cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24570913.v1
title: Communications Earth & Environment '<b>Global inequities in population exposure to urban greenspaces increased amidst tree and nontree vegetation cover expansion</b>'

description: City-level population and human exposure to urban greenspace over the globe between 2000 and 2020 have been provided. The sum of the population was computed based on the Gridded Population of World Version 4 (GPWv4). A population-weighted exposure model was used to assess the spatial interaction between the population and urban trees or nontree vegetation, which provided a quantitative measure of the extent to which people are exposed to green areas in urban environments.
DOI: 10.17632/pvtwcjs365
title: Microscale walkability indicators for fifty-nine European central urban areas

description: This Microsoft Excel Workbook (.xlsx) accompanies the "Micro-level walkability indicators for fifty-nine European central urban areas: An open-access tabular dataset and geospatial web-based platform" data article submitted to the Data in Brief Journal. Its spreadsheets contain data and information regarding the pedestrian environment of 59 city centers from 26 European countries. (Direct link to our web-based platform: http://geochoros.survey.ntua.gr/walkandthecitycenter/home)
DOI: 10.17632/f2jxmcg7gb
title: Modeling and optimization of the penetration of hydrogen in the Iranian energy supply system through low-carbon strategies

description: The dataset gathers techno-economic information for Iran's hydrogen route modeling. Although the techno-economic data may be used with any modeling framework, the dataset's structure is intended to be compatible with the Open Source Energy Modelling System (OSeMOSYS). Reports, websites, national and international organization databases, and articles were the sources of the data included in this collection. The expected statistics for 2020–2055 include capital costs, fixed costs, variable costs, operational life, efficiencies, and capacity factors.
DOI: 10.17632/zfyc5y9ms7
title: Groundnut Dataset of Three Grades

description: Images in the dataset are captured with a uniform background. Each image consists of 10 groundnuts. The dataset consists of three grades. Accordingly, the authors have posted the dataset in three different folders: Grade1, Grade2 and Grade3. Grade1 consists of total 66 items with 65 images of groundnut and one excel sheet containing weight value of groundnuts in each image. Grade2 consists of total 61 items with 60 images of groundnut and one excel sheet containing weight value of groundnuts in each image. Grade3 consists of total 61 items with 60 images of groundnut and one excel sheet containing weight value of groundnuts in each image
DOI: 10.17632/tfp5m53r8z
title: Sequences of Kinematic features Extracted from Repetitive Unilateral Upper-limb Movements

description: The data include 13 kinematic features extracted during three repetitive movements performed by 12 healthy subjects and 14 stroke survivors. This data collection has been approved by Nanyang Technological University Institutional Review Board (IRB-2018-03-036). See readme.pdf for more details.
DOI: 10.6084/m9.figshare.17074964.v2
title: scAgeCom intercellular communication datasets (age and sex)

description: List of all datasets generated by scDiffCom when applied to the Calico and Tabula Muris Senis aging scRNA-seq data. Differential expression with age (DiffAge) was performed on male and female samples separately. Differential expression with sex (DiffSex) was performed on young and old samples separately. Each dataset is an rds file that can be loaded in R once the package scDiffCom has been installed.
DOI: 10.6084/m9.figshare.28632650.v1
title: Fossil Histiogaster mites and syninclusions from Eocene Rovno amber

description: Source image stacks of specimens, dataset for the paper<b>An exceptionally well-preserved Eocene </b><b>fossil mite, Histiogaster altilis sp. n. </b><b>(Acari: Astigmata), from tree sap: </b><b>Evidence of morphological and </b><b>ecological niche conservatism, with a </b><b>review of fossil Astigmata</b>Vasiliy B. Kolesnikov, Dmitry D. Vorontsov, Evgeny E. Perkovsky, Pavel B. KlimovWe describe <i>Histiogaster altilis</i> sp. nov. (Acari: Astigmata: Acaridae), a newly identified species of mite from Eocene Rovno amber (34–37 Ma), based on both male and female specimens. The exceptional preservation of the fossils, coupled with advanced amber preparation and imaging techniques—including high-resolution microscopy, differential interference contrast (DIC) with transmitted light, and confocal laser scanning microscopy (CLSM) equipped with a super-resolution detector—enabled detailed examination of nearly all diagnostic features. These data allowed us to perform a comprehensive comparison between this fossil species and extant representatives of the genus <i>Histiogaster</i>. Based on morphological similarities with extant species of known biology, and the presence of syninclusions such as fossilized phloem sap emulsions and fungal or bacterial hyphae, we hypothesize that this fossil mite likely fed on fermented tree sap and associated microorganisms. Our findings indicate that species within the genus <i>Histiogaster</i> have undergone minimal morphological changes since the Eocene, while continuing to occupy their ancestral ecological niche. We also review fossil Astigmata and provide an annotated checklist of 14 fossil astigmatid records, and exclude 8 records, including the genus <i>Palaeotyroglyphus</i> Dubinin, 1962, from Astigmata.Images in JPEG or TIFF format, zipped per specimen.<br>Scalebars included as separate files, insert pixel to pixel to the photo. FastStone image viewer (freeware) is recommended for viewing the stacks.<br>Compound microscopes Nikon E-800 with dry (10x, 20x), water (40x and 60x) and oil (100x) immersion optics and Zeiss AxioImager A2 with dry (40x, 63x) and oil immersion optics (100x) were used, with brightfield, polarized, differential interference contrast and incident illumination. Stacks of images, comprising multiple focal planes, were obtained with Olympus OM-D E-M10-II digital camera. Images were treated for color, digital noise and sharpness with Adobe Lightroom.Fluorescence imaging was performed using a Zeiss LSM-880 confocal laser scanning microscope (CLSM) equipped with an Airyscan super-resolution detector.
DOI: 10.17632/34rczh25kc
title: KU-MWQ: A Dataset for Monitoring Water Quality Using Digital Sensors.

description: Water quality depends on many factors. Among them some factors have direct effect in maintaining minimum sustainable environment. The following dataset contains parameters of three basic water quality factors. Temperature, pH factor and Water Turbidity. Two sets of Arduino based digital sensors were used to measure data from two different depths of the water label. Data were collected from a fish pond within the premises of Khan Jahan Ali Hall, Khulna University. Data were recorded 24 hours continuously from 15 January 2020 to 22 January 2020. Recording rate was 1 set of data per minute in average. All the sensors collected data in parallel at the same time. An Arduino Mega microcontroller board acted as the central processing unit and recorded all the sensors’ data altogether. Data file contents: Data 1:: Sensor data for 30 cm.xlsx: Contains raw data from pH sensor, Temperature sensor and Turbidity sensor. This set of sensors was 30 cm underwater. This file has 9623 sets of data each set having 3 data samples from the corresponding sensors. Data arrangement is described below: Column 1: Date and time of data recording in the format of YYYY-MM-DD [hh]:[mm]:[ss]. Time is in 24-hour format. Data are identical for all files. Column 2: Data from Temperature sensor in °C. Temperature values have maximum two decimal places. Column 3: Data from pH sensor. pH values have maximum two decimal places. Column 4: Data from turbidity sensor in “NTU” unit. Data 2:: Sensor data for 60 cm.xlsx: Contains raw data from Temperature sensor and Turbidity sensor. This set of sensors was 60 cm underwater. This file has 9623 sets of data each set having 2 data samples from the corresponding sensors. Data arrangement is described below: Column 1: Date and time of data recording, same as the previous file. Column 2: Data from Temperature sensor in °C. Temperature values have maximum two decimal places. Column 3: Data from turbidity sensor in “NTU” unit. Row-wise data categorisation: Each row represents one set of data for that consecutive time of the day. Considering when the data were taken the rows can be divided into two groups, day time data and night time data. Row 2-116, 811-1445, 2170-2855, 3634-4410, 5156-5885, 6554-7189, 7833-8476, 9078-9624:: Contains day time data from 6:00am to 6:00pm. Row 117-810, 1446-2169, 2856-3633, 4411-5155, 5886-6553, 7190-7832, 8477-9077:: Contains night time data from 6:00pm to 6:00am. These data can also be categorised row-wise based on the weather condition of the day. There are two groups of data that were collected under two different weather conditions. Row 2-6148, 7462-9624:: Contains sensor data from dry day. Row 6149-7461:: Contains sensor data from rainy day. This dataset can be used to determine environmental suitability of the local area for fish farming. Machine learning based projects can use this data for detecting anomalies and forecasting near future aquatic environmental condition.
DOI: 10.17632/9vtb2dwtkj
title: Milk metabolome reveals pyrimidine and their degradation products as the discriminant markers of different corn silage-based nutritional strategies - Supplementary table 2

description: Metabolomic dataset resulting from the UHPLC-HRMS (Orbitrap) analysis containing all the annotated milk metabolites as a function of the different cows' feeding strategies, together with their level of confidence in annotation, relative abundance, and composite mass spectrum (from isotopic-MS and MSMS). The discriminant VIP milk metabolites of the different OPLS-DA models are also provided.
DOI: 10.6084/m9.figshare.12444611.v3
title: Nn.TE

description: The improved repeat (including transposable elements) prediction (GFF3) of<i> Nelumbo nucifera</i>.
DOI: 10.6084/m9.figshare.12579065.v1
title: Gene database of Lactococcus lactis strain A12

description: Used in the diary industry to produce cheese, <i>Lactococcus lactis</i> is a Gram-positive cocci which is Generally regarded as safe. Nonmotile in nature and which can exist in short chains of concatenated cocci, the bacterium produces acids from lactose fermentation. Such acids are particularly useful for curdling milk to produce cheese. This work sought to provide fundamental genomic information of <i>L. lactis</i> strain A12 through parsing its annotated genome sequence from Genbank. Comprising gene name, gene function, and gene sequence, the resource should find use in a variety of biotechnology workflow seeking to improve the functional capabilities of this industrial microbe as well as expanding its biotechnology applications.
DOI: 10.6084/m9.figshare.12630212.v1
title: Mapping dataset of dissolved oxygen and carbonate system showing autumnal subsurface acidification in the central North Yellow Sea in 2017

description: The North Yellow Sea (NYS) is a shallow-water and semi-enclosed marginal sea of the western North Pacific. Its climatic variations are primarily dominated by the East Asian Monsoon. The rain-bearing southwest monsoon lasts from June to September, while the strong northeast monsoon prevails in winter, from November to March of the following year. In relatively warm seasons, the hydrography across the NYS is characterized by a pronounced cold pool of typically 5−11°C that is overlain by 10−20 m of warm water. It is regarded as the remnant of winter cooling and known as the North Yellow Sea cold water mass, where metabolic CO<sub>2</sub> accumulates every year from spring to autumn. In winter, the NYS surface water tends to be quickly cooled and then submerges into the water column, leading to ventilation over the whole water column of ~80 m. The wintertime air–sea CO<sub>2</sub> equilibration time in the well-mixed NYS water column has been estimated to be 25−100 d, depending on wind speeds.In 2017, three central offshore cruises were carried out in the North Yellow Sea in September, October and late December. During these cruises, depth profiles of temperature and salinity (practical salinity scale of 1978) were acquired with calibrated conductivity-temperature-depth/pressure (CTD) recorders (SBE911 plus or SBE19 plus, Sea-Bird Scientific, USA) onboard the R/V <i>Dongfanghong</i> 2 (10−12 September 2017 and from 30 December 2017 to 2 January 2018) and the R/V <i>Beidou</i> (13−16 October 2017). Water samples for dissolved oxygen (DO) and carbonate parameter analyses were obtained at two to four different depths (including the sea surface and bottom layer) using rosette samplers fitted with 12-L Niskin bottles (General Oceanics, USA), which were mounted with the CTD recorders.<br>Sampling surveys were separately supported by the National Natural Science Foundation of China via Ship-time Sharing projects during the Open Research Cruises conducted in the Bohai and Yellow Seas (onboard R/V <i>Dongfanghong 2</i>) in September and December 2017 (Cruise no. NORC2017-01), and by the Yellow Sea Fisheries Research Institute, the Chinese Academy of Fishery Sciences, via the monitoring project of fishery resources and habitat environment in the Yellow Sea (onboard R/V<i> Beidou</i>, October 2017).
DOI: 10.6084/m9.figshare.18844295.v1
title: Dataset.csv

description: This data set was used for the research<b>Clustering Equipment Parts for Maintenance Using K-means++</b>
DOI: 10.6084/m9.figshare.27273021.v1
title: Data relative humidity.xlsx

description: This Excel file contains data on relative humidity (RH), daily global solar radiation (H), sunshine duration (n), average temperature (T), extraterrestrial solar radiation (H0), daily sunshine duration (SF), atmospheric pressure (P), dew temperature (Td), precipitation (Pr), and wind speed (v). These measurements were collected from a meteorological station in Fez (latitude 33°55'58" N, longitude 4°58'30" W, altitude 571.3 m) between 2016 and 2017.
DOI: 10.6084/m9.figshare.16998655.v1
title: PolIISer2P-KO1.hg38.CPM.bw

description: ChIP
DOI: 10.6084/m9.figshare.28529999.v2
title: Investigating the Application of IoT Mobile App and Healthcare Services for Diabetic Elderly: A Systematic Review

description: As the prevalence of diabetes increases among the elderly population, effective management becomes increasingly crucial. IoT mobile applications offer promising solutions for diabetes care by providing real-time monitoring, medication management, and lifestyle support. This paper aims to investigate the potential applications and challenges of IoT mobile applications in managing diabetes among elderly patients. Three databases including Scopus, Web of Science, and IEEE were systematically searched; 29 articles were screened in the final analysis process. Key results indicate that the application of mobile apps includes blood glucose monitoring, medication adherence, promotion of physical activity, and dietary control. Devices such as continuous glucose monitors and smart pill dispensers significantly improve glycemic control and medication adherence rates, these technologies enable real-time tracking, personalized feedback, and timely interventions, which enhance self-management and communication with healthcare providers. However, technical challenges like interoperability, data security and privacy, usability and involvement of policymakers pose significant barriers to their effective implementation. Collaborative efforts from healthcare providers, device manufacturers, and policymakers are essential to overcome these barriers and fully leverage the benefits of IoT technologies in diabetic elderly care. This review highlights the need for collaborative efforts to develop standardized frameworks that ensure device compatibility and seamless data integration in IoT solutions for diabetic elderly care, enhance data privacy with advanced technology, and design user-friendly apps for the diabetic elderly to improve the generalization and adoption of IoT IoT mobile applications in healthcare fields for elderly.
DOI: 10.6084/m9.figshare.5668204.v1
title: HPLC method development and validation for the estimation of Axitinib in rabbit plasma

description: ABSTRACT A rapid, sensitive, and accurate high performance liquid chromatography for the determination of Axitinib (AN) in rabbit plasma is developed using crizotinibe as an internal standard (IS). Axitinib is a tyrosine kinase inhibitor, used in the treatment of advanced kidney cancer, which works by slowing or stopping the growth of cancer cells. The chromatographic separation was performed on a Waters 2695, Kromosil (150 mm × 4.6 mm, 5 µm) column using a mobile phase containing buffer (pH 4.6) and acetonitrile in the ratio of 65:35 v/v with a flow rate of1 mL/min. The analyte and internal standard were extracted using liquid-liquid extraction with acetonitrile. The elution was detected by photo diode array detector at 320 nm.The total chromatographic runtime is 10.0 min with a retention time for Axitinib and IS of 5.685, and 3.606 min, respectively. The method was validated over a dynamic linear range of 0.002-0.2µg/mL for Axitinib with a correlation coefficient of r2 0.999.
DOI: 10.6084/m9.figshare.27208377.v1
title: Supplemental Tables and Figures_JDS_Y-T.Kim.2024

description: Supplementary Data for Characterization of <i>Bifidobacterium bifidum</i> growth and metabolism on whey protein phospholipid concentrate in Journal of Dairy Science
DOI: 10.6084/m9.figshare.5978596.v1
title: E12_PTsX1_processeddata_Tile2.csv

description: Processed deep sequencing datasets for "Characterization of individual human antibodies binding pertussis toxin stimulated by acellular immunization"
DOI: 10.17632/6db5t5b52x
title: Prostate Cancer Data

description: Supplementary Data 1 This data contains the Training-and-Validation Cohort from Section 2.1 of the main Article File. This cohort of patients comprises 298 individuals, out of which 131 have been diagnosed with prostate cancer (positive cases), and the remaining 167 have not (negative cases). In the header of the Excel worksheet, you can find the names of the features that correspond to each column.
Supplementary Data 2 This data contains the External Validation Cohort from Section 2.1 of the main Article File. An external patient cohort of 300 individuals is employed to confirm the generalizability of the model. This cohort includes 127 positive cases and 173 negative cases, providing an independent dataset to evaluate the robustness and performance of the developed models in diverse and real-world scenarios. In the header of the Excel worksheet, you can find the names of the features that correspond to each column.
DOI: 10.6084/m9.figshare.23661798.v6
title: Data for the microgrid at Shoals Marine Laboratory, Appledore Island, Maine

description: Appledore Island, ME, USA, Microgrid Modeling and Optimization
DOI: 10.6084/m9.figshare.29090936.v2
title: The Theory of Almost Everything

description: The Theory of Almost Everything
DOI: 10.17632/99rwxd3d4h
title: Capture RIC-seq reveals positional rules of PTBP1-associated RNA loops in splicing regulation. Ye et al.

description: Original data of gels and blots for the manuscript "Capture RIC-seq reveals positional rules of PTBP1-associated RNA loops in splicing regulation"
DOI: 10.17632/9wgk5ny69n
title: Systematic elucidation of genetic mechanisms underlying cholesterol uptake

description: Auxiliary data for the manuscript Systematic elucidation of genetic mechanisms underlying cholesterol uptake
DOI: 10.7274/28883249.v1
title: Disgustingly Pink

description: From “get ready with me” videos to reels of “the 7 essentials you need in your purse right now,” and “the latest fashion trends,” young women and teenage girls’ TikTok and Instagram feeds are filled with all the ways they need to better themselves. At first glance, these posts seem harmless; however, seeing video after video of how you need to better your life in unachievable ways leaves the self feeling inadequate.

The beauty industry is a multi-billion-dollar industry that is expected to reach almost $736 billion in global revenue by 2028. Making up more than 20 percent of the entire e-commerce market, the beauty industry has been propelled by the expansion of social media since the COVID-19 Pandemic. Feminist artists like Martha Rosler began critiquing the problems associated with the beauty industry back in the 70s, but the problem of marketing to women has only grown since. Sophisticated algorithms, propelled by watching their users’ every move, project enviable lifestyles through influencers' perfectly lit, clean, and hypnotic videos and posts. Today, the targeted social media ads, influencers promoting products, and videos telling women how to create “the perfect life” cause young women, and even younger girls, to self-objectify. 

Through mixed media drawings, I expose the absurdity of the beauty industry propelled by social media by exaggerating the images we are exposed to every day. I juxtapose digital elements of social media against drawn marks that masquerade as beauty products. Oftentimes only fragments of the image are rendered to completion, coinciding with the ways in which women are picked apart and objectified in the media. By mixing figuration and abstraction and calling on feminist theorists, I highlight the internal conflict that arises from the critical self-evaluation that I, and many other young women, have grown accustomed to with the use of the internet and social media.
DOI: 10.6084/m9.figshare.3027385.v1
title: Surface model of the natural footprint cast of T3/18 from Münchehagen (Lower Cretaceous, Germany)

description: Textured photogrammetric surface model of the natural cast of T3/18 from Münchehagen, Germany, representing the footprint of a theropod dinosaur.
DOI: 10.17632/b784h4dgsv
title: JAAD-D-24-02314

description: Supplemental Material
DOI: 10.6084/m9.figshare.28920437.v1
title: <b>Loss of nephronophthisis-associated nephrocystin-1 impairs DNA damage repair in kidney organoids</b>

description: Bulk RNA-Seq data from iPSC-derived kidney organoids under untreated conditions and after 15minutes exposure to UVC light. The dataset includes the raw counts of 6 experimental samples (including 3 biological replicates, each corresponding to 1 kidney organoid, unless specified otherwise):1) Healthy Untreated2) Healthy + UVC light treatment (2 biological replicates)3) NPHP1 knockout_1 Untreated (2 biological replicates)4) NPHP1 knockout_1 + UVC light treatment5) NPHP1 knockout_2 Untreated6) NPHP1 knockout_2 + UVC light treatment<br>
DOI: 10.6084/m9.figshare.24589188.v1
title: Results for climate landscape value factor analysis

description: Landscape value factor analysis and data
DOI: 10.6084/m9.figshare.25033967.v1
title: EV charging and LMP forecasting data

description: Supplementary materials for paper "Price-Guided Battery Model with Reserve Purchasing for Aggregating Storage-like Devices"
DOI: 10.6084/m9.figshare.29097560.v2
title: A proof of the Hartog's phenomenon

description: We can proof the Hartog's phenomenon by solving ∂ˉ equation for compact supported forms. To solve the equation, we construct the solution using convolution.
DOI: 10.17632/jtt6fjvsxw
title: green manufacturing data

description: This data contains the raw information gathered from 385 supply chain officers/practitioners of manufacturing firms in Ghana. It provides the questionnaire's constructs and their associated items or indicators and codes. The data is useful for research related to green manufacturing, dynamic capabilities (internal and external), eco-regulatory compliance and sustainable performance (economic, social and environmental). 
Based on this data, an empirical paper submitted to Heliyon revealed that green manufacturing, dynamic capabilities and eco-regulatory compliance positively affect the sustainable performance of manufacturing firms in Ghana.