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8,171 results for “mountaineering”
Dataset: New Mountain Finance Corporation (NMFC) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Mountain Crest Acquisition Corp. V (MCAGU) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Mountain Crest Acquisition Corp. V (MCAG) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Mountain & Co. I Acquisition Corp. (MCAAU) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Mountain & Co. I Acquisition Corp. (MCAAW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Mountain Crest Acquisition Corp. V (MCAGR) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Mountain & Co. I Acquisition Corp. (MCAA) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Fig. 2 in Population Genetics Of Philaenus Spumarius On The Istranca Mountains: Ii. Polymorphism And Phenotype Frequency
Fig. 2. The chart for the combined four major phenotype categories of Philaenus spumarius showing the frequency distributions on the Istranca Mountains, Turkey. From left to right, three groups of bars blank, dotted hatched, and dark coloured bars of the diagrams indicate POP, TYP, TRI+VIT, and melanic (MAR+LAT+FLA+LCE). The height of the bar indicates the percentage (numbers are given at
Fig. 1 in Population Genetics Of Philaenus Spumarius On The Istranca Mountains: Ii. Polymorphism And Phenotype Frequency
Fig. 1. Dorsal colour/pattern phenotypes of Philaenus spumarius found on the Istranca Mountains, Turkey (abbreviations are described in the text)
Fig. 3 in Population Genetics Of Philaenus Spumarius On The Istranca Mountains: Ii. Polymorphism And Phenotype Frequency
Fig. 3. Combined phenotype frequency distributions of Philaenus spumarius for three types of habitat on the Istranca Mountains, Turkey. Separate diagrams for females and males denote the habitats from top to the bottom: Mixed, Oak, and Beech forests respectively. From left to right, the bars of the diagrams indicate; 1: POP, 2: TYP, 3: TRI+VIT, 4: MAR+LAT, 5: FLA+LCE. The height of the bar
Fig. 3 in Body Measurements And Harversting Dynamics Of The Fat Dormouse (Glis Glis L.) In The Mountainous Part Of Croatia
Fig. 3. Correlation between the body mass of caught fat dormice (Glis glis L.) and the days of hunting for the locality of Vrbovsko during the autumn of 1994
Fig. 6 in Body Measurements And Harversting Dynamics Of The Fat Dormouse (Glis Glis L.) In The Mountainous Part Of Croatia
Fig. 6. Correlation between the number of caught fat dormice (Glis glis L.) and the days in the hunting season for the locality of Gerovo during the autumn of 1999
Fig. 5 in Body Measurements And Harversting Dynamics Of The Fat Dormouse (Glis Glis L.) In The Mountainous Part Of Croatia
Fig. 5. Correlation between the number of caught fat dormice (Glis glis L.) and the days in the hunting season for the locality of Vrbovsko during the autumn of 1994
Fig. 4 in Body Measurements And Harversting Dynamics Of The Fat Dormouse (Glis Glis L.) In The Mountainous Part Of Croatia
Fig. 4. Correlation between the body mass of caught fat dormice (Glis glis L.) and the days of hunting for the locality of Gerovo during the autumn of 1999
Fig. 1 in Body Measurements And Harversting Dynamics Of The Fat Dormouse (Glis Glis L.) In The Mountainous Part Of Croatia
Fig. 1. The area of protection, permitted hunting and research of the fat dormouse (Glis glis L.) in Croatia
Fig. 2 in Body Measurements And Harversting Dynamics Of The Fat Dormouse (Glis Glis L.) In The Mountainous Part Of Croatia
Fig. 2. Trends in harvesting the fat dormouse (Glis glis L.) in the municipalities of Gerovo (1), Tršće (2) and Prezid (3) between 1991 and 2001
Fig. 5 in The Influence Of Dispersal On The Metapopulation Viability Of Giant Panda (Aliuropoda Melanoleuca) In The Minshan Mountains
Fig. 5. Population dynamics in 100 years when changing range of dispersal ages, assuming only males to disperse
Fig. 4 in The Influence Of Dispersal On The Metapopulation Viability Of Giant Panda (Aliuropoda Melanoleuca) In The Minshan Mountains
Fig. 4. Population size of different sexes dispersing with 90% survival of dispersers in 100 years. M90%, F90% and F&M90% indicate dispersal of only males, only females, or both sexes, respectively
Fig. 1 in The Influence Of Dispersal On The Metapopulation Viability Of Giant Panda (Aliuropoda Melanoleuca) In The Minshan Mountains
Fig. 1. The distribution of each subpopulation and the suggested "corridor belts" within the Minshan metapopulation. ZZWG sub-pop, BH sub-pop, MS sub-pop, BCH sub-pop, QFS sub-pop and GGS sub-pop are abbreviations for Zezhawagou subpopulation, Baihe subpopulation, Minshan subpopulation, Baicaohe subpopulation, Qianfoshan subpopulation, and Guangguangshan subpopulation,
Fig. 3 in The Influence Of Dispersal On The Metapopulation Viability Of Giant Panda (Aliuropoda Melanoleuca) In The Minshan Mountains
Fig. 3. Minshan metapopulation size in 100 years, assuming different dispersal rates and probabilities of disperser survival. Different curves correspond to different dispersal rates, as shown in the legend
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.
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.
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.
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.
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.