cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17003095.v2
title: Total surface shortwave flux distributions 1901-2017 in support of carbon cycle modelling: Constant aerosols.

description: This dataset offers 6-hourly distributions of the total downward shortwave flux over the period 1901-2017. Radiative transfer calculations are based on monthly-averaged distributions of tropospheric and stratospheric aerosol optical depth, and 6-hourly distributions of cloud fraction. Methods follow those described in the Methods section of Mercado et al. (doi:10.1038/nature07949, 2009), but with updated input datasets.<br><br>The time series of speciated tropospheric aerosol optical depth is taken from the historical and RCP8.5 simulations by the HadGEM2-ES climate model (Bellouin et al., doi:10.1029/2011JD016074, 2011). To correct for biases in HadGEM2-ES, tropospheric aerosol optical depths are scaled over the whole period to match the global and monthly averages obtained over the period 2003-2017 by the CAMS Reanalysis of atmospheric composition (Inness et al., doi:10.5194/acp-19-3515-2019, 2019), which assimilates satellite retrievals of aerosol optical depth. In this version of the dataset, monthly aerosol distributions are held fixed to their multi-annual means for 1901-1920.<br><br>The time series of stratospheric aerosol optical depth is taken from the climatology by Sato et al. (doi:10.1029/93JD02553, 1993), which has been updated to 2012. Years 2013-2017 are assumed to be background years so replicate background year 2010. That assumption is supported by the Global Space-based Stratospheric Aerosol Climatology time series (1979-2016; Thomason et al., doi:10.5194/essd-10-469-2018, 2018).<br><br>The time series of cloud fraction is obtained by scaling the 6-hourly distributions simulated in the Japanese Reanalysis (JRA; Kobayashi et al., doi:10.2151/jmsj.2015-001, 2015) to match the monthly-averaged cloud cover in the CRU TS v4.03 dataset (Harris et al. doi:10.1038/s41597-020-0453-3, 2020).<br><br>Surface radiative fluxes account for aerosol-radiation interactions from both tropospheric and stratospheric aerosols, and for aerosol-cloud interactions from tropospheric aerosols, except mineral dust. Tropospheric aerosols are also assumed to exert interactions with cloud. The radiative effects of those aerosol-cloud interactions are assumed to scale with the radiative effects of aerosol-radiation interactions of tropospheric aerosols, using regional scaling factors derived from HadGEM2-ES.<br><br>Atmospheric constituent other than aerosols and clouds are set to a constant standard mid-latitude summer atmosphere.
DOI: 10.6084/m9.figshare.22132034.v2
title: Photovoltaic power plants of Gansu for 2015 and 2020

description: Photovoltaic power plants maps were generated through integrating Landsat imagery, morphological characteristics, and deep learning approaches.
DOI: 10.6084/m9.figshare.4811485.v1
title: Latihan Pemodelan Sederhana Metode Gaya Berat (Gravity)

description: Pemodelan sederhana metode gravity dengn model bola, silinder, dan lempeng. <br>
DOI: 10.6084/m9.figshare.6635642.v1
title: Malware Detection PE-Based Analysis Using Deep Learning Algorithm Dataset

description: Dataset contains 8970 malware and 1000 benign binaries files. Malware files which are divided into 5 types: Locker (300), Mediyes (1450), Winwebsec (4400), Zbot (2100), Zeroaccess (690). All of malware files are collected from https://virusshare.com/ and malicia-project.com. Benign excutable files are taken from installed folders of applications of legitimate software from different categories. They can be downloaded in https://download.cnet.com/windows/. All of files are verified by VirusTotal (https://www.virustotal.com) to make sure each file belong to their type. <br><b>Note:</b> This dataset includes malware so it can harm your computer.<br>
DOI: 10.17608/k6.auckland.5673373.v1
title: INFORMAS Protocol: Public Sector Module - Annex 12: Prioritization sheet for the Expert Panel

description: Annex 12 INFORMAS Public Sector Module Protocol
DOI: 10.17632/4pc2zfc38d
title: Database: Measurement of Online and Offline Personal Social Capital: Development and Validation of a Brief Scale

description: Three studies were carried out to 
1) adapt the Personal Social Capital Scale  to the Italian context
2) develop the Personal On-Offline Social Capital Brief Scale, a brief scale for measuring online and offline bonding and bridging SC. 
3) investigate convergent/divergent validity in relation to scales measuring constructs with different patterns of relationships with bonding and bridging SC (i.e., social support and stress; sense of community and health) 

Overall, the Personal On-Offline Social Capital Brief Scale was demonstrated to be a reliable and valid measure of online and offline bonding and bridging SC and to discriminate them from similar constructs. This scale is a useful instrument for planning public health interventions.
DOI: 10.17632/pmwfhndv72
title: Organization Inquiry in the Latin American Context: A bibliometric Mapping of the field

description: Bibliographic Database from Organization Inquiry in the Latin American Context: A bibliometric Mapping of the field
DOI: 10.6084/m9.figshare.4829533.v2
title: Morphological and nutritional characteristics of fruits dispersed by birds.

description: Description of some fruit characteristics including fruit size, seed size, fruit energetic content and proportion of lipids, proteins and carbohydrates in the pulpDatabase used in the article:Sebastián-González, E. Drivers of species role in avian seed-dispersal mutualistic networks. Journal of Animal Ecology (Accepted for publication).
DOI: 10.6084/m9.figshare.4702711.v1
title: Cross-CZO 16S rRNA 515f/806r reads

description: These are the mapping file, raw forward and reverse reads generated from 16S sequencing (515f/806r) of ~180 soils collected across the US within different critical zone observatories (CZOs). This study was designed to investigate changes in bacterial communities with soil depth across a wide range of geographic zones.
DOI: 10.6084/m9.figshare.947742.v1
title: Journal Recommendations Ranking and Evaluation

description: contains the ranking and the evaluation for two weighting formulas W4 and W5 (see Weighting Formulas.xls) - Ranking.xls -&gt; Absolut value and numerical score for each ingredient of the ranking algorithm - Evaluation_Ranking.xls -&gt; Contains average precision for each stakeholder - Ranking_Evaluation_AVP -&gt; Contains the average precision grouped by each stake holder (the same data is also includedn in Evaluation_Ranking, yet for easier access it was also put in this file.
DOI: 10.17632/chs2cjk63y
title: Data for: Significantly improved dielectric response and enhanced non−Ohmic properties of the (Na+, Sr2+, Y3+)Cu3Ti4O12 ceramic system

description: Raw data of this work for all figures represented.
DOI: 10.17632/swbxvhc44c
title: Bengali Voice Commerce Audio Dataset for Automatic Speech Recognition

description: This meticulously curated dataset presents a comprehensive collection of Bengali speech recordings meticulously compiled for the advancement of voice-enabled commerce applications. Consisting of 3344 high-quality audio samples, this dataset encapsulates diverse voice recordings articulating product names and quantities commonly encountered in retail and e-commerce settings. Each recording, encompassing a spectrum of environmental conditions ranging from bustling locales to controlled studio settings, offers a rich repository for developing and enhancing Automatic Speech Recognition (ASR) systems. Alongside the audio files, meticulously annotated Bengali and English transcripts stored in a CSV format accompany each recording, ensuring comprehensive linguistic documentation. Featuring contributions from 80 native Bengali speakers, including a balanced representation of 45 male and 35 female speakers, this dataset facilitates robust research in Bengali ASR, fostering innovation in voice commerce technology and inclusive digital interactions. Researchers and practitioners in machine learning, natural language processing, and human-computer interaction can leverage this dataset to propel advancements in voice-driven applications and accessibility initiatives.
DOI: 10.6084/m9.figshare.12058230.v4
title: Family history of cardiovascular disease and risk of premature coronary heart disease: A matched case-control study

description: <b>Background</b> Self-reported family history of cardiovascular disease (CVD) is an independent risk factor for future coronary heart disease (CHD) events. However, inclusion of family history of CVD in the traditional risk scores failed to improve risk prediction of CHD. It is proposed that family history of CVD may substantially increase the risk of CHD among younger individuals. <b></b> <b>Methodology</b> We conducted a matched case-control study with 170 hospital-based premature CHD patients (&lt;55 years in men and &lt;65 years in women) from a tertiary care centre in Thiruvananthapuram, Kerala and age and sex matched community-based controls in 1:1 ratio. Conditional logistic regression analysis was conducted to assess the independent association of family history of cardiovascular disease (CVD) and premature CHD. We estimated McNemar's odds ratios and their 95 percent confidence intervals. <b>Result</b> The prevalence of any family history of CVD and CHD in the control population was 24% and 21%, respectively. The family history of CVD was independently associated with premature CHD (OR = 9.0; 95%CI 4.7 – 17.3). There was a dose response relationship between family history and premature CHD as the risk increased linearly with increase in number of affected family members. <b>Conclusion</b> Family history of CVD is an independent risk factor for premature CHD. The risk of premature CHD increases linearly with increase in number of affected family members. Collecting family history beyond parental history of CVD is important for risk stratification. Targeting young individuals with family history of CVD for intensive risk reduction interventions may help to prevent future events.
DOI: 10.6084/m9.figshare.13232501.v1
title: Amazon Review Polarity

description: <b>Amazon Review Polaridy Dataset</b><br>Version 3, Updated 09/09/2015<br>ORIGIN<br>The Amazon reviews dataset consists of reviews from amazon. The data span a period of 18 years, including ~35 million reviews up to March 2013. Reviews include product and user information, ratings, and a plaintext review. For more information, please refer to the following paper: J. McAuley and J. Leskovec. Hidden factors and hidden topics: understanding rating dimensions with review text. RecSys, 2013.<br>The Amazon reviews polarity dataset is constructed by Xiang Zhang (xiang.zhang@nyu.edu) from the above dataset. It is used as a text classification benchmark in the following paper: Xiang Zhang, Junbo Zhao, Yann LeCun. Character-level Convolutional Networks for Text Classification. Advances in Neural Information Processing Systems 28 (NIPS 2015).<br><br>DESCRIPTION<br>The Amazon reviews polarity dataset is constructed by taking review score 1 and 2 as negative, and 4 and 5 as positive. Samples of score 3 is ignored. In the dataset, class 1 is the negative and class 2 is the positive. Each class has 1,800,000 training samples and 200,000 testing samples.<br>The files train.csv and test.csv contain all the training samples as comma-sparated values. There are 3 columns in them, corresponding to class index (1 or 2), review title and review text. The review title and text are escaped using double quotes ("), and any internal double quote is escaped by 2 double quotes (""). New lines are escaped by a backslash followed with an "n" character, that is "\n".<br>
DOI: 10.6084/m9.figshare.14428682.v4
title: Fig. 5a

description: Lung adenocarcinoma H1703 cells were engrafted s.c. in nude mice. 9 days later, tumor-bearing mice were randomized to three groups and treated once with 0.3 mg/kg MICAB1 PDB2G-ADCs, IC-PBD2G or vehicle. Tumor volumes per mouse over time are shown (<i>n</i>=9 per group).
DOI: 10.6084/m9.figshare.22247176.v1
title: Integrated_normalized_counts

description: Normalized counts extracted from the integrated assay of the final NSCLC dataset.
DOI: 10.6084/m9.figshare.28395878.v2
title: Dateset-"Reservoir-assisted quantum battery charging at finite temperatures"

description: This folder contains the numerical simulation results data obtained using MATLAB tools.Each file corresponds to a set of data points for a curve depicted in the relevant figure of the article "Reservoir-assisted quantum battery charging at finite temperatures". The corresponding figures are:01_fig4T0.csv; 01_fig4T1.csv; 01_fig4T10.csv; 01_fig4T50.csv -&gt; Fig. 4)02_fig7T0.csv; 02_fig7T1.csv; 02_fig7T10.csv; 02_fig4T50.csv -&gt; Fig. 7)03_fig8R_T.csv -&gt; Fig. 8)04_fig11T0.csv; 04_fig11T05.csv; 04_fig11T1.csv; 04_fig11T10.csv -&gt; Fig. 11)05_fig12T0.csv; 05_fig12T05.csv; 05_fig12T1.csv; 05_fig12T10.csv -&gt; Fig. 12)06_fig13R_T.csv -&gt; Fig. 13)07a-fig17(a)_3T0_chuneng.csv; 07a-fig17(a)_3T0_tiqu.csv; 07a-fig17(a)_3T10_chuneng.csv; 07a-fig17(a)_3T10_tiqu.csv -&gt; Fig. 17a)07b-fig17(b)_3T0_chuneng.csv; 07b-fig17(b)_3T0_tiqu.csv; 07b-fig17(b)_3T10_chuneng.csv; 07b-fig17(b)_3T10_tiqu.csv -&gt; Fig. 17b)07c-fig17(c)_3T0_chuneng.csv; 07c-fig17(c)_3T0_tiqu.csv; 07c-fig17(c)_3T10_chuneng.csv; 07c-fig17(c)_3T10_tiqu.csv -&gt; Fig. 17c)07d-fig17(d)_3T0_chuneng.csv; 07d-fig17(d)_3T0_tiqu.csv; 07d-fig17(d)_3T10_chuneng.csv; 07d-fig17(d)_3T10_tiqu.csv -&gt; Fig. 17d)<br>08a-fig21(a)_3T0_chuneng.csv; 08a-fig21(a)_3T0_tiqu.csv; 08a-fig21(a)_3T10_chuneng.csv; 08a-fig21(a)_3T10_tiqu.csv -&gt; Fig. 21a)08b-fig21(b)_3T0_chuneng.csv; 08b-fig21(b)_3T0_tiqu.csv; 08b-fig21(b)_3T10_chuneng.csv; 08b-fig21(b)_3T10_tiqu.csv -&gt; Fig. 21b)08c-fig21(c)_3T0_chuneng.csv; 08c-fig21(c)_3T0_tiqu.csv; 08c-fig21(c)_3T10_chuneng.csv; 08c-fig21(c)_3T10_tiqu.csv -&gt; Fig. 21c)08d-fig21(d)_3T0_chuneng.csv; 08d-fig21(d)_3T0_tiqu.csv; 08d-fig21(d)_3T10_chuneng.csv; 08d-fig21(d)_3T10_tiqu.csv -&gt; Fig.21d)09-fig22_chunengR.csv; 09-fig22_tiquR.csv; 09-fig22_chunengB.csv; 09-fig22_tiquB.csv -&gt; Fig.22)
DOI: 10.6084/m9.figshare.13908032.v1
title: Fig 4: Impact of prolonged sleep/wake on mEPSC frequency

description: MEPSC frequency is not consistently modulated by sleep/wake history across brain regions. (A) Data from visual cortex L2/3. Left plot, cell average mEPSC frequencies for the indicated conditions; error bars = 95% CI of mean (p=0.75, Kruskal Wallace). Right plot, cumulative plot of inter event interval (SD - L. WD p=0.35, SD - D. WD p=0.15, L. WD - D. WD p&gt;0.9; KS test with Bonferroni correction). Sleep dense n = 17 cells, 3 animals; L. wake dense n = 25 cells, 4 animals; D. wake dense n = 18 cells, 5 animals. (B) Same as in (A) but data from visual cortex L4; cell average on left (p&gt;0.9, Kruskal Wallace); cumulative plot on right (p=0.45, KS test). Sleep dense n = 47 cells, 6 animals; L. wake dense n = 32 cells, 4 animals. (C) Same as in (A) but data from prefrontal cortex L2/3. Left, cell average values for the indicated conditions (p=0.056, Kruskal Wallace). Cumulative plot of inter-event interval (SD - L. WD p&lt;1e-6, SD - D. WD p=0.74, L. WD - D. WD p=0.007; KS test with Bonferroni correction). Sleep dense n = 31 cells, 6 animals; L. wake dense n = 28 cells, 5 animals; D. wake dense n = 18 cells, 6 animals.
DOI: 10.6084/m9.figshare.21393969.v1
title: The genome data of Gadus macrocephalus

description: Based on PacBio HiFi long-read sequencing and Hi-C (High-throughput chromosome conformation capture) technology, we constructed a nearly complete genome of <em>Gadus macrocephalus</em>, Pacific cod, including 23 chromosomes. A total of 23,843 protein-coding genes were obtained by gene prediction.
DOI: 10.6084/m9.figshare.23810817.v2
title: Papio Y-STRs Y chromosome data

description: In this repo you will find three samples mapped to the Y chromosome (NC_044997.1) of Panubis1.0 reference: 2 P. papio samples, T14 and 70K, and 1 P. ursinus sample. The short reads were mapped and filtered according to Materials and Methods in Mutti et al, 2023. The files are in BAM format.
DOI: 10.6084/m9.figshare.27931485.v1
title: WebVisualData.zip

description: This file contains screenshots of 300 websites.
DOI: 10.6084/m9.figshare.3846951.v1
title: 2016 Species Inventory for Yukon Marine Life Survey

description: This is a list of genera and species verified via hi definition photography on the artificial reef Yukon in San Diego.
DOI: 10.17632/pf65d6r7v6
title: Three sets of experimental data to evaluate taxonomy performance

description: These are the three sets of experimental data used in the paper named "Method Construction and Evaluation: A More Comprehensive and Reliable taxonomy of Causes of Coal Mine Gas Explosion".

"Experiment 1 Analysis results of group A.xls" and "Experiment 1 Analysis results of group B.xls" are the analysis results of the two groups of analysts in Experiment 1, which are used to calculate the consistency of the accident analysis results.

"Accident Case Paragraph Code Table.xlsx" is the coding table of the original paragraph of the accident investigation report used in the second experiment.

"Experiment 2_Results of the expert group and group B analysts.xlsx" contains the accident cause coding table used in Experiment 2 and the classification results of the expert group and group B analysts after coding with the coding table. This set of data is used to calculate parameters such as F1 score to assess the criterion validity of the taxonomy.

"Experiment 3_Results of secondary classification of analysis results of group A by applying taxonomy.xlsx" is the data of Experiment 3, including the accident analysis results of Group A analysts in Experiment 1 and the results of secondary classification by applying the taxonomy. This set of data is used to calculate causation coverage to assess the content validity of the taxonomy.
DOI: 10.17632/xxm6hnpvgj
title: Normality values for Hand behind back test in normal adults with respect to gender and age

description: The Hand Behind Back Test (HBBT) is used for a variety of purposes, including assessing shoulder function, and determining the degree of illness. The Hand Behind Back test is a functional test to assess the patient’s ability to reach the back. 50 healthy participants consisting of (32 males and 18 females) were recruited for this study. The demographic features and anthropometric details were measured before the test. The test is explained to the participants the Hand-behind-back measured as the space from the median line of the posterior superior iliac spine (PSIS) to the top of the thumb and recorded in centimeters. The normality values of the hand behind back of the right arm are (15-36 cm) and for the left arm are (16-36 cm) are represented for both male and female participants. The negative correlation with the hand behind back test with respect to age and BMI. 

Keywords: Hand Behind Back Test, hand behind back.
DOI: 10.6084/m9.figshare.12986981.v1
title: Tonsil_Clustering16_K46

description: Segmented single cell data from 7x9 tile CODEX imaging of human tonsil at 20x over all channels and cycles.
DOI: 10.6084/m9.figshare.13070666.v1
title: Data for Manuscript "Deep learning-based predictive identification of neural stem cell differentiation"

description: This is the raw cell image data for manuscript "Deep learning-based predictive identification of neural stem cell differentiation".
DOI: 10.6084/m9.figshare.24180582.v2
title: Land use change alters soil organic carbon: Constrained global patterns and predictors

description: Contains global datasets used for assessing the impact of different land use scenarios on soil organic carbon stocks
DOI: 10.6084/m9.figshare.6457931.v1
title: Tensile data.xls

description: COLUMN A – Animal number (1 or 2) COLUMN B – Tendon type: common digital extensor (e) or superficial digital flexor (f) COLUMN C – Fibril number COLUMN D – Length in micrometers of prepared fibril segment before pull-to-rupture COLUMN E – Dried fibril segment cross-sectional area in micrometers squared COLUMN F – Cantilever number COLUMN G – Rupture strain in percent COLUMN H – Rupture stress in Mega Pascal with respect to the dry cross-sectional area of the fibril COLUMN I – Toughness in Mega Joules per meter cube obtained by integrating the stress-stain curve (File 3) COLUMN J – High strain modulus in Mega Pascal obtained by linear least-square fit of the last 10% of the stress-strain curve (File 3) COLUMN K – Error on the high strain modulus in Mega Pascal obtained by linear least-square fit of the last 10% of the stress-strain curve (File 3)
DOI: 10.17632/8s73by3jr6
title: KAWAII

description: The article "Kawaii: analyzing cuteness in Japanese media, culture and society
DOI: 10.17632/njc43t58gt
title: Map of Tioman Island showing the location of 22 sampling sites in KML format

description: Map of Tioman Island showing the location of 22 sampling sites in KML format
DOI: 10.17632/wnvfjtz952
title: Racial Disparities in the Paycheck Protection Program

description: Data and code to replicate the analysis of PPP take-up by Florida restaurants in "Racial Disparities in the Paycheck Protection". 
See the README file for more details.
DOI: 10.6084/m9.figshare.19077128.v1
title: Supplementary Material for: Circ_0039569 Competes with MARCKS for miR-133b Binding Sites to Promote the Progression of Renal Cell Carcinoma

description: <b><i>Background:</i></b> The dysregulation of circular RNAs (circRNAs) has been shown to be correlated with the aggressiveness of renal cell carcinoma (RCC). Hence, this study investigated the role and mechanism of circ_0039569 in RCC progression. <b><i>Methods:</i></b> The levels of circ_0039569, miR-133b, and MARCKS (myristoylated alanine-rich protein kinase C substrate) were detected using quantitative real-time polymerase chain reaction and Western blot. In vitro experiments were conducted by using 5-ethynyl-2′-deoxyuridine assay, colony-formation assay, Transwell assay, flow cytometry, and Western blot. The direct interactions between miR-133b and circ_0039569 or MARCKS were verified by using dual-luciferase reporter and pull-down assays. Xenograft mice models were established to conduct in vivo analysis. <b><i>Results:</i></b> Circ_0039569 was highly expressed in RCC tissues and cells. Functionally, silencing of circ_0039569 suppressed cell proliferation, migration, and invasion, but induced cell apoptosis in RCC cells in vitro. Moreover, mice subcutaneous xenograft assay suggested that circ_0039569 knockdown impeded tumor growth in vivo. Mechanistically, circ_0039569 acted as a sponge for miR-133b to regulate the expression of its target MARCKS. Importantly, miR-133b inhibition or MARCKS knockdown attenuated the anticancer effects of circ_0039569 knockdown on RCC growth. <b><i>Conclusion:</i></b> Diminished circ_0039569 restrains the growth and propagation of RCC cells via miR-133b/MARCKS axis, indicating an underlying effective therapeutic target for RCC patients.
DOI: 10.6084/m9.figshare.27964410.v2
title: Derville et al. 2024: Krill <i>Thysanoessa spinifera</i> scaled-NASC predicted layers

description: Predicted species-scaled NASCtemporal scale: 2016-01-24 to 2024-06-23, weekly resolutionspatial scale: 129°W to 122.3°W, 37.5°N to 48.4°N, 5 km resolutionprojection: UTM 10N, EPSG code 32610Files are named after the abbreviated name of the krill species and the date of the prediction in format %Y-%m-%d. Predictions are made based on the environmental conditions experienced over 7 days prior to the target date indicated in the file name.For more details, see: Derville, S., Fisher, J.L., Kaplan, R.L., Bernard, K.S., Phillips, E.M., Torres, L.G. (2024) A predictive krill distribution model for <i>Euphausia pacifica</i> and <i>Thysanoessa spinifera</i> using scaled acoustic backscatter in the Northern California Current. Progress in Oceanography.When using these data, please reference the above the study.<br>