Find research datasets worth reusing

openNov 2024View details →

Global Landside Clustering of Aquaculture Ponds Distribution Acquired from Dense Time-Series Sentinel-2 Images by Google Earth Engine

This dataset reveals the global distribution pattern of landside clustering aquaculture ponds (LCAP) from a spatial perspective for the first time. It was derived from 4,015,054 tiles of the 10-m Sentinel-2 time-series images collected throughout 2020. The total area of global LCAP was estimated at 55,337.03 km2. Accuracy verification revealed that the Omission Error and Commission Error of the data is 7.51% and 16.69% respectively. We provide this dataset in ESRI shapefile format (.zip), which can be opened by ArcGIS. We invite you to download and utilize this dataset and recommend citing the following two references.

Data for Past terrestrial hydroclimate sensitivity controlled by Earth System Feedbacks

This folder contains PlioMIP2 ensemble data and CESM2 simulations used in Feng et al., Past terrestrial hydroclimate sensitivity controlled by Earth System Feedbacks (2022). Here is some useful information: 1. Experiment IDs of CESM2 experiments are described in the Method section of the manuscript. The first dimension of variables in ensemble files reflects model IDs : "CCSM4", "CESM1", "CESM2", "COSMOS", "IPSL-CM6", "MIROC4m", "NorESM1-F", "HadCM3", "EC-Earth3.3",  "IPSL-CM5", "IPSL-CM5A2", "HadGEM3", "GISS-E2-1G". 2. The naming convention of variables in ensemble files follows CMIP6 convention. The naming convention of CESM2 variables follows the convention of the model. 3. The script pe_budget_season_new.ncl produces moisture budget decomposition. The results are shown in Fig. 4 of the manuscript.

opencc-by-4.0Dec 2020View details →

Dataset: Pyrogenic carbon decomposition is critical to resolving fire's role in the Earth system

These data, deposited as an Excel (.xlsx) file, tabulate the data used to construct the figures in the proposed Nature Geoscience paper "Pyrogenic carbon decomposition rates are critical to resolving fire's role in the Earth system" (NGS-2020-12-02852C).  The spreadsheets are titled after their respective Figures.  Additional sheets correspond to Extended Data for global pyrogenic carbon production for different vegetation types, the rate of source vegetation-specific erosion of pyrogenic carbon to the inland water network, and the rate of tree mortality in the tropics following post-drought fires. The data are aggregated global outputs from the global land surface model ORCHIDEE-MICT (Biochar version), and are denominated in units of carbon mass, often as a rate quantity.  'PFTs' refer to plant functional types, a common rubric for discerning the differing types and roles of vegetation in functional ecology and their relation to the carbon cycle.  Interested parties are requested to contact the corresponding author for raw data files (model output), which are too large to deposit online.

Birth cluster simulations of planetary systems with multiple super-Earths: initial conditions for white dwarf pollution drivers

We provide the output parameters from our planetary system simulations around white dwarf main-sequence progenitors (1.5, 2.0 and 2.5 solar mass stars) embedded in a birth star cluster containing 8,000 stars. The data can serve the community as initial conditions for subsequent evolution simulations, e.g. to further investigate the role of eccentric planets in the pollution of white dwarfs. The planetary systems, consisting solely of super-Earths with 0.01 Jovian masses, were started in three different orbital configurations. The 3P model contains 3 planets with initial semimajor axes between 2.00 and 18.63 AU. We also simulated two 7-planet system models with different orbital spacing. The 7PC model represents a compact planetary system with 7 planets between 2.00 and 18.63 AU. The 7PW model represents a wide planetary system with 7 planets between 2.00 and 56.87 AU. The three planetary system models were distributed around 193 stars with 1.5 solar masses, around 114 stars with 2.0 solar masses and around 101 stars with 2.5 solar masses, and numerically integrated for 100 Myr considering the gravitational forces from the neighbouring stars in the star cluster. See the publication Stock et al. (2022) for further information.

Videos of dynamic rupture in models of the 2004 Sumatra-Andaman earthquake published in Madden et al. (2022) "The state of pore fluid pressure and 3D megathrust earthquake dynamics" JGR-Solid Earth

Videos of dynamic rupture from models based on the 2004 Sumatra-Andaman earthquake presented in Madden, E. H., T. Ulrich, A.-A. Gabriel (2022). The state of pore fluid pressure and 3D megathrust earthquake dynamics, Journal of Geophysical Research - Solid Earth, <a href="https://doi.org/10.1029/2021JB023382">https://doi.org/10.1029/2021JB023382</a>. (Previous preprint available at: <a href="https://doi.org/10.1002/essoar.10508297.1">https://doi.org/10.1002/essoar.10508297.2</a>.)

DFT raw data for "Investigations on electron beam irradiated rare-earth doped SrF2 for application as low fading dosimeter material: Evidence for and DFT simulation of a radiation-induced phase"

This is the DFT data for "<a href="https://pubs.rsc.org/en/content/articlehtml/2022/tc/d2tc01773c">Investigations on electron beam irradiated rare-earth doped SrF2 for application as low fading dosimeter material: Evidence for and DFT simulation of a radiation-induced phase</a>" https://doi.org/10.1039/D2TC01773C .  It includes all predicted structures, the structure optimizations and the phonon computations in VASP format. Phonon computations were performed with the finite displacement method.

opencc-by-4.0Apr 2022View details →

Supporting information for Plant migration under long-lasting hyperaridity – phylogenomics unravels recent biogeographic history in one of the oldest deserts on Earth

R Scripts, input and parameter files as well as analysis results are provided for the publication: Böhnert et la. (2022) Plant migration under long-lasting hyperaridity – phylogenomics unravels recent biogeographic history in one of the oldest deserts on Earth. New Phyotologist.

openother-openMar 2022View details →

Supplemental Data for Dyreson et al. 2021, Earth's Future

<pre>Supplemental Data for Dyreson et al. 2021, Earth's Future Publication Title: The Role of Regional Connections in Planning for Future Power System Operations under Climate Extremes Abstract: Extreme climate events can negatively impact power system operations. Identifying the sensitivity of a power system to climate extremes must consider future infrastructure changes. We investigate the sensitivity of a historic Western U.S. power system (5% variable renewable penetration of energy) and a future system (31%) to compound drought and heat wave events. We use an electricity operational model combined with a model of historically extreme drought (for hydropower and freshwater-reliant thermoelectric generators) over the Western U.S. and a synthetic, regionally extreme heat event focused on Southern California (for thermoelectric generators and electricity load). We find that drought has the highest impact on summertime production cost (+10 to +12%), while temperature-based deratings have minimal effect (at most +1%). The heat wave scenario impacting load increases the summertime regional net imports to that region by 10 to 14%, while the drought decreases them by 5 to 12%. Combined heat and drought conditions have a moderate effect on imports to Southern California (-2%) in the historic system and a stronger effect (+8%) in the future system. Southern California dependence on other regions decreases in the summertime with the moderate increase in variable renewable energy (-34% imports), but hourly peak regional imports are maintained under those infrastructure changes. Using a novel method that combines synthetic and historically-driven conditions to test multiple infrastructures, we consolidate the importance of considering compounded heat wave and drought in planning studies and show that region-to-region energy transfers during peak periods are key to optimal operations under climate extremes. Dataset Summary: There are four categories of input files: 1) Water-constrainted generation capacity and monthly energy targets for production cost modeling (PNNL) 2) Temperature and precipitation results from 100 simulations [Temerature_precip_simulations] 3) Derating inputs [Derating_inputs]: dry bulb and wet bulb temperature based on four selected simulations and county design point temperature for thermoelectric generation 4) Load inputs [Load_inputs]: hourly county electricity demand temperature sensitivites (slopes), hourly county electricity demand for ten scenarios (baseline year + four simulated years for low VG and moderate VG infrastructures; moderate VG infrastrcutures also incorporate load growth) As well as the output files for bulk electricity grid operations as simulated by production cost model in a historical and future infrastructure informed by a combination of drought and heat scenarios. Each data set described in detail in each read me file.</pre>

FIGURE 100 in The Batrisini of Tibet: unveiling an enigmatic ant-loving beetle diversity at Earth's "Third Pole" (Coleoptera, Staphylinidae, Pselaphinae)

FIGURE 100. Environment of and collecting sites at Nyingchi area (A–E) and Chamdo (ăƀ) (F). A. 80K. B. 96K. C–E. Xiachayu (T察ø). F. pass of Jueba Mountain (ẅ巴山口), Markam (Ẽ康). Photo Credit: A by Zhong Peng; B by Xiao-Bin Song; F by Wen-Xuan Bi.

FIGURE 98 in The Batrisini of Tibet: unveiling an enigmatic ant-loving beetle diversity at Earth's "Third Pole" (Coleoptera, Staphylinidae, Pselaphinae)

FIGURE 98. Environment of and collecting sites at Nyingchi area. A, B. Lage (Ń格). C, D. Hanmi (汗ṁ). E, F. Aniqiao (Nj 尼桥). Photo Credit: A, B by Chao Wu; C, D by Wen-Xuan Bi; E, F by Hao Huang.

FIGURE 99 in The Batrisini of Tibet: unveiling an enigmatic ant-loving beetle diversity at Earth's "Third Pole" (Coleoptera, Staphylinidae, Pselaphinae)

FIGURE 99. Environment of and collecting sites at Nyingchi area. A. Beibeng Township (Ü崩乡). B. Road near Gelin Village (格ff村). C. A bridge at Yarang (亚ü). D. A village near Guoguotang Great Bend (果果Ƌkm弯). E. Environment near Mêdog County (ẸṘ县). F. Path to Renqingbeng Temple (仁ů崩寺). G. An overall view of Guoguotang Great Bend. Photo Credit: E, F by Xiao-Bin Song.

FIGURE 97 in The Batrisini of Tibet: unveiling an enigmatic ant-loving beetle diversity at Earth's "Third Pole" (Coleoptera, Staphylinidae, Pselaphinae)

FIGURE 97. Environment of and collecting sites at Nyingchi area. A. Sign of Yigong Tea Farm (ƌŭē厂). B. Forest near Yigong. C. Forest at Pailong Township (ḦË乡). D. Forest near Tongmai Town (ȃ9W).

FIGURE 96 in The Batrisini of Tibet: unveiling an enigmatic ant-loving beetle diversity at Earth's "Third Pole" (Coleoptera, Staphylinidae, Pselaphinae)

FIGURE 96. Environment of and collecting sites at Nyingchi area (ffż地区). A. Gongbo'gyamda (工布ȕḭ). B. Zhongzhe Village (ΦĖ村). C. Kading Valley (ϮŤ沟). D. Chongge Cuo (ṗẋś). E, F. A slope near Serjila mountain pass (DzĻŃ山口). Photo Credit: A, B, E, F by Zhong Peng.

FIGURE 94 in The Batrisini of Tibet: unveiling an enigmatic ant-loving beetle diversity at Earth's "Third Pole" (Coleoptera, Staphylinidae, Pselaphinae)

FIGURE 94. Environment of and collecting sites at Yatung Valley (亚东沟). General environment (A) of and collecting sites (B, C) at Xiayadong (T亚东). Photo Credit: A by Jian-Qing Zhu.

FIGURE 95 in The Batrisini of Tibet: unveiling an enigmatic ant-loving beetle diversity at Earth's "Third Pole" (Coleoptera, Staphylinidae, Pselaphinae)

FIGURE 95. Environment of and collecting sites at Lebu Valley (勒布沟). Forests at 2400 m (A, B), and 3650 m (C, D).

FIGURE 93 in The Batrisini of Tibet: unveiling an enigmatic ant-loving beetle diversity at Earth's "Third Pole" (Coleoptera, Staphylinidae, Pselaphinae)

FIGURE 93. Environment of and collecting sites at Zhêntang Valley (ĿƋ沟). Slopes at altitudes of 3700 m (A), 4000 m (B), and 3050 m (C). D. Nadang Village (Ḅ当村). E. Road to Xiuxiongma Village (šŏ玛村). F, G. Environment of Ganma Zangbo Valley (HḼẪ布河ě). Photo Credit: F, G by Zhong Peng.

FIGURE 92 in The Batrisini of Tibet: unveiling an enigmatic ant-loving beetle diversity at Earth's "Third Pole" (Coleoptera, Staphylinidae, Pselaphinae)

FIGURE 92. Environment of Zhangmu Valley (樟木沟). Environment of Youyiqiao (友谊桥) (A, B), Lixin Village (ĒẾ村) (C) and Qu Township (DZ乡) (D). Photo Credit: A, B by Jian-Qing Zhu; C, D by Wen-Xuan Bi.

FIGURE 91 in The Batrisini of Tibet: unveiling an enigmatic ant-loving beetle diversity at Earth's "Third Pole" (Coleoptera, Staphylinidae, Pselaphinae)

FIGURE 91. Environment of and collecting sites at Gyirong Valley. A. General environment surrounding Langjicuo Lake (朗吉śéae), at an altitude of about 4100 m. B. A slope near Langjicuo Lake, dominated by ferns and bushes. C. A slope near Langjicuo Lake, with Rhododendron trees. Photo Credit: A by Zhong Peng.

FIGURE 90 in The Batrisini of Tibet: unveiling an enigmatic ant-loving beetle diversity at Earth's "Third Pole" (Coleoptera, Staphylinidae, Pselaphinae)

FIGURE 90. Environment of and collecting sites at Gyirong Valley. A. General environment of the valley. B. A slope dominated by conifers along the valley. C. Zhong Peng searching pselaphines under the bark of a fallen trunk.

FIGURE 88 in The Batrisini of Tibet: unveiling an enigmatic ant-loving beetle diversity at Earth's "Third Pole" (Coleoptera, Staphylinidae, Pselaphinae)

FIGURE 88. Environment of and collecting sites at Gyirong Valley (吉P沟). A. General environment of Ru Kupuqiong. B. Collecting site at Ru Kupuqiong (ả库âAE). C. A stone by the path at Ru Kupuqiong, under which two larvae (D) and an adult (E) of Hingstoniella lata Jeannel were spotted. Photo Credit: A, D, E by Wen-Xuan Zhang.