cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5117446.v3
title: Tilia platyphyllos chorology

description: Distribution map of large-leaved lime (<i>Tilia platyphyllos</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). <br>Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.17632/7m3322f4yv
title: Unemployment in Russia during COVID-19: Teleworkability and Face-to-Face context

description: The aggregate data, scripts, and Supplementary Tables are an additional material to the paper Kotyrlo E. "The Impact of Anti-COVID-19 Restrictions and Transitory Unemployment Insurance Policies on Unemployment in Russia" Journal of Economic Studies, 2023, doi: 10.1108/JES-12-2022-0615.
Aggregate data are composed on the base of 5 mln monthly administrative records, January 2019 – December 2020, on individuals registered as unemployed by the Russian Public Employment Service. Individual data are received through the Research Data Infrastructure (INID) (https://www.data-in.ru/). Aggregate data account for individuals with a period of less than 6 months between application for unemployment and their latest working month. They are aggregated by teleworkability (TW) and face-to-face (F2F) indices as proposed by Dingel and Neiman (2020) and Sostero et al. (2020) into monthly data.  Data report 149 latest professional occupations that are categorized by the TW index and a F2F score.  Data are aggregated by TW index, by 5 categories  (0, 2, 4, 6, 8) of face-to-face intensity and, in addition, by gender and three levels of education (primary, secondary and higher). 
Stata do files provide a code for two-way fixed effects estimates and plots (TWFE.do) of TW (F2F) effects and Wald and change-in-change DID (fuzzy-did.do) effects proposed by de Chaisemartin and D’Haultfoeuille (2020). R script provides a code for doubly robust ATT estimates and plots of TW (F2F) effects as proposed by Callaway and Sant’Anna (2021).

Bibliography
Callaway, B. and Sant’Anna, P.H.C. (2021), “Difference-in-Differences with Multiple Time Periods”, Journal of Econometrics, Vol. 225 No. 2, pp. 200-230, https://doi.org/10.1016/j.jeconom.2020.12.001.
De Chaisemartin, C., and d’Haultfœuille, X. (2020), “Two-way fixed effects estimators with heterogeneous treatment effects”, American Economic Review, Vol. 110 No. 9, pp. 2964-96.
Dingel, J.I. and Neiman, B. (2020), “How Many Jobs Can Be Done at Home?”, Journal of Public Economics, Vol. 189, 104235. doi.org/10.1016/j.jpubeco.2020.104235
Sostero, M., Milasi, S., Hurley, J., Fernandez-Macías, E., and Bisello, M. (2020), “Teleworkability and the COVID-19 crisis: a new digital divide?” No. 2020/05, JRC Working Papers series on Labour, Education and Technology. http://hdl.handle.net/10419/231337.
DOI: 10.6084/m9.figshare.21551379.v1
title: Metabolomic Profile in the Aqueous Humor of Congenital Ectopia Lentis

description: To explore the metabolic profiles in the aqueous humor (AH) of patients with congenital ectopia lentis (CEL). We conducted a comprehensive analysis of the metabolites of AH samples of patients with CEL (<i>n</i> = 22) and age-matched patients (<i>n</i> = 22) with congenital cataract by ultra-high performance liquid chromatography tandem-mass spectrometry. The metabolomic characteristics were visualized by principal component analysis, orthogonal partial least squares discriminant analysis and heat map. The levels of the differential metabolites were also compared between CEL patients with and without FBN1 mutations. Pathway enrichment analysis was performed by using Kyoto Encyclopedia of Genes and Genomes. Receiver operating characteristic analysis was performed to select potential biomarkers. There were 175 differential metabolites identified between the two groups. Eight metabolites were found to be potential biomarkers in AH of CEL patients. The CEL group showed a significant increase in α-ketoglutarate and decrease in citrate, suggesting that the tricarboxylic acid (TCA) cycle was disturbed. l-proline, prolyl-hydroxyproline, and l-histidine were reduced, which prompted enhanced degradation of microfibrils and collagen. Insidious retinal nerve damage was implied because N-Acetyl-aspartylglutamic acid and N-Acetyl-l-aspartic acid were found to be significantly increased. Pathway enrichment analysis indicated that disturbances in amino acid metabolism and carbohydrate metabolism were the key processes in the pathogenesis of CEL and that TCA cycle disorder may be the driving force behind disease occurrence. These data reveal the characteristics in the metabolomic profiles of the AH of CEL patients, which help provide insights into the pathogenesis of this rare disease.
DOI: 10.17632/67bbcr5ssp
title: Dataset for Human Activity Recognition

description: Recognizing actions through visual cues poses a particularly formidable challenge within the domains of computer vision and pattern recognition. A specific practical application of this challenge involves the swift identification of instances of physical altercations, such as fights, captured by surveillance cameras in public spaces and correctional facilities. Nevertheless, the field of action recognition has primarily focused its efforts on relatively straightforward actions, such as clapping, walking, wrestling, and jogging. In contrast, the identification of specific events with immediate practical applications, such as cellphone snatching, common fighting, and running behavior in general, has received comparatively less attention. The ability to detect such events could prove immensely valuable in various video surveillance contexts, including prisons, psychiatric facilities, and violence detection based on human activity. As a result, there is a growing interest in the development of algorithms and gold-standard benchmarks geared toward detecting instances of violence and abnormal behaviors based on human activity recognition problems. To address this limitation, this study presents a substantial benchmark dataset comprising of totaling 6,048 video frames, featuring 2016 cases of cellphone snatching, 2016 cases of fighting, and 2016 cases of running, each showcasing five different forms of human activities. Our proposed dataset will be made publicly available to foster and promote research in human action recognition behaviors, including the development of robbery detection systems, human movement detection systems, safety systems, theft detection systems, and anomaly detection in automatic surveillance cameras.
DOI: 10.17632/sw5ds6c2g9
title: Post-Use Survey Responses from Patients in a Neurorehabilitation VR Study

description: This dataset contains anonymized responses from patients who participated in a study evaluating the acceptability, usability, and perceived benefits of an immersive virtual reality (VR) system for neurorehabilitation. The survey includes demographic information, prior technology use, perceived clarity, comfort, usefulness, and overall satisfaction with the system. The data support research on patient-centered implementation and digital health interventions in neurorehabilitation contexts.
DOI: 10.6084/m9.figshare.28741601.v2
title: Diffusion coefficients, D*, from MSD values, Fig. 6f

description: .csv files ('msd_*.csv') contain all the MSD values.Python script ('generate_Ds.py') converts the MSD values to diffusion coefficients ('whole_D_data.csv').'signs.csv' contains observed directions of generated flows, inward: +1; outward: -1.From 'whote_D_data.csv', another Python script ('integrate_*.csv'), together with 'signs.csv', generates the scatter plot of signed D*, as presented in Fig. 6f.
DOI: 10.6084/m9.figshare.29083463.v1
title: Gridded data of embodied carbon from aluminum

description: 5,538,063 records are weight in urban building ECE of aluminum in two urban agglomerations from 2000 to 2020 at 500×500m grid scale.
DOI: 10.17632/yhwwjdzfy5
title: An atomic Dirac–Fock–Roothaan program ☆

description: Abstract An atomic Dirac–Fock–Roothaan program is described for generalized average energy of configurations using Gaussian-type basis functions. It can treat three kinds of atomic nuclear models of point charge, uniformly charged sphere, and Gaussian proton-charge distribution. It runs within first memories or uses disk file for intermediate storage of two-electron integrals so that any calculations using basis sets of very large sizes can be performed. Title of program: DFRATOM Catalogue Id: ADOK_v1_0 Nature of problem The Dirac-Fock-Roothaan equations for 4-component atomic orbitals are solved using Gaussian-type basis functions. The program provides atomic total energies, orbital energies, and radial expectation values as well as atomic self-consistent-field orbitals. Versions of this program held in the CPC repository in Mendeley Data ADOK_v1_0; DFRATOM; 10.1016/S0010-4655(01)00198-9 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.20131727.v1
title: Replication Package for "What Quality Aspects Influence the Adoption of Docker Images?"

description: Replication Package for "What Quality Aspects Influence the Adoption of Docker Images?" Abstract: "Docker is a containerization technology that allows developers to ship software applications along with their dependencies in Docker images. Developers can extend existing images using them as base images when writing Dockerfiles. However, a lot of alternative functionally-equivalent base images are available. While many studies define and evaluate quality features that can be extracted from Docker artifacts, it is still unclear what are the criteria on which developers choose a base image over another. In this paper, we aim to fill this gap. First, we conduct a literature review through which we define a taxonomy of quality features, identifying two main groups: Configuration-related features (i.e., mainly related to the Dockerfile and image build process), and externally observable features (i.e., what the Docker image users can observe). Second, we ran an empirical study considering the developers’ preference for 2,441 Docker images in 1,911 open-source software projects. We want to understand (i) how the externally observable features influence the developers’ preferences, and (ii) how they are related to the configuration-related features. Our results pave the way to the definition of a reliable quality measure for Docker artifacts, along with tools that support developers for a quality-aware development of them"
DOI: 10.6084/m9.figshare.21973688.v2
title: Supporting Data for Unequal Health Risks of Integrated Volatile Organic Compounds Emitted from Various Anthropogenic Sources

description: This study first revealed unequal potential health risks of anthropogenic VOCs by real-world measurements, which offered a new perspective to debate on VOC pollution control. Through systematical field measurements and comprehensive assessments of potential health risks of source-emitted VOCs, this study highlighted that control strategies should consider the health-relevant metrics other than VOC mass, particularly residential emissions.
DOI: 10.6084/m9.figshare.23607693.v1
title: patient63.rar

description: A Patient with fundus images that taken by Ret-cam.
DOI: 10.6084/m9.figshare.25738536.v1
title: Supplementary Material for: Cannabinoid Hyperemesis Syndrome: What Do We Know?

description: Medicine
DOI: 10.25452/figshare.plus.20563800.v1
title: THINGS-data: MEG BIDS raw dataset

description: MEG raw dataset in BIDS format. <br> Part of THINGS-data: A multimodal collection of large-scale datasets for investigating object representations in brain and behavior. <br> See related materials in Collection at: https://doi.org/10.25452/figshare.plus.c.6161151
DOI: 10.6084/m9.figshare.1192897.v1
title: Grassland Dataset 1-BIOL 2050 LAB 2

description: Description/Method: The data for “Grassland Dataset 1” was collected on Friday September 26 2014 from 15:00-15:45, in a grassland area at the Keele Campus of York University in Toronto, Ontario. Weather conditions included clear, sunny skies with no prevalent cloud cover, little to no wind and a temperature of 25 degrees Celsius. A 2x2m quadrat was placed in a random location in the grassland area by the researcher. Variables to be collected in this dataset included: abundance of plants, number of individual species, vegetation cover (%) and grass cover (%). Each quadrat was visually divided into quarters by the researcher in order to count the abundance of plants (the total number of individuals) and multiplied by 4 to obtain the abundance of plants in the entire quadrat area. Individuals of grass species were not taken into account to avoid an increased likelihood in miscounting errors. All remaining data was collected by observation and estimation. The quadrat was relocated to 24 subsequent unique random locations in the grassland area, in order to obtain a total of 25 samples of the experiment. The abundance of plants and number of unique species were expected have relatively constant numbers respectively, due to the high density of vegetation and grass in the grassland area. Researchers also expected the abundance of plants and the vegetation cover to have a direct relationship. Fellow York University biology student, Kristina Gulli was my research partner in the conduction of this experiment. Fellow group members also included: Yu Xiao and Naz Naji.
DOI: 10.6084/m9.figshare.21342048.v2
title: Clinical Risk Factors Related to Post Stroke Epilepsy Patients in Indonesia: A Hospital-Based Study

description: Stroke had been accounted to cause almost 50% of epilepsy in the elderly and may lead to poor functional outcomes. Many studies examining the risk factors have been conducted despite showing inconsistent results and currently still difficult to predict the occurrence of post-stroke epilepsy. The study aimed to determine risk factors related to post-stroke epilepsy that influence clinical seizure, electroencephalography, and functional outcome of patients in Saiful Anwar General Hospital
DOI: 10.6084/m9.figshare.28938275.v1
title: <b>Vertical hydrological process as a primary driver of organic matter dynamics </b><b>in the frontal zones</b>

description: The study associated with this dataset is currently under submission for publication.
DOI: 10.6084/m9.figshare.3527606.v1
title: Supplement 2. Matlab code to perform factorial meta-analyses using Hedges' d and the log response ratio.

description: File List meta_fact.zip -- zip file containing the following eight MATLAB function files: fact_hedges_d.m -- A Matlab function that returns the individual, overall, and interaction effect sizes for 2 "agents" in a 2 × 2 factorial experiment, where effect size is measured using Hedges' <i>d</i>; the sampling variances of each effect size are also returned. fact_logRR.m -- A Matlab function that returns the individual, overall, and interaction effect sizes for 2 "agents" in a 2 × 2 factorial experiment, where effect size is measured using the log response ratio; the sampling variances and degrees of freedom of each effect size are also returned. J.m -- A Matlab function that computes the small-sample size correction factor J. Q.m -- A Matlab function that computes a weighted sum of squares. mean_effect.m -- A Matlab function that returns a weighted mean effect size and its 95% confidence limits, where the weights include the among-study variance if it is significant at <i>P</i> mean_effect_L.m -- A Matlab function that returns the weighted mean log response ratio effect size, its SE, and its 95% confidence limits, where the weights include the among-study variance, the significance of which (from a chi-square test on the sum of squares) is returned as well. test_Qb_mixed_2.m -- A Matlab function that tests for a significant between-class sum of squares in a mixed-model meta-analysis comparing two classes. test_Qb_mixed_n.m -- A Matlab function that tests for a significant between-class sum of squares in a mixed-model meta-analysis comparing n classes. Description This supplement includes Matlab code to compute individual, overall, and interactive effects using Hedges’ <i>d</i> and the log response ratio, to calculate weighted mean effect sizes, and to perform mixed-model homogeneity tests. Functions mean_effect, mean_effect_L, test_Qb_mixed_2, and test_Qb_mixed_n all use the function chi2cdf from the Matlab Statistics Toolbox. Additional documentation appears as comments at the beginning of each function file; once the files have been downloaded into a folder in the Matlab path, typing help function_name (e.g., help fact_logRR) at the Matlab command prompt will display the descriptive comments.
DOI: 10.17632/5mjg4yvt45
title: LPT EGT Trend

description: its the trend of LPT EGT Trend of a gas turbine for 6 month
DOI: 10.6084/m9.figshare.22682404.v1
title: Questionnaire survey of 992 first-year college students.sav

description: Questionnaire survey of 992 first college students
DOI: 10.6084/m9.figshare.25131778.v1
title: Residual Permutation Procedure data file from Mesophotic corals in Hawaiʻi maintain autotrophy to survive low-light conditions

description: The .csv file used to generate Residual Permutation Procedure (RPP) stats and Hotelling's T2 stats to corroborate results.
DOI: 10.6084/m9.figshare.25867090.v1
title: Supplementary Material for: ORCA-EFCD consensus report on clinical recommendations for caries diagnosis. Paper III: caries diagnosis at the individual level.

description: The aim of the present consensus paper was to provide recommendations for clinical practice on the individual etiological and modifying factors to be assessed in the individual diagnosis of caries, and the methods for their assessment, supporting personalized treatment decisions.
The executive councils of the European Organisation for Caries Research (ORCA) and the European Federation of Conservative Dentistry (EFCD) nominated ten experts each to join the expert panel. The steering committee formed three work groups which were asked to provide recommendations on 1) caries detection and diagnostic methods, 2) caries activity assessment and 3) forming individualised caries diagnoses. The experts responsible for “individualised caries diagnosis” searched and evaluated the relevant literature, drafted this manuscript and made provisional consensus recommendations. These recommendations were discussed and refined during the structured process in the whole work group. Finally, the agreement for each recommendation was determined using an anonymous eDelphi survey. The threshold for approval of recommendations was determined at 70% agreement.
Ten recommendations were approved and agreed by the whole expert panel, covering medical history, caries experience, plaque, diet, fluoride and saliva. While the level of evidence was low, the level of agreement was typically very high, except for one recommendation on salivary flow measurement, where 70% agreed. 
It is recommended that all aspects of caries lesion progression and activity, recent caries experience, medical conditions and medications, plaque, diet, fluoride and saliva should be synthesized to arrive at an individual diagnosis.
The expert panel merged evidence from existing guidelines and scientific literature with practical considerations and provided recommendations for their use in daily dental practice.
DOI: 10.17632/fzs2bw7p6z
title: Endogenous retrovirus-like proteins recruit UBQLN2 to stress granules and alter their functional properties. Mohan et al

description: Cell Profiler pipelines for analysis of IF images and R code for proteomics analyses.
DOI: 10.17632/kjr3xx34ps
title: Calcium Isotope Fractionation in Plagioclase from Mafic-Ultramafic Rocks: Implications for Magmatic Processes and Planetary Differentiation

description: There are a total of 8 tables. Table 1 is the major element composition table of the whole rocks from the Panzhihua rock body and the Xiaohaizi rock body. Table 2 is the calcium isotope composition of the whole rocks, clinopyroxene and plagioclase from the two rock bodies. Table 3 is the Estimated Plagioclase-Melt Ca Fractionation Factors at 1000K. Tables S1 to S4 are respectively the major element composition tables of the clinopyroxene and plagioclase from the Panzhihua rock body and the Xiaohaizi rock body. Table S5 is the trace element table of the clinopyroxene and plagioclase from the two rock bodies.