Description: <title of this publication> Value labels if appropriate C. Name: <source> Description: <journal or other source where the publication was found> Value labels if appropriate D. Name: <year> Description: <year of publication> Value labels if appropriate E. Name: <DMDU_searchterm(s)> Description: <search terms used to identify this publication> Value labels: "adapt* pathway*", "robust decision making", "decision scaling" F. Name: <flood_searchterms(s)> Description: <search terms used to identify this publication> Value labels: flood, flood management, stormwater/storm water G. Name: <database> Description: <database(s) where this publication was found> GS = Google Scholar RAND = RAND WoS = Web of Science H. Name: <DOI> Description: <identifier for publications> Value labels if appropriate I. Name: <reason_for_exclusion> Description: <brief reasoning explaining why publication was not included in analysis> Value labels if appropriate ----------------------------------------- DATA DESCRIPTION FOR: [all_unique_casestudies.csv] ----------------------------------------- 1. Number of variables: 22 2. Number of cases/rows: 110 3. Missing data codes: 4. Variable List A. Name: <authors> Description: <list of authors of this publication> Value labels if appropriate B. Name: <title> Description: <title of this publication> Value labels if appropriate C. Name: <source> Description: <journal or other source where the publication was found> Value labels if appropriate D. Name: <year> Description: <year of publication> Value labels if appropriate E. Name: <DMDU_searchterm(s)> Description: <search terms used to identify this publication> Value labels: "adapt* pathway*", "robust decision making", "decision scaling" F. Name: <flood_searchterms(s)> Description: <search terms used to identify this publication> Value labels: flood, flood management, stormwater/storm water G. Name: <database> Description: <database(s) where this publication was found> GS = Google Scholar RAND = RAND WoS = Web of Science H. Name: <performance_metrics> Description: <How do researchers evaluate and differentiate between strategies?> p = single physical metric $ = single economic metric m = multiple metrics q = qualitative assessment I. Name: <cost_included_in_multiple_metrics> Description: <For those case studies using multiple metrics, was a monetary metric included as one of the multiple metrics?> Y = yes N = no J. Name: <number_of_multiple_metrics> Description: <For those case studies using multiple metrics, how many metrics were used?> Value labels if appropriate K. Name: <location> Description: <Where was this case study applied?> Value labels if appropriate L. Name: <continent> Description: <Corresponding continent for previous field> Value labels if appropriate M. Name: <infrastructure_type> Description: <What is the infrastructure being protected?> Value labels if appropriate N. Name: <infrastructure_adaptation> Description: <Are adaptation strategies technical or infrastructure based?> Y = yes N = no O. Name: <nonstructural_adaptation> Description: <Are adaptation strategies non-structural (e.g. retreat)?> Y = yes N = no P. Name: <structure> Description: <Summary of two previous fields> Value labels: structural, non-structural, both Q. Name: <structure_type> Description: <Examples of the structural infrastructure adaptation strategies> Value labels if appropriate R. Name: <nonstructure_type> Description: <Examples of the non-structural infrastructure adaptation strategies> Value labels if appropriate S. Name: <climatechangerepresentation> Description: <How is climate change represented?> Value labels: change factor, GEV, internally modeled, not explicitly modeled, percentage change, probability distribution, scenarios T. Name: <climatechangesource> Description: <Where/how do researchers access climate data to inform these representations?> Value labels: downscaled projections, existing literature/expert elicitation, global scenarios, local scenarios, other scenarios, probability U. Name: <GI> Description: <Is green infrastructure used as an adaptation strategy?> Y = yes N = no V. Name: <DOI> Description: <identifier for publications> Value labels if appropriate ----------------------------------------- DATA DESCRIPTION FOR: [all_unique_casestudies_GI.csv] ----------------------------------------- 1. Number of variables: 28 2. Number of cases/rows: 56 3. Missing data codes: 4. Variable List A. Name: <authors> Description: <list of authors of this publication> Value labels if appropriate B. Name: <title> Description: <title of this publication> Value labels if appropriate C. Name: <source> Description: <journal or other source where the publication was found> Value labels if appropriate D. Name: <year> Description: <year of publication> Value labels if appropriate E. Name: <DMDU_searchterm(s)> Description: <search terms used to identify this publication> Value labels: "adapt* pathway*", "robust decision making", "decision scaling" F. Name: <flood_searchterms(s)> Description: <search terms used to identify this publication> Value labels: flood, flood management, stormwater/storm water G. Name: <database> Description: <database(s) where this publication was found> GS = Google Scholar RAND = RAND WoS = Web of Science H. Name: <performance_metrics> Description: <How do researchers evaluate and differentiate between strategies?> p = single physical metric $ = single economic metric m = multiple metrics q = qualitative assessment I. Name: <cost_included_in_multiple_metrics> Description: <For those case studies using multiple metrics, was a monetary metric included as one of the multiple metrics?> Y = yes N = no J. Name: <number_of_multiple_metrics> Description: <For those case studies using multiple metrics, how many metrics were used?> Value labels if appropriate K. Name: <location> Description: <Where was this case study applied?> Value labels if appropriate L. Name: <continent> Description: <Corresponding continent for previous field> Value labels if appropriate M. Name: <infrastructure_type> Description: <What is the infrastructure being protected?> Value labels if appropriate N. Name: <infrastructure_adaptation> Description: <Are adaptation strategies technical or infrastructure based?> Y = yes N = no O. Name: <nonstructural_adaptation> Description: <Are adaptation strategies non-structural (e.g. retreat)?> Y = yes N = no P. Name: <structure> Description: <Summary of two previous fields> Value labels: structural, non-structural, both Q. Name: <structure_type> Description: <Examples of the structural infrastructure adaptation strategies> Value labels if appropriate R. Name: <nonstructure_type> Description: <Examples of the non-structural infrastructure adaptation strategies> Value labels if appropriate S. Name: <climatechangerepresentation> Description: <How is climate change represented?> Value labels: change factor, GEV, internally modeled, not explicitly modeled, percentage change, probability distribution, scenarios T. Name: <climatechangesource> Description: <Where/how do researchers access climate data to inform these representations?> Value labels: downscaled projections, existing literature/expert elicitation, global scenarios, local scenarios, other scenarios, probability U. Name: <GI> Description: <Is green infrastructure used as an adaptation strategy?> Y = yes N = no V. Name: <primary_GI_terms> Description: <Primary green infrastructure term used in this publication> Value labels: none, GI, LID, SUDS, NBS, WSUD, sponge city, BMP, IUWM, alternative techniques/compensatory techniques, source control, SCM, stormwater quality improvement devices W. Name: <secondary_GI_terms> Description: <Any other green infrastructure terms used in this publication> Value labels if appropriate X. Name: <GI_strategies> Description: <What type of green infrastructure is used as an adaptation measure?> Value labels if appropriate Y. Name: <GI_type> Description: <Is the green infrastructure application used in a coastal location or a riverine/inland location?> coast = coastal location inland = riverine/inland location Z. Name: <H&H_Model_Description> Description: <What type of hydraulic/hydrodynamic model is used to understand performance of the green infrastructure?> Value labels: 1D/1D-2D model, 2D/2D-3D model, dynamic simulation model, integrated model, water balance, other AA. Name: <DMDU_Metric_Description> Description: <What type of DMDU metric is used within the DMDU framework?> Value labels: descriptive statistics, optimization, scenario discovery, ROA, qualitative, none AB. Name: <DOI> Description: <identifier for publications> Value labels if appropriate ----------------------------------------- DATA DESCRIPTION FOR: [GI_strategies.csv] ----------------------------------------- 1. Number of variables: 25 2. Number of cases/rows: 56 3. Missing data codes: 4. Variable List A. Name: <authors> Description: <list of authors of this publication> Value labels if appropriate B. Name: <unspecified> Description: <Is green infrastructure strategy unspecified?> 0 = no 1 = yes C. Name: <beach nourishment> Description: <Is beach nourishment used as a green infrastructure strategy?> 0 = no 1 = yes D. Name: <living shorelines> Description: <Are living shorelines used as a green infrastructure strategy?> 0 = no 1 = yes E. Name: <dune restoration> Description: <Is dune restoration green infrastructure strategy?> 0 = no 1 = yes F. Name: <green roof> Description: <Is a green roof used as a green infrastructure strategy?> 0 = no 1 = yes G. Name: <porous pavement> Description: <Is porous pavement used as a green infrastructure strategy?> 0 = no 1 = yes H. Name: <deepening lake storage> Description: <Is deepening lake storage used as a green infrastructure strategy?> 0 = no 1 = yes I. Name: <green spaces/streets/parks> Description: <Are green spaces/streets/parks used as a green infrastructure strategy?> 0 = no 1 = yes J. Name: <meandering/realigning/restored urban waterways> Description: <Are meandering/realigning/restored urban waterways used as a green infrastructure strategy?> 0 = no 1 = yes K. Name: <rainwater/stormwater harvesting> Description: <Is rainwater/stormwater harvesting used as a green infrastructure strategy?> 0 = no 1 = yes L. Name: <detention tank/pond/underground storage> Description: <Is a detention tank/pond/underground storage used as a green infrastructure strategy?> 0 = no 1 = yes M. Name: <bioretention planters/cells> Description: <Are bioretention planters/cells used as a green infrastructure strategy?> 0 = no 1 = yes N. Name: <rain gardens> Description: <Are rain gardens used as a green infrastructure strategy?> 0 = no 1 = yes O. Name: <afforestation/reforestation> Description: <Is afforestation/reforestation used as a green infrastructure strategy?> 0 = no 1 = yes P. Name: <marshes/wetlands> Description: <Are marshes/wetlands used as a green infrastructure strategy?> 0 = no 1 = yes Q. Name: <vegetated swale> Description: <Is a vegetated swale used as a green infrastructure strategy?> 0 = no 1 = yes R. Name: <infiltration trench> Description: <Is an infiltration trench used as a green infrastructure strategy?> 0 = no 1 = yes S. Name: <bank stabilization/sediment diversion> Description: <Is bank stabilization/sediment diversion used as a green infrastructure strategy?> 0 = no 1 = yes T. Name: <barrier island restoration> Description: <Is barrier island restoration used as a green infrastructure strategy?> 0 = no 1 = yes U. Name: <oyster barrier reef> Description: <Is an oyster barrier reef used as a green infrastructure strategy?> 0 = no 1 = yes V. Name: <ridge restoration> Description: <Is ridge restoration used as a green infrastructure strategy?> 0 = no 1 = yes W. Name: <shoreline protection> Description: <Is shoreline protection used as a green infrastructure strategy?> 0 = no 1 = yes X. Name: <land reclamation/land use change/room for the river> Description: <Is land reclamation/land use change/room for the river used as a green infrastructure strategy?> 0 = no 1 = yes Y. Name: <mangroves> Description: <Are mangroves used as a green infrastructure strategy?> 0 = no 1 = yes -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Software-specific information: Name: Microsoft Excel Version: 2016 System Requirements: Windows or macOS Open Source? (Y/N): N (if available and applicable) Executable URL: N/A Source Repository URL: N/A Developer: N/A Product URL: N/A Software source components: N/A Additional Notes(such as, will this software not run on certain operating systems?): The data were initially entered into Microsoft Excel and can be input into Excel. However, for stability and access, the files have been saved in CSV format and can be viewed and analyzed across all operating systems, including Linux. 2. Equipment-specific information: <create a new entry for each qualifying piece of equipment> Manufacturer: Apple Inc. Model: MacBook Air (13-inch, 2017) (if applicable) Embedded Software / Firmware Name: N/A Embedded Software / Firmware Version: N/A Additional Notes: The data were entered, cleaned, and formatted on this computer. 3. Date of data collection (single date, range, approximate date) <YYYYMMDD>: 20200301 - 20201230 -------------------------------------------------- NOTES ON REPRODUCIBILITY -------------------------------------------------- Since the data was collected over a specific time period and some of the data was coded by researchers, it is likely that a different group of researchers would not recreate these data exactly. However, the descriptions above and methodology described in the accompanying manuscript will allow some reproduction of this literature search.

This README.txt file was generated on <20210723> by Marissa Webber ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset: Data Collected for A Review of Decision Making Under Deep Uncertainty Applications using Green Infrastructure for Flood Management 2. Author Information First Author Contact Information Name: Marissa Webber Institution: Carnegie Mellon University Address: 5000 Forbes Avenue, Pittsburgh, Pennsylvania, USA, 15213 Email: mwebber2@andrew.cmu.edu Phone Number: 412-268-2940 Corresponding Author Contact Information Name: Constantine Samaras Institution: Carnegie Mellon University Address: 5000 Forbes Avenue, Pittsburgh, Pennsylvania, USA, 15213 Email: csamaras@andrew.cmu.edu Phone Number: 412-268-1658 --------------------- DATA & FILE OVERVIEW --------------------- Directory of Files: A. Filename: all_unique_publications.csv Short description: This file contains data representing 201 unique publications that were identified from literature search at the intersection of three interconnected fields: flood management, decision making under deep uncertainty, and green infrastructure. B. Filename: all_unique_casestudies.csv Short description: This file contains data representing 110 unique case studies for assessment that were identified from the 201 unique publications in all_unique_publications. C. Filename: all_unique_casestudies_GI.csv Short description: This file contains data representing 56 unique case studies using green infrastructure as an adaptation strategy that were identified from the 110 unique case studies in all_unique_casestudies_GI.csv. D. Filename: GI_strategies.csv Short description: This file contains a matrix of green infrastructure strategies used in each case study identified in all_unique_casestudies_GI.csv. Additional Notes on File Relationships, Context, or Content: The data contained in these CSVs were collected from publications identified up to December 2020 from from the Web of Science and Google Scholar databases, supplemented by the database of RAND publications, using the following search parameters: flood OR flood management OR stormwater/storm water AND (“robust decision making” OR “adapt* pathway*” OR “decision scaling”). File Naming Convention: N/A ----------------------------------------- DATA DESCRIPTION FOR: [all_unique_publications.csv] ----------------------------------------- 1. Number of variables: 9 2. Number of cases/rows: 201 3. Missing data codes: 4. Variable List A. Name: Description: Value labels if appropriate B. Name: Description: <title of this publication> Value labels if appropriate C. Name: <source> Description: <journal or other source where the publication was found> Value labels if appropriate D. Name: <year> Description: <year of publication> Value labels if appropriate E. Name: <DMDU_searchterm(s)> Description: <search terms used to identify this publication> Value labels: "adapt* pathway*", "robust decision making", "decision scaling" F. Name: <flood_searchterms(s)> Description: <search terms used to identify this publication> Value labels: flood, flood management, stormwater/storm water G. Name: <database> Description: <database(s) where this publication was found> GS = Google Scholar RAND = RAND WoS = Web of Science H. Name: <DOI> Description: <identifier for publications> Value labels if appropriate I. Name: <reason_for_exclusion> Description: <brief reasoning explaining why publication was not included in analysis> Value labels if appropriate ----------------------------------------- DATA DESCRIPTION FOR: [all_unique_casestudies.csv] ----------------------------------------- 1. Number of variables: 22 2. Number of cases/rows: 110 3. Missing data codes: 4. Variable List A. Name: <authors> Description: <list of authors of this publication> Value labels if appropriate B. Name: <title> Description: <title of this publication> Value labels if appropriate C. Name: <source> Description: <journal or other source where the publication was found> Value labels if appropriate D. Name: <year> Description: <year of publication> Value labels if appropriate E. Name: <DMDU_searchterm(s)> Description: <search terms used to identify this publication> Value labels: "adapt* pathway*", "robust decision making", "decision scaling" F. Name: <flood_searchterms(s)> Description: <search terms used to identify this publication> Value labels: flood, flood management, stormwater/storm water G. Name: <database> Description: <database(s) where this publication was found> GS = Google Scholar RAND = RAND WoS = Web of Science H. Name: <performance_metrics> Description: <How do researchers evaluate and differentiate between strategies?> p = single physical metric $ = single economic metric m = multiple metrics q = qualitative assessment I. Name: <cost_included_in_multiple_metrics> Description: <For those case studies using multiple metrics, was a monetary metric included as one of the multiple metrics?> Y = yes N = no J. Name: <number_of_multiple_metrics> Description: <For those case studies using multiple metrics, how many metrics were used?> Value labels if appropriate K. Name: <location> Description: <Where was this case study applied?> Value labels if appropriate L. Name: <continent> Description: <Corresponding continent for previous field> Value labels if appropriate M. Name: <infrastructure_type> Description: <What is the infrastructure being protected?> Value labels if appropriate N. Name: <infrastructure_adaptation> Description: <Are adaptation strategies technical or infrastructure based?> Y = yes N = no O. Name: <nonstructural_adaptation> Description: <Are adaptation strategies non-structural (e.g. retreat)?> Y = yes N = no P. Name: <structure> Description: <Summary of two previous fields> Value labels: structural, non-structural, both Q. Name: <structure_type> Description: <Examples of the structural infrastructure adaptation strategies> Value labels if appropriate R. Name: <nonstructure_type> Description: <Examples of the non-structural infrastructure adaptation strategies> Value labels if appropriate S. Name: <climatechangerepresentation> Description: <How is climate change represented?> Value labels: change factor, GEV, internally modeled, not explicitly modeled, percentage change, probability distribution, scenarios T. Name: <climatechangesource> Description: <Where/how do researchers access climate data to inform these representations?> Value labels: downscaled projections, existing literature/expert elicitation, global scenarios, local scenarios, other scenarios, probability U. Name: <GI> Description: <Is green infrastructure used as an adaptation strategy?> Y = yes N = no V. Name: <DOI> Description: <identifier for publications> Value labels if appropriate ----------------------------------------- DATA DESCRIPTION FOR: [all_unique_casestudies_GI.csv] ----------------------------------------- 1. Number of variables: 28 2. Number of cases/rows: 56 3. Missing data codes: 4. Variable List A. Name: <authors> Description: <list of authors of this publication> Value labels if appropriate B. Name: <title> Description: <title of this publication> Value labels if appropriate C. Name: <source> Description: <journal or other source where the publication was found> Value labels if appropriate D. Name: <year> Description: <year of publication> Value labels if appropriate E. Name: <DMDU_searchterm(s)> Description: <search terms used to identify this publication> Value labels: "adapt* pathway*", "robust decision making", "decision scaling" F. Name: <flood_searchterms(s)> Description: <search terms used to identify this publication> Value labels: flood, flood management, stormwater/storm water G. Name: <database> Description: <database(s) where this publication was found> GS = Google Scholar RAND = RAND WoS = Web of Science H. Name: <performance_metrics> Description: <How do researchers evaluate and differentiate between strategies?> p = single physical metric $ = single economic metric m = multiple metrics q = qualitative assessment I. Name: <cost_included_in_multiple_metrics> Description: <For those case studies using multiple metrics, was a monetary metric included as one of the multiple metrics?> Y = yes N = no J. Name: <number_of_multiple_metrics> Description: <For those case studies using multiple metrics, how many metrics were used?> Value labels if appropriate K. Name: <location> Description: <Where was this case study applied?> Value labels if appropriate L. Name: <continent> Description: <Corresponding continent for previous field> Value labels if appropriate M. Name: <infrastructure_type> Description: <What is the infrastructure being protected?> Value labels if appropriate N. Name: <infrastructure_adaptation> Description: <Are adaptation strategies technical or infrastructure based?> Y = yes N = no O. Name: <nonstructural_adaptation> Description: <Are adaptation strategies non-structural (e.g. retreat)?> Y = yes N = no P. Name: <structure> Description: <Summary of two previous fields> Value labels: structural, non-structural, both Q. Name: <structure_type> Description: <Examples of the structural infrastructure adaptation strategies> Value labels if appropriate R. Name: <nonstructure_type> Description: <Examples of the non-structural infrastructure adaptation strategies> Value labels if appropriate S. Name: <climatechangerepresentation> Description: <How is climate change represented?> Value labels: change factor, GEV, internally modeled, not explicitly modeled, percentage change, probability distribution, scenarios T. Name: <climatechangesource> Description: <Where/how do researchers access climate data to inform these representations?> Value labels: downscaled projections, existing literature/expert elicitation, global scenarios, local scenarios, other scenarios, probability U. Name: <GI> Description: <Is green infrastructure used as an adaptation strategy?> Y = yes N = no V. Name: <primary_GI_terms> Description: <Primary green infrastructure term used in this publication> Value labels: none, GI, LID, SUDS, NBS, WSUD, sponge city, BMP, IUWM, alternative techniques/compensatory techniques, source control, SCM, stormwater quality improvement devices W. Name: <secondary_GI_terms> Description: <Any other green infrastructure terms used in this publication> Value labels if appropriate X. Name: <GI_strategies> Description: <What type of green infrastructure is used as an adaptation measure?> Value labels if appropriate Y. Name: <GI_type> Description: <Is the green infrastructure application used in a coastal location or a riverine/inland location?> coast = coastal location inland = riverine/inland location Z. Name: <H&H_Model_Description> Description: <What type of hydraulic/hydrodynamic model is used to understand performance of the green infrastructure?> Value labels: 1D/1D-2D model, 2D/2D-3D model, dynamic simulation model, integrated model, water balance, other AA. Name: <DMDU_Metric_Description> Description: <What type of DMDU metric is used within the DMDU framework?> Value labels: descriptive statistics, optimization, scenario discovery, ROA, qualitative, none AB. Name: <DOI> Description: <identifier for publications> Value labels if appropriate ----------------------------------------- DATA DESCRIPTION FOR: [GI_strategies.csv] ----------------------------------------- 1. Number of variables: 25 2. Number of cases/rows: 56 3. Missing data codes: 4. Variable List A. Name: <authors> Description: <list of authors of this publication> Value labels if appropriate B. Name: <unspecified> Description: <Is green infrastructure strategy unspecified?> 0 = no 1 = yes C. Name: <beach nourishment> Description: <Is beach nourishment used as a green infrastructure strategy?> 0 = no 1 = yes D. Name: <living shorelines> Description: <Are living shorelines used as a green infrastructure strategy?> 0 = no 1 = yes E. Name: <dune restoration> Description: <Is dune restoration green infrastructure strategy?> 0 = no 1 = yes F. Name: <green roof> Description: <Is a green roof used as a green infrastructure strategy?> 0 = no 1 = yes G. Name: <porous pavement> Description: <Is porous pavement used as a green infrastructure strategy?> 0 = no 1 = yes H. Name: <deepening lake storage> Description: <Is deepening lake storage used as a green infrastructure strategy?> 0 = no 1 = yes I. Name: <green spaces/streets/parks> Description: <Are green spaces/streets/parks used as a green infrastructure strategy?> 0 = no 1 = yes J. Name: <meandering/realigning/restored urban waterways> Description: <Are meandering/realigning/restored urban waterways used as a green infrastructure strategy?> 0 = no 1 = yes K. Name: <rainwater/stormwater harvesting> Description: <Is rainwater/stormwater harvesting used as a green infrastructure strategy?> 0 = no 1 = yes L. Name: <detention tank/pond/underground storage> Description: <Is a detention tank/pond/underground storage used as a green infrastructure strategy?> 0 = no 1 = yes M. Name: <bioretention planters/cells> Description: <Are bioretention planters/cells used as a green infrastructure strategy?> 0 = no 1 = yes N. Name: <rain gardens> Description: <Are rain gardens used as a green infrastructure strategy?> 0 = no 1 = yes O. Name: <afforestation/reforestation> Description: <Is afforestation/reforestation used as a green infrastructure strategy?> 0 = no 1 = yes P. Name: <marshes/wetlands> Description: <Are marshes/wetlands used as a green infrastructure strategy?> 0 = no 1 = yes Q. Name: <vegetated swale> Description: <Is a vegetated swale used as a green infrastructure strategy?> 0 = no 1 = yes R. Name: <infiltration trench> Description: <Is an infiltration trench used as a green infrastructure strategy?> 0 = no 1 = yes S. Name: <bank stabilization/sediment diversion> Description: <Is bank stabilization/sediment diversion used as a green infrastructure strategy?> 0 = no 1 = yes T. Name: <barrier island restoration> Description: <Is barrier island restoration used as a green infrastructure strategy?> 0 = no 1 = yes U. Name: <oyster barrier reef> Description: <Is an oyster barrier reef used as a green infrastructure strategy?> 0 = no 1 = yes V. Name: <ridge restoration> Description: <Is ridge restoration used as a green infrastructure strategy?> 0 = no 1 = yes W. Name: <shoreline protection> Description: <Is shoreline protection used as a green infrastructure strategy?> 0 = no 1 = yes X. Name: <land reclamation/land use change/room for the river> Description: <Is land reclamation/land use change/room for the river used as a green infrastructure strategy?> 0 = no 1 = yes Y. Name: <mangroves> Description: <Are mangroves used as a green infrastructure strategy?> 0 = no 1 = yes -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Software-specific information: Name: Microsoft Excel Version: 2016 System Requirements: Windows or macOS Open Source? (Y/N): N (if available and applicable) Executable URL: N/A Source Repository URL: N/A Developer: N/A Product URL: N/A Software source components: N/A Additional Notes(such as, will this software not run on certain operating systems?): The data were initially entered into Microsoft Excel and can be input into Excel. However, for stability and access, the files have been saved in CSV format and can be viewed and analyzed across all operating systems, including Linux. 2. Equipment-specific information: <create a new entry for each qualifying piece of equipment> Manufacturer: Apple Inc. Model: MacBook Air (13-inch, 2017) (if applicable) Embedded Software / Firmware Name: N/A Embedded Software / Firmware Version: N/A Additional Notes: The data were entered, cleaned, and formatted on this computer. 3. Date of data collection (single date, range, approximate date) <YYYYMMDD>: 20200301 - 20201230 -------------------------------------------------- NOTES ON REPRODUCIBILITY -------------------------------------------------- Since the data was collected over a specific time period and some of the data was coded by researchers, it is likely that a different group of researchers would not recreate these data exactly. However, the descriptions above and methodology described in the accompanying manuscript will allow some reproduction of this literature search.