cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7825037.v1
title: Nomogram connecting fundamental period of a single soil layer, the depth of the layer and the shear-wave velocity of the layer

description: A nomogram connecting the fundamental period, T, of a soil layer of shear-wave velocity, Vs, and depth, H, using the formula T=4H/Vs. Also given is the fundamental frequency, f, (1/T) and the shear-modulus assuming a density (rho) of 2000kg/m^3, i.e. G=rho Vs^2 (results would be similar for the normal range of density, about 1800 to 2500kg/m^3).<br>Connect up two axes and where the line crosses the third axis is the result. An example line is shown for a fundamental period of 0.5s and a depth of 30m, which gives a shear-wave velocity of 240m/s.<br><br>Created using pynomo using a type 1 nomogram with type 8 nomograms for each of the principal axes
DOI: 10.6084/m9.figshare.13394231.v1
title: Methicillin Resistant Staphylococcus aureus nasal carriage

description: To determine MRSA carriage among medical and paramedical students<br>
DOI: 10.6084/m9.figshare.24970380.v1
title: DFT_data.zip

description: The files associated with the DFT calculations performed in VASP as part of the study "Combining Machine Learning, Component Screening and Molecular Engineering for the Design of High-Performance and Stable Inverted Perovskite Solar Cells"
DOI: 10.17632/92g8n7pjp2
title: Electricity Energy Consumption in the Gran Buenos Aires (metropolitan area) from 2012 to 2018 --- CAMMESA data 

description: The Electricity Energy Consumption in the Gran Buenos Aires (EECGBA) dataset contains nine variables reported hourly from the beginning of January 1st, 2012, until 11 pm on December 31st, 2018 (61,368 rows). The data was collected by the Compañía Administradora del Mercado Mayorista Eléctrico Sociedad Anónima (CAMMESA). The data was generously offered to researchers at Universidad Nacional del Sur (UNS) (Argentina) to be used in research projects involving UNS and Dalhousie University (Canada). 

The dataset describes weather data (temperature, humidity, and so on) and electricity consumption (in MWh) for the Gran Buenos Aires (GBA) (Buenos Aires city metropolitan area) geographical area. Additionally, we also included in the dataset two variables related to the economic activity status of that day. First, we included the Argentinian monthly estimator of economic activity (EMAE in Spanish) produced by the INDEC (National Institute of Statistics and Census of Argentina). Second, we also included a boolean variable that indicates if that day was a holiday in Argentina (which means a large part of the population didn't work that day).

In summary, the dataset includes ten columns. The first column is the date and time of each data entry (format YYYY-MM-DD HH:MM:SS), and the following nine columns describe the following information:
- The first variable, DemGBA, describes the electrical consumption of the GBA measured in megawatt hours (MWh).
- The second variable, Temp, measures the hourly ambient temperature in GBA in degrees Celsius.
- The third variable, Holiday, is a boolean variable that indicates if on that day there was a holiday in Argentina (meaning it was a non-workable day). 
- The fourth variable, EMAE, is the Argentinian monthly estimator of economic activity produced by the INDEC.
- The fifth variable, vy, is the south-north wind component in km/h.
- The sixth variable, vx, is the west-est wind component in km/h.
- The seventh variable, GHI, is the Global Horizontal Irradiance (the total solar radiation incident on a horizontal surface) measured in watts per square meter (W/m2).
- The eighth variable, Hum, describes the ambient relative humidity measured as a percentage.
- The ninth variable, Pres, measures the atmospheric pressure in hectopascals (hPa).

All variables present an hourly frequency (updated every hour) except "Holiday," which changes daily, and the EMAE, which changes monthly. 

How to read the data in python:
import pandas as pd
df = pd.read_csv('cammesa_db_2012_2018.csv',index_col=0)

Acknowledgments:
We greatly thank the Compañía Administradora del Mercado Mayorista Eléctrico Sociedad Anónima (CAMMESA) for providing the data.
DOI: 10.6084/m9.figshare.13511829.v4
title: A Verified Genomic Reference Sample for Assessing Performance of Variant Calling

description: The consensus target region (CTR) for hg19 and hg38.A list of identified variants or positives (&gt; 40,000) and negative 956 positions (&gt; 10,000,000) in the<br>957 coding regions of the genome for Pool Sample A.Droplet digital PCR data from the independent orthogonal validation effort<br>
DOI: 10.6084/m9.figshare.16540311.v1
title: EuropeAgriDB v1.0: Main results

description: EuropeAgriDB v1.0: Main results Crop production and nitrogen flows in European agriculture 1961-2019
DOI: 10.6084/m9.figshare.23545557.v2
title: <em>Sphagnum</em> increases soil’s sequestration capacity of mineral-associated organic carbon via activating metal oxides_Data

description: <em>Sphagnum</em> increases soil’s sequestration capacity of mineral-associated organic carbon via activating metal oxides
DOI: 10.6084/m9.figshare.25309102.v1
title: Development of Post-Award Reflective Practice Tool screenshots (redacted)

description: These screenshots capture the process of the development of the Post-Award Reflective Practice Tool.
DOI: 10.6084/m9.figshare.25447528.v1
title: WDL 101 Dataset

description: This is the entire set of input data needed to run the workflow on : https://hutchdatascience.org/WDL_Workflows_Guide/The list of files here are : Homo_sapiens_assembly19.fastaHomo_sapiens_assembly19.fasta.faiHomo_sapiens_assembly19.dictHomo_sapiens_assembly19.fasta.pacHomo_sapiens_assembly19.fasta.saHomo_sapiens_assembly19.fasta.ambHomo_sapiens_assembly19.fasta.annHomo_sapiens_assembly19.fasta.bwtdbsnp_138.b37.vcf.gz.tbidbsnp_138.b37.vcf.gzMills_and_1000G_gold_standard.indels.b37.sites.vcf.idxMills_and_1000G_gold_standard.indels.b37.sites.vcfaf-only-gnomad.raw.sites.b37.vcf.gzaf-only-gnomad.raw.sites.b37.vcf.gz.tbiTumor_1_KRAS_CALU1_combined_final.fastqTumor_2_EGFR_HCC4006_combined.fastqNormal_1_MOLM13_combined_final.fastqNormal_2_MOLM13_combined_final.fastq
DOI: 10.17632/9s5pt9dddn
title: Dataset on green macroprudential regulations and instruments: objectives, implementation and geographical diffusion

description: This dataset is related to the research article DÓrazio, P. and Popoyan, L. 2019, “Fostering green investments and tackling climate-related financial risks: which role for macroprudential policies?“. This dataset contains the data gathered when surveying the existing “green” macroprudential regulations and instruments. Official central banks’ documents and acts, as well as financial institutions reports, have been considered. In particular, for the selected OECD and non-OECD countries surveyed, the dataset contains information on the type of green regulation, the institution responsible for its implementation or promotion, the official reference and the related link to the document, the type of governance and mandate, as of February 2019. The dataset is made publicly available considering the actively evolving debate of their adoption, direction, and institutional setup.
DOI: 10.17632/jcjvdgp5xg
title: Scherer Multidemand Multidimensional KP Instances

description: Test instance data for the 0-1 multidemand multidimensional knapsack problem (MDMKP) from the Primal Problem Instance Generator (PPIG) from Scherer et al. 2023. The instances allow for a greater range of correlation values between the profit coefficients and the coefficients for the knapsack and demand constraints. The test instances also flex the constraint tightness across each dimension. Providing a different structure than existing instances. The first 45 instances do not obey a predetermined correlation structure, while the remaining 135 instances are defined through an explicit predetermined correlation structure (Uniform(-1,1)) for each dimension of each coefficient used in the MDMKP. 

The .txt file attached obeys the following structure, by line.

Problem number and best found objective value
number of variables, number of knapsack constraints, number of covering constraints
objective function coefficients
right hand side values knapsack constraints
right hand side values covering constraints
m rows of left hand side knapsack coefficients
n rows of left hand side covering coefficients

For any inquires contact the author at matthewescherer97@gmail.com
DOI: 10.17632/sfy77bsp25
title: Supraspinatus Tensile Data and Processing Files

description: Filename: TestData.xlsx The data is test stress-strain data for cadaveric human supraspinatus tendon obtained in a uni-axial tensile test on MTS EM Tension testing equipment at University of South Africa's Biomechanics Research Laboratory. The equipment was operated in displacement mode on all the three tests at 0.1 s-1 of strain rate. The samples were not preconditioned. All columns are appropriately labelled to enable researchers to understand what each column represents. The test equipment did not have an environmental chamber at the time of the test so the samples were inevitably exposed to varying conditions before and during the test procedure. Filename: Hyperelastic_vs_Viscoelastic_Nonlin_Modelling.m This is a main processing MATLAB program file. It calculates the stress using nonlinear least squares curve fitting routine. Filename: funTestData_ShoulderTendon.m The function is called by the above file to fetch test data from the Excel file 'TestData.xlsx' and extracts only the section within the elastic region. There are three tests in the file and each test data is different in terms of the upper limit of the elastic region. The function calls each test data as specified in its argument. Filename: funyehmod.m This MATLAB function implements the Yeoh material model. Filename: funstdnonlinsolid.m This MATLAB function implements the standard nonlinear solid model using the sigmoidal kernel function.
DOI: 10.6084/m9.figshare.12624773.v1
title: Datasheet-1 Figshare.xlsx

description: Raw data of metabolites detected through GC-MS analysis from control and NFT Alphonso fruit sets.<br>
DOI: 10.6084/m9.figshare.16822915.v2
title: Hepatocellular Carcinoma TCGA-LIHC Mutation and Clinical Data Combined (TCGA_LIHC.csv)

description: <b><i>Background:</i></b> While the acquired risk factors of liver cancer in Asia are relatively well understood, the underlying genetic background of liver cancer in Asians has not been well established or correlated with clinical outcomes. <b><i>Objective:</i></b> To identify gene mutations linked with worse outcomes in Asian patients with hepatocellular carcinoma (HCC). <b><i>Methods:</i></b> A total of 347 Asian and Non-Asian patients with HCC were analyzed in this study. TCGA patient mutation and clinical data were downloaded through TCGAbiolinksGUI and analyzed using the Python NumPy, Matplotlib, seaborn, and SciPy libraries. Statistical significance was determined by Welch’s t-test (unequal variances t-test), with P-values &lt; 0.05 considered to be statistically significant. <b><i>Results:</i></b> Mutations in five genes (<i>TP53, TTN, OBSCN, MUC5B, CSMD1</i>) were statistically linked with increased mortality in Asians compared to non-Asians, four of which (<i>TTN, OBSCN, MUC5B, CSMD1</i>) were also more prevalent in the Asian population. Within the Asian cohort, two gene mutations (<i>TTN, HMCN1</i>) were statistically linked with worse outcomes. The <i>TP53</i> mutation predicts worse outcomes within the non-Asian cohort, but not within the Asian cohort. <b><i>Conclusions:</i></b> This study identified multiple genetic biomarkers that can aid in the recognition, surveillance, prognosis, and gene therapy of HCC.
DOI: 10.6084/m9.figshare.21890598.v1
title: BAM alignments and BAI indexes

description: BAM output of the bioinformatic analyses for the project
DOI: 10.6084/m9.figshare.22492606.v3
title: Prediction of Protein Aggregation Propensity via Data-driven Approaches_Database

description: Protein aggregation is the phenomenon which occurs when misfolded or unfolded protein physically binds together and can cause the development of various amyloidosis diseases. The goal of this study was to construct surrogate models for predicting protein aggregation using data-driven methods with two types of databases. This study suggests which approaches is more effective to predict protein aggregation depending on types of descriptors and database. <br> <br>
DOI: 10.6084/m9.figshare.25434556.v1
title: deep_CBL_lidar_datas

description: Using a coherent Doppler wind lidar (CDWL), a representative vigorous development process of the deep convective boundary layer (CBL) was observed at the southern edge of the Taklimakan Desert (TD) on 6 June, 2022
DOI: 10.17632/7zs6v8fg9g
title: Matlab script for generating data for: Improved Robust Weighted Averaging for Event-related Potentials in EEG

description: Matlab script for generating testing event-related potentials using the SEREEGA toolbox
DOI: 10.17632/938y26g7gt
title: Data for: Does Individualism Promote Gender Equality?

description: Date and code are provided to replicate tables published in the article.
DOI: 10.6084/m9.figshare.21206663.v1
title: An updated dataset of published carbon and nitrogen trophic enrichment factors (Δ13C and Δ15N) for aquatic crustacean taxa

description: Stable isotopes of nitrogen and carbon (δ<sup>15</sup>N and δ<sup>13</sup>C) represent an important tool in food web ecology, useful for the determination of consumers’ diet and trophic position. One of the key requirements for an appropriate and reliable use of this methodology is represented by the application of species-specific trophic enrichment factors (TEFs, also defined as diet-tissue discrimination factors, DTDFs). Here we present an updated synthesis of carbon and nitrogen TEFs for aquatic crustaceans collated from literature sources. Specifically, on September 20th, 2022 the online databases ISI Web of Science and Scopus were searched for publications by a multiple search criterion using the terms “trophic enrichment factor” or “discrimination factor” in conjunction with “stable isotopes” and “crustacean”. The results were complemented with those obtained from queries on Google Scholar (https://scholar.google.com/) using identical keywords and subsequently saved using the freeware Harzings’s Publish or Perish ver. 7.27.284953. The literature search resulted in a total of 564 entries; subsequently, their titles and abstracts were screened in order to remove field investigations and laboratory studies not performed on aquatic crustacean species or estimating TEFs values on blood. The full text of the remaining 87 sources was examined in detail to select those where TEFs or DTDFs were reported explicitly at least for nitrogen, together with information on the taxonomy of the consumer and dietary resource, the consumer life stage, the analysed tissues, lipid extraction treatment, duration and temperature at which the experiment was performed. 23 eligible literature sources matching the aforementioned criteria were eventually selected, published between 1978 and 2019. The dataset is contained in Table 1; it includes, together with TEFs values, the literature source, the consumer and prey species scientific or common names, information on the environment (M = marine, F = Freshwater), information on the species life stage, the analysed tissue, the treatment used for lipids extraction (N = no treatment; Y = chemical extraction or mathematical normalization), the duration (in days) and temperature at which the experiment was performed (in °C), and the type and the isotopic values of the diet (δ<sup>13</sup>C and δ<sup>15</sup>N). complementary information regarding the the literature sources used to extract the data including permanent identifiers (bibliographic Citation DOI) if available are reported in Table 2.
DOI: 10.6084/m9.figshare.21637199.v1
title: DepMap 22Q4 Public

description: This DepMap release contains data from CRISPR knockout screens from project Achilles, as well as genomic characterization data from the CCLE project. <br> For more information, please see README.txt.
DOI: 10.6084/m9.figshare.28685306.v1
title: Supplementary Material for: Congenital Malalignment of the Great Toenails with Secondary Retronychia: A Tale of Twin Toenails

description: Introduction: Congenital malalignment of the great toenail (CMGT) is characterized by deviation of the nail plate due to rotation of the nail matrix. CMGT may be complicated by secondary retronychia. Case presentation: We report a case of twin 14-year-old females who presented with CMGT with secondary retronychia with no clear inciting event. Physical examination demonstrated lateral deviation of the great toenails with yellowed, thickened, and layered nail plates, consistent with a diagnosis of CMGT with secondary retronychia. The patients were advised to make relevant lifestyle changes and treated with clobetasol proprionate 0.05% ointment to use on all toenails daily for three months, with one week off per month, under occlusion. Conclusion: We hypothesize that both genetic and environmental factors likely contributed to the development of CMGT with secondary retronychia in these twins. Increased awareness and recognition of this underdiagnosed condition, particularly in the pediatric population, is important for timely and effective management.
DOI: 10.17632/gcf4mhtb4s
title: Single-Participant First-Person Herding Trajectories

description: This dataset accompanies the research article titled "Modelling human navigation and decision dynamics in a first-person herding task." It contains timeseries data for the single-participant single- and multi-target first-person herding task. This data can be easily used alongside the accompanying code present in the article's GitHub repository (https://github.com/Complexity-in-Action/Simplified-Herding)
DOI: 10.6084/m9.figshare.11953701.v1
title: The conservation analysis of antigenic proteins C6, TF, F13B, ALB and F2 signifies high similarity with the HLA-A*01:01 of MHC class-I molecule. The conserved analysis was performed using Immune Epitope Database (IEDB) to observe the broad coverage of these epitopes.

description: antigenic proteins C6, TF, F13B, ALB and F2
DOI: 10.6084/m9.figshare.16810174.v1
title: 社交类数据集.xlsx

description: This dataset uses journal articles published by <i>Scientometrics</i> in 2016-2020 as the data source. Through the analysis of the data set usage records of scientometrics research, the frequency ranking of the usage of datasets on social network is listed, so as to provide a reference for the selection of data sets for scientometrics research
DOI: 10.6084/m9.figshare.19640868.v2
title: IgA ACPA in GCF

description: Fasq files of 54 human subgingival microbial samples
DOI: 10.6084/m9.figshare.20196941.v1
title: Raw dataset

description: Raw dataset 1.Datasets data link (GSE6919/ GSE46602/GSE70768)： https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi <br> 2. Datasets data link (TCGA-PRAD)： https://portal.gdc.cancer.gov/exploration?filters={"content":[{"content":{"field":"cases.primary_site","value":["pancreas"]},"op":"in"},{"content":{"field":"cases.diagnoses.tissue_or_organ_of_origin","value":["body of pancreas","head of pancreas","islets of langerhans","other specified parts of pancreas","overlapping lesion of pancreas","pancreas, nos","pancreatic duct","tail of pancreas"]},"op":"in"}],"op":"and"} <br> <br> <br> <br> <br> <br> <br> <br> <br> <br>
DOI: 10.6084/m9.figshare.20363436.v1
title: Test data for combined heat and power dispatch.xls

description: combined heat and power
DOI: 10.6084/m9.figshare.22626490.v1
title: Software Bill of Materials Adoption: A Mining Study from GitHub - A Replication Package

description: This is the replication package of the paper entitled "Software Bill of Materials Adoption: A Mining Study from GitHub".<br><br><br>It contains the raw and analyzed data.
DOI: 10.6084/m9.figshare.25739103.v3
title: <b>Strengthening of negative density dependence mediates population decline at high temperatures</b>

description: Temperature affects key life history traits of ectothermic individuals from metabolic rates to foraging behavior. However, any attempt to scale up temperature effects on individual-level processes to population-level consequences must assume a relationship between temperature and density dependence. Yet, we still know surprisingly little about how this relationship looks in nature, especially in heterotrophs. Here we experimentally isolated and quantified the thermal response of density-dependence, intrinsic rate of increase, and carrying capacity from population dynamics of the herbivore <i>Daphnia pulex</i> started with different densities and raised at four different temperatures, spanning most of the biologically relevant temperature range. We found that the strength of negative density dependence increased linearly with temperature, doubling every 7°C. Importantly, this increase continued beyond the thermal optima of the intrinsic growth rate. This differential response results in a unimodal relationship with peak carrying capacity at moderate to high temperatures. The results reveal that the population density decline at high temperatures is largely driven by the strengthening of negative density dependence relative to growth rates. Overall, the results provide a sorely needed test of theory and highlight the importance of accounting for thermal responses of indirect effects such as density-dependence that only emerge at that population level when forecasting the effects of global warming.
DOI: 10.6084/m9.figshare.29083395.v1
title: The oldest occurrence of <i>Lepisosteus</i> (Ginglymodi: Lepisosteiformes: Lepisosteidae) in Gondwana

description: Lepisosteiformes fishes diversified during the Aptian-Cenomanian into two lineages: Obaichthyidae, restricted to South America, Africa and Europe; and Lepisosteidae in North America. However, the recent description of enigmatic lepisosteid specimens from the Albian–Cenomanian Açu Formation (Potiguar Basin, Northeast Brazil) challenged the understanding of the paleobiogeographic trajectories of the clade during the early Late Cretaceous. The Açu 4 Subunit records an estuarine paleoenvironment characterised by a rich vertebrate diversity in central Gondwana, with fish remains predominantly represented by scales and fragmentary bone elements. Here, we describe three ganoid scales aiming to refine the taxonomy of the local paleoicthyofauna and to explore their paleobiogeographic significance. Scanning Electron Microscopy revealed the scale micro-ornamentations, allowing the measurement of their tubercle diameter (4.49 μm) and spacing (3.74 μm). Based on this morphometric data, the specimens MCC 3268.1-V, MCC 3268.2-V and MCC 3268.3-V are tentatively assigned to the genus <i>Lepisosteus</i>. This represents the oldest record of <i>Lepisosteus</i> in the Southern Hemisphere. Our findings challenge previous studies that proposed the emergence of crown-group lepisosteids around 100 Ma (early Cenomanian) in North America. Furthermore, the data support a scenario of rapid dispersal for the clade and a Cenomanian age for the Açu 4 Subunit.
DOI: 10.17632/33rfxdpjtj
title: Seismic data recorded on the Xishancun Landslide on January 27, 2017

description: This zip file contains three-component waveforms recorded by 53 stations on January 27, 2017 on the Xishancun Landslide. After unzipped are 159 files, naming as StationName.Year.Jday.Chanel. The data is collected by staff from State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China, financially supported by MOST through the 973 program.
DOI: 10.17632/kbm9nww4xn
title: Nascent pre-rRNA sorting via phase separation drives the assembly of dense fibrillar components in the human nucleolus

description: Detailed description of this data can be accessed in Yao et al. Nascent pre-rRNA sorting via phase separation drives the assembly of dense fibrillar components in the human nucleolus