cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23599473.v1
title: <strong>Eddy-induced Chlorophyll-a Variations in the Northern Indian Ocean</strong>

description: " Arabian_AEs_chl_anom_new.json" is a file that includes eddy-induced Chl-a information for surface- and subsurface-intensified AEs in the Arabian Sea during 2000-2015; " Arabian_CEs_chl_anom_new.json" is a file that includes eddy-induced Chl-a information for surface- and subsurface-intensified CEs in the Arabian Sea during 2000-2015; " Bengal_AEs_chl_anom_new.json" is a file that includes eddy-induced Chl-a information for surface- and subsurface-intensified AEs in the Bay of Bengal during 2000-2015; " Bengal_CEs_chl_anom_new.json" is a file that includes eddy-induced Chl-a information for surface- and subsurface-intensified CEs in the Bay of Bengal during 2000-2015.
DOI: 10.5281/zenodo.8098300
title: Mooring Q1 and Q2 sea water velocity

description: These data were extracted from two moorings located on the north slope and center of the Mariana Trench, respectively.
DOI: 10.5281/zenodo.8098299
title: Mooring Q1 and Q2 sea water velocity

description: These data were extracted from two moorings located on the north slope and center of the Mariana Trench, respectively.
DOI: 10.5066/p9jkbfbt
title: Estimated crop irrigation water use withdrawals in San Simon Valley Groundwater Subbasin of the Safford Groundwater Basin, Arizona for 2022

description: Observations of irrigated agricultural land within the San Simon Valley Groundwater Subbasin of the Safford Groundwater Basin. Digitized field boundaries were used to locate crops for in situ verification twice in 2022; crop verification occurred first on May 18th and again on August 24th. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program County Mosaic 2021 imagery for Arizona and supplemented with Landsat and Sentinel2 imagery collections accessed via the Sentinel Hub, Sentinel Playground (https://apps.sentinel-hub.com/sentinel-playground). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating consumptive use (U.S. Bureau of Reclamation, 1992 appendix A) using crop coefficients from Doorenbos and Pruitt (1975), the number of acres with active crops, crop condition, and irrigation system efficiency. The withdrawal equation was modified from "Water withdrawals for irrigation, municipal, mining, thermoelectric-power, and drainage uses in Arizona outside of active management areas, 1991-2000" (Tadayon, 2005) to account for variations in water application. � Data are available as a shapefile for visualization or as a stand-alone csv table for attributes only. � � � Bureau of Reclamation, 1992, Plan of study and methods manual for Colorado River system consumptive uses and losses report 1985?1990: Bureau of Reclamation, Appendix A, 23 p. � Doorenbos, J. and Pruitt, W.O.,1975, Guidelines for predicting crop water requirements: Irrigation and drainage paper FAO No. 24, p195, https://www.nrc.gov/docs/ML1821/ML18215A282.pdf. � Tadayon, Saeid, 2005, Water withdrawals for irrigation, municipal, mining, thermoelectric-power, and drainage uses in Arizona outside of Active Management Areas, 1991?2000: U.S. Geological Survey Scientific Investigations Report 2004-5293, 28 p.
DOI: 10.6084/m9.figshare.23600754
title: Bae de datos para Análisis Bibliometrico sobre Educación Ambiental en Ingeniería en Latinoamérica

description: Se expone una base de datos con 69 documentos para un analisis bibliometrico. El archivo es un excell
DOI: 10.5281/zenodo.8098323
title: Continuous data of air temperature, relative humidity, and air pressure collected at Kyoto University in January 2022

description: I present the continuous data of air temperature, relative humidity, and air pressure collected at the Kyoto-A gravity measurement room (latitude: 35.02938 N, longitude: 135.78347 E, elevation: 60.82 m), Graduate School of Science, Kyoto University in January 2022. The values of air temperature, relative humidity, and air pressure were obtained every 1 second by a BME280 sensor (Bosch Sensortec GmbH) on a RT-USB-THP module (RT Corporation). The data were time-stamped and recorded using the Tera Term software on a Windows PC, which was synchronized in time with the NTP server of NICT (ntp.nict.jp). photo.zip contains the photographs of the Kyoto-A gravity measurement room taken in December 2022. The RT-USB-THP module and the Windows PC were located on the basement rock of the Kyoto-A absolute gravity point. data.zip contains the continuous data of air temperature, relative humidity, and air pressure collected at the Kyoto-A gravity measurement room. Each file of 2201??.txt stores the data obtained from 11:55 JST of the corresponding day to 11:54 JST of the next day, according to the operating time of the Tera Term software. The columns in 2201??.txt are as follows from left to right: year, month, day, hour, minute, second, air temperature [degC], air pressure [hPa], and relative humidity [%]. Note that 220101.txt was not recorded due to the failure of the Windows PC on January 1, 2022. figure.zip contains the graphs of air temperature, relative humidity, and air pressure drawn using the GMT4 software. Each graph of 2201??.png shows the time variation in air temperature, relative humidity, and air pressure from 0:00 JST to 24:00 JST of the corresponding day. tonga.png shows the air pressure variation from 12:00 JST on January 15 to 11:54 JST on January 16, and its original data is available as 220115.txt in data.zip. The pressure change of about 2 hPa was observed around 20:40 JST on January 15, associated with the propagation of the Lamb wave generated by the massive eruption of the Hunga Tonga-Hunga Ha’apai volcano.
DOI: 10.5281/zenodo.8098322
title: Continuous data of air temperature, relative humidity, and air pressure collected at Kyoto University in January 2022

description: I present the continuous data of air temperature, relative humidity, and air pressure collected at the Kyoto-A gravity measurement room (latitude: 35.02938 N, longitude: 135.78347 E, elevation: 60.82 m), Graduate School of Science, Kyoto University in January 2022. The values of air temperature, relative humidity, and air pressure were obtained every 1 second by a BME280 sensor (Bosch Sensortec GmbH) on a RT-USB-THP module (RT Corporation). The data were time-stamped and recorded using the Tera Term software on a Windows PC, which was synchronized in time with the NTP server of NICT (ntp.nict.jp). photo.zip contains the photographs of the Kyoto-A gravity measurement room taken in December 2022. The RT-USB-THP module and the Windows PC were located on the basement rock of the Kyoto-A absolute gravity point. data.zip contains the continuous data of air temperature, relative humidity, and air pressure collected at the Kyoto-A gravity measurement room. Each file of 2201??.txt stores the data obtained from 11:55 JST of the corresponding day to 11:54 JST of the next day, according to the operating time of the Tera Term software. The columns in 2201??.txt are as follows from left to right: year, month, day, hour, minute, second, air temperature [degC], air pressure [hPa], and relative humidity [%]. Note that 220101.txt was not recorded due to the failure of the Windows PC on January 1, 2022. figure.zip contains the graphs of air temperature, relative humidity, and air pressure drawn using the GMT4 software. Each graph of 2201??.png shows the time variation in air temperature, relative humidity, and air pressure from 0:00 JST to 24:00 JST of the corresponding day. tonga.png shows the air pressure variation from 12:00 JST on January 15 to 11:54 JST on January 16, and its original data is available as 220115.txt in data.zip. The pressure change of about 2 hPa was observed around 20:40 JST on January 15, associated with the propagation of the Lamb wave generated by the massive eruption of the Hunga Tonga-Hunga Ha’apai volcano.
DOI: 10.5281/zenodo.8098312
title: Contractual Events in Court Decisions Dataset

description: A dataset for the task of information extraction, in particular event extraction, in court decisions, focusing on contracts. Our dataset captures contractual relations and events that affect them in some way, such as negotiations preceding a (possible) contract, the execution of a contract, or its termination.
description: Guilherme Paulino-Passos would like to thank the National Institute of Informatics, Tokyo, Japan, for supporting his visit to Japan that made this work possible, as well as Capes (Brazil, Ph.D. Scholarship 88881.174481/2018-01). Francesca Toni also acknowledges support from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No.101020934, ADIX), as well as support from J.P. Morgan and the Royal Academy of Engineering, UK, under the Research Chairs and Senior Research Fellowships scheme. Ken Satoh acknowledges support by JSPS KAKENHI Grant Number, JP22H00543 and JST, AIP Trilateral AI Research, Grant Number JPMJCR20G4.
description: {"references": ["Paulino-Passos, Guilherme et al. (2023). A Dataset of Contractual Events in Court Decisions. Logic Programming and Legal Reasoning workshop at ICLP 2023."]}
DOI: 10.5281/zenodo.8098311
title: Contractual Events in Court Decisions Dataset

description: A dataset for the task of information extraction, in particular event extraction, in court decisions, focusing on contracts. Our dataset captures contractual relations and events that affect them in some way, such as negotiations preceding a (possible) contract, the execution of a contract, or its termination.
description: Guilherme Paulino-Passos would like to thank the National Institute of Informatics, Tokyo, Japan, for supporting his visit to Japan that made this work possible, as well as Capes (Brazil, Ph.D. Scholarship 88881.174481/2018-01). Francesca Toni also acknowledges support from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No.101020934, ADIX), as well as support from J.P. Morgan and the Royal Academy of Engineering, UK, under the Research Chairs and Senior Research Fellowships scheme. Ken Satoh acknowledges support by JSPS KAKENHI Grant Number, JP22H00543 and JST, AIP Trilateral AI Research, Grant Number JPMJCR20G4.
description: {"references": ["Paulino-Passos, Guilherme et al. (2023). A Dataset of Contractual Events in Court Decisions. Logic Programming and Legal Reasoning workshop at ICLP 2023."]}
DOI: 10.6084/m9.figshare.23605890
title: De novo circular genome assembly of Elizabethkingia anophelis found in the mosquito Aedes aegypti from an Australian colony

description: We report the complete circular genome assembly of <em>Elizabethkingia anophelis </em>(Flavobacteriales) generated with the ONT and Illumina sequences from a laboratory-reared <em>Aedes aegypti </em>mosquito. This genome sequence does not belong to the lineage of known isolates from <em>Anopheles </em>mosquitoes, indicating that <em>E. anophelis</em> is genomically diverse across mosquito disease vectors.
DOI: 10.6084/m9.figshare.23605890.v1
title: De novo circular genome assembly of Elizabethkingia anophelis found in the mosquito Aedes aegypti from an Australian colony

description: We report the complete circular genome assembly of <em>Elizabethkingia anophelis </em>(Flavobacteriales) generated with the ONT and Illumina sequences from a laboratory-reared <em>Aedes aegypti </em>mosquito. This genome sequence does not belong to the lineage of known isolates from <em>Anopheles </em>mosquitoes, indicating that <em>E. anophelis</em> is genomically diverse across mosquito disease vectors.
DOI: 10.5281/zenodo.8098127
title: CROVER model output data for paper "Future Warming Decreases the Benefits of Irrigation in Global Food Production"

description: This data is output data simulated by the CROVER crop-river coupled model for the scientific paper entitled: “Future Warming Decreases the Benefits of Irrigation in Global Food Production”. Simulations are based on 120-year simulations (1981-2100) using 20 climate projections (four Representative Concentration Pathways (RCPs) (2.6, 4.5, 6.0, and 8.5) × five General Circulation Models (GCMs) (GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR, MIROC-ESM-CHEM, and NorESM1-M)). The dataset includes crop yield of the modeled five crops (maize, rice, soybean, spring wheat, and winter wheat) each for irrigated and rainfed with a spatial resolution of 1.125 degree. The file name consists of a series of identifiers, separated by underscore, according to the following pattern. crover_&lt;gcm&gt;_&lt;rcp&gt;_yield_&lt;crop&gt;_&lt;irrigated|rainfed&gt;.grd crover_&lt;gcm&gt;_&lt;rcp&gt;_yield_&lt;crop&gt;_&lt;irrigated|rainfed&gt;.ctl Format: grads binary (global, 1.125 degree) These files were compressed as a zip file for each GCM and RCP.
description: This research was supported by the Environment Research and Technology Development Fund (JPMEERF20202002/JPMEERF20S11805) of the Environmental Restoration and Conservation Agency of Japan.
DOI: 10.5281/zenodo.8098126
title: CROVER model output data for paper "Future Warming Decreases the Benefits of Irrigation in Global Food Production"

description: This data is output data simulated by the CROVER crop-river coupled model for the scientific paper entitled: “Future Warming Decreases the Benefits of Irrigation in Global Food Production”. Simulations are based on 120-year simulations (1981-2100) using 20 climate projections (four Representative Concentration Pathways (RCPs) (2.6, 4.5, 6.0, and 8.5) × five General Circulation Models (GCMs) (GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR, MIROC-ESM-CHEM, and NorESM1-M)). The dataset includes crop yield of the modeled five crops (maize, rice, soybean, spring wheat, and winter wheat) each for irrigated and rainfed with a spatial resolution of 1.125 degree. The file name consists of a series of identifiers, separated by underscore, according to the following pattern. crover_&lt;gcm&gt;_&lt;rcp&gt;_yield_&lt;crop&gt;_&lt;irrigated|rainfed&gt;.grd crover_&lt;gcm&gt;_&lt;rcp&gt;_yield_&lt;crop&gt;_&lt;irrigated|rainfed&gt;.ctl Format: grads binary (global, 1.125 degree) These files were compressed as a zip file for each GCM and RCP.
description: This research was supported by the Environment Research and Technology Development Fund (JPMEERF20202002/JPMEERF20S11805) of the Environmental Restoration and Conservation Agency of Japan.
DOI: 10.6084/m9.figshare.23605965
title: Data and codes for household carbon footprints in developed countries

description: Developed countries are experienciWtrends towards childlessness and singleness, but little is known about the climate impacts of their consumption relative to this. We evaluate the greenhouse gas (GHG) footprint of five household groups and clarifies the climate effect of household transitions towards singleness and childlessness. We found that the trends of singleness and childlessness in developed countries challenge carbon mitigation. Although there is a sharp decrease in the GHG footprint of couple households with dependent children, the emerging single and childless households have accounted for an increasing share of GHG footprint due to their growing quantity and relatively higher GHG intensity. Reducing the GHG intensity of single and childless households is essential for the achievement of the temperature target. Climate policy makers need to fully consider these demographic trends.
DOI: 10.6084/m9.figshare.23605965.v1
title: Data and codes for household carbon footprints in developed countries

description: Developed countries are experienciWtrends towards childlessness and singleness, but little is known about the climate impacts of their consumption relative to this. We evaluate the greenhouse gas (GHG) footprint of five household groups and clarifies the climate effect of household transitions towards singleness and childlessness. We found that the trends of singleness and childlessness in developed countries challenge carbon mitigation. Although there is a sharp decrease in the GHG footprint of couple households with dependent children, the emerging single and childless households have accounted for an increasing share of GHG footprint due to their growing quantity and relatively higher GHG intensity. Reducing the GHG intensity of single and childless households is essential for the achievement of the temperature target. Climate policy makers need to fully consider these demographic trends.
DOI: 10.6084/m9.figshare.23606001
title: Raw Data TNF-alpha & E-selectin immunohistochemical vs ELISA

description: White rats were euthanized 14 days after being injected with a subcutaneous dose of 0.20 mg equivalent to 2 x 1011 CFU of <em>Bacillus anthracis</em> spores by ketamine injection. Lung tissue was taken and underwent tissue preparations. Each sample was made as a histological slide for immunohistochemical examination conducted at the Anatomic Pathology Laboratory, Faculty of Medicine, Universitas Sebelas Maret Surakarta. A complete necropsy was performed on each mouse. Lung tissues were fixed by submersion in 10% neutral buffered formalin, then embedded in paraffin, stained with H&E, and be evaluated by a board-certified veterinary pathologist. An immunohistochemistry stain was then performed on lung tissues. Antibodies against murine TNF-α dan E-selectin for mice (Santa Cruz Biotechnology Inc., California, USA) were used, dissolved in TRIS-PBS 1:200. Lung tissues were incubated with biotinilyzed <em>antimurine antibodies</em> (Dako Kit) and streptavidin-biotin peroxidase (Dako Kit) for 30 mins. Lung tissues are then washed with PBS pH 7,4, two times, each for 3 mins between tissues incubation before. At the end of the study, serum collection for TNF-α and E-selectin levels were selected, performed, and analyzed by Enzyme-Linked Immunosorbent Assay (ELISA). 100 µl of serum were added into a sterile test tube, and were incubated for two and a half hours at 4°C to the prepared reagents and samples. Then, a 100 µl biotin antibody, streptavidin, and <em>TMB One-Step Substrate Reagent</em> were added into each tube. These tubes were then further incubated for 1 hour, 45 minutes, and 30 minutes, respectively. The reading was done at 450 nm, and the ELISA Kits that were used for this research were RayBio® Rat, TNF-α, ELISA Kit, dan RayBio®, Rat E-selectin, and Norcross Georgia, USA.
DOI: 10.57841/casdc.0001538
title: 氮化硼/氮化硼体系在界面距离为1.9706埃时的势能面
DOI: 10.57841/casdc.0001539
title: 氮化硼/氮化硼体系在界面距离为1.9666埃时的势能面
DOI: 10.57841/casdc.0001540
title: 氮化硼/氮化硼体系在界面距离为1.9626埃时的势能面
DOI: 10.57841/casdc.0001541
title: 氮化硼/氮化硼体系在界面距离为1.9586埃时的势能面
DOI: 10.57841/casdc.0001542
title: 氮化硼/氮化硼体系在界面距离为1.9546埃时的势能面
DOI: 10.57841/casdc.0001543
title: 氮化硼/氮化硼体系在界面距离为1.9506埃时的势能面
DOI: 10.57841/casdc.0001544
title: 氮化硼/氮化硼体系在界面距离为1.9466埃时的势能面
DOI: 10.57841/casdc.0001545
title: 氮化硼/氮化硼体系在界面距离为1.9426埃时的势能面
DOI: 10.57841/casdc.0001546
title: 氮化硼/氮化硼体系在界面距离为1.9386埃时的势能面
DOI: 10.57841/casdc.0001547
title: 氮化硼/氮化硼体系在界面距离为1.9346埃时的势能面
DOI: 10.57841/casdc.0001548
title: 氮化硼/氮化硼体系在界面距离为1.9306埃时的势能面
DOI: 10.57841/casdc.0001549
title: 氮化硼/氮化硼体系在界面距离为1.9266埃时的势能面
DOI: 10.57841/casdc.0001550
title: 氮化硼/氮化硼体系在界面距离为1.9226埃时的势能面
DOI: 10.57841/casdc.0001551
title: 氮化硼/氮化硼体系在界面距离为1.9186埃时的势能面
DOI: 10.57841/casdc.0001552
title: 氮化硼/氮化硼体系在界面距离为1.9146埃时的势能面
DOI: 10.57841/casdc.0001553
title: 氮化硼/氮化硼体系在界面距离为1.9106埃时的势能面
DOI: 10.57841/casdc.0001554
title: 氮化硼/氮化硼体系在界面距离为1.9066埃时的势能面
DOI: 10.57841/casdc.0001555
title: 氮化硼/氮化硼体系在界面距离为1.9026埃时的势能面
DOI: 10.57841/casdc.0001556
title: 氮化硼/氮化硼体系在界面距离为1.8986埃时的势能面
DOI: 10.57841/casdc.0001557
title: 氮化硼/氮化硼体系在界面距离为1.8946埃时的势能面
DOI: 10.57841/casdc.0001558
title: 氮化硼/氮化硼体系在界面距离为1.8906埃时的势能面
DOI: 10.57841/casdc.0001559
title: 氮化硼/氮化硼体系在界面距离为1.8866埃时的势能面
DOI: 10.57841/casdc.0001560
title: 氮化硼/氮化硼体系在界面距离为1.8826埃时的势能面
DOI: 10.57841/casdc.0001561
title: 氮化硼/氮化硼体系在界面距离为1.8786埃时的势能面
DOI: 10.6084/m9.figshare.23606010
title: AppleLeaf9-Enhanced Edition(AL9EE)

description: AL9EE was derived from the AppleLeaf9 dataset through data augmentation using CycleGAN and further enhanced for apple disease classification. AL9EE consists of a total of 26,755 apple leaf disease images. The dataset includes nine categories: Alternaria leaf spot, Brown spot, Frogeye leaf spot, Grey spot, Health, Mosaic, Powdery mildew, Rust, and Scab.
DOI: 10.57841/casdc.0001562
title: 氮化硼/氮化硼体系在界面距离为1.8746埃时的势能面
DOI: 10.57841/casdc.0001563
title: 氮化硼/氮化硼体系在界面距离为1.8706埃时的势能面
DOI: 10.57841/casdc.0001564
title: 氮化硼/氮化硼体系在界面距离为1.8666埃时的势能面
DOI: 10.57841/casdc.0001565
title: 氮化硼/氮化硼体系在界面距离为1.8626埃时的势能面
DOI: 10.57841/casdc.0001566
title: 氮化硼/氮化硼体系在界面距离为1.8586埃时的势能面
DOI: 10.57841/casdc.0001567
title: 氮化硼/氮化硼体系在界面距离为1.8546埃时的势能面
DOI: 10.57841/casdc.0001568
title: 氮化硼/氮化硼体系在界面距离为1.8506埃时的势能面
DOI: 10.57841/casdc.0001569
title: 氮化硼/氮化硼体系在界面距离为1.8466埃时的势能面
DOI: 10.57841/casdc.0001570
title: 氮化硼/氮化硼体系在界面距离为1.8426埃时的势能面
DOI: 10.57841/casdc.0001571
title: 氮化硼/氮化硼体系在界面距离为1.8386埃时的势能面
DOI: 10.57841/casdc.0001572
title: 氮化硼/氮化硼体系在界面距离为1.8346埃时的势能面
DOI: 10.57841/casdc.0001573
title: 氮化硼/氮化硼体系在界面距离为1.8306埃时的势能面
DOI: 10.57841/casdc.0001574
title: 氮化硼/氮化硼体系在界面距离为1.8266埃时的势能面
DOI: 10.57841/casdc.0001575
title: 氮化硼/氮化硼体系在界面距离为1.8226埃时的势能面
DOI: 10.57841/casdc.0001576
title: 氮化硼/氮化硼体系在界面距离为1.8186埃时的势能面
DOI: 10.57841/casdc.0001577
title: 氮化硼/氮化硼体系在界面距离为1.8146埃时的势能面
DOI: 10.57841/casdc.0001578
title: 氮化硼/氮化硼体系在界面距离为1.8106埃时的势能面
DOI: 10.57841/casdc.0001579
title: 氮化硼/氮化硼体系在界面距离为1.8066埃时的势能面
DOI: 10.57841/casdc.0001580
title: 氮化硼/氮化硼体系在界面距离为1.8026埃时的势能面
DOI: 10.57841/casdc.0001581
title: 氮化硼/氮化硼体系在界面距离为1.7986埃时的势能面
DOI: 10.57841/casdc.0001582
title: 氮化硼/氮化硼体系在界面距离为1.7946埃时的势能面
DOI: 10.57841/casdc.0001583
title: 氮化硼/氮化硼体系在界面距离为1.7906埃时的势能面
DOI: 10.57841/casdc.0001584
title: 氮化硼/氮化硼体系在界面距离为1.7866埃时的势能面
DOI: 10.57841/casdc.0001585
title: 氮化硼/氮化硼体系在界面距离为1.7826埃时的势能面
DOI: 10.57841/casdc.0001586
title: 氮化硼/氮化硼体系在界面距离为1.7786埃时的势能面
DOI: 10.57841/casdc.0001587
title: 氮化硼/氮化硼体系在界面距离为1.7746埃时的势能面
DOI: 10.57841/casdc.0001588
title: 氮化硼/氮化硼体系在界面距离为1.7706埃时的势能面
DOI: 10.18141/1890169
title: NEWTS EPA FGD Effluent Database

description: Data from the US EPA FGD Database containing FGD effluent data from selected U.S. coal power plants. Original data from: Nguyen, Dan-Tam, Eastern Research Group. Sep 29, 2015. Analytical Database for the Steam Electric Rulemaking - DCN SE05359. https://www.regulations.gov/document/EPA-HQ-OW-2009-0819-5640
DOI: 10.57841/casdc.0001589
title: 氮化硼/氮化硼体系在界面距离为1.7666埃时的势能面
DOI: 10.57841/casdc.0001590
title: 氮化硼/氮化硼体系在界面距离为1.7626埃时的势能面
DOI: 10.57841/casdc.0001591
title: 氮化硼/氮化硼体系在界面距离为1.7586埃时的势能面
DOI: 10.57841/casdc.0001592
title: 氮化硼/氮化硼体系在界面距离为1.7546埃时的势能面
DOI: 10.57841/casdc.0001593
title: 氮化硼/氮化硼体系在界面距离为1.7506埃时的势能面
DOI: 10.57841/casdc.0001594
title: 氮化硼/氮化硼体系在界面距离为1.7466埃时的势能面
DOI: 10.57841/casdc.0001595
title: 氮化硼/氮化硼体系在界面距离为1.7426埃时的势能面
DOI: 10.57841/casdc.0001596
title: 氮化硼/氮化硼体系在界面距离为1.7386埃时的势能面
DOI: 10.57841/casdc.0001597
title: 氮化硼/氮化硼体系在界面距离为1.7346埃时的势能面
DOI: 10.57931/1963007
title: Version of GCAM-USA used for National Climate Assessment 5, Chapter 5: GCAM-USA-v5.3-IM3-NCA5

description: Overview GCAM-USA-v5.3-IM3-NCA5 is developed using GCAM-USA-v5.3 as its core, with the impact of the thermodynamic global warming scenario "RCP8.5_hotter" on runoff, heating and cooling degree-hours, and agricultural yield and the SSP5 socioeconomic scenario. These scenarios were produced as part of the Integrated Multisector, Multiscale Modeling (IM3) project and used by National Climate Assessment 5. Detailed Information This software package includes the output dataset, which is located in "output/database_rcp85hotter_ssp5". For reproducibility, the model is setup and ready to run for the selected IM3 scenario "rcp85hotter_ssp5". To execute the model, double click "exe/run-gcam.bat".