Data
We are happy to share our data. For publications before 2018 this may not always be in an open repository, as it wasn't common practice back then, but please do not hesitate to contact us if you would like to access data for any of those papers.
[Publication numbers refer to papers listed on the Publication page]
[#63. Melet et al., 2024] TBD
[#62. Thieblemont et al., 2023] Tide gauge records from Ile du Salut are provided by datashom at http://dx.doi.org/https://doi.org/10.17183/REFMAR#127 (Ile Royale Anse Legoff) and http://dx.doi.org/https://doi.org/10.17183/REFMAR#749 (Ile Royale). Tide gauge record from Ilet La Mère are also provided by datashom at https://data.shom.fr/donnees/refmar/535. Tide predictions are not publicly available but can be purchased from SHOM at https://services.data.shom.fr/support/en/services/spm. Regional mean sea-level projections produced by SROCC can be downloaded at https://www.ipcc.ch/report/ar6/sr/srocc/download/SROCC_Ch04-SM_DataFiles.zip. CMIP5 sterodynamic projections are available at https://icdc.cen.uni-hamburg.de/thredds/catalog/ftpthredds/ar5_sea_level_rise/catalog.html. Historical CMIP5 climate simulations used to construct hindcast mean sea-level can be downloaded at https://esgf-node.llnl.gov/search/cmip5/ or can be obtained upon reasonable request to the corresponding author. High-end projections are available at https://sealevelrise.brgm.fr/. GNSS vertical land motion velocities are available at https://www.sonel.org/. Basins scale sea level historical reconstructions are provided by T. Frederikse at https://doi.org/https://doi.org/10.5281/zenodo.3862995 and GIA and GRD estimates can be downloaded at https://zenodo.org/record/3485577. The 2015 DEM of Cayenne is not publicly available but can be requested at https://geo.data.gouv.fr/fr/datasets/d6fe1545cb216b513e2c3e561f23561191540eb2. The 2015 DEM of Kourou can be accessed at https://www.geoguyane.fr/accueil.
[#61. Turner et al., 2023] Projections are available in an online repository at Turner(2023) (quantiles for all components and the total).
[#60. Kopp et al., 2023] The development version of FACTS is available under an MIT license in a Git version controlled repository at https://github.com/radical-collaboration/facts (last access: 14 December 2023). The latest release is archived on Zenodo at https://doi.org/10.5281/zenodo.7502824 (Kopp et al., 2023a). Documentation is included in the repository. Input data sets for the modules described in this paper are available on Zenodo at https://doi.org/10.5281/zenodo.7478191 (Kopp, 2022a) and https://doi.org/10.5281/zenodo.7478447 (Kopp, 2022b). Summary data sets describing the IPCC AR6 sea-level projections are available on Zenodo at https://doi.org/10.5281/zenodo.5914709 (Garner et al., 2021).
[#59. Le Cozannet et al., 2023] Data shown in figure 1 can be accessed through the NASA portal: https://sealevel.nasa.gov/ipcc-ar6-sea-level-projection-tool.
[#58. Slangen et al., 2023] All data that support the findings of this study are included within the article.
[#57. Kopp et al., 2023] All data that support the findings of this study are included within the article.
[#56. Malagon-Santos et al., 2023] Simulations from the MPI-GE can be obtained at https://esgf-data.dkrz.de/projects/mpi-ge/ (ESGF, 2023), CMIP5 data can be found at https://esgf-node.llnl.gov/search/cmip5/ (CMIP5, 2023).
[#55. & #54. IPCC SYR] See https://www.ipcc.ch/report/ar6/syr/.
[#53. Meli et al., 2023] Data requests to matteo.meli [at] unibo.it.
[#52. Hermans et al., 2023] The data used for this paper is available at https://doi.org/10.5281/zenodo.7505441. The GESLA3 data was obtained from https://gesla787883612.wordpress.com/downloads/.
[#51. Camargo et al., 2023] Sea-level trends and scripts used for the budget analysis are available at https://doi.org/10.5281/zenodo.7007330 and https://doi.org/10.5281/zenodo.7515755. Interactive maps of the sea-level budget are available at https://carocamargo.github.io/resources/regional-SLB-domains/
[#50. Slangen et al., 2023] All data used for the figures are publicly available from the following sources: IPCC AR5 sea-level projections: https://www.cen.uni-hamburg.de/en/icdc/data/ocean/ar5-slr.html; IPCC SROCC sea-level projections: https://ipcc-temp.s3.eu-central-1.amazonaws.com/SROCC_Ch04-SM_DataFiles.zip; IPCC AR6 sea-level projections: https://doi.org/10.5281/zenodo.5914709, with supplemental data sets documented at https://github.com/Rutgers-ESSP/IPCC-AR6-Sea-Level-Projections and IPCC AR6 sea-level observations: https://github.com/BrodiePearson/IPCC_AR6_Chapter9_Figures (Cross-Chapter Box 9.1 data).
[#49. Nienhuis et al., 2023] IPCC AR6 data: https://doi.org/10.5281/zenodo.5914709 and https://sealevel.nasa.gov/ipcc-ar6-sea-level-projection-tool. Sea-level change projections up to 2150. Global Surface Water Explorer: https://global-surface-water.appspot.com/#. Observations of surface water dynamics from 1985 to 2021. Global Delta Dataset: https://github.com/jhnienhuis/GlobalDeltaChange (https://doi.org/10.5281/zenodo.7044706). Observations and model projections from 1985 to 2300, including data to reproduce findings of this study.
[#48. Camargo et al., 2022] The data used in this paper are available at the 4TU database (https://doi.org/10.4121/16778794). The code for generating the figures is available at the GitHub repository https://github.com/carocamargo/barystaticSLC or https://doi.org/10.5281/zenodo.7093189.
[#47. Slangen et al., 2022] The data used in this study (original time series and processed data for figures) are available as Data Sets S1 and S2, and on Zenodo under doi:10.5281/zenodo.6340076.
[#46. Zhu et al., 2022] Data requests to zfyang [at] gdut.edu.cn.
[#45. Durand et al., 2022] All data that support the findings of this study are included within the article.
[#44. Hermans et al., 2022] The processed CMIP6 output and the output of the ROMS model experiments underlying our figures can be obtained from the 4TU.ResearchData repository: https://doi.org/10.4121/16831918. The code that we used to obtain, process, and analyze this data is available at Zenodo: https://doi.org/10.5281/zenodo.5654667.
[#43. Fox-Kemper et al., 2021] See the IPCC AR6 sea level Q&A for links and info.
[#42. Frederikse et al., 2021] The time series from Swan Inlet, the uniform GRD fingerprints from Figure 5, the steric estimates from Figure 7, and the scripts to compute all the results are available from https://doi.org/10.5281/zenodo.4542572.
[#41. Hermans et al., 2021] The CMIP6 data was extracted from ESGF. The authors thank Chris Jones for providing the CMIP6 GSAT time series. The CMIP6 data and Monte Carlo GMSL projections are available in the 4TU Data Repository: http://doi.org/10.4121/12958079.
[#40. Nicholls et al., 2021] All data that support the findings of this study are included within the article.
[#39. Bell et al., 2021] The model simulation outputs generated during and analysed during the current study are available from the corresponding author (bellar [at] bu.edu) on reasonable request. The income, expenditure, and migration data that support the findings of this study (table S1) are available from the Bangladesh Bureau of Statistics, but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. All other data generated or analysed during this study are included in this published article (and its supplementary information files). The data that support the findings of this study are openly available at the following URL/DOI: https://doi.org/10.5281/zenodo.3774666. All MIDAS inputs, code, and analysis scripts used in this study are available at 10.5281/zenodo.3774666.
[#38. Palmer et al., 2021] All data that support the findings of this study are included within the article (and any supplementary files).
[#37. Hermans et al., 2020] The ROMS input and output files are available at the 4TU.ResearchData repository (http://doi.org/10.4121/uuid:d9656541-ff40-45d0-8859-ac644b155dfb).
[#36. Camargo et al., 2020] The steric fields and trends computed in this research, as well as supporting scripts, are available at the 4TU.Research Data repository (https://doi.org/10.4121/uuid:b6e5e4bc-d382-4b51-837b-c5cde4980bf3). The temperature and salinity fields used are available at the hyperlinks of Table 1 and cited references.
[#35. Palmer et al., 2020] The data for the original sea-level projections included in this work are available through the U.K. Centre for Environmental Data Analysis (CEDA) Archive https://www.ceda.ac.uk/services/ceda-archive/.
[#34. Han et al., 2020] Data requests to Guoqi.Han [at] dfo-mpo.gc.ca.
[#33. Richter et al., 2020] All data that support the findings of this study are included within the article.
[#32. Jiang et al., 2020] The source code for the MARS and GETM model used in this study is available at: https://wwz.ifremer.fr/mars3d/ (last access: 2 March 2020) and https://getm.eu/ (last access: 2 March 2020). Research data are archived at 4TU.Research Data (https://data.4tu.nl/, last access: 2 March 2020) with the following DOI: https://doi.org/10.4121/uuid:c6753aa0-d501-4cbe-9476-a2833d47bfc6 (Jiang et al., 2019b).
[#31. Hermans et al., 2020] Data on 4TU: https://doi.org/10.4121/uuid:ef1c5cca-3900-49f3-9049-6719598a128d
[#30. Wrathall et al., 2019] All data that support the findings of this study are included within the article.
[#29. Hock et al., 2019] Data in supplement
[#28. Vermeersen et al., 2018] Not public, email corresponding author.
[#27. Perry et al., 2018] Data in Supplement
[#26. Le Cozannet et al., 2017] All data that support the findings of this study are included within the article.
[#25. De Winter et al., 2017] The dataset is available on Dataverse: https://dataverse.nl/dataset.xhtml?persistentId=hdl:10411/X8BTEB
[#24. Richter et al., 2017] All data that support the findings of this study are included within the article and supplement.
[#23. Meyssignac et al., 2017] Data requests to Benoit Meyssignac.
[#22. Slangen et al, 2017] Data on 4TU repository: https://data.4tu.nl/articles/dataset/Dataset_for_Evaluating_model_simulations_of_20th_century_sea-level_rise_Part_1_global_mean_sea-level_change_/12713297?file=24069356
[#21. Van de Lageweg and Slangen, 2017] Videos are available online at www.mdpi.com/2077-1312/5/2/24/s1. For data, please email corresponding author.
[#20. Wong et al., 2017] All BRICK model code is available at https://github.com/scrim-network/BRICK under the GNU general public open-source license. Large parameter files as well as model codes forked from the repository to reproduce this work (including the sea-level projections) may be found at https://download.scrim.psu.edu/Wong_etal_BRICK/.
[#19. Wahl et al., 2017] The data used in the present study is publically available from http://www.gesla.org/ and doi: 10.4121/uuid:aa4a6ad5-e92c-468e-841b-de07f7133786.
[#18. Slangen et al., 2017] TBD - email me for data
[#17. Goodwin et al., 2017] Data requests to p.a.goodwin [at] soton.ac.uk.
[#16. Jevrejeva et al., 2017] All data that support the findings of this study are included within the article and supplement.
[#15. Slangen et al., 2017] All data that support the findings of this study are included within the article and supplement.
[#14. Marcos et al., 2017] All data that support the findings of this study are included within the article and supplement.
[#13. Slangen and Lenaerts, 2016] TBD - email me for data
[#12. Slangen et al., 2016] TBD - email me for data
[#11. Carson et al., 2016] Data at Uni Hamburg data centre: https://www.cen.uni-hamburg.de/en/icdc/data/ocean/coastal-sea-level-changes.html
[#10. Slangen et al., 2015] TBD - email me for data
[#9. Han et al., 2015] Data requests to Guoqi.Han [at] dfo-mpo.gc.ca.
[#8. Lyu et al., 2014] Data requests to Xuebin.Zhang [at] csiro.au
[#7. Slangen et al., 2014] TBD - email me for data
[#6. Slangen et al., 2014] TBD - email me for data
[#5. Slangen et al., 2014] Data at Uni Hamburg data centre: https://www.cen.uni-hamburg.de/en/icdc/data/ocean/coastal-sea-level-changes.html To get a complete picture of regional sea-level change, you'll also need the data from the IPCC AR5 regional sea-level projections, which is available here: https://www.cen.uni-hamburg.de/en/icdc/data/ocean/ar5-slr.html#zugang
[#4. Han et al., 2014] Data requests to Guoqi.Han [at] dfo-mpo.gc.ca.
[#3. Slangen et al., 2012] TBD - email me for data
[#2. Slangen et al., 2011] TBD - email me for data
[#1. Slangen et al., 2009] TBD - email me for data
[Publication numbers refer to papers listed on the Publication page]
[#63. Melet et al., 2024] TBD
[#62. Thieblemont et al., 2023] Tide gauge records from Ile du Salut are provided by datashom at http://dx.doi.org/https://doi.org/10.17183/REFMAR#127 (Ile Royale Anse Legoff) and http://dx.doi.org/https://doi.org/10.17183/REFMAR#749 (Ile Royale). Tide gauge record from Ilet La Mère are also provided by datashom at https://data.shom.fr/donnees/refmar/535. Tide predictions are not publicly available but can be purchased from SHOM at https://services.data.shom.fr/support/en/services/spm. Regional mean sea-level projections produced by SROCC can be downloaded at https://www.ipcc.ch/report/ar6/sr/srocc/download/SROCC_Ch04-SM_DataFiles.zip. CMIP5 sterodynamic projections are available at https://icdc.cen.uni-hamburg.de/thredds/catalog/ftpthredds/ar5_sea_level_rise/catalog.html. Historical CMIP5 climate simulations used to construct hindcast mean sea-level can be downloaded at https://esgf-node.llnl.gov/search/cmip5/ or can be obtained upon reasonable request to the corresponding author. High-end projections are available at https://sealevelrise.brgm.fr/. GNSS vertical land motion velocities are available at https://www.sonel.org/. Basins scale sea level historical reconstructions are provided by T. Frederikse at https://doi.org/https://doi.org/10.5281/zenodo.3862995 and GIA and GRD estimates can be downloaded at https://zenodo.org/record/3485577. The 2015 DEM of Cayenne is not publicly available but can be requested at https://geo.data.gouv.fr/fr/datasets/d6fe1545cb216b513e2c3e561f23561191540eb2. The 2015 DEM of Kourou can be accessed at https://www.geoguyane.fr/accueil.
[#61. Turner et al., 2023] Projections are available in an online repository at Turner(2023) (quantiles for all components and the total).
[#60. Kopp et al., 2023] The development version of FACTS is available under an MIT license in a Git version controlled repository at https://github.com/radical-collaboration/facts (last access: 14 December 2023). The latest release is archived on Zenodo at https://doi.org/10.5281/zenodo.7502824 (Kopp et al., 2023a). Documentation is included in the repository. Input data sets for the modules described in this paper are available on Zenodo at https://doi.org/10.5281/zenodo.7478191 (Kopp, 2022a) and https://doi.org/10.5281/zenodo.7478447 (Kopp, 2022b). Summary data sets describing the IPCC AR6 sea-level projections are available on Zenodo at https://doi.org/10.5281/zenodo.5914709 (Garner et al., 2021).
[#59. Le Cozannet et al., 2023] Data shown in figure 1 can be accessed through the NASA portal: https://sealevel.nasa.gov/ipcc-ar6-sea-level-projection-tool.
[#58. Slangen et al., 2023] All data that support the findings of this study are included within the article.
[#57. Kopp et al., 2023] All data that support the findings of this study are included within the article.
[#56. Malagon-Santos et al., 2023] Simulations from the MPI-GE can be obtained at https://esgf-data.dkrz.de/projects/mpi-ge/ (ESGF, 2023), CMIP5 data can be found at https://esgf-node.llnl.gov/search/cmip5/ (CMIP5, 2023).
[#55. & #54. IPCC SYR] See https://www.ipcc.ch/report/ar6/syr/.
[#53. Meli et al., 2023] Data requests to matteo.meli [at] unibo.it.
[#52. Hermans et al., 2023] The data used for this paper is available at https://doi.org/10.5281/zenodo.7505441. The GESLA3 data was obtained from https://gesla787883612.wordpress.com/downloads/.
[#51. Camargo et al., 2023] Sea-level trends and scripts used for the budget analysis are available at https://doi.org/10.5281/zenodo.7007330 and https://doi.org/10.5281/zenodo.7515755. Interactive maps of the sea-level budget are available at https://carocamargo.github.io/resources/regional-SLB-domains/
[#50. Slangen et al., 2023] All data used for the figures are publicly available from the following sources: IPCC AR5 sea-level projections: https://www.cen.uni-hamburg.de/en/icdc/data/ocean/ar5-slr.html; IPCC SROCC sea-level projections: https://ipcc-temp.s3.eu-central-1.amazonaws.com/SROCC_Ch04-SM_DataFiles.zip; IPCC AR6 sea-level projections: https://doi.org/10.5281/zenodo.5914709, with supplemental data sets documented at https://github.com/Rutgers-ESSP/IPCC-AR6-Sea-Level-Projections and IPCC AR6 sea-level observations: https://github.com/BrodiePearson/IPCC_AR6_Chapter9_Figures (Cross-Chapter Box 9.1 data).
[#49. Nienhuis et al., 2023] IPCC AR6 data: https://doi.org/10.5281/zenodo.5914709 and https://sealevel.nasa.gov/ipcc-ar6-sea-level-projection-tool. Sea-level change projections up to 2150. Global Surface Water Explorer: https://global-surface-water.appspot.com/#. Observations of surface water dynamics from 1985 to 2021. Global Delta Dataset: https://github.com/jhnienhuis/GlobalDeltaChange (https://doi.org/10.5281/zenodo.7044706). Observations and model projections from 1985 to 2300, including data to reproduce findings of this study.
[#48. Camargo et al., 2022] The data used in this paper are available at the 4TU database (https://doi.org/10.4121/16778794). The code for generating the figures is available at the GitHub repository https://github.com/carocamargo/barystaticSLC or https://doi.org/10.5281/zenodo.7093189.
[#47. Slangen et al., 2022] The data used in this study (original time series and processed data for figures) are available as Data Sets S1 and S2, and on Zenodo under doi:10.5281/zenodo.6340076.
[#46. Zhu et al., 2022] Data requests to zfyang [at] gdut.edu.cn.
[#45. Durand et al., 2022] All data that support the findings of this study are included within the article.
[#44. Hermans et al., 2022] The processed CMIP6 output and the output of the ROMS model experiments underlying our figures can be obtained from the 4TU.ResearchData repository: https://doi.org/10.4121/16831918. The code that we used to obtain, process, and analyze this data is available at Zenodo: https://doi.org/10.5281/zenodo.5654667.
[#43. Fox-Kemper et al., 2021] See the IPCC AR6 sea level Q&A for links and info.
[#42. Frederikse et al., 2021] The time series from Swan Inlet, the uniform GRD fingerprints from Figure 5, the steric estimates from Figure 7, and the scripts to compute all the results are available from https://doi.org/10.5281/zenodo.4542572.
[#41. Hermans et al., 2021] The CMIP6 data was extracted from ESGF. The authors thank Chris Jones for providing the CMIP6 GSAT time series. The CMIP6 data and Monte Carlo GMSL projections are available in the 4TU Data Repository: http://doi.org/10.4121/12958079.
[#40. Nicholls et al., 2021] All data that support the findings of this study are included within the article.
[#39. Bell et al., 2021] The model simulation outputs generated during and analysed during the current study are available from the corresponding author (bellar [at] bu.edu) on reasonable request. The income, expenditure, and migration data that support the findings of this study (table S1) are available from the Bangladesh Bureau of Statistics, but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. All other data generated or analysed during this study are included in this published article (and its supplementary information files). The data that support the findings of this study are openly available at the following URL/DOI: https://doi.org/10.5281/zenodo.3774666. All MIDAS inputs, code, and analysis scripts used in this study are available at 10.5281/zenodo.3774666.
[#38. Palmer et al., 2021] All data that support the findings of this study are included within the article (and any supplementary files).
[#37. Hermans et al., 2020] The ROMS input and output files are available at the 4TU.ResearchData repository (http://doi.org/10.4121/uuid:d9656541-ff40-45d0-8859-ac644b155dfb).
[#36. Camargo et al., 2020] The steric fields and trends computed in this research, as well as supporting scripts, are available at the 4TU.Research Data repository (https://doi.org/10.4121/uuid:b6e5e4bc-d382-4b51-837b-c5cde4980bf3). The temperature and salinity fields used are available at the hyperlinks of Table 1 and cited references.
[#35. Palmer et al., 2020] The data for the original sea-level projections included in this work are available through the U.K. Centre for Environmental Data Analysis (CEDA) Archive https://www.ceda.ac.uk/services/ceda-archive/.
[#34. Han et al., 2020] Data requests to Guoqi.Han [at] dfo-mpo.gc.ca.
[#33. Richter et al., 2020] All data that support the findings of this study are included within the article.
[#32. Jiang et al., 2020] The source code for the MARS and GETM model used in this study is available at: https://wwz.ifremer.fr/mars3d/ (last access: 2 March 2020) and https://getm.eu/ (last access: 2 March 2020). Research data are archived at 4TU.Research Data (https://data.4tu.nl/, last access: 2 March 2020) with the following DOI: https://doi.org/10.4121/uuid:c6753aa0-d501-4cbe-9476-a2833d47bfc6 (Jiang et al., 2019b).
[#31. Hermans et al., 2020] Data on 4TU: https://doi.org/10.4121/uuid:ef1c5cca-3900-49f3-9049-6719598a128d
[#30. Wrathall et al., 2019] All data that support the findings of this study are included within the article.
[#29. Hock et al., 2019] Data in supplement
[#28. Vermeersen et al., 2018] Not public, email corresponding author.
[#27. Perry et al., 2018] Data in Supplement
[#26. Le Cozannet et al., 2017] All data that support the findings of this study are included within the article.
[#25. De Winter et al., 2017] The dataset is available on Dataverse: https://dataverse.nl/dataset.xhtml?persistentId=hdl:10411/X8BTEB
[#24. Richter et al., 2017] All data that support the findings of this study are included within the article and supplement.
[#23. Meyssignac et al., 2017] Data requests to Benoit Meyssignac.
[#22. Slangen et al, 2017] Data on 4TU repository: https://data.4tu.nl/articles/dataset/Dataset_for_Evaluating_model_simulations_of_20th_century_sea-level_rise_Part_1_global_mean_sea-level_change_/12713297?file=24069356
[#21. Van de Lageweg and Slangen, 2017] Videos are available online at www.mdpi.com/2077-1312/5/2/24/s1. For data, please email corresponding author.
[#20. Wong et al., 2017] All BRICK model code is available at https://github.com/scrim-network/BRICK under the GNU general public open-source license. Large parameter files as well as model codes forked from the repository to reproduce this work (including the sea-level projections) may be found at https://download.scrim.psu.edu/Wong_etal_BRICK/.
[#19. Wahl et al., 2017] The data used in the present study is publically available from http://www.gesla.org/ and doi: 10.4121/uuid:aa4a6ad5-e92c-468e-841b-de07f7133786.
[#18. Slangen et al., 2017] TBD - email me for data
[#17. Goodwin et al., 2017] Data requests to p.a.goodwin [at] soton.ac.uk.
[#16. Jevrejeva et al., 2017] All data that support the findings of this study are included within the article and supplement.
[#15. Slangen et al., 2017] All data that support the findings of this study are included within the article and supplement.
[#14. Marcos et al., 2017] All data that support the findings of this study are included within the article and supplement.
[#13. Slangen and Lenaerts, 2016] TBD - email me for data
[#12. Slangen et al., 2016] TBD - email me for data
[#11. Carson et al., 2016] Data at Uni Hamburg data centre: https://www.cen.uni-hamburg.de/en/icdc/data/ocean/coastal-sea-level-changes.html
[#10. Slangen et al., 2015] TBD - email me for data
[#9. Han et al., 2015] Data requests to Guoqi.Han [at] dfo-mpo.gc.ca.
[#8. Lyu et al., 2014] Data requests to Xuebin.Zhang [at] csiro.au
[#7. Slangen et al., 2014] TBD - email me for data
[#6. Slangen et al., 2014] TBD - email me for data
[#5. Slangen et al., 2014] Data at Uni Hamburg data centre: https://www.cen.uni-hamburg.de/en/icdc/data/ocean/coastal-sea-level-changes.html To get a complete picture of regional sea-level change, you'll also need the data from the IPCC AR5 regional sea-level projections, which is available here: https://www.cen.uni-hamburg.de/en/icdc/data/ocean/ar5-slr.html#zugang
[#4. Han et al., 2014] Data requests to Guoqi.Han [at] dfo-mpo.gc.ca.
[#3. Slangen et al., 2012] TBD - email me for data
[#2. Slangen et al., 2011] TBD - email me for data
[#1. Slangen et al., 2009] TBD - email me for data