Data for: Thermal imaging relative surface temperature as an indicator of plant species diversity and restoration progress

This dataset contains all data used in the manuscript by Hamberg, Fraser, Robinson, Trant and Murphy. The hypotheses is that surface temperature will decrease with increasing vegetation diversity, that native diversity is better at decreasing temperature and that surface temperature will decrease over time in restoration areas. We find support for all three of these hypotheses. The dataset contains one xls-file with multiple sheets. A summary of the sheets are presented below: 1. "LEF_veg_data_by_plot_2007-2018" - Includes all vegetation data used in the manuscript. This is a subset of all vegetation data provided by Nature Conservancy of Canada. Any missing data points have been removed and species richness and diversity only include when species were identified to species level. For the full dataset of all sampling done at the site contact me and I can put you in contact with the appropriate NCC staff to get permission to share. 2. "LEF_veg_temp_data_means" - The same data as above but taking the means of each plot transect. Mean relative surface temperature (TempPerM) and mean relative NDVI (NDVI_diff) is also included in this sheet. This data is what underlies the testing of the first and second hypotheses. The 'Type' column indicates if transect was in Active or Passive restoration. 3. "LEF_tempdata" - All temperature data used from the Lake Erie Farms site, including that of the mature forest reference areas. 4. "LEF_NDVIdata" - As above but for NDVI instead of temperature. 5. "ECOSTRESS_paired_data" - shows the diurnal temperature variation for the paired measurements from 2018 ECOSTRESS and (one) Landsat measurements (Paired_diff) for each restoration area and the days since restoration for each field. 6. "ECOSTRESS_all_data" - Same data but unpaired and including the second Landsat reading that was removed due to being taken in June, further away from the other readings seasonally. 7. "Temp_31_fields_post_restoration" - the relative temperature (%tempdiff) for all 31 restoration fields over time since restoration, including relative NDVI. Also includes the air temperature, humidity and wind speed from the Delhi, Ontario weather station as near as possible in time to when the image was taken. Also indicates if 100, >90% and >75% of each area was imaged correctly (i.e. no lost pixels or cloud cover within 200 meters of that pixel). Only areas with >75% of pixels remaining in both the restoration area and the paired mature forest area were retained. 8. "Temp_31_fields_pre_restoration" - Same as above but with the data from before restoration for each field. These sheets are divided as the statistical analysis was made separately on the pre-restoration and post-restoration data. 9. "Temp_31_incl_mature" - All data as above but also including temperature of the paired mature forest areas.

本数据集包含Hamberg、Fraser、Robinson、Trant与Murphy所撰写手稿中使用的全部数据。本研究提出三项假说：地表温度会随植被多样性提升而降低；本土植被多样性在降温效果上更优；修复区域的地表温度会随时间推移下降。本研究结果为上述三项假说均提供了支持。

本数据集包含1个包含多个工作表的xls文件，各工作表概述如下：
1. "LEF_veg_data_by_plot_2007-2018"：包含手稿中使用的全部植被数据。该数据集为加拿大自然保护协会（Nature Conservancy of Canada, NCC）提供的全部植被数据的子集，已剔除所有缺失数据点，物种丰富度与多样性指标仅纳入鉴定到物种级别的数据。如需获取本站点所有采样的完整数据集，请联系我，我将协助您对接NCC相关工作人员以获得数据共享许可。
2. "LEF_veg_temp_data_means"：与上述植被数据同源，但已计算每个样带的均值。该工作表同时包含平均相对地表温度（TempPerM）与平均相对归一化差异植被指数（Normalized Difference Vegetation Index, NDVI），为第一项与第二项假说的检验提供数据支撑。其中"Type"列用于标识样带属于主动修复（Active restoration）还是被动修复（Passive restoration）。
3. "LEF_tempdata"：包含来自伊利湖农场（Lake Erie Farms）站点的全部温度数据，其中包括成熟森林参考区域的温度数据。
4. "LEF_NDVIdata"：与上述温度数据同源，但替换为归一化差异植被指数（NDVI）数据。
5. "ECOSTRESS_paired_data"：展示了2018年ECOSTRESS与（单幅）Landsat配对测量数据的昼夜温度变化（Paired_diff），涵盖各修复区域以及各地块距修复完成的天数。
6. "ECOSTRESS_all_data"：与上述配对数据同源，但为非配对数据集，同时包含因拍摄于6月、季节上与其他测量值间隔较远而被剔除的第二幅Landsat读数数据。
7. "Temp_31_fields_post_restoration"：包含31个修复地块在修复完成后的相对温度（%tempdiff）随时间变化的数据，同时包含相对归一化差异植被指数。该工作表还纳入了拍摄时间最接近的安大略省德里（Delhi）气象站的气温、湿度与风速数据。此外，该表还标注了各区域分别有100%、>90%与>75%的区域被正确成像（即该像素周边200米范围内无像素丢失或云覆盖）。仅保留修复区域与配对成熟森林区域中均有>75%像素留存的地块数据。
8. "Temp_31_fields_pre_restoration"：与上述数据集内容一致，但仅包含各地块修复前的数据。之所以拆分这两类数据，是因为统计分析分别针对修复前与修复后数据集独立开展。
9. "Temp_31_incl_mature"：包含上述全部数据，同时额外纳入配对成熟森林区域的温度数据。