "Poor melanoma outcomes and survival in Asian American and Pacific Islander patients"
DOI: 10.17632/tjr2g23t6s.2
title: Microarray Data for Rice

description: NCBI Gene Expression Omnibus GEO (https://www.ncbi.nlm.nih.gov/geo/)
Repository name: NCBI BioProject PRJNA681396
Data identification number:  
GEO accession GSE162302
www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE162302
GSM4948814 Prasanna_Seedlings-Shoot_0_1 [NMA1] 
GSM4948815 Prasanna_Seedlings-Shoot_0_2 [NMA2]
GSM4948816 Prasanna_Seedlings-Shoot_100_1 [NMA3]
GSM4948817 Prasanna_Seedlings-Shoot_100_2 [NMA4]
GSM4948818 Varadhan_Seedlings-Shoot_0_1 [NMA5]
GSM4948819 Varadhan_Seedlings-Shoot_0_2 [NMA6]
GSM4948820 Varadhan_Seedlings-Shoot_100_1 [NMA7]
GSM4948821 Varadhan_Seedlings-Shoot_100_2 [NMA8]
GEO accession GSE162412
www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE162412
GSM4951206	Prasanna_Seedlings-Root_0 [NMA9]
GSM4951207	Prasanna_Seedlings-Root_100_1[NMA11]
GSM4951208	Prasanna_Seedlings-Root_100_2 [NMA12] 
GSM4951209	Varadhan_Seedlings-Root_0 [NMA14]
GSM4951210	Varadhan_Seedlings-Root_100_1[NMA15]
GSM4951211	Varadhan_Seedlings-Root_100_2 [NMA16]
DOI: 10.17632/8k5d46ghsd.1
title: Jeanne&Sandri Global Financial Cycle and Liquidity Management

description: Data and code for Jeanne & Sandri's "Global Financial Cycle and Liquidity Management"
DOI: 10.17632/fdh7n692vz.1
title: Dataset: Adaptive Modelling for Security Vulnerability Propagation

description: This dataset was used to construct and simulate the security vulnerability propagation model in the study entitled: Adaptive Modelling for Security Vulnerability Propagation to Predict the Impact of Business Process Redesign. In this study, we used six business process redesign (BPR) case studies that occurred in Magento 2.1 to 2.2 and Magento 2.2 to 2.3. This dataset was used as input for the propagation modelling of information security vulnerabilities. We have 11 datasets representing the Magento business process models from Magento 2.1, 2.2, and 2.3, their vulnerability data, and their relation with application modules. In Magento 2.1 to 2.2, BPR occurred in the processes of managing consumer accounts, managing communication channels, and managing payments. The dataset on the first and second sheets relates to the process of managing consumer accounts in Magento 2.1 and 2.2. The dataset on the third and fourth sheets relates to the process of managing communication channels in Magento 2.1 and 2.2. Meanwhile, the dataset on the fifth and sixth sheets relates to the process of managing payments in Magento 2.1 and 2.2. In the upgrade from Magento 2.2 to 2.3, BPR appeared in managing payments, inventory, and shipping. The dataset on the sixth and seventh sheets relates to the process of managing payments in Magento 2.2 and 2.3. The eighth and ninth sheets dataset relates to the process of managing inventory in Magento 2.2 and 2.3. Meanwhile, the dataset on the tenth and eleventh sheets relates to the process of managing shipping in Magento 2.2 and 2.3.

Each dataset contains a list of tasks (Task ID and Task Name column) that make up the Magento business process model. Tasks can be under a process (Process Name column) or a sub-process (Sub Process column). Data for each task is accompanied by the task type (Task Type column) and the task vulnerabilities. Task vulnerabilities are expressed by the CWE ID (Task Vuln column). The vulnerability scores consist of the score for each CWE (Task Vuln Score column) and the maximum score for each task (Max Task Score column). These vulnerability data were obtained from the results of the previous study entitled: Information Security Vulnerability Prediction Based On Business Process Model Using Machine Learning Approach. Each task is also accompanied by the next task (Next Task column) that follows so it can be used to form a series of business process models. Each task is also accompanied by a related module (Related Module ID and Related Module column) along with module vulnerability data. Module vulnerability data consists of two types, the predicted score (Max Predict column) and materialized score (Module Exploited Vuln Score) based on Magento CVE vulnerability data from the National Vulnerability Database (NVD).
DOI: 10.17632/stf3kg7fw3.1
title: Bankruptcy Prediction Using Deep Learning with Textual Information

description: The database is constructed by the textual data and numerical data. The textual data includes Risk Factors (Rifa), Management’s Discussion and Analysis of Financial Condition and Results of Operations (MD&A), which are Item 1A and Item 7 in the annual 10-K fillings, respectively, and text data from Twitter. The numerical data(39FV_2021June(2).csv) contains financial ratios and accounting variables. 10-K disclosure textual data and tweets data are in NUM10K and NUMtw files. They can be used to train bankruptcy prediction models solely or with numerical data. Our study aims to investigate methods of managing textual data from various sources and to develop a model that combines textual and numerical data to increase prediction power.


 Compustat North America : https://wrds-www.wharton.upenn.edu/
S.E.C website: https://www.sec.gov/edgar/search-and-access
Twitter: https://mobile.twitter.com
DOI: 10.17632/drh8fsk532.1
title: SMALL and its effects on speaking performance and anxiety

description: This data set contains, statistical outputs, interview analysis, and other documents related to the experimental study conducted using social media combined with classroom instruction to see its effects on speaking performance and anxiety in online and offline situations.
DOI: 10.17632/73v4bt52d2.1
title: Are Amino Acid Antiporters Biological Maxwell Demons?

description: Amino acid antiporters mediate the 1:1 exchange of groups of amino acids. Whether substrate specificity can be different for the inward and outward facing conformation has not been investigated systematically, although examples of asymmetric transport have been reported. Here we used LC–MS to detect the movement of 12C- and 13C-labelled amino acid mixtures across the plasma membrane of Xenopus laevis oocytes expressing a variety of amino acid antiporters. Differences of substrate specificity between transporter paralogs were readily observed using this method. Our results suggest that antiporters are largely symmetric, equalizing the pools of their substrate amino acids. Exceptions are the antiporters y+LAT1 and y+LAT2 where neutral amino acids are co-transported with Na+ ions, favouring their import. For the antiporters ASCT1 and ASCT2 glycine acted as a selective influx substrate, while proline was a selective influx substrate of ASCT1. These data show that antiporters can display non-canonical modes of transport.
DOI: 10.17632/hsspmdtkv5.1
title: The role of self-esteem and personality in creativity among Indonesian college students

description: This study aimed at investigating how self-esteem a self-esteem shape personality and both variable predict creativity in the context of Indonesian university students. Data were collected from 265 undergraduate students in East Java province aged from 18 – 25 (M = 20.85; SD = 1.24). Data were collected via an online questionnaire through snowball sampling technique. The scales of the Big Five Inventory, Rosenberg Self-Esteem Scale, and K-DOCS. J. C. Kaufman were originally from English translated into Bahasa Indonesia using reversed translation method. Results indicated that self-esteem could shape personality and both self-esteem and personality were correlated with students’ creativity. Openness was the strongest predictor of creativity, whereas neuroticism negatively correlated with all types of creativity. The result also demonstrated that personality served as a mediating variable in the relationship between self-esteem and creativity. The findings suggested that level of self-esteem could configurate a certain personality. High level of self-esteem can internally motivate activities facilitating the generation of new and innovative ideas and products.
DOI: 10.17632/dk3vwtwfpk.1
title: In silico screening-based discovery of benzamide derivatives as inhibitors of Rho-associated kinase-1 (ROCK1)

description: As a pivotal node in modulating various cell behaviors, Rho-associated kinase-1 (ROCK1) has attracted significant attention as a promising therapeutic target in a variety of diseases. Benzamide has been widely reported as a ROCK1 inhibitors in recent years. To better understand its pharmacological properties and to explore its potential inhibitors, a series of ROCK1 inhibitors derived from N-methyl-4-(4-pyrazolidinyl) benzamides (MPBs) were investigated by using three-dimensional quantitative structure-activity relationship (3D-QSAR) models, pharmacophore models, molecular docking, and molecular dynamics (MD) simulation. The comparative Molecular Field Analysis (CoMFA) model (q2 = 0.616, R2 = 0.972, ONC = 4, and r2pred = 0.983) and the best Comparative Molecular Similarity Indices Analysis (CoMSIA) model (q2= 0.740, R2 = 0.982, ONC = 6, and r2pred = 0.824) exhibited reliable predictability with satisfactory validation parameters. In the subsequent virtual screening, VS03 and VS05 were identified to have superior predicted activities and higher docking scores, meanwhile they demonstrated to be reasonably stable in the binding pocket through MD simulations. These results provide a significant theoretical direction for the rational design and development of novel ROCK1 inhibitors.