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1,000 results for “regional distribution”

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zenodo36/100

Spatial distributions of XCO2 seasonal cycle amplitude and phase over northern high-latitude regions

<p>This dataset is the GEOS-Chem model output used in the following publication,&nbsp;<br> Jacobs, N., Simpson, W. R., Graham, K. A., Holmes, C., Hase, F., Blumenstock, T., Tu, Q., Frey, M., Dubey, M. K., Parker, H. A., Wunch, D., Kivi, R., Heikkinen, P., Notholt, J., Petri, C., and Warneke, T.: Spatial distributions of&nbsp;<em>X<sub>CO</sub></em><sub>2</sub>&nbsp;seasonal cycle amplitude and phase over northern high latitude regions, <em>Atmos. Chem. Phys. Discuss.</em> [preprint],&nbsp;https://doi.org/10.5194/acp-2021-185, in review, 2021.</p> <p>The version 2 zip file contains three directories.<br> CO2_tracers_daily/GEOSChem.taggedCO2.YYYYMMDD.nc files:&nbsp;this directory contains the&nbsp;CO<sub>2</sub> simulation as defined by Jacobs et al. (2021). YYYY indicates year, MM indicates month, and DD indicates day.<br> CO2_tracers_monthly/GEOSChem.taggedCO2.YYYYMM.nc files: this directory contains the CO<sub>2</sub> simulation as defined by Jacobs et al. (2021). YYYY indicates year and MM indicates month.<br> TT_tracers/GEOSChem.TTtagged.YYYYMM.nc files: this directory contains the tagged tracers simulation as defined by Jacobs et al. (2021).&nbsp;YYYY indicates year and MM indicates month.</p> <p>The version 1 zip file contains only the monthly mean directories.</p>

opencc-by-4.0Oct 2021View details →
dryad36/100

Codes for simulation and data for: The relationship between local and regional extinction rates depends on species distribution patterns

<p>The rapid loss of biodiversity poses a great threat to ecosystem functions and services. Credible estimation of species extinction rates is essential for understanding the magnitude of biodiversity loss and for informing conservation, but this has been a challenge because estimated extinctions are unverifiable due to the lack of data. In this study, we investigated the relationship between local and regional extinctions and assessed the effects of range size, spatial segregation, and patchiness of species distribution on this local-regional extinction relationship. We found that regional extinction rates had a convex relationship with local extinction rates, that is, the regional extinction rate was most likely to be lower than the average local rate. The regional rates deviated from local rates as the sampling area decreased. The difference between local and regional extinction rates (local-regional extinction difference) became larger if a higher number of species had larger range sizes and patchiness. We also detected that there were interactive effects among these factors. Species segregation had a weak positive relationship with the local-regional extinction difference if more species had relatively large range sizes. As the sampling areas increased, the range size showed smaller positive effects on local-regional differences, but patchiness showed larger positive effects. The local-regional extinction relationship of this study provides insights into the spatial scaling of biodiversity loss and offers some important cues for estimating regional extinctions from local data in future studies.</p>

opencc-zeroDec 2021View details →
zenodo36/100

Fig. 1 in Diversity And Distribution Of Naked Amoebae In Water Bodies Of Sumy Region (Ukraine)

Fig. 1. Sampling localities (Sumy Region, Ukraine).

opencc-by-4.0May 2019View details →
zenodo36/100

Fig. 1 in The Amount And Distribution Of The Red Data Book Bird Wetland Species In The Azov-Black Sea Region Of Ukraine According To The Results Of August Counts 2004-2015

Fig. 1. Number of August Counts in the different wetlands of Azov-Black Sea coast of Ukraine.

opencc-by-4.0Mar 2018View details →
zenodo36/100

Fig. 3 in Current Distribution Of The Introduced Rock Lizards Of The Darevskia (Saxicola) Complex (Sauria, Lacertidae, Darevskia) In Zhytomyr Region (Ukraine)

Fig. 3. «Brown melanist» (partially melanist) D. dahli from near Denyshy Village.

opencc-by-4.0May 2016View details →
dryad36/100

Data from: Distributional trends and species richness of Maryland, USA stoneflies (Insecta: Plecoptera), with an emphasis on the Appalachian region

<p>Faunistic studies of regional biodiversity of aquatic insects are increasing in importance as declines are noted globally. Federal and state government conservation attempts for rare and threatened species are predicated upon the initial research of specialized taxonomists and trained field biologists. Reporting of aquatic insect occurrence data provides a baseline for conservation agencies to compare water quality monitoring studies. Updated fieldwork, literature reviews, and database queries for stoneflies from the mid-Atlantic USA state of Maryland necessitated an assessment of species diversity for the state. Seven new state records and one new literature record are presented, bringing the total number of species to 122. Chao1 estimates of species richness are presented for diversity hotspots and the state as a whole, indicating that increased sampling is still necessary to fully understand diversity patterns. Accompanying are assessments of elevation trends and adult presence patterns within nine families. Collections are predominantly restricted to the Appalachian region, herein we direct future efforts to focus on understudied regions. An outline of distribution knowledge for species is presented to inform upcoming State Wildlife Action Plans.</p>

opencc-zeroSep 2022View details →
zenodo36/100

Supplementary material associates to Article Distribution of nutrients and chlorophyll across an equatorial reef region: Insights on coastal gradients

<p>Supplementary material associates to Article: Distribution of nutrients and chlorophyll across an equatorial reef region: Insights on coastal gradients</p>

opencc-by-4.0Oct 2022View details →
zenodo36/100

Figs 1–3 in On distribution of the shore fly Lamproscatella aklavik Mathis, 1979 (Diptera: Ephydridae) in the Palaearctic Region

Figs 1–3. Lamproscatella aklavik Mathis, ♂: 1 – head, dorsolateral view; 2 – epandrium

opencc-by-4.0Mar 2022View details →
zenodo36/100

Fig. 1 in Spatial distribution of gastropods (Mollusca: Gastropoda) from the Kaliningrad Region (Russia) water bodies

Fig. 1. Distribution of sampling stations for gastropods.

opencc-by-4.0Nov 2017View details →
zenodo36/100

Рис. 2. ЧисΛенность кабанов в разΛичные гоΔы на 10 км маршрута in The ecology and distribution of wild boars (Sus scrofa Linnaeus, 1758) in the foothills of the Martakert Region of the Republic of Artsakh

Рис. 2. ЧисΛенность кабанов в разΛичные гоΔы на 10 км маршрута

opencc-by-4.0Dec 2021View details →
zenodo36/100

Рис. 1. Карта района иссΛеΔований: 1 — Тонашен; 2 — Варнкатаг; 3 — Магавуз in The ecology and distribution of wild boars (Sus scrofa Linnaeus, 1758) in the foothills of the Martakert Region of the Republic of Artsakh

Рис. 1. Карта района иссΛеΔований: 1 — Тонашен; 2 — Варнкатаг; 3 — Магавуз

opencc-by-4.0Dec 2021View details →
zenodo36/100

Fig. 4 in Occurrence and regional distribution of Aelurostrongylus abstrusus in cats in Germany

Fig. 4 Regional geographical distribution of Aelurostrongylus abstrusus in cats in Germany

opencc-by-4.0Dec 2012View details →
zenodo36/100

Fig. 2 in The ecology and distribution of wild boars (Sus scrofa Linnaeus, 1758) in the foothills of the Martakert Region of the Republic of Artsakh

Fig. 2. The number of wild boars in different years in 10 km route

opencc-by-4.0Dec 2021View details →
zenodo36/100

Fig. 5. A in Evidence Supporting the Concept of a Regionalized Distribution of Testate Amoebae in the Arctic

Fig. 5. A hypothetical model for explaining the species diversity in the Arctic.

opencc-by-4.0Dec 2016View details →
zenodo36/100

Figure 1 in On distribution of Lampyris noctiluca (Linnaeus, 1767) (Coleoptera, Lampyridae) in the Amur region

Figure 1. Distribution of Lampyris noctiluca in the basins of the Amur and Uda rivers

opencc-by-4.0Mar 2018View details →
zenodo36/100

Mapping shallow groundwater solute footprints in arid regions using a hydrologically enhanced species distribution model

<p>The topography-only SDM of shallow groundwater and deep groundwater, the final models-SDM maps of shallow groundwater, their improvements, the original dataset of water chemistry, and the related R script in the study are available here</p>

opencc-by-4.0Jul 2024View details →
zenodo36/100

Spatio-temporal distribution of LSD outbreaks in the Balkan region since deecember 2016 until November 2017 and cattle density (animals/square km)

<p>The European Food Safety Authority (EFSA), under request of the European Commission, performed an epidemiological analysis of the lumpy skin disease (LSD) epidemics based on the data collected from the affected and at-risk Member States and non-EU countries in south-eastern Europe. Spatial and temporal (monthly) distribution of LSD outbreaks reported in the Balkan region between December 2016 and November 2017 and cattle density (animals/square km) shown as green shade (for Bosnia and Herzegovina data at regional level are not available). LSD outbreaks were reported in this time frame only in Albania, the former Yugoslav Republic of Macedonia and Greece. Red and grey dots indicate new and past outbreaks, respectively.</p> <p>*This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo Declaration of Independence</p>

opencc-by-4.0Jan 2018View details →
zenodo36/100

Figure 1 in Preliminary study on distribution, diversity, and ecological characteristics of nonmarine Ostracoda (Crustacea) from the Erzincan region (Turkey)

Figure 1. Map illustrating the location of the 89 sampling sites randomly selected in Erzincan.

opencc-by-4.0May 2014View details →
zenodo36/100

Figure. Maps of Turkish provinces and regions. in Checklist of Turkish Raphidioptera on the basis of distribution pattern and biogeographical analysis

Figure. Maps of Turkish provinces and regions.

opencc-by-4.0Feb 2015View details →
zenodo36/100

Figure 2 in C-Heterochromatin and nucleolus organizer region distribution of Myotis emarginatus (Chiroptera: Vespertilionidae) from Turkey

Figure 2. Standard karyotype of Myotis emarginatus in Turkey.

opencc-by-4.0Dec 2019View details →

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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