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2,021 results for “valley”
Image 11 in Butterflies (Lepidoptera) of Dibang Valley, Mishmi Hills, Arunachal Pradesh, India
Image 11. Graphium sarpedon sarpedon
Image 4a in Butterflies (Lepidoptera) of Dibang Valley, Mishmi Hills, Arunachal Pradesh, India
Image 4a. Forest in Tiwarigaon
Image 8 in Butterflies (Lepidoptera) of Dibang Valley, Mishmi Hills, Arunachal Pradesh, India
Image 8. Lamproptera curius curius
Image 3 in Butterflies (Lepidoptera) of Dibang Valley, Mishmi Hills, Arunachal Pradesh, India
Image 3. Mishmi Hills from Dibang River Bed
Figure 1 in Three new fungi from Silent Valley National Park, Kerala, India
Figure 1. Asteridiella toddaliae sp. nov.
Figure 2 in Three new fungi from Silent Valley National Park, Kerala, India
Figure 2. Meliola clausenigena sp. nov.
Supporting data for "Spin-valley coupling in single-electron bilayer graphene quantum dots"
<p>Supporting data and analysis scripts for all figures in the article "Spin-valley coupling in single-electron bilayer graphene quantum dots", preprint: https://arxiv.org/abs/2103.04825</p> <p>The files are sorted according to the figures/panels in the publication with a "0-README.txt" file including further information. </p> <p>The following versions of Pyhton and the packages have been used:<br> python: 3.6.10<br> numpy: 1.18.1<br> matplotlib: 3.1.3<br> scipy: 1.4.1</p>
Fig. 7 in Activity budget, travel distance, sleeping time, height of activity and travel order of wild East Bornean Grey gibbons (Hylobates funereus) in Danum Valley Conservation Area
Fig. 7. Diurnal activity cycle of three gibbons (two males and one female) from 0530−1600 hours.
Fig. 9 in Activity budget, travel distance, sleeping time, height of activity and travel order of wild East Bornean Grey gibbons (Hylobates funereus) in Danum Valley Conservation Area
Fig. 9. Activity of three gibbons (two males and one female) at each height.
FIG. 13 in The Early Devonian Acanthodian Uraniacanthus curtus (Powrie, 1870) n. comb. from the Midland Valley of Scotland
FIG. 13. — Reconstruction of Uraniacanthus curtus (Powrie, 1870) n. comb.
Central_Valley_Groundwater_Datasets
<p>The datasets were used to calculate groundwater storage variation in Central Valley, CA, using GRACE and terrestrial water storage components.</p>
Agricultural margins could enhance landscape connectivity for pollinating insects across the Central Valley of California, U.S.A.
<p>One of the defining features of the Anthropocene is eroding ecosystem services as a function of decreases in biodiversity and overall reductions in the abundance of once-common organisms, including many insects that play innumerable roles in natural communities and agricultural systems that support human society. It is now clear that the preservation of insects cannot rely solely on the legal protection of natural areas far removed from the densest areas of human habitation. Instead, a critical challenge moving forward is to intelligently manage areas that include intensively farmed landscapes, such as the Central Valley of California. Here we attempt to meet this challenge with a tool for modeling landscape connectivity for insects (with pollinators in particular in mind) that builds on available information including lethality of pesticides and expert opinion on insect movement. Despite the massive fragmentation of the Central Valley, we find that connectivity is possible, especially utilizing the restoration or improvement of agricultural margins which (in their summed-area) exceed natural areas. Finally, we highlight steps moving forward and the great many knowledge gaps that could be addressed in the field to improve future iterations of our modeling approach.</p>
Dataset: Surveys (Tourists, Locals, Users). St. Georges Cultural Quarter (Leicester) & Ouseburn Valley (Newcastle upon Tyne). United Kingdom
<p>Dataset of 6 survey processes applied to different populations –locals, tourists and users– from St. George´s Cultural Quarter (Leicester) and the Ouseburn Valley (Newcastle Upon Tyne) between September 2016 and April 2020.</p> <p>Dataset with the answers to a series of questionnaires carried out to determine the brand awareness of the cultural and creative districts of Leicester, the St. George's Quarter, and Newcastle Upon Tyne, the Ouseburn Valley.</p> <p>In total, six survey processes have been carried out in which two different questionnaires have been used. The first of them is aimed at tourists and locals from Leicester and Newcastle Upon Tyne and, the second, at users of their districts St. George's Quarter and the Ouseburn Valley.</p> <p>The first questionnaire aims to determine the notoriety of the districts among tourists and locals. Hence two different survey processes were carried out using the same questionnaire, one among tourists and the other among locals. The questionnaire contains a total of 16 questions, some of them open and others closed, and is made up of five blocks intended to analyze:</p> <ol> <li>Sociodemographic characteristics. Through the first two questions of the questionnaire, the aim is to obtain sociodemographic data of the sample surveyed, such as age and sex.</li> <li>Degree of knowledge of the concept of cultural and creative districts in the city of Leicester/Newcastle Upon Tyne. This section aims to study the degree of spontaneous and suggested notoriety of the district and its logo among the public, whether tourists or locals. It asks, directly and indirectly, about some cultural and creative districts in the city and their corporate visual identity. First, it is done indirectly (spontaneous awareness) and then directly and concretely (suggested awareness).</li> <li>Degree of knowledge of different institutions, companies or organizations in the district. This part aims to detect whether the local public knows the most relevant actors in the district, regardless of whether or not the respondent is aware of the name given to the space. For this, participants are asked about the most representative areas of each district and other general activities that they may know about.</li> <li>Motivation to attend, know, use and visit the district regularly. This block aims to determine the reasons why the respondents make use of a cultural and creative district, as well as the frequency with which they visit it.</li> <li>Opinions, variables, values and characteristics linked to cultural and creative districts in general. The respondents are asked about the importance that these spaces in the city have for them and why.</li> </ol> <p>The questionnaire includes both mandatory questions and other optional ones, considering that those people who were unaware of a cultural and creative district or certain spaces within it could not answer some of the questions. It is worth noting some details of each survey process:</p> <ul> <li>The first survey process was carried out in person in September 2016 among tourists and visitors in Leicester, in the city centre, at the Leicester Tourist Office located at Gallowtree Gate.</li> <li>The second survey process took place between September and December 2017 among the inhabitants of Leicester. It was carried out in person in the city centre (specifically at Haymarket Memorial Clock Tower, Humberstone Gate and at the De Montfort University campus) and in the surroundings of Leicester's cultural and creative district (in Rutland Street).</li> <li>The third and fourth survey processes were carried out between September and December 2018 among the inhabitants and tourists of Newcastle Upon Tyne, respectively. Both processes were carried out in person in the city centre (specifically in Eldon Square, Grey's Monument, Northumberland Street and Newgate Street).</li> </ul> <p>During all these processes, the necessary instructions were given to the respondents so that they could answer the questionnaire correctly, in person and orally, and the answers obtained were recorded on a digital tablet.</p> <p>In Leicester, 50 surveys were carried out among tourists and 306 among locals. On the other hand, in Newcastle Upon Tyne, 62 surveys were carried out among tourists and 60 among locals. All of these surveys were carried out in person.</p> <p>In addition, another survey process different from the ones described above was carried out, for which a second questionnaire was used. This questionnaire has a similar structure to the first and many of the blocks are common, but focuses on understanding the reasons that led current users to a cultural and creative district become such, and how they make use of the district and its logo, its corporate visual identity, its nature as a cultural and creative space, the existing information about it, etc. The main objective of this second questionnaire, beyond determining the suggested notoriety of the districts of St. George's Quarter and the Ouseburn Valley among its users, has focused on studying the phenomenology described. To do this, a total of 17 questions are combined, some of them open and others closed, distributed into five blocks intended to analyse:</p> <ol> <li>Sociodemographic characteristics. Through the first three questions of the questionnaire, the aim is to obtain sociodemographic data of the sample surveyed, such as age, gender and current employment status.</li> <li>Opinions, variables, values and characteristics linked to cultural and creative districts in general. Respondents are asked about the importance of these spaces in the city and why they are important (if respondents consider they are).</li> <li>Degree of awareness of the nature of the cultural and creative districts among their users. This section aims to study the degree of suggested notoriety of a district and its logo among users. It asks directly about the identification of the space as a cultural and creative district and the knowledge (or not) of its corporate visual identity.</li> <li>Degree of knowledge and use of the different institutions, companies, organizations and actors in the district. This part aims to detect the level of knowledge and frequency of use of the most relevant spaces in a district by the surveyed users. Respondents are asked about the most representative areas of each district and other general activities that they may know about in them.</li> <li>Motivation to attend, get to know and visit the district regularly. This block aims to determine the reasons why respondents make use of a cultural and creative district, as well as the frequency with which they visit the space and with whom they do so. In addition, it focuses on studying how they get to it (public transport, walking, car,...) and through which means (social networks, traditional media, word of mouth,...) the surveyed users are aware of the different events that take place in the corresponding district.</li> </ol> <p>The questionnaire includes both mandatory questions and other optional ones, once again considering that those people who may be unaware of certain spaces in the cultural and creative district or certain features of it may not be able to answer some of the questions.</p> <p>Both survey processes were carried out online between March and April 2019 and 65 responses have been obtained among users of the St. George's Quarter and 86 among users of the Ouseburn Valley.</p> <p>During all the survey processes, the necessary instructions were given to the respondents so that they could answer the questionnaire correctly. Likewise, they were informed of the nature of the investigation and the identity of the interviewer, and also were provided with a contact email to send any questions or suggestions.</p> <p>In this case, the questionnaire was prepared using Google Forms and distributed from March 1 to April 30, 2020 "online" through "e-mailing" and Social Networks such as Google +, Facebook, Twitter and Instagram. For this, the different workers in the areas of interest were identified thanks to the web directories available on the corporate pages of each cultural, creative, educational actor, etc. and were contacted. In addition, concerning social networks, the questionnaire was distributed using various specific interest groups existing in the districts and through the corporate accounts of the actors in the districts, which facilitated the distribution of the questionnaire on their profiles on social networks.</p>
Africa Valley Experiments MetUM
<p>Data for MetUM model experiments which edit East African Rift System geomorphology. Associated with publication: 'Valley formation aridifies East Africa and elevates Congo Basin Rainfall'. Please contact callum.munday (at) ouce.ox.ac.uk for questions on data.</p>
Antelope Valley Earthquake Sequence Relocated Catalog
<p>Relocated earthquake catalog for the Antelope Valley Earthquake sequence in GrowClust output format. This is a space-delimited file with the following columns:</p> <ul> <li>yr mon day hr min sec: relocated origin time (columns 1-6)</li> <li>evid: event ID (column 7)</li> <li>latR lonR depR: relocated latitude, longitude and depth (decimal degrees and km; columns 8-10)</li> <li>mag: event magnitude (column 11)</li> <li>qID cID nbranch: event serial ID number, cluster serial ID number, total number of events in this cluster (columns 12-14)</li> <li>qnpair qndiffP qndiffS: number of event pairs, P-phase differential times, and S-phase differential times used to relocate this event (columns 15--17)</li> <li>rmsP rmsS: RMS residual differential times for this event for P-phases and S-phases (s; columns 18-19)</li> <li>eh ez et: estimated location errors in horizontal (km), vertical (km), and origin time (s; columns 20-22)</li> <li>latC lonC depC: initial (catalog) latitude, longitude and depth (decimal degrees and km; columns 23-25)</li> </ul> <p>Note that events that are not waveform relocated with have nbranch = 1. This includes the mainshock and several other large events, which typically have waveforms that are too complex to be confidently relocated with waveform cross-correlation.</p>
Tryps-IN: A streamlined palaeoproteomics workflow enables ZooMS analysis of 10,000-year-old petrous bones from Jordan rift-valley
<p>Poor preservation of collagen in dry and/or arid environments has hindered the application of Zooarchaeology by mass spectrometry (ZooMS) analysis in many regions of the world, and as a result many zooarchaeological investigations have relied exclusively on the morphological assessment of fragmentary remains, due to the inadequate preservation of biomolecules. The climatic conditions of Southwest Asia include extreme temperature fluctuations unconducive to preservation of proteins and DNA. We performed zooarchaeological analysis of remains from the 10,000-year-old site of Shkārat Msaied in Jordan and sub-sampled twenty-eight petrous bones, the hardest bone in the mammalian skeleton, for species identification by ZooMS. Using an unconventional and simplified extraction protocol we call Tryps-IN, in which digestion was performed without removal of the demineralising EDTA, we taxonomically identified several fragments, outperforming the established ZooMS work-flow. A subset of identifications was subsequently confirmed using liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) protein sequencing. The new methodology presented here opens the possibility of further bioarchaeological investigation of other fragmentary faunal assemblages within this region of archaeological significance. </p>
Comparing thermal regime stages along a small Yakutian fluvial valley with point scale measurements, thermal modeling and near surface geophysics
<ul> <li>Dataset associated with the paper :</li> </ul> <p>"<em>Comparing thermal regime stages along a small Yakutian fluvial valley with point scale measurements, thermal modeling and near surface geophysics</em>"</p> <p>Emmanuel Léger 1 , Albane Saintenoy 1 ,Christophe Grenier 2,† , Antoine Séjourné1 , Eric<br> Pohl2,3 , Frédéric Bouchard4, Marc Pessel1 , Kirill Bazhin5 , Kencheeri Danilov5, François<br> Costard1 , Claude Mugler2 , Alexander Fedorov5 , and Ivan Khristoforov5 and Pavel<br> Konstantinov5<br> 1 Laboratoire Geosciences Paris-Saclay, Université Paris-Saclay, CNRS, GEOPS, 91405, Orsay, France.<br> 2 Laboratoire des Sciences du Climat et de L’Environnement (LSCE), CEA CNRS UVSQ, Université<br> Paris-Saclay, Gif-sur-Yvette, France<br> 3 Department of Geosciences, University of Fribourg, Fribourg, Switzerland<br> 4 Universite de Sherbrooke Département de géomatique appliquée, Sherbrooke, QC, CA<br> 5 Melnikov Permafrost Institute, Yakutsk, Yakutia.</p>
Total estimated number of informal waste pickers or recyclers in Kathmandu Valley, as of December 2022
<p>Using key informants representing different parts of the informal waste management value chain, the RIPL project has produced an updated estimated total number of informal recyclers for Kathmandu Valley, in December 2022. The overview includes methods of calculation and names of key informants. </p>
CocciEnv qPCR data and accompanying metadata from soil and settled dust in the San Joaquin Valley
<p>Coccidioidomycosis is a typically respiratory fungal disease that, in the United States, occurs primarily in Arizona and California. In California, most coccidioidomycosis cases occur in the San Joaquin Valley, a primarily agricultural region where the disease poses a risk for outdoor workers. We collected 710 soil samples and 265 settled dust samples from nine sites in the San Joaquin Valley and examined how <em>Coccidioides</em> detection varied by month, site, and the presence and abundance of other fungal species. We detected <em>Coccidioides</em> in 89 of 238 (37.4%) rodent burrow soil samples at five undeveloped sites and were unable to detect <em>Coccidioides</em> in any of 472 surface and subsurface soil samples at four agricultural sites. In what is the largest sampling effort undertaken on agricultural land, our results provide no evidence that agricultural soils in the San Joaquin Valley harbor <em>Coccidioides</em>. We found no clear association between <em>Coccidioides</em> and the greater soil fungal community, but we identified 19 fungal indicator species that were significantly associated with <em>Coccidioides</em> detection in burrows. We also did not find a seasonal pattern in <em>Coccidioides</em> detection in the rodent burrow soils we sampled. These findings suggest both the presence of a spore bank and that coccidioidomycosis incidence may be more strongly associated with <em>Coccidioides</em> dispersal than <em>Coccidioides</em> growth. Finally, we were able to detect <em>Coccidioides</em> in only five of our 265 near-surface settled dust samples, one from agricultural land, where <em>Coccidioides</em> was undetected in soils, and four from undeveloped land, where <em>Coccidioides</em> was common in the rodent burrow soils we sampled. Our ability to detect <em>Coccidioides</em> in few settled dust samples indicates that improved methods are likely needed moving forward, though raises questions regarding aerial dispersal in <em>Coccidioides</em>, whose key transmission event likely occurs over short distances in rodent burrows from soil to naïve rodent lungs.</p>
FIG. 2. — V in The Epiphytic Bryophyte Vegetation of Buxus sempervirens L. forests in the Fırtına Valley (Rize, Turkey)
FIG. 2. — V (B) and U (A) profile valleys in Fırtına Valley.
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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.
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.