cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/v9xgxb4fs7
title: Handheld XRF measurements on a Late Bronze Age Warrior Equipment

description: The database was part of ‚The Technology, Use and Manipulation of Weapons from the Late Bronze Age Transdanubia’ (No. 134910) c. project. Project No. 134910 has been implemented with the support provided from National Research, Development, and Innovation Fund of Hungary, financed under the PD_2020 funding scheme. The results are discussed in the J. G. Tarbay, B. Maróti, Z. Kis, Gy. Káli, B. Soós, The warrior returns home. Non-destructive analysis of the Late Bronze Age "warrior equipment" from the collection of the Ministry of Defense, Military History Institute and Museum, Hungary.
DOI: 10.6084/m9.figshare.28777172.v1
title: NO-induced change in the oxidation state of cytochrome c in endothelial cells monitored by resonance Raman imaging<b> </b>

description: Data for total Cytochorme C (CytC) in HAEC, HMEC, HUVEC, HCAEC cells. Total CytC was calculated based on the number of pixels (spectra) corresponding to the CytC class from obtained Raman images.Datasets of ratio of FeIII to total Fe in HAECs, HMECs, HUVECs, HCAECs after incubation with calcium ionophore A23187.Datasets of ratio of FeIII to total Fe in HAECs and HMECs after A23187 with L-NAME and A23187 with PEG-SOD treatment.Datasets of ratio od FeIII to total Fe in HAECs after incubation with NecroX, VEGF, Bradykinin, DEA-NO.Data for Raman spectra for HAECs after DAE-NO treatment.Data for Dihydrorhodamnie 123 (DHR-123) intensity for HAECs.<br>
DOI: 10.21233/ktyh-qy95
title: 64PMA pollen surface sample dataset

description: Raw data for the 64PMA pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17632/3rdnc2nzm3
title: Data for: A reef coral in the condensed Maiolica facies on the Mt. Nerone pelagic carbonate platform (Marche Apennines): the enigma of ancient pelagic deposits

description: In this dataset are provided: - digital 3D model in .PLY format of the coral Ogilvinella elegans from the Upper Jurassic of Monte Nerone pelagic carbonate platform; - comprehensive view of the four full thin sections obtained from the coral; - information about the 3D photogrammetric model.
DOI: 10.17632/7kngy38gbv
title: Data for: An Empirical Investigation on Regional Disparities in Public Expenditures: Province Level Evidence from Turkey

description: This document includes dataset used in the paper "An Empirical Investigation on Regional Disparities in Public Expenditures: Province Level Evidence from Turkey"
DOI: 10.17632/4whngps32r
title: DNA-TFAM smFRET

description: Representative raw microscopy image stacks of donor (Atto565, right panel) and acceptor (Atto67, left panel) fluorescences for LSP, HSP, and NS upon TFAM addition are provided in TIFF format. For each DNA, multiple image stacks (typically 1 ~ 3) were acquired from different sample areas to extract many single-molecule time traces for analysis. The time traces that were used to make Figure 1D-F and 3A-F are provided. Triplicate data sets were further used to obtain the mean and the standard deviation of the kinetic parameters reported in Figure 3G-K and Table S1.
DOI: 10.17632/9yzb79pypf
title: Game Frame Time data files for Multi Service Provider scenario

description: To cater to many players in AR/VR applications in the MEC network (MEN), MEN is divided into regions by each Service Provider (SP), where each region consists of multiple MEC hosts. Every region has one server, called the Region Coordinator (RC), responsible for hosting the services to process the action data for players within that region. This architecture is decentralized as the processing of action data does not occur centrally, in the cloud. In such a multiplayer decentralized architecture, the response time for a user is the sum of a) Stage 1: the time taken by the task, whether offloaded or not, b) Stage 2: time to send the output of the task from the MEC host to the RC, c) Stage 3: the time to process the output of the tasks at the RC and the time to communicate the result to the player. The maximum value of the sum of the duration for stages 1, 2, and 3 constitutes a Game Frame Time (GFT). GFT represents the maximum response time experienced by any player. An MEC Orchestrator/Controller decides which MEC hosts are RCs, which MEC hosts a UE needs to be associated with, and whether to offload UE tasks while reducing GFT. 

We formulated the Optimal Profit Problem (OPP) problem to maximize the minimum profit of all SPs with a constraint on the upper limit of the GFT. We also proposed the heuristic Decentralized multi-SP Profit maximization and Game Frame Time reduction (DmPmGFTr). Text file "Files_description_rGFT.txt" contains the description about files available in folder "DmPmGFTr". These data files are used to run the heuristic experiments. Text file "Files_description_rGFT-OPT.txt" contains the description about files available in folder "DmPmGFTr-OPP" . These files are used to run the experiments when comparing the DmPmGFTr and OPP. Note if any parameter values is missing in this raw data, it may be referred from Research paper.
DOI: 10.17632/g6sn7ppk42
title: Data from: Ocean temperature and color frontal zones in the Gulf of Mexico: Where, when, and why

description: This dataset consists of the monthly 9-km frontal gradient magnitude (FGM) of sea surface temperature and color index (CI) in the Gulf of Mexico during 08/2002 - 04/2019. Please refer to the paper "Ocean temperature and color frontal zones in the Gulf of Mexico: Where, when, and why" for detailed information.
DOI: 10.17632/stnhs36bc5
title: Balanced binary tree code for scientific applications

description: Abstract A set of easy-to-use FORTRAN routines for building and accessing data structures of the type commonly encountered in scientific applications is introduced. Fetch and insert times go as ≻ [log (n)], where n is the number of elements in the list. The routines implement AVL or height-balanced binary tree logic. Each tree is a linear integer array. The first ten elements of a tree array specify its structure and the remaining elements are dedicated to node information. Each node includes key and ... Title of program: BBTREE Catalogue Id: ABJR_v1_0 Nature of problem Typical scientific programming applications require numerous calls to one or more subroutines. The intermediate results generated by these calls are usually not saved; if the same information is required at a later stage it is simply recalculated. While wasteful of cpu power, this modus operandi is attractive because it spares the user the time and effort associated with the development of complicated data storage and retrieval algorithms. However, if the number of redundant calls to a particula ... Versions of this program held in the CPC repository in Mendeley Data ABJR_v1_0; BBTREE; 10.1016/0010-4655(89)90076-3 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.17086520.v2
title: DATA SET - EFFECTS OF PHYSICAL ACTIVITY AND DIETARY SUPPLEMENTATION ON FAT FREE MASS AND BONE MASS DENSITY DURING WEIGHT LOSS

description: Data set for a systematic review investigating the effectiveness of physical training, protein, calcium and vitamin D supplementation on the preservation of FFM expressed as FFM, BMD and muscle mass during non-surgical and surgical weight loss and of the combination of all interventions together in overweight and obese adults.<br>Abbreviations:mean.e: mean value in experimental groupsd.e: standard deviation in experimental groupbmi.e: baseline BMI in experimental groupage.e: baseline age in experimental groupn.e. number of participants in experimental groupmean.c: mean value in control groupsd.c.: standard deviation in control groupbmi.c: baseline BMI in control groupage.c: baseline age in control groupn.c: number of participants in control group <br><br>
DOI: 10.17632/br85y85xv9
title: Data for Cooked Rice as a Source of exposure of  Polyaromatic Hydrocarbons; A Public Health Concern

description: There are five categories of data. The first one named all raw data composed of PAHs determined in 54 sampled rice recipes. Only 11 out of the 16 prioritized PAHs were obtained. All the values reported are presented in mg/kg. For the 54 samples collected, each percentage contamination of the specific PAH has also been reported. 
Three main PAH groups that show carcinogenicity have been presented in category two. There are three main PAH groups: total benzo-a pyrene, PAH 4 types and PAH 8 types; however,  three PAH 8 and two PAH 4 members were obtained. The data presented here can only be processed if Palisade @Risk software version 7.2 onwards is installed. Essentially, the authors were interested in the elements for determining exposure and risks. Secondary data has also been incorporated and cited appropriately. Users would have to install the statistical software before running the analysis.
Category three displays only the distributions of the concentrations of the PAH types processed under category two. They present the type of distribution and show the 5th and 95th percentile concentrations together with the modal, min, max, mean and standard deviation.
The user must again install Palisade @Risk for category four before running the data presented. The data presents the exposure and risk determination elements for the individual non-cancer PAHs determined from the sampled rice recipes.
Category five displays only the distributions of the concentrations of the PAH types processed under category four. They present the type of distribution and show the 5th and 95th percentile concentrations together with the modal, min, max, mean and standard deviation.
DOI: 10.17632/ptfscwtnyz
title: BananaImageBD: A Comprehensive Image Dataset of Common Banana Varieties with Different Ripeness Stages in Bangladesh.

description: Type of Data: 256x256 px Banana images.
Data Format: JPEG
Contents of the Dataset: Banana varieties and ripeness stages.

Number of Classes: (1) Four most popular banana varieties in Bangladesh - Bangla Kola, Chompa Kola, Sabri Kola, and Sagor Kola, and (2) Four ripeness stages - Green, Semi-ripe, Ripe, and Overripe.

Number of Images: (1) Total Original (Raw) images of banana varieties = 2,471, Augmented to 7,413 images, and (2) Total Original (Raw) images of ripeness stages = 820, Augmented to 2,457 images.

Distribution of Instances: (1) Original (Raw) images in each class of banana varieties: Bangla Kola = 444, Champa Kola = 994, Sabri Kola = 509, and Sagor Kola = 524; (2) Augmented images in each class of banana varieties: Bangla Kola = 1332, Champa Kola = 2,982, Sabri Kola = 1,527, Sagor Kola = 1,572; (3) Original (Raw) images in each class of Ripeness stages: Green = 212, Semi-ripe = 204, Ripe = 201, and Overripe = 203; (4) Augmented images in each class of Ripeness stages: Green = 636, Semi-ripe = 609, Ripe = 603, and Overripe = 609.

Dataset Size: (1) Total size of the Original (Raw) banana varieties dataset = 17.2 MB; (2) Total size of the Augmented banana varieties dataset = 78.5 MB; (3) Total size of the Original (Raw) ripeness stages dataset = 5.55 MB; and (4) Total size of the Augmented ripeness stages dataset = 25.2 MB.

Data Acquisition Process: Images of bananas are captured using high-quality smartphone cameras.
Data Source Location: Local banana wholesale markets and retail fruit shops located in different places in Bangladesh.
Where Applicable: The dataset presents considerable potential for fostering innovation and developing automated, efficient processes across various industries, such as precision agriculture, food processing, and supply chain management. By training Machine Learning (ML) and Deep Learning (DL) models on this dataset, it becomes possible to accurately classify banana varieties and evaluate their ripeness stages. These models can be utilized to design automated systems for determining ideal harvest times, establishing banana quality control standards, analyzing consumer preferences to guide product development and marketing strategies, and streamlining the supply chain through enhanced harvesting, sorting, packaging, and inventory management. Additionally, researchers focused on advancing Computer Vision technologies in food and agricultural sciences will find the dataset valuable for improving precision farming and food processing methods. As a result, the dataset offers substantial potential for automating banana production and processing, cutting labor costs, and boosting overall operational efficiency.

Note: This dataset is an updated version of "BananaImageBD: An Extensive Image Dataset of Common Bangladeshi Banana Varieties with Different Ripeness Levels", DOI: 10.17632/ptfscwtnyz.1
DOI: 10.17632/87ctyv6chg
title: MDOL paper supplementary materials

description: Supplementary Materials related to the paper entitled "Even allocation of benefits stabilizes microbial community engaged in metabolic division of labor", including
1. Derivation of the basic model regarding the assembly of a two-step MDOL community;  
2. Generalizing the rule considering more complex pathway mechanisms; 
3. Derivation of the model regarding the assembly of a multi-step MDOL community; 
4. Experimental protocols that used for the verification of the proposed rule;
DOI: 10.17632/8pbktvbx2z
title: FEB19 Blood Rheology ARESG2 SS, SAOS, LAOS, TRIANGLE RAMP, UDLAOS

description: FEB19 Blood Rheology ARESG2 SS, SAOS, LAOS, TRIANGLE RAMP, UDLAOS
DOI: 10.17632/fgr87hhtcc
title: Data Mining Projects Topics

description: The Internet of Things and its relevant technologies will seamlessly integrate classical networks with networked instruments and devices. has been enjoying a vital role ever since it appeared, that covers from ancient instrumentation to general house objects and has been attracting the eye of researchers from domain, industry, and government in recent years. there's a good vision that each one things will be simply controlled and monitored, will be known mechanically by alternative things, will communicate with one another through net, and might even create selections by themselves. so as to create smarter, countless analysis technologies On the idea of the definition of knowledge mining and therefore the definition of knowledge mining functions, a typical data {processing} process includes the subsequent steps Data preparation: prepare the information for mining. It includes integrate information in varied information sources and clean the noise from data; extract some elements of knowledge into data processing system; preprocess the information to facilitate the information mining. Data mining: apply algorithms to the information to search out the patterns and value patterns of discovered information
DOI: 10.17632/hwmtw2ybxb
title: Data for: REE fractionation and human Gd footprint along the continuum between Paraguaçu River to coastal South Atlantic Waters

description: Sheet concentrations: Concentrations of REEs (pmol kg-1) and other parameters (salinity, pH, tubidity, dissolved oxygen, latitude, longitude, local time) of surface waters from the continuum between Paraguaçu Estuary through Todos os Santos Bay (Bahia, Brazil) and surface waters collected hourly during a 12h period at station TS (12°55'14.4'' S, 38°30'37.9'' W, Todos os Santos Bay). Sheet PAAS normalized: PAAS (Post Archean Australian Shale) normalized concentrations, Gd anomaly (Gd/Gd*), Ce anomaly (Ce/Ce*), and Nd/Er, Er/Nd and La/Yb ratios of surface waters from the continuum between Paraguaçu Estuary through Todos os Santos Bay (Bahia, Brazil) and surface waters collected hourly during a 12h period at station TS (12°55'14.4'' S, 38°30'37.9'' W, Todos os Santos Bay). Where: Gd/Gd* was calculated using the third order polynomial fit method with nine elements (Pr, Nd, Sm, Tb, Dy, Ho, Er, Tm, Yb) and Ce/Ce* = CeSN / (LaSN x PrSN)^0.5 Sheet P1 normalized: Table 1 Concentrations of REEs (pmol kg-1) and salinity of surface waters from the Paraguaçu Estuary (Bahia, Brazil). Table 2 Freshwater endmember (P1) normalized REEs and salinity of surface waters from the Paraguaçu Estuary (Bahia, Brazil). Table 3 REE removal percentage of surface waters from the Paraguaçu Estuary (Bahia, Brazil). The percentage of removal (%REEPx) was calculated as indicated bellow: %REMOVAL_Px=[1-(REE_Px/REE_P1)]×100% Where %REMOVAL_Px= The percentage of REE removal at the station x, REE_Px= the concentration of REE at the station x of the estuary; and REE_P1= the concentration of REE at the station P1 of the estuary.
DOI: 10.17632/g58gz323xv
title: Social enrichment improves affective state and foraging behavior while maintaining growth performance in broiler chickens

description: This study hypothesizes that broiler chickens exposed to social enrichment (n = 48) through regular positive human interactions will exhibit enhanced behavioral welfare indicators such as increased exploratory behaviors (locomotion, foraging), a reduced fear response (measured through tonic immobility and attention bias tests), a preference for sweet and umami compounds, and improved growth performance when compared to those exposed solely to physical enrichment (n = 48)(e.g., perches, platforms, and straw bales). 
The data analysis includes behavioral observations capturing both the frequency and duration of various behaviors in broiler chickens, such as feeding, drinking, locomotion, lying, preening, dustbathing, interaction with environmental enrichment (perches, platforms), and social behaviors like mock fighting and gentle pecking, as well as foraging. The dataset also contains information from the attention bias test, which measures the duration of behaviors such as first step, begin feeding, time spent feeding, and resume feeding, along with binary scores (1-0) indicating the presence or absence of vigilance behaviors like erect posture, neck stretching, looking around, and freezing. In the section on sweet and umami taste preferences, the data reflect the consumption of two matrices, one neutral with water and another containing sucrose or monosodium glutamate (MSG), calculated by subtracting the remaining solution from the total offered. The results of the tonic immobility test are also included, which record the time in seconds each bird remained immobile. Finally, the productive data encompass parameters such as average daily gain (ADG), average daily feed intake (ADFI), feed conversion ratio (FCR), and final body weight (BW), measured throughout the 43-day production cycle to evaluate the impact of different enrichment strategies on broiler productivity.
DOI: 10.17632/vcz5npdw9v
title: Supplementary material - Baricitinib combination treatment for severe to very severe alopecia areata

description: Comparison of the SALT scores between patients treated with monotherapy and those who received coadjuvant treatment.
DOI: 10.6084/m9.figshare.28618349.v1
title: CosMx 6000-plex PDAC dataset - embargoed gene names

description: 6000plex CosMx data from PDAC tumors, as used in Figure 3 of Danaher et al. 2025, "InSituCor: exploring spatially correlations among genes conditional on the cell type landscape".This dataset was created for a different manuscript, still in preparation. To preserve the novelty of that manuscript, we have obscured gene names not appearing in the InSituCor paper. The full dataset, embargoed until 2026, is here: https://figshare.com/articles/dataset/CosMx_6000-plex_PDAC_dataset/28299497<br>
DOI: 10.17632/9c7myjbjbx
title: Exploring the Challenges of Stock Taking and Valuation in Small and Medium-sized Enterprises (SMEs) in Nigeria

description: This research project explores the challenges of stocktaking and valuation faced by Small and Medium-sized Enterprises (SMEs) in Nigeria. It investigates the reasons behind these challenges and their impact on financial reporting, and it proposes recommendations to address them. Surveys and interviews with SME managers and owners are among the qualitative and quantitative research techniques used in the study. Key findings reveal that SMEs in Nigeria encounter significant difficulties in accurately valuing their inventory due to issues such as inaccurate record-keeping, limited access to technology, and a lack of skilled personnel. These challenges hinder financial transparency and potentially affect business performance. The study offers practical recommendations and policy suggestions to enhance stock-taking and valuation practices in Nigerian SMEs.
DOI: 10.17632/d3vmdttr3g
title: Data for: Optimal design for cryogenic structured packing column using particle swarm optimization algorithm

description: 1. Research data used in this research; 2. FORTRAN source program of MI-PSO.
DOI: 10.17632/2dsgypk45h
title: Millennial-timescale quantitative estimates of climate dynamics in central Europe from earthworm calcite granules in loess deposits

description: This database contains Supplementary Data 1 to 3 and the description published in the following article Millennial-timescale quantitative estimates of climate dynamics in central Europe from earthworm calcite granules in loess deposits by Prud'homme et al., in Communications in Earth and Environment (2022)
DOI: 10.17632/7dfywhmnnz
title: Data for: Understanding usage of homeopathy medicines for prophylaxis against COVID-19 and estimation of the incidence of COVID-19 or COVID-19 like symptoms in the cohort of homeopathic users

description: Aggregated data of survey and retrospective cohort study carried out to estimate the incidence of COVID-19 and COVID-19 like symptoms and some demographic features in 11,426 participants from 18 countries.
DOI: 10.5281/zenodo.15226123
title: Daily Station Water Level in the Sacramento-San Joaquin Delta, 1915-2023

description:  

The dataset contains daily maximum and minimum water at twenty-five sites within the Sacramento-San Joaquin Delta, including newly-digitized data spanning the years 1915-1982. Quality assurance procedures and datum corrections were applied to provide time series referenced to a common geocentric datum. Data-rescue and digitization efforts extend available records by several decades, and thus  facilitate analysis of multiple interconnected processes in the Delta, including sea level rise, subsidence, tides, flood hazards, climate patterns, shoreline/habitat changes, bathymetric modifications, and water resources management.
DOI: 10.5281/zenodo.15211703
title: Bird nesting habitat in knotweed (Polygonum cuspidatum s.l.) in North America and beyond
DOI: 10.5281/zenodo.15211704
title: Bird nesting habitat in knotweed (Polygonum cuspidatum s.l.) in North America and beyond
DOI: 10.17632/nvf3zxv9wz
title: Data for: What's the norm in normalization? A frightening note on the use of RT-qPCR in the livestock science

description: Survey of &gt;200 article using RT-qPCR related to livestock science published in major journals from 2013 to 2017
DOI: 10.6084/m9.figshare.27281064.v1
title: Local Stability Compensation

description: <b>bpRNA_data</b> contains tab-delimited files for bulges, hairpin loops, and internal loops in bpRNA-1 and contains a list of the structures that are a part of bpRNA-1m90, which may be used to filter the structures down to a subset with &lt; 90% sequence identity. The tab-delimited text files contain information (including calculated thermodynamic values) about each instance of a bulge, hairpin, and internal loop in bpRNA-1m as well as information about the stems adjacent to the each loop.<b>library_data</b> contains DMS reactivity data in the form of the original filtered sequence libraries used in the study in .csv format, as well as structure type energy (.ste) files for both the library sequences as designed and the library sequences as folded according to ViennaRNA's RNAfold. Lastly, the .txt files contain processed tab-delimited data collected for each sequence in each library, including free energies, average reactivities, and area under the receiver operator curve (AUROC) values for different localities.