cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/j78szr5p99.2
title: AI Enabled Test Bed Generator

description: Background:
It might take a lot of time and effort to create high-quality test beds for software testing that accurately reflect real-world events. Even with automated tools, it might be difficult to guarantee the inclusion of pertinent code smells or accurate data; manual generation frequently calls for a large amount of work.
Problem Statement:
Comprehensive software testing depends on effectively creating test beds that faithfully capture the subtleties and complexities of real systems, including code smells and plausible situations. Such features may be difficult to add to existing systems, which might result in inadequate test coverage and efficacy.
Solution Provided:
Code Smells Database: A database containing high-quality code smell samples used for static content generation.
Static Content Generator: A component that generates test beds using samples from the Code Smells Database.
ChatGPT API: An external API for ChatGPT that is used to generate test beds dynamically based on natural language input.
Ollama Engine: An in-house large language model (LLM) engine that can be triggered to generate test beds through specific commands (e.g., "Ollama").
Ollama REST API Client: A client that interacts with Ollama's REST APIs to trigger test bed generation.

You can find the updated code here.
Github URL : https://github.com/sohambpatel/TestBedGenerator
DOI: 10.17632/sffmtfmhwp.1
title: Data and code for "Discovering zero-covariance-portfolio curves for capital asset pricing models of multiple-objective portfolio selection"

description: The data and code
DOI: 10.17632/j78szr5p99.3
title: AI Enabled Test Bed Generator

description: Background:
It might take a lot of time and effort to create high-quality test beds for software testing that accurately reflect real-world events. Even with automated tools, it might be difficult to guarantee the inclusion of pertinent code smells or accurate data; manual generation frequently calls for a large amount of work.
Problem Statement:
Comprehensive software testing depends on effectively creating test beds that faithfully capture the subtleties and complexities of real systems, including code smells and plausible situations. Such features may be difficult to add to existing systems, which might result in inadequate test coverage and efficacy.
Solution Provided:
Code Smells Database: A database containing high-quality code smell samples used for static content generation.
Static Content Generator: A component that generates test beds using samples from the Code Smells Database.
ChatGPT API: An external API for ChatGPT that is used to generate test beds dynamically based on natural language input.
Ollama Engine: An in-house large language model (LLM) engine that can be triggered to generate test beds through specific commands (e.g., "Ollama").
Ollama REST API Client: A client that interacts with Ollama's REST APIs to trigger test bed generation.

You can find the updated code here.
Github URL : https://github.com/sohambpatel/TestBedGenerator
DOI: 10.17632/6nkhrj45s8.1
title: Data availability

description: The post-entrapment depth and latest recrystallizing depth can possibly be determined by considering the pressure and density of the CO2 fluid inclusion data from the Phayaung Taung region. The density of the CO2 fluid inclusion was determined using the Wang equation, as shown in Table 1. Using the density of the fluid inclusion data, we were able to determine the estimated pressure of the CO2 fluid inclusion, as seen in supplemental table 1 and 2.
DOI: 10.17632/bwvfgvzc7t.1
title: Ovarian Follicle Culture

description: data set
DOI: 10.17632/6nkhrj45s8.2
title: Data availability

description: The post-entrapment depth and latest recrystallizing depth can possibly be determined by considering the pressure and density of the CO2 fluid inclusion data from the Phayaung Taung region. The density of the CO2 fluid inclusion was determined using the Wang equation, as shown in Table 1. Using the density of the fluid inclusion data, we were able to determine the estimated pressure of the CO2 fluid inclusion, as seen in supplemental table 1 and 2.
DOI: 10.17632/3dkh7f7tnh.1
title: Data analysis over GDPR compliance article 13 with ChatGPT

description: The dataset is composed of 115 privacy policies from the OPP-115 corpus. Which have been re-annotated to check compliance over article 13(1)(c)(purpose) and 13(1)(d)(legitimate consent). 
This dataset served as ground truth to validate a ChatGPT-based method. 
Column description:
C1: ID of the policy in the OPP-115 dataset
C2: The whole privacy policie.
C3: Text that reflects good or bad practices for the purpose requirement
C4: Text that reflects if a phrase indicates the data subject consent for using all their data
C5: Annotations to indicate compliance of both legal requirements
C6: Actual value of purpose compliance
C7: Actual value of legitimate consent
C8: ChatGPT answer of purpose compliance
C9: ChatGPT answer of legitimate consent compliance
DOI: 10.17632/63jtjttfg5.1
title: Fabrication of laminated Ti-TiBw/Ti composites using wire arc additive manufacturing: synergistic enhancement of strength and ductility

description: Here are the experimental data on the arc additive manufacturing of laminated Ti-TiBw/Ti composites. The detailed information of the raw materials and experimental samples can be seen from this.
DOI: 10.17632/j727kg5dt7.1
title: Behavioural Analysis for Market Anomalies with Heterogeneous Agent Model

description: We establish an agent-based artificial financial market, which can generate time series of asset price. This agent-based model is compute- oriented and implemented via Python. Therefore, the dataset was separated into two parts: first, code.rar contained different functional element program; second, data.rar contained the raw data that generated by the agent-based model each round.
DOI: 10.17632/j727kg5dt7.2
title: Behavioural Analysis for Market Anomalies with Heterogeneous Agent Model

description: We establish an agent-based artificial financial market, which can generate time series of asset price. This agent-based model is compute- oriented and implemented via Python. Therefore, the dataset was separated into two parts: first, code.rar contained different functional element program; second, data.rar contained the raw data that generated by the agent-based model each round.
DOI: 10.17632/hxfs3t4rct.1
title: Autistic traits and multidimensional empathy data in Chinese young adults

description: We tested 893 autistic traits and multidimensional empathy of Chinese young adults by the Autism Spectrum Quotient (AQ; Baron-Cohen et al., 2001), the Broad Autism Phenotype Questionnaire (BAPQ; Hurley et al., 2007), and the Multifaceted Empathy Test (Dziobek et al., 2008).
DOI: 10.15468/dl.kbev9z
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Phytoplankton abundance during Arne Tiselius cruise AT91/2",
 "Country is Sweden"
 ]
}

 The dataset includes 98 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017868-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.znq7hj
title: Occurrence Download

description: A dataset containing 57329 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Project OPKK Monitoring Birds - bird observations collected for the development of monitoring programs during 2022-2023"
 ]
}

 The dataset includes 57329 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017864-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qgfmw4
title: Occurrence Download

description: A dataset containing 6407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Andorra, Albania, Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Algeria, Estonia, Egypt, Greece, Spain, Finland, Faroe Islands, France, Georgia, Guernsey, Gibraltar, Croatia, Hungary, Ireland, Israel, Isle of Man, Iceland, Italy, Jersey, Lebanon, Liechtenstein, Lithuania, Luxembourg, Latvia, Libya, Morocco, Monaco, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Palestine, State of, Portugal, Romania, Serbia, Russian Federation, Sweden, Slovenia, Svalbard and Jan Mayen, Slovakia, San Marino, Syrian Arab Republic, Tunisia, Türkiye, Ukraine, United Kingdom of Great Britain and Northern Ireland, French Guiana, Guadeloupe, Martinique, Mayotte, Réunion, Saint Martin (French part), Holy See)",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Occurrence evidence, Observation)",
 "ScientificName is one of (Asclepias syriaca, Asclepias syriaca L.)"
 ]
}

 The dataset includes 6407 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017867-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6deeca
title: Occurrence Download

description: A dataset containing 6407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Andorra, Albania, Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Algeria, Estonia, Egypt, Greece, Spain, Finland, Faroe Islands, France, Georgia, Guernsey, Gibraltar, Croatia, Hungary, Ireland, Israel, Isle of Man, Iceland, Italy, Jersey, Lebanon, Liechtenstein, Lithuania, Luxembourg, Latvia, Libya, Morocco, Monaco, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Palestine, State of, Portugal, Romania, Serbia, Russian Federation, Sweden, Slovenia, Svalbard and Jan Mayen, Slovakia, San Marino, Syrian Arab Republic, Tunisia, Türkiye, Ukraine, United Kingdom of Great Britain and Northern Ireland, French Guiana, Guadeloupe, Martinique, Mayotte, Réunion, Saint Martin (French part), Holy See)",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Occurrence evidence, Observation)",
 "ScientificName is one of (Asclepias syriaca, Asclepias syriaca L.)"
 ]
}

 The dataset includes 6407 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017870-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/4wpnje
title: 2018-2019 Marine Biological Association of the UK (MBA) Batten Bay Corella eumyota and Watersipora subatra winter survey

description: Volunteer records of non-native intertidal fauna during Timed Species Searcheson shores between December and February 2018/19 at Mt Batten, South Devon. This survey started in December 2018, usually these surveys are completed within a day, where as during this survey the sites had to be revisited in February 2019 of the next year for survey completion.
DOI: 10.15468/dl.273fvk
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.19_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Allium przewalskianum Regel"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017872-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.arwna9
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Grus japonensis (Statius Muller, 1776)"
 ]
}

 The dataset's 2 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017857-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5u9t3j
title: Occurrence Download

description: A dataset containing 379 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anolis jubar Schwartz, 1968"
 ]
}

 The dataset includes 379 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017871-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v6rvt4
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Material sample, Human Observation, Machine Observation)",
 "Country is Nepal",
 "TaxonKey is Canis lupus Linnaeus, 1758"
 ]
}

 The dataset's 1 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017858-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/f5k2czdtrx.1
title: ASA-PS

description: excel data used for analyses
DOI: 10.17632/7kbgfn5tfh.1
title: Impact of traffic on heavy metal pollution of urban soils (Lublin, Poland)

description: Information on the heavy metals content in urban soils is important for a comprehensive assessment of environmental pollution. An important source of soil pollution can be traffic-related emissions. The objective of the study was to assess the sources and level of soil pollution in medium-sized city (Lublin, E Poland). Concentrations of As, Cd, Cr, Cu, Ni, Pb and Zn were determined in 62 samples of road dust and 90 soil samples. We applied following geochemical indices to determine the degree of pollution. PCA and CA were also used to assess sources of pollution. Geochemical indices showed the existence of medium to high pollution of dust and soils near roads by Cu and Zn and high for Cd, Cu and Zn in post-industrial soils. The results of the statistical analyses showed the same pollution sources for road dust and roadside soils. It is represented by transport-related emissions.
DOI: 10.17632/yht6b36pkd.1
title: STUDENT+ALCOHOL+CONSUMPTION

description: P. Cortez and A. Silva. Using Data Mining to Predict Secondary School Student Performance. In A. Brito and J. Teixeira Eds., Proceedings of 5th FUture BUsiness TEChnology Conference (FUBUTEC 2008) pp. 5-12, Porto, Portugal, April, 2008, EUROSIS, ISBN 978-9077381-39-7.

Fabio Pagnotta, Hossain Mohammad Amran.
Email:fabio.pagnotta@studenti.unicam.it, mohammadamra.hossain '@' studenti.unicam.it
University Of Camerino

https://archive.ics.uci.edu/ml/datasets/STUDENT+ALCOHOL+CONSUMPTION
DOI: 10.17632/5n5dhh2ymr.1
title: Monitoring_HeritageHousing_Andalusia2022

description: Results of the monitoring campaign (environmental variables) carried out in three dwellings (five rooms) in social heritage buildings in the conservation areas of Córdoba and Granada (Spain) during the summer of 2022
DOI: 10.17632/5c383fhnxc.1
title: Trade openness and human capital investment in Thailand

description: I study the effects of export growth on the skill premium and educational attainment in Thailand. I develop an overlapping generations model to analyze schooling decisions of households when export growth creates more job opportunities in unskilled sectors. An increase in the unskilled wage can reduce the skill premium and encourage early school dropouts. However, a higher unskilled wage can also enable more schooling among credit-constrained households via an income effect, especially when schooling is not free. The net effect may differ depending on factors like household wealth and the ability of the child. I use Thailand's household data from 1995 to 2019 to empirically test my model's predictions, exploiting provincial variation in trade exposure. On average, the effect of the fall in skill premium slightly dominates the income effect, leading to a net decrease of 0.1-0.6 percentage points in school enrollment for each one percent increase in export exposure. Nonetheless, the effect of export exposure is likely to be more positive among highly credit-constrained households and among children of higher ability. 

Due to the Microdata User Agreement with Thailand’s National Statistical Office (NSO), the household data contained in the Labor Force Surveys and Socio-economic Surveys must be held confidential. Only the statistical codes are available. The international trade and tariff data and codes are fully available.
DOI: 10.17632/4f2mn84sww.1
title: Sugar-mediated non-canonical ubiquitination impairs Nrf1/NFE2L1 activation

description: data (gels and blots)
DOI: 10.17632/4f2mn84sww.2
title: Sugar-mediated non-canonical ubiquitination impairs Nrf1/NFE2L1 activation

description: data (gels and blots)
DOI: 10.17632/pxpyjswnyj.1
title: Sul regime IVA del servizio di consulenza in materia di investimenti (2018)

description: Regime IVA del servizio di consulenza in materia di investimenti
DOI: 10.17632/4f2mn84sww.3
title: Sugar-mediated non-canonical ubiquitination impairs Nrf1/NFE2L1 activation

description: Western blot, gel, and microscopy images
DOI: 10.17632/cw5jkf65sd.1
title: La nuova disciplina del servizio di ricerca in materia di investimenti. Conseguenze applicative in materia di imposta sul valore aggiunto. (2018)

description: La nuova disciplina del servizio di ricerca in materia di investimenti. Conseguenze applicative in materia di imposta sul valore aggiunto. (2018)
DOI: 10.17632/wfnhdv2tjx.1
title: Metaphysical Deterrents to Providers’ Participation in the Sharing Economy

description: Individual files of the data from each study and the full list of open-ended-question responses from Study 2.
DOI: 10.17632/b9ftc3fbxz.1
title: Il principio del contraddittorio nel procedimento tributario: brevi riflessioni sull’evoluzione della giurisprudenza delle Sezioni Unite della Corte di Cassazione

description: This work aims to analyse the question whether or not taxpayers have the right to
a prior hearing during the procedure of tax proceeding and the consequences of its
violation. The author makes a doctrinal and jurisprudential analysis of the above
mentioned right, from the rising of this matter until the most recent judgments of the
Supreme Court. Because of the contrast of case-law, recently the Supreme Court
ruled that there isn’t the right of the defence as a general principle in the national law,
unlike Community law. So in the procedure of tax proceeding involving nonharmonised
taxation, Italian Tax Authorities are not obliged to respect the taxpayer’s
right to be heard and such behaviour doesn’t cause of voidness.
DOI: 10.17632/72bcmsnxcf.1
title: Numerical and Analytical Investigation of the Rotating Flow of Two Immiscible Liquids in a Vertical Concentric Annulus

description: tEMPERATURE PROFILE AND STREAM FUCTION PROFILE
DOI: 10.17632/cf83psmrv4.1
title: Dataset for thermal error compensation in a 3-axis CNC machine

description: This dataset provides comprehensive measurements of positioning errors in 3-axis CNC machines under varying thermal conditions, allowing the identification of accuracy and behavior in CNC machining environments, enabling the understanding of the impact of thermal fluctuations on the machine structure and components with respect to machining precision. Obtaining accurate positioning error measurements in 3-axis CNC machines is time-intensive process. The use of interferometric laser systems requires setup and calibration to ensure precise data acquisition. The replication in several temperature conditions also extend the setup time. This prolonged measurement time is necessary to capture the dynamic variations influenced by thermal fluctuations across X, Y, and Z axes.
DOI: 10.17632/fydvhpnpg7.1
title: Training data to create neural networks for power system networks

description: Different loading profiles for active and reactive power demands at load buses are mapped to their optimal solutions (Active power generation and voltage magnitudes at generator buses), for IEEE 14 and 30-bus standard grids solved by Matpower interior point solver (MIPS). These data can be used to train neural networks to find the non-linear relationships between load demands and generation dispatches. This is useful in finding efficient algorithm that can speed up the computation time to solve ACOPF (AC Optimal Power Flow) problem.
DOI: 10.17632/zswb45sk5z.1
title: Dataset for MgSO4 dissociation by Li et al.

description: Dataset for MgSO4 dissociation by Li et al.
DOI: 10.17632/5mhm4gzfnx.1
title: MBID2024

description: MBID2024
DOI: 10.17632/5mhm4gzfnx.2
title: MBID2024

description: MBID2024
DOI: 10.15468/dl.9z7p7s
title: Occurrence Download

description: A dataset containing 6407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Andorra, Albania, Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Algeria, Estonia, Egypt, Greece, Spain, Finland, Faroe Islands, France, Georgia, Guernsey, Gibraltar, Croatia, Hungary, Ireland, Israel, Isle of Man, Iceland, Italy, Jersey, Lebanon, Liechtenstein, Lithuania, Luxembourg, Latvia, Libya, Morocco, Monaco, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Palestine, State of, Portugal, Romania, Serbia, Russian Federation, Sweden, Slovenia, Svalbard and Jan Mayen, Slovakia, San Marino, Syrian Arab Republic, Tunisia, Türkiye, Ukraine, United Kingdom of Great Britain and Northern Ireland, French Guiana, Guadeloupe, Martinique, Mayotte, Réunion, Saint Martin (French part), Holy See)",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Occurrence evidence, Observation)",
 "ScientificName is one of (Asclepias syriaca, Asclepias syriaca L.)"
 ]
}

 The dataset includes 6407 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017874-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tnzryj
title: Occurrence Download

description: A dataset containing 2115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ciconia boyciana Swinhoe, 1873"
 ]
}

 The dataset includes 2115 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017875-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.