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12,393 results for “materiality”

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dryad28/100

A systematic assessment of medical diagnoses preceding the first diagnosis of multiple sclerosis: Supplementary materials

<p class="Standard1"><b>Objective</b>: To explore the occurrence of diseases and symptoms in the five years prior to diagnosis in patients with multiple sclerosis (MS) in a case-control study.</p> <p class="Standard1"><b>Methods</b>: Using ambulatory claims data we systematically assessed differences in the occurrence of diseases and symptoms in the five years prior to first diagnosis in patients with MS (n=10,262) as compared to patients with two other autoimmune diseases – Crohn's disease (n=15,502) and psoriasis (n=98,432) - and individuals without these diseases (n=73,430).</p> <p class="Standard1"><b>Results</b>: Forty-three ICD-10 codes were recorded more frequently for patients with MS before diagnosis as compared to controls without autoimmune disease. Many of these findings were confirmed in a comparison to the other control groups. A high proportion of these ICD-10 codes represent symptoms suggestive of demyelinating events or other neurological diagnoses. In a sensitivity analysis excluding patients with such recordings prior to first diagnosis, no association remained significant. Seven ICD-10 codes were associated with lower odds ratios of MS, four of which represented upper respiratory tract infections. Here, the relations with MS were even more pronounced in the sensitivity analysis.</p> <p class="Standard1"><b>Conclusions</b>: Our analyses suggest that patients with MS are frequently not diagnosed at their first demyelinating event but often years later. Symptoms and physician encounters before MS diagnosis seem to be related to already ongoing disease rather than a prodrome. The observed association of upper respiratory tract infections with lower ORs of MS diagnosis suggests a link between protection from infection and MS that however needs to be validated and further investigated.</p>

opencc-zeroMar 2022View details →
zenodo28/100

Supplementary material 1 from: Warrington S, Ellis AG, Keet J-H, Le Roux JJ (2022) How does familiarity in rhizobial interactions impact the performance of invasive and native legumes? NeoBiota 72: 129-156. https://doi.org/10.3897/neobiota.72.79620

Supplementary materials

opencc-zeroMar 2022View details →
zenodo28/100

Supplementary material 1 from: Del Rio-Hortega L, Martín-Forés I, Castro I, De Miguel JM, Acosta-Gallo B (2022) Network-based analysis reveals differences in plant assembly between the native and the invaded ranges. NeoBiota 72: 157-181. https://doi.org/10.3897/neobiota.72.72066

Table S1. Species ID for each country and type of species

opencc-zeroMar 2022View details →
zenodo28/100

Supplementary material 2 from: Kim JS, Cho Y, Park KH, Park JH, Kim M, Kim CS, Lim YW (2022) Taxonomic study of Collybiopsis (Omphalotaceae, Agaricales) in the Republic of Korea with seven new species. MycoKeys 88: 79-108. https://doi.org/10.3897/mycokeys.88.79266

Figure S2

opencc-zeroMar 2022View details →
zenodo28/100

Supplementary material 3 from: Kim JS, Cho Y, Park KH, Park JH, Kim M, Kim CS, Lim YW (2022) Taxonomic study of Collybiopsis (Omphalotaceae, Agaricales) in the Republic of Korea with seven new species. MycoKeys 88: 79-108. https://doi.org/10.3897/mycokeys.88.79266

Figure S3

opencc-zeroMar 2022View details →
zenodo28/100

Supplementary material 1 from: Kim JS, Cho Y, Park KH, Park JH, Kim M, Kim CS, Lim YW (2022) Taxonomic study of Collybiopsis (Omphalotaceae, Agaricales) in the Republic of Korea with seven new species. MycoKeys 88: 79-108. https://doi.org/10.3897/mycokeys.88.79266

Figure S1

opencc-zeroMar 2022View details →
zenodo28/100

Supplementary material 3 from: Munakata M, Tanaka H, Kakui K (2022) Taxonomy and natural history of Cavernocypris hokkaiensis sp. nov., the first ostracod reported from alpine streams in Japan. Zoosystematics and Evolution 98(1): 117-127. https://doi.org/10.3897/zse.98.80442

Alignment S2

opencc-zeroApr 2022View details →
zenodo28/100

Supplementary material 4 from: Munakata M, Tanaka H, Kakui K (2022) Taxonomy and natural history of Cavernocypris hokkaiensis sp. nov., the first ostracod reported from alpine streams in Japan. Zoosystematics and Evolution 98(1): 117-127. https://doi.org/10.3897/zse.98.80442

File S1

opencc-zeroApr 2022View details →
zenodo28/100

Supplementary material 1 from: Kadushkin AG, Tahanovich AD, Movchan LV, Dziadzichkina VV, Levandovskaya OV, Shman TV (2022) Nortriptyline overcomes corticosteroid resistance in NK and NKT-like cells from peripheral blood of patients with chronic obstructive pulmonary disease. Research Results in Pharmacology 8(1): 59-70. https://doi.org/10.3897/rrpharmacology.8.75467

Table S1

opencc-zeroApr 2022View details →
zenodo28/100

Pattern as a functional trait, case study on Mallomonas chrysophytes - supplementary material

<p>Pattern as a functional trait, case study on <em>Mallomonas</em> chrysophytes - supplementary material</p>

opencc-by-4.0Apr 2022View details →
zenodo28/100

Supplementary material 1 from: Hatami R, Inglis G, Lane SE, Growcott A, Kluza D, Lubarsky C, Jones-Todd C, Seaward K, Robinson AP (2022) Modelling the likelihood of entry of marine non-indigenous species from internationally arriving vessels to maritime ports: a case study using New Zealand data. NeoBiota 72: 183-203. https://doi.org/10.3897/neobiota.72.77266

Supplementary materials

opencc-zeroApr 2022View details →
zenodo28/100

Supplementary material 1 from: Dang NA, Jackson BM, Tomscha SA, Lilburne L, Burkhard K, Tran DD, Phi LH, Benavidez R (2022) Guidelines and a supporting toolbox for parameterising key soil hydraulic properties in hydrological studies and broader integrated modelling. One Ecosystem 7: e76410. https://doi.org/10.3897/oneeco.7.e76410

Supplementary Material S1

opencc-zeroApr 2022View details →
zenodo28/100

Supplementary material 2 from: Dang NA, Jackson BM, Tomscha SA, Lilburne L, Burkhard K, Tran DD, Phi LH, Benavidez R (2022) Guidelines and a supporting toolbox for parameterising key soil hydraulic properties in hydrological studies and broader integrated modelling. One Ecosystem 7: e76410. https://doi.org/10.3897/oneeco.7.e76410

Supplementary Material S2

opencc-zeroApr 2022View details →
zenodo28/100

Supplementary material for "The signature of lithospheric anisotropy at post-subduction continental margins: new insight from XKS splitting analysis in northern Borneo"

<p><strong>Supplementary material for the manuscript &quot;The signature of lithospheric anisotropy at post-subduction continental margins: new insight from XKS splitting analysis in northern Borneo&quot; by Bacon, C.A., Rawlinson, N., Pilia, S., Gilligan, A., Wehner, D., Cornwell, D.G., and Tongkul, F., submitted for publication in Geochemistry, Geophysics, Geosystems.</strong><br> <br> The material has been divided into 3 directories:</p> <ul> <li><em>a_supplementary_datafiles </em>- datafiles listed in the supplementary file accompanying the manuscript</li> <li><em>b_2018-2020</em> - SplitRacer directory for the time period of the nBOSS network deployment, containing: <ul> <li>Cut and bandpass filtered waveforms</li> <li>Metadata files required to run SplitRacer</li> <li>Splitting results (single splitting and joint splitting, where possible)</li> </ul> </li> <li><em>c_2006-2020 </em>- SplitRacer directory for the time period of the KKM/LDM permanent station deployments, containing: <ul> <li>Cut and bandpass filtered waveforms</li> <li>Metadata files required to run SplitRacer</li> <li>Splitting results (single splitting and joint splitting, where possible)</li> </ul> </li> </ul> <p>Directories <em>b </em>and <em>c </em>are valid SplitRacer projects that can be loaded directly and processed from the measurement stage onward.</p>

opencc-by-4.0Apr 2022View details →
zenodo28/100

Supplementary Material: Predictive model using Cross Industry Standard Process for Data Mining

<p>The Supplementary Material of the paper &quot;Supplementary Material: Predictive model using Cross Industry Standard Process for Data Mining&quot; includes:&nbsp;<br> 1) APPENDIX 1: SQL Statements for data extraction. Appendix 2: Interview for operating Staff.<br> 2) The DataSet of the normalized data to define the predictive model.</p>

opencc-by-4.0Apr 2022View details →
zenodo28/100

Supplementary material 5 from: Doycheva I (2022) Influence of proline and methyl jasmonate priming on in vitro seed germination and seedling development of Chelidonium majus L. In: Chankova S, Peneva V, Metcheva R, Beltcheva M, Vassilev K, Radeva G, Danova K (Eds) Current trends of ecology. BioRisk 17: 227-240. https://doi.org/10.3897/biorisk.17.77465

Figure S5

opencc-zeroApr 2022View details →
zenodo28/100

Supplementary material 5 from: Hristozova M, Lazarova R (2022) Radiation status of soils from the region of the Eastern Rhodopes (Southern Bulgaria). In: Chankova S, Peneva V, Metcheva R, Beltcheva M, Vassilev K, Radeva G, Danova K (Eds) Current trends of ecology. BioRisk 17: 45-57. https://doi.org/10.3897/biorisk.17.77432

Figure S5

opencc-zeroApr 2022View details →
zenodo28/100

Supplementary material 6 from: Doycheva I (2022) Influence of proline and methyl jasmonate priming on in vitro seed germination and seedling development of Chelidonium majus L. In: Chankova S, Peneva V, Metcheva R, Beltcheva M, Vassilev K, Radeva G, Danova K (Eds) Current trends of ecology. BioRisk 17: 227-240. https://doi.org/10.3897/biorisk.17.77465

Figure S6

opencc-zeroApr 2022View details →
zenodo28/100

Supplementary material 1 from: Doycheva I (2022) Influence of proline and methyl jasmonate priming on in vitro seed germination and seedling development of Chelidonium majus L. In: Chankova S, Peneva V, Metcheva R, Beltcheva M, Vassilev K, Radeva G, Danova K (Eds) Current trends of ecology. BioRisk 17: 227-240. https://doi.org/10.3897/biorisk.17.77465

Figure S1

opencc-zeroApr 2022View details →
zenodo28/100

Supplementary material 4 from: Hristozova M, Lazarova R (2022) Radiation status of soils from the region of the Eastern Rhodopes (Southern Bulgaria). In: Chankova S, Peneva V, Metcheva R, Beltcheva M, Vassilev K, Radeva G, Danova K (Eds) Current trends of ecology. BioRisk 17: 45-57. https://doi.org/10.3897/biorisk.17.77432

Figure S4

opencc-zeroApr 2022View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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Your academic CV and NIH biosketch

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