cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ftbcfy2p35
title: Mi3-GPU: MCMC-based inverse Ising inference on GPUs for protein covariation analysis

description: Inverse Ising inference is a method for inferring the coupling parameters of a Potts/Ising model based on observed site-covariation, which has found important applications in protein physics for detecting interactions between residues in protein families. We introduce Mi3-GPU (“mee-three”, for MCMC Inverse Ising Inference) software for solving the inverse Ising problem for protein-sequence datasets with few analytic approximations, by parallel Markov-Chain Monte Carlo sampling on GPUs. We also provide tools for analysis and preparation of protein-family Multiple Sequence Alignments (MSAs) to account for finite-sampling issues, which are a major source of error or bias in inverse Ising inference. Our method is “generative” in the sense that the inferred model can be used to generate synthetic MSAs whose mutational statistics (marginals) can be verified to match the dataset MSA statistics up to the limits imposed by the effects of finite sampling. Our GPU implementation enables the construction of models which reproduce the covariation patterns of the observed MSA with a precision that is not possible with more approximate methods. The main components of our method are a GPU-optimized algorithm to greatly accelerate MCMC sampling, combined with a multi-step Quasi-Newton parameter-update scheme using a “Zwanzig reweighting” technique. We demonstrate the ability of this software to produce generative models on typical protein family datasets for sequence lengths L ~ 300 with 21 residue types with tens of millions of inferred parameters in short running times.
DOI: 10.17632/n22b8dtb39
title: Effect of Achilles tendon taping on gait parameters in people with high BMI

description: The cadence, step length, and stride length of high BMI adults decreases, and effect of taping as an alternative may improves these gait parameters. Sample are chosen according to inclusion and exclusion criteria, and  permission is  taken from all sample. Every subject will conduct a 10 m walk test using the Gait Analyzer app to determine gait parameters. The Achilles tendon taping is done.  Gait parameters is measured before and after taping.
DOI: 10.17632/sk279ktjv3
title: Intracerebral Electric Field Magnitudes during tACS in Human In-Vivo

description: This dataset is used in our study entitled : "In-vivo Evidence of Electric Fields in Human Deep Cortical Structures During Transcranial Electrical Stimulation".
Our main purpose was to measure the electric field in several deep brain structures during TES in humans in-vivo. In addition, we investigated the effects of TES frequencies, intensities, and montages on the intracerebral EF.
Simultaneous bipolar transcranial alternating current stimulation and intracerebral recordings (SEEG) were performed in 8 drug-resistant epileptic patients. TES was applied using small high-definition (HD) electrodes. 
Patients gave their informed consent prior to participation (NCT03644732).
Seven different tACS frequencies were tested on 1 patient (patient #0), two low intensities were applied to 6 patients (0.5 and 1mA) and 15 different montages were tested on 1 patient (Patient #7).
At 1mA intensity, we found mean EF magnitudes of 0.21, 0.17 and 0.07 V.m-1 in the amygdala, hippocampus, and cingulate gyrus, respectively. 
An average of 0.14 ± 0.07 V.m-1 was measured in these deep brain areas. 
A mean global EF difference of 5% was measured in function of the frequency. 
The EF was correlated with the TES intensities. 
The TES montages that yielded the maximum EF in the amygdalae were T7-T8 and in the cingulate gyri were C3-FT10 and T7-C4.
A substantial EF in deep brain structures is achievable using low intensities and small HD electrodes whatever the frequency used. EF magnitude is correlated to the stimulation intensity and dependent upon the stimulation montage.

This dataset contains 8 individual anonymized MRI (nifti format) and 34 files (xls format) with (i) intracerebral electrical field (EF) magnitudes (in V/m) and (ii) 3D SEEG contact coordinates (in SCS space).
DOI: 10.17632/wrfb6rp59z
title: System dynamics and geometric compromise programming: assessing the impact of entrepreneurship wage subsidies on macroeconomic objectives

description: Data processed and generated in the article titled "System dynamics and geometric compromise programming: assessing the impact of entrepreneurship wage subsidies on macroeconomic objectives"
You can access the article via this link: http://doi.org/10.1111/itor.13601
DOI: 10.17632/fkgb98kgbp
title: Data for Phago-mixotrophic activity within nanophytoplankton community in a subtropical marginal sea

description: The following supplementary dataset consists of the CTD data of K section, the physical and biochemical parameters of the culture experimental stations and the related data of mixotrophy about nanoeukaryotes, Mamiellophyceae, and Prymnesiophyceae in the northeast South China Sea..
DOI: 10.6084/m9.figshare.25941703.v4
title: GEPIADB date related

description: As single-cell RNA sequencing (scRNA-seq) research proliferates, efficient analysis on vast datasets has become challenging. To address this issue, we provide GEPIADB by calculating the key statistics of cell type-level expression profiles originated from 850 single cell studies, which enables users to perform basic gene-centric analysis in an almost real-time manner. The full database has also been stored in csv format in this file.
DOI: 10.17632/gjhf5y4xjp
title: AI & Big Data Global Surveillance Index (2022 updated)

description: This index compiles empirical data on AI and big data surveillance use for 179 countries around the world between 2012 and 2022— the bulk of the sources are found between 2017 and 2022. The index does not distinguish between legitimate and illegitimate uses of AI surveillance techniques. Rather, the purpose of the research is to show how new surveillance capabilities are transforming governments’ ability to monitor and track individuals or groups. Last updated March 2022.

This index addresses three primary questions: Which countries have documented AI and big data public surveillance capabilities? What types of AI and big data public surveillance technologies are governments deploying? And which companies are involved in supplying this technology?

The index measures AI and big data public surveillance systems deployed by state authorities, such as safe cities, social media monitoring, or facial recognition cameras. It does not assess the use of surveillance in private spaces (such as privately-owned businesses in malls or hospitals), nor does it evaluate private uses of this technology (e.g., facial recognition integrated in personal devices). It also does not include AI and big data surveillance used in Automated Border Control systems that are commonly found in airport entry/exit terminals. Finally, the index includes a list of frequently mentioned companies – by country – which source material indicates provide AI and big data surveillance tools and services. 

All reference source material used to build the index has been compiled into an open Zotero library,  available at https://www.zotero.org/groups/2347403/global_ai_surveillance/items. The index includes detailed information for 97 countries where open source analysis indicates that governments have acquired AI and big data public surveillance capabilities.  The index breaks down AI and big data public surveillance tools into the following categories: smart city/safe city, public facial recognition systems, smart policing, and social media surveillance.  

The findings indicate that at least ninety-seven out of 179 countries are actively using AI and big data technology for public surveillance purposes:

•	Smart city/safe city platforms: 64 countries
•	Public facial recognition systems: 78 countries
•	Smart policing: 69 countries
•	Social media surveillance: 38 countries
DOI: 10.6084/m9.figshare.6363605.v1
title: ROM Data

description: Range of motion testing on our athletes.<br>
DOI: 10.17632/n92vwbg8zt
title: vbICA code

description: The independent component analysis (ICA) is a popular technique adopted to approach the so-called blind source separation (BSS) problem, i.e., the problem of recovering and separating the original sources that generate the observed data. However, the independence condition is not easy to impose, and it is often necessary to introduce some approximations. Here we provide a MATLAB code which implement a modified variational Bayesian ICA (vbICA) method for the analysis GNSS time series. The vbICA method models the probability density function (pdf) of each source signal using a mix of Gaussian distributions, allowing for more flexibility in the description of the pdf of the sources with respect to standard ICA, and giving a more reliable estimate of them. In particular, this method allows to recover the multiple sources of ground deformation even in the presence of missing data. This material is based on the original work of Choudrey (2002) and Choudrey and Roberts (2003), subsequently adapted by Gualandi et al. (2016) and Serpelloni et al. (2018) for the study of GNSS position time series.
DOI: 10.6084/m9.figshare.16945276.v4
title: IMD Radar Network

description: To enhance forecasting and address the risks posed by extreme weather events, the doppler weather radar network of the Indian Meteorological Department has made enormous strides in recent decades. In this work, we would like to share the geo-coordinate data—specifically, the latitude and longitude information—that has been gathered from various sources of all the doppler weather radars operating in the country.
DOI: 10.17632/7hp3gg9yz8
title: Dataset to: Understanding acoustic indices as multi-taxa biodiversity and habitat quality indicators Abstract

description: Acoustic monitoring captures the sound of nature, revealing biodiversity patterns and underlying drivers. Reflecting spectral, temporal, and amplitude variation, acoustic indices are increasingly used to analyse obtained recordings. Recent studies, however, show inconsistent performance of acoustic indices as biodiversity indicators. We develop a conceptual framework on what acoustic indices reflect, including sound sources as well as their direct and indirect drivers. We test our framework using recordings from six land-use types and old growth forest sites in north-eastern Madagascar.
DOI: 10.17632/w8823s64p3
title: Data for spatial and seasonal variations of stable isotope ratios of particulate organic carbon and nitrogen in the surface water of the Kuroshio

description: Dataset of sampling date, location, depth, δ13C, δ15N, filtration volume of seawater, temperature, salinity, nitrate concentration, chlorophyll-a concentration, latitude of Kuroshio axis, area (coastal or offshore), and seasons. This dataset were used in our preprint (https://www.essoar.org/doi/abs/10.1002/essoar.10504272.1).
DOI: 10.6084/m9.figshare.25893082.v1
title: BD-Artículos - RSL.xlsx

description: Se analiza cómo las aplicaciones móviles mejoran la experiencia de los turistas. Se realizó una exploración en diversas bases de datos reconocidas en el ámbito académico y científico: scopus, IEEE Xplore y ScienceDirect. Estas bases de datos fueron recursos fundamentales para la investigación, debido a su amplio alcance disciplinario que permite a los investigadores acceder a la información relevante en distintas áreas. Se realizo una filtración de los artículos y posteriormente de ordenaron en un Excel con los datos correspondientes: título original, título traducido, lenguaje original, abstract, resumen, año de la publicación, base de datos (IEEE Xplore, ACM, ScienceDirect, Springer, WOS, Scopus), revista, país de la revista (scimago), URL revista, URL documento, acceso abierto(si - no), Q (Scimago), país donde se desarrollo la investigación, autores, tipo de investigación, objetivos, participantes (población o sujetos de investigación), indicadores, instrumentos, metodología de desarrollo de software, tipo de software (móvil, web, escritorio, videojuego, etc), software y características.
DOI: 10.17632/gr2x3b9kvd
title: Supporting Information for [Origin of the intra-oceanic Silverwood Block (New England Orogen, Australia): evidence from radiolarian biostratigraphy and detrital zircon petrochronology]

description: ICP-MS outputs from all analyses, isotopic ratios, calculated U-Pb ages, common Pb correction, and trace element contents.
DOI: 10.17632/h4hhcf56t3
title: The Relation of Activity Patterns with Incident Slow Gait Speed over 4 Years in Adults with Knee Osteoarthritis: Data from the Osteoarthritis Initiative

description: The purpose of this study was to explore patterns of baseline physical activity using Multilevel Functional Principal Components Analysis (MFPCA) and examine the relation of these patterns with incident slow gait speed over 4 years in adults with or at high risk of knee OA utilizing data from the accelerometer sub-study of the Osteoarthritis Initiative (OAI). 
For the purpose of the study, Multilevel Functional Principal Components Analysis was done. As a result of the analysis, it was determined that there were 4 activity patterns (PCs), 1) high activity, 2) high evening activity, 3) high morning and evening activity, and 4) very high morning activity. 
Those whose daily activity patterns best matched with the pattern PC2 or PC4, were found to have 0.60 and 0.39 times the risk of developing slow gait speed, respectively; while those whose daily activity patterns least matched PC3, were found to have 1.77 times the risk.
Our study results suggest that daily activity patterns may be associated with the development of slow gait speed in adults with or at risk for knee OA.
DOI: 10.6084/m9.figshare.24040563.v5
title: <b>BigDataAD Benchmark Dataset</b>

description: The largest real-world dataset for multivariate time series anomaly detection (MTSAD) from the Hologres AIOps system in the Alibaba Cloud platform.All the metrics and labels in our dataset are derived from real-world scenarios. All metrics were obtained from the Hologres instance monitoring system and cover a rich variety of metric types, including <b>CPU usage, queries per second (QPS) and latency</b>, which are related to many important modules within Hologres. We obtain labels from the ticket system, which integrates three main sources of instance anomalies: user service requests, instance unavailability and fault simulations . User service requests refer to tickets that are submitted directly by users, whereas instance unavailability is typically detected through existing monitoring tools or discovered by Site Reliability Engineers (SREs). Since the system is usually very stable, we augment the anomaly samples by conducting fault simulations. Fault simulation refers to a special type of anomaly, planned beforehand, which is introduced to the system to test its performance under extreme conditions. All records in the ticket system are subject to follow-up processing by engineers, who meticulously mark the start and end times of each ticket. This rigorous approach ensures the accuracy of the labels in our dataset.
DOI: 10.6084/m9.figshare.12848981.v1
title: The skull of <i>Carnotaurus sastrei</i> Bonaparte 1985 revisited: insights from craniofacial bones, palate and lower jaw

description: <b>Carnotaurus sastrei:</b> is perhaps the most iconic representative of the Abelisauridae family. It is known by a fairly complete specimen, recovered from Upper Cretaceous beds of southern Argentina. Here we present a re-study of the skull of <i>Carnotaurus</i> including detailed osteological descriptions, CT scans analyses and comparisons with abelisaurid taxa. Novel information concerning bones that remained undescribed (i.e., palate) is also offered. The present study allowed the recognition of several features, including some new potential autapomorphies diagnostic of <i>Carnotaurus</i>, such as nasolacrimal conduct with an accessory canal, ventral excavation on the quadrate and lateral fossa of the pterygoid. We identify some additional features of <i>Carnotaurus</i> shared with other abelisauroids, including: dorsal row of nasal foramina, lateral fossa on the squamosal, lanceolate vomeropterygoid process of palatine, apneumatic ectopterygoid and narrow and pointed angular process of surangular. CT scans revealed pneumatic recesses in the lacrimal which are similar to those present in other theropods. Furthermore, a striking feature is the presence of a small pneumatic recess on each frontal horn. <i>Carnotaurus</i> provides one of the most complete skulls within Abelisauridae, which allows recognising several traits of potential phylogenetic value and raises new questions regarding variability of cranial pneumaticity among ceratosaurs.
DOI: 10.17632/gv5wpbryn2
title: Data and code for the article "Per capita reproductive success decreases with group size in a communally breeding bird"

description: Data and code necessary to replicate the analyses done for the article "Per capita reproductive success decreases with group size in a communally breeding bird". Including supplemental material.
DOI: 10.6084/m9.figshare.21777275.v2
title: S2_Measuring Facial Mimicry Automated Facial Coding vs. EMG_EMG Data

description: EMG data
DOI: 10.17632/8nzpnwkncp
title: Net Bloch, Leaf Scald and Healthy Malting Barley Leaves

description: Net Bloch infected, Leaf Scald infected and Healthy Malting Barley Leaves dataset it collection of 3012 Malting Barley leaves that are healthy, net blotch infected and leaf scald infected leaves. The dataset is collected starting from August 2021 to December 2021. It is collected from Debre Berhan University Malting Barley farm. The two classes of diseases that are gathered in this dataset are the most fatal malting barley diseases causing a drastic loss in both quality and yield of the crop. The dataset is gathered by using smart phone camera and digital camera as per the conditional requirement while collection. To minimize the time to segment unwanted features out of the image, white paper is used as a background while taking the pictures. 
Using this dataset CNN based Malting Barley Disease detection is studies with an aim of increasing the performances of CNN models for detecting potential Malting Barley diseases. CNN pretrained models for mobile platforms such as EfficientNetB0, MobileNetV2 and NASNetMobile have been experimented to have an outperforming CNN model . Based on the experiment work EfficientNetB0 has scored a 96% accuracy which is 2 percent increase than the state-of-the -art CNN pretrained model for mobile platforms. 
In the research work the dataset is portioned in to two classes namely: training and testing dataset. the ratio of partitioning is 90% to 10% respectively. Then K-fold cross validation is used for building sampling independent robust model. Data augmentation technique is used to increase the number of training image dataset. After augmentation, the training image dataset transformed from 2,711 to 13,555. The augmentation technique comprises different arguments such as rotation range, zoom range and width shift. 
In order to use this dataset you should first understand the problem that you are longing to solve. If it is related with plant disease detection especially Malting Barley, congrats you have a very reliable dataset for your model input. The data can be used after some preprocessing activities based on the researcher's interest.
Thank you very much.
DOI: 10.6084/m9.figshare.3526160.v1
title: Appendix A. Summary assessments of productivity–plant species richness relationships included in Mittelbach et al. (2001).

description: Summary assessments of productivity–plant species richness relationships included in Mittelbach et al. (2001).
DOI: 10.17632/dfm3wk2vpf
title: Maintaining Blood Pressure Would be Effective Treatment against Dementia in Elderly

description: Hypertension is a significant public health apprehension. The commonness keeps rising, and it is a risk issue for a number of unfavorable health outcomes counting a refuse in cognitive utility. The commonness of hypertension and age-related dementia is increasing in Asian countries, within the aged grouping. This review aims to talk about potential treatments for high blood pressure in the aged and suggest a most favorable objective for BP relation to cognitive results. Our review discusses a number of studies on associated blood pressure treatments to stay contentious and the penalty if the action aim is also low or violent. Longitudinal and cross-sectional, studies were incorporated in this appraisal. A most favorable systolic blood pressure of 120-130 mm Hg is not compulsory, particularly in no diabetic hypertensive patients with significant risk factors. The renin-angiotensin scheme (RAS) is extremely occupied in not only hypertension other than also lifestyle-related diseases, and might contribute to the pathological mechanism in dementia; consequently, RAS instruction is anticipated to stop dementia.
DOI: 10.17632/r3zhfg9gwv
title: Data on the survival times of breast cancer patients in a Teaching Hospital, Osogbo

description: The data has 8 variables 1 Time: This measures the survival times of the patients.The survival time is the difference between the date of report for treatment at the hospital for treatment andd the date of last contact. The time is measured in Days 2: Age of Patients: This gives the age of the patients in years 3: Censor: This is the censor values. It is 1 when uncensored and 0 when censored 4: Age at Menarche: This measures the age at which the patients forst had A menstrual flow.Measured in years 5:Breastfeeding: This measures the average years that the patient used to breastfeed 6: Contraceptive: Has the patient used contraceptive before? 1-Yes, 2-No 7: Detection: We categorized this into two; Stage I/ Stage II (Early Detection) , Stage III/Stage IV(Late Detection) 8: Neoadjuvant: Was Neoadjuvant administered? 1-Yes, 2-No
DOI: 10.17632/rcbd675rt6
title: Vehicle Routing with Occasional Drivers and Order Bundles (VRP-OD-OB)

description: Data Sets for the Vehicle Routing with Occasional Drivers and Order Bundles (VRP-OD-OB)
DOI: 10.6084/m9.figshare.27569559.v1
title: Supplemental Data Table 1 Placenta RNAseq DEG.xlsx

description: We performed parallel neonatal lung and placental analyses in a pre-clinical model to characterize the impact of antenatal betamethasone in experimental chorioamnionitis. Antenatal steroids improved long-term respiratory outcomes and were associated with concurrent structural and molecular changes in the placenta. This study establishes an important model system for future analyses to evaluate mechanistic links determining whether the long term impact of antenatal steroids on lung development may be through through alteration of placental function. This table contains differentially expressed genes from placental tissues comparing pregnant dams treated with endotoxin vs endotoxin + betamethasone..