This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 4661–4680 of 24670 papers
Hiremath, Prakul
This paper presents CCTS-745, the first standardized facility-level research dataset for India's Carbon Credit Trading Scheme (CCTS), consolidating 745 facilities across 9 sectors from official notifications. It includes baseline emissions,…
Belay Sitotaw Goshu, Muhammad Ridwan
This study assesses Ethiopia's climate mitigation under the CRGE framework (2010-2023). Renewables (mainly hydropower) and afforestation achieved 34,006 tCO₂ reductions, but GDP growth drove emissions up 196%. Decoupling analysis shows full…
Feiyu Cai, Jing Qiu, Yi Yang +4
This paper proposes a proactive spatial-temporal carbon response framework combining deep learning and LLM-based multi-agent systems to accurately forecast day-ahead nodal carbon intensity (NCI). It integrates geographically dispatchable lo…
Zhong Lei, Wang Xiaobo
This dataset records experimental results on molten metal-catalyzed methane pyrolysis for hydrogen production, including key performance indicators under various operating conditions. It helps analyze effects of temperature, flow rate, and …
Chenyu Wang
This study proposes an intelligent energy management method for electricity-hydrogen-thermal integrated systems using reward-driven adaptive reinforcement learning. It contributes to optimizing system efficiency and decarbonization.
shi qin qin
This paper provides a dataset of carbon emissions and absorption for 280 prefecture-level cities in China from 2003 to 2023, using the ODIAC global fossil fuel CO2 emission dataset and Chinese 30m land cover data. Carbon absorption by land …
Dakang Wang, Jiwei Shen
A global 2km×2km XCH4 dataset derived from TROPOMI using a regridding algorithm, validated against TCCON and GOSAT with high accuracy (R=0.953, bias<1.5%). Significantly improves detection of methane plumes from super-emitters like oil and …
Zhang Chang, Zhu Zixu, Zhao Long +2
This study uses LandTrendr time series analysis on GEE and Landsat data (2001-2023) to assess vegetation carbon sink dynamics in Beijing, identifying disturbance and restoration processes. It constructs a 3D evaluation system for disturbanc…
She Houde
This study develops Ru-C3N4/MnOx Z-scheme heterojunction photothermal catalysts achieving highly selective CO2 methanation. Characterization via XRD, UV-vis, and electrochemical analysis reveals that the photothermal synergistic effect enha…
Jia Di Yang, Matthew Jones, Philipp Dechent +7
This dataset evaluates cell-to-cell variability in low-cost LFP cells for off-grid storage in Sub-Saharan Africa. It combines electrochemical diagnostics and X-ray CT for 39 cells (30 fresh, 9 aged), enabling multimodal analysis linking str…
Yizhu Qiao, Xixiong Jin, Bohan A +6
This study demonstrates that increasing grain boundary density in polycrystalline Cu catalysts enhances C2+ selectivity from CO2 reduction. An optimal boundary density of 151 μm⁻¹ yields 88.06% Faradaic efficiency for C2+ products. The mech…
Tiefeng Zhang, Shengyu Xu, Shuangyu Yang
This dataset includes two years of wind power data from a 203 MW wind farm in northwestern China, corresponding real-time grid dispatch instructions, and MATLAB/Simulink simulation code for a feedback-driven sizing and constraint-aware powe…
Feng-Qin Li, Bing-Yuan Dai, Hui Xu +9
This paper reports a novel spindle-shaped Ni single-atom catalyst for efficient CO2-to-CO conversion and Zn-CO2 battery applications, using a dual-ligand strategy for morphology control. The catalyst exhibits high electrochemical performanc…
Zhesi Cui, Qiyu Chen
CarbGeo-3D is a large-scale synthetic dataset of paired 3D lithological and resistivity models for carbonate geothermal reservoirs. With 5,000 data pairs, it supports data-driven subsurface characterization, machine learning, and geophysica…
曾尚红
This paper introduces Pr(OH)3 nanorods onto Cu nanosheets to prevent Cu over-reduction during CO2 electroreduction, creating asymmetric active sites. The 12.7% Pr(OH)3/Cu catalyst achieves 50.2% Faradaic efficiency for C2H4 at an industrial…
Zheng Liang, Li Shenshen, Hu Xuefei +2
This dataset provides monthly carbon emission predictions at 0.01 degree resolution for Beijing and surrounding areas from 2019-2024, generated using a weakly supervised neural network (CCFI-Net) that integrates remote sensing, meteorologic…
zhu hong, Guo Chunli, Shenyan Peak
A stabilization strategy for sulfur species in coal-derived hard carbon anodes using micropore confinement and chemical bonding is proposed. It achieves high reversible capacity of 450 mAh/g after 800 cycles, improving sodium-ion battery pe…
(著者不明)
This paper proposes a bidirectional temporal convolutional network combined with exogenous variable enhancement for carbon market price forecasting, aiming to improve prediction accuracy. It uniquely merges machine learning techniques with …
İsa AKAR, İsmail TOSUN
This semi-systematic review examines how biochar addition to anaerobic digestion enhances methane yield, removes H₂S/CO₂ in situ, and sequesters carbon. It maps three public health co-benefits: reduced tropospheric ozone from lower methane,…
Ridwan Adithiansyah, A. Faroby Falatehan, Sri Mulatsih
This paper develops a budget allocation strategy for GHG mitigation in the waste sector of Bogor City, Indonesia, using the QSPM framework. Spending data from 2017–2024 was reclassified into core mitigation, downstream, and support categori…
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