cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24050802.v1
title: Genetic control of MRI contrast using the manganese transporter Zip14

description: These are the primary data described in our paper titled "Genetic control of MRI contrast using the manganese transporter Zip14". The MRI data are organized into the following file hierarchy:Injected virus. The filename is structured: 'Capsid'-'Promoter'-Zip14-'Tag'_Injection-'BrainArea' Animal. 'M' denotes sex male and 'F' denotes sex female, followed by a numerical identifier. Timepoint. Imaging was performed over the course of weeks 'W' after injection. Images. <br><br>We strongly suggest using MIPAV to view the NIfTI format images. 'image_input' is the reconstructed MPRAGE image at each timepoint. Other files that may be included in each folder include output from ANTs registration of the Allen Institute Mouse Brain Atlas template and corresponding CCFv3 labels to the image and T1 mapping protocol-required images. Immunohistology data are included in the corresponding 'Animal' folder. We suggest using Fiji to view these .lsm, .czi, .nd2, and .tif images. Please contact us if you have any questions.
DOI: 10.6084/m9.figshare.25143719.v2
title: Phytotelmata-dwelling frog larvae show no defecation behavior: a unique adaptation to a closed aquatic environment

description: For organisms living in closed environments, fecal pollution is a significant concern. Amphibian larvae excrete their wastes as ammonia. Anuran larvae usually live in ponds or streams that contain excess clean water; therefore, the excremental ammonia is diluted and unlikely to be harmful. However, some species inhabit tiny, non-flowing water systems vulnerable to excremental pollution. We here report that the phytotelmata-dwelling larvae of Taiwanese tree frog <i>Kurixalus eiffingeri</i> resolve this problem by retaining feces in their gut until metamorphosis to avoid the toxic damage from ammonia. <i>K. eiffingeri</i> larvae feed on trophic eggs produced by mothers, but our experimental observation showed that they never produce feces until metamorphosis. We hypothesized that this behavior is functional to avoid ammonium pollution. Firstly, the rearing experiment showed that <i>K. eiffingeri</i> larvae produce almost no ammonia in the living water. Secondly, experimental exposure to high ammonia levels showed that <i>K. eiffingeri</i> had higher ammonia tolerance than other frogs. Taken together, our data show that <i>K. eiffingeri</i> evolved a unique sanitation strategy in ammonia excretion and tolerance that is adaptive in closed aquatic habitats. This is the first study to show the lack of excretion in the feeding larvae of amphibians.
DOI: 10.6084/m9.figshare.27434715.v1
title: Data for "Evidence for the acclimation of ecosystem photosynthesis to soil moisture"

description: Experimental data used for analysis in the manuscript titled "Evidence for the acclimation of ecosystem photosynthesis to soil moisture".
DOI: 10.17632/45gz4r28s2
title: Gestationally-dependent immune organization at the maternal-fetal interface

description: Datasets for Moore A and Vivanco Gonzalez N et al. (2021) Gestationally-dependent immune organization at the maternal-fetal interface. bioRxiv. This repository contains single-cell mass cytometry (CyTOF) datasets for mouse (C57BL/6J) peripheral blood and placentas collected from syngeneic pregnancies, from embryonic day 10.5 through 18.5. In addition, we included CSV files of downsampled maternal and fetal immune cells, which we used to carry out clustering analyses. The downsampled datasets have been quantile normalized and median intensities have been arcsinh, co-factor 5 transformed.
DOI: 10.6084/m9.figshare.12964424.v1
title: [2020-4-25] Upper Impoundment Drone Orthomosaic, Digital Surface Model, and Processing Report

description: This is the drone orthomosaic, digital surface model (DSM), and PhotoScan-generated report for the April 25, 2020 sampling date for the Evans et al. Sawyer Mill dam removal study. This data is for the upper impoundment study area on the Bellamy River in Dover, NH, USA. A DJI Phantom 3 Professional small unmanned aerial system was used to collect the aerial imagery. The imagery was processed in Agisoft PhotoScan Professional. A Topcon Hiper Lite+ was used to collect the survey data. <br>The products' XY is in WGS 84, and the vertical datum corresponds to NAVD88 in meters. Please see Alexandra's dissertation (University of New Hampshire, 2021) for additional information on the drone products.<br><br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
DOI: 10.6084/m9.figshare.16821439.v5
title: Genotyping data and population location for Quercus aliena and Quercus dentata

description: "Population location.xlsx" is the geographical location of the Quercus aliena and Quercus dentata. "SSR_ALL.txt" is the genotyping data for all 778 samples scored using Genemarker v. 2.2, then normalzed the score by FlexiBinv2 in TXT format.
DOI: 10.6084/m9.figshare.28830296.v1
title: Field records of actually constructed tunnels

description: field records of actually constructed tunnels
DOI: 10.6084/m9.figshare.4487321.v1
title: Seattle_Street_Clock_Database.xlsx

description: This spreadsheet contains three tables: Clocks, Owners, and Evidence- Clocks tab's name column and Owners tab's corporation column keys in Evidence.- Evidence is a list of every unique fact I have via newspaper, photograph, document, or otherwise about when a clock was in a particular location, and who owned it at that time. v1 has 1033 pieces of evidence.Please contact me if you have additions or find errors in my data. I will be refreshing this periodically. I constantly find new resources. Along with my friend Paul Middents we have proven the connection between many owners, and I know that there will be more discoveries to show which clocks were later owned by another jeweler.<br><br>A few notes on fields:<br>- In Evidence, "Var_Year" indicates a +/- value on the Source_Year. Empty means exact. 0 means it was the first year that the clock was at that location. - If the Source_Type is Photograph, Source_ID has a value, and there is no URL, then I have the photo on my harddrive but can't post it.- In Clocks, if the Unique field is Yes, then I'm sure that this clock cannot be matched with any other clocks in the list. There are 114 clocks in the list which is excessive. It should be down closer to 60.- There are a growing number of sign and facade clocks in the database. On the linked page I will maintain a list of open questions, and areas I know I need to work on.
DOI: 10.6084/m9.figshare.7883354.v1
title: gVCF_HG01054

description: 1000 Genomes gVCF mapped to hs37d5 for HG01054. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.17632/24fvmzpgtc
title: Mobile-Assisted Language Learning Dataset (2008-2020)

description: Mobile-Assisted Language Learning research and publication dataset, which was indexed by Scopus from 2008 to 2020. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/m3bg42knyj
title: Farm loan waivers

description: The data used in this research is publicly available. The authors have put an Excel file and a STATA do file for the replications of all results shown in the paper.
DOI: 10.17632/tp3xbw7dxs
title: Dataset and Studies' Characteristics (Prevalence of Antibiotics Prescription amongst Patients with COVID-19 and without COVID-19 in Low- and Middle-income Countries: A Systematic Review and Meta-Analysis)

description: data of a systematic review
DOI: 10.6084/m9.figshare.27222996.v1
title: <b>Optimal design of multi-biomaterials mixed extrusion nozzle for 3D bioprinting considering cell activity</b>

description: In this research, the flow and mixing process of SA solution in the mixing extrusion nozzle were simulated and analyzed by using finite element simulation software COMSOL and CFD method, as well, the effects of nozzle structure on the shear stress in the channel and mixing efficiency of the mixer were investigated.
DOI: 10.6084/m9.figshare.29016287.v1
title: TWI after adding FVC to the 30-meter DEM of the Loess Plateau

description: TWI after adding FVC to the 30-meter DEM of the Loess Plateau
DOI: 10.6084/m9.figshare.7931462.v1
title: gVCF_HG02561

description: 1000 Genomes gVCF mapped to hs37d5 for HG02561. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.17632/82s95xg96p
title: Investigation of illness acceptance, health perception and hopelessness levels in stroke survivors: A cross-sectional and correlational study

description: The data were analyzed with SPSS 21.0 software. The Kolmogorov-Smirnov test was used to test the normality of the scale scores. Since the data were not normally distributed, Mann-Whitney U test was used for the difference analysis of binary independent variables, and One-Way ANOVA and Kruskal-Wallis tests were used for the difference analysis of multiple variables (p&lt;0.05). When a significant difference was found in the ANOVA test, the LSD post hoc test was used to determine which groups the difference was between. Mann-Whitney U pairwise comparison test was used in the Kruskal-Wallis H test. Spearman's Rho correlation test was used to analyze the relationship between the scales. Confidence range was determined as 95% (p&lt;0.05). Linear regression analysis was used to determine the regression between variables (p&lt;0.05). Two regression models were developed by considering each of the values of acceptance and hopelessness as independent variables.
DOI: 10.17632/cchm8w64xd
title: Regulatory Compliance Theory of Diminishing Returns

description: These databases support the regulatory compliance theory of diminishing returns by clearly demonstrating in the studies conducted utilizing these data the plateau effect with regulatory compliance data when compared to program quality data in early child care and education programs.  These studies were conducted between 2013 and 2021.  These studies demonstrate the significance of substantial regulatory compliance and the impact it has on making licensing decisions.  These studies support the use of differential monitoring, key indicators and risk assessment methodologies.
DOI: 10.17632/xc4mzm52n7
title: matscan force recordings

description: time series matscan output by plantar region. Data collected in a controlled experiment to measure force profiles as a function of stride length for 10 human participants. The parameter file contains the peak magnitudes and periods for the force profiles as well as the physical parameters for each trial.
DOI: 10.6084/m9.figshare.10302053.v1
title: Original Site Frequency Spectrum (SFS) files for demographic analyses

description: The site frequency spectrum before correction for categories at low minor allele frequencies.<br>Adelie = Adelie penguin, <i>Pygoscelis adeliae</i>Eastern_rockhopper = eastern rockhopper penguin, <i>Eudyptes filholi</i>Fiordland_crested - Fiordland crested penguin, <i>Eudyptes pachyrhynchus</i>Chinstrap = Chinstrap penguin, <i>Pygoscelis antarctica</i>Emperor = Emperor penguin, <i>Aptenodytes forsteri</i>Gentoo = Gentoo penguin, <i>Pygoscelis papua</i>King = King penguin, <i>Aptenodytes patagonicus</i>Northern_rockhopper = Northern rockhopper penguin, <i>Eudyptes moseleyi</i>Macaroni_royal = Macaroni penguin and Royal penguin, <i>Eudyptes chrysolophus chrysolophus</i> and <i>Eudyptes chrysolophus schlegeli</i>Western_rockhopper = Western rockhopper penguin, <i>Eudyptes chrysocome</i>
DOI: 10.6084/m9.figshare.14573046.v1
title: SAR324 pangenome - Anvio files

description: files computed using Anvi’o v5.1associated with article;Metapangenomics reveals depth-dependent shifts in metabolic potential for the ubiquitous marine bacterial SAR324 lineage; Boeuf et al. 2021; Microbiome<br>
DOI: 10.6084/m9.figshare.14865133.v1
title: Raw Data from Consistent inconsistencies in braking: a spatial analysis

description: The raw data used in our analyses
DOI: 10.6084/m9.figshare.28969778.v2
title: Processed data and statistics

description: Each sheet contains data and statistics generated for the research. Refer to the table legends bellow.<b>Supplementary Table S1. </b>Core microbiome in gut.<b>Supplementary Table S2. </b>Core microbiome in lung.<b>Supplementary Table S3.</b> Adjacency matrix of gut and lung microbiome in healthy controls.<b>Supplementary Table S4.</b> Adjacency matrix of gut and lung microbiome in patients with TB before treatment.<b>Supplementary Table S5.</b> Adjacency matrix of gut and lung microbiome in patients with TB after treatment.<b>Supplementary Table S6.</b> Node score of gut and lung microbiome in healthy controls.<b>Supplementary Table S7.</b> Node score of gut and lung microbiome in patients with TB before treatment.<b>Supplementary Table S8.</b> Node score of gut and lung microbiome in patients with TB after treatment.<b>Supplementary Table S13. </b>Significant results from differential abundance analysis of gut microbiota between HCs and patients with TB before treatment in the gut. Log fold change (logFC) represents the relative abundance in patients with TB compared to healthy controls. The logFC, p-values, and false discovery rates (FDR) were obtained from ANCOM-BC, and linear discriminant analysis (LDA) scores were calculated using LEfSe.<b>Supplementary Table S14. </b>Significant results from differential abundance analysis of gut microbiota between HCs and patients with TB before treatment in the lung. The logFC represents the log-transformed expression values of patients with TB relative to those of healthy controls (HC). The logFC, p-values, and false discovery rates (FDR) were obtained from ANCOM-BC, while the linear discriminant analysis (LDA) scores were derived from LEfSe.<b>Supplementary Table S15</b> Significant results from differential abundance analysis of gut microbiota between patients with TB before and after treatment in the gut. The logFC represents the log-transformed expression values of patients with TB after treatment relative to those of patients with TB before treatment. The logFC, p-values, and false discovery rates (FDR) were obtained from ANCOM-BC, while the linear discriminant analysis (LDA) scores were derived from LEfSe.<b>Supplementary Table S16. </b>Significant results from differential abundance analysis of gut microbiota between patients with TB before and after treatment in the lung. The logFC represents the log-transformed expression values of patients with TB after treatment relative to those of patients with TB before treatment. The logFC, p-values, and false discovery rates (FDR) were obtained from ANCOM-BC, while the linear discriminant analysis (LDA) scores were derived from LEfSe.
DOI: 10.17632/6k6fbzc6vv
title: Vibration of rolling bearings under widely varying speed conditions

description: This dataset contains observations of vibration of test stand under widely varying speed conditions. For more information please see docx below.
DOI: 10.17632/brd8j5fpnp
title: Data
DOI: 10.17632/hzvspssp5w
title: Miz1 Restricts Hepatocyte-driven Inflammation Independently of Its Transcriptional Activity in Liver Tumorigenesis

description: All WB raw data of the paper titled "Miz1 Restricts Hepatocyte-driven Inflammation Independently of Its Transcriptional Activity in Liver Tumorigenesis"
DOI: 10.17632/r5fdtcw333
title: Data for: Nutrient and iron cycling in a modern analogue for the redoxcline of a Proterozoic ocean shelf

description: The file contains the supplemental data tables associated with Rico and Sheldon Chemical Geology paper entitled "Nutrient and iron cycling in a modern analogue for the redoxcline of a Proterozoic ocean shelf." Any further requests for information or data can be directed to Nathan Sheldon (nsheldon@umich.edu).
DOI: 10.17632/s42kkc5hsw
title: Datasets

description: METR-LA, PeMSD3, PeMSD4, and PeMSD7
DOI: 10.17632/sxpfkty7dw
title: Raw data related to DELTEX2 C-terminal domain recognizes and recruits ADP-ribosylated proteins for ubiquitination

description: Crosstalk between ubiquitination and ADP-ribosylation regulates spatio-temporal recruitment of key players during DNA damage repair (DDR). The Deltex family of ubiquitin ligases (DTX1–4 and DTX3L), are characterized by a RING domain followed by a C-terminal domain (DTC) of unknown function; four Deltex proteins have other domains or partner proteins for binding poly-ADP-ribose (PAR), suggesting a role for these proteins in mediating crosstalk between ubiquitination and ADP-ribosylation. Here, we use two label-free mass spectrometry techniques to identify substrates of human DTX2 and uncover a new ADP-ribose-binding domain that facilitates PAR-dependent ubiquitination.
DOI: 10.6084/m9.figshare.16635013.v1
title: Waveforms.7z

description: cut waveforms for shear wave splitting
DOI: 10.6084/m9.figshare.22434445.v1
title: Datasets-for-CNN-evaluation

description: Datasets for CNN evaluation
DOI: 10.6084/m9.figshare.24790842.v4
title: Verifying Opacity of Discrete-Timed Automata Artifact

description: Opacity is a powerful confidentiality property that holds if a system cannot leak secret information through observable behavior. In recent years, time has become an increasingly popular attack vector. The notion of opacity has therefore been extended to timed automata (TA). However, the verification of opacity of TA has been proven to be undecidable for the commonly used dense time model. To make the problem decidable, state of the art approaches consider weaker notions of opacity or heavily restrict the class of considered TA, resulting in unrealistic threat models.<br>We address the problem of verifying opacity of TA without restrictions. For this purpose, we consider a discrete time setting. We present a novel algorithm to transform TA to equivalent finite automata (FA) and then use known methods to verify opacity of the resulting FA. To improve the efficiency of our algorithm, we use a novel time abstraction that significantly reduces the state space of the resulting FA, improving the scalability of our approach. We validate our method using randomized systems, as well as four case studies from the literature showing that our approach is applicable in practice.<br><br>We provide a VM with all software pre-installed to run our evaluation.<br>The code is also provided in our gitlab repository: https://gitlab.com/julianklein/opacity-verification-of-discrete-timed-automataThe VM has commit b3b18a0f8bb071a6c0e0b29be5c11e5a1caa4c84 (on main branch) installed.
DOI: 10.17632/2w5htc6zg6
title: Data for: Development of a land use regression model for black carbon using mobile monitoring data and its application to pollution-avoiding routing

description: The file land_use_features_BC.csv is csv-file containing the features used for building the land use regression model at each Point Of Interest (POI), as well as the alpha-trimmed mean (background corrected) black carbon concentrations at that POI. Note that the background has been subtracted, so if an estimate of the 'true' mean BC concentration is needed, 2.3 µg/m³ should be added to these values. ** Import data into R-software using the following instruction: theData = read.table("land_use_features_BC.csv", sep=",", header=TRUE) ** description of variables: - each row represents one point of interest (POI) - description of variables: - POI_number: reference number - BC_concentration_background_corrected: background corrected black carbon concentration at that POI. Reported values are alpha-trimmed means that are backgrond-corrected (see paper) - geometry_lambert_coordinates: Geospatial coordinates of the POIs (using the Lambert 72 coordinate system) - distance_motorway: distance (m) of POI to nearest motorway - nr_houses_100m: number of houses within a radius of 100m around the POI - ..
DOI: 10.17632/jmcdmnyh2s
title: Kenya Nairobi Securities Exchange (NSE) All Stocks Prices 2022

description: This compilation of historical daily stock market price data relates to the Kenyan Nairobi Securities Exchange (NSE) for year 2022 (Jan-Dec). This data is valuable for any machine learning algorithm that needs data (training, validation, testing). This compilation develops on an earlier dataset (2008-2012) that was initially compiled as part of a research project to predict next day stock price, based on the previous five days, using Artificial Neural Networks (ANN). This initial research [1],[2] tested 6 stocks [3] using ANN of configuration 5:21:21:1. The data was then enhanced as a new compilation of all stocks for the period 2007-2012 [4].

This new dataset augments the NSE dataset for 2007-2012 [4], 2013 to 2020 [5] and that for 2021 [6]. The method of data compilation has remained as done for all the other datasets by scrapping from a publicly accessible website [7] licensed by NSE. The processing involves exporting the raw web data to spreadsheets, then cleaning up by removal of unnecessary data elements such as HTML tags and other graphics that cannot be converted to text.

Just like the previous compilations, each stock data row has the following 13 data columns (1) Date (2) Stock Code (3) Stock Name (4) 12-month Low price (5) 12-month High price (6) Day's Low price (7) Day's High price (8) Day's Final Price (9) Previous traded price (10) Change in price value (11) Change in price % (12) Volume traded (13) Adjusted price. One additional CSV file is also provided to show market sector that each stock belongs to. The 3 column headings for this additional CSV are: (1) Market sector (2) Stock Code (3) Stock Name.

This additional dataset provides researchers with an even larger dataset (2007-2022) of stocks market data including market sector information for bigger opportunities of data analysis and usage in machine learning research.

List of data files on this dataset: 
NSE_data_all_stocks_2022.csv 
NSE_data_stock_market_sectors_2022.csv

References: 
[1] Wanjawa, B. W. (2014). A Neural Network Model for Predicting Stock Market Prices at the Nairobi Securities Exchange (Dissertation, University of Nairobi). 
[2] Wanjawa, B. W., & Muchemi, L. (2014). ANN model to predict stock prices at stock exchange markets. arXiv preprint arXiv:1502.06434. 
[3] Wanjawa, Barack (2020), “Nairobi Securities Exchange Prices 2008-2012 for 6 selected stocks”, Mendeley Data, v3, http://dx.doi.org/10.17632/95fb84nzcd.3 
[4] Wanjawa, Barack (2020), “Nairobi Securities Exchange All Stocks Prices 2007-2012”, Mendeley Data, v1, http://dx.doi.org/10.17632/5hk4zw32f5.1 
[5] Wanjawa, Barack (2021), “Nairobi Securities Exchange (NSE) All Stocks Prices 2013-2020”, Mendeley Data, V2, doi: 10.17632/73rb78pmzw.2 
[6] Wanjawa, Barack (2022), “Nairobi Securities Exchange (NSE) Kenya - All Stocks Prices 2021”, Mendeley Data, V5, doi: 10.17632/97hkwn5y3x.5
[7] Synergy Systems Ltd. (2023). MyStocks. Retrieved Jan 31, 2023, from http://live.mystocks.co.ke/