cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.58119/ulg/uowrsl/6yinyq
title: mp-10485-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/yzrwdd
title: gFr-mp-15556-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/hyzgup
title: mp-567373-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/t6qelb
title: gFr-mp-6459-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/lfjkgk
title: gFr-mp-541226-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/cup5kf
title: gFr-mp-20282-conduction.dat

description: :unav
DOI: 10.17632/9x9h7fr4kn.8
title: Data, software and scripts related to the Process PLS methodology manuscript

description: Process PLS repository including software implentations, data and scripts. 

Repository contains:
- R package pathmodelr (See README.txt for installation guide) (GPLv3)
- Matlab library
- Simulated data of a crude oil distillation process (with scripts to reproduce the results) (CC-BY)
- R code for the Val de Loire wine tasting analysis (CC-BY)


New in v2: PDF with helpfile to understand the model output

New in v4: Matlab implementation

New in v8: - Val de Loir analysis file includes function to rename the Process PLS output in R and a function to provide the outer-model R2 values of each block in a simple manner.
Also added the renaming function separately to 'software folder'


Process PLS is a path modelling algorithm for multiblock data. First described in:
van Kollenburg et al. Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data"  https://doi.org/10.1016/j.compchemeng.2021.107466
DOI: 10.58119/ulg/uowrsl/7uxbqj
title: gFr-mp-675902-conduction.dat

description: :unav
DOI: 10.17632/9x9h7fr4kn.4
title: Process PLS software (R, Matlab), data and demos

description: Data and software related to the paper "van Kollenburg et al. Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data"  https://doi.org/10.1016/j.compchemeng.2021.107466
New in v2: PDF with helpfile to understand the model output

- R package pathmodelr (See README.txt for installation guide) (GPLv3)
- Simulated data of a crude oil distillation process (with scripts to reproduce the results) (CC-BY)
- R code for the Val de Loire wine tasting analysis (CC-BY)
DOI: 10.17632/9x9h7fr4kn.5
title: Data, software and scripts related to the Process PLS methodology manuscript

description: Data and software related to the paper "van Kollenburg et al. Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data"  https://doi.org/10.1016/j.compchemeng.2021.107466

contains:
- R package pathmodelr (See README.txt for installation guide) (GPLv3)
- Matlab library
- Simulated data of a crude oil distillation process (with scripts to reproduce the results) (CC-BY)
- R code for the Val de Loire wine tasting analysis (CC-BY)


New in v2: PDF with helpfile to understand the model output

New in v4: Matlab implementation
DOI: 10.17632/9x9h7fr4kn.6
title: Data, software and scripts related to the Process PLS methodology manuscript

description: Data and software related to the paper "van Kollenburg et al. Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data"  https://doi.org/10.1016/j.compchemeng.2021.107466

contains:
- R package pathmodelr (See README.txt for installation guide) (GPLv3)
- Matlab library
- Simulated data of a crude oil distillation process (with scripts to reproduce the results) (CC-BY)
- R code for the Val de Loire wine tasting analysis (CC-BY)


New in v2: PDF with helpfile to understand the model output

New in v4: Matlab implementation
DOI: 10.17632/9x9h7fr4kn.7
title: Data, software and scripts related to the Process PLS methodology manuscript

description: Process PLS repository including software implentations, data and scripts. 

Repository contains:
- R package pathmodelr (See README.txt for installation guide) (GPLv3)
- Matlab library
- Simulated data of a crude oil distillation process (with scripts to reproduce the results) (CC-BY)
- R code for the Val de Loire wine tasting analysis (CC-BY)


New in v2: PDF with helpfile to understand the model output

New in v4: Matlab implementation

New in v7: - Val de Loir analysis file includes function to rename the Process PLS output in R and a function to provide the outer-model R2 values of each block in a simple manner.
- Changed the name of the repository

Process PLS is a path modelling algorithm for multiblock data. First described in:
van Kollenburg et al. Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data"  https://doi.org/10.1016/j.compchemeng.2021.107466
DOI: 10.17632/9x9h7fr4kn.9
title: Data, software and scripts related to the Process PLS methodology manuscript

description: Process PLS repository including software implentations, data and scripts. 

Repository contains:
- R package pathmodelr (See README.txt for installation guide) (GPLv3)
- Matlab library
- Link to Python implementation (here: https://doi.org/10.5281/zenodo.7074754)
- Simulated data of a crude oil distillation process (with scripts to reproduce the results) (CC-BY)
- R code for the Val de Loire wine tasting analysis (CC-BY)


New in v2: PDF with helpfile to understand the model output

New in v4: Matlab implementation

New in v8: - Val de Loir analysis file includes function to rename the Process PLS output in R and a function to provide the outer-model R2 values of each block in a simple manner.
Also added the renaming function separately to 'software folder'

New in V9: - Python Implementation (link: https://doi.org/10.5281/zenodo.7074754)

Process PLS is a path modelling algorithm for multiblock data. First described in:
van Kollenburg et al. Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data"  https://doi.org/10.1016/j.compchemeng.2021.107466
DOI: 10.17632/9x9h7fr4kn.1
title: Data, software and scripts related to the Process PLS methodology manuscript

description: Shareable content related to the paper "van Kollenburg et al. Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data" Preprint at: www.tinyurl.com/ProcessPLS - R package pathmodelr (See README.txt for installation guide) (GPLv3) - Simulated data of a crude oil distillation process (with scripts to reproduce the results) (CC-BY) - R code for the Val de Loire wine tasting analysis (CC-BY)
DOI: 10.17632/9x9h7fr4kn.2
title: Data, software and scripts related to the Process PLS methodology manuscript

description: Data and software related to the paper "van Kollenburg et al. Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data"  https://doi.org/10.1016/j.compchemeng.2021.107466
New in v2: PDF with helpfile to understand the model output

- R package pathmodelr (See README.txt for installation guide) (GPLv3)
- Simulated data of a crude oil distillation process (with scripts to reproduce the results) (CC-BY)
- R code for the Val de Loire wine tasting analysis (CC-BY)
DOI: 10.17632/9x9h7fr4kn.3
title: Data, software and scripts related to the Process PLS methodology manuscript

description: Data and software related to the paper "van Kollenburg et al. Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data"  https://doi.org/10.1016/j.compchemeng.2021.107466
New in v2: PDF with helpfile to understand the model output

- R package pathmodelr (See README.txt for installation guide) (GPLv3)
- Simulated data of a crude oil distillation process (with scripts to reproduce the results) (CC-BY)
- R code for the Val de Loire wine tasting analysis (CC-BY)
DOI: 10.58119/ulg/uowrsl/9ono0g
title: gFr-mp-867193-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/viod18
title: gFr-mp-15668-conduction.dat

description: :unav
DOI: 10.5066/p9jf4owb
title: Geospatial Datasets of Water Surface Elevation and Water Depth in New York City, NY Associated with the Remnants of Hurricane Ida &amp;amp;ndash; September 1, 2021

description: The remnants of Hurricane Ida produced significant rainfall over the five boroughs of New York City (NYC) for several hours on September 1st, 2021. The long-duration, high-intensity rainfall resulted in extensive inundation of streets, buildings, subways, and other public spaces. In response to a Federal Emergency Management Agency (FEMA) mission assignment, the U.S. Geological Survey (USGS) identified and surveyed high-water marks (HWMs) at 83 locations across NYC to document the peak water elevation in impacted areas (Capurso and others, 2023). This data release contains maps of water-depth and inundation extents for areas within 250 meters of surveyed HWM locations. These depth maps assume a constant water-surface elevation across the landscape around each HWM and show where potential inundation may have occurred during the rainfall event. The water depth data is presented as tiff files (raster format), in feet above land-surface elevation (Quantum Spatial, 2018) and above or below the 1st�floor elevation of buildings (Department of City Planning (DCP), 2023). Users are advised to read the related external resources below and processing steps within the metadata file to better understand the limitations of these data. � This data is accessible as an online webmap:� https://usgs.maps.arcgis.com/apps/mapviewer/index.html?webmap=43dd2a6725d84dc7b72ee54a74be47e8
DOI: 10.58119/ulg/uowrsl/aazanr
title: mp-553303-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/swuksi
title: gFr-mp-10408-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/vaigdn
title: mp-8062-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/3bud0s
title: gFr-mp-561827-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/47nvsl
title: gFr-mp-3595-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/osipeh
title: gFr-mp-29364-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/ncei2b
title: mp-1672-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/rm80bo
title: gFr-mp-6450-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/adcsid
title: gFr-mp-8861-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/fphzff
title: gFr-mp-35777-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/vgoiwq
title: gFr-mp-961657-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/3cacg0
title: gFr-mp-996943-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/g30p8s
title: gFr-mp-1106-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/rztvv4
title: mp-4047-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/kxwwhs
title: gFr-mp-22905-conduction.dat

description: :unav
DOI: 10.17632/3xxksvwbnr.1
title: Dataset gut microflora of mice after treatment by CC-195 and cefazolin

description: This data was obtained to assess changes in the composition of the intestinal microbiomes of laboratory mice during combinatorial therapy for experimentally developed acute pneumonia, using cefazolin and the iodine-containing complex CC-195.
DOI: 10.58119/ulg/uowrsl/20lyo6
title: gFr-mp-23861-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/obmk50
title: mp-8256-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/ez443x
title: mp-768368-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/avd4ix
title: gFr-mp-7469-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/s1zr5n
title: mp-8298-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/rsmq8r
title: mp-9731-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/qiwzol
title: mp-9562-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/iqq368
title: gFr-mp-14206-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/5907wh
title: mp-754596-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/wjtpes
title: mp-998198-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/tjqut8
title: mp-8789-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/gxh2kb
title: gFr-mp-1266-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/zheyca
title: mp-4385-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/0be7z2
title: gFr-mp-11695-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/2hxiin
title: gFr-mp-20329-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/bw84em
title: mp-1009819-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/ehjcb9
title: gFr-mp-7457-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/dyk1rs
title: mp-553875-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/zzc6ik
title: gFr-mp-29209-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/rrf6xl
title: gFr-mp-1008223-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/1qgfm9
title: gFr-mp-30004-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/vp0m0o
title: gFr-mp-541989-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/kontkh
title: gFr-mp-1958-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/ehjegv
title: gFr-mp-1002124-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/poazmu
title: gFr-mp-7470-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/d1aonw
title: gFr-mp-989643-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/ok8vz0
title: gFr-mp-989571-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/qo9vu0
title: mp-998552-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/0ckdts
title: gFr-mp-10219-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/pltji3
title: gFr-mp-20351-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/iysp9b
title: gFr-mp-20790-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/ler6pb
title: mp-9672-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/zutcj3
title: gFr-mp-12442-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/okqfir
title: mp-573721-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/apaejz
title: gFr-mp-2697-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/uewmcc
title: gFr-mp-553310-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/ml37aq
title: mp-1778-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/bbvd7c
title: mp-9821-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/wiayim
title: mp-7572-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/usab7p
title: gFr-mp-774907-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/g0peca
title: gFr-mp-27421-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/i1paga
title: mp-9571-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/72a0sh
title: gFr-mp-1287-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/knfgfr
title: mp-3614-data-per-mode-conduction.dat

description: :unav
DOI: 10.17632/5c9k7rw5hk.1
title: Hungarian indigenous Tsigai, a promising breed for excellent heat tolerance and immunity, based on the seasonal gene expression study

description: Seasonal expression of HSP70, IL10, TLR2, TLR4, and TLR8 inTsigai, Hungarian Merino, and White Dorper sheep
DOI: 10.58119/ulg/uowrsl/34v6ta
title: gFr-mp-6930-conduction.dat

description: :unav
DOI: 10.6084/m9.figshare.3565710
title: Index Files

description: Index Files
DOI: 10.6084/m9.figshare.3565710.v1
title: Index Files

description: Index Files
DOI: 10.6084/m9.figshare.3565707
title: Appendix A. Percentage abundance of pollen and spores of major plant taxa, Core 00-3-7-1, collected on Strand Island 1, A.R.M. Loxahatchee National Wildlife Refuge, Florida, USA.

description: Percentage abundance of pollen and spores of major plant taxa, Core 00-3-7-1, collected on Strand Island 1, A.R.M. Loxahatchee National Wildlife Refuge, Florida, USA.
DOI: 10.6084/m9.figshare.3565707.v1
title: Appendix A. Percentage abundance of pollen and spores of major plant taxa, Core 00-3-7-1, collected on Strand Island 1, A.R.M. Loxahatchee National Wildlife Refuge, Florida, USA.

description: Percentage abundance of pollen and spores of major plant taxa, Core 00-3-7-1, collected on Strand Island 1, A.R.M. Loxahatchee National Wildlife Refuge, Florida, USA.
DOI: 10.6084/m9.figshare.3565704
title: Appendix B. Percentage abundance of pollen and spores of major plant taxa, Core 02-5-20-4, collected in the marsh adjacent to Strand Island 2, A.R.M. Loxahatchee National Wildlife Refuge, Florida, USA.

description: Percentage abundance of pollen and spores of major plant taxa, Core 02-5-20-4, collected in the marsh adjacent to Strand Island 2, A.R.M. Loxahatchee National Wildlife Refuge, Florida, USA.
DOI: 10.6084/m9.figshare.3565704.v1
title: Appendix B. Percentage abundance of pollen and spores of major plant taxa, Core 02-5-20-4, collected in the marsh adjacent to Strand Island 2, A.R.M. Loxahatchee National Wildlife Refuge, Florida, USA.

description: Percentage abundance of pollen and spores of major plant taxa, Core 02-5-20-4, collected in the marsh adjacent to Strand Island 2, A.R.M. Loxahatchee National Wildlife Refuge, Florida, USA.
DOI: 10.6084/m9.figshare.3565701
title: Appendix C. Percentage abundance of pollen and spores of major plant taxa, Core 01-8-8-4, collected in the near tail of Tree Island T3, Water Conservation Area 2A, Florida, USA.

description: Percentage abundance of pollen and spores of major plant taxa, Core 01-8-8-4, collected in the near tail of Tree Island T3, Water Conservation Area 2A, Florida, USA.
DOI: 10.6084/m9.figshare.3565701.v1
title: Appendix C. Percentage abundance of pollen and spores of major plant taxa, Core 01-8-8-4, collected in the near tail of Tree Island T3, Water Conservation Area 2A, Florida, USA.

description: Percentage abundance of pollen and spores of major plant taxa, Core 01-8-8-4, collected in the near tail of Tree Island T3, Water Conservation Area 2A, Florida, USA.
DOI: 10.6084/m9.figshare.3565698
title: Appendix D. Percentage abundance of pollen and spores of major plant taxa, Core 01-8-8-5, collected in the marsh adjacent to Tree Island T3, Water Conservation Area 2A, Florida, USA.

description: Percentage abundance of pollen and spores of major plant taxa, Core 01-8-8-5, collected in the marsh adjacent to Tree Island T3, Water Conservation Area 2A, Florida, USA.
DOI: 10.6084/m9.figshare.3565698.v1
title: Appendix D. Percentage abundance of pollen and spores of major plant taxa, Core 01-8-8-5, collected in the marsh adjacent to Tree Island T3, Water Conservation Area 2A, Florida, USA.

description: Percentage abundance of pollen and spores of major plant taxa, Core 01-8-8-5, collected in the marsh adjacent to Tree Island T3, Water Conservation Area 2A, Florida, USA.
DOI: 10.6084/m9.figshare.3565695
title: Appendix E. Percentage abundance of pollen and spores of major plant taxa, Core 99-3-3-2, collected in the marsh adjacent to Treece’s Island, Water Conservation Area 2A, Florida, USA.

description: Percentage abundance of pollen and spores of major plant taxa, Core 99-3-3-2, collected in the marsh adjacent to Treece’s Island, Water Conservation Area 2A, Florida, USA.
DOI: 10.6084/m9.figshare.3565695.v1
title: Appendix E. Percentage abundance of pollen and spores of major plant taxa, Core 99-3-3-2, collected in the marsh adjacent to Treece’s Island, Water Conservation Area 2A, Florida, USA.

description: Percentage abundance of pollen and spores of major plant taxa, Core 99-3-3-2, collected in the marsh adjacent to Treece’s Island, Water Conservation Area 2A, Florida, USA.
DOI: 10.6084/m9.figshare.3565692
title: Appendix F. Percentage abundance of pollen and spores of major plant taxa, Core 00-3-8-1, collected in the head of L67 Colony Island, Water Conservation Area 3A, Florida, USA.

description: Percentage abundance of pollen and spores of major plant taxa, Core 00-3-8-1, collected in the head of L67 Colony Island, Water Conservation Area 3A, Florida, USA.
DOI: 10.6084/m9.figshare.3565692.v1
title: Appendix F. Percentage abundance of pollen and spores of major plant taxa, Core 00-3-8-1, collected in the head of L67 Colony Island, Water Conservation Area 3A, Florida, USA.

description: Percentage abundance of pollen and spores of major plant taxa, Core 00-3-8-1, collected in the head of L67 Colony Island, Water Conservation Area 3A, Florida, USA.
DOI: 10.6084/m9.figshare.3565689
title: Appendix G. Percentage abundance of pollen and spores of major plant taxa, Core 00-3-9-7, collected in the near tail of Tree Island 3AS3, Water Conservation Area 3A, Florida, USA.

description: Percentage abundance of pollen and spores of major plant taxa, Core 00-3-9-7, collected in the near tail of Tree Island 3AS3, Water Conservation Area 3A, Florida, USA.
DOI: 10.6084/m9.figshare.3565689.v1
title: Appendix G. Percentage abundance of pollen and spores of major plant taxa, Core 00-3-9-7, collected in the near tail of Tree Island 3AS3, Water Conservation Area 3A, Florida, USA.

description: Percentage abundance of pollen and spores of major plant taxa, Core 00-3-9-7, collected in the near tail of Tree Island 3AS3, Water Conservation Area 3A, Florida, USA.
DOI: 10.6084/m9.figshare.3565686
title: Appendix H. Percentage abundance of pollen and spores of major plant taxa, Core 98-4-23, collected in the near tail of Skinner’s Island, Water Conservation Area 3A, Florida, USA.

description: Percentage abundance of pollen and spores of major plant taxa, Core 98-4-23, collected in the near tail of Skinner’s Island, Water Conservation Area 3A, Florida, USA.
DOI: 10.6084/m9.figshare.3565683
title: Appendix I. Percentage abundance of pollen and spores of major plant taxa, Core 98-4-21-NHH, collected on the head of Nuthouse Island, Water Conservation Area 3B, Florida, USA.

description: Percentage abundance of pollen and spores of major plant taxa, Core 98-4-21-NHH, collected on the head of Nuthouse Island, Water Conservation Area 3B, Florida, USA.
DOI: 10.6084/m9.figshare.3565686.v1
title: Appendix H. Percentage abundance of pollen and spores of major plant taxa, Core 98-4-23, collected in the near tail of Skinner’s Island, Water Conservation Area 3A, Florida, USA.

description: Percentage abundance of pollen and spores of major plant taxa, Core 98-4-23, collected in the near tail of Skinner’s Island, Water Conservation Area 3A, Florida, USA.
DOI: 10.6084/m9.figshare.3565683.v1
title: Appendix I. Percentage abundance of pollen and spores of major plant taxa, Core 98-4-21-NHH, collected on the head of Nuthouse Island, Water Conservation Area 3B, Florida, USA.

description: Percentage abundance of pollen and spores of major plant taxa, Core 98-4-21-NHH, collected on the head of Nuthouse Island, Water Conservation Area 3B, Florida, USA.
DOI: 10.6084/m9.figshare.3565680
title: Appendix J. Percentage abundance of pollen and spores of major plant taxa, Core 98-4-21-GLFT, collected in the far tail of Gumbo Limbo Island, Water Conservation Area 3B, Florida, USA.

description: Percentage abundance of pollen and spores of major plant taxa, Core 98-4-21-GLFT, collected in the far tail of Gumbo Limbo Island, Water Conservation Area 3B, Florida, USA.