cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.58119/ulg/uowrsl/fjpuaj
title: mp-9126.json

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DOI: 10.58119/ulg/uowrsl/ynbmq9
title: mp-1285.json

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DOI: 10.58119/ulg/uowrsl/swbzy2
title: mp-14039.json

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DOI: 10.58119/ulg/uowrsl/ekbxl4
title: mp-561902.json

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DOI: 10.58119/ulg/uowrsl/e9hpju
title: mp-1522.json

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DOI: 10.58119/ulg/uowrsl/gwpo8x
title: mp-22261.json

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DOI: 10.58119/ulg/uowrsl/hswfqr
title: mp-753946.json

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DOI: 10.58119/ulg/uowrsl/ex1qnt
title: mp-5048.json

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DOI: 10.58119/ulg/uowrsl/eabhim
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DOI: 10.58119/ulg/uowrsl/u5eoa8
title: mp-23804.json

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DOI: 10.58119/ulg/uowrsl/oh4jyo
title: mp-865185.json

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DOI: 10.58119/ulg/uowrsl/tyzyhp
title: mp-989639.json

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DOI: 10.58119/ulg/uowrsl/hloho1
title: mp-38011.json

description: :unav
DOI: 10.5519/qd.a38ctu7g
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.58119/ulg/uowrsl/tlgd1s
title: mp-13949.json

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DOI: 10.58119/ulg/uowrsl/xuvvc9
title: mp-7128.json

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DOI: 10.58119/ulg/uowrsl/exm7dg
title: mp-22905.json

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DOI: 10.58119/ulg/uowrsl/g4qnp7
title: mp-676861.json

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DOI: 10.58119/ulg/uowrsl/aylp0c
title: mp-35152.json

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DOI: 10.58119/ulg/uowrsl/hrujwl
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DOI: 10.58119/ulg/uowrsl/edikze
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DOI: 10.58119/ulg/uowrsl/vsnqys
title: mp-997086.json

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DOI: 10.58119/ulg/uowrsl/gypfev
title: mp-559695.json

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DOI: 10.58119/ulg/uowrsl/uppcmp
title: mp-989527.json

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DOI: 10.58119/ulg/uowrsl/jqjcwf
title: mp-27456.json

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DOI: 10.58119/ulg/uowrsl/wzekb1
title: mp-568052.json

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DOI: 10.58119/ulg/uowrsl/3fqvgr
title: mp-2469.json

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DOI: 10.58119/ulg/uowrsl/e8luie
title: mp-626785.json

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DOI: 10.58119/ulg/uowrsl/a7qd5g
title: mp-568544.json

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DOI: 10.58119/ulg/uowrsl/ofidts
title: mp-998433.json

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DOI: 10.58119/ulg/uowrsl/0lztzw
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DOI: 10.58119/ulg/uowrsl/lbiecr
title: mp-3668.json

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DOI: 10.58119/ulg/uowrsl/ezpsjc
title: mp-14017.json

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DOI: 10.58119/ulg/uowrsl/hwmnom
title: mp-27829.json

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DOI: 10.58119/ulg/uowrsl/dduumt
title: mp-3038.json

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DOI: 10.58119/ulg/uowrsl/5xsdba
title: mp-7436.json

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DOI: 10.58119/ulg/uowrsl/llso4w
title: mp-10155.json

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DOI: 10.58119/ulg/uowrsl/visazy
title: mp-3519.json

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DOI: 10.58119/ulg/uowrsl/5pkzu2
title: mp-6983.json

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DOI: 10.58119/ulg/uowrsl/5yg682
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DOI: 10.58119/ulg/uowrsl/oieh0n
title: mp-32616.json

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DOI: 10.58119/ulg/uowrsl/0qtsmq
title: mp-754535.json

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DOI: 10.58119/ulg/uowrsl/whv6ph
title: mp-9839.json

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DOI: 10.58119/ulg/uowrsl/7yp8cc
title: mp-8812.json

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DOI: 10.58119/ulg/uowrsl/7zcfih
title: mp-1569.json

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DOI: 10.58119/ulg/uowrsl/c28vtz
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DOI: 10.58119/ulg/uowrsl/h3cnwh
title: mp-8041.json

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DOI: 10.58119/ulg/uowrsl/yehyrp
title: mp-2488.json

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DOI: 10.58119/ulg/uowrsl/9bkzyi
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DOI: 10.58119/ulg/uowrsl/refn98
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DOI: 10.58119/ulg/uowrsl/1bmhpo
title: mp-27193.json

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DOI: 10.58119/ulg/uowrsl/n70l3q
title: mp-7907.json

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DOI: 10.58119/ulg/uowrsl/olnahe
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DOI: 10.58119/ulg/uowrsl/vt8pnz
title: mp-9672.json

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DOI: 10.58119/ulg/uowrsl/kyrzqf
title: mp-5478.json

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DOI: 10.58119/ulg/uowrsl/jyavcr
title: mp-20832.json

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DOI: 10.58119/ulg/uowrsl/wpkot3
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DOI: 10.58119/ulg/uowrsl/beoglg
title: mp-989529.json

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DOI: 10.58119/ulg/uowrsl/oowt32
title: mp-581024.json

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DOI: 10.58119/ulg/uowrsl/qhvq6p
title: mp-9383.json

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DOI: 10.58119/ulg/uowrsl/odxkxx
title: mp-23956.json

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DOI: 10.58119/ulg/uowrsl/bgxp9g
title: mp-3167.json

description: :unav
DOI: 10.58119/ulg/uowrsl/kjulbo
title: mp-29209.json

description: :unav
DOI: 10.58119/ulg/uowrsl/xtodxv
title: mp-867203.json

description: :unav
DOI: 10.58119/ulg/uowrsl/yn6gm6
title: mp-28171.json

description: :unav
DOI: 10.58119/ulg/uowrsl/fbagcs
title: mp-8857.json

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DOI: 10.58119/ulg/uowrsl/och21k
title: mp-8277.json

description: :unav
DOI: 10.58119/ulg/uowrsl/vwg5gk
title: mp-28627.json

description: :unav
DOI: 10.58119/ulg/uowrsl/ogqgee
title: mp-3288.json

description: :unav
DOI: 10.58119/ulg/uowrsl/aizzin
title: mp-4124.json

description: :unav
DOI: 10.58119/ulg/uowrsl/fdibbn
title: mp-961661.json

description: :unav
DOI: 10.58119/ulg/uowrsl/dclyth
title: mp-27869.json

description: :unav
DOI: 10.58119/ulg/uowrsl/uxqppj
title: mp-5928.json

description: :unav
DOI: 10.58119/ulg/uowrsl/vl4yiy
title: mp-28266.json

description: :unav
DOI: 10.58119/ulg/uowrsl/l073rc
title: mp-755013.json

description: :unav
DOI: 10.58119/ulg/uowrsl/sbfyct
title: mp-14333.json

description: :unav
DOI: 10.58119/ulg/uowrsl/srkp4r
title: mp-27791.json

description: :unav
DOI: 10.58119/ulg/uowrsl/dfwmti
title: mp-486.json

description: :unav
DOI: 10.58119/ulg/uowrsl/tm5ldv
title: mp-3589.json

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DOI: 10.58119/ulg/uowrsl/xtk33x
title: mp-8212.json

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DOI: 10.58119/ulg/uowrsl/tqeqgp
title: mp-3104.json

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DOI: 10.58119/ulg/uowrsl/mmgnfh
title: mp-30373.json

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DOI: 10.58119/ulg/uowrsl/algz5y
title: mp-626151.json

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DOI: 10.58119/ulg/uowrsl/x9xt6c
title: mp-6560.json

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DOI: 10.58119/ulg/uowrsl/yyn2hh
title: mp-23054.json

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DOI: 10.58119/ulg/uowrsl/lbzgns
title: mp-27546.json

description: :unav
DOI: 10.58119/ulg/uowrsl/5xb0vk
title: mp-573755.json

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DOI: 10.58119/ulg/uowrsl/vhsknt
title: mp-8402.json

description: :unav
DOI: 10.58119/ulg/uowrsl/r8hnb7
title: mp-567558.json

description: :unav
DOI: 10.58119/ulg/uowrsl/rzhpmz
title: mp-989605.json

description: :unav
DOI: 10.58119/ulg/uowrsl/boi6zj
title: mp-616378.json

description: :unav
DOI: 10.58119/ulg/uowrsl/t4yrsh
title: mp-8759.json

description: :unav
DOI: 10.58119/ulg/uowrsl/geiwju
title: mp-14285.json

description: :unav
DOI: 10.58119/ulg/uowrsl/ipbr60
title: mp-1014244.json

description: :unav
DOI: 10.58119/ulg/uowrsl/ljqm6r
title: mp-864954.json

description: :unav
DOI: 10.58119/ulg/uowrsl/rdnkac
title: mp-1009792.json

description: :unav
DOI: 10.58119/ulg/uowrsl/qo3vml
title: mp-10918.json

description: :unav
DOI: 10.58119/ulg/uowrsl/wtqfpi
title: mp-5122.json

description: :unav
DOI: 10.58119/ulg/uowrsl/cj7f4j
title: mp-997041.json

description: :unav
DOI: 10.58119/ulg/uowrsl/gymmmm
title: mp-10474.json

description: :unav
DOI: 10.58119/ulg/uowrsl/fe9lao
title: mp-8224.json

description: :unav
DOI: 10.58119/ulg/uowrsl/n4gmyc
title: mp-9268.json

description: :unav
DOI: 10.58119/ulg/uowrsl/1c6b8m
title: mp-19851.json

description: :unav
DOI: 10.5281/zenodo.7782226
title: Weather Regime definition for the Euro-Atlantic sector (Daily, DFJM, 1979-2018) used for ACDC-ESM

description: <strong>Weather Regime definition for the Euro-Atlantic sector at daily resolution from 1979-2018 for December to March in CSV format</strong> <strong>TL;DR</strong>: this is the weather regime assignment based the method as set out by Swinda K.J. Falkena in 'Revisiting the identification of wintertime atmosphericcirculation regimes in the Euro-Atlantic sector' (10.1002/qj.3818). Daily data is provided for December to March for the period 1979-2018. <strong>Method Description </strong><br> The weather regime assignment can be obtained by applying <em>k</em>-means clustering to the full field data of geopotential height data. Following the observed circulation in reanalysis data, the optimal number of clusters is six. By incorporating a weak persistence constraint in the clustering procedure the assignment is stabilized, without changing the weather regime occurrence rates. The six regimes used have been labelled to indicate atmospheric state. Due to their symmetry, a name (Atlantic Ridge (AR), North Atlantic Oscillation (NAO) and Scandinavian Blocking (SB)) and state (positive (+) and negative (-)) are used to label each of the six weather regimes. It should be noted that the naming convention used, does not imply that the weather associated with these six weather regimes is similar to a definition that uses four or two clusters to classify the weather. Full details on the method can be found in: Swinda K.J. Falkena, et al, 'Revisiting the identification of wintertime atmosphericcirculation regimes in the Euro-Atlantic sector' (DOI:10.1002/qj.3818). The original implementation and source code can be found on gitHub via: github.com/SwindaKJ/Regimes_Public. <strong>Data structure description</strong><br> The file is provided in CSV (.csv) format with a semicolon (;) as separator. The first row stores the column labels. The columns contain the following: first column (or A) contains the valid-time Label: datetime Contents represent time with text as [DD/MM/YYYY]) second column (or B) contains the assigned weather regime Label: WR Contents represent the assigned cluster as an interger in the range [0,5] Meaning: 0="SB-", 1="AR+", 2="NAO-", 3="SB+", 4="NAO+", 5="AR-" <strong>DISCLAIMER</strong>: <em>the content of this dataset has been created with the greatest possible care. However, we invite to use the original assignement of weather regimes for critical applications and studies. </em>
description: Swinda K.J. Falkena was supported by the Centre for Doctoral Training in Mathematics of Planet Earth, with funding from the UK Engineering and Physical Sciences Research Council (EPSRC) (grant EP/L016613/1). Laurens P. Stoop received funding from the Netherlands Organization for Scientific Research (NWO) under Grant No. 647.003.005.
description: {"references": ["Falkena, SK, et.al.. Revisiting the identification of wintertime atmospheric circulation regimes in the Euro-Atlantic sector (2020). DOI:10.1002/qj.3818"]}
DOI: 10.58119/ulg/uowrsl/oikk6n
title: mp-4187.json

description: :unav
DOI: 10.5281/zenodo.7782225
title: Weather Regime definition for the Euro-Atlantic sector (Daily, DFJM, 1979-2018) used for ACDC-ESM

description: <strong>Weather Regime definition for the Euro-Atlantic sector at daily resolution from 1979-2018 for December to March in CSV format</strong> <strong>TL;DR</strong>: this is the weather regime assignment based the method as set out by Swinda K.J. Falkena in 'Revisiting the identification of wintertime atmosphericcirculation regimes in the Euro-Atlantic sector' (10.1002/qj.3818). Daily data is provided for December to March for the period 1979-2018. <strong>Method Description </strong><br> The weather regime assignment can be obtained by applying <em>k</em>-means clustering to the full field data of geopotential height data. Following the observed circulation in reanalysis data, the optimal number of clusters is six. By incorporating a weak persistence constraint in the clustering procedure the assignment is stabilized, without changing the weather regime occurrence rates. The six regimes used have been labelled to indicate atmospheric state. Due to their symmetry, a name (Atlantic Ridge (AR), North Atlantic Oscillation (NAO) and Scandinavian Blocking (SB)) and state (positive (+) and negative (-)) are used to label each of the six weather regimes. It should be noted that the naming convention used, does not imply that the weather associated with these six weather regimes is similar to a definition that uses four or two clusters to classify the weather. Full details on the method can be found in: Swinda K.J. Falkena, et al, 'Revisiting the identification of wintertime atmosphericcirculation regimes in the Euro-Atlantic sector' (DOI:10.1002/qj.3818). The original implementation and source code can be found on gitHub via: github.com/SwindaKJ/Regimes_Public. <strong>Data structure description</strong><br> The file is provided in CSV (.csv) format with a semicolon (;) as separator. The first row stores the column labels. The columns contain the following: first column (or A) contains the valid-time Label: datetime Contents represent time with text as [DD/MM/YYYY]) second column (or B) contains the assigned weather regime Label: WR Contents represent the assigned cluster as an interger in the range [0,5] Meaning: 0="SB-", 1="AR+", 2="NAO-", 3="SB+", 4="NAO+", 5="AR-" <strong>DISCLAIMER</strong>: <em>the content of this dataset has been created with the greatest possible care. However, we invite to use the original assignement of weather regimes for critical applications and studies. </em>
description: Swinda K.J. Falkena was supported by the Centre for Doctoral Training in Mathematics of Planet Earth, with funding from the UK Engineering and Physical Sciences Research Council (EPSRC) (grant EP/L016613/1). Laurens P. Stoop received funding from the Netherlands Organization for Scientific Research (NWO) under Grant No. 647.003.005.
description: {"references": ["Falkena, SK, et.al.. Revisiting the identification of wintertime atmospheric circulation regimes in the Euro-Atlantic sector (2020). DOI:10.1002/qj.3818"]}
DOI: 10.58119/ulg/uowrsl/duxlhh
title: mp-974603.json

description: :unav
DOI: 10.58119/ulg/uowrsl/tkateb
title: mp-2659.json

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DOI: 10.58119/ulg/uowrsl/waxp9a
title: mp-9872.json

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DOI: 10.58119/ulg/uowrsl/lrxkqh
title: mp-12779.json

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DOI: 10.58119/ulg/uowrsl/yhfarb
title: mp-8042.json

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DOI: 10.58119/ulg/uowrsl/9fqa6d
title: mp-27369.json

description: :unav
DOI: 10.58119/ulg/uowrsl/axgfl1
title: mp-28873.json

description: :unav
DOI: 10.58119/ulg/uowrsl/043pdo
title: mp-22473.json

description: :unav
DOI: 10.58119/ulg/uowrsl/fzf3he
title: mp-862871.json

description: :unav
DOI: 10.58119/ulg/uowrsl/jsku80
title: mp-7684.json

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DOI: 10.58119/ulg/uowrsl/h0o09q
title: mp-28084.json

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DOI: 10.58119/ulg/uowrsl/blxpoi
title: mp-541037.json

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DOI: 10.58119/ulg/uowrsl/fghnxk
title: mp-9063.json

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DOI: 10.58119/ulg/uowrsl/au7hv5
title: mp-23060.json

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DOI: 10.58119/ulg/uowrsl/zvxjth
title: mp-8452.json

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DOI: 10.58119/ulg/uowrsl/0z7oit
title: mp-8289.json

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DOI: 10.58119/ulg/uowrsl/qmkcou
title: mp-23137.json

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DOI: 10.5281/zenodo.7390479
title: Energy Climate dataset consitent with ENTSO-E TYNDP2020 studies (CSV & NetCDF) for ACDC-ESM

description: <strong>Energy Climate dataset consistent with ENTSO-E Pan-European Climatic Database (PECD 2021.3) in CSV and netCDF format</strong> <strong>TL;DR</strong>: this is a tidy and friendly version of a recreation of ENTSO-E's PECD 2021.3 data by using ERA5: hourly capacity factors for wind onshore, offshore, solar PV and hourly electricity demand are provided. All the data is provided for 28-71 climatic years (1950-2020 for wind and solar, 1982-2010 for demand). <strong>Description</strong><br> Country averages of energy-climate variables generated using the Python scripts, based on the ENTSO-E's TYNDP 2020 study. For the following scenario's data is available National trends 2025 (NT 2025) National trends 2030 (NT 2030) National trends 2040 (NT 2040) Distributed Energy 2030 (DE 2030) Distributed Energy 2040 (DE 2040) Global Ambitions (GA 2030) Global Ambitions (GA 2040) The time-series are at hourly resolution and the included variables are: Generation wind offshore (aggregated for all years per scenario in a .zip) Generation wind onshore (aggregated for all years per scenario in a .zip) Generation solar photovoltaic (aggregated for all years per scenario in a .zip) Total energy demand (all zones combined in single file per scenario) The Files are provided in CSV (.csv) & NetCDF (.nc). The data is given per ENTSO-E's bidding zone as used within the TYNDP2020.<br> <strong>DISCLAIMER</strong>: <em>the content of this dataset has been created with the greatest possible care. However, we invite to use the original data for critical applications and studies. </em>
description: Laurens P. Stoop received funding from the Netherlands Organization for Scientific Research (NWO) under Grant No. 647.003.005.
DOI: 10.5281/zenodo.7390478
title: Energy Climate dataset consitent with ENTSO-E TYNDP2020 studies (CSV & NetCDF) for ACDC-ESM

description: <strong>Energy Climate dataset consistent with ENTSO-E Pan-European Climatic Database (PECD 2021.3) in CSV and netCDF format</strong> <strong>TL;DR</strong>: this is a tidy and friendly version of a recreation of ENTSO-E's PECD 2021.3 data by using ERA5: hourly capacity factors for wind onshore, offshore, solar PV and hourly electricity demand are provided. All the data is provided for 28-71 climatic years (1950-2020 for wind and solar, 1982-2010 for demand). <strong>Description</strong><br> Country averages of energy-climate variables generated using the Python scripts, based on the ENTSO-E's TYNDP 2020 study. For the following scenario's data is available National trends 2025 (NT 2025) National trends 2030 (NT 2030) National trends 2040 (NT 2040) Distributed Energy 2030 (DE 2030) Distributed Energy 2040 (DE 2040) Global Ambitions (GA 2030) Global Ambitions (GA 2040) The time-series are at hourly resolution and the included variables are: Generation wind offshore (aggregated for all years per scenario in a .zip) Generation wind onshore (aggregated for all years per scenario in a .zip) Generation solar photovoltaic (aggregated for all years per scenario in a .zip) Total energy demand (all zones combined in single file per scenario) The Files are provided in CSV (.csv) & NetCDF (.nc). The data is given per ENTSO-E's bidding zone as used within the TYNDP2020.<br> <strong>DISCLAIMER</strong>: <em>the content of this dataset has been created with the greatest possible care. However, we invite to use the original data for critical applications and studies. </em>
description: Laurens P. Stoop received funding from the Netherlands Organization for Scientific Research (NWO) under Grant No. 647.003.005.
DOI: 10.25921/a2b1-1p04
title: EM2040 Water Column Sonar Data Collected During H13626
DOI: 10.6073/pasta/651f53d1340fc0131e05274672762f63
title: Lake Tahoe Historic Secchi depth

description: Historic Secchi depth (Water clarity) measurement of Lake Tahoe, CA/NV. There are two sampling stations Index (LTP, 39.0972 -120.155) and Mid-lake (MLTP, 39.1417 -120.0153). Observation at Index station started on 1967-07-28, and averaged sampling interval is around 14 days. Mid-lake station sampling has been started on 1980-04-29, and taken at approximately 33 days interval. See methods for details.
DOI: 10.6084/m9.figshare.3761562.v2541
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.58119/ulg/uowrsl/mczt7q
title: LICENSE

description: :unav
DOI: 10.58119/ulg/uowrsl/tlyday
title: mpid.dat

description: Example of Materials Project's ID
DOI: 10.58119/ulg/uowrsl/yckchp
title: mp-8207_output

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DOI: 10.58119/ulg/uowrsl/nk2id4
title: mp-7439_output

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DOI: 10.58119/ulg/uowrsl/iohhy1
title: mp-1330_output

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DOI: 10.58119/ulg/uowrsl/lzedxn
title: mp-12927_output

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DOI: 10.58119/ulg/uowrsl/yryx6o
title: mp-8724_output

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DOI: 10.58119/ulg/uowrsl/nzu7dh
title: mp-1591_output

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DOI: 10.58119/ulg/uowrsl/v5x3fd
title: mp-4586_output

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DOI: 10.58119/ulg/uowrsl/shwpwl
title: mp-23299_output

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DOI: 10.58119/ulg/uowrsl/5gu1bn
title: mp-3980_output

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DOI: 10.58119/ulg/uowrsl/sfmle2
title: mp-772290_output

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DOI: 10.58119/ulg/uowrsl/dxjked
title: mp-10219_output

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DOI: 10.58119/ulg/uowrsl/upg8v1
title: mp-10616_output

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