# Galapagos Islands and Great Barrier Reef coral and geochemical data from 1729-2010 CE #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # Template Version 4.0 # Encoding: UTF-8 # NOTE: Please cite original publication, NOAA Landing Page URL, dataset and publication DOIs (where available), and date accessed when using downloaded data. # If there is no publication information, please cite investigator, study title, NOAA Landing Page URL, and date accessed. # # Description/Documentation lines begin with '#' followed by a space # Data lines have no '#' # # NOAA_Landing_Page: https://www.ncdc.noaa.gov/access/paleo-search/study/35193 # Landing_Page_Description: NOAA Landing Page of this file's parent study, which includes all study metadata. # # Study_Level_JSON_Metadata: https://www.ncei.noaa.gov/pub/data/metadata/published/paleo/json/noaa-coral-35193.json # Study_Level_JSON_Description: JSON metadata of this data file's parent study, which includes all study metadata. # # Data_Type: Corals and Sclerosponges # # Dataset_DOI: 10.25921/y68n-1x24 # # Science_Keywords: ocean acidification #--------------------------------------- # Resource_Links # # Data_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/coral/east_pacific/thompson2021/galapagosmodernrawdata-thompson2021.txt # Data_Download_Description: NOAA Template File; Galapagos Modern Raw Data # #--------------------------------------- # Contribution_Date # Date: 2022-01-06 #--------------------------------------- # File_Last_Modified_Date # Date: 2022-04-07 #--------------------------------------- # Title # Study_Name: Galapagos Islands and Great Barrier Reef coral and geochemical data from 1729-2010 CE #--------------------------------------- # Investigators # Investigators: Thompson, Diane M.; McCulloch, Malcolm; Cole, Julia E.; Reed, Emma V.; D'Olivo, Juan P.; Dyez, Kelsey; Lofverstrom, Marcus; Lough, Janice; Cantin, Neal; Tudhope, Alexander W.; Cheung, Anson, H., Vetter, Lael; Edwards, R. Lawrence #--------------------------------------- # Description_Notes_and_Keywords # Description: We leverage geochemical tracers of coral biomineralization–skeletal B/Ca ([CO3-]), d11B (pHcf), and U/Ca ([CO3-])–that constrain the calcifying fluid chemistry, including the aragonite saturation that governs calcification rate (DeCarlo et al., 2018, 2015). We combine these with paleo-environmental tracers that primarily reflect factors external to the coral calcification environment: Sr/Ca (Beck et al., 1992; Corrège et al., 2000), Li/Mg (Hathorne, Felis, et al., 2013; Montagna et al., 2014), and d18O (Weber & Woodhead, 1972; McConnaughey, 1989) (all primarily controlled by SST); Ba/Ca (upwelling, Lea et al., 1989; Shen et al., 1992); and d13C (upwelling, metabolic carbon / photosynthesis, respiration, and reproduction, G. T. Shen et al., 1992). These new recent (1976-2010) and fossil (1729-1733) Galápagos records (Wolf Island, 1o23.15’N, 91o49.90’W) significantly extend the multi-tracer data coverage prior to the industrial era, which allows us to assess the capacity of corals to buffer against changing environmental conditions. We compare our new Galápagos results with published data from the Great Barrier Reef (McCulloch et al., 2017) to contextualize results from the marginal Galápagos reef environment–a comparatively cold, low-saturation, and highly variable environment. # Provided Keywords: boron isotopes, trace elemental geochemistry, ocean acidification, heat stress, ENSO #--------------------------------------- # Publication # Authors: Thompson, Diane M.; McCulloch, Malcolm; Cole, Julia E.; Reed, Emma V.; D'Olivo, Juan P.; Dyez, Kelsey; Lofverstrom, Marcus; Lough, Janice; Cantin, Neal; Tudhope, Alexander W.; Cheung, Anson, H., Vetter, Lael; Edwards, R. Lawrence # Published_Date_or_Year: 2022-02-01 # Published_Title: Marginal reefs under stress: physiological limits render Galápagos corals susceptible to ocean acidification and thermal stress # Journal_Name: AGU Advances # Volume: 3 # Edition: # Issue: 1 # Pages: # Report_Number: e2021AV000509 # DOI: 10.1029/2021AV000509 # Online_Resource: # Full_Citation: # Abstract: Ocean acidification and thermal stress may undermine corals’ ability to calcify and support diverse reef communities, particularly in marginal environments. Coral calcification depends on aragonite supersaturation (Ω>>1) of the calcifying fluid (cf) from which the skeleton precipitates. Corals actively upregulate pHcf relative to seawater to buffer against changes in temperature and dissolved inorganic carbon (DICcf), which together control Ωcf. Here we assess the buffering capacity in modern and fossil corals from the Galápagos Islands that have been exposed to sub-optimal conditions, extreme thermal stress, and ocean acidification. We demonstrate a significant decline in pHcf and Ωcf since the pre-industrial era, trends which are exacerbated during extreme warm years. These results suggest that there are likely physiological limits to corals’ pH buffering capacity, and that these constraints render marginal reefs particularly susceptible to ocean acidification. #--------------------------------------- # Publication # Authors: McCulloch, M.T.; D’Olivo, J. P.; Falter, J.; Holcomb, M.; & Trotter, J. A. # Published_Date_or_Year: 2017 # Published_Title: Coral calcification in a changing world and the interactive dynamics of pH and DIC upregulation.  # Journal_Name: Nature Communications # Volume: 8 # Edition: # Issue: # Pages: # Report_Number: 15686 # DOI: 10.1038/ncomms15686 # Online_Resource: # Full_Citation: # Abstract: Coral calcification is dependent on the mutualistic partnership between endosymbiotic zooxanthellae and the coral host. Here, using newly developed geochemical proxies (d11B and B/Ca), we show that Porites corals from natural reef environments exhibit a close (r2 ~0.9) antithetic relationship between dissolved inorganic carbon (DIC) and pH of the corals’ calcifying fluid (cf). The highest DICcf (~ × 3.2 seawater) is found during summer, consistent with thermal/light enhancement of metabolically (zooxanthellae) derived carbon, while the highest pHcf (~8.5) occurs in winter during periods of low DICcf (~ × 2 seawater). These opposing changes in DICcf and pHcf are shown to maintain oversaturated but stable levels of carbonate saturation (Ocf ~ × 5 seawater), the key parameter controlling coral calcification. These findings are in marked contrast to artificial experiments and show that pHcf upregulation occurs largely independent of changes in seawater carbonate chemistry, and hence ocean acidification, but is highly vulnerable to thermally induced stress from global warming. #--------------------------------------- # Publication # Authors: Reed, E.V.; Thompson, D.M.; Cole, J.E.; Lough, J.M; Cantin, N.E.; Cheung, A.H., Tudhope, A.; Vetter, L., Jimenez, G.; and Edward, R.L. # Published_Date_or_Year: 2021-04-01 # Published_Title: Impacts of coral growth on geochemistry: Lessons from the Galapagos Islands # Journal_Name: Paleoceanography and Paleoclimatology # Volume: 36 # Edition: # Issue: 4 # Pages: # Report_Number: e2020PA004051 # DOI: 10.1029/2020PA004051 # Online_Resource: # Full_Citation: # Abstract: Coral geochemical climate reconstructions can extend our knowledge of global climate variability and trends over timescales longer than those of instrumental data. However, such reconstructions can be biased by coral growth and skeletal architecture, such as growth troughs, off-axis corallite orientation, and changing growth direction. This study quantifies the impact of skeletal architecture and growth on geochemistry using measurements of coral skeletal density, extension rate, and calcification rate, and uses these metrics to improve paleoclimate reconstructions. We present paired geochemistry-density records at Wolf Island, Galápagos, from three Porites lobata corals: two new paired density and geochemistry records from one fossil coral, and new density data from two previously published modern geochemistry records. We categorize each sampling transect used in this record by the quality of its orientation with respect to skeletal architecture. We observe relationships between geochemistry and density that are not detected using extension or calcification rate alone. These density-geochemistry relationships likely reflect both the response of coral growth to environmental conditions and the non-climatic impact of skeletal architecture on geochemistry in sub-optimal sampling transects. Correlations of density with Sr/Ca, Ba/Ca, and Mg/Ca are consistent with the Rayleigh fractionation model of trace element incorporation into coral skeletons. Removing transects with sub-optimal skeletal architecture increases mean reconstructed SST closer to instrumental mean SST, and lowers errors of reconstruction by up to 20%. These results demonstrate the usefulness of coral density data for assessing skeletal architecture and growth when generating coral paleoclimate records. #--------------------------------------- # Publication # Authors: Jimenez, G.; Cole, J.E.; Thompson, D.M.; and Tudhope, A.W. # Published_Date_or_Year: 2018-02-20 # Published_Title: Northern Galápagos Corals Reveal Twentieth Century Warming in the Eastern Tropical Pacific # Journal_Name: Geophysical Research Letters # Volume: 45 # Edition: # Issue: # Pages: 1981-1988 # Report_Number: # DOI: 10.1002/2017GL075323 # Online_Resource: # Full_Citation: # Abstract: Models and observations disagree regarding sea surface temperature (SST) trends in the eastern tropical Pacific. We present a new Sr/Ca-SST record that spans 1940–2010 from two Wolf Island corals (northern Gala´pagos). Trend analysis of the Wolf record shows significant warming on multiple timescales, which is also present in several other records and gridded instrumental products. Together, these data sets suggest that most of the eastern tropical Pacific has warmed over the twentieth century. In contrast, recent decades have been characterized by warming during boreal spring and summer (especially north of the equator), and subtropical cooling during boreal fall and winter (especially south of the equator). These SST trends are consistent with the effects of radiative forcing, mitigated by cooling due to wind forcing during boreal winter, as well as intensified upwelling and a strengthened Equatorial Undercurrent. #--------------------------------------- # Publication # Authors: Cheung, A.H.; Cole, J.E.; Thompson, D.M.; Vetter, L., Jimenez, G.; and Tudhope, A.W. # Published_Date_or_Year: 2021-12-01 # Published_Title: Fidelity of the Coral Sr/Ca Paleothermometer Following Heat Stress in the Northern Galápagos # Journal_Name: Paleoceanography and Paleoclimatology # Volume: 36 # Edition: # Issue: 12 # Pages: # Report_Number: e2021PA004323 # DOI: 10.1029/2021PA004323 # Online_Resource: # Full_Citation: # Abstract: Coral Sr/Ca records have been widely used to reconstruct and understand past sea surface temperature (SST) variability in the tropical Pacific. However, in the eastern equatorial Pacific, coral growth conditions are marginal, and strong El Niño events have led to high mortality, limiting opportunities for coral Sr/Ca-based SST reconstructions. In this study, we present two ~25-year Sr/Ca and Mg/Ca records measured on modern Porites lobata from Wolf and Darwin Islands in the northern Galápagos. In these records, we confirm the well-established relationship between Sr/Ca and SST and investigate the impact of heat stress on this relationship. We demonstrate a weakened relationship between Sr/Ca and SST after a major (Degree Heating Months 9°C-months) heat stress event during the 1997–1998 El Niño, with a larger response in the Wolf core. However, removing data that covers the 1997–1998 El Niño from calibration does not improve reconstruction statistics. Nevertheless, we find that excluding data after the 1997–1998 El Niño event from the calibration reduces the SST reconstruction error slightly. These results confirm that coral Sr/Ca is a reliable SST proxy in this region, although it can respond adversely to unusual heat stress. We suggest that noise in Sr/Ca-SST calibrations may be reduced by removing data immediately following large heat extremes. #--------------------------------------- # Funding_Agency # Funding_Agency_Name: NSF # Grant: 1401326/1829613 and 0957881 #--------------------------------------- # Funding_Agency # Funding_Agency_Name: UK Natural Environment Research Council # Grant: NE/H009957/1 #--------------------------------------- # Funding_Agency # Funding_Agency_Name: ARC Centre of Excellence # Grant: CE140100020 #--------------------------------------- # Funding_Agency # Funding_Agency_Name: Boston University # Grant: Startup funds #--------------------------------------- # Site_Information # Site_Name: Wolf Island # Location: Galápagos Islands # Northernmost_Latitude: 1.385833 # Southernmost_Latitude: 1.385833 # Easternmost_Longitude: -91.831667 # Westernmost_Longitude: -91.831667 # Elevation_m: #--------------------------------------- # Data_Collection # Collection_Name: GalapagosModernRawData-Thompson2021 # First_Year: # Last_Year: # Time_Unit: # Core_Length_m: # Parameter_Keywords: trace metals, oxygen isotopes # Notes: #--------------------------------------- # Chronology_Information # Chronology: #--------------------------------------- # Variables # PaST_Thesaurus_Download_Resource: https://www.ncdc.noaa.gov/paleo/skos/past-thesaurus.rdf # PaST_Thesaurus_Download_Description: Paleoenvironmental Standard Terms (PaST) Thesaurus terms, definitions, and relationships in SKOS format. # # Data variables follow that are preceded by "##" in columns one and two. # Variables list, one per line, shortname-tab-var components: what, material, error, units, seasonality, data type, detail, method, C or N for Character or Numeric data) # ## Core_depth depth,,,millimeter,,corals and sclerosponges; climate reconstructions,,,N,core depth ## Lab_ID sample identification,,,,,corals and sclerosponges,,,C,Lab ID ## d13C delta 13C,Porites lobata,,per mil,,corals and sclerosponges,averaged,dual-inlet isotope ratio mass spectrometry,N, ## d18O delta 18O,Porites lobata,,per mil,,corals and sclerosponges,averaged,dual-inlet isotope ratio mass spectrometry,N, ## Sample_Name sample identification,,,,,corals and sclerosponges,,,C,Sample Name ## Latitude latitude,,,degree north,,corals and sclerosponges,,,N, ## Longitude longitude,,,degree east,,corals and sclerosponges,,,N, ## Depth collection water depth,,,meter,,corals and sclerosponges,,,N, ## d11B delta 11B,Porites lobata,,per mil SRM951,,corals and sclerosponges,raw,inductively-coupled plasma mass spectrometry,N,error reported as 2 sigma of JCP-1 standard; error detail: 0.22 ## pHcf pH,calcifying fluid;delta 11B,,dimensionless,,corals and sclerosponges; climate reconstructions,corrected,,N, ## pHcf_press_corr pH,calcifying fluid;delta 11B,,dimensionless,,corals and sclerosponges; climate reconstructions,corrected,,N,pressure corrected ## DICcf dissolved inorganic carbon,calcifying fluid,,micromole per kilogram,,corals and sclerosponges; climate reconstructions,corrected,,N, ## Wcf aragonite saturation state,calcifying fluid,,dimensionless,,corals and sclerosponges; climate reconstructions,corrected,,N, ## [Ca] calcium,Porites lobata,,parts per million,,corals and sclerosponges,raw,inductively-coupled plasma mass spectrometry,N, ## Mg/Ca magnesium/calcium,Porites lobata,,millimole per mole,,corals and sclerosponges,raw,inductively-coupled plasma mass spectrometry,N,error reported as 1 sigma of JCP-1 standard; error detail: 0.024 ## Sr/Ca strontium/calcium,Porites lobata,,millimole per mole,,corals and sclerosponges,raw,inductively-coupled plasma mass spectrometry,N,error reported as 1 sigma of JCP-1 standard; error detail: 0.0194 ## Ba/Ca barium/calcium,Porites lobata,,micromole per mole,,corals and sclerosponges,raw,inductively-coupled plasma mass spectrometry,N,error reported as 1 sigma of JCP-1 standard; error detail: 0.242 ## U/Ca uranium/calcium,Porites lobata,,micromole per mole,,corals and sclerosponges,raw,inductively-coupled plasma mass spectrometry,N,error reported as 1 sigma of JCP-1 standard; error detail: 0.0092 ## Li/Mg lithium/magnesium,Porites lobata,,millimole per mole,,corals and sclerosponges,raw,inductively-coupled plasma mass spectrometry,N,error reported as 1 sigma of JCP-1 standard; error detail: 0.0325 ## B/Mg boron/magnesium,Porites lobata,,millimole per mole,,corals and sclerosponges,raw,inductively-coupled plasma mass spectrometry,N,error reported as 1 sigma of JCP-1 standard; error detail: 2.74 ## B/Ca boron/calcium,Porites lobata,,micromole per mole,,corals and sclerosponges,raw,inductively-coupled plasma mass spectrometry,N,error reported as 1 sigma of JCP-1 standard; error detail: 11.79 ## U/Sr uranium/strontium,Porites lobata,,millimole per mole,,corals and sclerosponges,raw,inductively-coupled plasma mass spectrometry,N, Calculated from U/Ca and Sr/Ca; error calculated from propagating uncertainty of U/Ca and Sr/Ca ## Sr/Ca-SST sea surface temperature,strontium/calcium,,degree Celsius,,corals and sclerosponges; climate reconstructions,,,N,Sr/Ca-SST calculated using the Jimenez et al. 2018 composite slope (from cores WLF10-10 and WLF10-3) ## Li/Mg-SST sea surface temperature,lithium/magnesium,,degree Celsius,,corals and sclerosponges; climate reconstructions,,,N, #------------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: NaN Core_Depth Lab_ID d13C d18O Sample_Name Latitude Longitude Depth d11B pHcf pHcf_press_corr DICcf Wcf [Ca] Mg/Ca Sr/Ca Ba/Ca U/Ca Li/Mg B/Mg B/Ca U/Sr Sr/Ca-SST Li/Mg-SST 1 L544 -3.38634 -5.22465 GW10-10-A-B1 1.385783 -91.831667 12 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 3 L545 -3.84794 -4.84659 GW10-10-A-B3 1.385783 -91.831667 12 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5 L546 -4.18337 -4.65756 GW10-10-A-B5 1.385783 -91.831667 12 23.50032 8.490191093 8.489628633 4060.581 14.8284 11.45554 4.648814 9.148177 32.92511 0.976022 1.372593 112.9256 522.3319 8.064109 26.48813 27.99077 7 L547 -3.75282 -4.8476 GW10-10-A-B7 1.385783 -91.831667 12 23.83933 8.49873261 8.498172424 4041.932 15.5571 11.23936 4.681275 9.095249 13.02375 1.042274 1.360215 110.6588 515.7798 7.937596 27.41668 28.17564 9 L548 -4.07433 -4.85156 GW10-10-A-B9 1.385783 -91.831667 12 22.80465 8.426967033 8.426407457 4276.614 14.66522 11.0822 4.744801 9.078745 5.355241 1.072941 1.375722 104.3568 494.6018 7.88703 27.70623 27.9443 11 L549 -3.75882 -4.90219 GW10-10-A-B11 1.385783 -91.831667 12 22.90166 8.431404274 8.430845091 4385.126 15.24531 10.88446 4.735417 9.070853 4.704694 1.081781 1.362513 101.9592 480.7972 7.869319 27.84468 28.14119 13 L550 -3.7438 -4.85771 GW10-10-A-B13 1.385783 -91.831667 12 23.45577 8.497700239 8.497135792 4205.606 15.11595 11.16841 4.543968 9.189072 5.025051 1.134041 1.420227 112.2344 509.0585 7.929493 25.77066 27.29453 15 L551 -3.44842 -4.85064 GW10-10-A-B15 1.385783 -91.831667 12 23.38944 8.474274613 8.473713635 4248.056 15.4566 11.07237 4.641769 9.113848 4.344075 1.092628 1.363607 106.8755 496.7213 7.900266 27.09038 28.12481 17 L552 -3.49949 -4.81425 GW10-10-A-B17 1.385783 -91.831667 12 23.26944 8.47893576 8.478372503 4347.338 15.39576 11.2018 4.591246 9.163116 4.251476 1.113375 1.403916 107.2939 491.4856 7.92649 26.22604 27.53028 19 L553 -3.77985 -4.86984 GW10-10-A-B19 1.385783 -91.831667 12 24.76481 NaN 8.582670045 NaN 16.12525 11.11799 4.410058 9.195052 4.557673 1.148057 1.475575 121.3777 537.2888 7.919906 25.66575 26.51432 21 L554 -4.1344 -4.97993 GW10-10-A-B21 1.385783 -91.831667 12 23.77253 8.504883603 8.504321386 4149.805 15.67971 11.10282 4.52657 9.136591 4.557944 1.11823 1.41646 111.581 507.2745 7.894573 26.69138 27.34874 23 L555 -3.83993 -4.90826 GW10-10-A-B23 1.385783 -91.831667 12 23.83719 8.502000081 8.50143878 4076.435 15.62999 11.04838 4.491036 9.108726 3.451737 1.109923 1.456095 113.1264 512.8423 7.875934 27.18024 26.78552 25 L556 -3.81189 -4.83143 GW10-10-A-B25 1.385783 -91.831667 12 23.87401 8.498232429 8.497672424 4102.84 15.89901 11.08449 4.535007 9.08441 3.13861 1.091275 1.410938 111.6563 506.6735 7.872331 27.60685 27.42845 27 L557 -3.48263 -5.11942 GW10-10-A-B27 1.385783 -91.831667 12 23.81282 8.47784921 8.477292224 4155.983 16.27943 10.86637 4.613922 9.01903 3.069944 1.069405 1.350742 105.909 494.1367 7.831242 28.75387 28.31827 29 L558 -3.78786 -5.09425 GW10-10-A-B29 1.385783 -91.831667 12 23.20728 8.4374738 8.436917157 4365.419 15.97582 10.80158 4.748835 9.014948 3.143235 1.061474 1.308182 98.81225 474.9053 7.835969 28.82548 28.97165 31 L559 -3.82591 -4.96284 GW10-10-A-B31 1.385783 -91.831667 12 22.67887 8.414240306 8.41368157 4432.652 15.04373 11.07412 5.262431 9.061416 5.253224 1.116362 1.35073 99.71483 476.3346 7.821472 28.01025 28.31844 33 L560 -3.98812 -5.22364 GW10-10-A-B33 1.385783 -91.831667 12 22.86401 8.420334526 8.419777096 4653.586 16.25826 11.4692 4.881184 9.03674 3.652536 1.056497 1.273929 92.75922 450.0169 7.863289 28.44315 29.51313 35 L561 -4.11428 -5.03765 GW10-10-A-B35 1.385783 -91.831667 12 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 37 L562 -4.2084 -4.77583 GW10-10-A-B37 1.385783 -91.831667 12 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 39 L563 NaN NaN GW10-10-A-B39 1.385783 -91.831667 12 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 41 L564 -4.55891 -4.70499 GW10-10-A-B41 1.385783 -91.831667 12 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 43 L565 -4.26356 -4.46341 GW10-10-A-B43 1.385783 -91.831667 12 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 45 L566 -4.08825 -4.39069 GW10-10-A-B45 1.385783 -91.831667 12 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 47 L567 -3.8781 -4.41792 GW10-10-A-B47 1.385783 -91.831667 12 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 49 L568 -4.09626 -4.36138 GW10-10-A-B49 1.385783 -91.831667 12 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 51 L569 -3.69975 -4.09856 GW10-10-A-B51 1.385783 -91.831667 12 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 53 L570 NaN NaN GW10-10-A-B53 1.385783 -91.831667 12 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 55 L571 -3.68573 -5.08111 GW10-10-A-B55 1.385783 -91.831667 12 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 57 L572 NaN NaN GW10-10-A-B57 1.385783 -91.831667 12 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 59 L573 -3.8199 -4.95374 GW10-10-A-B59 1.385783 -91.831667 12 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 61 L574 -3.82304 -4.84448 GW10-10-A-B61 1.385783 -91.831667 12 23.47192 8.48066418 8.480103923 4226.752 15.55256 11.25777 5.229789 9.102559 2.254916 1.068485 1.304646 93.8327 490.4408 7.915794 27.28843 29.02688 63 L575 -4.01026 -4.76362 GW10-10-A-B63 1.385783 -91.831667 12 23.45104 8.479238713 8.478678276 4281.094 15.70526 11.13201 5.234788 9.106036 2.352995 1.098154 1.314338 92.40747 486.4014 7.886316 27.22744 28.87584 65 L576 -3.51067 -4.8647 GW10-10-A-B65 1.385783 -91.831667 12 23.18438 8.453904085 8.453344839 4352.851 15.60625 11.20215 5.224198 9.077586 2.467027 1.08514 1.312279 91.63617 479.0476 7.872321 27.72656 28.90783 67 L577 -3.93417 -4.43207 GW10-10-A-B67 1.385783 -91.831667 12 23.14401 8.488075349 8.487509795 4384.71 15.05228 10.85503 5.055129 9.221359 2.708168 1.152144 1.373859 96.26868 490.0484 7.941673 25.20422 27.97195 69 L578 -3.85708 -4.35323 GW10-10-A-B69 1.385783 -91.831667 12 22.71493 8.446704784 8.446141094 4234.823 13.99213 11.06674 5.087494 9.173717 2.871389 1.149655 1.40164 99.43431 507.6485 7.896795 26.04005 27.5634 71 L579 -3.61078 -4.74644 GW10-10-A-B71 1.385783 -91.831667 12 23.1157 8.490761864 8.490194948 4399.478 14.95314 11.0026 4.981663 9.253118 2.974145 1.169363 1.376277 100.0249 498.3824 7.954306 24.64705 27.93606 73 L580 -3.47362 -4.87582 GW10-10-A-B73 1.385783 -91.831667 12 23.77885 8.505788309 8.5052267 4135.749 15.64772 10.98844 4.794791 9.132129 2.391765 1.133534 1.334694 104.9294 505.4864 7.873112 26.76967 28.56218 75 L581 -4.17545 -4.95466 GW10-10-A-B75 1.385783 -91.831667 12 23.38232 8.47139173 8.470831865 4246.258 15.51693 11.2849 4.819469 9.090423 1.981097 1.098956 1.333716 101.3809 488.4021 7.869813 27.50135 28.57714 77 L582 -3.87009 -4.69185 GW10-10-A-B77 1.385783 -91.831667 12 23.48178 8.502427722 8.501863705 4118.696 14.85944 11.15359 4.646475 9.17596 2.092008 1.162455 1.439909 108.9894 506.3137 7.884821 26.0007 27.01365 79 L583 -3.75395 -4.64131 GW10-10-A-B79 1.385783 -91.831667 12 23.58185 8.503815313 8.503251698 3950.248 14.47979 11.01061 4.697881 9.162415 2.228534 1.148914 1.465503 112.4051 528.598 7.886316 26.23834 26.65409 81 L584 -4.14542 -4.62716 GW10-10-A-B81 1.385783 -91.831667 12 23.47557 8.499069882 8.498505866 4047.794 14.61591 11.23524 4.743476 9.174357 2.280697 1.155621 1.450219 109.4382 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25.81714 211 L905 -2.58757 -4.39771 GW10-3-A-B211 1.385783 -91.831667 10 23.17421 8.520664437 8.520188176 4234.433 14.15452 11.43017 4.521197 9.339824 2.647043 1.264278 1.511062 115.3159 519.852 7.93559 23.12589 26.02932 213 L906 -2.345 -4.40485 GW10-3-A-B213 1.385783 -91.831667 10 23.68636 8.551993849 8.551518123 4059.889 14.43701 11.73962 4.472361 9.330729 2.390516 1.262279 1.477199 119.3409 534.805 7.928715 23.28546 26.49186 215 L907 -2.41008 -4.92746 GW10-3-A-B215 1.385783 -91.831667 10 24.46875 8.552935549 8.552467394 3954.113 16.1295 11.47159 4.55077 9.135784 2.524467 1.143954 1.340152 114.2508 518.0414 7.865194 26.70555 28.4789 217 L908 -3.22614 -5.14176 GW10-3-A-B217 1.385783 -91.831667 10 24.45329 8.531803646 8.531338465 3984.395 16.57917 11.98018 4.578542 9.054206 2.710549 1.107197 1.295229 110.1022 505.2854 7.824443 28.13673 29.17473 219 L909 -3.21031 -4.87683 GW10-3-A-B219 1.385783 -91.831667 10 23.81411 8.506464055 8.505996804 3952.805 15.09316 11.65645 4.555705 9.107911 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