cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25326/235
title: Liquid water path and Doppler radar moments observations from the 94 GHz FMCW-band radar deployed on R/V Maria S. Merian during EUREC4A campaign - V2

description: In the field campaign “Elucidating the Role of Clouds-Circulation Coupling in Climate” better known as EUREC4A (January 2020-February 2020), a 94 GHz dual polarization FMCW-band radar from Radiometer Physics GmbH was deployed on the R/V Maria S. Merian to collect observations of radar reflectivity, mean Doppler velocity, spectral width, and skewness of clouds in zenith pointing mode. The additional passive channel at 89 GHz of the radar allowed the retrieval of liquid water path (LWP). The zenith radar measurements were taken in the Atlantic Ocean south-east of Barbados between 19 January 2020 and 19 February 2020. The products provided are the integrated quantity of LWP as well as 2d fields resolved in time and height. Typical time resolution is 3s, while vertical resolution ranged between 7.5 m - 9 m below 3000 m and 34 m from 3000 m to 10000m, the maximum observation height. Data are provided in 2 formats: a “full” extended format including also Doppler spectrum and related variables structured in hourly files, and an “intake” format, where Doppler spectrum is not included, structured in daily files. The intake data is also accessible online via the EUREC4A intake catalog. All the files are in NetCDF format and the intake version is enhanced for CF compatibility.<br />
The radar was installed on the active stable table from the US-Atmospheric Radiation Measurement program mobile facility 2 (ARM-AMF2) to reduce the impact of ship motions on the Doppler zenith pointing observations (Coulter et al., 2016). The FMCW-radar data were post-processed using the post-processing script developed at the University of Cologne.<br />
An algorithm for correcting for ship motions was then applied to the mean Doppler velocity to correct for the heave motion and the remaining rotations the radar undergoes when positioned on the stable table. The liquid water path (LWP) was retrieved using a neural network approach developed by the radar manufacturer (RPG GmbH). The LWP retrieval and the entire correction algorithm are described in a data publication (Acquistapace et al., 2021) to be submitted to Earth System Science Data (ESSD). For correcting in the intervals of time in which the stable table did not work (approximately 35% of the total measurement time), horizontal wind speed and direction from the output of dedicated ICON simulations over the EUREC4A domain were used. The runs have 1.25 km spatial resolution and hourly time resolution. Simulations are initialised and nudged on the lateral boundaries by the operational analysis of the atmospheric state by the European Centre for Medium Range Weather Forecasts (ECMWF). The simulation setup follows Klocke et al. 2017.
DOI: 10.14457/cu.the.2006.2128
title: ศึกษาการใช้โปรแกรมการให้ความรู้ประคับประคองแบบกลุ่มต่อพฤติกรรมการดูแลตนเองของผู้ป่วยจิตเภทที่ป่วยซ้ำในสถาบันจิตเวชศาสตร์สมเด็จเจ้าพระยา
DOI: 10.14457/cu.the.2005.1920
title: การศึกษาการใช้โปรแกรมควบคุมความโกรธต่อการแสดงความโกรธของผู้ป่วยจิตเภท โรงพยาบาลไชโย จังหวัดอ่างทอง
DOI: 10.14457/cu.the.2006.2129
title: การศึกษาการใช้โปรแกรมส่งเสริมการรับรู้ความสามารถของตนเองต่อพฤติกรรมการดูแลเด็กกลุ่มอาการดาวน์ของมารดาในสถาบันราชานุกุล
DOI: 10.14457/cu.the.2006.2130
title: การศึกษาการใช้กลุ่มบำบัดทีเน้นการปรับเปลี่ยนพฤติกรรมความคิดต่อความสามารถในการเผชิญปัญหาของผู้ป่วยจิตเภท สถาบันจิตเวชศาสตร์สมเด็จเจ้าพระยา
DOI: 10.14457/cu.the.1986.71
title: การศึกษาต้นทุนและผลตอบแทนการลงทุนจากการปลูกข้าวโพดฝักอ่อน ศึกษาเฉพาะจังหวัดนครปฐมและสมุทรสาคร
DOI: 10.14457/cu.the.1986.72
title: ชนชั้นนำทางการเมืองไทยกับการกำหนดนโยบาย : ศึกษาเฉพาะกรณีการผลิตและจำหน่ายน้ำตาลทราย 2522-2525
DOI: 10.14457/cu.the.1986.73
title: ผลการใช้กิจกรรมการแนะแนวกลุ่มต่อนิสัยในการเรียน และทัศนคติทางการเรียนของนักเรียนชั้นมัธยมศึกษาปีที่หนึ่ง
DOI: 10.14457/cu.the.1986.74
title: ระบบบัญชีต้นทุนของอุตสาหกรรมอิฐทนไฟ
DOI: 10.14457/cu.the.1986.75
title: ฤทธิ์ของแอนซีสโตรเทคโตรีนต่อท่อน้ำเชื้ออสุจิที่แยกมาจากหนูขาว
DOI: 10.14457/cu.the.1986.76
title: Phytochemical studies of Aglaia pirifera stem bark
DOI: 10.14457/cu.the.1986.77
title: การปฏิบัตินโยบายสำหรับจังหวัดชายแดนภาคใต้ : ศึกษาเฉพาะกรณีจังหวัดนราธิวาส
DOI: 10.14457/cu.the.1986.78
title: การศึกษาสภาพการนิเทศการฝึกปฏิบัติของนักศึกษาพยาบาล ในคณะพยาบาลศาสตร์ มหาวิทยาลัยเชียงใหม่
DOI: 10.5281/zenodo.5044938
title: Supplemental_Tables_Jimenez2021

description: Supplemental tables for the paper entitled "Reactive oxygen species homeostasis and circadian rhythms in plants" by Ana Jiménez, Francisca Sevilla and María C. Martí.
DOI: 10.6084/m9.figshare.14883015
title: JVASP-4771.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883015.v1
title: JVASP-4771.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883027.v1
title: JVASP-4337.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883027
title: JVASP-4337.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883030
title: JVASP-4807.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883030.v1
title: JVASP-4807.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883042
title: JVASP-4816.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883042.v1
title: JVASP-4816.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883045.v1
title: JVASP-4373.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883045
title: JVASP-4373.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883048.v1
title: JVASP-4819.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883048
title: JVASP-4819.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883051.v1
title: JVASP-4376.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883051
title: JVASP-4376.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883060
title: JVASP-326.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883060.v1
title: JVASP-326.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883063
title: JVASP-198.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883063.v1
title: JVASP-198.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883066
title: JVASP-207.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883066.v1
title: JVASP-207.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883072.v1
title: JVASP-21.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883072
title: JVASP-21.zip

description: JARVIS-DFT data test
DOI: 10.5281/zenodo.5044950
title: Multi-type Aircraft of Remote Sensing Images: MTARSI 2

description: Multi-Type Aircraft of Remote Sensing Images (MTARSI 2) dataset of aircraft on runways. The dataset has had some reclassification into 42 classifications, and extra data augmentation in those classifications. It is an example of an unbalanced dataset, with challenges of different light and viewing angles. Originated from https://zenodo.org/record/3464319#.YNwk3-hKiUk. (MTARSI)
DOI: 10.6084/m9.figshare.14883105
title: JVASP-4924.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883105.v1
title: JVASP-4924.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883144.v1
title: JVASP-4948.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883144
title: JVASP-4948.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883153
title: JVASP-4957.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883153.v1
title: JVASP-4957.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883165.v1
title: JVASP-4969.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883165
title: JVASP-4969.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883168
title: JVASP-4975.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883168.v1
title: JVASP-4975.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883174
title: JVASP-4987.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883174.v1
title: JVASP-4987.zip

description: JARVIS-DFT data test
DOI: 10.24396/ordar-76
title: 2015 - Phage analyses in the Orne River- Moselle watershed - France

description: Phage detection and quantification in river waters
DOI: 10.5517/ccdc.csd.cc25ysfc
title: CCDC 2024623: Experimental Crystal Structure Determination

description: Related Article: Dmitry Dar'in,  Grigory Kantin,  Evgeny Chupakhin,  Vladimir Sharoyko,  Mikhail Krasavin|2021|Chem.-Eur.J.|27|8221|doi:10.1002/chem.202100880
DOI: 10.5517/ccdc.csd.cc27332k
title: CCDC 2058557: Experimental Crystal Structure Determination

description: Related Article: Dmitry Dar'in,  Grigory Kantin,  Evgeny Chupakhin,  Vladimir Sharoyko,  Mikhail Krasavin|2021|Chem.-Eur.J.|27|8221|doi:10.1002/chem.202100880
DOI: 10.5517/ccdc.csd.cc275hzx
title: CCDC 2060879: Experimental Crystal Structure Determination

description: Related Article: Andrew I. Carrick, Euan D. Doidge, Alexander Bouch, Gary S. Nichol, Jane Patrick, Emma R. Schofield, Carole A. Morrison, Jason B. Love|2021|Chem.-Eur.J.|27|8714|doi:10.1002/chem.202100630
DOI: 10.5517/ccdc.csd.cc27xjnc
title: CCDC 2083003: Experimental Crystal Structure Determination

description: Related Article: Jacob S. McMullen, Alison J. Edwards, Jamie Hicks|2021|Dalton Trans.|50|8685|doi:10.1039/D1DT01532J
DOI: 10.5517/ccdc.csd.cc284k66
title: CCDC 2089747: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Marc D. Walter|2021|CSD Communication|||
DOI: 10.6084/m9.figshare.14883207.v1
title: JVASP-5065.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883207
title: JVASP-5065.zip

description: JARVIS-DFT data test
DOI: 10.5258/soton/d1686
title: Dataset for Accurate Inverse Design of Fabry-Perot-Cavity-Based Color Filters far beyond sRGB via a Bidirectional Artificial Neural Network

description: Data to support article "Accurate inverse design of Fabry–Perot-cavity-based color filters far beyond sRGB via a bidirectional artificial neural network". Peng Dai, Yasi Wang, Yueqiang Hu, C. H. de Groot, Otto Muskens, Huigao Duan, and Ruomeng Huang. PHOTONICS Research. 10.1364/PRJ.415141
DOI: 10.6084/m9.figshare.14883234.v1
title: JVASP-5083.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883234
title: JVASP-5083.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883246.v1
title: JVASP-5089.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883246
title: JVASP-5089.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883249
title: JVASP-5095.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883249.v1
title: JVASP-5095.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883252
title: JVASP-5098.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883252.v1
title: JVASP-5098.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883261
title: JVASP-5107.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883261.v1
title: JVASP-5107.zip

description: JARVIS-DFT data test
DOI: 10.5281/zenodo.3351430
title: HySN5, daily, 1979 through 2000

description: Daily HySN5 data from 1979 through 2000. HySN5 is a high resolution HYbrid SeNorge data set of daily near surface humidity and surface incident shortwave and longwave radiation, and surface pressure created by merging reanalysis data (Era5) with a national 1-by-1 km gridded temperature data set, SeNorge2018. The assumptions and methods used to downscale humidity and longwave radiation are similar to those used in WATCH/PGMFD/NLDAS-1. The data has the same projection as SeNorge, UTM33, and is stored for precipitation days, i.e. the datestamp is day-month-year 06 UTC and the variable represents average value of the preceding 24 hours. Data from 2001 through 2017 are stored here. HySN5 is described, and compared to surface observations and other data sets in this article and its supplement: Helene Birkelund Erlandsen, Stein Beldring, Stephanie Eisner, Hege Hisdal, Shaochun Huang, Lena Merete Tallaksen; Constraining the HBV model for robust water balance assessments in a cold climate. <em><em>Hydrology Research</em></em> 1 April 2021; 52 (2): 356–372. doi: https://doi.org/10.2166/nh.2021.132. A previous version of the data set, derived from Era-Interim and SeNorge version 2 is described, and compared to surface observations and other data sets here: GitHub, Erlandsen, H. B., Tallaksen, L. M., and Kristiansen, J.: Merits of novel high-resolution estimates and existing long-term estimates of humidity and incident radiation in a complex domain, Earth Syst. Sci. Data, 11, 797-821, https://doi.org/10.5194/essd-11-797-2019, 2019, and in its supplement: Supplement of Earth Syst. Sci. Data, 11, 797–821, 2019 https://doi.org/10.5194/essd-11-797-2019-supplement.
DOI: 10.5281/zenodo.3351429
title: HySN5, daily, 1979 through 2000

description: Daily HySN5 data from 1979 through 2000. HySN5 is a high resolution HYbrid SeNorge data set of daily near surface humidity and surface incident shortwave and longwave radiation, and surface pressure created by merging reanalysis data (Era5) with a national 1-by-1 km gridded temperature data set, SeNorge2018. The assumptions and methods used to downscale humidity and longwave radiation are similar to those used in WATCH/PGMFD/NLDAS-1. The data has the same projection as SeNorge, UTM33, and is stored for precipitation days, i.e. the datestamp is day-month-year 06 UTC and the variable represents average value of the preceding 24 hours. Data from 2001 through 2017 are stored here. HySN5 is described, and compared to surface observations and other data sets in this article and its supplement: Helene Birkelund Erlandsen, Stein Beldring, Stephanie Eisner, Hege Hisdal, Shaochun Huang, Lena Merete Tallaksen; Constraining the HBV model for robust water balance assessments in a cold climate. <em><em>Hydrology Research</em></em> 1 April 2021; 52 (2): 356–372. doi: https://doi.org/10.2166/nh.2021.132. A previous version of the data set, derived from Era-Interim and SeNorge version 2 is described, and compared to surface observations and other data sets here: GitHub, Erlandsen, H. B., Tallaksen, L. M., and Kristiansen, J.: Merits of novel high-resolution estimates and existing long-term estimates of humidity and incident radiation in a complex domain, Earth Syst. Sci. Data, 11, 797-821, https://doi.org/10.5194/essd-11-797-2019, 2019, and in its supplement: Supplement of Earth Syst. Sci. Data, 11, 797–821, 2019 https://doi.org/10.5194/essd-11-797-2019-supplement.
DOI: 10.6084/m9.figshare.14883213
title: Multiple sequence alignment

description: Multiple sequence alignment for manuscript describing how whole genome sequencing can be used to investigate nosocomial SARS-CoV-2 infection
DOI: 10.6084/m9.figshare.14883213.v2
title: Multiple sequence alignment

description: Multiple sequence alignment for manuscript describing how whole genome sequencing can be used to investigate nosocomial SARS-CoV-2 infection
DOI: 10.6084/m9.figshare.14883213.v1
title: Multiple sequence alignment

description: Multiple sequence alignment for manuscript describing how whole genome sequencing can be used to investigate nosocomial SARS-CoV-2 infection
DOI: 10.6084/m9.figshare.14883288
title: JVASP-5122.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883288.v1
title: JVASP-5122.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14883216
title: Maximum likelihood phylogeny

description: Maximum likelihood phylogeny for paper describing the use of whole genome sequencing to investigate nosocomial SARS-CoV-2 infection
DOI: 10.6084/m9.figshare.14883216.v1
title: Maximum likelihood phylogeny

description: Maximum likelihood phylogeny for paper describing the use of whole genome sequencing to investigate nosocomial SARS-CoV-2 infection
DOI: 10.6084/m9.figshare.14883240
title: GVC_Dataset_Share.sav

description: This is the primary source of dataset collected through survey
DOI: 10.5281/zenodo.5042444
title: Increasing production efficiency and coping with climate change, while ensuring sustainability and resilience

description: Isolation and screening of rhizobia to identify élite isolates that can maximize biological N2 fixation (BNF) in legumes used as intercrops or green manure under combined stress
DOI: 10.25402/cer.14883231.v1
title: Supplementary Table 1. Switch rates and total cost associated with apremilast and biologics in biologic-naive patients with psoriatic arthritis.

description: Supplementary Table 1. Treatment switch details.
DOI: 10.6084/m9.figshare.14883219
title: Data Output.pdf

description: Virtual Classroom UsageData analysis on the Virtual Classroom usage indicates that the majority of the respondent agreed that virtual classroom is considered important in their role as a student in MMU. Majority of the respondents indicate that they strongly agree that virtual classroom is convenient for them (mean = 4.45, s.d.=.723), virtual classroom considered as part of attendance (mean=4.38, s.d.=.652), the virtual classroom for assignment submission (mean=4.32, s.d.=.735), enhance their digital skills (mean=4.25, s.d.=.718), communicate with lecturers via email (mean=4.25, s.d.=.686), communicate with fellow classmates via email (mean=4.20, s.d.=.748). Respondents also agree that virtual classroom will allow students who are shy (introvert) to excel from the pressures of the traditional classroom (mean=4.28, s.d.=.707), encouraged them to be more disciplined in completing blended learning submission (mean=4.19, s.d.=.852), making them feel less intimidating (mean=4.31, s.d.=.705), participate effectively in group discussions (mean=4.25, s.d.=.734), helps students who have a disability feature to participate in class virtually (mean=4.30, s.d.=.681), allow them to work on their own comfort (mean=4.42, s.d.=.609), allow them to do their work on their own time (mean=4.36, s.d.=.706), allow them to work in their own location (mean=4.42, s.d.=.629) and helps underprivileged students to participate (4.37, s.d.=.791).Level of Communication SkillsData analysis on the Communication skills indicate that most of the respondents agree that writing skills are important for them (mean=4.40, s.d.=.707), speaking is important (mean=4.36, s.d.=.769). Respondents also agreed that they have self-confidence (mean=4.34, s.d.=.756), feel that communication skills are important in the working field (mean=4.33, s.d.=.641). They also feel that it is important for them to communicate with lecturers (mean=4.16, s.d.=.724), communicate with their friends (mean=4.13, s.d.=.759), have a good relationship with lecturers (mean=4.18, s.d.=.758), have a good relationship with friends (mean=4.22, s.d.=.801), their ability on spoken skills (mean=4.07, s.d.=.920), ability on written skills (mean=4.16, s.d.=.758), ability to communicate verbally (mean=4.08, s.d.=.871), ability to communicate non-verbally (mean=4.11, s.d.=.858), have an English language proficiency (mean=4.16, s.d.=.793). Respondents also agreed that it is important for them to have a Malay language proficiency (mean=4.10, s.d.=.906) as well as communicate in a less intimidating atmosphere (mean=4.30, s.d.=.777). Correlation Analysis Between Virtual Classroom Usage and Level of Communication SkillsResults indicate that there is a significant relationship between virtual classroom usage and the level of communication skills among respondents (p=0.000, r=.628) with a moderate correlation between variables. This result indicates that the higher virtual classroom usage will lead to higher communication skills among respondents.
DOI: 10.25402/cer.14883231
title: Supplementary Table 1. Switch rates and total cost associated with apremilast and biologics in biologic-naive patients with psoriatic arthritis.

description: Supplementary Table 1. Treatment switch details.
DOI: 10.5281/zenodo.1970170
title: HySN Data set

description: HySN, a high resolution HYbrid SeNorge data set of daily near surface humidity and incident shortwave and longwave radiation, and surface pressure created by merging reanalysis data (Era-interim) with a national 1-by-1 km gridded temperature data set, SeNorgev2 (SeNorge v2.1 between 1979 and 2015, and SeNorge v2.0 from 2016). The assumptions and methods used to downscale humidity and longwave radiation are similar to those used in WATCH/PGMFD/NLDAS-1. The software used to compile the data is available at GitHub. The data is described, and compared to surface observations and other data sets here: Erlandsen, H. B., Tallaksen, L. M., and Kristiansen, J.: Merits of novel high-resolution estimates and existing long-term estimates of humidity and incident radiation in a complex domain, Earth Syst. Sci. Data, 11, 797-821, https://doi.org/10.5194/essd-11-797-2019, 2019, and in its supplement: Supplement of Earth Syst. Sci. Data, 11, 797–821, 2019 https://doi.org/10.5194/essd-11-797-2019-supplement . The data has the same projection as SeNorge, UTM33, and is stored for precipitation days, i.e. the datestamp is day-month-year 06 UTC and the variable represents average value of the preceding 24 hours. Monthly means of the data can be found here: https://doi.org/10.5281/zenodo.1993870 . Note that HySN5, a high resolution HYbrid SeNorge data set of daily near surface humidity and surface incident shortwave and longwave radiation, and surface pressure created by merging reanalysis data (Era5) with a national 1-by-1 km gridded temperature data set, SeNorge2018, is available from 1979-2000 (10.5281/zenodo.3351430) and 2001-2017 (10.5281/zenodo.3516560).
DOI: 10.5281/zenodo.1434801
title: HySN Data set

description: HySN, a high resolution HYbrid SeNorge data set of daily near surface humidity and incident shortwave and longwave radiation, and surface pressure created by merging reanalysis data (Era-interim) with a national 1-by-1 km gridded temperature data set, SeNorgev2 (SeNorge v2.1 between 1979 and 2015, and SeNorge v2.0 from 2016). The assumptions and methods used to downscale humidity and longwave radiation are similar to those used in WATCH/PGMFD/NLDAS-1. The software used to compile the data is available at GitHub. The data is described, and compared to surface observations and other data sets here: Erlandsen, H. B., Tallaksen, L. M., and Kristiansen, J.: Merits of novel high-resolution estimates and existing long-term estimates of humidity and incident radiation in a complex domain, Earth Syst. Sci. Data, 11, 797-821, https://doi.org/10.5194/essd-11-797-2019, 2019, and in its supplement: Supplement of Earth Syst. Sci. Data, 11, 797–821, 2019 https://doi.org/10.5194/essd-11-797-2019-supplement . The data has the same projection as SeNorge, UTM33, and is stored for precipitation days, i.e. the datestamp is day-month-year 06 UTC and the variable represents average value of the preceding 24 hours. Monthly means of the data can be found here: https://doi.org/10.5281/zenodo.1993870 . Note that HySN5, a high resolution HYbrid SeNorge data set of daily near surface humidity and surface incident shortwave and longwave radiation, and surface pressure created by merging reanalysis data (Era5) with a national 1-by-1 km gridded temperature data set, SeNorge2018, is available from 1979-2000 (10.5281/zenodo.3351430) and 2001-2017 (10.5281/zenodo.3516560).