Datasets:
id string | publication_identifier string | url string | handle string | doi string | title string | year int64 | language string | license string | pdf pdf | text string |
|---|---|---|---|---|---|---|---|---|---|---|
698566db-b621-4af2-b33e-819d589eae33 | 019caf99b4ad-9e673450-75d2-4725-97d1-e2fe336f9bc5 | https://nva.sikt.no/registration/019caf99b4ad-9e673450-75d2-4725-97d1-e2fe336f9bc5 | https://hdl.handle.net/11250/5484519 | null | Hav og samfunn i Norge: Nasjonale behov for havforståelse for en styrket og motstandsdyktig fremtid / Ocean & Society in Norway: National Ocean Literacy Needs for an Empowered and Resilient Future | 2,025 | nob | CC0 | # **Hav og samfunn i Norge | Policy-notat**
**Havforståelse (ocean literacy) for en styrket og motstandsdyktig fremtid**
**92% opplever at de har noe kunnskap** som kan bidra til å løse utfordringer deres lokalsamfunn står overfor. **90% er villig til å engasjere seg.** Yngre folk er mindre villig. **80% opplever at ... | |
af3ef2f6-39af-4c93-b1f8-58f6a9783fa9 | 019caf99b4ad-9e673450-75d2-4725-97d1-e2fe336f9bc5 | https://nva.sikt.no/registration/019caf99b4ad-9e673450-75d2-4725-97d1-e2fe336f9bc5 | https://hdl.handle.net/11250/5484519 | null | Hav og samfunn i Norge: Nasjonale behov for havforståelse for en styrket og motstandsdyktig fremtid / Ocean & Society in Norway: National Ocean Literacy Needs for an Empowered and Resilient Future | 2,025 | nob | CC0 | # **Ocean & Society in Norway | Policy Brief**
**National Ocean Literacy Needs for an Empowered and Resilient Future**
**92% feel they have at least some knowledge** they need to overcome challenges their community face. **90% are willing to take action.** Younger people are less willing. **80% feel they have access ... | |
38b5f2d0-8b30-4a0c-aadb-7bfa6582ea79 | 019c627080f2-13b06ee7-d9b8-4f7a-8b12-5b94405a9a33 | https://nva.sikt.no/registration/019c627080f2-13b06ee7-d9b8-4f7a-8b12-5b94405a9a33 | https://hdl.handle.net/11250/5366949 | null | Effektiv ressursbruk, arbeidsglede og bærekraft: funn fra 12 intensivenheter i Norge | 2,026 | nob | CC0 | **09:00-10:00 Registrering, kaffe og mingling 10:00-10:15 Velkommen 11:30-12:00 Pause med besøk hos utstillere 14:00-14:20 Pause og besøke utstillere 14:20-15:15 Workshop på RETHOS, NAS, og Intensivstudenters kompetanse innen mekanisk ventilering 11:00-1130 Intensivsykepleieres senkarriere: Resultater fra en nasjonal k... | |
2e628ee1-d60a-4e2b-8349-69cb0b30e185 | 019c1dd8980e-401dc454-797e-4615-9071-32ebb0e6f41e | https://nva.sikt.no/registration/019c1dd8980e-401dc454-797e-4615-9071-32ebb0e6f41e | https://hdl.handle.net/11250/5360383 | null | Ramnes kirke Arkeologisk overvåking av graving for utskifting av kum | 2,021 | nob | CC0 | # **RAMNES KIRKE**
Arkeologisk overvåking av graving for utskifting av kum
Halvorsen, Sunniva Wilberg
#### Sammendrag
NIKU overvåket tømming av vannkum 25.5.2021. Kummen ble tømt ved håndgraving, og det viste seg at det ikke ble nødvendig å fjerne kummen. Den arkeologiske overvåkingen ble deretter avsluttet. Etters... | |
08c30d7d-5e27-4d6b-86f4-e91f638dc541 | 019bc204e509-ed820e11-cd56-4fe3-9229-5156ae9afba2 | https://nva.sikt.no/registration/019bc204e509-ed820e11-cd56-4fe3-9229-5156ae9afba2 | https://hdl.handle.net/11250/5344855 | null | Effekter av Nudging på Avfallssortering | 2,025 | nob | CC0 | Avfalls- og gjenvinningsbransjen skal gå fra å være en del av den lineære økonomien, der ressurser utvinnes til produksjon av varer og avfall plasseres i deponi, til å bli en sirkulær økonomi som kjennetegnes ved at færrest mulig ressurser går tapt, og innebærer gjenbruk, forbedring og reparasjon (Avfall\_ Norge, 2016)... | |
996afa1c-9d32-4caa-a712-6b048a2f6081 | 019a921b5f57-97e3bb62-93b4-4e93-a493-01597d3f1776 | https://nva.sikt.no/registration/019a921b5f57-97e3bb62-93b4-4e93-a493-01597d3f1776 | https://hdl.handle.net/11250/5320264 | null | "Klassisk musikk i grunnskolen? En diskursanalytisk studie av læreres forståelser av klassisk musi(...TRUNCATED) | 2,025 | nob | CC0 | "# Klassisk musikk i grunnskolen?\n\nEn diskursanalytisk studie av læreres forståelser av klassisk(...TRUNCATED) | |
f47e4453-0ddd-4da6-a38e-5b410cd711ce | 01994d06e93e-609e530d-44d9-42a6-9b87-b9d6da150898 | https://nva.sikt.no/registration/01994d06e93e-609e530d-44d9-42a6-9b87-b9d6da150898 | https://hdl.handle.net/11250/2374774 | null | Virksomme klimabudskap | 2,016 | nob | CC0 | "## REPORT 2016:01\n\nVirksomme klimabudskap Rapport for Naturvernforbundet\n\n### CICERO Report 201(...TRUNCATED) | |
622b8bbb-0354-4959-9298-8ef2cc632ae5 | 01990a0ecaed-14f96a7c-ebe9-4617-8972-f25ff9044120 | https://nva.sikt.no/registration/01990a0ecaed-14f96a7c-ebe9-4617-8972-f25ff9044120 | https://hdl.handle.net/11250/294093 | null | En studie av fuktinnhold i massivtre : oppfuktings- og uttørkingsprosessen | 2,015 | nob | CC0 | "# <span id=\"page-2-0\"></span>**Forord**\n\nDenne masteroppgaven er skrevet våren 2015 og er et s(...TRUNCATED) | |
44b8569c-126a-4f62-911c-2034230880fb | 01990a072d68-17538a3c-8b31-4c24-9ef8-eed781b3343b | https://nva.sikt.no/registration/01990a072d68-17538a3c-8b31-4c24-9ef8-eed781b3343b | https://hdl.handle.net/11250/219260 | null | Elevens opplevelse av mening og relevans i skogbruksundervisningen | 2,014 | nob | CC0 | "## <span id=\"page-1-0\"></span>**Forord**\n\nDenne masteroppgaven har hatt som hovedformål å få(...TRUNCATED) | |
434cb840-9cac-4694-b54a-fcd4e80e81f2 | 019909f7b26d-385f1477-8c9a-428b-b0a9-d8b18e2c3cf1 | https://nva.sikt.no/registration/019909f7b26d-385f1477-8c9a-428b-b0a9-d8b18e2c3cf1 | https://hdl.handle.net/11250/295041 | null | Demonterbar løfteramme for offshoreoperasjoner | 2,015 | nob | CC0 | "# Demonterbar løfteramme for offshoreoperasjoner\n\nAv\n\nHenrik Lundeby Grimstad\n\nMastergradsop(...TRUNCATED) |
Nasjonalt vitenarkiv
Open-access documents from NVA (Nasjonalt vitenarkiv), the joint national repository where Norwegian research institutions publish their output: master's and PhD theses, journal articles, and technical and research reports. Subjects span the disciplines - marine science, forestry, archaeology, education, public health, engineering - and most documents are recent.
Each row is one PDF: the original file exactly as published, the text extracted from it, and the metadata NVA records for the publication it belongs to. Keeping the PDFs alongside the text is the point of this dataset - text extraction from PDFs is lossy and improves as tooling improves, so anyone can redo it here without re-fetching several hundred gigabytes from NVA.
Documents on NVA carry a license per file. This dataset does not filter or split on license; it keeps every openly-licensed document together and records the license per row.
Structure
One row per PDF:
| column | description |
|---|---|
id |
NVA's identifier for the file. Unique; the key for this dataset. |
publication_identifier |
NVA's identifier for the publication the file belongs to. Not unique - a publication can carry several PDFs. |
url |
Landing page for the publication on nva.sikt.no. |
handle |
Persistent handle identifier. Present for effectively every publication. |
doi |
DOI, where the publication has one. Often null. |
title |
Title of the publication. Not unique, for the same reason publication_identifier isn't. |
year |
Publication year as recorded by NVA. |
language |
nob (Bokmål), nno (Nynorsk) or nor (unspecified Norwegian). |
license |
The file's own license: CC-BY, CC-SA or CC0. |
pdf |
The original PDF. Renders in the dataset viewer. |
text |
Text extracted from the PDF, as markdown. |
Scope and coverage
Currently limited to Norwegian-language publications, as the dataset exists to support Norwegian
language modelling. NVA also holds a large body of English-language research; including it would be
a matter of widening one constant in src/nasjonalt_vitenarkiv/config.py.
Two properties of the NVA search API limit coverage, and neither is worked around fully:
- It only pages through the first 10,000 hits of a single query, so the larger license buckets are not exhaustively covered.
- Repeated identical queries return different subsets of the same result set. Windows of results intermittently fail with a server error in a way that does not clear on retry, and are eventually dropped. In one measurement, two consecutive queries reporting the same 404 total hits returned 97 documents each but overlapped on only 78.
Because of the second point the candidate list is treated as cumulative: each query is merged into the cached list rather than replacing it, so documents seen once are not lost when a later query misses them. A practical consequence is that coverage grows as the ingest is re-run, and that the dataset may retain a document NVA's search no longer returns.
How the text was extracted
Most of these are born-digital PDFs with a good embedded text layer, for which running a vision model over every page is wasted effort - on sampled documents it was roughly an order of magnitude slower and no more accurate. Extraction therefore runs in two passes, both using marker and both emitting markdown:
- Text layer, every document. Reads the PDF's embedded text, with lightweight CPU models for reading order and table structure. No vision model sees the page images.
- OCR, only where pass 1 found nothing usable. Documents whose extracted text is implausibly sparse for their page count (under 200 characters per page) are treated as scans and re-run through marker's full OCR path, a vision-language model over rendered pages.
So the large majority of this text is extracted rather than recognised, and is faithful to the source. The scanned minority carries the usual OCR error profile.
Limitations
Reading order can be imperfect in documents with complex layouts, and tables and equations are reconstructed on a best-effort basis. In sampling, documents laid out as forms or questionnaires were the weakest case, sometimes yielding sections in an order that does not match the page.
Some documents carry very little running text regardless of extraction quality - map sheets and figure-only appendices, for instance, reduce to little more than coordinate labels. Nothing is filtered out on those grounds here, since the aim is to mirror what NVA holds; consumers who want prose should filter on text length.
Research publications routinely contain English abstracts, references and quotations even when the body text is Norwegian.
Reproducing and updating
create.py performs the whole ingest - querying NVA, downloading PDFs, extracting text and
publishing. Re-running it carries over what is already published and only processes what is new:
uv run create.py
The OCR fallback needs a GPU, Docker, and membership of the docker group, since marker runs its
OCR model in a containerised vLLM server. The text-layer pass needs neither.
License
There is no single license for this dataset. See the license column for each document's license as
recorded by NVA, and url or handle for the source record and its attribution requirements.
Related
The Norwegian Dynaword project publishes single-license subsets of this data, derived from it by
filtering on the license column, as nva-cc0 and its siblings in
Norwegian Dynaword.
Notice and takedown policy
We redistribute files shared with us under a license permitting such redistribution. If you have concerns about the licensing of these files, please contact us. If you consider that the data contains material that infringes your copyright, please:
- Clearly identify yourself with detailed contact information such as an address, a telephone number, or an email address at which you can be contacted.
- Clearly reference the original work claimed to be infringed.
- Clearly identify the material claimed to be infringing and information reasonably sufficient to allow us to locate the material.
You can contact us through this channel. We will comply with legitimate requests by removing the affected documents from the next release of the dataset.
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