cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zxkg43jsx8
title: Mapped drainage ditches in forested landscapes

description: This data contains 1607 km of manually digitized ditch channels from Sweden and high-resolution digital elevation models for the same areas. The data was digitized in 10 regions that were dominated by forests. Each region was selected to achieve a good representation of different landscape properties concerning topography, soil conditions, runoff, land use, and tree species. A compact laser-based system (Leica ALS80-HP-8236) was used to collect LiDAR data from an aircraft flying at 2888 -3000 m. The ALS point clouds have a last and only return density of 1-2 points m-2 and were divided into 55 tiles with the size of 2.5 x 2.5 km each and covering a total of 344 km2. DEMs with 0.5 m resolution were created from the LiDAR point clouds using a tin gridding approach implemented in Whitebox tools 1.4.0 (https://github.com/jblindsay/whitebox-tools).

The data were digitized in a collaboration between the Swedish university of agricultural sciences: https://www.slu.se/ and the Swedish Forest Agency: https://www.skogsstyrelsen.se/
ditchlines.zip contains vector lines of the digitized ditch channels.
vectorfiles.zip contains polygons where the ditches were digitized and the extent of the raster tiles.
rastertiles.zip contains raster tiles with a resolution of 0.5 m covering the same areas.
DOI: 10.6084/m9.figshare.19780558.v2
title: Table 1. Genome sequence context for JMJD1C SNPs associated with bovine congestive heart failure (BCHF)

description:   
<strong>Background:</strong>  The power and resolution of genome-wide association studies (GWAS) may be enhanced with increased DNA marker density and reduced ascertainment bias of whole genome sequence (WGS) technology compared to that of bead-based microarrays.  However, validation of WGS marker associations may be challenging since preexisting assays for these variants will not always be available.  Here, our aim was to provide preliminary molecular, genetic, and statistical information for JMJD1C variants associated with bovine congestive heart failure (BCHF) for the purpose of assay development.
<strong>Methods: </strong> A WGS data set with greater than 10-fold genome coverage per animal was generated from 102 BCHF matched case-control pairs.  Paired nominal data from 11 million single nucleotide polymorphisms (SNPs), filtered for frequency and quality, were analyzed with McNemar’s test and sorted genome-wide by false discovery rate (FDR).
<strong>Results:</strong>   A 45 kb region spanning introns 2 and 3 of JMJD1C on chromosome 28 was identified as being significantly associated with BCHF with a FDR q-value less than 0.05.  This association was in addition to those in ARRDC3 and NFIA previously reported (Heaton et al. F1000Research 2022, 11:385).  Nine linked SNPs in JMJD1C comprised exactly two haplotypes with an average minor allele frequency (MAF) of 0.005 and 0.132 in the cases and controls, respectively.  Two copies of the major SNP alleles were associated with disease development, while one or two copies of the minor SNP alleles were not.   There were 25 informative pairs for each of the nine linked SNPs, and the “protective” allele was absent from all 25 diseased animals in these informative pairs (McNemar’s b/c = 0/25, OR = 0, mid p-value = 3.0 x 10E-8, FDR = 9.8 x 10E-3).
 <strong>Conclusion:</strong> These preliminary results indicate that selection for the protective JMJD1C  alleles may be useful in reducing BCHF in severely affected herds, however genotype assay development will be needed for further validation.   The marker details are publicly available for use without restriction (https://doi.org/10.6084/m9.figshare.19780558.v1).
DOI: 10.6084/m9.figshare.21494421.v1
title: Bird species occupancy trends in southeast Mexico over 1900-2020: Accounting for sighting record absences

description: Data for 'Bird species occupancy trends in southeast Mexico over 1900-2020: Accounting for sighting record absences'
DOI: 10.17632/sgh484jxzy
title: Batik Nitik 960

description: Batik is one of the Indonesian cultural heritages which have noble cultural and philosophical meaning in every motif. This article introduces a dataset from Yogyakarta, Indonesia, "Batik Nitik 960". Dataset was captured from a piece of fabric consisting of 60 Nitik motifs. The dataset provided by Paguyuban Pecinta Batik Indonesia (PPBI) Sekar Jagad Yogyakarta, collection of Winotosasto Batik, and the data taken in APIPS Gallery. The dataset is divided into 60 categories with a total of 960 images, and each class has 16 photos. The images were captured by Sony Alpha a6400, lighting using Godox SK II 400, and data was filtered using jpg format. Each category has four motifs and is augmented using rotation using 90, 180, and 270 degrees. Each class has a philosophical meaning which describes the history of the motif. This dataset allows the training and validation of machine learning models to classify, retrieve, or generate a new batik motif using a generative adversarial network. To our knowledge, this is the first publicly available Batik Nitik dataset with philosophical meaning. Data provides by a collaboration of PPBI Sekar Jagad Yogyakarta, Universitas Muhammadiyah Malang, and Universitas Gadjah Mada. Hope this dataset "Batik Nitik 960" can support batik research and we are open to research collaboration.
DOI: 10.6084/m9.figshare.4668808.v1
title: 5a. MaxEnt output - Raw

description: Raw data: MaxEnt results (csv) and haibitat suitability ascii file
DOI: 10.17632/44v7cswsg4
title: Locations of Largest NJ State Farm Preservations and Farmers Markets

description: This data set presents New Jersey Agricultural data from New Jersey SADC (2020) to map fifty farms in New Jersey by their acreage easement sizes. Following the farm mapping, fifteen of South Jersey’s most advertised farmers markets were mapped, with buffers present to demonstrate the farms proximity to the locations fresh produce is being sold.

The initial data sets were gathered from two main sources, and then combined.  
New Jersey Agricultural data came from the NJ State Agriculture Development Committee, which categorized NJ Farm preservations from 1983 to present. We mapped the fifty biggest farms by acre.
A guide to South Jersey Farmers Markets was then used to obtain the farmers market locations, which was turned into a .csv file to be geocoded in arcgis.com
The data were then geocoded using ArcGIS Online software for visualization.

The state’s 50 largest farms were located within 3 Southern counties, Gloucester, Camden and Atlantic. The largest farms by acreage easement are a collection in Atlantic County. 15 of South Jersey’s most prominent farmers markets were cited by a website which advertises South Jersey places that are positively impactful to the community. The buffers around the markets are ten miles in radius, and every market except for one is within ten miles of at least one farm. This shows how close fresh produce is grown. Conclusions such as efficiency and food security for South Jersey residents may be implied by this proximity.

Geocoded data sets join New Jersey agriculture processes to their placement within society, demonstrating the availability of fresh food from local markets in Southern New Jersey. By understanding where our food comes from we can feel more connected to it and potentially make more sustainable consumption decisions.
	In many parts of the world, food travels hundreds if not thousands of miles before it ends up on someone's dinner table. Transportation is time consuming, costly, and environmentally damaging due to resource consumption of mechanized transportation. By have local produce available we can cut out a lot of the resource consumption that goes into food consumption, creating a more sustainable system.
DOI: 10.17632/hxxckxtb8p
title: CPG LC/MS

description: Mass spectrometry data from Caulobacter crescentus. Strains include: wild type, ccna_01217 deletion, ccna_01218 deletion, ccna_01219 deletion, and the respective complementation strains. Lipids were extracted by the method of Bligh and Dyer and analyzed by normal phase LC/MS. MS/MS analysis was used to determine the structure of the ceramide phosphoglycerate lipid.
DOI: 10.6084/m9.figshare.19898404.v1
title: DeepContact Training Data

description: data of deepcontact
DOI: 10.6084/m9.figshare.21601857.v1
title: Supplementary Material for: Cardiovascular risk factors in children and adolescents with type 1 diabetes mellitus: the role of insulin resistance and associated genetic variants

description: Introduction: Type 1 diabetes (T1D) is associated with increased risk of cardiovascular disease. Insulin resistance is an important cardiovascular risk factor (CVRF), also in subjects with T1D, but the influence of the genetic predisposition of insulin resistance on cardiovascular risk is still unknown in T1D. We aimed to determine whether a genetic score composed of six variants, previously associated to insulin resistance and type 2 diabetes (T2D) risk, associates with insulin sensitivity and known CVRFs in children and adolescents with T1D. Materials and Methods: 330 children and adolescents (174 males; mean age 15.7±3.5 years) with T1D were genotyped for the following genetic variants: rs1801278 (IRS1), rs1044498 (ENPP1), rs2295490 (TRIB3), rs1801282 (PPARG), rs780094 (GCKR), and rs35767 (IGF1). An additive genetic risk score (GRS) and cardiovascular risk score (CVRS) were calculated. Anthropometric, glycemic control, insulin sensitivity, blood pressure, and biochemical parameters were assessed. Multivariate regression between evaluated phenotypes and GRS were performed. Results: We found a significant association between the GRS and estimated insulin sensitivity [β=-0.027 (-0.040 to -0.013), R2=0.86, p=&lt;0.001], diastolic blood pressure [β=0.68 (0.08-1.27), R2=0.20, p=0.026], triglycerides [β=4.26 (1.74-6.77), R2=0.13, p=0.001], waist to height ratio [β=0.003 (0.001-0.006), R2=0.75, p=0.010], non-HDL-cholesterol [β=3.63 (1.39-5.87), R2=0.12, p=0.002], and CVRS [β=0.063 (0.008-0.118), R2=0.19, p=0.025], independent of age, sex, BMI, pubertal stage, diabetes duration, HbA1c, type of treatment and total insulin requirement. The addition of the GRS to established clinical risk factors significantly improved the discriminatory capability of the regression model for predicting subjects with more CVRFs (C-statistic 0.89 [95%CI 0.84–0.95] vs. 0.83 [0.73–0.93]; p = 0.037). Conclusions: Insulin resistance and T2D risk-associated genetic variants influence insulin sensitivity and known cardiovascular risk factors in children and adolescents with T1D.
DOI: 10.6084/m9.figshare.25282351.v1
title: <b>Living in a multi-stressor world: nitrate pollution and thermal stress interact to affect amphibian larvae</b>

description: The interaction of widespread stressors such as nitrate pollution and increasing temperatures associated with climate change are likely to affect aquatic ectotherms such as amphibians. The metamorphic and physiological traits of amphibian larvae during the critical onset of metamorphosis are particularly susceptible to these stressors. We used a crossed experimental design subjecting <i>Rana temporaria </i>larvae to four constant rearing temperatures (18, 22, 26, 28 °C) crossed with three environmentally relevant nitrate concentrations (0, 50, 100 mg × L<sup>-1</sup>) to investigate the interactive and individual effects of these stressors on metamorphic (i.e., growth and development) and physiological traits (i.e., metabolism and heat tolerance) at the onset of metamorphosis. Larvae exposed to elevated nitrate concentrations and thermal stress displayed increased metabolic rates but decreased developmental rate, highlighting interactive effects of these stressors. However, nitrate pollution alone had no effect on either metamorphic or physiological traits, suggesting that detoxification processes were sufficient to maintain homeostasis but not in combination with increased rearing temperatures. Furthermore, larvae exposed to nitrate displayed diminished abilities to exhibit temperature-induced plasticity in metamorphosis timing and heat tolerance, as well as reduced acclimation capacity in heat tolerance and an increased thermal sensitivity of metabolic rate to higher temperatures. These results highlight the importance of considering the exposure to multiple stressors when investigating how natural populations respond to global change.
DOI: 10.17632/k4zkwbfyk9
title: Data for: Antiferroelectric behavior and giant strain in BNKT complex tungsten bronze Cs2Nb4O11 ceramics
DOI: 10.6084/m9.figshare.12907358.v1
title: SF19-22_TRPL

description: Time-resolved photoluminescence spectra and kinetics of donor blends and respective neat materials, used to evaluate the exciton lifetime reduction due to hole transfer, as presented in Supporting Information Figures S19 to S22, as well as Extended Data Figure 8 (for PBDB-T-2F-based blends).<br>
DOI: 10.6084/m9.figshare.13542989.v1
title: Perceived risk and fear among Brazilian women

description: Data collected to analyse the perception of Brazilian women about the Covid-19 pandemic
DOI: 10.6084/m9.figshare.14170787.v2
title: Paper data and code

description: This tarball contains code, data, and figures to reproduce results for the paper "Natural variants suppress mutations in hundreds of essential genes".<br>There are five subdirectories:- <i>code</i> contains the code used to process data, and to plot results. The "Paper claims and figures" notebook generates the tables and plots- <i>meta </i>contains strain descriptions and external datasets- <i>input_data</i> contains the raw input data generated as part of this study into the analysis in the form of colony size files for different replicates at different temperatures, and allele counts [here already updated with frequencies] of mapping experiments- <i>tables </i>contains the output tables generated by code [including the relevant manuscript files]- <i>plots</i> contains output plots [including the relevant manuscript figure panels]
DOI: 10.6084/m9.figshare.24152568.v1
title: Anonymised Data Set

description: Anonymised interviewee personal information
DOI: 10.6084/m9.figshare.27605208.v1
title: Phenotyping, Genome-wide Dissection, and Prediction of Maize Root Architecture for Temperate Adaptability

description: Root System Architecture (RSA), crucial for agronomic traits including anchorage, nutrient absorption, and stress responses, profoundly influences maize yield. Analyzing maize RSA dynamics holds potential for ideotype-based breeding and prediction, given the limited understanding of the genetic basis of RSA in maize. Here, we obtained 16 root morphology-related traits (r-traits), 7 weight-related traits (w-traits), and 108 slice-related microphenotypic traits (s-traits) from the meristem, elongation, and mature zones by cross-sectioning primary, crown, and lateral roots from 316 maize lines. Significant differences were observed in some root traits between tropical/subtropical and temperate lines, such as primary and total root diameters, root lengths, and root area. Additionally, root anatomy data were integrated with genome-wide association study (GWAS) to elucidate the genetic architecture of complex root traits. GWAS identifies 809 genes associated with r-traits, 261 genes linked to w-traits, and 2,577 key genes related to 108 slice-related traits. We confirm the function of a candidate gene, <i>FUT5</i>, to regulate root development and heat tolerance in maize. The different <i>FUT5</i> haplotypes found in tropical/subtropical and temperate lines are associated with primary root features, and hold promising applications in molecular breeding. Furthermore, we performed machine learning prediction models of RSA using root slice traits, which achieved the high prediction accuracy. Collectively, our study offers a valuable tool for dissecting the genetic architecture of RSA, along with resources and predictive models beneficial for molecular design breeding and genetic enhancement.
DOI: 10.6084/m9.figshare.6916277.v1
title: Rice Cultivation Reduces Methane Emissions in High-Emitting Paddies

description: Raw data of a paper "Rice Cultivation Reduces Methane Emissions in High-Emitting Paddies"
DOI: 10.17632/9s4ytnznkm
title: Use of systemic Janus-kinase inhibitors for dermatological indications in the elderly – A retrospective study of 67 cases

description: Supplementary data for the research letter entitled, "Use of systemic Janus-kinase inhibitors for dermatological indications in the elderly – A retrospective study of 67 cases"
DOI: 10.17632/dwn7rb8ghf
title: Automatic identification of building structure types using unmanned aerial vehicle oblique images and deep learning considering facade prior knowledge

description: This is the sample data obtained from network crawling and source code  in the "Automatic identification of building structure types using unmanned
aerial vehicle oblique images and deep learning considering facade prior knowledge", which is used for the reproduction and verification of the experiment. Including sample images and TFRecord data. Code includes data collection, facade extraction, PKAB_ net。
DOI: 10.17632/wk8m4t64dh
title: Dataset: The relationship between properties of plant-based biochars and sorption of Cd(II), Pb(II) and Zn(II) in soil model systems

description: This file contains the raw data and the script for analysing the sorption capacities of five plant-based biochars for Cd(II), Zn(II) and Pb(II). This data is part of the supplementary information of the paper "The relationship between properties of plant-based biochars and sorption of Cd(II), Pb(II) and Zn(II) in soil model systems" (open access paper can be found at: https://doi.org/10.1016/j.heliyon.2020.e05388). The experimental data was fit to Langmuir and Hill sorption isotherm models and the goodness of fit was assessed by the Akaike Coefficient Criterion (AIC). Thereafter, significant differences in the fitted parameters between biochars were determined as described by Ritz and Streibig (2009). All the analysis were conducted with R. The data also include SEM-EDX images of biochars exposed to Cd(II), Pb(II) and Zn(II). Biochars were produced from oil seed rape straw at 500 ⁰C and 700 ⁰C (OSR550, OSR700), wheat straw (WSP550), Miscanthus straw (MSP550) and soft wood (SWP550) pellets at 500 ⁰C. The biochars were supplied by the UK Biochar Research Centre (https://www.biochar.ac.uk/standard_materials.php).
DOI: 10.6084/m9.figshare.2075455.v3
title: Aerial Visual Tracking on 5th Video of VIVID Dataset

description: Video 5 of VIVID dataset.
DOI: 10.6084/m9.figshare.25855843.v1
title: Wu and Liu 2023 9368 PileBetaG sourced qpss data

description: These data were sourced by the literature (Wu X.Z., Liu H. Development of environmental contours from site-specific regression parameters of load−settlement curves for piles: the global database. International Journal of Geomechanics, 2023, 23(9):04023148-1-22.) https://doi.org/10.1061/IJGNAI.GMENG-8372 The qpss file can be opened by any text editor, such as notepad or editplus. The tested load-settlement data for each curve were saved in the qpss file at a construction site. The data format of these qpss files are as follows: Q11 s11 Q12 s12 ... ... Q1k s1k
DOI: 10.6084/m9.figshare.28194320.v8
title: Supplementary Table of <b>A</b><b> </b><b>n</b><b>ovel lncRNA</b><b>, </b><b><i>OslncBR3</i></b><b>,</b><b> </b><b>positively r</b><b>egulat</b><b>es</b><b> </b><b>r</b><b>ice </b><b>r</b><b>esistance </b><b>to b</b><b>last </b><b>fungus (</b><b><i>Magnaporthe grisea</i></b><b>)</b>

description: Table S1 Statistics of RNA sequencing data.Table S2 The primer sequences.Table S3 All clean reads were mapping to IRGSP-1.0.Table S4 All lncRNAs were identified from 16 samples.Table S5 Differentially expression analysis of all transcripts.Table S6 Functional analysis of all transcripts.Table S7 Prediction of all lncRNA-targeted mRNA.Table S8 Disease resistance-related pathways of lncRNAs-targeted DEmRNAs.Table S9 The expression levels data used for training lasso model.Table S10 Coefficients of lasso model.Data S1 The expression levels data of all transcripts based on TPM.Data S2 Sequences of OslncBR3, OsLTG1, and OsLTG2.<br><br>
DOI: 10.17632/n73g6ysv8c
title: NOAA Puget Sound Nearshore Fish 2017-2018

description: The sustainable management of fisheries and aquaculture requires an understanding of how these activities interact with natural fish populations. GoPro cameras were used to collect an underwater video data set on and around shellfish aquaculture farms in an estuary in the NE Pacific from June to August  2017 and June to August 2018 to better understand habitat use by the local fish and crab communities. Images extracted from these videos were labeled to produce a data set that is suitable for use in training computer vision models. This approximately 8 GB data set contains 77,739 images sampled from the collected videos; 67,990 objects (primarily fishes and crabs) have been annotated in 30,384 images. The remainder of the images (47,355 images) have been annotated as “empty”. All images (with and without animals) are at a resolution of 1920 x 1080. Annotations have been provided in the COCO Camera Traps JSON format. Additional information can be found here: https://lila.science/datasets/noaa-puget-sound-nearshore-fish.  For particular ecological studies, such as studies of animal behavior, it is desirable to minimize changes to the natural environment when collecting data, which discourages the use of artificial light sources.  Data sets that feature brackish water are rare, and naturally-lit examples showcasing field data collection challenges are even more rare, and will allow for the training of models that are able to support such studies. These data have the potential to help researchers address system-level and in-depth regional shellfish aquaculture questions related to ecosystem services and shellfish aquaculture interactions.
DOI: 10.17632/rjmm42332s
title: Data for: A Machine Learning Framework for the Analysis and Prediction of Catalytic Activity from Experimental Data

description: The data contains all data and code needed to reproduce the results of the manuscript "A Machine Learning Framework for the Analysis and Prediction of Catalytic Activity from Experimental Data."
DOI: 10.6084/m9.figshare.23266289.v1
title: Dataset-val.zip

description: model validation
DOI: 10.6084/m9.figshare.24587220.v1
title: Match Colangio-1 HCC-3 Propensity Score 2023-07-05.xlsx

description: Complete datasheet from investigation on liver transplantation for intrahepatic cholangiocarcinoma and mixed hepatocellular-cholangiocarcinoma.
DOI: 10.6084/m9.figshare.29109212.v1
title: CTCF_prol_2

description: NU1 cells Chipseq data
DOI: 10.6084/m9.figshare.5579416.v1
title: Harmful drinking, parenting style, and distress: Bhutan

description: Data from 245 young adults, self-report measures covering: parenting style, distress, and alcohol-related problems. Dysfunctional parenting styles were associated with increased distress and problematic alcohol use. Mediation model suggested that distress mediates the relationship between dysfunctional parenting styles and problematic alcohol use.
DOI: 10.6084/m9.figshare.9941816.v1
title: marine soil carbon

description: Includes estimated soil/sediment carbon stocks down to 1 meter. Carbon stocks are in Megagrams per kilometer squared. GPS coordinates are in decimal degrees.
DOI: 10.17632/fxmb9pxx72
title: Simulations of water temperature changes in District Heating Network

description: A program for calculating (simulating) the average value of water temperature in a district heating network, based on a simplified model of the district heating system. The program uses a database containing measurement results of supply and return water temperatures in heat sources.
DOI: 10.17632/kz6bvkfs8f
title: DATA_5% dextrose

description: Effectiveness of intravenous glucose infusion during recovery from anesthesia on postoperative recovery in patients undergoing gynecologic laparoscopic surgery.
DOI: 10.6084/m9.figshare.21539232.v2
title: Financial statements

description: Financial statements of Evergrande