General Information 1. Title of dataset Data and code from: Deeper habitats and cooler temperatures moderate a climate-driven disease in an essential marine habitat 2. Authors Olivia J. Graham, https://orcid.org/0000-0003-3834-264X, Cornell University Tiffany Stephens, https://orcid.org/0000-0001-6422-1003, University of Alaska Fairbanks Brendan Rappazzo, https://orcid.org/0000-0003-3417-2372, Cornell University Corinne Klohmann, https://orcid.org/0000-0003-4572-1226, Cornell University Sukanya Dayal, *no ORCID*, Cornell University Emily M. Adamczyk, https://orcid.org/0000-0002-3778-9434, University of British Columbia Angeleen Olson, https://orcid.org/0000-0001-8443-1868, Hakai Research Institute Margot Hessing-Lewis, *no ORCID*, Hakai Research Institute Morgan Eisenlord, https://orcid.org/0000-0002-9353-6642, Cornell University Bo Yang, *no ORCID*, San Jose State University Colleen Burge, https://orcid.org/0000-0002-9793-9801, University of California Davis/California Department of Fish and Wildlife Carla P. Gomes, https://orcid.org/0000-0002-4441-7225, Cornell University Drew Harvell, https://orcid.org/0000-0002-8905-9847, Cornell University 3. Abstract "These files contain data and scripts supporting all results reported in Graham et al. Deeper habitats and cooler temperatures moderate a climate-driven disease in an essential marine habitat. In Graham et al., we found: From cross-boundary surveys of 5,761 eelgrass leaves from Alaska to Washington and assisted with a machine-language algorithm, we measured outbreak conditions of seagrass wasting disease. Across summers 2017 and 2018, predicted disease prevalence was nearly 40% lower for subtidal than intertidal leaves; in both tidal zones, disease risk was lower for plants in cooler conditions. Even in the environmentally more stable subtidal meadows, we observed high disease levels, with half of the sites exceeding 50% prevalence. Models predicted reduced disease prevalence and severity under cooler conditions, confirming a strong interaction between disease and temperature. At both tidal zones, prevalence was lower in more dense eelgrass meadows, suggesting disease is suppressed in healthy, higher density meadows. These results underscore the value of subtidal eelgrass and meadows in cooler locations as refugia, indicate that cooling can suppress disease, and have implications for eelgrass conservation and management under future climate change scenarios." 4. Date of data collection 2017-06-28 to 2021-04-23 5. Geographic location of data collection "Prince of Wales, AK, USA; Calvert Island, Central BC, Canada; San Juan Islands, WA, USA; Puget Sound, WA, USA" 6. Funding sources "The following generous funds supported this work: Cornell University’s Atkinson Center for Sustainable Biodiversity Fund, Cornell Engaged Graduate Student Grant, Cornell Sigma Xi Research Grant, Andrew W. Mellon Student Research Grant, Dr. Carolyn Haugen, University of Washington Friday Harbor Labs Graduate Research Fellowship Endowment, Women Diver’s Hall of Fame Scholarship in Marine Conservation to OJG; NSF-REU and Susan Lynch support for the Cornell Ocean Research Apprenticeship for Lynch Scholars to CK and SD; NSF awards OCE-1829921 and Washington SeaGrant (grant #NA18OAR4170095) to CB, Carolyn Friedman, CDH; NSF CompSustNet: Expanding the Horizons of Computational Sustainability (grant #1522054) to CG; Tula Foundation to OJG, EA, AO, MHL." 7. Keywords "Seagrass, eelgrass, marine disease, seagrass wasting disease, climate change, climate " 8. Recommended citation: Olivia Graham, Tiffany Stephens, Brendan Rappazzo, Corinne Klohmann, Sukanya Dayal, Emily Adamczyk, Angeleen Olson, Margot Hessing-Lewis, Morgan Eisenlord, Bo Yang, Colleen Burge, Carla Gomes, Drew Harvell. (2022) Data and code from: Deeper habitats and cooler temperatures moderate a climate-driven disease in an essential marine habitat [dataset] Cornell University eCommons Repository. https://doi.org/10.7298/6ybh-w566 9. Licenses/restrictions placed on the data: shared under a Creative Commons Universal Public Domain Dedication (CC0 1.0); the data is openly available for re-use, modification and distribution; proper attribution to the original data creators is appreciated. 10. Links to publications that cite or use the data: [add when paper is published] Data & File Information File name site_coordinates.csv "Contains latitude and longitude coordinates for each site, needed for extracting MUR temperatures." Column name Description Region "Geographic region where we sampled eelgrass and extract sea surface temperatures. Regions include: Alaska (AK), British Columbia (BC), San Juan Islands (SJ), Puget Sound (PS)." Site Site name Lat Latitude in decimals Long Longitude in decimals ---- File name MUR_1718_MS_final.csv Contains daily MUR temperatures used to calculate temperature anomalies for each site. Column name Description time Time each MUR temperature metric was measured. One measurement per site per day. lat Latitude of each site in decimals lon Longitude of each site in decimals analysed_sst Daily measured sea surface temperature in degrees C. Meadow Combines Region and Site code. Region "Geographic region where we sampled eelgrass and extract sea surface temperatures. Regions include: Alaska (AK), British Columbia (BC), San Juan Islands (SJ), Puget Sound (PS)." Site "Site code: A, B, C, D, E. Corresponds to individual site names. " Date "Date for which temperature metrics were measured. Written as M/D/YYYY," Julian Julian date for which temperature metrics were measured. Tmean_ma "Long-term mean temperature for each site (11-day moving average, based on Julian Day). " T90_ma "Long-term mean 90th percentile temperatures for each site (11-day moving average, based on Julian Day)." DiffMean "Daily difference between the daily temperature and long-term mean temperature for each day from Jan 1, 2017 - Aug 31, 2018" DiffT90 "Daily difference between the daily temperature and long-term 90th percentile temperature for each day from Jan 1, 2017 - Aug 31, 2018" ---- File name murSWD1718.blade_prev1.csv Contains leaf-level disease prevalence for n=5761 leaves and MUR temperature anomaly metrics. This is the most comprehensive eelgrass disease and temperature anomaly dataset. Data for Prevalence Model 1. Column name Description Region "Geographic region where we sampled eelgrass and extract sea surface temperatures. Regions include: Alaska (AK), British Columbia (BC), San Juan Islands (SJ), Puget Sound (PS)." Meadow Combines Region and Site code. Site "Site code: A, B, C, D, E. Corresponds to individual site names. " TidalRegime Tidal zone in which eelgrass meadows were located. Either intertidal (inter) or subtidal (sub). Transect "Transect ID along which eelgrass leaves were collected. Transect codes were A, B, C." Year "Year for which temperature anomaly metrics were calculated and for which seagrass wasting disease was surveyed (2017, 2018)." Month "Month for which temperature anomaly metrics were calculated. Written as M/D/YYYY," Month_name "Month number for which temperature anomaly metrics were calculated, starting from 1 (January) to 12 (December)." BladeID Numeric identifier indicating individual eelgrass leaves collected on each transect. Prevalence "Indicator of if wasting disease lesions were present (0 = no disease, 1 = disease visible). " Severity Proportion of eelgrass leaf covered in disease (proportion ranging from 0-1). LesionArea Total leaf area covered in lesions (mm^2) for each eelgrass leaf. BladeArea Total leaf area (mm^2) measured for each eelgrass leaf. CDiffMean "For each month, the cumulative difference between daily and long-term (16-yr; 2002 - 2018) mean temperature" CDiffMeanHeat "For each month, the sum of positive differences between daily and long-term (16-yr; 2002 - 2018) mean temperature" CDiffMeanCold "For each month, the sum of negative differences between daily and long-term (16-yr; 2002 - 2018) mean temperature" CDiffT90 "For each month, the the cumulative difference between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature" CDiffT90Heat "For each month, the sum of positive differences between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature" CDiffT90Cold "For each month, the sum of negative differences between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature" ---- File name murSWD1718.blade_sev1.csv Contains leaf-level disease severity for n=3457 leaves (i.e. only those with a prevalence of 1) and MUR temperature anomaly metrics. Data for Severity Model 1. Column name Description Region "Geographic region where we sampled eelgrass and extract sea surface temperatures. Regions include: Alaska (AK), British Columbia (BC), San Juan Islands (SJ), Puget Sound (PS)." Meadow Combines Region and Site code. Site "Site code: A, B, C, D, E. Corresponds to individual site names. " TidalRegime Tidal zone in which eelgrass meadows were located. Either intertidal (inter) or subtidal (sub). Transect "Transect ID along which eelgrass leaves were collected. Transect codes were A, B, C." Year "Year for which temperature anomaly metrics were calculated and for which seagrass wasting disease was surveyed (2017, 2018)." Month "Month for which temperature anomaly metrics were calculated. Written as M/D/YYYY," Month_name "Month number for which temperature anomaly metrics were calculated, starting from 1 (January) to 12 (December)." BladeID Numeric identifier indicating individual eelgrass leaves collected on each transect. Severity Proportion of eelgrass leaf covered in disease (proportion ranging from 0-1). LesionArea Total leaf area covered in lesions (mm^2) for each eelgrass leaf. BladeArea Total leaf area (mm^2) measured for each eelgrass leaf. MeanBladeArea Transect-level mean blade area (mm^2) CDiffMean "For each month, the cumulative difference between daily and long-term (16-yr; 2002 - 2018) mean temperature (cumulative temperature anomaly). " CDiffMeanHeat "For each month, the sum of positive differences between daily and long-term (16-yr; 2002 - 2018) mean temperature (cumulative positive temperature anomaly)." CDiffMeanCold "For each month, the sum of negative differences between daily and long-term (16-yr; 2002 - 2018) mean temperature (cumulative negative temperature anomaly)." CDiffT90 "For each month, the the cumulative difference between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature (cumulative 90th percentile temperature anomaly)." CDiffT90Heat "For each month, the sum of positive differences between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature (cumulative 90th percentile positive temperature anomaly)" CDiffT90Cold "For each month, the sum of negative differences between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature (cumulative 90th percentile negative temperature anomaly). " sCDiffMeanCold "For each month, centered and scaled cumulative negative temperature anomaly." sCDiffMeanHeat "For each month, centered and scaled cumulative positive temperature anomaly." sCDiffMean "For each month, centered and scaled cumulative temperature anomaly." sCDiffT90Heat "For each month, centered and scaled cumulative 90th percentile positive temperature anomaly." sCDiffT90Cold "For each month, centered and scaled cumulative 90th percentile negative temperature anomaly." sBladeArea Centered and scaled area for each eelgrass leaf. ---- File name murSWD1718.blade_prev2.csv "Contains leaf-level disease prevalence for n=4090 leaves, MUR temperature anomaly metrics, and transect-level mean eelgrass shoot densities. This is a reduced dataset and includes data from: BC, SJ, PS. Data for Prevalence Model 2." Column name Description Region "Geographic region where we sampled eelgrass and extract sea surface temperatures. Reduced dataset regions include: British Columbia (BC), San Juan Islands (SJ), Puget Sound (PS)." Meadow Combines Region and Site code. Site "Site code: A, B, C, D, E. Corresponds to individual site names. " Year "Year for which temperature anomaly metrics were calculated and for which seagrass wasting disease was surveyed (2017, 2018)." TidalRegime Tidal zone in which eelgrass meadows were located. Either intertidal (inter) or subtidal (sub). Transect "Transect ID along which eelgrass leaves were collected. Transect codes were A, B, C." Month "Month for which temperature anomaly metrics were calculated. Written as M/D/YYYY," Month_name "Month number for which temperature anomaly metrics were calculated, starting from 1 (January) to 12 (December)." BladeID Numeric identifier indicating individual eelgrass leaves collected on each transect. BladeArea Total leaf area (mm^2) measured for each eelgrass leaf. Prevalence "Indicator of if wasting disease lesions were present (0 = no disease, 1 = disease visible). " Severity Proportion of eelgrass leaf covered in disease (proportion ranging from 0-1). MeanDensity Transect-level mean eelgrass shoot density (shoots/m^2) CDiffMean "For each month, the cumulative difference between daily and long-term (16-yr; 2002 - 2018) mean temperature (cumulative temperature anomaly). " CDiffMeanCold "For each month, the sum of negative differences between daily and long-term (16-yr; 2002 - 2018) mean temperature (cumulative negative temperature anomaly)." CDiffMeanHeat "For each month, the sum of positive differences between daily and long-term (16-yr; 2002 - 2018) mean temperature (cumulative positive temperature anomaly)." CDiffT90 "For each month, the the cumulative difference between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature (cumulative 90th percentile temperature anomaly)." CDiffT90Heat "For each month, the sum of positive differences between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature (cumulative 90th percentile positive temperature anomaly)" CDiffT90Cold "For each month, the sum of negative differences between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature (cumulative 90th percentile negative temperature anomaly). " sCDiffMeanCold "For each month, centered and scaled cumulative negative temperature anomaly." sCDiffMeanHeat "For each month, centered and scaled cumulative positive temperature anomaly." sCDiffMean "For each month, centered and scaled cumulative temperature anomaly." sCDiffT90Heat "For each month, centered and scaled cumulative 90th percentile positive temperature anomaly." sCDiffT90Cold "For each month, centered and scaled cumulative 90th percentile negative temperature anomaly." sBladeArea Centered and scaled area for each eelgrass leaf. sMeanDens Centered and scaled transect-level mean density. ---- File name murSWD1718.blade_sev2.csv Contains leaf-level disease severity for n=2549 leaves (i.e. only those with a prevalence of 1) and MUR temperature anomaly metrics. Data for Severity Model 2. Column name Description Region "Geographic region where we sampled eelgrass and extract sea surface temperatures. Reduced dataset regions include: British Columbia (BC), San Juan Islands (SJ), Puget Sound (PS)." Meadow Combines Region and Site code. Site "Site code: A, B, C, D, E. Corresponds to individual site names. " Year "Year for which temperature anomaly metrics were calculated and for which seagrass wasting disease was surveyed (2017, 2018)." TidalRegime Tidal zone in which eelgrass meadows were located. Either intertidal (inter) or subtidal (sub). Transect "Transect ID along which eelgrass leaves were collected. Transect codes were A, B, C." Month "Month for which temperature anomaly metrics were calculated. Written as M/D/YYYY," Month_name "Month number for which temperature anomaly metrics were calculated, starting from 1 (January) to 12 (December)." BladeID Numeric identifier indicating individual eelgrass leaves collected on each transect. BladeArea Total leaf area (mm^2) for each eelgrass leaf. Prevalence "Indicator of if wasting disease lesions were present (0 = no disease, 1 = disease visible). " Severity Proportion of eelgrass leaf covered in disease (proportion ranging from 0-1). MeanDensity Transect-level mean eelgrass shoot density (shoots/m^2) CDiffMean "For each month, the cumulative difference between daily and long-term (16-yr; 2002 - 2018) mean temperature (cumulative temperature anomaly). " CDiffMeanCold "For each month, the sum of negative differences between daily and long-term (16-yr; 2002 - 2018) mean temperature (cumulative negative temperature anomaly)." CDiffMeanHeat "For each month, the sum of positive differences between daily and long-term (16-yr; 2002 - 2018) mean temperature (cumulative positive temperature anomaly)." CDiffT90 "For each month, the the cumulative difference between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature (cumulative 90th percentile temperature anomaly)." CDiffT90Heat "For each month, the sum of positive differences between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature (cumulative 90th percentile positive temperature anomaly)" CDiffT90Cold "For each month, the sum of negative differences between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature (cumulative 90th percentile negative temperature anomaly). " sBladeArea Centered and scaled area for each eelgrass leaf. sCDiffMeanCold "For each month, centered and scaled cumulative negative temperature anomaly." sCDiffMeanHeat "For each month, centered and scaled cumulative positive temperature anomaly." sCDiffMean "For each month, centered and scaled cumulative temperature anomaly." sCDiffT90Heat "For each month, centered and scaled cumulative 90th percentile positive temperature anomaly." sCDiffT90Cold "For each month, centered and scaled cumulative 90th percentile negative temperature anomaly." sMeanDens Centered and scaled transect-level mean density. logitSeverity Logit transformed disease severity for each eelgrass leaf. ---- File name blade_disease_temp.csv Contains leaf-level disease prevalence for n=5761 leaves and site names. Data for plotting Fig. 1B. Column name Description Year "Year for which seagrass wasting disease was surveyed (2017, 2018)." Region "Geographic region where we sampled eelgrass. Regions include: Alaska (AK), British Columbia (BC), San Juan Islands (SJ), Puget Sound (PS)." SiteNames Individual site names. TidalRegime Tidal zone in which eelgrass meadows were located. Either intertidal (inter) or subtidal (sub). Transect "Transect ID along which eelgrass leaves were collected. Transect codes were A, B, C." BladeID Numeric identifier indicating individual eelgrass leaves collected on each transect. Prevalence "Indicator of if wasting disease lesions were present (0 = no disease, 1 = disease visible). " BladeArea Total leaf area (mm^2) measured for each eelgrass leaf. LesionArea Total lesion area (mm^2) measured for each eelgrass leaf. Severity Proportion of eelgrass leaf covered in disease (proportion ranging from 0-1). SeverityProp Percentage of eelgrass leaf covered in disease (percentage ranging from 0-100%). MeanBladeArea Transect means of leaf areas. ---- File name trans_SWD_MUR.d.csv "Contains transect-level mean prevalence and severity and temperature anomaly summed across March (i.e. not daily temps). Data for plotting Fig. S2, 2A, S5, S6." Column name Description Year "Year for which seagrass wasting disease was surveyed (2017, 2018)." Region "Geographic region where we sampled eelgrass. Regions include: Alaska (AK), British Columbia (BC), San Juan Islands (SJ), Puget Sound (PS)." Site "Site code: A, B, C, D, E. Corresponds to individual site names. " SiteName Individual site names. Meadow Combines Region and Site code. TidalRegime Tidal zone in which eelgrass meadows were located. Either intertidal (inter) or subtidal (sub). Transect "Transect ID along which eelgrass leaves were collected. Transect codes were A, B, C." N Number of eelgrass leaves in each transect. Prevalence Proportion of eelgrass leaves that were infected with disease (proportion ranging from 0-1). PrevPct Percentage of eelgrass leaves that were infected with disease (percentage ranging from 0-100%). Severity Proportion of eelgrass leaf covered in disease (proportion ranging from 0-1). Month_name "Month for which temperature anomaly metrics were calculated. Here, it’s only March." CDiffMean "For March, the cumulative difference between daily and long-term (16-yr; 2002 - 2018) mean temperature (cumulative temperature anomaly). " CDiffMeanHeat "For March, the sum of positive differences between daily and long-term (16-yr; 2002 - 2018) mean temperature (cumulative positive temperature anomaly)." CDiffMeanCold "For March, the sum of negative differences between daily and long-term (16-yr; 2002 - 2018) mean temperature (cumulative negative temperature anomaly)." CDiffT90 "For March, the the cumulative difference between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature (cumulative 90th percentile temperature anomaly)." CDiffT90Heat "For March, the sum of positive differences between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature (cumulative 90th percentile positive temperature anomaly)" CDiffT90Cold "For March, the sum of negative differences between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature (cumulative 90th percentile negative temperature anomaly). " sCDiffMeanCold "For March, centered and scaled cumulative negative temperature anomaly." MeanBladeArea Transect means of leaf areas. ---- File name march1718_dailytemps_allsites.b.csv "Contains daily MUR temperatures for each site in March 2017 and 2018, including cold temperature anomalies. Data for plotting Fig. S3." Column name Description Region "Geographic region where we sampled eelgrass. Regions include: Alaska (AK), British Columbia (BC), San Juan Islands (SJ), Puget Sound (PS)." Site "Site code: A, B, C, D, E. Corresponds to individual site names. " Meadow Combines Region and Site code. Day Date for which temperature metrics were measured. Numeric day corresponds to calendar day in March. Julian Julian date for which temperature metrics were measured. Year "Year for which temperature anomaly metrics were calculated and for which seagrass wasting disease was surveyed (2017, 2018)." analysed_sst Daily measured sea surface temperature in degrees C. Tmean_ma "Long-term mean temperature for each site (11-day moving average, based on Julian Day). " T90_ma "Long-term mean 90th percentile temperature for each site (11-day moving average, based on Julian Day). " DiffMean Daily difference between the daily temperature and long-term mean temperature for each day in March 2017 and March 2018. DiffT90 Daily difference between the daily temperature and long-term 90th percentile temperature for each day in March 2017 and March 2018. DiffMeanCold Daily negative difference between the daily temperature and long-term mean temperature for each day in March 2017 and March 2018. sDiffMeanCold Centered and scaled daily negative difference between the daily temperature and long-term mean temperature for each day in March 2017 and March 2018. ---- File name density_clean_allmeasurments.csv "Contains all density measurements (n=411) for sites in BC, SJ, and PS. No density data for AK. Data for plotting Fig. S7. " Column name Description Year "Year for which temperature anomaly metrics were calculated and for which seagrass wasting disease was surveyed (2017, 2018)." Region "Geographic region where we sampled eelgrass. Regions include: Alaska (AK), British Columbia (BC), San Juan Islands (SJ), Puget Sound (PS)." Meadow Combines Region and Site code. SiteName Individual site names. Site "Site code: A, B, C, D, E. Corresponds to individual site names. " TidalRegime Tidal zone in which eelgrass meadows were located. Either intertidal (inter) or subtidal (sub). Transect "Transect ID along which eelgrass leaves were collected. Transect codes were A, B, C." Density Number of eelgrass shoots counted (per m^2 quadrat) along each transect. ---- File name canopy.csv Contains all canopy height measurements for eelgrass shoots at all sites. Data for plotting Fig. S7. Column name Description Year "Year for which temperature anomaly metrics were calculated and for which seagrass wasting disease was surveyed (2017, 2018)." Region "Geographic region where we sampled eelgrass. Regions include: Alaska (AK), British Columbia (BC), San Juan Islands (SJ), Puget Sound (PS)." SiteName Individual site names. TidalRegime Tidal zone in which eelgrass meadows were located. Either intertidal (inter) or subtidal (sub). Transect "Transect ID along which eelgrass leaves were collected. Transect codes were A, B, C." CanopyHeight Length of the longest eelgrass leaf out of a randomly selected handful of eelgrass shoots along each transect. ---- File name trans_densMURSWD.csv "Contains transect-level mean prevalence, severity, temperatures (for March) and density for sites in BC, SJ, PS (no AK density data). Data for plotting Fig. S8." Column name Description Year "Year for which temperature anomaly metrics were calculated and for which seagrass wasting disease was surveyed (2017, 2018)." Region "Geographic region where we sampled eelgrass. Regions include: Alaska (AK), British Columbia (BC), San Juan Islands (SJ), Puget Sound (PS)." Meadow Combines Region and Site code. Site "Site code: A, B, C, D, E. Corresponds to individual site names. " SiteName Individual site names. Month "Month for which temperature anomaly metrics were calculated. Written as M/D/YYYY," Month_name Month for which temperature anomaly metrics were calculated. TidalRegime Tidal zone in which eelgrass meadows were located. Either intertidal (inter) or subtidal (sub). Transect "Transect ID along which eelgrass leaves were collected. Transect codes were A, B, C." MeanDensity Density averaged at the transect level (shoots/m^2). SE_Density Standard error for transect-level mean density. Prevalence Proportion of eelgrass leaves that were infected with disease (proportion ranging from 0-1). Severity Proportion of eelgrass leaf covered in disease (proportion ranging from 0-1). CDiffMean "For each month, the cumulative difference between daily and long-term (16-yr; 2002 - 2018) mean temperature (cumulative temperature anomaly). " CDiffMeanHeat "For March, the sum of positive differences between daily and long-term (16-yr; 2002 - 2018) mean temperature (cumulative positive temperature anomaly)." CDiffMeanCold "For March, the sum of negative differences between daily and long-term (16-yr; 2002 - 2018) mean temperature (cumulative negative temperature anomaly)." CDiffT90 "For March, the the cumulative difference between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature (cumulative 90th percentile temperature anomaly)." CDiffT90Heat "For March, the sum of positive differences between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature (cumulative 90th percentile positive temperature anomaly)" CDiffT90Cold "For March, the sum of negative differences between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature (cumulative 90th percentile negative temperature anomaly). " ---- File name MUR_CDiffMeanCold_March.csv Contains site-level temperature anomaly metrics for March 2017 and March 2018. Data for plotting Fig. 3A. Column name Description Region "Geographic region where we sampled eelgrass. Regions include: Alaska (AK), British Columbia (BC), San Juan Islands (SJ), Puget Sound (PS)." Meadow Combines Region and Site code. Month "Month for which temperature anomaly metrics were calculated. Written as M/D/YYYY," Month_name Month for which temperature anomaly metrics were calculated. Year "Year for which temperature anomaly metrics were calculated and for which seagrass wasting disease was surveyed (2017, 2018)." CDiffMean "For March, the cumulative difference between daily and long-term (16-yr; 2002 - 2018) mean temperature (cumulative temperature anomaly). " CDiffMeanHeat "For March, the sum of positive differences between daily and long-term (16-yr; 2002 - 2018) mean temperature (cumulative positive temperature anomaly)." CDiffMeanCold "For March, the sum of negative differences between daily and long-term (16-yr; 2002 - 2018) mean temperature (cumulative negative temperature anomaly)." CDiffT90 "For March, the the cumulative difference between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature (cumulative 90th percentile temperature anomaly)." CDiffT90Heat "For March, the sum of positive differences between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature (cumulative 90th percentile positive temperature anomaly)" CDiffT90Cold "For March, the sum of negative differences between daily and long-term (16-yr; 2002 - 2018) 90th percentile temperature (cumulative 90th percentile negative temperature anomaly). " sCDiffMeanCold "For March, centered and scaled cumulative negative temperature anomaly." ---- R FILES -- LIST AND DESCRIPTIONS 1. Import all MUR_for MS Code for downloading MUR temperature datasets and calculating temperature anomaly metrics for each site. 2. Prevalence Model 1 Code for making and visualizing Prevalence Model 1. 3. Severity Model 1 Code for making and visualizing Severity Model 1. 4. Prevalence Model 2_MS Code for making and visualizing Prevalence Model 2. 5. Severity Model 2_MS Code for making and visualizing Severity Model 2. 6. Figures_Lat SWD_MS Code for making figures.