{"status":"OK","data":{"id":220535,"identifier":"SS/IFM3QS","persistentUrl":"https://doi.org/10.17026/SS/IFM3QS","protocol":"doi","authority":"10.17026","separator":"/","publisher":"DANS Data Station Social Sciences and Humanities","publicationDate":"2024-04-26","storageIdentifier":"surf://10.17026/SS/IFM3QS","effectiveDatasetFileCountLimit":10000,"datasetFileUploadsAvailable":9989,"datasetType":"dataset","locks":[],"latestVersion":{"id":16255,"datasetId":220535,"datasetPersistentId":"doi:10.17026/SS/IFM3QS","datasetType":"dataset","storageIdentifier":"surf://10.17026/SS/IFM3QS","versionNumber":1,"internalVersionNumber":46,"versionMinorNumber":0,"versionState":"RELEASED","latestVersionPublishingState":"RELEASED","deaccessionLink":"","distributionDate":"2025-09-01","lastUpdateTime":"2024-04-26T14:54:35Z","releaseTime":"2024-04-26T14:54:35Z","createTime":"2024-02-20T15:06:56Z","publicationDate":"2024-04-26","citationDate":"2025-09-01","effectiveDatasetFileCountLimit":10000,"datasetFileUploadsAvailable":9989,"license":{"name":"CC-BY-NC-4.0","uri":"http://creativecommons.org/licenses/by-nc/4.0","iconUri":"https://i.creativecommons.org/l/by-nc/4.0/88x31.png"},"fileAccessRequest":true,"metadataBlocks":{"citation":{"displayName":"Citation Metadata","name":"citation","fields":[{"typeName":"title","multiple":false,"typeClass":"primitive","value":"A bilingual dataset for testing web probing in the US and India: The example of measures of environmental change"},{"typeName":"author","multiple":true,"typeClass":"compound","value":[{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Arts, Ingrid"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Utrecht University"},"authorIdentifierScheme":{"typeName":"authorIdentifierScheme","multiple":false,"typeClass":"controlledVocabulary","value":"ORCID"},"authorIdentifier":{"typeName":"authorIdentifier","multiple":false,"typeClass":"primitive","value":"0000-0003-2378-3354"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"van de Schoot, Rens"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Utrecht University"},"authorIdentifierScheme":{"typeName":"authorIdentifierScheme","multiple":false,"typeClass":"controlledVocabulary","value":"ORCID"},"authorIdentifier":{"typeName":"authorIdentifier","multiple":false,"typeClass":"primitive","value":"0000-0001-7736-2091"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Meitinger, Katharina"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Utrecht University"},"authorIdentifierScheme":{"typeName":"authorIdentifierScheme","multiple":false,"typeClass":"controlledVocabulary","value":"ORCID"},"authorIdentifier":{"typeName":"authorIdentifier","multiple":false,"typeClass":"primitive","value":"0000-0001-8160-556X"}}]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"Arts, Ingrid"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"Utrecht University"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"To assess the feasibility of web probing in India, we conducted an online survey containing different probing questions in India and the US on the topic of environmental concern. The survey was available in English in both countries and in Hindi in India. The data was collected from December 2022 until May 2023 using the crowdsourcing platform Amazon MTurk. This resulted in 512 respondents from the US and 739 from India (English: 386 respondents, Hindi: 353 respondents). The data provides crucial insights into the performance of web probing outside the Western context and the comparability of measures of environmental concern."},"dsDescriptionDate":{"typeName":"dsDescriptionDate","multiple":false,"typeClass":"primitive","value":"2024-02-20"}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Social Sciences"]},{"typeName":"keyword","multiple":true,"typeClass":"compound","value":[{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"web probing"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"environmental concern"}}]},{"typeName":"language","multiple":true,"typeClass":"controlledVocabulary","value":["English","Hindi"]},{"typeName":"grantNumber","multiple":true,"typeClass":"compound","value":[{"grantNumberAgency":{"typeName":"grantNumberAgency","multiple":false,"typeClass":"primitive","value":"Utrecht University"}}]},{"typeName":"distributionDate","multiple":false,"typeClass":"primitive","value":"2025-09-01"},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Arts, Ingrid"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2024-02-20"},{"typeName":"timePeriodCovered","multiple":true,"typeClass":"compound","value":[{"timePeriodCoveredStart":{"typeName":"timePeriodCoveredStart","multiple":false,"typeClass":"primitive","value":"2022-12-1"},"timePeriodCoveredEnd":{"typeName":"timePeriodCoveredEnd","multiple":false,"typeClass":"primitive","value":"2023-5-31"}}]},{"typeName":"dateOfCollection","multiple":true,"typeClass":"compound","value":[{"dateOfCollectionStart":{"typeName":"dateOfCollectionStart","multiple":false,"typeClass":"primitive","value":"2022-12-1"},"dateOfCollectionEnd":{"typeName":"dateOfCollectionEnd","multiple":false,"typeClass":"primitive","value":"2023-5-31"}}]},{"typeName":"kindOfData","multiple":true,"typeClass":"primitive","value":["survey data"]},{"typeName":"software","multiple":true,"typeClass":"compound","value":[{"softwareName":{"typeName":"softwareName","multiple":false,"typeClass":"primitive","value":"Qualtrics"}}]}]},"dansRights":{"displayName":"Rights Metadata","name":"dansRights","fields":[{"typeName":"dansRightsHolder","multiple":true,"typeClass":"primitive","value":["Utrecht University"]},{"typeName":"dansPersonalDataPresent","multiple":false,"typeClass":"controlledVocabulary","value":"No"},{"typeName":"dansMetadataLanguage","multiple":true,"typeClass":"controlledVocabulary","value":["English"]}]},"dansRelationMetadata":{"displayName":"Relation Metadata","name":"dansRelationMetadata","fields":[{"typeName":"dansAudience","multiple":true,"typeClass":"primitive","value":["https://www.narcis.nl/classification/D11600","https://www.narcis.nl/classification/E15000"],"expandedvalue":[{"@id":"https://www.narcis.nl/classification/D11600","termName":[{"lang":"nl","value":"Waarschijnlijkheidsrekening en statistiek"},{"lang":"en","value":"Probability theory, statistics"}],"vocabularyUri":"https://www.narcis.nl/classification/"},{"@id":"https://www.narcis.nl/classification/E15000","termName":[{"lang":"en","value":"Environmental studies"},{"lang":"nl","value":"Milieustudies"}],"vocabularyUri":"https://www.narcis.nl/classification/"}]}]},"dansSocialSciences":{"displayName":"Social Sciences and Humanities","name":"dansSocialSciences","fields":[{"typeName":"dansElsstClassification","multiple":true,"typeClass":"primitive","value":["https://elsst.cessda.eu/id/4/b949de54-22e5-40cc-a9bd-efe1148d4ee4","https://elsst.cessda.eu/id/4/59ff6ebb-85f4-41fe-8302-ba1e446467e1"],"expandedvalue":[{"@id":"https://elsst.cessda.eu/id/4/b949de54-22e5-40cc-a9bd-efe1148d4ee4","termName":[{"lang":"en","value":"RESEARCH METHODOLOGY"},{"lang":"is","value":"AÐFERÐAFRÆÐI RANNSÓKNA"},{"lang":"sl","value":"RAZISKOVALNA METODOLOGIJA"},{"lang":"fr","value":"MÉTHODOLOGIE DE RECHERCHE"},{"lang":"fi","value":"TUTKIMUSMENETELMÄT"},{"lang":"de","value":"FORSCHUNGSMETHODOLOGIE"},{"lang":"cs","value":"METODOLOGIE VÝZKUMU"},{"lang":"hu","value":"KUTATÁSI MÓDSZER"},{"lang":"nl","value":"ONDERZOEKSMETHODE"},{"lang":"es","value":"METODOLOGÍA DE LA INVESTIGACIÓN"},{"lang":"lt","value":"TYRIMŲ METODOLOGIJA"},{"lang":"sv","value":"FORSKNINGSMETODOLOGI"},{"lang":"no","value":"FORSKNINGSMETODOLOGI"},{"lang":"el","value":"ΜΕΘΟΔΟΛΟΓΙΑ ΤΗΣ ΕΡΕΥΝΑΣ"}]},{"@id":"https://elsst.cessda.eu/id/4/59ff6ebb-85f4-41fe-8302-ba1e446467e1","termName":[{"lang":"no","value":"MILJØBEVISSTHET"},{"lang":"el","value":"ΠΕΡΙΒΑΛΛΟΝΤΙΚΗ ΕΥΑΙΣΘΗΤΟΠΟΙΗΣΗ"},{"lang":"nl","value":"MILIEUBEWUSTZIJN"},{"lang":"sv","value":"MILJÖMEDVETENHET"},{"lang":"en","value":"ENVIRONMENTAL AWARENESS"},{"lang":"ro","value":"SENSIBILIZARE FAȚĂ DE MEDIU"},{"lang":"fi","value":"YMPÄRISTÖTIETOISUUS"},{"lang":"hu","value":"KÖRNYEZETTUDATOSSÁG"},{"lang":"is","value":"UMHVERFISVITUND"},{"lang":"sl","value":"OKOLJSKA OZAVEŠČENOST"},{"lang":"de","value":"UMWELTBEWUSSTSEIN"},{"lang":"lt","value":"APLINKOSAUGINIS SĄMONINGUMAS"},{"lang":"fr","value":"SENSIBILISATION À L'ENVIRONNEMENT"},{"lang":"cs","value":"POVĚDOMÍ O OCHRANĚ ŽIVOTNÍHO PROSTŘEDÍ"},{"lang":"es","value":"CONCIENCIA AMBIENTAL"}]}]},{"typeName":"dansUniverse","multiple":true,"typeClass":"primitive","value":["The intended sample size was 1,200 respondents, evenly distributed over three survey groups: US English (400), India with English language version (400), and India with Hindi language version (400). The participation in the survey was quota-based in all three survey versions. For every survey version, we aimed to get an equal distribution of male and female respondents, and an equal distribution per age group of 18-30, 31-50, and 50+ years old. \n\nAmerican English sample\nRespondents in the US received the survey in English. In total, we received 512 responses from American respondents. This was rather peculiar since we only asked MTurk for 400 US respondents. This means that we received 112 extra responses. Even after data cleaning, we were left with 456 respondents. Although we were not sure where these extra respondents came from, we decided to keep them in the dataset, since the answers they provided might contain useful information.\nOf these 456 respondents, 203 were male, 207 were female, and 1 person chose the option “other”. 45 respondents did not declare their gender. Ages ranged between 21 and 72 years old (M=36.7, SD=12.2). 371 respondents had completed higher education (bachelor or more), while 40 had not. 45 respondents did not answer this question.\n\nIndian English sample\nRespondents from India could opt for the survey in English or Hindi. In total, we received 387 responses from India. After screening and exclusion (for details, see the section about data screening below) there were 376 English responses from India included in the final dataset. 185 were male, 143 were female, and 39 did not provide this information. Ages ranged from 21 to 70 years old (M= 36.1, SD= 10.1). 312 respondents had completed higher education, 15 had not. 40 respondents did not answer this question.\n\nIndian Hindi sample. \nThe survey in Hindi yielded a total of 353 responses. 16 respondents were excluded from the dataset, with 337 respondents who answered the Hindi dataset. 149 respondents were male, 87 were female, and one respondent selected “other”. Ages ranged from 22 to 64 years old (M=34.6, SD=7.7). 228 respondents had completed higher education, 18 had not, and 54 skipped this question.\n\nThis means that the total sample size started with a total of 1252 responses. 1148 of those responses were included in the final dataset, which is 91.69% of the total number of responses. Data were excluded from the final dataset based on three criteria: the lack of a valid MTurk ID, break-off before the first question, and speeding. The obtained sample sizes can be found in Table 1.\n\nRespondents who completed the survey received an incentive of $2.50. This coincides with the hourly minimum wage in the US (US government, n.d.). $2.50 is higher than the minimum wage in India, but how much is not exactly clear, as minimum wage differs per state, type of labor, and skill of the worker. We selected a comparatively high incentive for India because Litman et al. (2014) showed that compensation above minimum wage increased response quality for Indian Amazon Mturk workers."]},{"typeName":"dansSamplingProcedureFreeText","multiple":false,"typeClass":"primitive","value":"For this web probing study, we conducted a cross-sectional survey in India and the US. Participants were recruited online via Amazon MTurk. \n\nWe also conducted an experiment regarding the answer options of the specific probes. This experiment is a replication of the study of Meitinger and Kunz (2022).\nThe experiment had a between-subjects design where respondents were randomly assigned to the experimental conditions at the beginning of the survey. Half of the respondents were randomly assigned to a condition with one answer box, and the other half of the respondents were assigned to a condition with five list-style answer boxes."},{"typeName":"dansDataCollectionSituation","multiple":false,"typeClass":"primitive","value":"The final versions of the questionnaires were implemented in QualtricsTM. To ensure that only the targeted audience (respondents from India and the US) could take the survey, only users with an IP address within these countries were allowed to take the survey. Respondents from outside these countries, as well as users of Proxy or Virtual Private Server (VPS), were blocked from the survey. For this purpose, we implemented IP HUB in our survey.\n\nTo prevent bots from taking the survey, both reCAPTCHA v2 and v3 were used. At the beginning of the survey respondents were asked to verify that they were not a robot by selecting certain parts of an image (reCAPTCHA v2). Throughout the survey, reCAPTCHA v3 was running in the background. This reCAPTCHA returned a number varying from 0 to 1.0, with a number below 0.3 being most likely bots and above 0.7 being most likely human. However, a low reCAPTCHA score can also be due to the used browser or the fact that JavaScript was disabled or not up to date. Therefore, answers given by respondents with no reCAPTCHA score, or a reCAPTCHA score below 0.3 were manually checked. In that case, both the click count (number of times respondents click on a page) and the answers to the probing questions were compared to respondents with high reCAPTCHA scores.\n\nAs an additional quality measure, only MTurk workers who had a 90% or higher success rate in completing previous tasks on MTurk could participate in the survey.\n\nRespondents were blocked from taking the survey twice by turning on the option ‘prevent multiple submissions’ in Qualtrics."},{"typeName":"dansActionsToMinimizeLoss","multiple":false,"typeClass":"primitive","value":"Respondents who completed the survey received an incentive of $2.50. This coincides with the hourly minimum wage in the US (US government, n.d.). $2.50 is higher than the minimum wage in India, but how much is not exactly clear, as minimum wage differs per state, type of labor, and skill of the worker."},{"typeName":"dansResponseRate","multiple":false,"typeClass":"primitive","value":"91%"}]},"dansTemporalSpatial":{"displayName":"Temporal and Spatial Coverage","name":"dansTemporalSpatial","fields":[{"typeName":"dansTemporalCoverage","multiple":true,"typeClass":"primitive","value":["2022/2023"]},{"typeName":"dansSpatialCoverageControlled","multiple":true,"typeClass":"controlledVocabulary","value":["India","United States"]}]},"dansDataVaultMetadata":{"displayName":"Data Vault Metadata","name":"dansDataVaultMetadata","fields":[{"typeName":"dansDataversePid","multiple":false,"typeClass":"primitive","value":"doi:10.17026/SS/IFM3QS"},{"typeName":"dansDataversePidVersion","multiple":false,"typeClass":"primitive","value":"1.0"},{"typeName":"dansBagId","multiple":false,"typeClass":"primitive","value":"urn:uuid:437169e7-b2d9-4cbb-8134-ddd3b0ff0db1"},{"typeName":"dansNbn","multiple":false,"typeClass":"primitive","value":"urn:nbn:nl:ui:13-d1225b85-c48a-4ab0-8b5e-16f517cfaf34"}]}},"files":[{"label":"cleaned_data_India_US.ods","restricted":false,"version":1,"datasetVersionId":16255,"dataFile":{"id":233384,"persistentId":"","filename":"cleaned_data_India_US.ods","contentType":"application/vnd.oasis.opendocument.spreadsheet","friendlyType":"OpenOffice Spreadsheet","filesize":2410929,"embargo":{"dateAvailable":"2025-09-01"},"storageIdentifier":"surf://store:18f1adffc38-dc0393e4590a","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"10146bf6be15c6b6fb3422f9157469d1d3d097d6"},"tabularData":false,"creationDate":"2024-04-26","publicationDate":"2024-04-26","lastUpdateTime":"2024-04-26T14:54:35Z","fileAccessRequest":true}},{"description":"cleaned dataset of Indian and US responses","label":"cleaned_data_India_US.sav","restricted":false,"version":1,"datasetVersionId":16255,"dataFile":{"id":220962,"persistentId":"","filename":"cleaned_data_India_US.sav","contentType":"application/x-spss-sav","friendlyType":"SPSS Binary","filesize":4866533,"description":"cleaned dataset of Indian and US responses","embargo":{"dateAvailable":"2025-09-01","reason":"To allow for PhD completion"},"storageIdentifier":"surf://store:18e3769cb48-77e2b72b902d","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"04a9a521aafe227fb69344f9ce6c7ea953fc476a"},"tabularData":false,"creationDate":"2024-03-13","publicationDate":"2024-04-26","lastUpdateTime":"2024-04-26T14:54:35Z","fileAccessRequest":true}},{"description":"cleaned dataset of Indian and US responses","label":"cleaned_data_India_US.xlsx","restricted":false,"version":1,"datasetVersionId":16255,"dataFile":{"id":220961,"persistentId":"","filename":"cleaned_data_India_US.xlsx","contentType":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","friendlyType":"MS Excel Spreadsheet","filesize":1494182,"description":"cleaned dataset of Indian and US responses","embargo":{"dateAvailable":"2025-09-01","reason":"To allow for PhD completion"},"storageIdentifier":"surf://store:18e373e8d5c-31b236c89902","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"816929f64cd5cae694467a0533212ea8415ccebe"},"tabularData":false,"creationDate":"2024-03-13","publicationDate":"2024-04-26","lastUpdateTime":"2024-04-26T14:54:35Z","fileAccessRequest":true}},{"label":"codebook.docx","restricted":false,"version":1,"datasetVersionId":16255,"dataFile":{"id":229774,"persistentId":"","filename":"codebook.docx","contentType":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","friendlyType":"MS Word","filesize":48749,"storageIdentifier":"surf://store:18e7b08a2a9-5861dd106e14","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"094782b8e268aceef7f4af90e037b38c4626a8d6"},"tabularData":false,"creationDate":"2024-03-26","publicationDate":"2024-04-26","lastUpdateTime":"2024-04-26T14:54:35Z","fileAccessRequest":true}},{"label":"codebook.pdf","restricted":false,"version":1,"datasetVersionId":16255,"dataFile":{"id":233383,"persistentId":"","filename":"codebook.pdf","contentType":"application/pdf","friendlyType":"Adobe PDF","filesize":265409,"storageIdentifier":"surf://store:18f1ae017b4-f1a72d25bd9c","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"e7d534d2f4b0c8d59a4b7a5bd94da02d8421f722"},"tabularData":false,"creationDate":"2024-04-26","publicationDate":"2024-04-26","lastUpdateTime":"2024-04-26T14:54:35Z","fileAccessRequest":true}},{"label":"e_trans_textq.ods","restricted":false,"version":1,"datasetVersionId":16255,"dataFile":{"id":233385,"persistentId":"","filename":"e_trans_textq.ods","contentType":"application/vnd.oasis.opendocument.spreadsheet","friendlyType":"OpenOffice Spreadsheet","filesize":134130,"embargo":{"dateAvailable":"2025-09-01"},"storageIdentifier":"surf://store:18f1ae03527-1b16e675d5cb","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"7243a35db7be6dc751fbeb145a4f5574b28171e1"},"tabularData":false,"creationDate":"2024-04-26","publicationDate":"2024-04-26","lastUpdateTime":"2024-04-26T14:54:35Z","fileAccessRequest":true}},{"description":"translation of Hindi responses","label":"e_trans_textq.xlsx","restricted":false,"version":1,"datasetVersionId":16255,"dataFile":{"id":220702,"persistentId":"","filename":"e_trans_textq.xlsx","contentType":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","friendlyType":"MS Excel Spreadsheet","filesize":122581,"description":"translation of Hindi responses","embargo":{"dateAvailable":"2025-09-01","reason":"To allow for PhD completion"},"storageIdentifier":"surf://store:18e1e594ea5-77361f18e3e2","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"9754a496a4588edb496455fd03bdc4e5efa43828"},"tabularData":false,"creationDate":"2024-03-08","publicationDate":"2024-04-26","lastUpdateTime":"2024-04-26T14:54:35Z","fileAccessRequest":true}},{"description":"Survey data from Indian respondents regarding environmental concern. In English.","label":"IE_anonymized_raw.sav","restricted":false,"version":2,"datasetVersionId":16255,"dataFile":{"id":220701,"persistentId":"","filename":"IE_anonymized_raw.sav","contentType":"application/x-spss-sav","friendlyType":"SPSS Binary","filesize":8105884,"description":"Survey data from Indian respondents regarding environmental concern. In English.","embargo":{"dateAvailable":"2025-09-01","reason":"To allow for PhD completion"},"storageIdentifier":"surf://store:18e1e52e4b8-8dbad5369c7d","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"57c474367cc9c1260c7d6ad4d41fac433b236153"},"tabularData":false,"creationDate":"2024-03-08","publicationDate":"2024-04-26","lastUpdateTime":"2024-04-26T14:54:35Z","fileAccessRequest":true}},{"description":"Survey data from Indian respondents regarding environmental concern. In Hindi.","label":"IH_anonymized_raw.sav","restricted":false,"version":2,"datasetVersionId":16255,"dataFile":{"id":220700,"persistentId":"","filename":"IH_anonymized_raw.sav","contentType":"application/x-spss-sav","friendlyType":"SPSS Binary","filesize":8123247,"description":"Survey data from Indian respondents regarding environmental concern. In Hindi.","embargo":{"dateAvailable":"2025-09-01","reason":"To allow for PhD completion"},"storageIdentifier":"surf://store:18e1e52def3-977560907cd5","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"83123ddee6382e02c3646d776f8460917fb907e9"},"tabularData":false,"creationDate":"2024-03-08","publicationDate":"2024-04-26","lastUpdateTime":"2024-04-26T14:54:35Z","fileAccessRequest":true}},{"description":"R Markdown file for cleaning research data from India and the US","label":"script_cleaning_data_ind_usa.Rmd","restricted":false,"version":1,"datasetVersionId":16255,"dataFile":{"id":229773,"persistentId":"","filename":"script_cleaning_data_ind_usa.Rmd","contentType":"text/x-r-notebook","friendlyType":"R Notebook","filesize":35066,"description":"R Markdown file for cleaning research data from India and the US","embargo":{"dateAvailable":"2025-09-01"},"storageIdentifier":"surf://store:18e7b020781-0d8b28f4e934","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"334345517e45fc8bf92628f79ef566975b97501c"},"tabularData":false,"creationDate":"2024-03-26","publicationDate":"2024-04-26","lastUpdateTime":"2024-04-26T14:54:35Z","fileAccessRequest":true}},{"description":"Survey data from US respondents regarding environmental concern.","label":"US_anonymized_raw.sav","restricted":false,"version":1,"datasetVersionId":16255,"dataFile":{"id":220536,"persistentId":"","filename":"US_anonymized_raw.sav","contentType":"application/x-spss-sav","friendlyType":"SPSS Binary","filesize":10337954,"description":"Survey data from US respondents regarding environmental concern.","embargo":{"dateAvailable":"2025-09-01","reason":"To allow for PhD completion"},"storageIdentifier":"surf://store:18dc70cd161-cfd5310cc530","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"b92c81d1085b52c9a46d5385846e0349165d024c"},"tabularData":false,"creationDate":"2024-02-20","publicationDate":"2024-04-26","lastUpdateTime":"2024-04-26T14:54:35Z","fileAccessRequest":true}}]}}}