Peking University Open Research Data Platform

发布时间: 2022

11 to 20 of 1,864 结果

中国省份营商环境评价数据库2023：指标体系说明.pdf 2023-8-8 - Evaluation of Doing Business in Chinese Provinces Adobe PDF - 653.4 KB - MD5: 32c0e176ba28becf182b73c962c08f36
Replication Data for: Worldwide inference of national methane emissions from fossil fuel exploitation using high-resolution inversions of satellite data 2023-7-5 - Published data of Shen et al. Lu Shen, 2022, "Replication Data for: Worldwide inference of national methane emissions from fossil fuel exploitation using high-resolution inversions of satellite data", https://doi.org/10.18170/DVN/PRSYW1, 北京大学开放研究数据平台, V4, UNF:6:Q2eDh1dA1I8dQFwgV+8tFQ== [fileUNF]
Fig1_gridded_posterior_OG_Coal.nc 2023-7-5 - Replication Data for: Worldwide inference of national methane emissions from fossil fuel exploitation using high-resolution inversions of satellite data application/x-netcdf - 1.4 MB - MD5: c956fe6eb367c47d92752d6aba408888
Fig2_field_campaign.csv 2023-7-5 - Replication Data for: Worldwide inference of national methane emissions from fossil fuel exploitation using high-resolution inversions of satellite data text/comma-separated-values - 1.7 KB - MD5: 58190c78c277f729444c35391a8cacac
Fig_3.R 2023-7-5 - Replication Data for: Worldwide inference of national methane emissions from fossil fuel exploitation using high-resolution inversions of satellite data R Syntax - 12.5 KB - MD5: aeeb66efc47ea62b0fe21c3aa1561d4a
Fig4_Top20countries_Coal.csv 2023-7-5 - Replication Data for: Worldwide inference of national methane emissions from fossil fuel exploitation using high-resolution inversions of satellite data Comma Separated Values - 1.3 KB - MD5: eea0db0d3cf46c8b5de217a0f8d7b37e
Fig4_Top20countries_OG.csv 2023-7-5 - Replication Data for: Worldwide inference of national methane emissions from fossil fuel exploitation using high-resolution inversions of satellite data Comma Separated Values - 1.8 KB - MD5: e84bf854dc9b26d8f6ec32a676dcb0a7
readme.sh 2023-7-5 - Replication Data for: Worldwide inference of national methane emissions from fossil fuel exploitation using high-resolution inversions of satellite data text/x-sh - 1.5 KB - MD5: bfb5aec86849803dd485cfd2661034c2
TableS4_Country_scale_emissions.xlsx 2023-7-5 - Replication Data for: Worldwide inference of national methane emissions from fossil fuel exploitation using high-resolution inversions of satellite data MS Excel (XLSX) - 14.6 KB - MD5: e293217bad398ecac0a15ea41187c407
Carbon Monoxide (CO) retrievals from GIIRS onboard FY-4B 2023-6-14 - 风云四号地球同步卫星大气成分反演数据曾招城, 2022, "Carbon Monoxide (CO) retrievals from GIIRS onboard FY-4B", https://doi.org/10.18170/DVN/M7DKKL, 北京大学开放研究数据平台, V4

中国省份营商环境评价数据库2023：指标体系说明.pdf

2023-8-8 - Evaluation of Doing Business in Chinese Provinces

Adobe PDF - 653.4 KB - MD5: 32c0e176ba28becf182b73c962c08f36

Replication Data for: Worldwide inference of national methane emissions from fossil fuel exploitation using high-resolution inversions of satellite data

2023-7-5 - Published data of Shen et al.

Lu Shen, 2022, "Replication Data for: Worldwide inference of national methane emissions from fossil fuel exploitation using high-resolution inversions of satellite data", https://doi.org/10.18170/DVN/PRSYW1, 北京大学开放研究数据平台, V4, UNF:6:Q2eDh1dA1I8dQFwgV+8tFQ== [fileUNF]

Fig1_gridded_posterior_OG_Coal.nc

2023-7-5 - Replication Data for: Worldwide inference of national methane emissions from fossil fuel exploitation using high-resolution inversions of satellite data

application/x-netcdf - 1.4 MB - MD5: c956fe6eb367c47d92752d6aba408888

Fig2_field_campaign.csv

2023-7-5 - Replication Data for: Worldwide inference of national methane emissions from fossil fuel exploitation using high-resolution inversions of satellite data

text/comma-separated-values - 1.7 KB - MD5: 58190c78c277f729444c35391a8cacac

Fig_3.R

2023-7-5 - Replication Data for: Worldwide inference of national methane emissions from fossil fuel exploitation using high-resolution inversions of satellite data

R Syntax - 12.5 KB - MD5: aeeb66efc47ea62b0fe21c3aa1561d4a

Fig4_Top20countries_Coal.csv

2023-7-5 - Replication Data for: Worldwide inference of national methane emissions from fossil fuel exploitation using high-resolution inversions of satellite data

Comma Separated Values - 1.3 KB - MD5: eea0db0d3cf46c8b5de217a0f8d7b37e