cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19964247.v1
title: Consensus on the standard terminology used in the nutrition care of adult patients with chronic kidney disease

description: Abstract This nutrition consensus document is the first to coordinate the efforts of three professional organizations - the Brazilian Association of Nutrition (Asbran), the Brazilian Society of Nephrology (SBN), and the Brazilian Society of Parenteral and Enteral Nutrition (Braspen/SBNPE) - to select terminology and international standardized tools used in nutrition care. Its purpose is to improve the training delivered to nutritionists working with adult patients with chronic kidney disease (CKD). Eleven questions were developed concerning patient screening, care, and nutrition outcome management. The recommendations set out in this document were developed based on international guidelines and papers published in electronic databases such as PubMed, EMBASE(tm), CINHAL, Web of Science, and Cochrane. From a list of internationally standardized terms, twenty nutritionists selected the ones they deemed relevant in clinical practice involving outpatients with CKD. The content validity index (CVI) was calculated with 80% agreement in the answers. The Grading of Recommendations, Assessment, Development and Evaluation (GRADE) framework was used to assess the strength of evidence and recommendations. A total of 107 terms related to Nutrition Assessment and Reassessment, 28 to Diagnosis, nine to Intervention, and 94 to Monitoring and Evaluation were selected. The list of selected terms and identified tools will be used in the development of training programs and the implementation of standardized nutrition terminology for nutritionists working with patients with chronic kidney disease in Brazil.
DOI: 10.6084/m9.figshare.25093298.v1
title: Sanchez-Garcia et al. 2024 - Global Ecology and Conservation.

description: Raw data and analyses R code of the paper:Sánchez-García, D., Wynhoff, I., Kajzer-Bonk, J., Sztencel-Jabłonka, A., Nowicki, P., Casacci, L. P., and Witek, M. 2024. Temporal and spatial variation of morphological traits and genetic structure in <i>Phengaris teleius</i> myrmecophilous butterflies following habitat and climate changes three decades after reintroduction. Global Ecology and Conservation.<i>Phengaris teleius</i> body, wing morphometrics, genetics, temperature and metapopulation connectivity raw data and R code:Body traits raw data.Landmark raw data for wing morphometric analysis.Microsatellite raw data.Temperature raw data.Temporal metapopulation connectivity raw data.Morphometric analyses R code.Temperature analyses R code.Temporal metapopulation connectivity analysis R code.<br>
DOI: 10.6084/m9.figshare.29098004.v1
title: PDData_17725.sav

description: Dataset in spss for vaccination intents, moral appeals, ideology and emotions
DOI: 10.17632/fzj3kjfzhv
title: Data for: Genetic Implications of Fracture-Controlled vs. Regional Fluid Flow in Carlin-type Gold Deposits, Nevada

description: Gas data for Carlin-type deposits, Nevada
DOI: 10.17632/s8r4pzkr69
title: Supplementary _Table_JDS_2022_Bernard_et_al.pdf

description: Primer and probe sequences and conditions used for real-time RT-PCR for analysis of studying mammary lipogenic gene expression and milk production in dairy goats fed concentrates supplemented with palm oil fatty acids or rapeseed oil
DOI: 10.17632/x2txw2dw4t
title: Suitability of different rice varieties into value addition

description: The following were the reserch questions;Does rice variety affect the proximate composition, functional properties and cooking characteristics of rice flour? and Do different varieties of rice have favorable proximate analysis, functional properties and cooking characteristics for product development?Proximate composition, functional properties and cooking characteristics of rice flour namely moisture , ash, crude protein , swelling index, hot paste and gelatinization temperature for the following rice varieties: Lifuwu, Senga, Nerica, Nunkile, Wambone, Faya, Kilombero, Mpheta, Mpatsa, Nazolo, Mtupatupa, Kayanjamalo and Katete were determined using official analytical methods. Katete was high in protein (7.47g/100g). MC (13.04g/100g) and SI (5.41g/g) were highest in Faya 14M69. Kayanjamalo formed a thick paste as compare to other varieties. Nerica 4, Faya14M69, Mtupamtupa, Kilombero, Nunkile, Nanzolo and Mpatsa had an intermediate GT (70-74oC), while Mpheta, Kayanjamalo, Katete, Senga, Wambone and Lifuwu had high GT (74.5 -80oC). Rice with intermediate GT break easily during cooking.
DOI: 10.6084/m9.figshare.22560340.v1
title: Altitude, latitude, and climate zone as determinants of mountain hare (Lepus timidus) coat colour change

description: We utilized images from camera traps that were deployed by the SCANDCAM project (viltkamera.nina.no), originally designed to monitor Eurasian lynx (<em>Lynx lynx</em>). Camera traps were deployed in multiple study areas in an extensive grid with approximately one camera per 50 km2 grid cell (Figure 1). For this study, we selected all mountain hare records from the period between 25th November 2010 and 25th June 2019. Images containing mountain hares were recorded at 678 locations from 2010-2019 spanning a latitudinal gradient from 58°N to 69° N and altitudes from 0 to 841 m a.s.l. in Norway (Figure 1). To reduce pseudo-replication, we discarded observations recorded within 60 minutes of the previous observation. When mountain hares were identified, we classified moulting stage in three categories estimating the proportion of the hares’ coat (excluding the long white belly) which was white. 1) Hares with ≥90% white fur were classified as “white”, 2) hares with ≤10% white fur were classified as “brown”, and 3) all other hares were classified as “moulting”. All images were accessed on viltkamera.nina.no and were visually classified by one of two observers, and quality controlled whenever the observer was uncertain of how to classify the images.
DOI: 10.6084/m9.figshare.24953433.v1
title: Biodiversity increases resistance of grasslands against plant invasions under multiple environmental changes

description: Biodiversity often helps communities resist invasion. However, it is unclear whether this diversity–invasion relationship holds true under environmental changes. Here, we conduct a meta-analysis of 1010 observations from 25 grassland studies in which plant species richness is manipulated together with one or more environmental change factors to test invasibility (measured by biomass or cover of invaders). We find that biodiversity increases resistance to invaders across various environmental conditions. However, the positive biodiversity effect on invasion resistance is strengthened under experimental warming, whereas it is weakened under experimentally imposed drought. When multiple factors are imposed simultaneously, the positive biodiversity effect is strengthened. Overall, we show that biodiversity helps grassland communities resist plant invasions under multiple environmental changes. Therefore, investment in the protection and restoration of native biodiversity is not only important for prevention of invasions under current conditions but also under continued global environmental change.
DOI: 10.6084/m9.figshare.25738128.v1
title: Supplementary Material for: Comprehensive Genomic Characterization in Ovarian Low-Grade and chemosensitive and chemoresistant High-Grade Serous Carcinomas

description: Introduction: Genomic characterization of serous ovarian carcinoma (SOC), which includes low-grade serous carcinoma (LGSC) and high-grade serous carcinoma (HGSC), remains necessary to improve efficacy of platinum-based chemotherapy. The aim was to investigate the genomic variations in these SOC groups, also in relation to chemoresponse. 
Methods: 45 samples SOC were retrospectively analyzed by Next Generation Sequencing (NGS) on DNA/RNA extracts from formalin-fixed, paraffin-embedded (FFPE) tumor samples obtained at diagnosis. HGSCs were classified as platinum-resistant and platinum-sensitive. 
Results: In the LGSC group, 44% of the carcinomas had mutually exclusive variants in the RAS/RAF pathway, while additional likely oncogenic variants in the CDKN2A, SMARCA4 and YAP1 genes were observed in the remaining LGSCs. Tumor mutation burden (TMB) was significantly lower in the intrinsically chemoresistant LGSC group than in the HGSC group. In the HGSC cohort, TP53 variants were found in 90% and homologous recombination repair (HRR) pathway variants in 41% of the neoplasms. HGSCs of the chemoresistant group without classic mutations in the HRR pathway were characterized by additional variants in FGFR2 and with a FGFR3::TACC3 fusion. In addition, HGSCs showed MYC, CCNE1 and AKT2 gains that were almost exclusively observed in the chemosensitive HGSC group.
Conclusions: These results suggest that very low TMB and MYC, CCNE1 and AKT2 gains in SOC patients may be biomarkers related to platinum treatment efficacy. Thorough genomic characterization of SOCs prior to treatment might lead to more specific platinum-based chemotherapy therapy strategies.
DOI: 10.17632/3rbywmpy9j
title: Cabaçal Project - Dataset

description: This is the dataset created to develop the article "GEOMETALURGICAL APPROACH APPLIED TO A NEW POLYMETALIC DEPOSIT OF COPPER, GOLD AND SILVER IN CENTER WEST REGION OF BRAZIL".
DOI: 10.6084/m9.figshare.10282085.v1
title: Automatic extraction of road intersection points from USGS historical map series using deep convolutional neural networks

description: Tagged image tiles as well as the Faster-RCNN framework for automatic extraction of road intersection points from USGS historical maps of the United States of America. The data and code have been prepared for the paper entitled "Automatic extraction of road intersection points from USGS historical map series using deep convolutional neural networks" submitted to "International Journal of Geographic Information Science". The image tiles have been tagged manually. The Faster RCNN framework (see https://arxiv.org/abs/1611.10012) was captured from:https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md
DOI: 10.6084/m9.figshare.11796747.v1
title: Brownbanded bamboo shark C. punctatum genome assemby Cpunctatum_v2.1

description: This file contains genome sequences of the brownbanded bamboo shark <i>Chiloscyllium punctatum</i>, which resulted from scaffolding the existing genome assembly Cpunctatum_v1.0 with <i>in vitro</i> proximity ligation method 'Chicago' (Dovetail Genomics) using HiRise, applying the non-standard length cutoff of 300bp for input genome sequences.<br><br>
DOI: 10.6084/m9.figshare.1250928.v2
title: MYM medium

description: Maltose-Yeast Extract-Malt Extract (MYM) medium
DOI: 10.6084/m9.figshare.27255627.v1
title: Dataset used in training our artificial neural network model

description: Here we present the input-output dataset used in training our artificial neural network model to predict the performance of an InP Mach-Zehnder modulator with arbitary key design parameter values. The data have been normalized to zero-mean and unit variance to ensure equal weight of each input and output parameters in deep learning process.
DOI: 10.17632/6wzjdgbvsz
title: Base de datos de entrevistas asociadas a la atención y acceso a salud de personas sordas

description: Base de datos con entrevistas a personas sordas sobre la atención y acceso a la salud en una ciudad del sur de Chile.
DOI: 10.17632/vd6r794bg4
title: Multidimensional Quality of Life in Cauvery River Basin, India

description: Quality of Life (QoL) is a multidimensional concept which includes the physical, social, economic, and environmental well-being of humans. This research maps the multidimensional QoL over the administrative districts in southern India's Cauvery River basin. It quantifies QoL considering four main indices, i.e., Health, Education, Living Standard, and Environment, and 66 sub-indices. The data on the sub-indices have been collected, extracted, and compiled from different local, regional, national, and international sources. Remote Sensing data and geospatial techniques have been used for better mapping and analysis. The tabulation and normalization of the data were done in MS Excel Software. As the variables had different units, they were normalized using the standard formula. The normalized variables were then checked for correlation, using Spearman correlation in R studio. The redundant variable was then removed from the further analysis. The study finds that Kozhikode (Kerala), Bengaluru (Karnataka), and Coimbatore (Tamil Nadu) have the highest scores in the QoL index, whereas Chamarajanagar (Karnataka), Chikkaballapura and Ariyalur (Tamil Nadu) have the lowest scores. In addition, the high correlation of the sanitation sub-index (0.78) and household latrine indicator (0.78) with the QoL index showed credence over the relation and importance of the sanitation facility concerning QoL. Also, a high correlation with drinking water availability emphasizes developing and managing drinking water accessibility and sanitation facilities for better livability. Furthermore, the dimension of the living standard showed highly correlated and variance-holding subindexes (Sanitation - 0.78; Household Cooking and Fuel - 0.66; Occupancy-0.59 correlation and -0.37, 0.36, 0.38 variance score respectively). Dimension-wise, Kerala scored highest in health (0.71) and environmental quality (0.76), whereas Tamil Nadu and Puducherry scored highest in education quality (0.65) and living standards (0.56) respectively. The dataset can be used for further research and analysis related to QoL in the Cauvery River Basin. It will help in better planning and policy-making to improve the QoL in the region.
DOI: 10.6084/m9.figshare.12957254.v1
title: Shapefile.zip

description: This contain shapefile of land use 2013 and 2019 and also the suitability with spatial plan.<br>
DOI: 10.6084/m9.figshare.28562549.v2
title: <b>Field experiments and a meta-analysis reveal a minor influence of nitrogen addition on phosphorus fractions in forests</b>

description: nthropogenic nitrogen (N) inputs can significantly impact nutrient cycling and ecosystem functioning in terrestrial ecosystems. However, the effects of N addition on phosphorus (P) cycling processes in forest ecosystems remain unclear. In this study, we combined data from a long-term (11-year) N addition experiment across seven different forests ranging from temperate to tropical biomes, with a global meta-analysis from 88 relevant publications, to investigate the responses of P cycling-related variables to N inputs in forest ecosystems. We found that N addition had little effect on most P cycling-related variables (e.g., leaf P, soil total P, soil available P, soil P fractions, and microbial biomass P) across the studied forest ecosystems.The meta-analysis highlighted that N-induced changes in P cycling were highly variable. Only a few variables, such as the leaf P concentration and the activity of soil acid phosphatase, presented significant responses to N addition and changed with climatic zone and the amount and duration of N inputs.Our study suggests that P cycling processes in forest ecosystems remain largely unaffected by N inputs. Our findings contribute to a better understanding and prediction of biogeochemical cycles in the context of N deposition related to anthropogenic activities and global climate change.
DOI: 10.17632/nbytrssfy6
title: Dataset: A conceptual framework to develop servant leaders

description: ABSTRACT
Purpose: The general aim of this study was to determine the personal and organizational antecedents and barriers to develop servant leaders. The results were used to conceptualize a framework to develop servant leaders effectively in organizations. 
Research method: A qualitative research design was used in the form of focus groups. A non-probability sample of 39 managers was drawn from a construction company. 
Findings: The results indicated that servant leadership development was promoted by personal antecedents such as personal attributes, competence, life experiences, and commitment and by organizational antecedents such as development opportunities, leadership support, performance management, 360 surveys, communication, strategic alignment, and organizational culture. Servant leadership development was furthermore hindered by personal barriers such as personal attributes and life experiences and by organizational barriers such as organizational demands, lack of leadership support, and constant changes. 
Managerial implications: A five-phase framework is proposed by this study to develop servant leaders effectively in an organization. Management and practitioners can use this framework to design and implement servant leadership development programs effectively in organizations.   
Keywords: Leadership development, servant leadership, barriers, antecedents.
DOI: 10.25452/figshare.plus.27208827.v1
title: <b>ODS2 - Dataset of smear microscopy images labelled to evaluate algorithms for bacilli detection</b>

description: <b>ODS2 - Dataset of smear microscopy images labelled to evaluate algorithms for bacilli detection</b>This dataset is composed of 4,920 extended depth focus (EDF) images.The EDF images resulted from the fusion of the stacks of DF images from the ODS1 dataset. It used the stacks of images from the slides 01 to 15.EDF images are 24 bits (true color images) and the dimension are 1388 × 1040 pixelsFor all 4,920 EDF images another image with the bacilli labelled was generated.ODS2 was generated to enable the training, validating, and testing of algorithms for bacilli detection.The folders are individually stored as tar.gz archives, for a total size of 16 GB.
DOI: 10.6084/m9.figshare.28710860.v1
title: replication_package.zip

description: Our research hypothesizes that a systematic and automated source test case generation framework can significantly enhance the detection of fairness faults in large language models (LLMs), especially intersectional biases. To test this, we developed GenFair and compared it against template-based and grammar-based (ASTRAEA) methods. We generated test cases using 15 manually designed templates, applied structured transformations, and evaluated the outputs of GPT-4.0 and LLaMA-3.0 under metamorphic relations (MRs). Fairness violations were identified when the tone or content changed unjustifiably between source and follow-up responses. GenFair demonstrated superior fault detection rates (FDR), higher syntactic and semantic diversity, and better coherence scores compared to the baselines. These results indicate that GenFair is more effective at uncovering subtle and intersectional biases, making it a robust tool for fairness testing in real-world LLM applications.
DOI: 10.6084/m9.figshare.10298078.v1
title: Newick tree files

description: Tree files (Newick) for all genes analysed and included in the paper "Phylogenetic evidence for the reductive evolution of stomata in bryophytes". Additional genes that were analysed, but not included in the paper are also included.
DOI: 10.6084/m9.figshare.20055221.v2
title: ozone

description: ozone figure data
DOI: 10.6084/m9.figshare.26037169.v1
title: Preprocessed CT-scan images: ROI extracted from CT Scan images.

description: NSCLC tumour ROI
DOI: 10.6084/m9.figshare.28585943.v7
title: Abundance and diversity of haemosporidian parasites dramatically differ among closely related vireo species

description: Wiley et al., 2025 (in prep) Abundance and diversity of haemosporidian parasites dramatically differ among closely related vireo species.In this study, we use pectoral tissues and whole blood samples of three closely related, elevational replacement species of vireo to characterize infection dynamics of avian Haemosporidians across their summer breeding sites in the American Southwest. We asked: What is the distribution, prevalence, and pathogen loads (parasitemia) experienced across these closely related species (Bell’s vireo: n = 20, gray vireo: n = 170, and plumbeous vireo: n = 58) during their breeding season in the southwestern U.S.? And what factors (i.e. host traits: species; environmental factors: temperature, precipitation; geographic features: latitude, elevation) are correlate with infection status and parasitemia?Data are archived on FigShare: https://doi.org/10.6084/m9.figshare.28585943DATASET All birds were sampled during summer months (May–August) spanning the years 1995–2019 across 27 unique sites in New Mexico and a single site in Utah, under appropriate federal, state, and local permits. Majority of samples were accompanied by vouchered specimens that were archived at the Museum of Southwestern Biology (MSB), University of New Mexico (UNM), except in the case of gray vireos that were released after sample collection. Samples used in this study represent 248 wild birds of three closely related vireo species (Bell’s vireo: n = 20, gray vireo: n = 170, and plumbeous vireo: n = 58). We screened samples via nested PCR amplification of the cytochrome b region for Haemoproteus and Plasmodium parasites and positive infections were quantified via microscopy following the protocol described in Valkiūnas (2005). Parasitemia represents the % of parasites counted across 10,000 red blood cells screened.We identified and compared haplotypes to published records stored in the public databases GenBank (National Center for Biotechnology Information, US National Library of Medicine) and MalAvi (Bensch et al., 2009). Haplotypes that differed by one or more base pairs (~0.2% sequence divergence) from published sequences on GenBank or MalAvi were considered novel and named following MalAvi conventions. All sequences are uploaded to GenBank and MalAvi under [Accession Number #####] & [Accession Number #####].Additionally, we documented aspects of sampling locality (i.e. latitude, longitude, elevation), and environmental factors known to impact pathogen prevalence and distribution (i.e. WORLDCLIM 19 bioclimatic variables to do with temperature and precipitation).Analysis code is available on GitHub: https://github.com/dlfwiley/Vireo-Malaria-Project. Majority of data, except in the case of gray vireos released after sample collection, are linked to vouchered host and parasite specimens, housed at the Museum of Southwestern Biology (MSB) at the University of New Mexico, USA. Specimen records are accessible in the Artcos database (https://arctos.database.museum/).
DOI: 10.17632/fwcjyc754h
title: DroNER: Dataset for Drone Named Entity Recognition

description: The dataset is constructed using several drone images acquired from VTO Labs Drone Forensic Dataset [1]. The dataset's main objective is to attempt performing NER on the human-readable messages contained in the drone flight log files. Six entity types, i.e., component, action, issue, parameter, state, and function, are identified as the region of interest in the domain problem, which is then used to label the entities mentioned in a log message. The entity type identification is performed in the context of drone forensics, as the original intention of constructing this dataset is to build an information extraction model to help the forensic investigator pinpoint an incident-related log record. The NER dataset is annotated using consistent and contextual tagging to compare the effect of contextual tagging on the NER model's performance. Contextual tagging considers surrounding words and uses the longest span as the context to determine which entity type of a particular word belongs to. Contrarily, consistent tagging uses the shortest span as the context of a word within a sentence. The train and test set are split based on the drone models resulting in a proportion of 76:24 since the number of messages extracted from each drone image is uncontrollable.