cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.nrxhuq
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 ((35.9648 1.8496,26.9648 1.8496,26.9648 -7.1504,35.9648 -7.1504,35.9648 1.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010235-250525065834625/datasets/export for details.
DOI: 10.25919/expp-f791
title: Parkes pulsar observations with undefined project IDs for 2025APRS_06

description: Parkes pulsar observations with undefined project IDs for 2025APRS. This collection contains observations from project ID PX137.
DOI: 10.15468/dl.ckgge4
title: Occurrence Download

description: A dataset containing 228867 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'CN'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2001 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 228867 records were derived from 2583 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049702-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fbjr5stbf2
title: Does Exchange Rate Volatility Affect the Impact of Appreciation and Depreciation on the Trade Balance? A Nonlinear Bivariate Approach (dataset)

description: Our study "Does Exchange Rate Volatility Affect the Impact of Appreciation and Depreciation on the Trade Balance? A Nonlinear Bivariate Approach" applies the nonlinear bivariate model of Rahman (2022) (GARCH-M [1,1] SVAR). The model allows asymmetric effects of exchange rates and volatility to be examined concurrently on the trade balance. We find that exchange rate volatility reduces the positive effects of an appreciation shock on the trade balance in developed countries in the short and long run. In developing nations, exchange rate volatility promotes the positive effects of a depreciation shock on the trade balance, both in the short and long run. Herein we provide the replication files and steps to reproduce the results. The data was obtained from the Federal Reserve Economic Data (FRED), IMF International Financial Statistics (IFS), Direction of Trade Statistics (DOTS), and Global Economic Monitor (GEM).
DOI: 10.17632/g9cmtjpbx4
title: Buy Labradorite jewellery

description: Rananjay Exports is the most trusted wholesale jewelry manufacturer and supplier known for its wide range of sterling silver labradorite jewelry. With authenticity and honesty, we are the most preferred name in the industry of silver jewelry. Online jewelry purchasing is now more comfortable and secure with our hassle-free process. Choose from a wide range of labradorite jewelry with the most beautiful and comfortable designs. Each jewelry piece that is created in the facility of Rananjay Exports has quality and authenticity intact. We strive to make the retail jewelry businesses grow in the best way possible with our jewelry and services.
DOI: 10.17632/xzwv9wzgz2
title: Metacognitive Scales: Assessing Metacognitive Knowledge in Older Adults Using Everyday Life Scenarios

description: Data from171 community-dwelling adults. The scales were developed to measure older adults' metacognitive knowledge using everday life scenarios.
DOI: 10.6084/m9.figshare.26308600.v2
title: The data for the time series of the pollen

description: The data for the time series of the pollen
DOI: 10.17632/56pg2xss5s
title: Customer Perception and Preference towards in-house Logistics and Outsource Logistics model in Maharashtra (India)

description: In this current dynamic market environment and turbulent time of COVID-19 the role and performance of logistic services has increased manifold. The logistics service provider has contributed to innovations and delivery in their customer’s supply chain in recent time and hence they are important and relevant to the marketer’s revenue and profit creation. This article emphasizes on customer perceptions and preference towards in-house logistic and out sourcing logistics decisions. The questions faced by the manufacturer and marketers are: Why to outsource? How to outsource? What to outsource? Where to outsource? When to outsource? etc. The study and analysis of the various literature and research published earlier reveals that outsourcing in the White goods industry and FMCG is very competitive, service oriented and inclined towards third party logistic model (3PL). This study is based on the qualitative and quantitative research of in-house and outsource logistics model in the state of Maharashtra (India). For this research paper, primary data is collected via Google Doc and Likert scale is used for the analysis. Keywords: Customer Perception, preference, In-house logistics, Outsourcing, 3PL, etc.
DOI: 10.17632/nnpgsfnvtn
title: CRModel: A general collisional radiative modeling code

description: Abstract This paper describes CRModel, a general collisional radiative modeling code written in C++. It uses a flexible plain text input file to describe all relevant aspects of the considered plasma region, including collisional cross sections and radiative decay probabilities. This allows the model to be used for a wide range of atomic or ionic plasma species. The types of results that the model generates, also specified in the input file, include atomic state densities and ionization and recombinat... Title of program: CRMODEL Catalogue Id: ADNK_v1_0 Nature of problem The program calculates atomic level population densities of atoms in low temperature plasmas. Collisional-radiative recombination and ionization rate coefficients, radiative energy losses, individual rate coefficients, and effective production and destruction flows between independent levels are also calculated. Versions of this program held in the CPC repository in Mendeley Data ADNK_v1_0; CRMODEL; 10.1016/S0010-4655(00)00231-9 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/5nw8y7v3jt
title: Intento de suicidio y consumado desde los determinantes sociales de la salud: revisión sistemática

description: Introducción: la conducta suicida es un importante problema de salud, estudiada con frecuencia desde el enfoque de riesgo. Se requiere evidencia que trascienda esta visión hegemónica. Objetivo: identificar los determinantes sociales de la salud estructurales e intermedios asociados al intento de suicidio y suicidio consumado en adolescentes y jóvenes de Latinoamérica de acuerdo a la literatura publicada. Materiales y Métodos: revisión sistemática (PRISMA), realizada en LILACS, Google académico y Pubmed mediante el uso de palabras clave. Se incluyeron estudios primarios ecológicos realizados en Latinoamérica, a los que se les evaluó el sesgo de confusión, calidad del dato y falacia ecológica. Resultados: inicialmente se localizaron 23 770 documentos, se incluyeron finalmente 10. Los determinantes estructurales que se asociaron con el suicidio fue ser hombre, edad entre 15-24, índice Gini, bajo Producto Interno Bruto per cápita, ser católico o evangélico. Mientras que para el intento de suicidio fueron el rezago educativo, ser mujer y vivir en cabecera municipal. Los determinantes intermedios para el intento de suicidio fueron consumo de tabaco y alcohol, episodios violentos y depresión. Discusión: El modelo teórico propuesto, ofrece una visión novedosa del problema, se aleja de la responsabilidad individual y confiere participación activa a las condiciones relacionadas con los modos de vida que generan inequidades en salud. Conclusión: los determinantes sociales ofrecen una visión novedosa con miras hacia nuevas acciones de prevención, sin embargo, la evidencia empírica es contradictoria y la mitad de los estudios incurrieron en el sesgo de confusión, por ello las asociaciones deben ser tomadas con precaución.
DOI: 10.17632/bf68zx825r
title: Data for: Two Species, One Snare: Analysing the impacts of Tiger poaching on a non-target species, the Malayan Tapir.

description: These data contain the processed data (i.e. data for which location co-ordinates have been removed). They represent the average (by month) data on the frequency of occurrence for Tiger, Tapir and snare within Kerinci Seblat National Park, Sumatra Indonesia
DOI: 10.17632/j5dscp2kj7
title: Data for: Supply Chain Coordination with Reverse Logistics: A Vendor/Recycler-Buyer Synchronized Cycles Model

description: Data for Examples 1-3 in "Supply Chain Coordination with Reverse Logistics: A Vendor/Recycler-Buyer Synchronized Cycles Model" by Chan et al.
DOI: 10.17632/zmdvzy2pyg
title: Predictive models for thermal inactivation of human norovirus and surrogates in strwaberry puree

description: This is a .knar archive containing files describiing the model generation process, the generated models as well as original data from publication Bartsch et al. (2018) "Predictive models for thermal inactivation of human norovirus and surrogates in strwaberry puree", published in Food Control. The archives and the files can be used with the free, open source software KNIME Analytics Platform version 3.6.0 (KNIME AG, Zurich, Switzerland, www.knime.com) with the PMM-Lab KNIME extension version 1.0.9 (German Federal Institute for Risk Assessment, Berlin, Germany, https://foodrisklabs.bfr.bund.de/pmm-lab/).
DOI: 10.6084/m9.figshare.21759434.v2
title: Genomic Landscape of Short Tandem Repeats Across Multiple Ancestries: All STR Positions

description: Contains data used in our manuscript Genomic Landscape of Short Tandem Repeats Across Multiple Ancestries. <br> All STR positions from our sample population. All positions contain the total average, total standard deviation, ethnicity specific average, and ethinicity specific standard deviation.
DOI: 10.17632/7cp6pw435f
title: Data for: Social Norms and Earnings Quality: A Global Analysis of the Banking Industry

description: Supplementary Materials on Methodology, processed models and Robustness Checks
DOI: 10.17632/8xwbh5jxkf
title: Financial indicators of Russian banks for 2016-2021

description: The dataset contains logarithmic and non-logarithmic balance and performance indicators for 529 active and closed Russian banks from 2016 to 2021, as well as a dummy variable "Hedge_indicator", which shows the presence of swap-hedging of interest rate risk in a bank.
DOI: 10.17632/pf3r8fbc5x
title: Impact of Perceived Organizational and Supervisor Support on Turnover Intention among the Bangladeshi Nurses: Does Work-family Conflict Matter?

description: Impact of Perceived Organizational and Supervisor Support on Turnover Intention among the Bangladeshi Nurses: Does Work-family Conflict Matter?
DOI: 10.6084/m9.figshare.26132038.v1
title: Topological Graph Simplification for Urban Street Network Models

description: Topological Graph Simplification for Urban Street Network Models
DOI: 10.6084/m9.figshare.9724691.v2
title: data for 'coevolution of snake venom toxic activities and diet'

description: Dataset and phylogeny used for analysis in the paper entitled "Coevolution of snake venom toxic activities and diet: ecological generalism favours toxicological diversity" by Davies and Arbuckle
DOI: 10.17632/g36dhg826s
title: Proximate_Analysis

description: This database studies the performance inconsistency on the biomass HHV proximate analysis. The research null hypothesis is the consistency in the rank of a biomass HHV model. Fifteen biomass models are trained and tested in four datasets. In each dataset, the rank invariability of these 15 models indicates the performance consistency. 

The database includes the datasets and source codes to analyze the performance consistency of the biomass HHV. These datasets are stored in tabular on an excel workbook. The source codes are the biomass HHV machine learning model through the MATLAB Objected Orient Program (OOP). These models consist of eight regressions, four supervised learnings, and three neural networks.

An excel workbook, "BiomassDataSetProximate.xlsx," collects the research datasets in six worksheets. The first worksheet, "Proximate," contains 803 HHV data from 17 pieces of literature. The names of the worksheet column indicate the elements of the proximate analysis on a % dry basis. The HHV column refers to the higher heating value in MJ/kg. The following worksheet, "Full Residuals," backups the model testing's residuals based on the 20-fold cross-validations. The article verifies the performance consistency through these residuals. The other worksheets present the literature datasets implemented to train and test the model performance in many pieces of literature.

A file named "SourceCodeProximate.rar" collects the MATLAB machine learning models implemented in the article. The list of the folders in this file is the class structure of the machine learning models. These classes extend the features of the original MATLAB's Statistics and Machine Learning Toolbox to support, e.g., the k-fold cross-validation. The MATLAB script, "runStudyProximate.m," is the article's main program (Kijkarncharoensin & Innet, 2021) to analyze the performance consistency of the biomass HHV model through the proximate analysis. The script instantly loads the datasets from the excel workbook and automatically fits the biomass model through the OOP classes.

The first section of the MATLAB script generates the most accurate model by optimizing the model's higher parameters. It takes a few hours for the first run to train the machine learning model via the trial and error process. The trained models can be saved in MATLAB .mat file and loaded back to the MATLAB workspace. The remaining script, separated by the script section break, performs the residual analysis to inspect the performance consistency. Furthermore, the figure of the biomass data in the 3D scatter plot, and the box plots of the prediction residuals are exhibited. Finally, the interpretations of these results are examined in the author's article.

Reference :
Kijkarncharoensin, A., & Innet, S. (2021). Performance inconsistency of the Biomass Higher Heating Value (HHV) Models derived from Proximate Analysis [Manuscript in preparation]. University of the Thai Chamber of Commerce.
DOI: 10.17632/z58f7yvzxs
title: Data for: A Hybrid Prediction Model of Landslide Displacement with Risk-Averse Adaptation

description: We provide the metadata of the experiment. There are 6 groups in total, including 1) Monitored curves of ZG118 station: reservoir water level; 2) Monitored curves of ZG118 station: rainfall; 3) Decomposition results of cumulative displacement; 4) Iterative process of solving hybrid model parameters; 5) Predicted results of periodic displacement using hybrid model; 6) Predicted results of cumulative displacement using SVR, LSTM and hybrid model.
DOI: 10.6084/m9.figshare.21971696.v2
title: SI02_MATEO Ref Recctions.xlsx

description: In this Figsahre repository we release the dataset used to train/validate the MATEO: InterMolecular Amidoalkylation Theoretical Enantioselectivity Optimization Web Server. SI File: <strong>SI02_MATEO Ref Recctions.xlsx</strong> Content: Data of reactions of reference uploaded to the internal database of the web server. <br> Summary: The enantioselective Brønsted acid-catalyzed α-amidoalkylation reaction is a useful procedure is for the production of new drugs and natural products (products) or chiral catalysts (tools). The enantioselectivity is sensitive to many factors, from the nature of the nucleophile and the catalyst to the experimental conditions (solvent, temperature, etc.). Although computational chemistry has been used to rationalize experimental results, it is still difficult to understand the influence of different parameters (solvent, temperature, etc.) on the quantitative reaction outcome (as yield or regio- and stereoselectivities).Both experimental and computational (Quantum Chemistry) study of a large number of reactions may become costly in terms of resources and time. Thus, the development of fast-track public computational tools to predict the enantioselectivity [enantiomeric excess <em>ee</em>(%)obs] would be very useful. Furthermore, making the new tool available online could save time and experimental resources in many labs worldwide. We used an Heuristic Perturbation-Theory and Machine Learning (HPTML) algorithm to seek a predictive model with R2 = 0.91 in training and validation series has been developed. It involves a Monte Carlo sampling of&gt;100,000 pairs of query and reference reactions. In addition, the computational and experimental investigation of a new set of intermolecular α-amidoalkylation reactions using BINOL-derived <em>N</em>-trifylphosphoramides as chiral catalysts is reported as a case of study. After validation of the model, it was implementedin a web server called MATEO: InterMolecular Amidoalkylation Theoretical Enantioselectivity Optimization. This tool is available online at:https://cptmltool.rnasa-imedir.com/CPTMLTools-Web/mateo.This new user-friendly online computational tool may become useful to explore a large number of combinations of reactants, catalysts, and experimental conditions. This public tool would enable sustainable optimization of reaction conditions that could lead to the design of new catalysts, substrates, nucleophiles, and/or products.
DOI: 10.1184/r1/29104236.v1
title: Labeled_AAV8_Capsid_Data

description: <b>Data & File Overview</b><b>Directory of Files</b>:<b><i>All_Patches_resized.zip</i></b><b>Size</b>: (9.44GB)<b>Description</b>:<br>This is a compressed folder that contains preprocessed patches. Each patch is an image of one of the following classes:full capsidpartially full capsidempty capsidaggregationicebroken capsidbackground<b>names_labels_df.csv.zip</b><b>Size</b>: (293KB)<b>Description</b>:<br>This is a compressed .csv file that contains 94,830 patch instances each with a patch name and the associated class label.<b>Additional Notes:</b>This data was used in conjunction with the code at https://github.com/lcgutier/capsid-eyes to create the Capsidize app at https://github.com/lcgutier/Capsidize.<b>File Naming Convention</b>:<b>Annotated and Preprocessed Images</b>:The classes are defined as follows: 1=Full capsid, 2=Partially full capsid, 3=empty capsid, 4=aggregation, 5=ice, 6=broken capsid, 7=background Training and testing sets were randomly sampled from the resulting patches and each class was balanced.Images are named according to the dataset they belong to, followed by the original image ID number and lastly with the annotation ID number.<b>Data Description</b><b>names_labels_df.csv.zip</b><b>Columns</b>: patch_name, label<b>Rows</b>: 94,830 patch instances<b>Class Types</b><b>Full Capsids</b>, <b>label</b>=1, <b>Description</b>: A capsid with a dark ring and even dark infill density.<b>Partial Capsids</b>, <b>label</b>=2, <b>Description</b>: A capsid with a dark ring and a mid-range infill density.<b>Empty Capsids</b>, <b>label</b>=3, <b>Description</b>: A capsid with a dark ring and a light infill density.<b>Aggregation</b>, <b>label</b>=4, <b>Description</b>: A cluster of capsids.<b>Ice</b>, <b>label</b>=5, <b>Description</b>: Dark globular crystals that range in size.<b>Broken Capsids</b>, <b>label</b>=6, <b>Description</b>: Full, partial, or empty capsids that have broken. These are often only fragments.<b>Background</b>, <b>label</b>=7, <b>Description</b>: This class contains all background masks including those as a result of background differences seen at the carbon grid hole/grid material boundary.<b>Methodological Information</b><b>Software-specific information</b>:<b>Name</b>: Capsidize<b>Version</b>: 1.0.0<b>System Requirements</b>: Macos or Python 3.9<b>Open Source</b>: Yes<b>Developer</b>: Lilianna GutierrezProduct RepositorySource RepositoryAdditional Notes: The source code held in the capsid-eyes github repository can be run without macos, but the app was compiled on darwin-arm64.<b>Equipment-specific information</b>:<br><b>Sample Preparation</b><b>Manufacturer</b>: (Thermo Fisher Scientific [TFS], Waltham, MA, USA)<b>Model</b>: Vitrobot Mk 4<b>Use</b>: cooled in a bath of liquid nitrogen to freeze samples for imaging<b>Imaging</b><b>Manufacturer</b>: Thermo Fisher Scientific<b>Model</b>: Krios 3Gi microscope<b>Use</b>: To collect TEM images. Operating at 300 kVolts and equipped with a Selectris energy filter and Falcon 4i direct electron detecting camera operating in electron counting mode.
DOI: 10.17632/k64bpkyr7t
title: EASY-EOV tool project 

description: EASY-EOV tool project and tutorial available for download (LabVIEW software installation required).
DOI: 10.17632/ktg27krty7
title: Dataset for Development of a Multiassay Algorithm (MAA) to Identify Recent HIV Infection in Newly Diagnosed Individuals in Indonesia

description: Data included in the manuscript titled Development of a Multiassay Algorithm (MAA) to Identify Recent HIV Infection in Newly Diagnosed Individuals in Indonesia
DOI: 10.17632/m5z5b5zdcw
title: Techno-economic analysis of indirect carbonation CO2 capture and utilization in a cement industry: Aspen Plus simulations results and System Dynamics model results

description: The excel book presents the results regarding the technical and economic evaluation of the indirect carbonation CO2 capture technology. The spreadsheets named "Aspen Results" contains the results of the CO2 carbonation simulation for the different hydroxides studied. Also, the spreadsheets named "SD" contains the results of the system dynamics model simulation for the different scenarios analyzed.