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350 results for “Norwegian”

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Ice Core Measurements - Northern Norwegian Fjord Ice - Winter 2018/2019

<p>Dataset from the 2018-2019 field season in six northern Norwegian fjords including ice bulk salinity and d18O, seawater salinity and d18O, and river water d18O. The fjords included are Beisfjord (Nordland), Lavangen (Nordland), Nordkjosbotn (Troms&oslash;), Storfjord (Troms&oslash;), Storfjord (Troms&oslash;), Ramfjord (Troms&oslash;), and Kattfjord (Troms&oslash;).</p>

opencc-by-4.0Jun 2022View details →
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Combined ground-based total ozone data at three Norwegian sites (2000 to 2020)

<p>Combined total column ozone (TCO) at three Norwegian sites (Oslo, And&oslash;ya, Ny-&Aring;lesund), using three measurement techniques (Brewer (DS and GI), SAOZ, GUV).</p> <p>The daily means are composed of noon-averages (+-2h around local noon) for Brewer (DS and GI) and GUV, and of sunrise- and sunset averages for SAOZ.</p> <p>In Oslo and And&oslash;ya, Brewer DS measurements build the baseline, and missing measurement days are then filled with Brewer GI data and then with GUV. In Ny-&Aring;lesund, SAOZ measurements build the baseline, and missing measurement days are filled with Brewer DS data (starting in 2013) and GUV.</p> <p>This dataset has been used in Bernet et al. (2022).</p> <p>The initial data of each of the instruments are available at:</p> <p>Brewer DS (daily means): https://woudc.org</p> <p>Brewer GI: https://doi.org/10.5281/zenodo.6760244</p> <p>SAOZ: www.ndacc.org</p> <p>GUV: https://doi.org/10.5281/zenodo.4773478</p> <p>Responsible institute: NILU - Norwegian Institute for Air Research</p> <p>Bernet, L., Svendby, T., Hansen, G., Orsolini, Y., Dahlback, A., Goutail, F., Pazmi&ntilde;o, A., Petkov, B., and Kylling, A., Total ozone trends at three northern high-latitude stations, 2022.</p>

opencc-by-4.0Jul 2022View details →
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Figure 7 in Fighting an invasive fish parasite in subarctic Norwegian rivers - The end of a long story?

Figure 7. Increase in rotenone concentration in water samples along the riverbank as result of spraying the bank with water of high rotenone concentration.

opencc-by-4.0Feb 2021View details →
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Figure 6 in Fighting an invasive fish parasite in subarctic Norwegian rivers - The end of a long story?

Figure 6. Temperature at 10 cm depth in substrate at a groundwater influenced riverbank before, during and after flooding the riverbed with rotenone-treated water. The curve shows an instant temperature rise, indicating rotenone treated surface water intruding the groundwater fed substrate.

opencc-by-4.0Feb 2021View details →
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Figure 5. Crew placing a in Fighting an invasive fish parasite in subarctic Norwegian rivers - The end of a long story?

Figure 5. Crew placing a rotenone disc in a small brook. Brooks of this size were numerous, often remote and typically inhabited with potentially infected arctic char juveniles. The rotenone disc replaced the more bulky 20 litre-can drip stations. Photograph by Dag H. Karlsen.

opencc-by-4.0Feb 2021View details →
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Figure 4. Spraying a in Fighting an invasive fish parasite in subarctic Norwegian rivers - The end of a long story?

Figure 4. Spraying a groundwater-fed side channel of the Skibotn River with portable backpack mounted pump. Surviving G. salaris infested arctic char was found in this location after the previous treatments in 1988 and 1995. In 2015 and 2016 this and similar locations was treated several times by different teams using both Vectocarb, CatSan hygiene litter saturated with CFT-Legumine and conventional spraying with water of high rotenone concentration. Photograph by Dag H. Karlsen.

opencc-by-4.0Feb 2021View details →
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Figure 2 in Fighting an invasive fish parasite in subarctic Norwegian rivers - The end of a long story?

Figure 2. Mapping of groundwater influx in the River Signaldalselva. The mapping was done by parallel logging of GPS position and temperatures along the riverbanks at late summer, the time of year with the highest temperature contrasts between surface water and upwelling groundwater. Photograph by Norwegian Veterinary Institute.

opencc-by-4.0Feb 2021View details →
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Figure 1 in Fighting an invasive fish parasite in subarctic Norwegian rivers - The end of a long story?

Figure 1. The large map shows the rivers (in red) with G. salaris in the Skibotn Region. Orange marks rivers treated without findings of the parasite. All rivers and brooks potentially inhabiting salmonids south of the black line across the Lyngen-fjord were treated. Inserted map shows the location in Norway.

opencc-by-4.0Feb 2021View details →
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Figure 3 in Fighting an invasive fish parasite in subarctic Norwegian rivers - The end of a long story?

Figure 3. Spraying the riverbank of the River Signaldalselva with water of high rotenone concentration. The iconic mountain Otertind in the background. Photograph by Dag H. Karlsen.

opencc-by-4.0Feb 2021View details →
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Fig. 4 in Endoparasites in a Norwegian moose (Alces alces) population - Faunal diversity, abundance and body condition

Fig. 4. Counts of abomasal nematodes in moose, hunted during the licensed hunting season, autumn 2013, in Hedmark county, Norway, in relation to slaughter weight, gender (F – females [black]; M – males [grey]) and body condition index (poor – BCI &lt;0 [open circles]; good – BCI&gt; 0 [filled circles]). The lines show model predictions from a quasi-Poisson generalised linear model explaining 72.4% of the deviance. The lines show the model predictions for individuals with BCI equal to 1st and 3rd quartiles.

opencc-by-4.0Apr 2015View details →
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Fig. 3. A in Endoparasites in a Norwegian moose (Alces alces) population - Faunal diversity, abundance and body condition

Fig. 3. A box–whisker plot showing the prevalence of infection with protostrongylid larvae (dorsal spine larvae) in moose hunted during the licensed hunting season, autumn 2013, in Hedmark county, Norway, in relation to age. The median (solid black line), quartiles (ends of boxes) with the whiskers indicating the variability outside the quartiles, and extreme outliers, individual points, are shown.

opencc-by-4.0Apr 2015View details →
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Fig. 1 in Endoparasites in a Norwegian moose (Alces alces) population - Faunal diversity, abundance and body condition

Fig. 1. Histogram of number of parasite groups (parasite diversity) found in individual moose (n = 30) shot during the licensed hunting season, autumn 2013, in Hedmark county, Norway.

opencc-by-4.0Apr 2015View details →
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Fig. 3 in Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate

Fig. 3. Calculated average altitude above sea level (points) with standard deviation (thicker grey line) of the main summer pasture area of six wild reindeer and two wild red deer populations in South Norway sampled for parasitological studies 2012–2014. The calculation was based upon GPS-positions recorded during June, July and August. The recorded min and max altitudes are indicated by the ends of the black line. Reindeer populations (No): 14 Nordfjella, 2 Snøhetta, 19 Setesdal Ryfylke, 1 Forollhogna, 6 Rondane, 20 Setesdal Austhei. Red deer populations (No): 24 Ørsta, 25 Kvinnherad.

opencc-by-4.0Dec 2019View details →
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Fig. 1 in Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate

Fig. 1. Map of South Norway showing the location of the 23 Norwegian wild tundra reindeer populations (No 1–23). The six populations included in the present study (No 1, 2, 6, 14, 19, 20) are marked with brighter tan. The location of two wild red deer municipalities studied (No 24, 25) are marked in green. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

opencc-by-4.0Dec 2019View details →
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Fig. 5 in Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate

Fig. 5. Calculated mean temperature (̊C) and monthly rainfall (mm) for June–August at the average altitude of the main summer pasture areas for eight wild reindeer and red deer populations sampled for parasitological studies 2012–2014. The data represent the five summers prior to sampling. The range and average (horizontal bar) of mean monthly temperature (left y-axis) and rainfall (right y-axis) are shown by red and blue lines respectively. Reindeer populations (No): 14 Nordfjella, 2 Snøhetta, 19 Setesdal Ryfylke, 1 Forollhogna, 6 Rondane, 20 Setesdal Austhei. Red deer populations (No): 24 Ørsta, 25 Kvinnherad. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

opencc-by-4.0Dec 2019View details →
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Fig. 2 in Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate

Fig. 2. Example of Kernel Density Analysis, visualizing the main grazing area of radio-collared females in the wild reindeer population in Nordfjella during June, July and August. The darker the color, the larger number of GPS positions recorded. The outer limits of the area are marked with a dark line. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

opencc-by-4.0Dec 2019View details →
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Figure 7 in A new Norwegian Lemming subspecies from Novaya Zemlya, Arctic Russia

Figure 7. Comparison of crania, molar rows, and lower jaws of Novaya Zemlya (Lemmus lemmus chernovi ssp. nov.) [holotype RMBH Lem005] and Norwegian (L. l. lemmus) lemmings [specimen RMBH Lem040, Kola Peninsula]. (A, B, C) Crania of Novaya Zemlya Lemming: (A) dorsal view, (B) ventral view, and (C) lateral view. (D, E, F) Crania of Norwegian Lemming: (D) dorsal view, (E) ventral view, and (F) lateral view. Scale bar = 5 mm. (G, H) Molar rows of Novaya Zemlya Lemming: (G) maxillary, and (H) mandibular. (I, J) Molar rows of Norwegian Lemming: (I) maxillary, and (J) mandibular. Scale bar = 1 mm. (K, L) Lower jaw of Novaya Zemlya Lemming: (K) outer lateral view, and (L) inner lateral view. (M, N) Lower jaw of Norwegian Lemming: (M) outer lateral view, and (N) inner lateral view. Scale bar = 5 mm. (Photos: Vitaly M. Spitsyn).

opencc-by-4.0Mar 2021View details →
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Figure 5 in A new Norwegian Lemming subspecies from Novaya Zemlya, Arctic Russia

Figure 5. Ancestral coloration reconstruction (Bayesian Binary MCMC analysis) of Lemmus taxa based on our fossilcalibrated BEAST v. 1.10.4 phylogeny. Black numbers near nodes are BEAST's BPP. The Lemmus trimucronatus + L. nigripes clade (cryptic coloration) is omitted. (Photos: Vitaly M. Spitsyn).

opencc-by-4.0Mar 2021View details →
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Figure 6 in A new Norwegian Lemming subspecies from Novaya Zemlya, Arctic Russia

Figure 6. Dorsal view of lemming specimens: (A) Novaya Zemlya Lemming (Lemmus lemmus chernovi ssp. nov.) [holotype RMBH Lem005], and (B) Norwegian Lemming (L. lemmus lemmus) [RMBH Lem040, Kola Peninsula]. Scale bar = 10 mm. (Photos: Vitaly M. Spitsyn).

opencc-by-4.0Mar 2021View details →
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Figure 4 in A new Norwegian Lemming subspecies from Novaya Zemlya, Arctic Russia

Figure 4. Ancestral area reconstruction (combined scenario: S-DIVA + BayArea models) of Lemmus taxa based on our fossil-calibrated BEAST v. 1.10.4 phylogeny. Black numbers near nodes are BEAST's BPP.

opencc-by-4.0Mar 2021View details →

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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.

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OpenNeuro

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Last verified 2026-04-29Open record