cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/cgf5ptrspm
title: Scuderi S, Kang T-Y, Jourdon A et al., Cell Stem Cell 2025 - Mendeley Data Figures

description: SUPPORTING DATA FIGURES for Scuderi, Kang, Jourdon et al., (2025). Specification of human brain regions with orthogonal gradients of WNT and SHH in organoids reveals patterning variations across cell lines. Cell Stem Cell. 

The PDF includes six supplementary figures with detailed titles and legends.

Mendeley Data Figure 1: scRNA cluster markers in organoids, RNA velocity, projection to fetal mouse brain, and disorder-risk genes expression. Related to Figure 2.
Mendeley Data Figure 2: Comparison of gene expression profiles and label transfer results between organoids and fetal brain atlas. Related to Figure 2.
Mendeley Data Figure 3: Differential expression of genes between Duo-MAPS position in progenitor cells, immunostaining quantifications across positions. Related to Figure 3.
Mendeley Data Figure 4: Donor- and line-dependent variations during patterning and in undifferentiated iPSCs. Related to Figure 5
Mendeley Data Figure 5: SCENIC-derived regulatory network analysis at d64. Related to Figure 6.
Mendeley Data Figure 6: Comparison and integration of Duo-MAPS cell type diversity with Human Neural Organoid Cell Atlas (HNOCA) datasets. Related to Figure 2 and 3.
DOI: 10.17632/pmg7v9889t
title: Sexual behavior of Anastrepha obliqua (Macquart) (Diptera: Tephritidae): Do laboratory domestication conditions influence male courtship behavior?_RAW DATA + STATISTICS

description: We analyzed the influence of laboratory domestication on the courtship behavior of the fruit fly species Anastrepha obliqua, an important agricultural pest. We compared the temporal patterns of pheromone emission (Calling behavior) and the frequencies and sequences of the courtship behavioral units of males of a laboratory lineage (F=67) and a wild population (F=0).
DOI: 10.6084/m9.figshare.13020590.v1
title: Academic job applications examples

description: My job applications for PhD (2010), postdoc (2014), faculty (2016). See veronikach.com for more examples / information
DOI: 10.6084/m9.figshare.13271111.v2
title: SU-EATABLE LIFE: a comprehensive database of carbon and water footprints of food commodities

description: The Su-EATABLE LIFE (SEL) database is a harmonised compilation of carbon (CF) and water (WF) footprint values of food commodities, based on a standardized methodology to extract information and assign optimal footprint values and uncertainties to food items, starting from peer-reviewed articles and grey literature. SEL database is organized in different levels of information suitable for different users and purposes. An updated and harmonized compilation of 3349 carbon footprint values extrapolated from 841 publications (1998-2019) and 937 water footprint values extrapolated from 88 publications (2005-2018) represents the solid basis of the database and the most disaggregated level of information. Using a rigorous statistical approach we have created additional levels of data information which represent increasing level of CF and WF data aggregation, summarized into 85 typologies, 11 sub-typologies, 323 items data of CF and 72 typologies, 9 sub-typologies, 320 items data of WF. Moreover we have implemented an innovative methodological framework for uncertainty treatment and data quality assurance to attribute robust and statistically significant footprint values to food commodities. The complex sets of statistical evaluations, done for each informative level, are summarized into an easy to use datasheet reporting values of CF and WF of food items. Thanks to its multilevel approach and to the transparent procedure for data analysis and quality check, the database can be easily implemented and modified, fits different purposes and levels of expertise and provides a flexible science based tool operators, managers and researcher in the food sector.
DOI: 10.6084/m9.figshare.20425425.v1
title: Data files

description: Germination, seedling, and adult offspring traits are shown here. Please refer to the readme file for a description of the experiment and coding for treatments.
DOI: 10.6084/m9.figshare.21067729.v1
title: Molecular systematic analysis demonstrates that the threatened southern bell frog, Litoria raniformis (Anura: Pelodryadidae) of eastern Australia, comprises two sub-species.Untitled Item

description: DNA sequences and statistics are accessible from Diversity Array Technology Pty. Ltd., Canberra, Australia (Reports - DFr16-214 and DFr13-1300) and the genotype matrix. Mitochondrial DNA alignments for the short <em>COI</em> and <em>ND4</em> fragments. Supplementary Text: Bioacoustics
DOI: 10.6084/m9.figshare.21801097.v1
title: Processed CCLE mutation 21Q3 data

description: Processed CCLE mutation 21Q3 data
DOI: 10.6084/m9.figshare.28815287.v4
title: Table S2, MLST type, dDDH and ANI values with reference genomes

description: Table S2, MLST type, and dDDH and ANI values with reference genomesAverage nucleotide identity (ANI) and dDDH were calculated using the pyani pipeline [12] and the genome-to-genome distance calculator (GGDC, formula 2), respectively. Additionally, Identification of acquired AMR genes, plasmid replicon types, and multilocus sequence types was conducted using the Staramr pipeline (v0.11.0) [12], incorporating ResFinder (database version 06.08.2024), PlasmidFinder (database version 08.08.2024), and MLST (v2.23.0).
DOI: 10.6084/m9.figshare.28911500.v1
title: Micromorphology and impregnation supporting information

description: Supporting information for the paper<i> </i><i>Micromorphological Sediment Screening (MSS) and CT-Scanning for Prioritization in Archaeological Excavations</i><i>.</i>It includes:Information on the impregnation materialsDocumentation of the methods and processesPhotos of in-situ sampling at excavations at Sorte Muld, Ladegård and GinnerupReports and results of the different methods employed<br>
DOI: 10.17632/shkhfbh4xd
title: Dataset of Atmospheric PAHs in Memphis

description: This dataset contains concentrations (in ng/m3) of 32 polycyclic aromatic hydrocarbons (PAHs) in the ambient air in the Memphis Tri-state Area (MTA) measured every 12 days from March 13th, 2018, to May 25th, 2019.
DOI: 10.6084/m9.figshare.19638516.v1
title: FER-2013-Dataset-With-Face-Masks-main.zip

description: Dataset for convolutional neural network
DOI: 10.6084/m9.figshare.22415482.v1
title: Stress data

description: Investigation into wearable-derived cardiovascular markers of stress
DOI: 10.6084/m9.figshare.24235696.v4
title: A unified and validated traffic dataset for 20 U.S. cities

description: <b>Update Notes</b><b>Mar 16 2024,</b> remove spaces in the file and folder names.<b>Mar 31 2024,</b> delete the underscore in the city names with a space (such as San Francisco) in the '02_TransCAD_results' folder to ensure correct data loading by TransCAD (software version: 9.0).<b>Aug 31 2024, </b>add<b> </b>the<b> </b>'cityname_link_LinkFlows.csv' file in the '02_TransCAD_results' folder to match the link from input data and the link from TransCAD results (LinkFlows) with the same Link_ID.<b>Introduction</b>This is a unified and validated traffic dataset for 20 US cities. There are 3 folders for each city.01 Input datathe initial network data obtained from OpenStreetMap (OSM)the visualization of the OSM dataprocessed node / link / od data02 TransCAD results (software version: 9.0)cityname.dbd : geographical network database of the city supported by<b> TransCAD (</b><b>version 9.0</b><b>)</b>cityname_link.shp / cityname_node.shp : network data supported by GIS software, which can be imported into TransCAD manually. Then the corresponding '.dbd' file can be generated for <b>TransCAD with a version </b><b>lower</b><b> than 9.0</b>od.mtx : OD matrix supported by TransCADLinkFlows.bin / LinkFlows.csv : traffic assignment results by TransCADcityname_link_LinkFlows.csv: the input link attributes with the traffic assignment results by TransCADShortestPath.mtx / ue_travel_time.csv : the traval time (min) between OD pairs by TransCAD03 AequilibraE results (software version: 0.9.3)cityname.shp : shapefile network data of the city support by QGIS or other GIS softwareod_demand.aem : OD matrix supported by AequilibraEnetwork.csv : the network file used for traffic assignment in AequilibraEassignment_result.csv : traffic assignment results by AequilibraE<b>Publication</b>Xu, X., Zheng, Z., Hu, Z. et al. (2024). A unified dataset for the city-scale traffic assignment model in 20 U.S. cities. Sci Data 11, 325. https://doi.org/10.1038/s41597-024-03149-8<b>Usage Notes</b>If you use this dataset in your research or any other work, please cite both the dataset and paper above.A brief introduction about how to use this dataset can be found in GitHub. More detailed illustration for compiling the traffic dataset on AequilibraE can be referred to GitHub code or Colab code.<b>Contact</b>If you have any inquiries, please contact Xiaotong Xu (email: kid-a.xu@connect.polyu.hk).<br><br>
DOI: 10.6084/m9.figshare.3567840.v1
title: Appendix B. Tutorial on using the reo package in R.

description: Tutorial on using the reo package in R.
DOI: 10.6084/m9.figshare.7120778.v1
title: Identification of key genes and functional coexpression modules in ulcerative colitis by gene datasets analysis

description: Robust rank aggregation method is a kind of bioinformatics analysis,which is used to obtain significant differentially expressed genes in ulcerative colitis datasets. (<b>T</b><b>able</b><b> </b><b>S1</b>);Weighted gene coexpression network analysis was used to explore the functional modules involved in ulcerative colitis pathogenesis.(<b>T</b><b>able</b><b> </b><b>S</b><b>2</b>)<b></b><i></i><sub></sub><sup></sup><br><b></b><i></i><sub></sub><sup></sup><b></b><i></i><sub></sub><sup></sup><br>
DOI: 10.60893/figshare.app.28886627.v1
title: Supplemental Materials for publication

description: Supplemental Materials
DOI: 10.17632/fbj4ycdn98
title: Benchmark dataset and results for the D-Wave's Nonlinear-Program Hybrid Solver analysis

description: This dataset contains all the instances employed in the experimentation described in the paper "D-Wave's Nonlinear-Program Hybrid Solver: Description and Performance Analysis". 

Results discussed in the paper are also included in this dataset.
DOI: 10.17632/srfp7x6wxm
title: Dataset for "Impulse excitation technique data set collected on different materials for data analysis methods and quality control procedures development"

description: In this open database, Impulse Excitation Technique data are collected for qualitative analysis purposes. By expanding the database, automated systems for materials recognition can be developed or improved. Instructions for contribution: - All data are reported in three versions: original audio file, transcribed audio file (text data) and fourier-transformed data. - Each sample or set of samples has to be described in a proper Data Article in order to provide each useful information (composition, dimensions, weight...) that can be used for automated recognition.
DOI: 10.17632/whc6r8w86g
title: Modeling Steady State Power Consumption in Split Air Condition Units Based on Indoor Environmental Condition using Cumulative Sum and Machine Learning Techniques

description: An energy consumption monitoring system logs, records, and measures building power consumption. Real-time measurement covers room temperature, humidity, CO2 gas sensors, circuit breaker power con-sumption. The data on electricity power usage, indoor temperature, and air quality are collected and systematically analyzed and evaluated. These systems are very necessary for the real-time measurement of power usage, indoor temperature, humidity, and CO2. Remote power consumption sub-metering modules are based on Arduino Mega 2560 coupled with a Raspberry Pi 3B+ across a LAN. Each room is installed with a Mitsubishi split-type inverter ACU, with power rating ranges from 1.5 up to 6.0 horsepower, depending on the room type and size. For 11 weeks, the consumption of ACU power, inside temperature, humidity, and CO2 levels were measured every 5 minutes on months with average outdoor temperature was 29.40°C and relative humidity was 67%. The data used for curve fitting and analysis to connect and model power consumption with indoor temperature and air quality conditions are collected only during classes or office operations. Selected were five rooms of mixed use, from instructional rooms down to the 36-seater lecture hall, laboratory room, computer room, to office spaces with a maximum capacity of fifteen (15) persons, and cubicle room built for solitary usage. The ideal operating time of instructional classrooms should be at least two (2) to eight (8) hours a day, while office areas are usually occupied from eight (8) to ten (10) hours. The objective of the present work focuses on the steady-state power consumption of ACUs. Furthermore, to : (1) compare empirical models with those based on ACU power consumption and factors which influence its steady-state time; (2) demonstrate the ability of AI techniques to classify power consumption; and (3) derivation of potential power savings from changing ACU set points. It is the goal of this study to help with the generation of more general and robust models on optimizing the ACU performance, which in turn raises occupant comfort and energy efficiency. Cumulative sum technique (CUSUM) was used to calculate sum of deviations from a target value to detect significant changes in mean value of power and temperature, adjusted by a standard deviation-based allowance. The resulting values can be found on Table 1 showing that higher ACU setpoints (i.e., warmer temperatures) give lower levels of daily and steady-state power use. The MATLAB Classification Learner application is used to develop predictive models based on supervised learning algorithms. Table 3 summarize the efficacy of different machine learning strategies in predicting energy use by ACUs, offering valuable insight into the choice of the models that one can use, given the complexity and nature of the data.
DOI: 10.23645/epacomptox.5588560.v3
title: Archived Distributed Structure-Searchable Toxicity (DSSTox) Data

description: The most updated EPA DSSTox data files are available https://doi.org/10.23645/epacomptox.5588566 . EPA’s Distributed Structure-Searchable Toxicity (DSSTox) database contains curated chemical substances mapped to data including chemical identifiers (i.e., chemical synonyms, systematic names, CAS Registry Numbers and others) and, where appropriate, chemical structure representations. The goal for DSSTox is to accurately represent chemical substances, their structures and identifiers, as well as relevant chemical lists which are important to the environmental research and regulatory community.Science Inventory, CCTE products: https://cfpub.epa.gov/si/si_public_search_results.cfm?advSearch=true&showCriteria=2&keyword=CCTE&TIMSType=&TIMSSubTypeID=&epaNumber=&ombCat=Any&dateBeginPublishedPresented=07/01/2017&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&DEID=&personName=&personID=&role=Any&journalName=&journalID=&publisherName=&publisherID=&sortBy=pubDate&count=25
DOI: 10.6084/m9.figshare.20514243.v1
title: IL Bldgs - ORNL USA Structure Dataset

description: Illinois building outline dataset.
DOI: 10.6084/m9.figshare.25256455.v1
title: Supplementary Material for: Prevalence and trajectories of post-COVID-19 neurological manifestations: A systematic-review and meta-analysis

description: Introduction 
The aim of this systematic review and meta-analysis was to evaluate the prevalence of thirteen neurological manifestations in people affected by COVID-19 during the acute phase and at three, six, nine and twelve-month follow-up time points.
Methods
The study protocol was registered with PROSPERO (CRD42022325505). MEDLINE (PubMed), Embase and the Cochrane library were used as information sources. Eligible studies included original articles of cohort studies, case-control studies, cross-sectional studies and case series with ≥5 subjects that reported the prevalence and type of neurological manifestations, with a minimum follow-up of three months after the acute phase of COVID-19 disease. Two independent reviewers screened studies from January 1, 2020 to June 16, 2022. The following manifestations were assessed: neuromuscular disorders, encephalopathy/altered metal status/delirium, movement disorders, dysautonomia, cerebrovascular disorders, cognitive impairment/dementia, sleep disorders, seizures, syncope/transient loss of consciousness, fatigue, gait disturbances, anosmia/hyposmia and headache. The pooled prevalence and their 95% confidence intervals were calculated at the six pre-specified times. 
Results
126 of 6,545 screened studies fulfilled the eligibility criteria, accounting for 1,542,300 subjects with COVID-19 disease. Of these, four studies only reported data on neurological conditions other than the 13 selected. The neurological disorders with the highest pooled prevalence estimates (per 100 subjects) during the acute phase of COVID-19 were anosmia/hyposmia, fatigue, headache, encephalopathy, cognitive impairment and cerebrovascular disease. At three-month follow-up the pooled prevalence of fatigue, cognitive impairment and sleep disorders was still 20% and higher. At six- and nine-month follow-up, there was a tendency for fatigue, cognitive impairment, sleep disorders, anosmia/hyposmia and headache to further increase in prevalence. At twelve-month follow-up, prevalence estimates decreased but remained high for some disorders, such as fatigue and anosmia/hyposmia. Other neurological disorders had a more fluctuating occurrence. 
Discussion
Neurological manifestations were prevalent during the acute phase of COVID-19 and over the one-year follow-up period, with the highest overall prevalence estimates for fatigue, cognitive impairment, sleep disorders, anosmia/hyposmia and headache. There was a downward trend over time suggesting that neurological manifestations in the early post-COVID-19 phase may be long-lasting but not permanent. However, especially for the twelve-month follow-up time-point, more robust data is needed to confirm this trend
DOI: 10.17632/8grfv56j3m
title: Dataset for Group Debriefing in a VR-Based Safety Education Program (2019, China)

description: How can students in a large classroom benefit from virtual reality (VR)-based instruction despite limited equipment? Group debriefing based on observed VR experiences provides a potential solution. This study employed a two-by-two factorial design to empirically investigate the feasibility and effectiveness of debriefing and types of VR experiences on enhancing VR learning outcomes. Second and third graders (n = 150) were randomly assigned to one of the four VR learning conditions: (1) performing individually with individual debriefing, (2) performing individually with no debriefing, (3) observing in a group with group debriefing, and (4) observing in a group with no debriefing. Study results reported moderate effect sizes of debriefing on increasing knowledge test as well as performance scores of the VR learners but revealed no significant difference between direct and observed VR learning experiences. The findings reveal that students can benefit from vicarious VR learning experiences if an instructional component of debriefing is provided in educational practice.
DOI: 10.17632/svmcxt5z5f
title: BDD_Templates

description: Dataset for building the ontology for BDD.
DOI: 10.17632/tv6w6yyfy8
title: Dataset assessing three samples of French university students to 5 personality tests: IPO, PDQ-4+, PANAS, AQ and HADS.

description: This dataset provides the results of three samples of French university students (Angers University) to 5 personality tests: IPO, PDQ-4+, PANAS, AQ and HADS. These three studies were approved by the research ethics committee of Angers University. Data were collected from November 26, 2021 to February 19, 2022 for Studies 1 and 2. Data collection for Study 3 ended on September 31, 2022. 
The first part of this dataset comprise 602 first- and second-year psychology students: 112 men, 486 women, and 4 participants of unspecified gender (Mean age = 19.40 years / SD = 1.95). It is composed of two separate samples: 269 first-year students (Sample 1 = Study 1 Sample 1.xlsx) and 333 second-year (Sample 2 = Study 1 Sample 2.xlsx). The first part gives the scores obtained by students to the Inventory of Personality Organization (Kernberg). The IPO assesses three components of personality, namely Primitive psychological Defenses (PD = 16 items), Identity Diffusion (ID = 20 items), and Reality Testing (RT= 21 items). Personality disorders manifest themselves in high levels of one or more of these three dimensions (scales). The second part of this dataset (Study 2 = Study 2.xlsx) is consisted of 305 students from different departments at the University of Angers. It is composed of 63 men and 242 women, with a mean age of 19.83 years (SD = 2.12). It offers the results of this sample to the three scales (PD/ID/RT) of the French translation of the IPO and to the French versions of the following tests: Personality Diagnostic Questionnaire-4+ (PDQ-4+), Positive and Negative Affect Schedule (PANAS), Aggression Questionnaire (AQ), and Hospital Anxiety and Depression Scale (HADS). Studies 1 and 2 were used to develop and validate the French version of the IPO in 40 items and 2 scales (PD-ID/RT): the IPO-fr. In the third part (= Study 3), respondents are 182 first- and second-year students from the Department of Psychology and 425 first- and second-year students from the Departments of Arts and humanities (Mage = 19.38, SD = 1.93). Study 3 contains (1) Responses from 607 French young adults to each item of the IPO-fr, (2) Responses obtained by the same 607 respondents to the French PDQ-4+ (self-report questionnaire and Clinical significance scale), and (3) Basic demographic information (gender and age) collected for all respondents. For the IPO-fr, scores on the PD/ID and RT scales were calculated by summing participants' scores on the items in each scale. The total score consists of the sum of participants' scores on the PD/ID and RT scales. A codebook containing the French version of the PDQ-4+ and the IPO-fr is included in this dataset.
This Version 4 of the dataset enhances the content of this codebook 1) by providing an English translation of the validated French version of the IPO and 2) by offering both in the French version and in its English translation an explicit link between the items in this questionnaire and the variables in the dataset.