cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4231/d3280506g
title: RECENTERING BEAM-COLUMN CONNECTION

description: The conception, proof-of-concept testing, performance, and behavior of a SMA-based recentering beam-column connection are presented.  Since the 1994 Northridge earthquake, many different research initiatives have been undertaken to create connections that have more robust performance under seismic loads.  Numerous vulnerabilities in fully restrained connections have resulted in the re-evaluation of their partially restrained counterpart (i.e. bolted connections).  This re-evaluation has shown that properly detailed partially restrained connections have good seismic performance (Murray, 1988; Ocel et al., 2004; Penar, 2005; Swanson and Leon, 2000).  A SMA-based partially restrained connection is proposed in this research.  The connection is designed to have excellent ductility, yet maintain the ability to recenter after large drift demands.
	The experimental testing and results from five beam-column connection tests are presented in the work herein.  The connection was a modified version of the connection previously tested by Penar (2005) at Georgia Tech.  Several enhancements to the previous connection were made in order to ensure that all the inelastic deformations were concentrated in the NiTi tendons.  More detailed information can be found in Matthew Speicher's dissertation.
DOI: 10.4231/d35x25d7k
title: Articulated Quadrilateral Devices Tested by Matthew Speicher

description: The data included in this experiment were conducted as part of Matthew Speicher's thesis. The articulated quadrilateral device designed by Matthew as part of his thesis was tested cyclically, with just the SMA tendons, with just the C-Shaped energy dissipator, and then with both the SMA tendons AND the energy dissipator.
DOI: 10.4231/d39p2w70g
title: Brace with Nitinol Helical Spring Tested by Matthew Speicher

description: This experiment is the testing done by Matthew Speicher as part of his PhD thesis work. The data presented herein are results of cyclic loading of two helical Nitinol shape memory alloy springs - one was solid, the other hollow.
DOI: 10.6073/pasta/055406a1e82d86eac29c77f811e84b45
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1989-07-22
DOI: 10.6073/pasta/06ffd67ce1ba3e8119d85a2110103045
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2010-02-08
DOI: 10.6073/pasta/29baa0bafeb02fa0e32a5b70c836a7be
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2008-05-25
DOI: 10.6073/pasta/4aeb6309bd5dec03eaafd9ccc69c4571
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2008-01-18
DOI: 10.6073/pasta/4b50988f88647f426c82a673e0c229a5
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2008-02-03
DOI: 10.6073/pasta/743f746fd83337f53e1a1e177f03f64f
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 1998-03-27
DOI: 10.6073/pasta/7b3bbcf9480b219d046b56e73f215a31
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2009-11-20
DOI: 10.6073/pasta/86940eab243394e3498c8aba6eee0d67
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2008-06-10
DOI: 10.6073/pasta/878497ad5d322f4fdd79594cf0a88293
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 2008-07-10
DOI: 10.6073/pasta/987c48a247c9b1d426c16896e2ec14a6
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2009-01-11
DOI: 10.6073/pasta/aeded33e6ffeb668de62528d9b92ba3c
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2009-11-04
DOI: 10.6073/pasta/b77921ed9a1ee446ee31e764d29b015f
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2010-03-28
DOI: 10.6073/pasta/cd571c6846b2476190602b3a396f53ab
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2008-04-23
DOI: 10.6073/pasta/d876f044f6e853ab29db481f7484b129
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2009-12-06
DOI: 10.6073/pasta/dafbab2dcfe8a74c5e03a93e0e5ab59d
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2010-01-23
DOI: 10.6073/pasta/f8e62562099d20fcfaf5de26efe5122a
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1989-07-06
DOI: 10.17614/q41n7z843
title: N-(1,1-dimethylpropyl)-3,3-dimethyl-pentanamide
DOI: 10.17614/q45d8p27r
title: [2-[(1S,2S)-2-methylcyclopropyl]acetyl] 2,2-dimethylpropanoate
DOI: 10.17614/q4959cw0m
title: [2-[(1S,2R)-2-methylcyclopropyl]acetyl] 2,2-dimethylpropanoate
DOI: 10.17614/q4cz32s57
title: (E)-(1-methylcyclopropyl)-propyl-diazene
DOI: 10.17614/q4dv1d93n
title: [2-[(1R,2S)-2-methylcyclopropyl]acetyl] 2,2-dimethylpropanoate
DOI: 10.17614/q4hm53662
title: (E)-(1-methylcyclopropyl)-propyl-diazene
DOI: 10.17614/q4nc5t10f
title: 3-hydroxy-2,4-dioxopentyl phosphate
DOI: 10.17614/q4s46ht64
title: [(2R,3R,4R,5R)-5-(6-aminopurine-1,3,7-triium-9-yl)-4-[(2R,3R,4R,5R)-3-[(2R,3R,4S,5R)-3,4-dihydroxy-5-(phosphonooxymethyl)tetrahydrofuran-2-yl]oxy-4-hydroxy-5-(phosphonooxymethyl)tetrahydrofuran-2-yl]oxy-3-hydroxy-tetrahydrofuran-2-yl]methyl dihydrogen phosphate
DOI: 10.17614/q4ww77n0k
title: (4S)-5-[[2-[[(1S)-1-[(1S)-2-chloro-1-hydroxy-ethyl]-4-guanidino-butyl]amino]-2-oxo-ethyl]amino]-4-[[5-(dimethylamino)-1-naphthyl]sulfonylamino]-5-oxo-pentanoic acid
DOI: 10.4231/d3nz80r2j
title: Full-scale dynamic testing of non-ductile reinforced concrete frame retrofitted with innovative SMA bracing device (Frame #4b)

description: This study presents full-scale shaker-excited dynamic tests of 2-story and 2-bay non-ductile reinforced concrete frame retrofitted with a shape memory alloy (SMA) bracing device. The aim of this study is to evaluate seismic retrofit effectiveness of this innovative bracing device for a non-ductile RC frame. The braces were only installed on the first story but the 2nd story was stiffened using steel cables in order to drive more force into the 1st story braces.

This study was denominated Experiment 4b. After the 4a test series (data included as a separate experiment on NEEShub), the 2nd story was stiffened using steel cables.
The key findings of this investigation were: 
1) The SMA braces effectively suppressed the story vibrations and recentered the frame upon removal of the external lateral loads (shaker input loads). 
2) SMA wires can be applied into braces without breaking as long as the design appropriately limits the peak SMA strain demand to the permissible strain range. 
3) The brace end connection linked the brace to steel members anchored to the RC frame. It was designed by applying AISC seismic provisions and ACI ‘anchoring to concrete’ specifications, as appropriate. The connection successfully transferred forces without damage to the steel or concrete members.
DOI: 10.4231/d3sq8qj7s
title: Full-scale dynamic testing of non-ductile reinforced concrete frame retrofitted with FRP jacket columns (Frame #3)

description: This study presents full-scale dynamic tests of 2-story and 2-bay non-ductile reinforced concrete frame retrofitted with pre-cured Carbon Fiber Reinforced Polymer (CFRP) jackets. The aim of this study is to evaluate seismic retrofit effectiveness of CFRP jackets for the non-ductile RC frame. The CFRP jackets were only applied to the columns on first story.
DOI: 10.4231/d3xg9fc21
title: Full-scale dynamic testing of non-ductile reinforced concrete frame (Frame #1)

description: This experiment presents the results of a full-scale dynamic tests of a two story by two bay nonductile reinforced concrete frame. The structure was designed explicitly for gravity loads with no consideration of lateral loads. The new nees@UCLA linear inertial shaker is used to provide dynamic loading at the roof using both harmonic and broadband inputs. The small nees@UCLA 4600A portable eccentric mass shaker is used intermittently to determine the shift in the dynamic properties of the structure. This test is conducted on the as-built frame (Frame #1). Frames #2-#4 (which are nominally identical in construction) were retrofitted and tested separately. The key result of this investigation of this experiment was twofold. First, it was verified that the linear shaker could impart large scale broadband excitations to the structure, exciting it into its nonlinear regime. Secondly, the failure mechanism of the concrete frame was governed by failures of the column splices at the foundation. Once the splices failed, the forces that could be imparted on other members of the system was limited.
DOI: 10.6073/pasta/0a7538e210c2cd19feb046f786a34a3d
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1989-11-11
DOI: 10.6073/pasta/2f5f669c1531fa0dd203cb3d89482f9e
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2010-05-15
DOI: 10.6073/pasta/356adc98834a9f8cdbf24ea4ce609fd7
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1989-08-07
DOI: 10.6073/pasta/4b19413c51b157b7e8ffd8250fa16a33
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1989-08-23
DOI: 10.6073/pasta/4d9fc943af716765b5df5192cd2626bd
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2010-04-13
DOI: 10.6073/pasta/5b88209f8acd2d8ce6fb1ae79a27b1c6
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 2008-09-12
DOI: 10.6073/pasta/74edd23e8afe3f4fe838ead6f1309e19
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2010-06-16
DOI: 10.6073/pasta/77de2bb437ee98b1b06acea44e326626
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2010-07-02
DOI: 10.6073/pasta/7917563fd8c61d7715ae8b0caca8c08a
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2008-08-13
DOI: 10.6073/pasta/8541ff41deeef10f81ac538acc8095cc
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2010-08-19
DOI: 10.6073/pasta/8c838f1e2e2fc0f8b7080b02cd8bcfcd
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2008-08-29
DOI: 10.6073/pasta/90854e3df81e0d947d511fbf2a5e6225
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2009-03-16
DOI: 10.6073/pasta/a2a1c6e7478c6fa4d6f64828430ff968
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2008-07-28
DOI: 10.6073/pasta/bb71822d661652bfc17dd551b61c59a2
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 1998-04-12
DOI: 10.6073/pasta/c9fe6ca61532a3d62c90a28ceef1b5f4
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2010-05-31
DOI: 10.6073/pasta/e05d8e9b1ec7190ae8742ca40e5a4f6b
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1989-09-08
DOI: 10.6073/pasta/f20d74d5cc7be1c9af3b4989168981df
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2009-02-28
DOI: 10.6073/pasta/f2d76f2c0f7f4505bb063d0b341d5672
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2009-02-12
DOI: 10.6073/pasta/f2eae74f3d28243d4de94600bae4e634
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2010-08-03
DOI: 10.6073/pasta/fc6e21513bf59bb7344d44163f5e2734
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 2008-08-27
DOI: 10.17614/q40p0xc4d
title: (2R)-2-amino-3-(2,4,6-trinitrophenyl)sulfanyl-propanoic acid
DOI: 10.17614/q44f1n58j
title: 4-[4-(cyclohexylmethyl)-BLAHcyclopenta-2,5-dien-1-yl]-2,3,5,6-tetrafluoro-benzenesulfonamide
DOI: 10.17614/q4862c029
title: butanoyl pentanoate
DOI: 10.17614/q4bz61w7z
title: 5-(indol-1-ium-7a-ylium-3-ylmethyl)-1,3-benzodioxole-4-carboxylic acid
DOI: 10.17614/q4gq6rq0v
title: 1-cyclohexylpropane-1-thione
DOI: 10.17614/q4mc8s393
title: 3,4-dinitrophenol
DOI: 10.17614/q4r49gx3f
title: (4S,4aS,5aR,12aR)-4-(dimethylamino)-7-fluoro-1,10,11,12a-tetrahydroxy-3,12-dioxo-9-[(2-pyrrolidin-1-ylacetyl)amino]-4a,5,5a,6-tetrahydro-4H-tetracene-2-carboxamide
DOI: 10.17614/q4vx06q89
title: (2r,3s,4r,5r)-5-(2,4-dioxo-3,4-dihydro-1(2h)-pyrimidinyl)-4-hydroxy-2-({[hydroxy(phosphonooxy)phosphoryl]oxy}methyl)tetrahydro-3-furanyl (2s,3s,4r,5r)-5-acetamido-3,4,6-trihydroxytetrahydro-2h-pyran-2-carboxylate
DOI: 10.6073/pasta/1345f578864015e0113340198efb99c3
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2009-06-04
DOI: 10.6073/pasta/21dfd54d5c0af39121f6e6bb63178bcf
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2008-09-14
DOI: 10.6073/pasta/2942e52bf5a4fe0588742018a440ef80
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 2007-04-23
DOI: 10.6073/pasta/2ff19e97bbfc3fa0db1c100b9b2b939f
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1990-01-14
DOI: 10.6073/pasta/46ee1d5adda84fdbe73a8a543b910d24
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1990-07-25
DOI: 10.6073/pasta/47e94be00051ac82d0e12d25138521ef
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 2008-09-28
DOI: 10.6073/pasta/4e7bb62429e62abd85e272c521d801c7
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2009-05-03
DOI: 10.6073/pasta/580d6192d78a31d6895950a28c6c1119
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2009-07-06
DOI: 10.6073/pasta/8f386896ee8765f3739bf6edd32c3e0b
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1990-06-07
DOI: 10.6073/pasta/8faa379f68716fd2dfda1dff647a1520
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2010-10-06
DOI: 10.6073/pasta/a4513b7426f9fe0efd15e03614abfb70
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2008-12-03
DOI: 10.6073/pasta/b9eababd5b07b358b05061f1e73d400f
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2008-11-17
DOI: 10.6073/pasta/c78f4c3122ff9a09a2951a28490ba649
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1990-05-22
DOI: 10.6073/pasta/d81df91bb74f86e7478f5ccc35f4662e
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2008-10-16
DOI: 10.6073/pasta/dfdbc70b78780c795753aaab28296936
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2010-10-22
DOI: 10.6073/pasta/e0780b11fe486c11e956a47ea7115458
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2009-04-01
DOI: 10.6073/pasta/f7f6ea3f57b9a828bb644107a0a2d6eb
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2010-09-20
DOI: 10.6073/pasta/f87d8cc0af65a2ce9436e0d87e12f391
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2008-11-01
DOI: 10.6073/pasta/f98e6f535d6b03eb164b1ca78098f105
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2009-06-20
DOI: 10.6073/pasta/fb01718886bd9c9a4ede7474ac3b1060
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1990-07-09
DOI: 10.17614/q43f4m90w
title: N-isobutyl-N-isohexyl-hydroxylamine
DOI: 10.17614/q4765b33j
title: 2-[4-(4-cyanophenyl)-3-[[4-(2-pyridyl)piperazin-1-yl]methyl]phenoxy]acetic acid
DOI: 10.17614/q49z9106n
title: S-[(1R,2S)-2-methylcyclopropyl] 4-methylpentanethioate
DOI: 10.17614/q4fq9qt0m
title: {5-hydroxy-6-methyl-4-[(e)-{[2-(phosphonooxy)ethyl]imino}methyl]-3-pyridinyl}methyl dihydrogen phosphate
DOI: 10.17614/q4kh0fm3t
title: (1Z,5Z,9Z,15Z,17S,18S)-18-(2-carboxyethyl)-7-ethyl-3,8,13,17,20-pentamethyl-12-vinyl-17,18-dihydroporphyrin-23-ium-14-ylium-2-carboxylic acid
DOI: 10.17614/q4q52g14n
title: (1beta,3beta)-1,3-dihydroxy-7-oxolanosta-8,24-dien-29-oic acid
DOI: 10.17614/q4tx35t82
title: nordazepam
DOI: 10.17614/q4zp3wn3x
title: [(2R,3S,5R)-5-(6-aminopurine-1,3,7-triium-9-yl)-3-hydroxy-tetrahydrofuran-2-yl]methyl hydrogen carbonate
DOI: 10.4225/08/55c7fd4376ace
title: Projected vegetation redistribution (MaxClass): Australia - 9sec gridded projection to 2050, maximum probability class generalised pre-clearing patterns of Major Vegetation Sub-groups using kernel regression with GDM (VAS_v5_r11) (CMIP5: MIROC5 RCP 8.5)

description: ****UPDATED****
This collection contains a 9-second gridded dataset (ESRI binary float format in GDA94) showing the generalised projected future (2050-centred) potential pre-clearing vegetation patterns of 77 Major Vegetation Sub-groups (MVS classes) derived from the maximum of their respective predicted probabilities for each grid cell (V_85MIR50_MXC - MaxClass). Two additional datasets show the maximum probability in each gird cell that was used to assign that class (V_85MIR50_MXP - MaxProb), and the number of classes with non-zero probabilities with potential to represent their type in each grid cell (V_85MIR50_NMC - NumClasses). The predicted probabilities for each class were derived based on their distribution patterns and correlation with baseline ecological environments (c.1990 climates, substrate and landform). The pre-clearing vegetation patterns and classification derive from version 4.1 of “Australia - Estimated Pre1750 Major Vegetation Groups - NVIS Version 4.1 (Albers 100m analysis product)” developed by the Australian Government Department of the Environment and collaborating State agencies. A kernel regression was used with c.155,000 locations of training classes for the 77 MVS classes attributed with 17 GDM-scaled environmental predictors for Vascular Plants representing baseline ecological environments. These details are provided with the data package “Potential vegetation redistribution: Australia - 9second gridded projection to 2050, pre-clearing extents of 77 Major Vegetation Sub-groups using kernel regression with GDM-scaled environments for Vascular Plants (GDM: VAS_v5_r11; CMIP5: MIROC5 RCP 8.5)”. The GDM-scaled environmental predictors are available with the “VAS_v5_r11” data package. This dataset projects the generalised potential pre-clearing vegetation patterns based on 2050-centred (30 year average) future climates derived from the MIROC5 global climate model for the emission scenario defined by a representative concentration pathway of 8.5. 

The accuracy of projections is limited by the quality of the vegetation mapping used to train the models and the accuracy of environmental variables delimiting substrate boundaries and disturbance regimes. Uncertainty or errors in the underlying vegetation map and environmental data will be reproduced by the models. Furthermore, variables describing the relationship between extreme climatic events and ecological disturbance regimes, that have significant structural influences on vegetation, are not directly included in these models.  

The data are provided as 9-second (approximately 250m), ESRI binary float grid format in GDA94.  This dataset series and its use is described in the AdaptNRM Guide “Helping biodiversity adapt to climate change: a community-level modelling approach”, available online at: www.adaptnrm.org
DOI: 10.4225/08/55c7fd7ebf13a
title: Projected vegetation redistribution: Australia - 9second gridded projection to 2050, pre-clearing extents of 77 Major Vegetation Sub-groups using kernel regression with GDM-scaled environments for Vascular Plants (GDM: VAS_v5_r11; CMIP5: MIROC5 RCP 8.5)

description: ***UPDATED***
This collection contains 9-second gridded datasets (ESRI binary float format in GDA94) showing the projected future (2050-centred) potential vegetation redistribution of 77 Major Vegetation Sub-groups (MVS classes) for continental Australia based on their pre-clearing distribution patterns and correlation with baseline ecological environments (c.1990 climates, substrate and landform). The pre-clearing vegetation patterns and classification derive from version 4.1 of “Australia - Estimated Pre1750 Major Vegetation Groups - NVIS Version 4.1 (Albers 100m analysis product)” developed by the Australian Government Department of the Environment and collaborating State agencies. A kernel regression was used with c.155,000 locations of training classes for the 77 MVS classes attributed with 17 GDM-scaled environmental predictors for Vascular Plants representing baseline ecological environments. The training class data input to the kernel regression is provided with this package. The GDM-scaled environmental predictors are available with the “VAS_v5_r11” data package. Using the 1990 baseline training MVS class data, and without constraining the prediction to pre-existing map boundaries, the kernel regression projected to 2050 the distribution of the 77 Major Vegetation Sub-groups using 2050-centred (30 year average) future climates derived from the MIROC5 global climate model for the emission scenario defined by a representative concentration pathway of 8.5. The kernel regression generates unconstrained probabilities varying in the range from 0 and up to 1 for each of the 77 MVS classes. 

The data are provided as 9-second (approximately 250m), ESRI binary float grid format in GDA94. Each class is denoted “UNCON###”, where the number refers to the code originally assigned to that MVS class by the supplier. A lookup table linking the MVS classes to the output codes and descriptive title is provided. Generalised representations of the vegetation classes derived from the individual class probabilities as the maximum probability in any grid cell are provided separately (see related information). 

There are three dataset packages in this series: 1) 1990 predictions of MVS classes; 2) 2050 CanESM2 RCP 8.5 predictions of MVS classes; 3) 2050 MIROC5 RCP 8.5 predictions of MVS classes. 

This dataset series and its use is described in the AdaptNRM Guide “Helping biodiversity adapt to climate change: a community-level modelling approach”, available online at: www.adaptnrm.org