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11 to 20 of 374 Results
Mar 16, 2026 - Agricultural Sciences, Forestry and Veterinary Science
Vircava, Ilze; Skapste, Inese; Skutele, Kristiana; Žaimis, Uldis; Grinberga-Zalite, Gunta, 2026, "Assessment of Biostimulant effectiveness across Mineral and Organic Soil substrates", https://doi.org/10.71782/DATA/GFNEND, DataverseLV, V1, UNF:6:x/Jay2ZvsofFn8CVc41RFQ== [fileUNF]
Dataset provides experimental data regarding the effect of Furcellaria lumbricalis algae digestate biostimulant on plant development and total dry matter yield of garden radishes (Raphanus raphanistrum subsp. sativus) grown in different soil substrates. The dataset includes information about soil chemical properties, plant physiological indicators...
Mar 16, 2026 - Medical and Health Sciences
Grabovskis, Andris; Rubins, Uldis, 2026, "Remote photoplethysmography RAW data of Septic shock ICU patient bedside examinations: palm dorsal side during Passive Leg Rising Test, and noradrenaline administration", https://doi.org/10.71782/DATA/XGBZKN, DataverseLV, V1, UNF:6:H7a78ZnyXdWTjQalCN7Veg== [fileUNF]
Project: Multiparametric optical technique for fluid resuscitation and vasopressor therapy guidance in critically ill COVID-19 patients” ID: lzp-2022/1-0326. This dataset corresponds to work package 3 of the project. Two file groups are included: 1) DD-MM-YYYY-HHMMSS_ppg.csv - remote photoplethysmography RAW data taken from palm dorsal side (thumb)...
Mar 13, 2026 - Medical and Health Sciences
Grabovskis, Andris; Marcinkevics, Zbignevs, 2026, "Combined measurements acquired using Finapres, Recapilarizator and remote photoplethysmography", https://doi.org/10.71782/DATA/0WC2XE, DataverseLV, V1, UNF:6:4LCwmJ1y8zpqpfdTzxnVcw== [fileUNF]
Project: Multiparametric optical technique for fluid resuscitation and vasopressor therapy guidance in critically ill COVID-19 patients” ID: lzp-2022/1-0326. This dataset corresponds to Work Package Nr. 2 as per project description.
Mar 12, 2026 - Social Sciences
Spilbergs, Aivars; Sloka, Biruta, 2027, "Survey on generative AI adoption by Baltic Sea region business schools' students and academic staff", https://doi.org/10.71782/DATA/UCTC9U, DataverseLV, V1, UNF:6:x545pL4GC0hOjAHQCxe4mw== [fileUNF]
In this dataset, the obtained results from a survey on generative AI adoption by Baltic Sea region business schools' students and academic staff are summarized. DMP: https://zenodo.org/records/18889901 , WP-4
Mar 7, 2026 - Rīga Stradiņš University
Vanadziņš, Ivars; Matisāne, Linda; Paegle, Linda; Linde, Asnate Anna; Rozentāle, Sarmīte; Grīntāle, Ieva; Mietule, Iveta; Lonska, Jeļena; Litavniece, Lienīte; Arbidāne, Iluta, 2026, "Employee survey on work experience during the first wave of COVID-19 restrictions in Latvia (2020)", https://doi.org/10.48510/FK2/4QV0BD, UNF:6:1XfhFAlBXst+Fy1+qgDwFg== [fileUNF]
The survey examined how the COVID-19 situation affected employees’ daily work responsibilities, including employer-implemented measures to control virus transmission, the organization of remote work, and the ability to maintain work–life balance. A non-probability sampling approach was used, with participants recruited through snowball sampling, so...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Mar 7, 2026 - Rīga Stradiņš University
Vanadziņš, Ivars; Matisāne, Linda; Paegle, Linda; Lonska, Jeļena, 2026, "Employee survey on work experience during the second wave of COVID-19 restrictions in Latvia (2021)", https://doi.org/10.48510/FK2/5P3MUF, UNF:6:rQp6JQSIeFAcV0usp25Xkw== [fileUNF]
This survey represents the second wave of an ongoing employee survey series examining how the COVID-19 situation affected employees’ daily work responsibilities, including employer-implemented measures to control virus transmission, the organization of remote work, and the ability to maintain work–life balance. The same core questionnaire and a non...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Mar 7, 2026 - Rīga Stradiņš University
Vanadziņš, Ivars; Matisāne, Linda; Paegle, Linda; Lonska, Jeļena, 2026, "Employee survey on work experience during the third wave of COVID-19 restrictions in Latvia (2022)", https://doi.org/10.48510/FK2/FEDLIM, UNF:6:bkAdd0KsR4LD0Ksf0zDjOQ== [fileUNF]
This survey constitutes the third wave of the ongoing employee survey series on work experience during the COVID-19 situation in Latvia. It continued to assess changes in employees’ daily work responsibilities, employer-implemented infection control measures, remote work organization, and work–life balance using the same core questionnaire and samp...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
RISEBA University of Applied Sciences logo
Mar 6, 2026
RISEBA University of Applied Sciences Dataverse provides access to research data deposited by RISEBA researchers in the fields of business, social sciences, IT, arts and humanities, as well as in interdisciplinary domains. Datasets may be open or restricted, based on their specificity, supporting FAIR principles. Biznesa, mākslas un tehnoloģiju aug...
Mar 4, 2026 - Natural Sciences
Lazda, Reinis; Rudzītis, Oskars; Krūmiņš, Valts; Meilerts, Heinrihs; Jani, Monas; Gahbauer, Florian; Auzinsh, Marcis, 2026, "Photon detection events for detectors after a 50:50 beam splitter", https://doi.org/10.71782/DATA/POAT5L, DataverseLV, V1, UNF:6:h90dcKRrR22jI60eeO5O2Q== [fileUNF]
Recovery and Resilience Facility project "Internal and External Consolidation of the University of Latvia" (No.5.2.1.1.i.0/2/24/I/CFLA/007), grant project “Single Photon Sources for Quantum Technologies Using Nitrogen-Vacancy Centres in Diamond”, No. LU-BA-PA-2024/1-0071. DMP: https://doi.org/10.5281/zenodo.14289100
Mar 3, 2026 - CLARIN-LV
Martena, Sanita; Nau, Nicole; Kļavinska, Antra; Juško-Štekele, Angelika; Kociņš-Kūceņš, Armands; Sprukte, Ausma; Briška, Anna; Gusāns, Ingars; Mazure, Laura, 2025, "Corpus of Contemporary Latgalian Speech (MuLaR)", https://hdl.handle.net/20.500.12574/118, Rēzekne Academy of Technologies
The corpus consists of audio recordings and their transcripts. It documents natural, spontaneous speech, including field research recordings, interviews, TV and radio broadcasts.
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
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