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dc.contributor.author Vega, Greta C.
dc.contributor.author Pertierra, Luis R.
dc.contributor.author Olalla-Tárraga, Miguel Ángel
dc.coverage.spatial Global
dc.date.accessioned 2017-06-27T22:42:17Z
dc.date.available 2017-06-27T22:42:17Z
dc.date.issued 2017-06-20
dc.identifier doi:10.5061/dryad.s2v81.2
dc.identifier.citation Vega GC, Pertierra LR, Olalla-Tárraga MÁ (2017) MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling. Scientific Data 4: 170078.
dc.identifier.issn 2052-4463
dc.identifier.uri http://hdl.handle.net/10255/dryad.120152
dc.identifier.uri http://hdl.handle.net/10255/dryad.150272
dc.description Species Distribution Models (SDMs) combine information on the geographic occurrence of species with environmental layers to estimate distributional ranges and have been extensively implemented to answer a wide array of applied ecological questions. Unfortunately, most global datasets available to parameterize SDMs consist of spatially interpolated climate surfaces obtained from ground weather station data and have omitted the Antarctic continent, a landmass covering c. 20% of the Southern Hemisphere and increasingly showing biological effects of global change. Here we introduce MERRAclim, a global set of satellite-based bioclimatic variables including Antarctica for the first time. MERRAclim consists of three datasets of 19 bioclimatic variables that have been built for each of the last three decades (1980s, 1990s and 2000s) using hourly data of 2 m temperature and specific humidity. We provide MERRAclim at three spatial resolutions (10 arc-minutes, 5 arc-minutes and 2.5 arc-minutes). These reanalysed data are comparable to widely used datasets based on ground station interpolations, but allow extending their geographical reach and SDM building in previously uncovered regions of the globe.
dc.relation.haspart doi:10.5061/dryad.s2v81.2/1.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/2.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/3.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/4.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/5.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/6.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/7.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/8.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/9.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/10.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/11.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/12.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/13.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/14.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/15.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/16.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/17.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/18.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/19.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/20.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/21.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/22.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/23.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/24.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/25.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/26.2
dc.relation.haspart doi:10.5061/dryad.s2v81.2/27.2
dc.relation.isreferencedby doi:10.1038/sdata.2017.78
dc.subject bioclimatic
dc.subject MERRAclim
dc.subject macroecology
dc.subject biogeography
dc.title Data from: MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling
dc.type Article
dc.contributor.correspondingAuthor Vega, Greta C.
prism.publicationName Scientific Data
dryad.dansTransferDate 2018-05-19T14:23:59.961+0000
dryad.dansEditIRI https://easy.dans.knaw.nl/sword2/container/2c35f542-2e60-4f88-80a5-b52011fb1a48
dryad.dansArchiveDate 2018-05-19T15:03:49.299+0000

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Title MERRAclim. 10m_max_00s
Downloaded 154 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 2000s decade at 10 arcminutes resolution in GEOtiff format. The humidity version used is the maximum. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers (BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
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Title MERRAclim. 10m_max_90s
Downloaded 50 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 1990s decade at 10 arcminutes resolution in GEOtiff format. The humidity version used is the maximum. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers(BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
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Title MERRAclim. 10m_max_80s
Downloaded 37 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 1980s decade at 10 arcminutes resolution in GEOtiff format. The humidity version used is the maximum. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers(BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
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Title MERRAclim. 10m_mean_00s
Downloaded 71 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 2000s decade at 10 arcminutes resolution in GEOtiff format. The humidity version used is the mean. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers(BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
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Title MERRAclim. 10m_mean_90s
Downloaded 47 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 1990s decade at 10 arcminutes resolution in GEOtiff format. The humidity version used is the mean. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers(BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
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Title MERRAclim. 10m_mean_80s
Downloaded 47 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 1980s decade at 10 arcminutes resolution in GEOtiff format. The humidity version used is the mean. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers(BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
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Title MERRAclim. 10m_min_00s
Downloaded 32 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 2000s decade at 10 arcminutes resolution in GEOtiff format. The humidity version used is the minimum. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers(BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
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Title MERRAclim. 10m_min_90s
Downloaded 28 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 1990s decade at 10 arcminutes resolution in GEOtiff format. The humidity version used is the min. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers (BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
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Title MERRAclim. 10m_min_80s
Downloaded 42 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 1980s decade at 10 arcminutes resolution in GEOtiff format. The humidity version used is the min. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers(BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
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Title MERRAclim. 5m_max_00s
Downloaded 43 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 2000s decade at 5 arcminutes resolution in GEOtiff format. The humidity version used is the max. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers(BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
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Title MERRAclim. 5m_max_90s
Downloaded 35 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 1990s decade at 5 arcminutes resolution in GEOtiff format. The humidity version used is the max. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers(BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
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Title MERRAclim. 5m_max_80s
Downloaded 25 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 1980s decade at 5 arcminutes resolution in GEOtiff format. The humidity version used is the max. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers(BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
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Title MERRAclim. 5m_mean_00s
Downloaded 42 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 2000s decade at 5 arcminutes resolution in GEOtiff format. The humidity version used is the mean. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers (BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
Download 5m_mean_00s.zip (192.8 Mb)
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Title MERRAclim. 5m_mean_90s
Downloaded 24 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 1990s decade at 5 arcminutes resolution in GEOtiff format. The humidity version used is the mean. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers(BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
Download 5m_mean_90s.zip (194.3 Mb)
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Title MERRAclim. 5m_mean_80s
Downloaded 24 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 1980s decade at 5 arcminutes resolution in GEOtiff format. The humidity version used is the mean. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers(BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
Download 5m_mean_80s.zip (194.7 Mb)
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Title MERRAclim. 5m_min_00s
Downloaded 29 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 2000s decade at 5 arcminutes resolution in GEOtiff format. The humidity version used is the min. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers(BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
Download 5m_min_00s.zip (184.4 Mb)
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Title MERRAclim. 5m_min_90s
Downloaded 24 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 1990s decade at 5 arcminutes resolution in GEOtiff format. The humidity version used is the min. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers (BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
Download 5m_min_90s.zip (185.2 Mb)
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Title MERRAclim. 5m_min_80s
Downloaded 28 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 1980s decade at 5 arcminutes resolution in GEOtiff format. The humidity version used is the min. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers (BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
Download 5m_min_80s.zip (185.7 Mb)
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Title MERRAclim. 2_5m_max_00s
Downloaded 75 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 2000s decade at 2.5 arcminutes resolution in GEOtiff format. The humidity version used is the max. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers (BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
Download 2_5m_max_00s.zip (699.0 Mb)
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Title MERRAclim. 2_5m_max_90s
Downloaded 59 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 1990s decade at 2.5 arcminutes resolution in GEOtiff format. The humidity version used is the max. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers (BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
Download 2_5m_max_90s.zip (705.6 Mb)
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Title MERRAclim. 2_5m_max_80s
Downloaded 60 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 1980s decade at 2.5 arcminutes resolution in GEOtiff format. The humidity version used is the max. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers (BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
Download 2_5m_max_80s.zip (707.3 Mb)
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Title MERRAclim. 2_5m_mean_00s
Downloaded 164 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 2000s decade at 2.5 arcminutes resolution in GEOtiff format. The humidity version used is the mean. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers (BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
Download 2_5m_mean_00s.zip (675.0 Mb)
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Title MERRAclim. 2_5m_mean_90s
Downloaded 66 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 1990s decade at 2.5 arcminutes resolution in GEOtiff format. The humidity version used is the mean. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers (BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
Download 2_5m_mean_90s.zip (681.7 Mb)
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Title MERRAclim. 2_5m_mean_80s
Downloaded 63 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the1980s decade at 2.5 arcminutes resolution in GEOtiff format. The humidity version used is the mean. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers (BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
Download 2_5m_mean_80s.zip (683.4 Mb)
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Title MERRAclim. 2_5m_min_00s
Downloaded 96 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 2000s decade at 2.5 arcminutes resolution in GEOtiff format. The humidity version used is the min. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers (BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
Download 2_5m_min_00s.zip (642.6 Mb)
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Title MERRAclim. 2_5m_min_90s
Downloaded 53 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 1990s decade at 2.5 arcminutes resolution in GEOtiff format. The humidity version used is the min. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers (BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
Download 2_5m_min_90s.zip (647.0 Mb)
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Title MERRAclim. 2_5m_min_80s
Downloaded 62 times
Description MERRAclim Dataset. 19 global bioclimatic variables from the 1980s decade at 2.5 arcminutes resolution in GEOtiff format. The humidity version used is the min. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers (BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.
Download 2_5m_min_80s.zip (649.0 Mb)
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