cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9792092.v2
title: Greenhouse gas emissions from SE QLD estuaries

description: Data associated with the, “Unravelling the drivers of greenhouse gas emissions in estuaries” project, funded by ARC Linkage Grant LP150100519. <br> Contact Naomi Wells (naomi.wells@scu.edu.au) if you have any questions or queries about the data. Project Team: Bradley Eyre, Matt Hipsey, Badin Gibbs, Dirk Erler, Damien Maher, Naomi Wells, Peisheng Huang, Jian-Jhih Chen (Kenji) <br> Description: <br><br>1) Data is from surface water surveys carried out in eight estuaries in SE Queensland, Australia in 03/2016 (wet season) and 10/2016 (dry season). The estuaries are labelled as No (Noosa River Estuary), Ma (Maroochy River Estuary), Mo (Mooloolah River Estuary), Ca (Caboolture River Estuary), Pi (Pine River Estuary), Br (Brisbane River Estuary, including Oxley Creek, Ox), Lo and Al (Logan/Albert Rivers Estuary), and Ne (Nerang River Estuary). <br><br>2) Data is from ex-situ incubations of intact sediment cores (0-20 cm) from three SE QLD estuary (Noosa River Estuary, Maroochy River Estuary, and Brisbane River Estuary). Cores were collected every ~three months (Dec 2016, Feb 2017, May 2017 & Aug 2017). Incubations were carried out with site water and conditions, and nutrient (NH4+, NO3-, PO43-) and gas (O2, CH4, N2O) fluxes between sediments and surface waters measured over a 12 h dark-light cycle. Cores were collected from different habitats within each estuary: bare mud upstream (S1), bare sand downstream (S2), bare mud downstream (S3), macroalgae vegetation (V1), seagrass Halophila (V2), or seagrass Zostera (V3). <br> <br> <br>Publications associated with this data: <br>Wells, N. S., Erler, D. V., Maher, D. T., Rosentreter, J., Hipsey, M. R., & Eyre, B. D. (2018). Estuaries as sources and sinks of N2O across a land‐use gradient in subtropical Australia Global Biogeochemical Cycles, 32, 877-894. doi:https://doi.org/10.1029/2017GB005826 <br>Wells, N. S., & Eyre, B. D. (2019). δ15N patterns in three sub-tropical estuaries show switch from nitrogen ‘reactors’ to ‘pipes’ as degradation increases. Limnology and Oceanography, 64, 860-876. doi:doi: 10.1002/lno.11080 <br>Chen, J.-J., Wells, N. S., Erler, D. V. & Eyre, B. D. 2019. Importance of habitat diversity in benthic metabolism changes over land-use gradients: evidence from three sub-tropical estuaries. Marine Ecology Progress Series, 631, 31-47.<br><br>Wells, N.S., Maher, D.T., Huang, P., Erler, D.V., Maxwell, P., Hipsey, M.R. and Eyre, B.D. (2020) Land-use intensity alters both the source and fate of CO2 within eight sub-tropical estuaries. Geochim Cosmochim Ac 268, 107-122.<br><br>Wells, N.S., Chen, J-J, Maher, D.T., Huang, P., Erler, D.V., Hipsey, M.R., Eyre, B.D. (in review). Changing sediment and surface water processes increase CH4 emissions from human-impacted estuaries. Geochim Cosmochim Ac<br> <br> Chen, J.-J., Erler, D.V., Wells, N.S., Huang, J., Welsh, D.T. and Eyre, B.D. (2021) Denitrification, anammox, and dissimilatory nitrate reduction to ammonium across a mosaic of estuarine benthic habitats. Limnol. Oceanogr. n/a.<br><br>
DOI: 10.6084/m9.figshare.9792092
title: Greenhouse gas emissions from SE QLD estuaries

description: Data associated with the, “Unravelling the drivers of greenhouse gas emissions in estuaries” project, funded by ARC Linkage Grant LP150100519. <br> Contact Naomi Wells (naomi.wells@scu.edu.au) if you have any questions or queries about the data. Project Team: Bradley Eyre, Matt Hipsey, Badin Gibbs, Dirk Erler, Damien Maher, Naomi Wells, Peisheng Huang, Jian-Jhih Chen (Kenji) <br> Description: <br><br>1) Data is from surface water surveys carried out in eight estuaries in SE Queensland, Australia in 03/2016 (wet season) and 10/2016 (dry season). The estuaries are labelled as No (Noosa River Estuary), Ma (Maroochy River Estuary), Mo (Mooloolah River Estuary), Ca (Caboolture River Estuary), Pi (Pine River Estuary), Br (Brisbane River Estuary, including Oxley Creek, Ox), Lo and Al (Logan/Albert Rivers Estuary), and Ne (Nerang River Estuary). <br><br>2) Data is from ex-situ incubations of intact sediment cores (0-20 cm) from three SE QLD estuary (Noosa River Estuary, Maroochy River Estuary, and Brisbane River Estuary). Cores were collected every ~three months (Dec 2016, Feb 2017, May 2017 & Aug 2017). Incubations were carried out with site water and conditions, and nutrient (NH4+, NO3-, PO43-) and gas (O2, CH4, N2O) fluxes between sediments and surface waters measured over a 12 h dark-light cycle. Cores were collected from different habitats within each estuary: bare mud upstream (S1), bare sand downstream (S2), bare mud downstream (S3), macroalgae vegetation (V1), seagrass Halophila (V2), or seagrass Zostera (V3). <br> <br> <br>Publications associated with this data: <br>Wells, N. S., Erler, D. V., Maher, D. T., Rosentreter, J., Hipsey, M. R., & Eyre, B. D. (2018). Estuaries as sources and sinks of N2O across a land‐use gradient in subtropical Australia Global Biogeochemical Cycles, 32, 877-894. doi:https://doi.org/10.1029/2017GB005826 <br>Wells, N. S., & Eyre, B. D. (2019). δ15N patterns in three sub-tropical estuaries show switch from nitrogen ‘reactors’ to ‘pipes’ as degradation increases. Limnology and Oceanography, 64, 860-876. doi:doi: 10.1002/lno.11080 <br>Chen, J.-J., Wells, N. S., Erler, D. V. & Eyre, B. D. 2019. Importance of habitat diversity in benthic metabolism changes over land-use gradients: evidence from three sub-tropical estuaries. Marine Ecology Progress Series, 631, 31-47.<br><br>Wells, N.S., Maher, D.T., Huang, P., Erler, D.V., Maxwell, P., Hipsey, M.R. and Eyre, B.D. (2020) Land-use intensity alters both the source and fate of CO2 within eight sub-tropical estuaries. Geochim Cosmochim Ac 268, 107-122.<br><br>Wells, N.S., Chen, J-J, Maher, D.T., Huang, P., Erler, D.V., Hipsey, M.R., Eyre, B.D. (in review). Changing sediment and surface water processes increase CH4 emissions from human-impacted estuaries. Geochim Cosmochim Ac<br> <br> Chen, J.-J., Erler, D.V., Wells, N.S., Huang, J., Welsh, D.T. and Eyre, B.D. (2021) Denitrification, anammox, and dissimilatory nitrate reduction to ammonium across a mosaic of estuarine benthic habitats. Limnol. Oceanogr. n/a.<br><br>
DOI: 10.6084/m9.figshare.9792092.v4
title: Greenhouse gas emissions from SE QLD estuaries

description: Data associated with the, “Unravelling the drivers of greenhouse gas emissions in estuaries” project, funded by ARC Linkage Grant LP150100519. <br> Contact Naomi Wells (naomi.wells@scu.edu.au) if you have any questions or queries about the data. Project Team: Bradley Eyre, Matt Hipsey, Badin Gibbs, Dirk Erler, Damien Maher, Naomi Wells, Peisheng Huang, Jian-Jhih Chen (Kenji) <br> Description: <br><br>1) Data is from surface water surveys carried out in eight estuaries in SE Queensland, Australia in 03/2016 (wet season) and 10/2016 (dry season). The estuaries are labelled as No (Noosa River Estuary), Ma (Maroochy River Estuary), Mo (Mooloolah River Estuary), Ca (Caboolture River Estuary), Pi (Pine River Estuary), Br (Brisbane River Estuary, including Oxley Creek, Ox), Lo and Al (Logan/Albert Rivers Estuary), and Ne (Nerang River Estuary). <br><br>2) Data is from ex-situ incubations of intact sediment cores (0-20 cm) from three SE QLD estuary (Noosa River Estuary, Maroochy River Estuary, and Brisbane River Estuary). Cores were collected every ~three months (Dec 2016, Feb 2017, May 2017 & Aug 2017). Incubations were carried out with site water and conditions, and nutrient (NH4+, NO3-, PO43-) and gas (O2, CH4, N2O) fluxes between sediments and surface waters measured over a 12 h dark-light cycle. Cores were collected from different habitats within each estuary: bare mud upstream (S1), bare sand downstream (S2), bare mud downstream (S3), macroalgae vegetation (V1), seagrass Halophila (V2), or seagrass Zostera (V3). <br> <br> <br>Publications associated with this data: <br>Wells, N. S., Erler, D. V., Maher, D. T., Rosentreter, J., Hipsey, M. R., & Eyre, B. D. (2018). Estuaries as sources and sinks of N2O across a land‐use gradient in subtropical Australia Global Biogeochemical Cycles, 32, 877-894. doi:https://doi.org/10.1029/2017GB005826 <br>Wells, N. S., & Eyre, B. D. (2019). δ15N patterns in three sub-tropical estuaries show switch from nitrogen ‘reactors’ to ‘pipes’ as degradation increases. Limnology and Oceanography, 64, 860-876. doi:doi: 10.1002/lno.11080 <br>Chen, J.-J., Wells, N. S., Erler, D. V. & Eyre, B. D. 2019. Importance of habitat diversity in benthic metabolism changes over land-use gradients: evidence from three sub-tropical estuaries. Marine Ecology Progress Series, 631, 31-47.<br><br>Wells, N.S., Maher, D.T., Huang, P., Erler, D.V., Maxwell, P., Hipsey, M.R. and Eyre, B.D. (2020) Land-use intensity alters both the source and fate of CO2 within eight sub-tropical estuaries. Geochim Cosmochim Ac 268, 107-122.<br><br>Wells, N.S., Chen, J-J, Maher, D.T., Huang, P., Erler, D.V., Hipsey, M.R., Eyre, B.D. (in review). Changing sediment and surface water processes increase CH4 emissions from human-impacted estuaries. Geochim Cosmochim Ac<br> <br> Chen, J.-J., Erler, D.V., Wells, N.S., Huang, J., Welsh, D.T. and Eyre, B.D. (2021) Denitrification, anammox, and dissimilatory nitrate reduction to ammonium across a mosaic of estuarine benthic habitats. Limnol. Oceanogr. n/a.<br><br>
DOI: 10.6084/m9.figshare.9792092.v3
title: Greenhouse gas emissions from SE QLD estuaries

description: Data associated with the, “Unravelling the drivers of greenhouse gas emissions in estuaries” project, funded by ARC Linkage Grant LP150100519. <br> Contact Naomi Wells (naomi.wells@scu.edu.au) if you have any questions or queries about the data. Project Team: Bradley Eyre, Matt Hipsey, Badin Gibbs, Dirk Erler, Damien Maher, Naomi Wells, Peisheng Huang, Jian-Jhih Chen (Kenji) <br> Description: <br><br>1) Data is from surface water surveys carried out in eight estuaries in SE Queensland, Australia in 03/2016 (wet season) and 10/2016 (dry season). The estuaries are labelled as No (Noosa River Estuary), Ma (Maroochy River Estuary), Mo (Mooloolah River Estuary), Ca (Caboolture River Estuary), Pi (Pine River Estuary), Br (Brisbane River Estuary, including Oxley Creek, Ox), Lo and Al (Logan/Albert Rivers Estuary), and Ne (Nerang River Estuary). <br><br>2) Data is from ex-situ incubations of intact sediment cores (0-20 cm) from three SE QLD estuary (Noosa River Estuary, Maroochy River Estuary, and Brisbane River Estuary). Cores were collected every ~three months (Dec 2016, Feb 2017, May 2017 & Aug 2017). Incubations were carried out with site water and conditions, and nutrient (NH4+, NO3-, PO43-) and gas (O2, CH4, N2O) fluxes between sediments and surface waters measured over a 12 h dark-light cycle. Cores were collected from different habitats within each estuary: bare mud upstream (S1), bare sand downstream (S2), bare mud downstream (S3), macroalgae vegetation (V1), seagrass Halophila (V2), or seagrass Zostera (V3). <br> <br> <br>Publications associated with this data: <br>Wells, N. S., Erler, D. V., Maher, D. T., Rosentreter, J., Hipsey, M. R., & Eyre, B. D. (2018). Estuaries as sources and sinks of N2O across a land‐use gradient in subtropical Australia Global Biogeochemical Cycles, 32, 877-894. doi:https://doi.org/10.1029/2017GB005826 <br>Wells, N. S., & Eyre, B. D. (2019). δ15N patterns in three sub-tropical estuaries show switch from nitrogen ‘reactors’ to ‘pipes’ as degradation increases. Limnology and Oceanography, 64, 860-876. doi:doi: 10.1002/lno.11080 <br>Chen, J.-J., Wells, N. S., Erler, D. V. & Eyre, B. D. 2019. Importance of habitat diversity in benthic metabolism changes over land-use gradients: evidence from three sub-tropical estuaries. Marine Ecology Progress Series, 631, 31-47.<br><br>Wells, N.S., Maher, D.T., Huang, P., Erler, D.V., Maxwell, P., Hipsey, M.R. and Eyre, B.D. (2020) Land-use intensity alters both the source and fate of CO2 within eight sub-tropical estuaries. Geochim Cosmochim Ac 268, 107-122.<br><br>Wells, N.S., Chen, J-J, Maher, D.T., Huang, P., Erler, D.V., Hipsey, M.R., Eyre, B.D. (in review). Changing sediment and surface water processes increase CH4 emissions from human-impacted estuaries. Geochim Cosmochim Ac<br> <br> Chen, J.-J., Erler, D.V., Wells, N.S., Huang, J., Welsh, D.T. and Eyre, B.D. (2021) Denitrification, anammox, and dissimilatory nitrate reduction to ammonium across a mosaic of estuarine benthic habitats. Limnol. Oceanogr. n/a.<br><br>
DOI: 10.6073/pasta/2ac1c68546e15523e8e4b8f64ac6c46b
title: Jornada Basin LTER: Wireless meteorological station at NPP P-TOBO site: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at NPP P-TOBO met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every 30 minutes at an automated meteorological station installed at Jornada LTER NPP P-TOBO site. Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths. This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.21685991
title: A critical role of the periplasm in copper homeostasis in Gram-negative bacteria

description: Data from: Jun-ichi Ishihara, Tomohiro Mekubo, Chikako Kusaka, Suguru Kondo, Ryotaro Oiko, Kensuke Igarashi, Hirofumi Aiba, Shu Ishikawa, Naotake Ogasawara, Taku Oshima and Hiroki Takahashi. 2022.
DOI: 10.6084/m9.figshare.21685991.v1
title: A critical role of the periplasm in copper homeostasis in Gram-negative bacteria

description: Data from: Jun-ichi Ishihara, Tomohiro Mekubo, Chikako Kusaka, Suguru Kondo, Ryotaro Oiko, Kensuke Igarashi, Hirofumi Aiba, Shu Ishikawa, Naotake Ogasawara, Taku Oshima and Hiroki Takahashi. 2022.
DOI: 10.6073/pasta/16241e0666d3376a83618164ba277b48
title: Jornada Basin LTER: Wireless meteorological station at NPP P-TOBO site: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily average of 30-minute Volumetric Water Content at NPP P-TOBO met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured and calculated at an automated meteorological station installed at Jornada LTER NPP P-TOBO site. The daily average at 3 soil depths is calculated from measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm. This is an ONGOING dataset.
DOI: 10.26186/147528
title: East Tasmania Magnetic and Radiometric Survey, TAS, 2022, (P5020), dose rate - total grid

description: The radiometric, or gamma-ray spectrometric method, measures the natural variations in the gamma-rays detected near the Earth's surface as the result of the natural radioactive decay of potassium (K), uranium (U) and thorium (Th). The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. The total dose rate is due to natural sources of radiation and is computed by adding estimates of cosmic dose at ground level to the terrestrial dose. The terrestrial dose rate grid is derived as a linear combination of the filtered K, U and Th grids. A low pass filter is applied to this grid to generate the filtered total dose rate grid. This East Tasmania Magnetic and Radiometric Survey, TAS, 2022, (P5020), dose rate - total grid has a cell size of degrees (approximately 40m) and shows the total dose rate of the East Tasmania Magnetic and Radiometric Survey, 2022 survey. The data used to produce this grid was acquired in 2022 by the TAS Government, and consisted of 57178 line-kilometres of data at 200m line spacing and 80m terrain clearance.
DOI: 10.26186/147526
title: East Tasmania Magnetic and Radiometric Survey, TAS, 2022, (P5020), U equivalent ground concentration grid

description: The radiometric, or gamma-ray spectrometric method, measures the natural variations in the gamma-rays detected near the Earth's surface as the result of the natural radioactive decay of potassium (K), uranium (U) and thorium (Th). The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This radiometric uranium grid has a cell size of degrees (approximately 40m) and shows uranium element concentration of the East Tasmania Magnetic and Radiometric Survey, 2022 in units of parts per million (or ppm). The data used to produce this grid was acquired in 2022 by the TAS Government, and consisted of 57178 line-kilometres of data at 200m line spacing and 80m terrain clearance.
DOI: 10.26186/147527
title: East Tasmania Magnetic and Radiometric Survey, TAS, 2022, (P5020), Th equivalent ground concentration grid

description: The radiometric, or gamma-ray spectrometric method, measures the natural variations in the gamma-rays detected near the Earth's surface as the result of the natural radioactive decay of potassium (K), uranium (U) and thorium (Th). The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This radiometric thorium grid has a cell size of degrees (approximately 40m) and shows thorium element concentration of the East Tasmania Magnetic and Radiometric Survey, 2022 in units of parts per million (or ppm). The data used to produce this grid was acquired in 2022 by the TAS Government, and consisted of 57178 line-kilometres of data at 200m line spacing and 80m terrain clearance.
DOI: 10.5281/zenodo.5758818
title: PM2.5 composition and VOCs species measured in Tianjin in July-October, 2018

description: This spreadsheet include the concentrations of water-soluble PM2.5 chemical species (sheet 1) and VOCs species (sheet 2) measured at NKUAQS site in July-October 2018 in Tianjin, China. The dataset was used to investigate changes in these species during tropical cyclone days with respect to normal days. Results were analyzed and presented in the paper entitled "Co-Occurrence of Surface O<sub>3</sub>, PM<sub>2.5</sub> Pollution, and Tropical Cyclones in China" (https://doi.org/10.1029/2021JD036310).
DOI: 10.5281/zenodo.5758817
title: PM2.5 composition and VOCs species measured in Tianjin in July-October, 2018

description: This spreadsheet include the concentrations of water-soluble PM2.5 chemical species (sheet 1) and VOCs species (sheet 2) measured at NKUAQS site in July-October 2018 in Tianjin, China. The dataset was used to investigate changes in these species during tropical cyclone days with respect to normal days. Results were analyzed and presented in the paper entitled "Co-Occurrence of Surface O<sub>3</sub>, PM<sub>2.5</sub> Pollution, and Tropical Cyclones in China" (https://doi.org/10.1029/2021JD036310).
DOI: 10.6073/pasta/2348fdab9b89fa59c48a77084a31c8cb
title: Jornada Basin LTER: Wireless meteorological station at NPP T-EAST site: 5-minute summary wind and air temperature data: 2013 - ongoing

description: 5-minute summary data at NPP T-EAST met station. Average air temperature, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP T-EAST site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.5281/zenodo.7407758
title: Observed and deweathered source concentrations of black carbon (BC) in Tianjin, China in 2017-2020

description: This dataset contains 1) the output of a Dispersion Normalized Positive Matrix Factorization (DN-PMF) modeling of a long-term BC dataset measured in Tianjin, China, and 2) the deweathered source contributions of the six identified BC sources.
DOI: 10.6073/pasta/c71057293989754b2337c928e86a840d
title: Jornada Basin LTER: Wireless meteorological station at NPP T-EAST site: Daily summary data: 2013 - ongoing

description: Daily summary data at NPP T-EAST met station. Average/maximum/minimum air temperature; average/maximum relative humidity and wind speed and average wind direction; solar radiation; albedo. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP T-EAST site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Solar radiation is measured at 3m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/19b4af3c0d0eb6091d0e8834c048b8a0
title: Jornada Basin LTER: Wireless meteorological station at NPP T-EAST site: 1-second summary precipitation data: 2013 - ongoing

description: 1-second summary precipitation data at NPP T-EAST met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER NPP T-EAST site.. This climate station is operated by the Jornada LTER Program. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset. Reference the package i.d.'s knb-lter-jrn.210437028, knb-lter-jrn.210437043, and knb-lter-jrn.210437058 for the NPP T-EAST met station 30 minute, hourly, and daily summary datasets, respectively. This is an ONGOING dataset.
DOI: 10.6073/pasta/4cb0349ff6302a568c1f902c2524f451
title: Jornada Basin LTER: Wireless meteorological station at NPP T-EAST site: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at NPP T-EAST met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every 30 minutes at an automated meteorological station installed at Jornada LTER NPP T-EAST site. Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths. This is an ONGOING dataset.
DOI: 10.26180/21687143.v1
title: Table 2a Antecedents of embodiment in PE complete data set

description: Supplementary data to support Table 2 in paper
DOI: 10.6084/m9.figshare.14888988
title: Population and land use data at district level in North Taiwan

description: Main population and land use data for northern Taiwan from 1991 to 2015.
DOI: 10.6084/m9.figshare.14888988.v1
title: Population and land use data at district level in North Taiwan

description: Main population and land use data for northern Taiwan from 1991 to 2015.