cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28904647.v1
title: Ocular Neuromyotonia in Thyroid Eye Disease

description: Ocular neuromyotonia (ONM) in thyroid eye disease (TED) seems to be a rare finding. We present the case of a 61-year-old male TED patient who developed spontaneous transient neuromyotonic infradeviation of the right eye every   ~1 minute in the setting of prominent enlargement of the right inferior rectus muscle and restriction of supraduction. Neither carbamazepine or lacosamide were able to abate ONM. Following subsequent TED worsening with almost complete restriction of the right eye, ONM was no longer observed. ONM has been described in 7 TED cases, either in conjunction with underlying restrictive strabismus or in isolation. Chronic compression and inflammation seem to lead to nerve hyperirritability, demyelination, and/or axonal damage and predispose to ONM in TED. Importantly, ONM might develop during active or inactive TED. Voltage gated sodium channel blockers should be used in TED-related ONM, albeit clinical response might be incomplete, suggesting the presence of other mechanism(s), besides ephaptic transmission. Newer neuronal membrane stabilizers acting on sodium and calcium channels (e.g. lamotrigine, oxcarbazepine) as well as newer monoclonal antibodies (e.g. teprotumumab, tocilizumab, infliximab) might play a role in TED-related ONM and their potential therapeutic effect should be investigated in future studies.
DOI: 10.6084/m9.figshare.8342507.v1
title: Supplementary Material for: The Impact of Focality and Centricity on Vulvar Intraepithelial Neoplasia on Disease Progression in HIV+ Patients: A 10-Year Retrospective Study

description: <b><i>Background:</i></b> The impact of lesion focality and centricity in relation to patient outcome and disease recurrence of vulvar intraepithelial neoplasia (VIN) is an understudied area of research, especially in immunocompromised women. The prevalence and incidence of VIN have increased steadily since the 1980s because of the co-existence of human papillomavirus (HPV) and human immunodeficiency virus (HIV). In this study, we retrospectively examined the records of VIN patients to determine the effect of lesion focality and centricity with respect to the interval to disease recurrence. <b><i>Materials and Methods:</i></b> All women diagnosed with VIN and managed between January 2002 and December 2011 were included (<i>n</i> = 90) and followed up until December 2017. Symptoms at the time of presentation, including HIV positivity (<i>n</i> = 75), were collated, including the influences of multifocality and multicentricity on time to disease recurrence. <b><i>Results:</i></b> Multicentricity caused a more rapid recurrence of disease than unicentricity (<i>p</i> = 0.006), whereas multifocality increased the risk of recurrence more than unifocality (<i>p</i> &lt; 0.0001). Viral load in the HIV+ patients was not associated with time to disease recurrence, but the reduced number of CD4+ lymphocytes present in HIV+ patients was. Treatment modalities had no effect on disease recurrence. <b><i>Conclusion:</i></b> Both focality and centricity have effects on interval to recurrence and final patient outcome, with multifocal disease having a poorer prognosis. Centricity and focality should be recorded at the time of diagnosis and act as a warning for disease recurrence. HIV+ VIN patients with multifocal disease and/or known immunosuppression (low CD4+ lymphocyte counts) should be regarded as “high-risk” patients and treated accordingly.
DOI: 10.17632/7w7fccy7ky
title: Dataset CAUCAFall

description: CAUCAFall is a database created with the aim of recognizing human falls, where its differential feature lies in the fact that it is created in conditions of an uncontrolled home environment, with occlusions, changes in lighting (natural, artificial, and night), variety in the clothing of the participants, movement in the background, different textures on the floor and room, variety in the angles of fall, different distances from the camera to the fall, with participants of different age, weight, height, and even different dominant leg, which contributes to the real progress of research in the recognition of falls. In addition, the proposed database is the only one that contains segmentation labels in each of its images, which serve to be able to implement human fall recognition methods by means of YOLO detectors.

Subjects simulated 5 types of falls and 5 types of activities of daily living (ADLs). The data included forward falls, backward falls, falls to the left, falls to the right, and falls arising from sitting. The ADLs performed by the participants are: walking, hopping, picking up an object, sitting, and finally kneeling. Frames that recorded human falls were labeled as "fall" and ADLs were labeled as "no-fall".

The data are organized into 10 main directories corresponding to the subjects, each of which contains 10 folders with the different activities performed by the participants, and in each folder there is a video of the action in .avi format, the images of the actions in .png format, and each of the frame segmentation labels in .txt format.
DOI: 10.17632/7kvwjztj8x
title: Influence of Project-Based Learning on Production Engineer Competencies

description: The dataset represents the influence of Project-Based Learning on Production Engineer competencies in the view of specialists on the subject. This dataset displays data collected through Google Forms online survey, which was then submitted by email to specialists in the application of Project-Based Learning to identify its influence on the competencies of the production engineer. The specialists were found in the ResearchGate tool with the word "Project-Based Learning" and "Engineering Education" in the search field. The data set consists of 87 responses indicating the profile of the specialist (education level, current role, years of experience, and country) and the identification of the influence of 29 competencies of the production engineer.
DOI: 10.17632/bh47n6fnpd
title: Fast and highly sensitive full-length single-cell RNA-sequencing using FLASH-seq

description: https://www.nature.com/articles/s41587-022-01312-3

Plate-based single-cell RNA-sequencing methods provide high transcriptome coverage and full-length mRNA information but have limited throughput. We present FLASH-seq (FS), a full-length scRNA-seq method with increased sensitivity and reduced hands-on time compared to Smart-Seq3. The entire FS protocol can be performed in ~4.5 hours, is simple to automate and can be easily miniaturized to decrease resource consumption. ​​
In addition, the FS protocol can takes advantage of Unique Molecular Identifiers (UMIs) for molecule counting and display reduced strand-invasion artefacts. We expect FS to become the tool of choice when the characterization of gene expression at high-resolution across multiple cell types and tissues is required.

The following folders contain the table of counts and extra files associated with the manuscript "Fast and highly sensitive full-length single-cell RNA-sequencing using FLASH-seq" (10.1038/s41587-022-01312-3). Please contact us if something is missing or if some clarifications is required. 

Notes: 

1. ".rds" files were generated in R v4.1 with "write_rds" (readr, v2.0.0) and can be read with the "read_rds" function (readr).
2. The code associated to these files can be found at: https://github.com/vincenthahaut/FLASH-Seq
3. Tables of counts provided here are not meant to replace the actual raw data that can be found here in NCBI SRA: PRJNA816486. If you want to repeat the analysis we advice you to start from the raw data whenever possible.
DOI: 10.6084/m9.figshare.14071439.v9
title: Replication Data and Code for: Human-Network Regions as Effective Geographic Units for Disease Mitigation

description: This repository contains code and partial data for replicating the work performed in "Human-Network Regions as Effective Geographic Units for Disease Mitigation" as well as an online resource for interacting with regional boundaries. Please contact corresponding author Clio Andris for assistance with implementing code.<br><br>An interactive webtool accompanying the paper "Human-Network Regions as Effective Geographic Units for Disease Mitigation" allows users to create regions based on a combination of weighted inputs from different network data. Each county is then colored by region. Users can export the resultant regions as a tabular file, and export an image of the map (e.g., jpg or tif). The webtool is here: https://www.geo-social.com/consensus_regions/index.html<br><br>FILE DESCRIPTIONSCountyFIPS_Communities.csv: This dataset contains community detection results for each U.S. county in the Conterminous U.S., where the community detection methods divide counties into separate groups (i.e., clusters). There are five different input networks (Commuters, Facebook relationships, Migrants, GPS-based trips and Twitter co-mentions). The different methods were selected using the igraph package in R. A Q statistic is reported for each network/method combination.Migrants_Commuters.csv: This dataset is an undirected edgelist of counties in the U.S. weighted by number of migrants and number of commuters between the counties. Each county is given using a FIPS number.<br><br>nullmodel1000_44.csv: This dataset provides 'null' (i.e., randomized) regions at the U.S. county level. Each county is assigned to one of 44 different regions using random points and Voronoi polygons. Each region is geographically contiguous. There are 1,000 randomized permutations provided.Lattice2.csv: This dataset is a county adjacency edgelist by FIPS code.<br><br>R Code (Steps 1 - 4): This is the R code used to import, clean, and analyze the data.ConsensusRegions_Webtool.txt: Lists the website for our online webtool (https://www.geo-social.com/consensus_regions/index.html).<br>
DOI: 10.6084/m9.figshare.26828164.v1
title: <b>Raw data of plastic debris collected in the Southwest Indian Ocean by manta trawling (from the paper: </b><b>Plastic debris (&gt; 500µm) concentration gradient detected across the Southwest Indian Ocean</b><b> )</b>

description: All raw data from manta trawling collected in the Southwest Indian Ocean : environmental data and concentration of plastic debris by size classes and type
DOI: 10.6084/m9.figshare.c.3662699_d2.v1
title: Additional file 2: of Applying openEHRâ  s Guideline Definition Language to the SITS international stroke treatment registry: a European retrospective observational study

description: Previous Strokes and Diabetes â   contains data on previous stroke and diabetes diagnoses among the 12,046 patients of the 2010â  2011 study period. (CSV 426 kb)
DOI: 10.17632/pnjcbbr66r
title: Redox control in arsenic accumulation with organic matter derived from a varved lacustrine deposit in the Jurassic accretionary complex

description: Table 1 Radiocarbon dates
Table 2 As concentrations of sediments
Table 3 Water quality of the Ane River (ionic concentrations, temperature, pH, electric conductivity, dissolved oxygen concentration and ion balances)
Figure 4 XRD of Ane River lacustrine deposits
Figure 7 Sequential extraction of As concentrations in Ane River lacustrine deposits
DOI: 10.17632/4spjbtsm5p
title: Replication Dataset - for the paper "Real exchange rates and manufacturing exports in emerging economies: the role of sectoral heterogeneity and product complexity" [published in Review of World Economics]

description: The empirical evidence on the relationship between the real exchange rate and export performance in emerging economies is inconclusive. In this paper, we present evidence that one reason for this inconclusiveness is the use of real exchange rate (RER) measures that do not consider the heterogeneity between economic sectors. To this end, we calculate a unique sectoral bilateral RER index (SBRER) for 12 Latin American economies, which considers the variation of producer price differentials and bilateral nominal exchange rates across 21 manufacturing sectors and 38 trade partners between 2001-2018, and to estimate the effect of SBRER movements on manufacturing exports. The regression results show that the SBRER is a significant determinant of aggregate manufacturing exports, whereas the bilateral RER is not significant. Moreover, sectoral export elasticities indicate that mainly sectors with low levels of product complexity and, to a lesser extent, those of medium complexity are affected by RER movements. These findings show that it is important to consider sectoral heterogeneity when estimating RER export elasticities from a macroeconomic perspective.
DOI: 10.17632/9f5d35st96
title: MENTAL HEALTH, RESILIENCE, JOB SATISFACTION, SOCIAL DETERMINANT OF HEALTH IN YOUNG AND ADULTS

description: The data used come from my doctoral thesis, use the instruments. A battery was applied that included the following five questionnaires:

1. Labor Satisfaction: Minnesota Satisfaction Questionnaire Short form (MSQ)

2. Depression Anxiety Stress Scale (DASS 21)

3. Quality of Life Scale and Health Self-Perception QoL Brief

4. BRS Short Resilience Scale

5. Scale of Social Determinants of Health
DOI: 10.17632/bdmbm8ny37
title: Effectiveness of video self-instruction training on cardiopulmonary resuscitation retention of knowledge and skills among nurses in north-western Nigeria.

description: This study aims to compare Nurses' retention of cardiopulmonary resuscitation knowledge and skills level through video self-instruction training in northwestern Nigeria A randomized controlled trial study was implemented among 150 nurses in two referral hospitals. Stratified simple random using computer-generated random numbers were used to choose eligible nurses. After the training an immediate post-test evaluation was conducted, thereafter participants have no access to the training materials until the next follow-up test at 1-, 3- and 6 months. Generalized Estimated Equation showed no significant differences between the intervention group (p>.055) and control group (p>.121) for both CPR knowledge and skills levels respectively, adjusted with covariates. A significantly higher probability of having good knowledge and skills in a post-test, month and three-month follow-up compared to baseline respectively, adjusted with covariates (p<.05). Like knowledge participants at six-month follow-up had a lower probability of having good skills compared to baseline, adjusted with covariates (p<.003).
DOI: 10.17632/x44hf7g4z5
title: Data for: A re-assessment of elemental proxies for paleoredox analysis
DOI: 10.6084/m9.figshare.28327907.v1
title: <b>Segmentation on CT Images</b>

description: This research demonstrates the excellent accuracy of pancreatic tumor diagnosis using a tumor detection framework that makes use of CT images and secondary indications of pancreatic cancer.
DOI: 10.6084/m9.figshare.4787665.v1
title: SVHN dataset batches

description: This is a copy of the SVHN dataset (http://ufldl.stanford.edu/housenumbers/), that has been formatted to work with both `cuda-convnet2` (https://github.com/akrizhevsky/cuda-convnet2) and `nengo_extras` (https://github.com/nengo/nengo_extras). I take no credit for this dataset.
DOI: 10.17632/k9c7c666bt
title: Sediment particle distribution in a dammed reservoir under climate and land use scenarios (Carpathian Mts.)

description: The database contains a graphical representation of the modeling study results carried out for the upper Raba River catchment with the Dobczyce dammed reservoir, located in the Polish part of the Carpathian Mts. The study focused on tracking of three sediment fractions (mineral - SILT, CLAY; and mineral-organic - SMAG) from their source, to deposition place in the reservoir. For this purpose, the SWAT and AdH/PTM models were used, and combined on a digital platform - the Macromodel DNS. This allowed us to maintain the natural continuity of sediment transport between the catchment, river, and reservoir, and precisely indicate the particle deposition areas for each fraction. The analyzes were carried out with a monthly time step, taking into account the high variability of sediment loads flowing to the reservoir. The study also considered the impact of climate and land use changes on this process. The calibrated and verified SWAT model for the upper Raba catchment was used as the baseline scenario. Then, the combined climatic and land use scenarios (VS1-VS4) were applied. Climate change forecasts included RCP4.5 and RCP8.5 emission scenarios for short (2026-2035) and long time horizons (2046-2055). The  land use scenarios (forest and urban) were based on the results of the FORECOM. In order to track the individual sediment fractions in the reservoir, it was divided into four zones (A-D).

The database consists of three excel files divided into sheets:

File 1_DATA_SWAT consists of 6 excel sheets:
research area - location of the analyzed upper Raba River catchment;
SWAT-BASE - results of the flow simulation (m3/s) with the daily time step and the sediment fraction loads (t/m) in the monthly time step in the Myślenice calculation profile for the baseline scenario; 
climate scenarios - monthly values of changes for temperature (0C) and precipitation (%);
SWAT-VS1, VS2, VS3 and VS4 - simulation results of the impact of individual scenarios on the flow values (m3/s) and sediment fractions (t/m) in the following months. 
File 2_DATA_AdH/PTM consists of 5 excel sheets:
Division of the reservoir  - location of individual zones of the dam reservoir;
AdH/PTM-BASE - simulation results of baseline scenario in the AdH/PTM model, taking into account the deposition coordinates (x, y) of individual sediment fractions in subsequent zones of the dam reservoir and their diameters (d); 
AdH/PTM-VS1, VS2, VS3 and VS4 - simulation results of four variant scenarios in the AdH/PTM model, taking into account the deposition coordinates (x, y) of individual sediment fractions in subsequent zones of the dam reservoir and their diameters (d). 

File 3_Maps consists of 15 excel sheets:
NOV - OCT - sediment mineral particle (CLAY, SILT) distribution maps for the Dobczyce Reservoir, under the baseline and variant scenarios in JPEG format;
SMAG - sediment organic-mineral particle (SMAG) distribution maps for the Dobczyce Reservoir, under the baseline and variant scenarios.
DOI: 10.17632/ws3dm8pbdx
title: Ecological and nutritional functional trait data for agroforestry plant species in Fiji

description: This dataset documents the ecological and nutritional functional traits of plant species and their edible plant parts from 48 agroforests across Fiji, focusing on their ecological roles and contributions to human nutrition. It includes standardized taxonomic data, species origin, and traits that affect agroecological functions such as nutrient cycling and pest management. Ecological data collection utilized a range of sources including the TRY database and various botanical databases, with information from primary literature where necessary. Nutritional data covered 15 essential nutrients for humans, derived primarily from the Pacific Islands Food Composition Tables, with primary literature consulted where necessary. References are included within each file.
DOI: 10.6084/m9.figshare.12136944.v1
title: raw data for qPCR

description: Raw data for Figure 2<br>C(t) values, efficiency of amplification, and values calculated for normalised gene expression analysis for APOE. <br>All technical replicates and biological replicate samples included in the dataset.
DOI: 10.17632/c9h6ry4vx5
title: Data for: A Calculator for Easy Estimation of coverage with shRNA, CRISPR, and cDNA libraries

description: This is a video that instructs how to use the MALTA software to calculate library coverage.
DOI: 10.17632/ktmjkjh4n5
title: Water Hyacinth in Lake Tana

description: Biomass survey of water hyacinth helps to show major morphometric characters and biomass of the weed. Typically, the biomass of water hyacinth was collected using quadrats with a specific unit area placed over the plant mat (Robles et al., 2015).  Water hyacinth samples were collected once via quadrant having an area of 0.5m2. For this study, a destructive biomass estimation method was used to collect the samples. The samples of the weed were measured to estimate the morphometric characteristics of water hyacinth in the study area. Morphometric characteristics of a randomly selected single water hyacinth plant was measured from each quadrant (Robles et al., 2015). The data collection was held twice at October and May when the peak and down water hyacinth infestation occur, respectively. Tape meter was used to measure leaf length, root and shoot length of water hyacinth sample while leaf blade area of the weed was estimated via ImageJ 5.3 software. In addition, the weight of each quadrant was measured using weight scale to capture wet biomass of water hyacinth. According to Madsen (1993) water content of water hyacinth biomass can be dried with a minimum of 500C for considerable enough time. Hence, the weed was dried in an oven at 650C (Center and Spencer, 1981) for 48 hours to remove all the water from the water hyacinth.
DOI: 10.17632/zwb6njryf6
title: Data Penjualan SPBUN Bulan Januari 2020

description: Berikut ini adalah data untuk penjualan BBM Pertalite pada SPBU 18.288.066 pada Kabupaten Bengkalis periode 2016 - 2020
DOI: 10.6084/m9.figshare.13560548.v1
title: Data from: Method of place cell classification determines the population of cells identified

description: Data from manuscript "Method of place cell classification determines the population of cells identified".<br>Each zip file is one session, with the filename indicating the mouse name and the date of recording (i.e. mouse_date.zip). Each zip file contains a mat-file called 'Fall.mat'. This was generated by using Suite2P<sup>1</sup> on the recordings, which were recorded at 7.51 fps. Within this, F represents the fluorescence traces (ROIs by timepoints), and Fneu represents the neuropil fluorescence traces (ROIs by timepoints). We calculated the fluorescence using: F-0.7*Fneu. For more information on the Suite2P outputs see: https://suite2p.readthedocs.io/en/latest/outputs.html<br>The zip files also contain a mat-file called 'locomotion.mat'. This contains the location trace for each session, scaled between 0-1. The length of the track was 200 cm, so in order to get the location in cm, one can simply do: loco * 200. <br><br>1. Pachitariu, Marius, et al. "Suite2p: beyond 10,000 neurons with standard two-photon microscopy." <i>Biorxiv</i> (2017).