cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/79rw43rr7m.1
title: Source_Data_File_"Potential Impacts of Diversification of Food Retail Working Hours on Consumer Behaviour and the Benefits for Local Producers"

description: Source data files of the article "Potential Impacts of Diversification of Food Retail Working Hours on Consumer Behaviour and the Benefits for Local Producers"
A quantitative research approach was applied to examine the aspects of Latvian consumers' food purchasing behaviour and the role of supermarkets as food outlets, as well as the consumers' views on the potential closure of supermarkets on Sundays or the reduction of the opening hours on weekends to identify key trends in society rather than focusing on individual specific cases. The data collection method was a survey, and a questionnaire was designed for it. The questionnaire included 31 items for the quantitative measurement of consumer behaviour, values, and opinions and seven items for identifying consumers' socio-demographic status.
DOI: 10.17632/8xbg3x45xk.1
title: Transcriptome analysis identifies potential molecular mechanisms for growth of fast muscle in Chinese perch juvenile

description: These data are for the gene expression in the transcriptome of the fast muscle of Siniperca chuatsi at 30 and 60 days of postembryonic development.
DOI: 10.17632/5m5g2g2r5c.1
title: The Symbolism of Diwali: A Festival of Light, Hope, and Renewal

description: Diwali, the festival of lights, symbolizes the triumph of light over darkness and fosters unity and collective joy. Traditionally celebrated with lamps, sweets, and family gatherings, it encourages personal reflection and self-growth. This article explores Diwali’s symbolism and its effects on air quality in Delhi, highlighting the contributions of fireworks, stubble burning, and vehicular emissions to increased PM2.5 levels. The significant rise in air pollution necessitates eco-friendly alternatives to fireworks, raising awareness, and stricter regulations to protect both air quality and animal welfare. Future research should evaluate sustainable celebration methods and community engagement strategies. This study advocates for balancing cultural traditions with environmental responsibility, ensuring Diwali remains a festival of joy and sustainability. Wishing everyone a happy and safe Diwali!
DOI: 10.17632/rbwmp5bkg5.1
title: Experience curve data for li-ion batteries used in BEVs

description: This dataset is part of the publication "Experience curve analysis of lithium-ion battery price reduction considering heavy duty road vehicles" by Clara Rajalehto and Petri Helo.
DOI: 10.17632/x66w3sm27k.1
title: Supplemental materials: Clinical Characteristics of Cutaneous Squamous Cell Carcinoma Induced by Hydroxyurea in Patients with Myeloproliferative Diseases

description: Mendeley supplemental figure 1: The patient's facial appearance after 3 months of imiquimod cream treatment, showing significant improvement.
Mendeley supplemental figure 2: The dermoscopic diagnosis was seborrheic keratosis.
Mendeley supplemental file 1: Extracted data of 53 patients
Mendeley supplemental table 1: Remaining information of patients with HU-induced SCC
DOI: 10.5281/zenodo.13918306
title: Data from public granaries as a source of proxy data on grain harvests and weather extremes (Sušice region, Czech Republic)

description: This deposit contains eight .xlsx files related to the study of public granary data and their relation to grain harvests and weather extremes in the Sušice region (Czech Republic). In the study, annual values of grain borrowed by serfs, their grain depositions, the total grain storage and the total debt of serfs at the end of year were used to calculation of weighted grain indices considering the balance between borrowed and returned grain: a weighted bad harvest index (WBHI), a weighted good harvest index (WGHI), a weighted stored grain index (WSGI: WSGI-, more borrowed than returned; WSGI+, more returned than borrowed) and a weighted serf debt index (WSDI: WSDI+, more borrowed than returned grain; WSDI-, more returned than borrowed grain). WBHI, WSGI- and WSDI+ were used to select years of extreme bad harvest and WGHI, WSGI+ and WSDI- years of extreme good harvest. Selected extreme harvest years were tested against documentary weather data and reconstructed temperature, precipitation and drought series of the Czech Lands.

First six files (01a_borrowed grain_plus, 01b_returned grain_plus, 01c_stored grain_minus, 01d_stored grain_plus, 01e_serfs debt_plus, 01f_serfs debt_minus) contain three sheets representing individual cereals (rye, oats and barley). For each cereal, there are series of multiples of standard deviation used for calculation of individual indices mentioned above. These multiples were obtained from detrended series (using high-pass filter) of every grain characteristic as arithmetic mean plus/minus corresponding multiple of standard deviation.

The file „ 02_indices“ contains three sheets with weighted grain indices: WBHI, WGHI, WSGI-, WSGI+, WSDI+, WSDI-. Sheets represent individual cereals – rye, oats and barley.

The file „ 03_clima factors“ contains mean seasonal (DJF, MAM, JJA, and SON) temperature, precipitation and scPDSI for the period 1789–1849, expressed in deviations relative to the 1961–1990 reference period. The series are reconstructed temperatures for central Europe (Dobrovolný et al., 2010), reconstructed precipitation for the Czech Lands (Dobrovolný et al., 2015) and both of them were used for creation of scPDSI series (Brázdil et al., 2016).
DOI: 10.5281/zenodo.13918307
title: Data from public granaries as a source of proxy data on grain harvests and weather extremes (Sušice region, Czech Republic)

description: This deposit contains eight .xlsx files related to the study of public granary data and their relation to grain harvests and weather extremes in the Sušice region (Czech Republic). In the study, annual values of grain borrowed by serfs, their grain depositions, the total grain storage and the total debt of serfs at the end of year were used to calculation of weighted grain indices considering the balance between borrowed and returned grain: a weighted bad harvest index (WBHI), a weighted good harvest index (WGHI), a weighted stored grain index (WSGI: WSGI-, more borrowed than returned; WSGI+, more returned than borrowed) and a weighted serf debt index (WSDI: WSDI+, more borrowed than returned grain; WSDI-, more returned than borrowed grain). WBHI, WSGI- and WSDI+ were used to select years of extreme bad harvest and WGHI, WSGI+ and WSDI- years of extreme good harvest. Selected extreme harvest years were tested against documentary weather data and reconstructed temperature, precipitation and drought series of the Czech Lands.

First six files (01a_borrowed grain_plus, 01b_returned grain_plus, 01c_stored grain_minus, 01d_stored grain_plus, 01e_serfs debt_plus, 01f_serfs debt_minus) contain three sheets representing individual cereals (rye, oats and barley). For each cereal, there are series of multiples of standard deviation used for calculation of individual indices mentioned above. These multiples were obtained from detrended series (using high-pass filter) of every grain characteristic as arithmetic mean plus/minus corresponding multiple of standard deviation.

The file „ 02_indices“ contains three sheets with weighted grain indices: WBHI, WGHI, WSGI-, WSGI+, WSDI+, WSDI-. Sheets represent individual cereals – rye, oats and barley.

The file „ 03_clima factors“ contains mean seasonal (DJF, MAM, JJA, and SON) temperature, precipitation and scPDSI for the period 1789–1849, expressed in deviations relative to the 1961–1990 reference period. The series are reconstructed temperatures for central Europe (Dobrovolný et al., 2010), reconstructed precipitation for the Czech Lands (Dobrovolný et al., 2015) and both of them were used for creation of scPDSI series (Brázdil et al., 2016).
DOI: 10.23708/re36vc
title: Genetic data (9 microsatellite markers) of native and invasive Tuta absoluta populations (2009-2018)

description: Tuta absoluta (Meyrick) (Lepidoptera, Gelechiidae) is a destructive pest of tomato and many other solanaceous crops, with very high economic impacts. Its invasion threatens food security in a large part of the globe, in areas such as sub-Saharan Africa where the agricultural resilience has already been weakened by rapid human-induced changes due in particular to population growth, increased trade and global change. This work aimed to investigate the diversity and genetic structure of 60 populations of T. absoluta using microsatellite markers, with a particular focus on sub-Saharan Africa. NB: Loci with a mean estimate of null-allele frequency greater than 0.15, significant heterozygote deficiencies after Bonferroni correction and a highly substantial inbreeding coefficient were not used in the analyses in the associated paper. They are shown in grey in the dataset (Ta222 and Ta252).
DOI: 10.1594/pangaea.965798
title: Glacier inventory Ötztal Alps 2017

description: The glacier inventory data set includes the shape file of glacier outlines for the Ötztal Alps (Tyrol/Austria) for the year 2017. The glacier outlines were delineated manually by editing the features of the 3rd Austrian glacier inventory (GI3) based on high resolution LiDAR data and orthophotos (Abermann et al., 2009), both acquired by the Federal Administrations of Tyrol between date June 30 and Oktober 18, 2017. The 200 glaciers of the Ötztal Alps cover 114.4±3.4 km² in 2017, which is only 41±3% of their LIA extent of 280.4±28.4 km² (Fischer et al., 2015). The glacier area decreased by 17±0.5% since 2006 (GI3). Since the last inventory in 2006, five glaciers have disappeared. This data set will be added to a new glacier inventory for Austria (proposed GI5) once updates for all glacier regions of Austria become available from high resolution digital elevation models. Note that Hintereisferner is included twice in the inventory with (nr 2125) and without (nr 2125000) the dead ice body at the glacier tongue.
DOI: 10.34740/kaggle/dsv/9600065
title: AutoXGB
DOI: 10.34740/kaggle/dsv/9600067
title: OnlineFree
DOI: 10.15468/dl.2mvgpq
title: Occurrence Download

description: A dataset containing 1059 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Physalaemus albonotatus (Steindachner, 1864)"
 ]
}

 The dataset includes 1059 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007700-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.my7vf8
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Physalaemus atlanticus Haddad & Sazima, 2004"
 ]
}

 The dataset includes 165 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007701-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8gmtbn
title: Occurrence Download

description: A dataset containing 580777 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Asia, Oceania)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cygnus atratus (Latham, 1790)"
 ]
}

 The dataset includes 580777 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007685-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/2l7iog
title: renv.lock

description: R libraries list
DOI: 10.57745/4nmpcb
title: CITATION.cff

description: Citation File
DOI: 10.57745/lducc5
title: LICENSE

description: Licence File
DOI: 10.57745/uo50hz
title: _quarto.yml

description: File used to create the website
DOI: 10.57745/wverf7
title: setup-environment.sh

description: Script that should work on Linux to setup the environement
DOI: 10.57745/2uhab1
title: README.md

description: Readme to understand the repository
DOI: 10.57745/8maslc
title: Experiment1_APayments.jl

description: :unav
DOI: 10.57745/k5vcob
title: README_Replication.md

description: README for the replication
DOI: 10.57745/oc9ia5
title: Bibliography.bib

description: References cited.
DOI: 10.57745/r4lsdl
title: Experiment1_BPayments.jl

description: :unav
DOI: 10.57745/ts2x4z
title: Experiment1_CCleaningData.jl

description: :unav
DOI: 10.57745/2dsijx
title: Experiment1Anonymization.jl

description: :unav
DOI: 10.57745/75reic
title: my_email.py

description: :unav
DOI: 10.57745/8kueon
title: Experiment2Anonymization.R

description: :unav
DOI: 10.57745/rtw9ry
title: Experiment1_ACleaningData.jl

description: :unav
DOI: 10.57745/uqhfpi
title: Experiment2CleaningData.jl

description: :unav
DOI: 10.57745/uqino1
title: RoshamboData.qmd

description: :unav
DOI: 10.57745/300kb4
title: PaymentFunctions.jl

description: :unav
DOI: 10.57745/brf9ee
title: Experiment1_CPayments.jl

description: :unav
DOI: 10.57745/hyzkrp
title: Manifest.toml

description: List of libraries needed for Julia codes.
DOI: 10.57745/umww0t
title: RPS.jl

description: :unav
DOI: 10.57745/x188e5
title: CommonFunctions.jl

description: :unav
DOI: 10.57745/yjacmv
title: Constants.jl

description: :unav
DOI: 10.57745/3ffm7h
title: Project.toml

description: :unav
DOI: 10.57745/9wlzw0
title: PaperOutput.qmd

description: :unav
DOI: 10.57745/jawamo
title: Experiment1_BCleaningData.jl

description: :unav
DOI: 10.57745/rptzxd
title: Experiment2Payments.jl

description: :unav
DOI: 10.57745/ubr7go
title: setup.jl

description: :unav
DOI: 10.57745/vbro6p
title: PAP.qmd

description: :unav
DOI: 10.57745/2dtouy
title: HITManagement.py

description: Code used to approve/reject answers
DOI: 10.57745/cyxoox
title: GrantQualification.py

description: Code used to grant the AMT qualifications
DOI: 10.57745/dkt1i5
title: ReachingPayment.jl

description: Computing the payments
DOI: 10.57745/fxp6l5
title: paymturk.py

description: Payments of the AMT workers
DOI: 10.57745/kxsq4x
title: getturkers.py

description: Code used to get the AMT workers
DOI: 10.57745/rx12bz
title: SavingData.jl

description: Saving the payments
DOI: 10.57745/fpoudn
title: Experiments.zip

description: Code for running the various experiments
DOI: 10.57745/njg6kq
title: Experiment1_AComments.tab

description: :unav
DOI: 10.57745/ui0ez1
title: Feedback_2021-06-22.tab

description: :unav
DOI: 10.57745/wg8biu
title: PageTimes-2021-08-31.tab

description: :unav
DOI: 10.57745/wvzb3o
title: README_data.md

description: Catalog explaining all the variables in the dataset
DOI: 10.57745/zajfxd
title: PageTimes-2021-06-22.tab

description: :unav
DOI: 10.57745/2ndfnw
title: PageTimes-2021-07-07.tab

description: :unav
DOI: 10.57745/7e5iqu
title: Rock_Paper_Scissors_Raw_data.tab

description: Roshambo dataset
DOI: 10.57745/lpcp7o
title: Experiment1_BRawData.tab

description: :unav
DOI: 10.57745/qppqkm
title: Experiment1_CRawData.tab

description: :unav
DOI: 10.57745/tcatga
title: PageTimes-2023-08-15.tab

description: :unav
DOI: 10.57745/tcpau8
title: Experiment2RawData.tab

description: :unav
DOI: 10.57745/ayijeg
title: Experiment1_ARawData.tab

description: :unav
DOI: 10.57745/egwl6z
title: Feedback_2021-08-31.tab

description: :unav
DOI: 10.57745/ksocbe
title: Exp1-PaintingsResults.png

description: :unav
DOI: 10.57745/nt36uj
title: Experiment1_CComments.tab

description: :unav
DOI: 10.57745/txb8hj
title: Feedback_2021-07-07.tab

description: :unav
DOI: 10.57745/y5thfp
title: Experiment1_BComments.tab

description: :unav
DOI: 10.57745/6f3h9f
title: 1_Welcome.png

description: :unav
DOI: 10.57745/6rjhdr
title: 6_BeliefRPS.png

description: :unav
DOI: 10.57745/gmjdvm
title: 7_BeliefLottery.png

description: :unav
DOI: 10.57745/ihnbod
title: 9_Questionnaire.png

description: :unav
DOI: 10.57745/oi3i4m
title: 8_BestProcedure.png

description: :unav
DOI: 10.57745/wwf1ws
title: Exp1-TimeResults.png

description: :unav
DOI: 10.57745/4e37xx
title: Exp2-ResultScreen.png

description: :unav
DOI: 10.57745/9pyeee
title: 10_Feedback.png

description: :unav
DOI: 10.57745/aaqnny
title: 5_WTA.png

description: :unav
DOI: 10.57745/vzr8s3
title: 3_Lottery.png

description: :unav
DOI: 10.57745/ye5sok
title: 2_RPS.png

description: :unav
DOI: 10.57745/ywuvdb
title: 4_Choice.png

description: :unav
DOI: 10.57745/arjkqk
title: 2_Time.png

description: :unav
DOI: 10.5281/zenodo.13918390
title: A backgate for enhanced tunability of holes in planar germanium
DOI: 10.5281/zenodo.13918391
title: A backgate for enhanced tunability of holes in planar germanium
DOI: 10.6084/m9.figshare.27210537
title: MegacoxaMatrix2024

description: Data matrix for deciding the phylogenetic placement of three new species of fossil wasps
DOI: 10.6084/m9.figshare.27210537.v1
title: MegacoxaMatrix2024

description: Data matrix for deciding the phylogenetic placement of three new species of fossil wasps
DOI: 10.15468/dl.smmgq9
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Sex is one of (None, Male, Female, Hermaphrodite)",
 "TaxonKey is Chlorophyta"
 ]
}

 The dataset includes 94 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007702-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzw5f2
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Physalaemus barrioi Bokermann, 1967"
 ]
}

 The dataset includes 46 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007703-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2d5bp
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Codonopsis pilosula (Franch.) Nannf."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007704-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25440/smu.24425500
title: CSISG 2015: Full Year Datasets, Datamaps and Questionnaires

description: This record is part of 'The Customer Satisfaction Index of Singapore (CSISG) Annual Dataset Collection 2007-2022', providing raw data set, datamap and questionnaires for 2015. For related datasets across other years, refer to the full collection here: https://doi.org/10.25440/smu.c.6906043The Customer Satisfaction Index of Singapore (CSISG) is a landmark measure of customer satisfaction cutting across a variety of key sectors and sub-sectors in the services industry of Singapore. The study was produced and updated on an quarterly and annual basis from 2007 to 2022. First launched in April 2008, the CSISG is an independent and qualitative indicator of the Singapore economy. It covers 8 core economic sectors, more than 20 sub-sectors and numerous companies from the Air Transport Finance, Food & Beverage, Info-communications, Insurance, Land Transport, Retail, and Tourism industries. This national barometer of customer satisfaction in the Singapore economy serves as an objective gauge of service competitiveness between businesses, industries, and even countries. As it reports the overall customer satisfaction scores of every sector and sub-sector, including a ranking of the companies measured, the CSISG serves as an invaluable benchmarking tool across industries in the services sector.The methodological foundations of the Customer Satisfaction Index of Singapore can be traced to the American Customer Satisfaction Index (ACSI), developed by the National Quality Research Centre (NQRC) at the University of Michigan. The American Customer Satisfaction Index has been the standardised measure of customer satisfaction in the US economy since 1994.The Customer Satisfaction Index of Singapore is based on econometric modelling of data obtained from interviews with actual users of products and services.
DOI: 10.25440/smu.24425500.v1
title: CSISG 2015: Full Year Datasets, Datamaps and Questionnaires

description: This record is part of 'The Customer Satisfaction Index of Singapore (CSISG) Annual Dataset Collection 2007-2022', providing raw data set, datamap and questionnaires for 2015. For related datasets across other years, refer to the full collection here: https://doi.org/10.25440/smu.c.6906043The Customer Satisfaction Index of Singapore (CSISG) is a landmark measure of customer satisfaction cutting across a variety of key sectors and sub-sectors in the services industry of Singapore. The study was produced and updated on an quarterly and annual basis from 2007 to 2022. First launched in April 2008, the CSISG is an independent and qualitative indicator of the Singapore economy. It covers 8 core economic sectors, more than 20 sub-sectors and numerous companies from the Air Transport Finance, Food & Beverage, Info-communications, Insurance, Land Transport, Retail, and Tourism industries. This national barometer of customer satisfaction in the Singapore economy serves as an objective gauge of service competitiveness between businesses, industries, and even countries. As it reports the overall customer satisfaction scores of every sector and sub-sector, including a ranking of the companies measured, the CSISG serves as an invaluable benchmarking tool across industries in the services sector.The methodological foundations of the Customer Satisfaction Index of Singapore can be traced to the American Customer Satisfaction Index (ACSI), developed by the National Quality Research Centre (NQRC) at the University of Michigan. The American Customer Satisfaction Index has been the standardised measure of customer satisfaction in the US economy since 1994.The Customer Satisfaction Index of Singapore is based on econometric modelling of data obtained from interviews with actual users of products and services.
DOI: 10.15468/dl.eqnm7q
title: Occurrence Download

description: A dataset containing 451823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carassius auratus (Linnaeus, 1758), Cyprinus carpio Linnaeus, 1758, Sander lucioperca (Linnaeus, 1758))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 451823 records from 925 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007699-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.74ugnt
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-8.72753 35.6125,-6.4056 30.51392,30.06787 30.36961,44.07018 43.13483,27.4345 60.49868,-3.96396 53.77496,-13.91175 46.8967,-8.72753 35.6125))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Zodarion fuscum (Simon, 1870)"
 ]
}

 The dataset's 2 records were derived from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007698-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/5856528
title: Fairplay Scoutaktion 2024