Data and code for Global change drives modern plankton communities away from pre-industrial state
Data and R code for "Global change drives modern plankton communities away from pre-industrial state" by Lukas Jonkers, Helmut Hillebrandt and Michal Kucera (https://doi.org/10.1038/s41586-019-1230-3). Compare planktonic foraminifera species assemblages from sediments and sediment traps. S...
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ftdatacite:10.5281/zenodo.2638013 2023-05-15T18:00:35+02:00 Data and code for Global change drives modern plankton communities away from pre-industrial state Jonkers, Lukas Hillebrandt, Helmut Kucera, Michal 2019 https://dx.doi.org/10.5281/zenodo.2638013 https://zenodo.org/record/2638013 en eng Zenodo https://dx.doi.org/10.5281/zenodo.2638012 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY planktonic foraminifera global change marine zooplankton climate change dataset Dataset 2019 ftdatacite https://doi.org/10.5281/zenodo.2638013 https://doi.org/10.5281/zenodo.2638012 2021-11-05T12:55:41Z Data and R code for "Global change drives modern plankton communities away from pre-industrial state" by Lukas Jonkers, Helmut Hillebrandt and Michal Kucera (https://doi.org/10.1038/s41586-019-1230-3). Compare planktonic foraminifera species assemblages from sediments and sediment traps. Scripts written by Lukas Jonkers DATA SOURCES * HadISST: Rayner, N. A. et al. Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. Journal of Geophysical Research: Atmospheres 108, doi:10.1029/2002JD002670 (2003). * ERSST v5: Huang, B. et al. NOAA Extended Reconstructed Sea Surface Temperature (ERSST), Version 5. Monthly mean. NOAA National Centers for Environmental Information. doi:10.7289/V5T72FNM. Access date: 14 Sep 2018. (2017). * sediment assemblages: Siccha, M. & Kucera, M. ForCenS, a curated database of planktonic foraminifera census counts in marine surface sediment samples. Scientific Data 4, 170109, doi:10.1038/sdata.2017.109 (2017). * sediment traps: citations provided in data files DATA 1. Planktonic foraminifera shell flux time series 1.1. all data: dat_sel.RDS 1.2. time series with >125 and >150 micron data: dat_small.RDS 1.3. shell flux data in csv format: shell_flux_data.csv 2. ForCenS core top sediment assemblages 2.1. all data (excluding duplicates and samples with incomplete taxonomy): forcens_trimmed_compare.RDS 2.2. all data, split by region: species_domains_compare.RDS 2.3. indices of samples: domain_indeces_compare.RDS 3. SST 3.1. average SST for each sample in ForCenS for 1870-1899 period based on HadISST: forcens_HadSST_1870-1899.RDS 3.2. average SST for each sample in ForCenS for 1854-1883 period based on ERSST v5: forcens_ERSST_1854-1883.RDS 3.3. average SST for each sediment trap site for 1870-1899 period based on HadISST: traps_HadSST_1870-1899.RDS 3.4. average SST for each sediment trap site for 1854-1883 period based on ERSST v5: traps_ERSST_1854-1883.RDS 3.5. average SST for each sediment trap site for deployment period based on HadISST: traps_HadSST_period.RDS 3.6. average SST for each sediment trap site for deployment period based on ERSST v5: traps_ERSST_period.RDS 3.7. linear SST trend between 1870 and 2015 based on HadISST: hadisst_trend_1870-2015.RDS 3.8. average SST for period of sediment trap observations: hadisst_mean_1978-2013.RDS CODE 1. get_ForCenS.R: selection of ForCenS data. Used to generate data 2.1-2.3 2. make_polygons.R: make circles with 100 km radius around trap and core tope sites used in 4 and 5 3. make_polygon_function.R: used by 2 4. extract_HadSST.R: extraction of data 3.1, 3.3, 3.5, 3.7, 3.8 5. extract_ERRSTv5.R: extraction of data 3.2, 3.4, 3.6 6. make_annual_assemblages.R: process shell flux time series (data 1.1 and 1.2) 7. make_annual_fluxes_function.R: used by 6 8. compare_trap_sed_publish.R: code to compare sediment trap and core top assemblages 9. compare_figs.R: code to create figures 10. maps_robinson.R: code to create maps Dataset Planktonic foraminifera Sea ice DataCite Metadata Store (German National Library of Science and Technology) Rayner ENVELOPE(-45.166,-45.166,-60.650,-60.650) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
planktonic foraminifera global change marine zooplankton climate change |
spellingShingle |
planktonic foraminifera global change marine zooplankton climate change Jonkers, Lukas Hillebrandt, Helmut Kucera, Michal Data and code for Global change drives modern plankton communities away from pre-industrial state |
topic_facet |
planktonic foraminifera global change marine zooplankton climate change |
description |
Data and R code for "Global change drives modern plankton communities away from pre-industrial state" by Lukas Jonkers, Helmut Hillebrandt and Michal Kucera (https://doi.org/10.1038/s41586-019-1230-3). Compare planktonic foraminifera species assemblages from sediments and sediment traps. Scripts written by Lukas Jonkers DATA SOURCES * HadISST: Rayner, N. A. et al. Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. Journal of Geophysical Research: Atmospheres 108, doi:10.1029/2002JD002670 (2003). * ERSST v5: Huang, B. et al. NOAA Extended Reconstructed Sea Surface Temperature (ERSST), Version 5. Monthly mean. NOAA National Centers for Environmental Information. doi:10.7289/V5T72FNM. Access date: 14 Sep 2018. (2017). * sediment assemblages: Siccha, M. & Kucera, M. ForCenS, a curated database of planktonic foraminifera census counts in marine surface sediment samples. Scientific Data 4, 170109, doi:10.1038/sdata.2017.109 (2017). * sediment traps: citations provided in data files DATA 1. Planktonic foraminifera shell flux time series 1.1. all data: dat_sel.RDS 1.2. time series with >125 and >150 micron data: dat_small.RDS 1.3. shell flux data in csv format: shell_flux_data.csv 2. ForCenS core top sediment assemblages 2.1. all data (excluding duplicates and samples with incomplete taxonomy): forcens_trimmed_compare.RDS 2.2. all data, split by region: species_domains_compare.RDS 2.3. indices of samples: domain_indeces_compare.RDS 3. SST 3.1. average SST for each sample in ForCenS for 1870-1899 period based on HadISST: forcens_HadSST_1870-1899.RDS 3.2. average SST for each sample in ForCenS for 1854-1883 period based on ERSST v5: forcens_ERSST_1854-1883.RDS 3.3. average SST for each sediment trap site for 1870-1899 period based on HadISST: traps_HadSST_1870-1899.RDS 3.4. average SST for each sediment trap site for 1854-1883 period based on ERSST v5: traps_ERSST_1854-1883.RDS 3.5. average SST for each sediment trap site for deployment period based on HadISST: traps_HadSST_period.RDS 3.6. average SST for each sediment trap site for deployment period based on ERSST v5: traps_ERSST_period.RDS 3.7. linear SST trend between 1870 and 2015 based on HadISST: hadisst_trend_1870-2015.RDS 3.8. average SST for period of sediment trap observations: hadisst_mean_1978-2013.RDS CODE 1. get_ForCenS.R: selection of ForCenS data. Used to generate data 2.1-2.3 2. make_polygons.R: make circles with 100 km radius around trap and core tope sites used in 4 and 5 3. make_polygon_function.R: used by 2 4. extract_HadSST.R: extraction of data 3.1, 3.3, 3.5, 3.7, 3.8 5. extract_ERRSTv5.R: extraction of data 3.2, 3.4, 3.6 6. make_annual_assemblages.R: process shell flux time series (data 1.1 and 1.2) 7. make_annual_fluxes_function.R: used by 6 8. compare_trap_sed_publish.R: code to compare sediment trap and core top assemblages 9. compare_figs.R: code to create figures 10. maps_robinson.R: code to create maps |
format |
Dataset |
author |
Jonkers, Lukas Hillebrandt, Helmut Kucera, Michal |
author_facet |
Jonkers, Lukas Hillebrandt, Helmut Kucera, Michal |
author_sort |
Jonkers, Lukas |
title |
Data and code for Global change drives modern plankton communities away from pre-industrial state |
title_short |
Data and code for Global change drives modern plankton communities away from pre-industrial state |
title_full |
Data and code for Global change drives modern plankton communities away from pre-industrial state |
title_fullStr |
Data and code for Global change drives modern plankton communities away from pre-industrial state |
title_full_unstemmed |
Data and code for Global change drives modern plankton communities away from pre-industrial state |
title_sort |
data and code for global change drives modern plankton communities away from pre-industrial state |
publisher |
Zenodo |
publishDate |
2019 |
url |
https://dx.doi.org/10.5281/zenodo.2638013 https://zenodo.org/record/2638013 |
long_lat |
ENVELOPE(-45.166,-45.166,-60.650,-60.650) |
geographic |
Rayner |
geographic_facet |
Rayner |
genre |
Planktonic foraminifera Sea ice |
genre_facet |
Planktonic foraminifera Sea ice |
op_relation |
https://dx.doi.org/10.5281/zenodo.2638012 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.2638013 https://doi.org/10.5281/zenodo.2638012 |
_version_ |
1766169733309136896 |