cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4028274.v1
title: Computational methods for direct cell conversion

description: Directed cell conversion (or transdifferentiation) of one somatic cell-type to another can be achieved by ectopic expression of a set of transcription factors. Since the experimental identification of transcription factors for transdifferentiation is extremely time-consuming and expensive, there are still relatively few transdifferentiations achieved in comparison to the number of human cell-types. However, the growing volume of transcriptional data available and the recent introduction of data-driven algorithmic approaches that predict factors for transdifferentiation holds great promise for accelerating this field. Here we review those computational methods whose in-silico predictions have been experimentally validated, highlighting differences and similarities. Our analysis reveals that the factors predicted by each method tend to be different due to varying source cells used, gene expression quantification and algorithmic steps. We show these differences have an impact on the regulatory influences downstream, with some methods favoring transcription factors regulating developmental progression and others favoring factors regulating mature cell processes. These computational approaches offer a starting point to predict and test novel factors for transdifferentiation. We argue that collecting high-quality gene expression data from single-cells or pure cell-populations across a broader set of cell-types would be necessary to improve the quality and consistency of the in-silico predictions.
DOI: 10.6084/m9.figshare.12366956.v3
title: DECM Annotated Corpus

description: The DECM Corpus is a digital corpus of the texts of Relaciones Geográficas de Nueva España (the Geographic Reports of New Spain) with different versions, including a machine ready version, a gold standard annotated dataset, and an automatically annotated version ready for text mining and machine learning experiments.This is the version of the entire RG corpus automatically annotated using the ML models trained with the DECM Gold Standard Corpus. The files are available in JSON and TSV format, and it also contains the file for the DECM Ontology. This corpus can be further used for quantitative and qualitative research, as well as advanced analyses using text mining techniques, corpus linguistics and other methods such as Geographical Text Analysis. <br>
DOI: 10.6084/m9.figshare.1200159.v1
title: Lab 3 - Distance based dataset

description: In this experiment, transect measuring tape was used to record the distance of any visible bird sightings. The distance was recorded in meters. Five trials were done for each woodlot and grassland where the transect tape was laid down and extended to about 20m. The frequency and the distance of bird sightings were noted down based on the observer’s standing location on the transect tape. Bird’s specie was also noted down based on visible observation. If a bird couldn’t be identified, ‘unknown specie’ was recorded in the data. Wind speed was estimated to be 4 based on Beaufort scale which ranges from 0 (calm) to 14 (hurricane force). This experiment was done in groups of 3-4. Our group members included Sana Jamal, Ferinaz, Afraa Tarafdar and Maham Anees (me). The data was collected on Friday October 3, 2014 on Keele campus of York University between 2:30 pm to 5:00 pm. The temperature was about 16ᵒC and it was raining.
DOI: 10.6084/m9.figshare.1211954.v23
title: NCDC-CICSNC SDSMM Template

description: This data stewardship maturity assessment template is provided for users to make preliminary assessment of their datasets, utilizing the latest NCDC/CICS-NC scientific data stewardship maturity matrix.
DOI: 10.6084/m9.figshare.28952921.v1
title: ESTRÉS, EL INVISIBLE ADVERSARIO DE LOS MISIONEROS

description: Este trabajo explora cómo el misionero enfrenta circunstancias que lo exponen al estrés, generando desgaste emocional, psicológico y físico. Factores como el choque cultural, el aprendizaje del idioma y la presión ministerial contribuyen a sentimientos de ansiedad, inseguridad y baja autoestima. Reconocer las fuentes de estrés y anticiparlas permite al misionero y a sus líderes prepararse mejor, prevenir el agotamiento y fortalecer la adaptación a nuevos contextos.
DOI: 10.6084/m9.figshare.15169662.v1
title: Adaptative strategies of sponges to deoxygenated oceans - Datasets and analyses

description: Datasets and analyses for the paper: Adaptative strategies of sponges to deoxygenated oceans
DOI: 10.6084/m9.figshare.20488362.v4
title: dataset and materials

description: Raw dataset and materials
DOI: 10.6084/m9.figshare.25106006.v1
title: 4S+1P, 4S tremor detections

description: Catalog of 15,986 southern Vancouver Island tremor detections (4S) or 4,851 (4S+1P) in hypoDD .event format: YEAR MONTH DAY HOUR MINUTE SECOND LAT LON DEPTH MAGNITUDE 0 0 0 EVENTID The "4S" data were generated using four S-wave windows from stations PGC, SILB, SSIB, and KELB/KLNB, and the "4P" data were generated using an additional station, SNB, for the P-wave. The Olympic test LFE locations are given in olympic_test.lfe. This file includes the LFE templates within 13 km of the JDF-2 profile, with the columns given as: X-coord along profile, Depth, Projection distance, CDP number, Lat, Lon
DOI: 10.6084/m9.figshare.27682983.v1
title: Source data

description: Source dada for "Efficient green InP-based QD-LED by controlling electron injection and leakage". <b>DOI :</b><b> </b>10.1038/s41586-024-08197-z<br>
DOI: 10.6084/m9.figshare.6265433.v1
title: Patient07

description: Male Patient with 197 slice of pulmonary embolism CT-Angiography.
DOI: 10.17632/7sjvfm4stm
title: Rainfall variable data from meteorological station in Shibantang catchment from 1965 to 2021

description: The dataset includes rainfall erosivity, rainfall and 15 extreme precipitation indices from meteorological stations around Shibantang catchment in Yeji River Basin, Qianxi City, Guizhou Province during 1965-2021.
DOI: 10.6084/m9.figshare.19959839.v2
title: Wheelchair Obstacle Detection Dataset (WODD)

description: Wheelchair Obstacle Detection Dataset (WODD) for sildwalks with 9 classes and
DOI: 10.6084/m9.figshare.20469156.v2
title: Modeling spatial distributions of Amah Mutsun priority cultural plants to support Indigenous cultural revitalization

description: Datasets used and produced for the manuscript entitled Modeling spatial distributions of Amah Mutsun priority cultural plants to support Indigenous cultural revitalization, published in Ecosphere: https://doi.org/10.1002/ecs2.4374. All of the predictor datasets are publicly available with those sources and publications properly cited in the manuscript linked above. The code used in this analysis can be found at the following repository: https://github.com/annietaylor/model_cultural_plants. All the raw non-spatial data as well as the spatial datasets published are made available here in this figshare repository. The remainder of the spatial datasets created in this work are considered sensitive and cannot be provided publicly. These datasets may be requested through the Amah Mutsun Tribal Band's Tribal Council as they are considered confidential to the Tribe. Requests to access the sensitive datasets should be directed to Annalise Taylor, annalisetaylor@berkeley.edu.
DOI: 10.6084/m9.figshare.27115363.v1
title: Ethical Standards Survey Data Survey#2

description: This dataset corresponds to the second survey administered.
DOI: 10.6084/m9.figshare.27310764.v2
title: <b>Dataset for Multimodal Hate Speech Detection: A Novel Deep Learning Framework for Multilingual Text and Images</b>

description: Furqan Khan Saddozai1, Sahar K Badri2, Daniyal Alghazzawi2, Asad Khattak3, and Muhammad Zubair Asghar1*Gomal Research Institute of Computing (GRIC), Faculty of Computing, Gomal University, D.I.Khan (KP), PakistanInformation Systems Department, Faculty of Computing and Information Technology, King Abdulaziz University, 21589, Jeddah, Saudi ArabiaCollege of Technological Innovation, Zayed University, Abu Dhabi Campus, 144534,Abu Dhabi, UAE<b>Dataset Description</b>The Multimodal Multilingual Hate Speech 11K (MMHS11K) Dataset consists of 11,000 labeled Urdu Tweets with English translation, each categorized as either 'Hate' and 'No-Hate'. The dataset is divided into training (MMHS11K_train.xlsx ) and test (MMHS11K_test.xlsx ) files. The training file contains 8,800 records with an equal distribution (i.e. 4400) of 'Hate' and 'No-Hate' classes. The test file contains 2,200 records with 1,100 'Hate' and 1,100 'No-Hate' sample. Each file contains six columns:Tweet_Id: Represents the unique identifier of the corresponding tweet.Text: Contains the textual content of the tweet in Urdu.Text (English): Provides the English translation of the corresponding Urdu tweet.Image_Text: Displays text extracted from images in Urdu. If no text is extracted, the value 'NIL' is used.Image_Text (English): Contains the English translation of the corresponding Image_Text value. If Image_Text is 'NIL', this column also shows 'NIL'.Label: Indicates the classification of the multimodal multilingual tweet as either 'Hate' or 'No-Hate'The dataset contains two folders:MMHS11K_RGB_train.rar: This folder holds the training images in RGB format. It contains two subfolders: Hate and No-Hate. For each tweet in the MMHS11K_train.xlsx file, the corresponding image is stored in the appropriate subfolder (Hate or No-Hate) within the MMHS11K_RGB_train folder, using the tweet's Tweet_Id as the filename. For example, the image for Tweet_Id = 1596192893743796224 is stored in the No-Hate subfolder of MMHS11K_RGB_train, as this tweet is labeled as No-Hate.MMHS11K_RGB_test.rar: This folder contains the test images in RGB format. It also includes two subfolders: Hate and No-Hate.<b>Other Information</b>Published in: PeerJ Computer Science<br>
DOI: 10.6084/m9.figshare.29061500.v2
title: araon_experiments

description: Ionospheric scintillation indices data by shipborne experiment (Korean icebreaker, Araon) in 2021.Raw data of scintillation receiver onboard Araon for specific date in 2021.Aron sensors' data (navigation sensor and motion sensor) data in 2021.
DOI: 10.6084/m9.figshare.4810804.v1
title: European tree mortality information

description: This dataset provides consistent European tree mortality information from 2002 to 2012.Description of dataset:id_plot ... ID of plot<br>lat_MODIS ... latitude of centerpoint of corresponding cell of MODIS grid, in degrees using WGS84, accuracy 1 km<br>lon_MODIS ... longitude of centerpoint of MODIS cell, see above<br>id_plot ... ID of tree<br>year ... year of observation of trees status<br>species ... tree species group of tree: 1 pioneer conifers, 2 shade tolerant conifers, 3 mediterranean conifers, 4 fast growing deciduous, 5 light demanding broadleaf, 6 shade tolerant broadleaf, 7 evergreen broadleaf, 9 unclassified<br>age ... age class of forest stand: 1 0-20 years, 2 21-40 years, 3 41-60 years, 4 61-80 years, 5 81-100 years, 6 101-120 years, 7 &gt;120 years<br>status ... status of tree: 0 alive, 1 dead<br><br>The file contains processed results derived using tree data from the ICP Forests database with falsified locations centered using the grid system of MODIS satellite data. For access to the original data please contact the data holder, ICP Forests (http://icp-forests.net/).<br><br>This analysis is based on data collected by partners of the official UNECE ICP Forests Network (http://icp-forests.net/contributors). Part of the data was co-financed by the European Commission (data received on 05.12.2015).<br>For details see the corresponding scientific publication.<br>Neumann, M., Mues, V., Moreno, A., Hasenauer, H., Seidl, R. (2017). Climate variability drives recent tree mortality in Europe. Global Change Biology. 10.1111/gcb.13724
DOI: 10.6084/m9.figshare.12221069.v1
title: Raw qPCR data for Spiroplasma (dnaA) and D. hydei (rp49) quantification

description: Roche LightCycler® 480 Instrument, 384-well output file, with 3 technical triplicates for each biological sample.<br>This file is an input for the script implementing Pfaffl Method to raw, quality checked Cp values (qPCR threshold cycles) from the Roche LightCycler® 480 Instrument, 384-well, with technical replicates for each sample.<br>Data includes two positive controls for QC (SpiroCTR & 25.1old).<br>Negative controls were removed manually at the melting curve analysis step (all showed no signs of amplification).<br>For details of output file format, see manufacturers instructions <br>http://icob.sinica.edu.tw/pubweb/bio-chem/Core Facilities/Data/R401-core/LightCycler480 II_Manual_V1.5.pdf<br><br><br>
DOI: 10.6084/m9.figshare.25103738.v2
title: <b>Metadata for the article "</b><b>Interplay of biotic and abiotic factors shapes tree seedling growth and root-associated microbial communities"</b>

description: Root-associated microbial communities can alleviate plant abiotic stresses, thus potentially supporting adaptation to a changing climate during range expansion. While climate change is extending plant species fundamental niches northward, the distribution and colonization of mutualists (e.g., arbuscular mycorrhizal fungi) and pathogens may constrain plant growth and regeneration. Yet, the degree to which biotic and abiotic factors impact plant performance and associated microbial communities at the edge of their distribution remains unclear. In this study, we used a combination of root microscopy and amplicon sequencing to characterize tree root microbial communities (soil and root mycorrhizae, bacteria, and fungi) of sugar maple seedlings. We also explored the affect of abiotic and biotic factors on root microbial communities and their relationship with seedling growth along two elevation gradients in Quebec, Canada.<br>Metadata:comm_16S_2023: Bacteria ASV table with sequence counts per sample comm_ITS_2023: Fungi ASV table with sequence counts per sample comm_AMF_2023: Arbuscular mycorrhiza fungi (AMF) ASV table with sequence counts per sample taxa_16s_2023: Bacteria taxonomy taxa_ITS_2023: Fungi taxonomytaxa_AMF_2023: AMF taxonomy fungi_guild_meg: Table containing functional assignments for fungi described from one of the elevation gradientsfungi_guild_sut: Table containing functional assignments for fungi described from one of the elevation gradientsMetadata_clean_2023: Table containing information on the variables used in the modelling. Contains numerical data behind Figure 2 in the article, such as seedling annual growth (ann_growth) and elevation (alt).
DOI: 10.6084/m9.figshare.28904894.v2
title: Key data elements in registers and summary forms on postpartum and postabortion family planning

description: The dataset contains the key data elements for postpartum and postabortion family planning indicators that are available in routine registers (antenatal care, maternity/delivery care, postnatal care, postabortion care, and family planning register)<b><i> </i></b>from 18 countries as of 2023/2024.
DOI: 10.6084/m9.figshare.7130990.v1
title: Detection of horizontal root fracture using four different protocols of cone-beam computed tomography

description: The purpose of this study was to analyze four different cone-beam computed tomography (CBCT) protocols to identify horizontal root fractures (HRF) in endodontically treated teeth, with or without the presence of a metallic post. Thirty extracted single-rooted human premolars were treated endodontically. Afterwards, an observer induced a horizontal fracture in 15 teeth. Each tooth was inserted in an empty mandibular socket and submitted to a computed tomography scan taken with and without the metallic post. The acquisition followed four different protocols, with different fields of view (FOV) and voxel sizes, as follows: FOV 6X16 cm/0.2 mm voxel; FOV 6X16 cm/0.25 mm voxel; FOV 8X8 cm/0.2 mm voxel; FOV 8X8 cm/0.25 mm voxel. Two observers checked all the acquisitions within a two-week interval, and the values of sensitivity, specificity, accuracy and kappa were calculated. The sensitivity, specificity and accuracy values were better for the 8X8 cm/0.2 mm and 16X6 cm/0.25 mm protocols, ranging from 0.60 to 0.86 and 0.53 to 0.80, respectively. The intra- and interobserver concordance ranged from 0.65 to 0.72. The protocols where FOV and voxel were proportional showed better results. The 8x8 cm/0.2 mm protocol had the least interference from the metallic artifact. All four protocols showed a decline in values in the presence of the metallic artifact.
DOI: 10.17632/dwnb9fspdn
title: Data for: Banking Crises and Exports: Lessons from the Past

description: This dataset and do file allow replicating the results of the paper Banking Crises Banking Crises and Exports: Lessons from the Past. This paper analyzes the impact of banking crises on manufacturing exports, exploiting the fact that sectors differ in their needs for external financing. Relying on data from 160 developed and developing countries during 1970-2012, we analyze 147 banking crisis episodes and separate their impact on export growth from the impact of other exogenous shocks (e.g., demand shocks, exchange rate shocks). Our findings show that during a crisis, the exports of sectors more dependent on external finance grow significantly less than other sectors. However, this result holds only for sectors that depend on banking finance as opposed to interfirm finance (i.e., trade finance or trade credit). For sectors that depend heavily on banking finance, the effect of banking crises on exports is robust, additional to external demand shocks, and not driven by exchange rate shocks. The database includes trade data from WITS for 1976-2012 and from NBER for 1970-1975 at the ISIC rev. 2 3-digits level, crisis data from Laeven and Valencia (2013), a measure of external dependence based on Rajan and Zingales (1998), Trade Credit from Fisman and Love (2003) and Tangibility from Kroszner et al. (2007). A README file is included, explaining how to obtain the results.
DOI: 10.17632/rnmxfv6pyn
title: Future Weather Files (under Climate Change Scenarios) to Support Building Energy Simulation

description: The future weather files are synthesized based on the methodology presented in the research project on the impact of climate change on building energy performance. These weather files (in EPW format) are intended to be used for building energy simulation and performance evaluation. The team provides here future weather files for 30 years (from 2020 to 2049) for four Representative Concentration Pathways (RCP2.6, 4.5, 6.0, and 8.5) used in the Fifth IPCC (Intergovernmental Panel on Climate Change) Assessment. Due to limited resources, Canada - Montreal (WMO 716270) is the first set of data available. Weather files for other locations and scenarios will gradually be added. If you have any pressing needs, you are welcome to contact the team to explore the possibility. The future weather files are synthesized based on a workflow developed by the team. A full explanation is presented in our article. The following is a brief description of the workflow: The effect of climate change is based on the General Circulation Models (GCM). First, a bias-correction technique, known as the quantile-quantile method, is applied to remove the bias in the data in order to adopt GCMs to a specific location. A hybrid classification-regression model is used to downscale the bias-corrected GCM data to synthesize future weather data at an hourly resolution for building energy simulation. The proposed workflow enables users to use a set of observed weather data by finding similar patterns rather than artificially generating data. However, in cases where the future GCM data show temperatures outside the range of the observed data, a trained regression model is applied to synthesize hourly weather data. If readers are interested in the topic, please browse through related articles of the team: Generating future weather files under climate change scenarios to support building energy simulation — a machine learning approach https://doi.org/10.1016/j.enbuild.2020.110543 A systematic approach in constructing typical meteorological year weather files using machine learning https://doi.org/10.1016/j.enbuild.2020.110375 Cooling and heating energy performance of a building with a variety of roof designs; the effects of future weather data in a cold climate https://doi.org/10.1016/j.jobe.2018.02.001 Energy performance of cool roofs under the impact of actual weather data https://doi.org/10.1016/j.enbuild.2017.04.006 Version History: Version 1: WMO 716270, RCP 4.5 only Version 2: WMO 716270, RCP 2.6, 6.0, 8.5 added Disclaimer: The weather files provided here are synthesized based on the novel workflow developed by the research team with limitations and based on assumptions. A full description of the workflow is presented in our articles. We do not make any warranties about the completeness, reliability, and accuracy of the data. Any use of the data is strictly at your own risk, and we will not be liable for any losses and damages in connection with the use.
DOI: 10.17632/v9shs4xh2m
title: Test-Retest reliability testing of Stroke Specific Gait assessment scale - A Cross-Sectional study

description: This data contains test-retest reliability testing of stroke specific gait assessment scale 
 Gait disturbances are a common and serious problem for stroke survivors, affecting about 80% of patients. It impairs the patient's general quality of life and limits their capacity to move freely. The Stroke-Specific Gait Assessment Scale (SSGAS) was created to meet the need for a tool that specifically measures the unique gait problems caused by stroke. The SSGAS must be demonstrated to be dependable, especially in test-retest dependability, to be genuinely effective. The scale may not be as helpful in clinical practice or research without solid evidence of its test-retest reliability, which could result in inaccurate assessments and less effective rehabilitation.By confirming its reliability, the SSGAS can be confidently used to assess and monitor gait problems in stroke survivors, leading to more precise evaluations and better, more personalized rehabilitation strategies.This study aims to evaluate the Stroke-Specific Gait Assessment Scale (SSGAS) test-retest reliability. By examining the consistency of results over multiple administrations, the study seeks to confirm the scale’s reliability in measuring gait disturbances in stroke survivors. Establishing strong test-retest reliability will ensure the SSGAS is a stable and accurate tool for use in clinical practice and research, supporting effective assessment and rehabilitation. two assessment test and retest will be done done Both assessments will be performed using standardized procedures to minimize variability. The test-retest reliability will be analysed by calculating correlation coefficients, specifically the Intraclass Correlation Coefficient (ICC), to determine the stability of the SSGAS scores over time. The results were analysed, evaluated, and compared using the statistical software package for social sciences (SPSS) version 26, with a total of 51 participants assessed for the study. For reliability testing, the Cronbach's alpha and ICC values were calculated, resulting in 0.99 for test-retest reliability. The Shapiro-Wilk Test was used to evaluate the data's normality. Spearman's ρ produced an impressive value of 0.995 during the thorough evaluation of test-retest reliability, showing a high degree of correlation. Additionally, Cronbach's alpha, which measures internal consistency, showed a score of 0.99. Furthermore, it was found that the test-retest reliability ICC value was 0.99, indicating good dependability. Spearmen’s rho values for test-retest were 0.995, respectively, which showed a very strong correlation. This study evaluated that there was a strong relationship shown by the Spearman rho value, which was 0.995, along with a 0.001 P value.The SSGAS used in this study shows good test-retest reliability and is recommended for usage in academic and clinical contexts to diagnose and assess stroke patients' gait.