cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2eunr5
title: Occurrence Download

description: A dataset containing 10347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Cerdocyon thous (Linnaeus, 1766)"
 ]
}

 The dataset includes 10347 records from 311 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016496-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfgvrd
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016452-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4wma5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia macrops Maul, 1957",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((40.3006 -16.7147,40.6365 -16.1504,35.9648 -16.1504,35.9648 -19.5556,36.0796 -19.4498,36.663 -19.2358,37.5966 -18.1093,38.5624 -17.638,39.3949 -17.5133,39.577 -17.186,40.3006 -16.7147))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010219-250525065834625/datasets/export for details.
DOI: 10.17632/54w7pxw8mt
title: data for microanalysis of sulfur isotope of calcite using SIMS

description: The data evaluate the sulfur isotopic homogeneity of potential calcite reference material and the matrix effects in SIMS analysis.
DOI: 10.15468/dl.engway
title: Occurrence Download

description: A dataset containing 260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Microula sikkimensis (C.B.Clarke) Hemsl.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 260 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012856-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wdm4jf5xph
title: Quantifying The Impact of Red Tape on Investment: a Survey Data Approach

description: Replication materials for "Quantifying The Impact of Red Tape on Investment: a Survey Data Approach" (Pellegrino and Zheng, 2023, forthcoming in the Journal of Financial Economics)
DOI: 10.17632/2x546shhwk
title: Chaos Game Representation (CGR images ) of SARS-CoV-2 Variants (Alpha,Beta, Delta, Gamma and Omicron)

description: Currently available genome sequence classification methods are based on text or sequence alignment techniques. Our aim is to build an image-based genome sequence classifier using deep learning technique. In 1990 H J Jeffry proposed a method Chaos Game Representation (CGR), which converts long one-dimensional sequences into two-dimensional images. This dataset contains the CGR images of genomic sequences of SARS-CoV-2 Variants - alpha, beta, delta, gamma, and omicron. The dataset is divided into three folders named train, test, and validate. Each folder contains five subfolders named alpha, beta, delta, gamma, and omicron. The "train" folder has a total of 17500 images - 3500 images in each subfolder. The "test" folder has 5000 images - 1000 from each category. The "validate" folder has 2500 images - 500 images from each individual class. Genomic sequences of the above-mentioned SARS- CoV-2 variants were downloaded from the GISAID database and the sequences were then converted to CGR images using a python script.
DOI: 10.17632/vvv8tcb2nt
title: PULSEE: A software for the quantum simulation of an extensive set of magnetic resonance observables

description: We present an open-source software for simulation of observables in magnetic resonance experiments, including nuclear magnetic/quadrupole resonance NMR/NQR and electron spin resonance (ESR). Inspired by magnetic resonance protocols that emerged in the context of quantum information science (QIS), this software can assist experimental research in the design of new strategies for the investigation of fundamental quantum properties of materials. The package introduced here can simulate both standard NMR spectroscopic observables and the time-evolution of an interacting single-spin system subject to complex pulse sequences, i.e. quantum gates. The main purpose of this software is to facilitate the development of much needed novel NMR-based probes of emergent quantum order, which can be elusive to standard experimental probes. The software is based on a quantum mechanical description of nuclear spin dynamics in NMR/NQR experiments and has been widely tested on available theoretical and experimental results. Moreover, the structure of the software allows for basic experiments to be easily generalized to more sophisticated ones because it includes all the libraries required for the numerical simulation of generic spin systems. In order to make the program easily accessible to a large user base, we developed a user-friendly graphical interface, Jupyter notebooks, and fully-detailed documentation. Lastly, we portray several examples of the execution of the code that illustrate the prosepcts of a novel NMR paradigm, inspired by QIS, for efficient investigation of emergent phases in strongly correlated materials.
DOI: 10.17632/jvv88yhfmm
title: Tithonia rotundifolia as a protein source in New Zealand/Chinchilla weaner rabbit production

description: Proximate analysis of Tithonia rotundifolia was conducted at Fertilizer, Farm Feeds and Remedies Institute laboratory, under the Department of Research and Specialist Services in Harare. The proximate analysis was done on a dry matter basis and the data from the analysis was incorporated in FeedWin for feed formulation. The main aspects considered in proximate analysis being the dry matter content (DM), crude protein content (CP), crude fibre content (CF), ether extract content (EE), nitrogen-free extract content (NFE), calcium content (Ca) and phosphorous content (P), which are important for the diet formulation. The samples were analysed using the procedures of Association of Official Analytical Chemists (A.O.A.C. 2005). For other feed ingredients, the researcher used the standard nutritional composition on FeedWin feed formulation software. FeedWin Interactive v1.01 software was used to formulate the diet. This software ensures the use of nutrient composition in formulating diets. The Tithonia meal was used as an inclusion in the feed, mixed with other ingredients which are maize meal, soybean meal, salt, limestone and mono-calcium-phosphate. These ingredients were used to formulate three diets with 0 %, 10 % and 20 % inclusion levels of the Tithonia meal. The inclusion of Tithonia meal in the diet formulation caused the percentage variation of other ingredients. Thus, becoming a source of variation.Data collected was daily feed intake and weekly weight gain. This data was fed into Microsoft Excel and used to calculate feed conversion efficiency. Before the commencement of the experiment, the weights of the rabbits were taken, using a digital scale for weighing. After this, the rabbits were weighed weekly for weight gain changes. Since the animals were given a predetermined amount of feed, the left-over feed was measured every morning during the feeding trial so as to calculate the feed intake. The feed conversion efficiency was then calculated after the feeding trial. Feed intake was calculated by subtracting the refusals from the feed given. The feed conversion efficiency was then calculated by dividing total feed intake with total weight gain.Statistical Package for Social Sciences (SPSS) also known as Statistical Product and Service Solutions (SPSS) version 20 was used to analyse the data on feed intake, weight gain and feed conversion efficiency. The data was subjected to GLM repeated measures ANOVA for RCBD. Boniferroni’s test was used to separate means. Descriptive statistics were also generated which were presented in form of tables and graphs. Equality of variances was tested using Levene’s test. Wilk’s Lambda’s test was used to assess whether or not there was effect of time or interaction between time and diet.
DOI: 10.17632/zc6gzt8n84
title: User Preference distribution

description: The data visualized in the plot represents a three-dimensional distribution of user preferences based on age and geographic region.

X-axis (Age): The horizontal axis represents age, ranging from 20 to 70 years. Age values are evenly distributed within this range.

Y-axis (Geographic Region): The vertical axis represents geographic regions, with values ranging from 1 to 10. Geographic regions are evenly distributed within this range.

Z-axis (User Satisfaction): The depth axis represents user satisfaction, indicating the level of satisfaction associated with specific combinations of age and geographic region. User satisfaction values are calculated based on a user satisfaction function, which incorporates both age and geographic region as parameters.

Plot: The plot depicts a surface that represents the distribution of user satisfaction across different age groups and geographic regions. The surface is generated using the plot_surface function from the mpl_toolkits.mplot3d module.

Color Map: The color of the surface varies to indicate the magnitude of user satisfaction. A color map (cmap) called 'viridis' is applied to the surface, where different colors correspond to different levels of user satisfaction.

Labels: The plot includes labels for each axis: 'Age' for the x-axis, 'Geographic Region' for the y-axis, and 'User Satisfaction' for the z-axis.

Title: The title of the plot is "User Preference Distribution", providing an overview of what the plot represents.

Overall, this visualization allows for the exploration of how user satisfaction varies across different age groups and geographic regions, providing insights into potential patterns or trends in user preferences.
DOI: 10.17632/yg6zktk9sw
title: LINF_190007300

description: CEP104-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/zg5dvh62gp
title: Response spectrum data for the steel frame structures' files (Sap2000 files)

description: the response spectrum data used in the analysis is externally loaded as a data file, which likely contains comprehensive information on ground motion accelerations, frequencies, and damping ratios. This enables us to conduct a thorough seismic evaluation of the structure. This data is needed for the following structures: *4-story 132-member irregular space steel frame *6-story 240-member regular space steel frame *8-story 616-member irregular space steel frame *10-story 620-member regular space steel frame To use it, please copy spectrum data to text file and upload file to Sap2000.
DOI: 10.17632/66g5twfdkk
title: Data for: Presentation and Outcomes of End Stage Liver Disease Patients Presenting with Septic Shock to the Emergency Department

description: ESLD Raw database
DOI: 10.17632/n3ywbm3y2t
title: Estimating ground-level PM2.5 using micro-satellite images by a convolutional neural network and random forest approach

description: Version 7 updates: Updated Image_Downloader again. Promise this will be the last recent update. Revised the part of image downloading from url and saving to directory. Sometimes, internal server error from Planet side can occur during the image downloading and saving process, which will cause the program to stop. Now this issue has been taken care of in this update. Some further remarks: To obtain the most possible matched images for a given query criteria, I recommend activating all your wanted images first, then wait for ~24 hours. This is the empirical time that roughly all the requested images can finish being activated. I am, however, strongly against downloading images right after activating images using this code. In such a case, you will lose a lot of valid images, as some of them will not get activated right away. Any questions can be directed to tongshu.zheng@duke.edu --- # based on the PlanetLabs' terms of use (https://www.planet.com/terms-of-use/) and Weather Underground’s terms of use (https://www.wunderground.com/company/legal), we are not allowed to publish/distribute the images data from PlanetLabs or meteorology data from Weather Underground used in this study. However, we have provided a python script (“Image_Downloader.ipynb”) that can download the current study’s images from PlanetLabs and we have provided links (“Links_to_Download_Meteorology_Data.docx”) to direct readers to the corresponding Weather Underground webpages where they can download the meteorology data used in our study.# This dataset includes the following items: 1) raw 1 h PM2.5 mass concentration measurements of the 35 regulatory AQM stations and the US Embassy station in Beijing from January 1, 2017 to July 20, 2019; 2) raw 1 h PM2.5 mass concentration measurements of the 10 regulatory AQM stations in Shanghai from January 1, 2017 to July 20, 2019; 3) "Links_to_Download_Meteorology_Data.docx" links to direct readers to the corresponding Weather Underground webpages where they can download the meteorology data used in our study; 4) "Image_Downloader.ipynb" python code to download the Beijing and Shanghai stations' images used in our study from PlanetLabs; 5) "PM_Meteorology_Image_process_filter_match.ipynb" python code to process the raw PM2.5 data and the raw meteorology data; to process and filter the raw images data; to match the processed PM2.5 data and meteorology data with the filtered and processed images data; store the matched records for model training and evaluation purposes; 6) "Model_Training_and_Evaluation_updated.ipynb" python code to build, train, and evaluate the CNN-RF models used in our study; 7) "670m_model.hdf5" the CNN model trained on the Beijing training dataset at a spatial resolution of 670 * 670 m; 8) "500m_model.hdf5" the CNN model trained on the Beijing training dataset at a spatial resolution of 500 * 500 m; 9) "200m_model.hdf5" the CNN model trained on the Beijing training dataset at a spatial resolution of 200 * 200 m.
DOI: 10.17632/skkmgf3yhm
title: Improving Sentiment Prediction of Canadian Maritime Case Law using Heterogeneous and Homogeneous Ensemble Methods: A Comparative Study

description: This study uses machine and Homogeneous Ensemble Methods to retrieve legal data, classify, review, and predict judgments to expedite legal proceedings. Our study contributes significantly to the literature because judiciary systems in many nations face backlogs that cause delays in justice. In this paper, we propose a sentiment analysis framework using deep, distributed, and machine learning to enable access to statutes, laws, and cases so maritime judges in Canada can resolve cases efficiently.

Naïve Bayes, SVM, and KNN model exhibited promising outcomes in terms of the capacity to extract sentiments and records from different devices and provide practical guidance. Therefore, the model can apply to other systems that follow the common-law framework.
DOI: 10.17632/6p34j58y4c
title: Single Youth

description: SPSS & AMOS Files
DOI: 10.17632/s8ctws4hhv
title: i-PI: A Python interface for ab initio path integral molecular dynamics simulations

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract Recent developments in path integral methodology have significantly reduced the computational expense of including quantum mechanical effects in the nuclear motion in ab initio molecular dynamics simulations. However, the implementation of these developments requires a considerable programming effort, which has hindered their adoption. Here we describe i-PI, an interface written in Python that has been designed to minimise the effort required to bring state-of-the-art path integral techniques... Title of program: i-PI Catalogue Id: AERN_v1_0 Nature of problem Bringing the latest developments in the modelling of nuclear quantum effects with path integral molecular dynamics to ab initio electronic structure programs with minimal implementational effort. Versions of this program held in the CPC repository in Mendeley Data AERN_v1_0; i-PI; 10.1016/j.cpc.2013.10.027
DOI: 10.17632/nzykmmgz4h
title: Human-altered Soil Loss dominates nearly half of Water Erosion in China but surges in agriculture-intensive Areas

description: The China terracing map with a high-resolution of 30 meters
DOI: 10.17632/zm4kjbn5zh
title: SUPPLEMENTARY DATA OF THE PAPER: DPb-MOPSO: A Dynamic Pareto bi-level Multi-Objective Particle Swarm Optimization Algorithm

description: This study proposes a Dynamic Pareto bi-level Multi-Objective Particle Swarm Optimization (DPb-MOPSO) algorithm including two parallel optimization levels. At the first level, all solutions are managed in a single search space. When a dynamic change is successfully detected in the objective values, the Pareto ranking operator is used to enable a multiple sub-swarm’ subdivisions and processing which drives the second level of enhanced exploitation. A dynamic handling strategy based on random detectors is used to track the changes of the objective function due to time-varying parameters. A response strategy consisting in re-evaluate all unimproved solutions and replacing them with newly generated ones is also implemented.  The DPb-MOPSO system is tested on a set of DMOPs with different types of time-varying Pareto Optimal Set (POS) and Pareto Optimal Front (POF).  Inverted generational distance (IGD), mean inverted generational distance (MIGD), and hypervolume difference (HVD) metrics are used to assess the DPb-MOPSO performances.
DOI: 10.17632/txr34h8bgs
title: Exploration of the association between social media addiction, self-esteem, self-compassion and loneliness.

description: Excessive social media use is associated with several negative psychological outcomes, including psychological distress and lower levels of-self-esteem. Research reports that feelings of loneliness enhance social media abuse, with individuals reporting stronger engagement to social media. However, self-esteem and self-compassion, which are considered as complementary constructs, mitigate social media use. This research aimed to explore the association between social media and loneliness, and whether this relation can be explained through the relation of self-esteem and self-compassion. A non-clinical sample of 426 Greek adults fulfilled the first adapted version of the Social Media Disorder Scale to assess social media addiction, the UCLA loneliness scale, the Rosenberg’s self-esteem scale and the Self Compassion Scale. Structural equation modeling was used, along with Analysis of Variance to estimate the role of demographics to social media excessive use, such as gender, education, age and the number of followers. Results revealed that self-esteem was not associated to social media excessive use or to any other behavior. Higher levels of self-compassion were associated to lower levels of social media use; moreover, self-compassion acted as a mediator with individuals feeling loneliness exhibiting lower levels of social media addiction. Possible explanations, future directions and the factors that may contribute to the insignificant relationship between self-esteem and social media are discussed. 

Keywords: social media addiction, self-esteem, self-compassion, structural equation model, Social Media Disorder Scale
DOI: 10.6084/m9.figshare.13162076.v1
title: Phase1-UES-ptBR_translation_process_report.xlsx

description: All reports of UES-ptBR translation process
DOI: 10.17632/8bpsx6zny5
title: Fortitude North dataset

description: The research hypothesis discussed in this paper is that an integration of drill hole geochemistry with petrophysics and geological observations can allow for the identification of geological processes and lithological units in a gold mineralizing system located in the Archean Yilgarn Craton of Western Australia.

The data presented in the paper includes whole-rock geochemical data, magnetic susceptibility, velocity, density and lithological logging gathered from drill hole samples. The data was gathered using various analytical techniques and was interpreted using cross plots and principal component analysis.

The data shows that the dominant host rocks in the Yilgarn Craton underwent in situ magmatic fractionation, with trends consistent with this process being observed in the geochemical data. Specifically, Ti, Fe, and P were found to have a positive correlation with Zr, while Mg had a negative correlation, indicating magmatic fractionation. Additionally, high Ti and P zones were interpreted as the upper parts of dolerite sills that fractionated in place during crystallization, which corresponded to zones of high magnetic susceptibility and dominated the magnetic response of the Fortitude North system.

Furthermore, multi-dimensional data analysis using principal component analysis indicated that the direction of the Au eigen vector corresponds with S, As, Sb, Cu, K, and Te, which are interpreted as pathfinder elements that can be used to delimit Au system targets. This suggests that hydrothermal processes related to Au mineralization are present in the Yilgarn Craton.

Notable findings from the data include the identification of magmatic processes, alteration, and lithological insights that can be incorporated into multi-scale data integration workflows to inform exploration programs targeting orogenic gold in Archean greenstone belts similar to the Yilgarn granite-greenstone terranes.

In summary, the data presented in this paper provides insights into the geological processes and lithological units present in a gold mineralizing system in the Yilgarn Craton of Western Australia, which can inform exploration programs targeting orogenic gold in similar geological settings.