cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25346/s6eecgix/gb1iwv
title: msXV_128r_47_26.tif
DOI: 10.25346/s6eecgix/glbz6q
title: msXV_128r_47_25.tif
DOI: 10.25346/s6eecgix/utr4m2
title: msXV_128r_31_24.tif
DOI: 10.25346/s6eecgix/upbj3e
title: msXV_128r_31_23.tif
DOI: 10.25346/s6eecgix/3cmqwl
title: msXV_128r_31_22.tif
DOI: 10.25346/s6eecgix/bj1crf
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DOI: 10.25346/s6eecgix/5oe6aw
title: msXV_128r_31_20.tif
DOI: 10.25346/s6eecgix/j4ht3m
title: msXV_128r_31_19.tif
DOI: 10.25346/s6eecgix/yjqlfq
title: msXV_128r_31_18.tif
DOI: 10.25346/s6eecgix/em4zhk
title: msXV_128r_31_17.tif
DOI: 10.25346/s6eecgix/zgxtnf
title: msXV_128r_31_16.tif
DOI: 10.25346/s6eecgix/opa1cw
title: msXV_128r_31_15.tif
DOI: 10.25346/s6eecgix/prjcra
title: msXV_128r_31_14.tif
DOI: 10.25346/s6eecgix/kv2pgq
title: msXV_128r_31_13.tif
DOI: 10.25346/s6eecgix/tpjr8u
title: msXV_128r_15_12.tif
DOI: 10.25346/s6eecgix/cge1md
title: msXV_128r_15_11.tif
DOI: 10.25346/s6eecgix/v5dzh3
title: msXV_128r_15_10.tif
DOI: 10.25346/s6eecgix/eiczpn
title: msXV_128r_15_09.tif
DOI: 10.25346/s6eecgix/ade75e
title: msXV_128r_15_08.tif
DOI: 10.25346/s6eecgix/xaa5os
title: msXV_128r_15_07.tif
DOI: 10.25346/s6eecgix/orkyyy
title: msXV_128r_15_06.tif
DOI: 10.25346/s6eecgix/am3rpr
title: msXV_128r_15_05.tif
DOI: 10.25346/s6eecgix/d6dacb
title: msXV_128r_15_04.tif
DOI: 10.25346/s6eecgix/dv3yom
title: msXV_128r_15_03.tif
DOI: 10.25346/s6eecgix/womjt0
title: msXV_128r_15_02.tif
DOI: 10.25346/s6eecgix/my8tsf
title: msXV_128r_15_01.tif
DOI: 10.25346/s6eecgix/8aexfu
title: msXV_128r_0_ring.tif
DOI: 10.25346/s6eecgix/1jd8n4
title: msXV_128r.tif
DOI: 10.25346/s6eecgix/uskod9
title: skin.svg
DOI: 10.25346/s6eecgix/odke2i
title: skin.css
DOI: 10.25346/s6eecgix/57ghkl
title: plane_8.jpg
DOI: 10.25346/s6eecgix/fkunrc
title: plane_7.jpg
DOI: 10.25346/s6eecgix/kioehx
title: plane_6.jpg
DOI: 10.25346/s6eecgix/hijz2m
title: plane_5.jpg
DOI: 10.25346/s6eecgix/emzjn1
title: plane_4.jpg
DOI: 10.25346/s6eecgix/sqgofv
title: plane_3.jpg
DOI: 10.25346/s6eecgix/ennjhl
title: plane_2.jpg
DOI: 10.25346/s6eecgix/b6twlh
title: plane_1.jpg
DOI: 10.25346/s6eecgix/gqgcns
title: plane_0.jpg
DOI: 10.25346/s6eecgix/twyqpq
title: openlime.min.js
DOI: 10.25346/s6eecgix/uuvilx
title: info.json
DOI: 10.25346/s6eecgix/thy2xr
title: index.html
DOI: 10.25346/s6eecgix/nga2sg
title: skin.svg
DOI: 10.25346/s6eecgix/np02xv
title: skin.css
DOI: 10.25346/s6eecgix/jx6gtj
title: plane_8.jpg
DOI: 10.25346/s6eecgix/1e4y0x
title: plane_7.jpg
DOI: 10.25346/s6eecgix/4nvqfc
title: plane_6.jpg
DOI: 10.25346/s6eecgix/lzavwm
title: plane_5.jpg
DOI: 10.25346/s6eecgix/ntvubw
title: plane_4.jpg
DOI: 10.25346/s6eecgix/nc4w3r
title: plane_3.jpg
DOI: 10.25346/s6eecgix/pdmprh
title: plane_2.jpg
DOI: 10.25346/s6eecgix/nz9kd8
title: plane_1.jpg
DOI: 10.25346/s6eecgix/i3cwgo
title: plane_0.jpg
DOI: 10.25346/s6eecgix/fx53a7
title: openlime.min.js
DOI: 10.25346/s6eecgix/g5s9ze
title: materials.png
DOI: 10.25346/s6eecgix/dmtouh
title: info.json
DOI: 10.25346/s6eecgix/vawzvx
title: index.html
DOI: 10.25346/s6eecgix/rzre15
title: msXV_128r.relight
DOI: 10.25346/s6eecgix/axyqbg
title: msXV_128r_65_47.jpg
DOI: 10.25346/s6eecgix/8harjl
title: msXV_128r_65_46.jpg
DOI: 10.25346/s6eecgix/wb0agl
title: msXV_128r_65_45.jpg
DOI: 10.25346/s6eecgix/8zwixv
title: msXV_128r_65_44.jpg
DOI: 10.25346/s6eecgix/ffyxhj
title: msXV_128r_65_43.jpg
DOI: 10.25346/s6eecgix/ytxxrg
title: msXV_128r_65_42.jpg
DOI: 10.25346/s6eecgix/3srded
title: msXV_128r_65_41.jpg
DOI: 10.25346/s6eecgix/dm8pst
title: msXV_128r_65_40.jpg
DOI: 10.25346/s6eecgix/dvl2rt
title: msXV_128r_65_39.jpg
DOI: 10.25346/s6eecgix/yt19fa
title: msXV_128r_65_38.jpg
DOI: 10.25346/s6eecgix/ookprj
title: msXV_128r_65_37.jpg
DOI: 10.25346/s6eecgix/hlaeay
title: msXV_128r_47_36.jpg
DOI: 10.5281/zenodo.17282690
title: TIBBIY TURIZM KELAJAGI: INOVATSIYALAR VA STRATEGIC RIVOJLANISH.
DOI: 10.5281/zenodo.17282691
title: TIBBIY TURIZM KELAJAGI: INOVATSIYALAR VA STRATEGIC RIVOJLANISH.
DOI: 10.25346/s6eecgix/1fma25
title: msXV_128r_47_35.jpg
DOI: 10.25346/s6eecgix/kdrh5d
title: msXV_128r_47_34.jpg
DOI: 10.25346/s6eecgix/tl4vvf
title: msXV_128r_47_33.jpg
DOI: 10.25346/s6eecgix/qxqjwg
title: msXV_128r_47_32.jpg
DOI: 10.25346/s6eecgix/pmcu42
title: msXV_128r_47_31.jpg
DOI: 10.25346/s6eecgix/a8hflz
title: msXV_128r_47_30.jpg
DOI: 10.25346/s6eecgix/9lucci
title: msXV_128r_47_29.jpg
DOI: 10.25346/s6eecgix/i8seel
title: msXV_128r_47_28.jpg
DOI: 10.25346/s6eecgix/9yijjl
title: msXV_128r_47_27.jpg
DOI: 10.25346/s6eecgix/6qyqjc
title: msXV_128r_47_26.jpg
DOI: 10.25346/s6eecgix/htwtnl
title: msXV_128r_47_25.jpg
DOI: 10.25346/s6eecgix/y12phn
title: msXV_128r_31_24.jpg
DOI: 10.25346/s6eecgix/ymretw
title: msXV_128r_31_23.jpg
DOI: 10.25346/s6eecgix/ddffvt
title: msXV_128r_31_22.jpg
DOI: 10.25346/s6eecgix/7dxfnu
title: msXV_128r_31_21.jpg
DOI: 10.5281/zenodo.17262664
title: Data Release: Toward Low-Latency, High-Fidelity Calibration of the LIGO Detectors with Enhanced Monitoring Tools

description: This data release includes the photon calibrator and strain data required to produce figures 4, 5, and 6 in the publication "Toward Low-Latency, High-Fidelity Calibration of the LIGO Detectors with Enhanced Monitoring Tools" (arXiv:2508.08423)

The included HDF5 files contains the following three channels of timeseries data for the photon calibrator X-end, photon calibrator Y-end and strain, respectively, for the LIGO Hanford interferometer:



H1:CAL-PCALX_RX_PD_OUT_DQ

H1:CAL-PCALY_RX_PD_OUT_DQ

H1:GDS-CALIB_STRAIN


Each file name contains the GPS start time and the duration (in seconds) of the contained data set.

The code repository for producing figures 4, 5, and 6 in arXiv:2508.08423 can be found at the following link:

https://git.ligo.org/Calibration/calmonitor
DOI: 10.25346/s6eecgix/wthbcp
title: msXV_128r_31_20.jpg
DOI: 10.5281/zenodo.17262663
title: Data Release: Toward Low-Latency, High-Fidelity Calibration of the LIGO Detectors with Enhanced Monitoring Tools

description: This data release includes the photon calibrator and strain data required to produce figures 4, 5, and 6 in the publication "Toward Low-Latency, High-Fidelity Calibration of the LIGO Detectors with Enhanced Monitoring Tools" (arXiv:2508.08423)

The included HDF5 files contains the following three channels of timeseries data for the photon calibrator X-end, photon calibrator Y-end and strain, respectively, for the LIGO Hanford interferometer:



H1:CAL-PCALX_RX_PD_OUT_DQ

H1:CAL-PCALY_RX_PD_OUT_DQ

H1:GDS-CALIB_STRAIN


Each file name contains the GPS start time and the duration (in seconds) of the contained data set.

The code repository for producing figures 4, 5, and 6 in arXiv:2508.08423 can be found at the following link:

https://git.ligo.org/Calibration/calmonitor
DOI: 10.25346/s6eecgix/jcpdhe
title: msXV_128r_31_19.jpg
DOI: 10.25346/s6eecgix/aae5up
title: msXV_128r_31_18.jpg
DOI: 10.25346/s6eecgix/lmoypl
title: msXV_128r_31_17.jpg
DOI: 10.25346/s6eecgix/m6klqr
title: msXV_128r_31_16.jpg
DOI: 10.26023/2znh-ym38-kh05
title: PERiLS_2022: CLAMPS1 Doppler Lidar VAD Data. Version 1.0

description: VAD (Velocity Azimuth Display) observations from the University of Oklahoma/NSSL CLAMPS1 (Collaborative Lower Atmospheric Mobile Profiling System 1) Doppler Lidar that was deployed at Lake Village, Arkansas for the PERiLS_2022 campaign.
DOI: 10.25346/s6eecgix/tkiex0
title: msXV_128r_31_15.jpg
DOI: 10.25346/s6eecgix/jbl1iw
title: msXV_128r_31_14.jpg
DOI: 10.25346/s6eecgix/qqflsn
title: msXV_128r_31_13.jpg
DOI: 10.25346/s6eecgix/rryfkj
title: msXV_128r_15_12.jpg
DOI: 10.25346/s6eecgix/08p6qe
title: msXV_128r_15_11.jpg
DOI: 10.25346/s6eecgix/51k9o2
title: msXV_128r_15_10.jpg
DOI: 10.25346/s6eecgix/ugsebz
title: msXV_128r_15_09.jpg
DOI: 10.25346/s6eecgix/xbjijp
title: msXV_128r_15_08.jpg
DOI: 10.25346/s6eecgix/wjclgj
title: msXV_128r_15_07.jpg
DOI: 10.25346/s6eecgix/79hztb
title: msXV_128r_15_06.jpg
DOI: 10.25346/s6eecgix/6mcwxw
title: msXV_128r_15_05.jpg
DOI: 10.25346/s6eecgix/q5igdq
title: msXV_128r_15_04.jpg
DOI: 10.25346/s6eecgix/vldh8i
title: msXV_128r_15_03.jpg
DOI: 10.25346/s6eecgix/c0bkit
title: msXV_128r_15_02.jpg
DOI: 10.25346/s6eecgix/ftaeva
title: msXV_128r_15_01.jpg
DOI: 10.25346/s6eecgix/qemkrf
title: msXV_128r_0_ring.jpg
DOI: 10.25346/s6eecgix/swqc3i
title: msXV_128r.jpg
DOI: 10.25346/s6eecgix/vuwloy
title: msXV_108v_65_48.tif
DOI: 10.25346/s6eecgix/ikx1dy
title: msXV_108v_65_47.tif
DOI: 10.25346/s6eecgix/e2fsjy
title: msXV_108v_65_46.tif
DOI: 10.25346/s6eecgix/rkj9te
title: msXV_108v_65_45.tif
DOI: 10.25346/s6eecgix/kaclan
title: msXV_108v_65_44.tif
DOI: 10.25346/s6eecgix/khpegf
title: msXV_108v_65_43.tif
DOI: 10.25346/s6eecgix/y9y8ui
title: msXV_108v_65_42.tif
DOI: 10.25346/s6eecgix/d4q1fk
title: msXV_108v_65_41.tif
DOI: 10.25346/s6eecgix/rwmg6b
title: msXV_108v_65_40.tif
DOI: 10.25346/s6eecgix/ejsf3k
title: msXV_108v_65_39.tif
DOI: 10.25346/s6eecgix/1ydvf4
title: msXV_108v_65_38.tif
DOI: 10.25346/s6eecgix/4cbaww
title: msXV_108v_65_37.tif
DOI: 10.25346/s6eecgix/ggo4zg
title: msXV_108v_46_36.tif
DOI: 10.25346/s6eecgix/58ivd5
title: msXV_108v_46_35.tif
DOI: 10.25346/s6eecgix/r3dlxj
title: msXV_108v_46_34.tif
DOI: 10.25346/s6eecgix/hpj2w3
title: msXV_108v_46_33.tif
DOI: 10.25346/s6eecgix/7giwfr
title: msXV_108v_46_32.tif
DOI: 10.25346/s6eecgix/e2mapm
title: msXV_108v_46_31.tif
DOI: 10.25346/s6eecgix/d0kqmh
title: msXV_108v_46_30.tif
DOI: 10.25346/s6eecgix/xjncz7
title: msXV_108v_46_29.tif
DOI: 10.25346/s6eecgix/zrtfhg
title: msXV_108v_46_28.tif
DOI: 10.25346/s6eecgix/7l0gsa
title: msXV_108v_46_27.tif
DOI: 10.25346/s6eecgix/8z0d0y
title: msXV_108v_46_26.tif
DOI: 10.25346/s6eecgix/fb69ho
title: msXV_108v_46_25.tif
DOI: 10.25346/s6eecgix/r1s8ti
title: msXV_108v_31_24.tif
DOI: 10.25346/s6eecgix/b9cfui
title: msXV_108v_31_23.tif
DOI: 10.25346/s6eecgix/ccalhi
title: msXV_108v_31_22.tif
DOI: 10.25346/s6eecgix/z2oc3t
title: msXV_108v_31_21.tif
DOI: 10.25346/s6eecgix/ubab2n
title: msXV_108v_31_20.tif
DOI: 10.25346/s6eecgix/d2gq66
title: msXV_108v_31_19.tif
DOI: 10.25346/s6eecgix/8mmv6y
title: msXV_108v_31_18.tif
DOI: 10.25346/s6eecgix/ceurcn
title: msXV_108v_31_17.tif
DOI: 10.25346/s6eecgix/wgx0r7
title: msXV_108v_31_16.tif
DOI: 10.25346/s6eecgix/swvmdz
title: msXV_108v_31_15.tif
DOI: 10.25346/s6eecgix/ysekcq
title: msXV_108v_31_14.tif
DOI: 10.25346/s6eecgix/vqpzc5
title: msXV_108v_31_13.tif
DOI: 10.25346/s6eecgix/gjorua
title: msXV_108v_15_12.tif
DOI: 10.25346/s6eecgix/lmorpu
title: msXV_108v_15_11.tif
DOI: 10.25346/s6eecgix/fczj9k
title: msXV_108v_15_10.tif
DOI: 10.25346/s6eecgix/lipmdb
title: msXV_108v_15_09.tif
DOI: 10.25346/s6eecgix/etuajx
title: msXV_108v_15_08.tif
DOI: 10.25346/s6eecgix/pjconc
title: msXV_108v_15_07.tif
DOI: 10.25346/s6eecgix/uru48q
title: msXV_108v_15_06.tif
DOI: 10.25346/s6eecgix/ymif90
title: msXV_108v_15_05.tif
DOI: 10.25346/s6eecgix/sixout
title: msXV_108v_15_04.tif
DOI: 10.25346/s6eecgix/ffoavk
title: msXV_108v_15_03.tif
DOI: 10.25346/s6eecgix/aoaqbr
title: msXV_108v_15_02.tif
DOI: 10.25346/s6eecgix/4it6lq
title: msXV_108v_15_01.tif
DOI: 10.25346/s6eecgix/mazldp
title: msXV_108v_0_ring.tif
DOI: 10.25346/s6eecgix/ty4jxo
title: msXV_108v.tif
DOI: 10.25346/s6eecgix/wbw7s5
title: skin.svg
DOI: 10.25346/s6eecgix/5b89mp
title: skin.css
DOI: 10.25346/s6eecgix/2lo7py
title: plane_8.jpg
DOI: 10.25346/s6eecgix/rt1ryd
title: plane_7.jpg
DOI: 10.25346/s6eecgix/axhu8r
title: plane_6.jpg
DOI: 10.25346/s6eecgix/fg7spg
title: plane_5.jpg
DOI: 10.25346/s6eecgix/ktiwba
title: plane_4.jpg
DOI: 10.25346/s6eecgix/bhaw3q
title: plane_3.jpg
DOI: 10.25346/s6eecgix/8bjnp8
title: plane_2.jpg
DOI: 10.25346/s6eecgix/zym2td
title: plane_1.jpg
DOI: 10.25346/s6eecgix/atfoyf
title: plane_0.jpg
DOI: 10.25346/s6eecgix/jgqxgz
title: openlime.min.js
DOI: 10.25346/s6eecgix/puv3sh
title: info.json
DOI: 10.25346/s6eecgix/21e7gy
title: index.html
DOI: 10.25346/s6eecgix/rv6x4j
title: skin.svg
DOI: 10.25346/s6eecgix/y22xel
title: skin.css
DOI: 10.25346/s6eecgix/pqbt8j
title: plane_8.jpg
DOI: 10.25346/s6eecgix/sszqir
title: plane_7.jpg
DOI: 10.25346/s6eecgix/tx6o5e
title: plane_6.jpg
DOI: 10.25346/s6eecgix/tqsbej
title: plane_5.jpg
DOI: 10.25346/s6eecgix/7yqqop
title: plane_4.jpg
DOI: 10.5281/zenodo.17282694
title: ЎЗБЕКИСТОНДА ҚУРЪОН ТАЪЛИМИГА ЭЪТИБОР:  ЎТМИШ ВА БУГУН
DOI: 10.5281/zenodo.17282695
title: ЎЗБЕКИСТОНДА ҚУРЪОН ТАЪЛИМИГА ЭЪТИБОР:  ЎТМИШ ВА БУГУН
DOI: 10.25346/s6eecgix/b7wydr
title: plane_3.jpg
DOI: 10.25346/s6eecgix/jisprh
title: plane_2.jpg
DOI: 10.25346/s6eecgix/d7b5ei
title: plane_1.jpg
DOI: 10.25346/s6eecgix/ehnxx5
title: plane_0.jpg
DOI: 10.25346/s6eecgix/ghfo4o
title: openlime.min.js
DOI: 10.25346/s6eecgix/4yqqqh
title: materials.png
DOI: 10.25346/s6eecgix/mdd05t
title: info.json
DOI: 10.25346/s6eecgix/ueinyz
title: index.html
DOI: 10.25346/s6eecgix/pphoip
title: msXV_108v.relight
DOI: 10.25346/s6eecgix/ai9fzs
title: msXV_108v_65_48.jpg
DOI: 10.25346/s6eecgix/qyfwsr
title: msXV_108v_65_47.jpg
DOI: 10.25346/s6eecgix/rnlgd7
title: msXV_108v_65_46.jpg
DOI: 10.25346/s6eecgix/n1fqtu
title: msXV_108v_65_45.jpg
DOI: 10.25346/s6eecgix/t4uv2n
title: msXV_108v_65_44.jpg
DOI: 10.25346/s6eecgix/upgofl
title: msXV_108v_65_43.jpg
DOI: 10.25346/s6eecgix/rkxnme
title: msXV_108v_65_42.jpg
DOI: 10.25346/s6eecgix/bev9jw
title: msXV_108v_65_41.jpg
DOI: 10.25346/s6eecgix/opw9o2
title: msXV_108v_65_40.jpg
DOI: 10.25346/s6eecgix/gm04xt
title: msXV_108v_65_39.jpg
DOI: 10.25346/s6eecgix/h3lsul
title: msXV_108v_65_38.jpg
DOI: 10.25346/s6eecgix/iougr4
title: msXV_108v_65_37.jpg
DOI: 10.25346/s6eecgix/nv4iue
title: msXV_108v_46_36.jpg
DOI: 10.25346/s6eecgix/kcq7fz
title: msXV_108v_46_35.jpg
DOI: 10.25346/s6eecgix/onk9p5
title: msXV_108v_46_34.jpg
DOI: 10.25346/s6eecgix/k0rkws
title: msXV_108v_46_33.jpg
DOI: 10.25346/s6eecgix/njdtro
title: msXV_108v_46_32.jpg
DOI: 10.26023/bb1s-1gq8-8n12
title: PERiLS_2022: CLAMPS1 Doppler Lidar Vertical Stare Data. Version 1.0

description: Vertical stare observations from the University of Oklahoma/NSSL CLAMPS1 (Collaborative Lower Atmospheric Mobile Profiling System 1) Doppler Lidar that was deployed at Lake Village, Arkansas for the PERiLS_2022 campaign.
DOI: 10.25346/s6eecgix/kgrkjr
title: msXV_108v_46_31.jpg
DOI: 10.25346/s6eecgix/nb1muc
title: msXV_108v_46_30.jpg
DOI: 10.25346/s6eecgix/xsl3sf
title: msXV_108v_46_29.jpg
DOI: 10.25346/s6eecgix/ldmxw7
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DOI: 10.5281/zenodo.17282704
title: SOMATIC METAPHORS IN INTERCULTURAL TRANSLATION: INSIGHTS FROM ENGLISH AND RUSSIAN CASE STUDIES
DOI: 10.5281/zenodo.17282705
title: SOMATIC METAPHORS IN INTERCULTURAL TRANSLATION: INSIGHTS FROM ENGLISH AND RUSSIAN CASE STUDIES
DOI: 10.25346/s6eecgix/gkufce
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DOI: 10.5281/zenodo.15253614
title: Spatio-Temporal Dataset of Carbon Intensity in Utsunomiya City, Japan

description: This dataset presents the spatio-temporal distribution of CO₂ emission factors associated with electricity consumption in Utsunomiya City, Tochigi Prefecture, Japan. Carbon intensity was calculated using aggregated electricity consumption data at the 1-km mesh level, without referencing individual consumers, to preserve data privacy. The estimates incorporate photovoltaic (PV) generation and behind-the-meter (BTM) self-consumption, along with the temporal variation in the grid electricity mix.

Each dataset provides lifecycle CO₂ emission factors (kg-CO₂/kWh) at a temporal resolution of 30 minutes and a spatial resolution of 1 km², covering 344 areas across the city in fiscal years 2022 and 2024.

The first row of each FY****_carbon_intensity_344meshes.csv file contains the mesh IDs corresponding to each area. Geographical coordinates for the meshes are provided in the respective meshcode_FY****.csv files, expressed in latitude and longitude based on the World Geodetic System.

In this updated version (v2), the dataset has been expanded and refined as follows:





The 2022 dataset has been updated (FY2022_carbon_intensity_344meshes.csv) based on the latest smart-meter data provided by the Secured Meter Data Sharing Association, which corrected part of the previously released dataset.




A new dataset for fiscal year 2024 has been added (FY2024_carbon_intensity_344meshes.csv). As the available meshes slightly differ from those in 2022, the corresponding mesh list is included (meshcode_FY2024.csv).




For both fiscal years, emission factors related to specific generation types (pumped-storage and biomass power) and interconnection power flows have been revised.



By quantifying the intra-city variation in carbon intensity, this dataset aims to support applications such as the optimal allocation of distributed energy resources and the development of demand-response strategies.Details of the carbon intensity calculation methodology are available in the following publication:

Soma Sugano et al., Quantifying spatio-temporal carbon intensity within a city using large-scale smart meter data: Unveiling the impact of behind-the-meter generation, Applied Energy, Volume 383, 2025, DOI: 10.1016/j.apenergy.2025.125373