cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23959251.v1
title: Honey bee (<i>Apis mellifera</i> L.) and wild bee resource competition: how big is this problem?

description: The Western honey bee (<i>Apis mellifera</i> L.) has been managed by humans for centuries for honey, wax, and most recently, crop pollination. The deep history of human association with this species has enabled agricultural practices that reduce biodiversity of pollinating wild bees, largely through habitat modification. However, there is also interest in determining if <i>Apis mellifera</i> presence itself contributes significantly to wild bee population declines. Herein we review the evidence of <i>Apis mellifera</i> competitive impacts on wild bees, with a particular emphasis on the scope of effects associated with resource competition. Despite accelerated research in this area, only ~13% of resource competition studies evaluated fitness effects of <i>Apis mellifera</i> on wild bees, a research gap that has persisted for over 20 years. About three times as many studies have evaluated effects of <i>Apis mellifera</i> on wild bee community parameters, including wild bee abundance, which provides a measure of a landscape’s “bee carrying capacity”. Just over 20% of these studies show a negative correlation with <i>Apis mellifera</i> abundance. In a novel additional analysis of 68 studies measuring bee communities for other reasons found negative correlations between <i>Apis mellifera</i> abundance and any measure of the wild bee community for only 10; conversely, 10 studies show positive relationships between <i>Apis mellifera</i> and wild bee abundance, and most show no relationship at all. We found no pattern to explain which habitat types are more vulnerable to <i>Apis mellifera</i> competition, nor is the literature clear on impactful densities of managed hives in particular environment types. Overall, the data do not support a generalized and widespread negative relationship between <i>Apis mellifera</i> abundance and wild bee fitness and community health. Rather, conservation measures that reliably improve wild bee health (habitat preservation and restoration) will likely have positive effects on <i>Apis mellifera</i>, and <i>vice versa</i>.
DOI: 10.6084/m9.figshare.26827246.v1
title: Database Semantic Web and Medical Diagnosis SLR

description: Semantic Web (SW) constitutes a significant evolution in management and application of information in different disciplines including medicine, where it can be useful in complex thought processes such as medical diagnosis. Objective of this study was to know how SW is related to medical diagnosis within the context of complexity. To achieve it, a systematic literature review (SLR) was carried out, with keywords “Semantic Web” and “Medical Diagnosis” from 2014 to 2024, using the SCOPUS (8 documents) and WoS (6 documents) databases. answering 4 questions, grouped into two topics: Characteristics of the studies and Semantic Web and Diagnosis. Results indicated: a) In addition to “Semantic Web” and “Medical Diagnosis” The most frequent keywords are: “semantic segmentation” and “medical images”, which suggests that greatest application of SW is in images; b) A single semantic methodology is not observed in studies, however, they are based on three main methodologies: fuzzy semantics, neural networks and semantic segmentation; c) Main uses of SW in medicine are in: Diagnosis, Prediction and Decision Making; d) Types of complex thinking identified are: Scientific thinking and Systemic thinking. This study contributes to understanding how SW has been applied to complex thought processes as relevant as medical diagnosis and contributes to understanding how SW has evolved with a view to its application in other areas of medicine.
DOI: 10.6084/m9.figshare.28553693.v1
title: Experimental Data on Unconfined Compressive Strength of Cement-Treated Clayey Silt from Northwestern Iași, Romania

description: OverviewThis dataset contains experimental measurements of Unconfined Compressive Strength (UCS) for cement-treated clayey silt (clSi) collected from northwestern Iași, Romania. The data represents the results of a comprehensive laboratory testing program investigating the influence of cement content, curing period, and compaction rate on the mechanical properties of stabilized soil.Material CharacteristicsSoil PropertiesThe soil used in this study is identified as clayey SILT (clSi) according to EN ISO 14688 standards, with the following composition and properties:<b>Grain size distribution</b>: 64% silt, 27% clay, 9% sand<b>Atterberg limits</b>: Liquid Limit (LL) = 36%, Plastic Limit (PL) = 24%, Plasticity Index (PI) = 12%<b>Physical properties</b>: Bulk unit weight (γ<sub>bulk</sub>) = 16.84 kN/m³, moisture content (w) of 20.24%<b>Void characteristics</b>: Void ratio (e) = 0.87, Porosity (n) = 38.9%, Degree of saturation (Sr) = 0.62<b>Compaction characteristics</b>: Optimum Moisture Content (OMC) = 14.9%, maximum dry unit weight (γ<sub>d,max</sub>) = 15.37 kN/m<sup>3</sup>Cement PropertiesThe stabilization agent used was Portland Cement (PC) type CEM II/B-M(S-LL) 42.5 R conforming to the European standard EN 197-1. This composite cement is characterized by:<b>Composition</b>: 65–79% clinker, 6–20% granulated blast furnace slag (S), and 6–20% limestone (LL) by mass<b>Chemical composition</b>: 56.2% CaO, 19.8% SiO₂, 7.1% Al₂O₃, among other oxides<b>Strength class</b>: 42.5 MPa minimum compressive strength at 28 days<b>Early strength</b>: Rapid initial strength developmentExperimental MethodologyCylindrical specimens (3.8 cm diameter, 7.6 cm height) were prepared with varying cement contents (0%, 2.5%, 5%, 7.5%, and 10% by dry weight) and compacted at different rates (0.75, 1.0, and 1.25 mm/min) using static compaction. The specimens were prepared at the optimum moisture content of 14.9% and target dry unit weight of 15.37 kN/m³. The cement-treated samples were cured under controlled conditions (23°C) for periods of 1, 7, 14, and 28 days before UCS testing.Dataset ContentsThe dataset includes 185 UCS measurements with the following variables:Cement content (% by dry weight of soil)Curing period (days)Compaction rate (mm/min)Unconfined Compressive Strength (kPa)Research ApplicationsThis dataset supports research on:Soil stabilization techniques for infrastructure developmentPredictive modeling of cement-treated soil strength parametersOptimization of cement dosage for ground improvement projectsMachine learning applications in geotechnical engineeringTime-dependent behavior of stabilized soilsData FormatThe primary dataset is provided in CSV format.
DOI: 10.17632/pw6rj45hhn
title: GCC-Intangible assets-value relevance

description: The data describe the information about intangible assets and value relevance in GCC countries
DOI: 10.6084/m9.figshare.26031562.v1
title: <b><i>How do parental characteristics impact children's emotional and behavioural development?</i></b>

description: CBCL
DOI: 10.6084/m9.figshare.28770839.v1
title: EEI_PAS_BRAZIL

description: Shapefile of non-native freshwater fish species.
DOI: 10.17632/4dksb2x4zn
title: Dataset on the environmental growth conditions of methanogens, homoacetogens and sulfate reducers

description: This dataset describes the environmental growth conditions of the three major hydrogen oxidizing microbial groups (methanogens, homoacetogens and sulfate reducers) as detailed for each individual strain. Optimum and critical values for temperature salinity and pH are given for each strain along with data on pressure tolerances and special nutrient requirements where this information is available. The references are listed after each strain to enable more detailed reading.
DOI: 10.17632/xbngxkxfvx
title: Hydrodynamic Optimization of a Horizontal-Axis Hydrokinetic Turbine for the River Ganga Using a Semi-Analytical Approach

description: The dataset comprises hydrofoil DAT files and HARP_Opt results file, which have been utilized in the research study and documented accordingly. The hydrofoil DAT files included in the dataset are as follows:
63_424.dat
cav_2003.dat
E_817.dat
E_818.dat
E_837.dat
NAC66_mod_09.dat
NAC66_mod_12.dat
NAC66_mod_15.dat
naca_0012.dat
naca_63-218.dat
naca_63-818.dat
NACA_4418.dat
Riso_12.dat
Riso_15.dat
Riso_18.dat
Riso_21.dat
S822.dat
S825.dat
S833.dat
SG_6043.dat
DOI: 10.6084/m9.figshare.13627580.v1
title: Virtual screening of epalrestat mimicking selective ALR2 inhibitors from natural product database: auto pharmacophore, ADMET prediction and molecular dynamics approach

description: Epalrestat is the only effective aldose reductase (ALR2) inhibitor available in the market for the treatment of diabetic neuropathy. Clinical effectiveness of epalrestat in diabetic neuropathy encouraged us to develop some more ALR2 inhibitors with a better therapeutic profile. Herein, we utilized the pharmacophoric features of epalrestat to search some novel ALR2 inhibitors from an InterBioScreen database of natural compounds. ADME and PAINS filters were applied to provide drug-likeness and to remove toxicophores from the screened hits. The pharmacophoric features of 4-hydroxy-2-nonenal (HNE), a well-known substrate of ALR1, were also explored to identify selective ALR2 inhibitors. The structure-based analysis was then adopted to find out the molecules showing interactions with ALR2 which are crucial for their therapeutic activity. These interaction patterns and binding modes were compared with that of epalrestat. Molecular dynamics (MD) analysis was also carried out to get more insight into the interactions of screened hits in the catalytic domain of ALR2. Additionally, the top hits were docked and simulated with aldehyde reductase (ALR1) to determine their selectivity for ALR2 over ALR1. Overall, five hits including <b>STOCKIN-44771, STOCKIN-46041, STOCKIN-59369, STOCKIN-69620</b> and <b>STOCKIN-88220</b> were found to possess a good therapeutic profile in terms of key interactions, binding energies and drug-likeness. Two hits, <b>STOCKIN-46041</b> and <b>STOCKIN-59369,</b> were identified as the most selective ALR2 inhibitors when assessed their selectivity profile. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.20394414.v1
title: Warming reduced flowering synchrony and extended community flowering season in an alpine meadow on the Tibetan Plateau

description: 1. The dataset including two parts data, one is climate data, the other one is community level flowering season data. 2. The dataset has six treatments, including CK, DP(decrease precipitation), IP(increase precipitation), W(warming), W+DP, W+IP 3. The dataset including two years data, including 2019 and 2020. 4. Each treatment has three replicate.
DOI: 10.6084/m9.figshare.22188433.v1
title: Synthetic spectra challenging dataset

description: Challenging dataset to evaluate ML/DL models for the classification of synthetic spectra
DOI: 10.6084/m9.figshare.25053566.v1
title: Do Housing Prices Affect Individual Physical Health? Evidence from China

description: The data is employed for health study
DOI: 10.6084/m9.figshare.26654128.v1
title: Additional file 3 of Patient reported outcomes following whole brain radiotherapy in patients with brain metastases in NSIA-LUTH Cancer Center

description: Additional file 3. Raw and transformed patient reported scores.
DOI: 10.6084/m9.figshare.3531779.v1
title: Appendix A. Summary information on Sebastes specimens used in analyses of community structure.

description: Summary information on Sebastes specimens used in analyses of community structure.
DOI: 10.17632/55phb4xw5k
title: GIS data - Flood Exposure of Environmental Assets - Tuscany, Italy

description: Environmental Assets Shapefiles for Flood Exposure Analysis in Tuscany, Italy

This dataset contains geographic information system (GIS) data in the form of shapefiles representing the environmental assets analyzed in the study on flood exposure in the Tuscany region, Italy. The dataset was compiled as part of the research introducing the EnvXflood method, which assesses the qualitative exposure of environmental assets to river floods.

Contents of the Dataset:
Environmental Asset Layers: shapefiles representing various types of environmental assets, including rivers, lakes, wetlands, forests, and other environmental significant assets identified in the study.
Flood Exposure Classification: attribute data indicating the relative exposure levels of each asset based on the developed methodology (Field: EEVi,2).
Data Source Information: a CSV file listing the original sources of the environmental data, which must be cited when the data are reused, is included.

Data Ownership & Attribution:
The data included in this dataset are not the property of the authors but originate from external sources, as specified in the accompanying CSV file.
If the data are reused, the original sources must always be cited in accordance with their respective attribution requirements.
The dataset has been modified by the authors for the purposes of the study, including processing, classification, and adaptation to the EnvXflood method.
Data Format:
File Type: ESRI Shapefile (.shp, .shx, .dbf, .prj, qmd)
Coordinate System: EPSG:3003
Attribute Information: each shapefile includes relevant attributes such as asset type, exposure classification, and associated values.

Limitations & Disclaimer:
The dataset is provided as is, without any warranty regarding its accuracy, completeness, or suitability for specific applications.
Exposure classification is qualitative and should be interpreted within the framework of the EnvXflood method.
The data are specific to the Tuscany region and may not be directly applicable to other geographic areas without adaptation.

Date of last access to sources: 06/02/2025

Citation:
When using this dataset, please also cite the corresponding research paper: 
Bertoli, G., Arrighi, C., and Caporali, E.: Flood exposure of environmental assets, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2024-105
DOI: 10.17632/j69ksnhrdx
title: Data for: Hydrogen Reduction of Ilmenite: Towards an In Situ Resource Utilization Demonstration on the Surface of the Moon

description: This data set includes the raw and processed pressure data for ilmenite reduction experiments under varying temperature and hydrogen concentrations. The calibration data obtained from the analysis of water injected into the system is also included. Mass spectrum data and pressure data from the release of the trapped reaction products are also included
DOI: 10.6084/m9.figshare.19601359.v1
title: Bipolar Disorder and psychological trauma

description: Trauma symptoms, clinical characteristics, level of functioning and level of cognitive deterioration in a trauma-exposed sample of patients with Bipolar Disorder
DOI: 10.6084/m9.figshare.25399639.v1
title: Elsafty_RBCs_Slide_1

description: Each one of (Elsafty_RBCs_Slide_1-25) contains the field images/patches of a specific slide/patient. The names of the patches start with the respective slide/patient number, followed by the unique patch/field number. There is a total of 47,363 patches with 1076x535 pixels size from the 25 slides/patients, the counts of patches per slide/patient are as follows: 1690, 1709, 2697, 2400, 1905, 1803, 2964, 3049, 2464, 2080, 1894, 1852, 2590, 2263, 3328, 983, 1066, 935, 1131, 1237, 1874, 1393, 1277, 1199, and 1580.
DOI: 10.6084/m9.figshare.3517814.v1
title: Appendix B. A figure showing alkaline/acid phosphatase (APA) activity relative to leucine-aminopeptidase (LAMP) activity and net nitrogen uptake by periphyton from Stony Brook incubated in Stony Brook water and Stony Creek water receiving prior exposure to substrata from an abandoned mine drainage (AMD)-impacted stream in order to lower the P concentration of Stony Brook water.

description: A figure showing alkaline/acid phosphatase (APA) activity relative to leucine-aminopeptidase (LAMP) activity and net nitrogen uptake by periphyton from Stony Brook incubated in Stony Brook water and Stony Creek water receiving prior exposure to substrata from an abandoned mine drainage (AMD)-impacted stream in order to lower the P concentration of Stony Brook water.
DOI: 10.6084/m9.figshare.5125564.v1
title: Supplementary Material for: Combined Serum Creatinine and Cystatin C Schwartz Formula Predicts Kidney Function Better than the Combined CKD-EPI Formula in Children

description: <b><i>Background:</i></b> The combined serum creatinine (SCreat) and cystatin C (CysC) CKD-EPI formula constitutes a new advance for glomerular filtration rate (GFR) estimation in adults. Using inulin clearances (iGFRs), the revised SCreat and the combined Schwartz formulas, this study aims to evaluate the applicability of the combined CKD-EPI formula in children. <b><i>Method:</i></b> 201 iGFRs for 201 children were analyzed and divided by chronic kidney disease (CKD) stages (iGFRs ≥90 ml/min/1.73 m<sup>2</sup>, 90 &gt; iGFRs &gt; 60, and iGFRs ≤59), and by age groups (&lt;10, 10-15, and &gt;15 years). Medians with 95% confidence intervals of bias, precision, and accuracies within 30% of the iGFRs, for all three formulas, were compared using the Wilcoxon signed-rank test. <b><i>Results:</i></b> For the entire cohort and for all CKD and age groups, medians of bias for the CKD-EPI formula were significantly higher (p &lt; 0.001) and precision was significantly lower than the solely SCreat and the combined SCreat and CysC Schwartz formulas. We also found that using the CKD-EPI formula, bias decreased and accuracy increased while the child age group increased, with a better formula performance above 15 years of age. However, the CKD-EPI formula accuracy is 58% compared to 93 and 92% for the SCreat and combined Schwartz formulas in this adolescent group. <b><i>Conclusions:</i></b> The performance of the combined CKD-EPI formula improves in adolescence compared with younger ages. Nevertheless, the CKD-EPI formula performs more poorly than the SCreat and the combined Schwartz formula in pediatric population.
DOI: 10.6084/m9.figshare.5945554.v2
title: Dataset of CIRS

description: The data are part of large-scale survey organized by the China Institute for Rural Studies (CIRS) at Tsinghua University from 2012 to 2016. The survey questionnaire covered seven major topics: basic information of family and family members, family economic conditions, irrigation and farmland water conservancy, rural governance and organization in rural areas, education, rural hygiene and social guarantees, and rural living environment. The survey contains information at both the household and village level. The survey data cove a wide range of topics and could be used for various research purposes. The data here reflects one of the questionnaire parts “irrigation and farmland water conservancy”, but also draws some information from the other parts of the questionnaire.
DOI: 10.17044/scilifelab.23856609.v2
title: Lipids and Neurotransmitters Mass Spectrometry Imaging Data from Dopaminergic PSAP Deficient (cPSAP<sup>DAT</sup>) and Serotonergic PSAP deficient (cPSAP<sup>SERT</sup>) Mice Brain Tissue sections

description: The files above are MALDI-MSI (Matrix Assisted Laser Desorption Ionization - Mass Spectrometry Imaging) experiments. The dataset contains both imzML, which is the common MSI open file type containing x, y positions in tissue as well as m/z and intensity, which is a more user friendly format. The data contained in this dataset should be enough to recreate the MSI parts of the manuscript. Prosaposin (PSAP) modulates glycosphingolipid metabolism and may relate to Parkinson’s disease (PD). Here, the lipids and neurotransmitters MALDI-MSI data have been collected from dopaminergic PSAP-deficient (cPSAP<sup>DAT</sup>) mice and serotonergic PSAP-deficient (cPSAP<sup>SERT</sup>) mice as well as 6-OHDA-induced Parkinson's disease mouse model.<br>For any questions about the dataset or to request access to any files not uploaded here, please contact per.andren@uu.se
DOI: 10.17632/mcryj6cnnh
title: PANNA: Properties from Artificial Neural Network Architectures

description: Prediction of material properties from first principles is often a computationally expensive task. Recently, artificial neural networks and other machine learning approaches have been successfully employed to obtain accurate models at a low computational cost by leveraging existing example data. Here, we present a software package “Properties from Artificial Neural Network Architectures” (PANNA) that provides a comprehensive toolkit for creating neural network models for atomistic systems following the Behler–Parrinello topology. Besides the core routines for neural network training, it includes data parser, descriptor builder for Behler–Parrinello class of symmetry functions and force-field generator suitable for integration within molecular dynamics packages. PANNA offers a variety of activation and cost functions, regularization methods, as well as the possibility of using fully-connected networks with custom size for each atomic species. PANNA benefits from the optimization and hardware-flexibility of the underlying TensorFlow engine which allows it to be used on multiple CPU/GPU/TPU systems, making it possible to develop and optimize neural network models based on large datasets.
DOI: 10.17632/xrpn4t4chc
title: Data on the Amylolytic Activity of Triticale

description: This dataset includes the characterization and measurement of α- and β-amylase activity obtained from triticale malt of the Siglo XXI and Bicentenario varieties. It also comprises data on the enzymatic activity of α- and β-amylase in aqueous extracts derived from the respective malts. Additionally, partial purification data of the enzymes are presented, including their activity after purification using aqueous two-phase systems (ATPS) composed of ethanol and trisodium citrate, as well as partitioning parameters of the ATPS.
DOI: 10.6084/m9.figshare.10012442.v3
title: F1000 1990 Ghazaryan et al Raw Data miRNA.xlsx

description: Raw Data miRNA
DOI: 10.6084/m9.figshare.14883183.v1
title: Cancer cachexia skeletal muscle proteome of mice

description: 3 RAW files containing protein identification datasets for six paired comparisons from four study groups.
DOI: 10.6084/m9.figshare.29053202.v1
title: SRU

description: dfgdfgdsfgfsdfsdfg
DOI: 10.6084/m9.figshare.7665632.v1
title: Nuclear simple sequence repeats primer pairs for Rhizoglyphus robini showing polymorphism across individuals.

description: In Stewart et al., 2019,"The role of genetic diversity in the evolution and maintenance of environmentally-cued, male alternative reproductive tactics", BMC Evolutionary Biology, we tested 16 nuclear simple sequence repeats (nSSRs) primer pairs designed for Rhizoglyphus robini, optimizing the primer pairs and concomitant PCR protocol for our own populations using Dreamtaq polymerase (Thermo Fisher Scientific). After protocol optimization, we found only 9 of the 16 nSSRs amplified well for our populations, of which 3 loci revealed fixation, and 6 demonstrating both clean/readable peaks and polymorphism across individuals. These 6 nSSRs were chosen for the genotyping of all remaining individuals. Here, the datasets generated and analysed in our study are presented.<br>