Data from: Oscillayers: a dataset for the study of climatic oscillations over Plio-Pleistocene time scales at high spatial-temporal resolution

Motivation: In order to understand how species evolutionarily responded to Plio-Pleistocene climate oscillations (e.g. in terms of speciation, extinction, migration and adaptation), it is first important to have a good understanding of those past climate changes per se. This, however, is currently l...

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Main Author: Gamisch, Alexander
Format: Dataset
Language:English
Published: Dryad 2019
Subjects:
ENM
Online Access:https://dx.doi.org/10.5061/dryad.27f8s90
http://datadryad.org/stash/dataset/doi:10.5061/dryad.27f8s90
id ftdatacite:10.5061/dryad.27f8s90
record_format openpolar
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic interpolation
Anomaly
ENM
palaeo-climate
oscillations
bioclim
spellingShingle interpolation
Anomaly
ENM
palaeo-climate
oscillations
bioclim
Gamisch, Alexander
Data from: Oscillayers: a dataset for the study of climatic oscillations over Plio-Pleistocene time scales at high spatial-temporal resolution
topic_facet interpolation
Anomaly
ENM
palaeo-climate
oscillations
bioclim
description Motivation: In order to understand how species evolutionarily responded to Plio-Pleistocene climate oscillations (e.g. in terms of speciation, extinction, migration and adaptation), it is first important to have a good understanding of those past climate changes per se. This, however, is currently limited due to the lack of global-scale climatic datasets with high temporal resolution spanning the Plio-Pleistocene. To fill this gap, I here present Oscillayers, a global-scale and region-specific bioclim dataset, facilitating the study of climatic oscillations during the last 5.4 million years at high spatial (2.5 arc-minutes) and temporal (10 kyr time periods) resolution. This data set builds upon interpolated anomalies (Δ layers) between bioclim layers of the present and the Last Glacial Maximum (LGM) that are scaled relative to the Plio-Pleistocene global mean temperature curve, derived from benthic stable oxygen isotope ratios, to generate bioclim variables for 539 time periods. Evaluation of the scaled, interpolated estimates of palaeo-climates generated for the Holocene, Last Interglacial and Pliocene showed good agreement with independent General Circulation Models (GCMs) for respective time periods in terms of pattern correlation and absolute differences. Oscillayers thus provides a new tool for studying spatial-temporal patterns of evolutionary and ecological processes at high temporal and spatial resolution. Main types of variable contained: 19 bioclim variables for time periods throughout the Plio-Pleistocene. Input data and R script to recreate all 19 bioclim variables. Spatial location and grain: Global at 2.5 arc-minutes (4.65 x 4.65 = 21.62 km2 at the equator). Time period and grain: The last 5.4 million years. The grain is 10 kyr (= 539 time periods). Level of measurement: Data are for terrestrial climates (excluding Antarctica) taking sea level changes into account. Software format: All data are available as ASCII (ESRI) grid files. : Bio1_PleistoceneOscillayers (Bio1) for time periods 20 kyr to 2.570 MyrBio1_PlioceneOscillayers (Bio1) for time periods 2.580 Myr to 5.40 MyrBio2_PleistoceneOscillayers (Bio2) for time periods 20 kyr to 2.570 MyrBio2_PlioceneOscillayers (Bio2) for time periods 2.580 Myr to 5.40 MyrBio3_PleistoceneOscillayers (Bio3) for time periods 20 kyr to 2.570 MyrBio3_PlioceneOscillayers (Bio3) for time periods 2.580 Myr to 5.40 MyrBio4_PleistoceneOscillayers (Bio4) for time periods 20 kyr to 2.570 MyrBio4_PlioceneOscillayers (Bio4) for time periods 2.580 Myr to 5.40 MyrBio5_PleistoceneOscillayers (Bio5) for time periods 20 kyr to 2.570 MyrBio5_PlioceneOscillayers (Bio5) for time periods 2.580 Myr to 5.40 MyrBio6_PleistoceneOscillayers (Bio6) for time periods 20 kyr to 2.570 MyrBio6_PlioceneOscillayers (Bio6) for time periods 2.580 Myr to 5.40 MyrBio7_PleistoceneOscillayers (Bio7) for time periods 20 kyr to 2.570 MyrBio7_PlioceneOscillayers (Bio7) for time periods 2.580 Myr to 5.40 MyrBio8_PleistoceneOscillayers (Bio8) for time periods 20 kyr to 2.570 MyrBio8_PlioceneOscillayers (Bio8) for time periods 2.580 Myr to 5.40 MyrBio9_PleistoceneOscillayers (Bio9) for time periods 20 kyr to 2.570 MyrBio9_PlioceneOscillayers (Bio9) for time periods 2.580 Myr to 5.40 MyrBio10_PleistoceneOscillayers (Bio10) for time periods 20 kyr to 2.570 MyrBio10_PlioceneOscillayers (Bio10) for time periods 2.580 Myr to 5.40 MyrBio11_PleistoceneOscillayers (Bio11) for time periods 20 kyr to 2.570 MyrBio11_PlioceneOscillayers (Bio11) for time periods 2.580 Myr to 5.40 MyrBio12_PleistoceneOscillayers (Bio12) for time periods 20 kyr to 2.570 MyrBio12_PlioceneOscillayers (Bio12) for time periods 2.580 Myr to 5.40 MyrBio13_PleistoceneOscillayers (Bio13) for time periods 20 kyr to 2.570 MyrBio13_PlioceneOscillayers (Bio13) for time periods 2.580 Myr to 5.40 MyrBio14_PleistoceneOscillayers (Bio14) for time periods 20 kyr to 2.570 MyrBio14_PlioceneOscillayers (Bio14) for time periods 2.580 Myr to 5.40 MyrBio15_PleistoceneOscillayers (Bio15) for time periods 20 kyr to 2.570 MyrBio15_PlioceneOscillayers (Bio15) for time periods 2.580 Myr to 5.40 MyrBio16_PleistoceneOscillayers (Bio16) for time periods 20 kyr to 2.570 MyrBio16_PlioceneOscillayers (Bio16) for time periods 2.580 Myr to 5.40 MyrBio17_PleistoceneOscillayers (Bio17) for time periods 20 kyr to 2.570 MyrBio17_PlioceneOscillayers (Bio17) for time periods 2.580 Myr to 5.40 MyrBio18_PleistoceneOscillayers (Bio18) for time periods 20 kyr to 2.570 MyrBio18_PlioceneOscillayers (Bio18) for time periods 2.580 Myr to 5.40 MyrBio19_PleistoceneOscillayers (Bio19) for time periods 20 kyr to 2.570 MyrBio19_PlioceneOscillayers (Bio19) for time periods 2.580 Myr to 5.40 MyrINPUTAll files & R scripts to recreate the Oscillayers.READMEGeneral Information including a step-by-step guide on how to tailor the Oscillayers to specific needs (i.e. custom study regions).
format Dataset
author Gamisch, Alexander
author_facet Gamisch, Alexander
author_sort Gamisch, Alexander
title Data from: Oscillayers: a dataset for the study of climatic oscillations over Plio-Pleistocene time scales at high spatial-temporal resolution
title_short Data from: Oscillayers: a dataset for the study of climatic oscillations over Plio-Pleistocene time scales at high spatial-temporal resolution
title_full Data from: Oscillayers: a dataset for the study of climatic oscillations over Plio-Pleistocene time scales at high spatial-temporal resolution
title_fullStr Data from: Oscillayers: a dataset for the study of climatic oscillations over Plio-Pleistocene time scales at high spatial-temporal resolution
title_full_unstemmed Data from: Oscillayers: a dataset for the study of climatic oscillations over Plio-Pleistocene time scales at high spatial-temporal resolution
title_sort data from: oscillayers: a dataset for the study of climatic oscillations over plio-pleistocene time scales at high spatial-temporal resolution
publisher Dryad
publishDate 2019
url https://dx.doi.org/10.5061/dryad.27f8s90
http://datadryad.org/stash/dataset/doi:10.5061/dryad.27f8s90
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_relation https://dx.doi.org/10.1111/geb.12979
op_rights Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
cc0-1.0
op_rightsnorm CC0
op_doi https://doi.org/10.5061/dryad.27f8s90
https://doi.org/10.1111/geb.12979
_version_ 1766039388028928000
spelling ftdatacite:10.5061/dryad.27f8s90 2023-05-15T13:33:12+02:00 Data from: Oscillayers: a dataset for the study of climatic oscillations over Plio-Pleistocene time scales at high spatial-temporal resolution Gamisch, Alexander 2019 https://dx.doi.org/10.5061/dryad.27f8s90 http://datadryad.org/stash/dataset/doi:10.5061/dryad.27f8s90 en eng Dryad https://dx.doi.org/10.1111/geb.12979 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 CC0 interpolation Anomaly ENM palaeo-climate oscillations bioclim dataset Dataset 2019 ftdatacite https://doi.org/10.5061/dryad.27f8s90 https://doi.org/10.1111/geb.12979 2022-02-08T12:53:43Z Motivation: In order to understand how species evolutionarily responded to Plio-Pleistocene climate oscillations (e.g. in terms of speciation, extinction, migration and adaptation), it is first important to have a good understanding of those past climate changes per se. This, however, is currently limited due to the lack of global-scale climatic datasets with high temporal resolution spanning the Plio-Pleistocene. To fill this gap, I here present Oscillayers, a global-scale and region-specific bioclim dataset, facilitating the study of climatic oscillations during the last 5.4 million years at high spatial (2.5 arc-minutes) and temporal (10 kyr time periods) resolution. This data set builds upon interpolated anomalies (Δ layers) between bioclim layers of the present and the Last Glacial Maximum (LGM) that are scaled relative to the Plio-Pleistocene global mean temperature curve, derived from benthic stable oxygen isotope ratios, to generate bioclim variables for 539 time periods. Evaluation of the scaled, interpolated estimates of palaeo-climates generated for the Holocene, Last Interglacial and Pliocene showed good agreement with independent General Circulation Models (GCMs) for respective time periods in terms of pattern correlation and absolute differences. Oscillayers thus provides a new tool for studying spatial-temporal patterns of evolutionary and ecological processes at high temporal and spatial resolution. Main types of variable contained: 19 bioclim variables for time periods throughout the Plio-Pleistocene. Input data and R script to recreate all 19 bioclim variables. Spatial location and grain: Global at 2.5 arc-minutes (4.65 x 4.65 = 21.62 km2 at the equator). Time period and grain: The last 5.4 million years. The grain is 10 kyr (= 539 time periods). Level of measurement: Data are for terrestrial climates (excluding Antarctica) taking sea level changes into account. Software format: All data are available as ASCII (ESRI) grid files. : Bio1_PleistoceneOscillayers (Bio1) for time periods 20 kyr to 2.570 MyrBio1_PlioceneOscillayers (Bio1) for time periods 2.580 Myr to 5.40 MyrBio2_PleistoceneOscillayers (Bio2) for time periods 20 kyr to 2.570 MyrBio2_PlioceneOscillayers (Bio2) for time periods 2.580 Myr to 5.40 MyrBio3_PleistoceneOscillayers (Bio3) for time periods 20 kyr to 2.570 MyrBio3_PlioceneOscillayers (Bio3) for time periods 2.580 Myr to 5.40 MyrBio4_PleistoceneOscillayers (Bio4) for time periods 20 kyr to 2.570 MyrBio4_PlioceneOscillayers (Bio4) for time periods 2.580 Myr to 5.40 MyrBio5_PleistoceneOscillayers (Bio5) for time periods 20 kyr to 2.570 MyrBio5_PlioceneOscillayers (Bio5) for time periods 2.580 Myr to 5.40 MyrBio6_PleistoceneOscillayers (Bio6) for time periods 20 kyr to 2.570 MyrBio6_PlioceneOscillayers (Bio6) for time periods 2.580 Myr to 5.40 MyrBio7_PleistoceneOscillayers (Bio7) for time periods 20 kyr to 2.570 MyrBio7_PlioceneOscillayers (Bio7) for time periods 2.580 Myr to 5.40 MyrBio8_PleistoceneOscillayers (Bio8) for time periods 20 kyr to 2.570 MyrBio8_PlioceneOscillayers (Bio8) for time periods 2.580 Myr to 5.40 MyrBio9_PleistoceneOscillayers (Bio9) for time periods 20 kyr to 2.570 MyrBio9_PlioceneOscillayers (Bio9) for time periods 2.580 Myr to 5.40 MyrBio10_PleistoceneOscillayers (Bio10) for time periods 20 kyr to 2.570 MyrBio10_PlioceneOscillayers (Bio10) for time periods 2.580 Myr to 5.40 MyrBio11_PleistoceneOscillayers (Bio11) for time periods 20 kyr to 2.570 MyrBio11_PlioceneOscillayers (Bio11) for time periods 2.580 Myr to 5.40 MyrBio12_PleistoceneOscillayers (Bio12) for time periods 20 kyr to 2.570 MyrBio12_PlioceneOscillayers (Bio12) for time periods 2.580 Myr to 5.40 MyrBio13_PleistoceneOscillayers (Bio13) for time periods 20 kyr to 2.570 MyrBio13_PlioceneOscillayers (Bio13) for time periods 2.580 Myr to 5.40 MyrBio14_PleistoceneOscillayers (Bio14) for time periods 20 kyr to 2.570 MyrBio14_PlioceneOscillayers (Bio14) for time periods 2.580 Myr to 5.40 MyrBio15_PleistoceneOscillayers (Bio15) for time periods 20 kyr to 2.570 MyrBio15_PlioceneOscillayers (Bio15) for time periods 2.580 Myr to 5.40 MyrBio16_PleistoceneOscillayers (Bio16) for time periods 20 kyr to 2.570 MyrBio16_PlioceneOscillayers (Bio16) for time periods 2.580 Myr to 5.40 MyrBio17_PleistoceneOscillayers (Bio17) for time periods 20 kyr to 2.570 MyrBio17_PlioceneOscillayers (Bio17) for time periods 2.580 Myr to 5.40 MyrBio18_PleistoceneOscillayers (Bio18) for time periods 20 kyr to 2.570 MyrBio18_PlioceneOscillayers (Bio18) for time periods 2.580 Myr to 5.40 MyrBio19_PleistoceneOscillayers (Bio19) for time periods 20 kyr to 2.570 MyrBio19_PlioceneOscillayers (Bio19) for time periods 2.580 Myr to 5.40 MyrINPUTAll files & R scripts to recreate the Oscillayers.READMEGeneral Information including a step-by-step guide on how to tailor the Oscillayers to specific needs (i.e. custom study regions). Dataset Antarc* Antarctica DataCite Metadata Store (German National Library of Science and Technology)