{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T13:18:06Z","timestamp":1764681486654,"version":"3.46.0"},"reference-count":46,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>Long COVID is frequently accompanied by enduring neurocognitive and physical symptoms that substantially affect quality of life. Cognitive complaints\u2014including difficulties in memory, attention, and executive functioning\u2014often co-occur with physical manifestations such as fatigue, dyspnea, and headache. Despite growing research, openly available datasets integrating demographic, cognitive, and physical symptom profiles assessed during chronic phases of Long COVID remain scarce. Here, we present two complementary self-report datasets collected \u22656 months after the most recent COVID-19 infection. The first dataset (\u201cNeuro\u2013Long COVID-212\u201d) includes demographic information, binary neurocognitive symptom indicators, and a 14-item Post-COVID Cognitive Impairment Scale assessing memory and attention complaints. The second dataset (\u201cNeuro\u2013Long COVID\u2013210\u201d) provides a broad range of physical symptoms\u2014operationally defined as somatic and neurological complaints (e.g., fatigue, pain, sleep disturbance, anosmia\/ageusia)\u2014recorded as binary indicators (present\/absent). Data were collected online via the Porsline platform using individualized links, with remote researcher support to ensure accuracy. Quality assurance procedures included duplicate-response removal, consistency checks, and transparent handling of missing values. The datasets are released in Excel (.xlsx) format, fully de-identified and accompanied by a detailed data dictionary to facilitate reuse. These datasets enable reproducibility, secondary analyses, and meta-analyses on cognitive and physical outcomes in Long COVID, and may inform future cross-disciplinary rehabilitation research.<\/jats:p>","DOI":"10.3390\/data10120198","type":"journal-article","created":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T12:39:43Z","timestamp":1764679183000},"page":"198","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Open Dataset on Neurocognitive Complaints and Physical Symptoms in Long COVID: A Six-Month Post-Infection Cohort"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5878-4061","authenticated-orcid":false,"given":"Somayeh","family":"Pour Mohammadi","sequence":"first","affiliation":[{"name":"Department of Psychology, School of Health Sciences, Rey Juan Carlos University, 28922 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8149-4986","authenticated-orcid":false,"given":"Francisco","family":"Mercado Romero","sequence":"additional","affiliation":[{"name":"Department of Psychology, School of Health Sciences, Rey Juan Carlos University, 28922 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Moein","family":"Noroozi Fashkhami","sequence":"additional","affiliation":[{"name":"Department of Clinical Psychology and Education, Central Tehran Branch, Islamic Azad University, Tehran 1955847781, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7635-5068","authenticated-orcid":false,"given":"Irene","family":"Pel\u00e1ez","sequence":"additional","affiliation":[{"name":"Department of Psychology, School of Health Sciences, Rey Juan Carlos University, 28922 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,12,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Fern\u00e1ndez-de-las-Pe\u00f1as, C., Palacios-Ce\u00f1a, D., G\u00f3mez-Mayordomo, V., Cuadrado, M.L., and Florencio, L.L. 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