cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24435151.v1
title: <b>Wheat yield response to elevated </b><b>O</b><sub><strong>3 </strong></sub><b>concentrations </b><b>differs between the world’s major producing regions</b>

description: The O3 dose-response relationships of wheat yield and yield components around the word (China, India, Europe and North America)Supplementary Data.xlsx provided the O3 dose-response relationships of wheat yield and their 95% confidence intervals in China, India, Europe and North America.Other files provided the O3 dose-response relationships of wheat yield components and their 95% confidence intervals in China, India, Europe and North America.The data were producted by "Wheat yield response to elevated O3 concentrations differs between the world’s major producing regions" in Science of the Total EnvironmentAny questions please connect YansenXu via: yansenxu@nuist.edu.cn
DOI: 10.6084/m9.figshare.3518555.v1
title: Appendix G. AICc values used to select univariate regression models.

description: AICc values used to select univariate regression models.
DOI: 10.17632/7ymx28z3km
title: Emmanuel Mgimwa

description: Introduction The influence of physical-chemical variables on phytoplankton and lesser flamingo (Phoeniconaias minor) abundances have been studied in the East African Rift Valley Soda lakes such as Bogoria (Ballot et al., 2004, Schagerl & Oduor 2008, Tebbs et al., 2013, & Robinson, 2015), Nakuru (Ballot et al., 2004, Schagerl & Oduor 2008, Robinson 2015, & Krienitz et al., 2016), Elementaita (Ballot et al., 2004, Schagerl & Oduor 2008, Robinson, 2015), Oloidien (Robinson, 2015) and Manyara (Kihwele et al., 2014). However, there are no studies on the influence of physical-chemical variables on phytoplankton and lesser flamingo abundances at lake Natron despite being the only important and regular breeding area for the East African lesser flamingo populations (Baker & Baker 2002, & Wildlife Division, 2010). Although migration and erratic movements of lesser flamingo has been documented (Baker 1997, & Baker & Baker, 2002), a sizeable number of flamingos has been found to stay at lake Natron throughout the year. The migrating lesser flamingos spend time at lake Natron before and after the breeding season (October - February but can breed throughout the year if conditions are favourable) making it important to understand the productivity levels of the phytoplankton and the underlying physical-chemical variables. This study investigated the relationship of the lesser flamingo and phytoplankton abundances and how the physical-chemical variables (dissolved oxygen, water turbidity, pH, nitrate (NO3-), ammonium (‎NH4+) and phosphate (PO43-)) affect Chlorophyll-a abundance at lake Natron. The study used Chlorophyll-a as a measure of phytoplankton and selected physical-chemical variables with the greatest influence on the phytoplankton's primary productivity. Conclusion Findings from this study suggest that annual fluctuation in the lesser flamingos numbers in lake Natron is triggered by phytoplankton abundance whose primary productivity is influenced by physical-chemical variables in the lake waters. In turn, these changes are mainly due to both anthropogenic activities and weather changes within the lake basin and its surroundings. The observed trend in physical-chemical variables at the three study lagoons is a result of the spatial distribution of freshwater sources from Pinyinyi, Engaresero and Ewaso Ng’iro rivers and the dilution effect from rainfall and evaporation. The importance of the hydrological balance for the productivity of lake Natron is of paramount for the survival of the lesser flamingos. Being a closed (no river flowing from this lake) and transboundary ecosystem, any hydrological changes will impact the limnology and, in turn affect phytoplankton productivity.
DOI: 10.17632/cb8d2nsjss
title: Facility Management Unified Classification Database (FMUCD)

description: Historical building maintenance data were collected from twelve universities in the United States (U.S.) and Canada, spanning from the year 2002 to 2021, with a particular focus on Planned Preventive Maintenance (PPM) and Unplanned Maintenance (UPM). The collected data underwent pre-processing and organization based on the Facility Management Unified Classification Code (FMUCO), which was developed to classify heterogeneous building maintenance data. The resulting dataset, 'Facility Management Unified Classification Database (FMUCD),' comprises nine attribute groups (university, building, system, subsystem, component, work order, work order cost, work order labor, and weather) and their corresponding data attributes. The dataset aims to provide insights into (1) the current status of building management for campus-sized institutions and (2) support data-driven analyses of facility management.
DOI: 10.6084/m9.figshare.11485443.v1
title: Data Archive for Spencer et al. 2020, The Geology and Geophysics of Kuiper Belt Object (486958) Arrokoth, Science.

description: A. New Horizons images of (486958) Arrokoth and its surroundings used in the paper, in FITS format. FITS image headers contain all support information, including timing, pointing, instrument mode, and exposure, except as noted below.<br>1) Highest-resolution raw LORRI image sets. - ca01.zip (48 images) - ca02.zip (7 images) - ca04.zip (30 images) - ca05.zip (7 images) - ca06.zip (9 images) - ca07.zip (15 images)<br>2) Lower-resolution approach raw LORRI image sets. - rotational_coverage.zip (156 images)<br>3) Satellite search raw LORRI image sets. - satellite_search.zip (1536 images)<br>4) Ring search raw MVIC image set. - ring_search.zip (26 images)<br>5) Stacked and deconvolved versions of the highest-resolution images, containing minimal FITS headers: see the raw image sets for geometrical information. Images CA01 and CA04 are enlarged by a factor of 2 relative to the raw images. - deconvolved_hires.zip, containing CA01, CA02, CA04, CA05, CA06, and CA07.<br>B. Shape models for (486958) Arrokoth, in .obj format, in units of kilometers. - shape_models.zip, containing -- mu69_fr2kf_hipoly.obj: Global shape model -- ASP-CA04-CA06-LORRI-ICP-smooth.obj: Stereo shape model derived from CA04 and CA06<br>
DOI: 10.6084/m9.figshare.14061431.v1
title: Supporting data for Detecting initial aragonite and calcite variations in limestone-marl alternations

description: Supporting dataset and code for the manuscript "Detecting initial aragonite and calcite variations in limestone-marl alternations" in revision with Sedimentology<b></b>
DOI: 10.6084/m9.figshare.24953490.v1
title: Terahertz time-domain of the samples.csv

description: Terahertz time-domain data of the samples.
DOI: 10.17632/cw8gv5x22n
title: LINF_170012700

description: Acyl CoA binding protein | ACBP_96; Leishmania infantum (strain JPCM5)
DOI: 10.17632/kt64b2kh89
title: Tomato Leaf Image Dataset (TLID/PTLID)

description: Tomato Cultivation in Greenhouses - This is a new dataset with images of tomato leaves grown in greenhouses, containing healthy and diseased leaves images. The dataset is divided into two parts. The first one is called Tomato Leaf Image Dataset (TLID), and it has 15,260 images of size 256×256 pixels. The dataset includes seven classes of images: Healthy, Leaf Miner, Powdery Mildew, Bacterial Spot, Whitefly, Powdery Mildew and Leaf Miner, and Bacterial Spot and Leaf Miner. The second part, the Patch-based Tomato Leaf Image Dataset (PTLID), has the patch images of the TLID. For this, we subdivided each image leaf of the TLID dataset into 64 patch images with a size of 32×32 pixels.

Cite this published paper: https://doi.org/10.5753/jbcs.2025.4581
DOI: 10.17632/r9g4twf8mz
title: Dataset of Annotated X (Twitter) Misinformation Posts with Human and Large Language Model (LLM) Responses for Cognitive Analysis

description: We provide a dataset which can help researchers to conduct cognitive analysis on social media posts such as: study how individuals perceive, interpret and react to online posts. Cognitive analysis of LLMs not only analyse user metrics and binary misinformation labels but it also aims to uncover the underlying reasoning patterns, attitudes, and biases that shape social media behaviour. This perspective is crucial for understanding why certain misinformation narratives gain virality, how beliefs evolve, and what influences user trust or disbelief in online content.
DOI: 10.6084/m9.figshare.12420821.v1
title: Supplementary Fig.6.xlsx

description: Supplementary Fig.6.xlsx
DOI: 10.6084/m9.figshare.15129390.v1
title: BEAUMONT_Supp_Table_1.docx

description: <b>Supplemental table 1</b>: Chemical composition of the diet.
DOI: 10.6084/m9.figshare.19310681.v1
title: BulkData

description: Bulk RNA counts from MERFISH mouse liver and kidney data. Used in Figure 3.
DOI: 10.6084/m9.figshare.24267274.v2
title: <b>optimized data base</b>

description: Considering the optimization design of traction transformers under complex operating conditions is an important topic in the research of rail transit equipment. This paper proposes an MNSGA-II algorithm that combines the PSO-BP neural network to optimize and design the structure of traction transformers, taking into account static strength, modal, mass, and vibration fatigue.
DOI: 10.6084/m9.figshare.26531611.v2
title: Data base/Banco de dados - Risk factors associated with 30-day hospital readmission of older people: case-control study

description: Data base/Banco de dados da pesquisa Risk factors associated with 30-day hospital readmission of older people: case-control study
DOI: 10.17632/ngds35s8vr
title: Leaf Vein Fragment Dataset

description: This dataset contains 64x64, 32x32, 16x16, 8x8, and 4x4 pixel green-channel image sets, each with two classes: 1. Cotyledon-type: Monocotyledon and Dicotyledon. Each cotyledon-type contains 21,828 images. 2. Species: Cocos nucifera, Eichhornia crassipes, Cucurbita moschata, and Neolamarckia cadamba. Each species contains 10,914 images. This dataset contains image data from three types of leaves: 1. Young 2. Mid-aged 3. Old Each leaf has two sides: 1. Front side 2. Reverse side File-format: ____xp. Example: ‘Dicot_Cucurbita_midAged_front_32x32p.csv’, which contains 32-by-32 pixel images (flattened to 1024 numerical columns) for the images captured from front-side, mid-aged leaves from Dicotyledon-type of Cucurbita moschata species plant.
DOI: 10.6084/m9.figshare.26808919.v1
title: Data and code — Mosquito-disseminated pyriproxyfen for mosquito-borne disease control in Belo Horizonte, Brazil: a pragmatic, before-after control-intervention paired-series trial

description: Data and code for the article "Mosquito-disseminated pyriproxyfen for mosquito-borne disease control in Belo Horizonte, Brazil: a pragmatic, before-after control-intervention paired-series trial" (The Lancet Infectious Diseases, 2024; https://doi.org/10.1016/S1473-3099(24)00492-4).Supplementary Code MDPPF Brazil: R code.Supplementary Dataset S1 MDPPF Brazil: full raw dataset. Used in main analyses and Figure 2.Supplementary Dataset S2 MDPPF Brazil: summary of average dengue incidences across neighbourhoods and trial areas and periods. Used in Figure 3.
DOI: 10.6084/m9.figshare.7422872.v1
title: Table S4. PCR primers and nine sites assyaed by Sanger sequencing for Figure 3. from Clonal evolution and genome stability in a 2500-year-old fungal individual

description: Source data for Figure 3 located here.
DOI: 10.6084/m9.figshare.12844523.v3
title: <i>U</i>-Statistical Inference for Hierarchical Clustering

description: Clustering methods are valuable tools for the identification of patterns in high-dimensional data with applications in many scientific fields. However, quantifying uncertainty in clustering is a challenging problem, particularly when dealing with high-dimension low sample size (HDLSS) data. We develop a <i>U</i>-statistics based clustering approach that assesses statistical significance in clustering and is specifically tailored to HDLSS scenarios. These nonparametric methods rely on very few assumptions about the data, and thus can be applied to a wide range of datasets for which the Euclidean distance captures relevant features. Our main result is the development of a hierarchical significance clustering method. To do so, we first introduce an extension of a relevant <i>U</i>-statistic and develop its asymptotic theory. Additionally, as a preliminary step, we propose a binary nonnested significance clustering method and show its optimality in terms of expected values. Our approach is tested through multiple simulations and found to have more statistical power than competing alternatives in all scenarios considered. Our methods are further showcased in three applications ranging from genetics to image recognition problems. Code for these methods is available in R-package uclust. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.2082697.v2
title: JELiCo (Japanese Elder’s Language Index Corpus)

description: A corpus database managed by the MedNLP Laboratory, Kyoto University, Japan. This corpus was compiled using data from 22 people aged 74 to 86 years (mean age: 78.32 years; standard deviation [SD]: 3.36) who agreed to provide data for research purposes. This corpus also includes under 74 data (total 30 data).
DOI: 10.6084/m9.figshare.22902839.v1
title: SLKB - Deposited Data

description: Data export of synthetic lethality knowledge base. The initial release covers 11 CDKO studies and 22 cell lines.
DOI: 10.6084/m9.figshare.24460675.v3
title: The raw data

description: The combinations of acupuncture point selections extracted from the included literature
DOI: 10.6084/m9.figshare.26828776.v1
title: CldNetV2 - 202205

description: Retrieval of all-day cloud property based on satellite remote sensing dataGithub page: https://github.com/metdai/PMD-CldNetV2
DOI: 10.17632/84rgv5rpjk
title: Analysis of Current Pattern and Sedimentation using Surface water Modeling system (SMS 10.0)

description: data consist of tidal periodic, sediment classes etc.
DOI: 10.6084/m9.figshare.29093312.v1
title: boundaryData.zipCDRFG-synthetic-turbulence-inflow outputs

description:  Consistent Discrete Random Flow Generation method (CDRFG)was introduced by Aboshosha et al [1]. This approach retains the ability to produce turbulence fields with any desired power spectrum while maintaining coherence between velocity components. Using this method and with the available data on mean velocity distribution and turbulence intensity at the inlet plane, it is possible to generate a random turbulent flow field at all inlet points with a desired time step. The code is developed as a utility application using OpenFOAM as a framwork. 
The attached results are an example of the output of this code.
DOI: 10.6084/m9.figshare.6740384.v1
title: Additional file 5: of QTLs and eQTLs mapping related to citrandarinsâ resistance to citrus gummosis disease

description: Gene, linkage group (LG), flanking markers, position of the eQTL in centiMorgans (cM position), LOD score, proportion of phenotypic variation (R2) explained by eQTL in % and additive effect by the eQTLs mapping in the Citrus sunki map. (XLSX 18 kb)
DOI: 10.17632/mwvf5vdj8b
title: Deciphering Urban Heat Island Mitigation: A Comprehensive Analysis of Application Categories and Research Trends: Raw Data

description: a search was conducted on the Web of Science (WoS) database using a specific search string, ((TS=("urban*")) AND TS=("heat* island*")) AND TS=("mitigat*"), limited to the timeframe of 1980 to 2022. The first search term, (TS=("urban*")), is a title search that retrieves records containing the word "urban" or any word beginning with "urban" in the title. The second search term, TS=("heat* island*"), is also a title search that retrieves records containing the words "heat," "island," or any word beginning with "heat" or "island" in the title. Finally, the third search term, TS=("mitigat*"), retrieves records containing the word "mitigation" or any word beginning with "mitigat" in the title. This search strategy is commonly used in scientometric research to yield a comprehensive set of records related to the topic.
DOI: 10.6084/m9.figshare.24720021.v1
title: CBG-yolov5s.zip

description: Metal surface corrosion detection
DOI: 10.6084/m9.figshare.3563904.v1
title: Supplement 1. Demonstration Mathematica code used to generate the model-based figures for this paper, together with Matlab code used in exploratory analyses.

description: File List Figure3.nb (MD5: 20d1058537efec4c066cefc4eb5c5a62) Demo code for Figures 4 and 5.nb (MD5: c01d41b592a5722a95f9d94c4f3114cb) Figure6.nb (MD5: b954500fa5fdb7741bd7861138ca61f3) runmodel.m (MD5: 9a8b5b6e18dee79265f74c36d175075f) Derivsub_ratio.m (MD5: 7fd3899e02de98977cdb02e9faee3013) Description Figure 3.nb – Mathematica code used to generate the isoclines shown in Fig. 3. Demo code for Figures 4 and 5.nb – Example Mathematica code used to generate the equilibria shown in Figs. 4 and 5; to generate the other equilibria, use the appropriate parameter combinations Figure 6.nb – Mathematica code used to generate Fig. 6 and related figures used in exploring the joint effects of the maximum P recycling rate <i>r</i> and the loss rate <i>s</i>. Runmodel.m – Demonstration Matlab code used to explore model results using simulations Derivsub_ratio.m – sub program called by runmodel.m
DOI: 10.17632/jdbjnt9vft
title: Replication package for: Toxic Metal Injustice? Socioeconomic Status at Birth and Exposure to Airborne Pollution. Journal of Urban Economics.

description: Replication package for: Toxic Metal Injustice? Socioeconomic Status at Birth and Exposure to Airborne Pollution. For more details, consult the README.pdf.
DOI: 10.17632/s3zvv93skd
title: Data for: Quantification of the full lifecycle bioenergetics of a large mammal in the high Arctic

description: Raw data and model code associated with Desforges et al. (2019) paper published in Ecological Modeling. Raw data include body weight at age for captive muskoxen at the Large Animal Research Station (LARS) at the University of Alaska Fairbanks, and body weight and composition for wild muskoxen on Victoria Island (Canada). For additional details on captive animals, contact John Blake (jeblake@alaska.edu). For additional details on the wild animals, contact Jan Adamczewski (Jan_Adamczewski@gov.nt.ca). The NetLogo model code is also provided and was developed and applied using NetLogo version 6.0.2. For additional information on the model, please contact Jean-Pierre Desforges (jpd@bios.au.dk). Further information about the data and model can be found in the associated paper (Desforges et al., 2019).
DOI: 10.17632/v3rsyd5c68
title: Data for: Detecting depression stigma on social media: a linguistic analysis

description: This dataset includes standardized values of linguistic features and their corresponding labels (depression stigma).
DOI: 10.17632/x2nzyj8xwn
title: Data for: TFP in Chinese Cities: The Role of Factor-Intensity and Industrial Agglomeration

description: Annual data for the period 2003-2013 are obtained from both China’s industrial enterprise database and China’s urban statistical yearbook for 207 cities. No existing yearbook has a prefecture city’s data from different industries, and so our research uses the sum of China’s industrial enterprise database to replace the missing index, and it just lasts until the year 2013. In this talbe, there contain many variables. First column is the code numbers of regions. Second column is the code numbers of industries. third colunm is year. 21th column is GML. 5th column is the EG index. 6th column is FDI. 7th column is FI. 8th column is Edu. 9th column is R&D. 10th column is Road. 11th column is GOV. 12th column is GC. 13th column is RV.
DOI: 10.6084/m9.figshare.12818717.v7
title: Collaborative Cross and Diversity Outbred liver proteomics manuscript

description: This repository contains:1. Starting peptide data, R scripts to process them, and the resulting quantitative protein data2. R scripts to process the genetic data for the Collaborative Cross and Diversity Outbred mice for further analysis (e.g., QTL, mediation, heritability)3. R scripts to run all analyses reported in manuscript4. Results data5. R scripts to reproduce all figures in manuscript6. Summary tables (supplemental tables attached to the associated manuscript)
DOI: 10.6084/m9.figshare.24488050.v3
title: Magicicada septendecula full genome sequence and annotation files

description: Full chromosome-level genome assembly for <i>Magicicada septendecula</i>, including annotation files and raw reads.
DOI: 10.6084/m9.figshare.28738244.v43
title: Logic innovation

description: Logic innovation 9-pdf
DOI: 10.6084/m9.figshare.5123404.v1
title: Supplementary Material for: Osteopontin Plays a Critical Role in Interstitial Fibrosis but Not Glomerular Sclerosis in Diabetic Nephropathy

description: <i>Background/Aims:</i> Osteopontin (OPN) has been implicated in the pathology of several renal conditions. The aim of this study was to clarify the roles of OPN in diabetic nephropathy. <i>Methods:</i> Diabetes mellitus (DM) was induced in wild-type (WT) and OPN knockout (KO) mice by injecting streptozotocin. The mice were killed 20 weeks after induction of DM and their kidneys removed. <i>Results:</i> Renal mRNA expression of OPN was increased in WT-DM mice compared to WT-sham mice. Immunohistochemistry showed high levels of OPN expression in the proximal tubules of WT-DM mice. Kidney weight and urinary albumin excretion increased to similar levels in the WT-DM and KO-DM mice. Interstitial fibrosis was increased in WT-DM mice compared to KO-DM mice. However, there were no differences in the degree of mesangial expansion or glomerular hypertrophy between the two groups. F4/80-positive cells (macrophages) and FSP-1-positive cells (fibroblasts) showed significantly higher infiltration in WT-DM mice than in KO-DM mice. Renal mRNA expression of NADPH oxidase subunits and urinary 8-isoprostane excretion were also increased in WT-DM mice. <i>Conclusions:</i> These results indicated that OPN is a key molecule that induces interstitial fibrosis in the diabetic kidney, but does not induce glomerular sclerosis.
DOI: 10.6084/m9.figshare.5993158.v1
title: raw data (idat format, illumina 450k)

description: raw data containing red/green signal intensities
DOI: 10.17632/2xkpwx3h59
title: Data for: UAV Environmental Perception and Autonomous Obstacle Avoidance: A Deep Leaning and Depth Camera Combined Solution

description: Here are codes and customized dataset used in this study. The folder named as Codes contains all scripts to realize object detection, obstacle avoidance and autonomous flight control. The folder named as Dataset contains all images and corresponding label files for training the CNN model.
DOI: 10.17632/c2cvdr2sf7
title: Heat stress induces a three-phase thermoregulatory response in different hot and humid environments in rats

description: The temperature data of 65 rats with each experiment group consisting of assigned five rats.
DOI: 10.17632/ky7dc3v5zr
title: Dataset of Indicators Related to A Low Carbon Approach Within Energy Saving and Green Waste Management in The Tourism Accommodation Sector.

description: This dataset presented a low-carbon approach examination and commitment of hotel operators towards energy saving and green waste management in order to mitigate climate change. The data set provides knowledge and information about the survey on practices of low-carbon approach among hotel managers and staff. The data obtained is useful as a referral among hotel operators in reducing carbon emissions through the practice of energy saving and green waste management. In fact, the data output can be tested for hotel operators entirely in order to transform conventional hotels into low-carbon hotels.