Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,239
datasets available to search
ShareScore release 0.9.0
Dataset results
1,239 results for “rural”
Nectar values from: Quantifying nectar production by flowering plants in urban and rural landscapes
<p>Floral resources (nectar and pollen) provide food for insect pollinators but have declined in the countryside due to land use change. Given widespread pollinator loss, it is important that we quantify their food supply to help develop conservation actions. While nectar resources have been measured in rural landscapes, equivalent data are lacking for urban areas, an important knowledge gap as towns and cities often host diverse pollinator populations.</p> <p>We quantified the nectar supply of urban areas, farmland and nature reserves in the UK by combining floral abundance and nectar sugar production data for 536 flowering plant taxa, allowing us to compare landscape types and assess the spatial distribution of nectar sugar among land uses within cities.</p> <p>The magnitude of nectar sugar production did not differ significantly among the three landscapes. In urban areas the nectar supply was more diverse in origin and predominantly delivered by non-native flowering plants. Within cities, urban land uses varied greatly in nectar sugar production. Gardens provided the most nectar sugar per unit area and 85% of all nectar at a city scale, while gardens and allotments produced the most diverse supplies of nectar sugar. Floral abundance, commonly used as a proxy for pollinators' food supply, correlated strongly with nectar resources, but left a substantial proportion of the variation in nectar supply unexplained.</p> <p>Synthesis. We show that urban areas are hotspots of floral resource diversity rather than quantity and their nectar supply is underpinned by the contribution of residential gardens. Individual gardeners have an important role to play in pollinator conservation as ornamental plants, usually non-native in origin, are a key source of nectar in towns and cities.</p>
Database of Rural Technological Trajectories of the Legal Amazon delimited by the Method of Differentiation and Structural Signification of Rural Production
<p>This database contains selected variables associated with the rural economic sector of the Brazilian Legal Amazon distributed at municipal level by technological trajectories (TT) – techno-productive trajectories and their technological variants (TTP) -, as defined and theoretically justified by Costa (2021, p. 217-219).</p> <p>The TTs are designed by a method that combines <em>differentiation and structural signification</em> of rural production in a given territory – hereafter, Method of Differentiation and Structural Signification of Rural Production (M-DESTRU).</p> <p><em>Structural differentiation</em> (Phase 1) is necessary because production systems activities play different roles, depending on the systems production modes and their territorial context: cattle ranching, for example, performs very different economic functions when practiced in family structures (peasants) in the municipalities of the Lower Amazonas, in comparison with wage-based farms in Southeast Pará; the roles played by temporary crops in the peasant systems of the Lower Tocantins are also quite different from those that are observed among employers' establishments in the Lower Amazon; and so on. This phase of the methodology qualifies these differences and has its procedures described on pages 441 and 442 of Costa (2021).</p> <p>In phase 2, M-DESTRU verifies how these structurally dissimilar activities, combine with others linked to the practices of the agents of each production mode, conforming convergences that result in distinct patterns. These <em>patterns</em> are semantically associated with TTs or TTPs<em> structures</em> that are in movement, and these structures all together make up for the region's rural economic system. This Phase's procedures are detailed on pages 441 and 442 of the aforementioned work.</p> <p>The territory of the Brazilian Legal Amazon encompasses 772 municipalities: all from eight states (Acre, Amapá, Amazonas, Mato Grosso, Pará, Rondônia, Roraima and Tocantins) and part of the State of Maranhão (west of the 44ºW meridian).</p> <p>The base data are from the Brazilian Institute of Geography and Statistics (IBGE), from the 1995, 2006 and 2017 Agricultural Censuses. The credit data for 2017 are from the Central Bank of Brazil.</p> <p>The dataset is organized as: Zen1995_LegalAmazon_Inicial.csv; Zen2006_LegalAmazon_Inicial.csv and Zen2017_LegalAmazon_Inicial.csv. In each table the column names are self-explanatory.</p> <p> </p> <p>Reference:</p> <ul> <li>Costa FA. 2021. Structural diversity and change in rural Amazonia: A comparative assessment of the technological trajectories based on agricultural censuses (1995, 2006 and 2017). Nova Economia 31(2). <p> </p> <p> </p> <p> </p> </li> </ul>
Roman Rural Landscapes in Noricum (video abstract)
<p>The Roman province of Noricum (mostly today's Austria) was part of the Roman Empire from 15 BC to AD 488. Archaeologists continuously study specific areas of this province, mainly particular sites at the so-called Danube limes. Eventually, this practice resulted in enhanced knowledge of these specific sites, while, on the contrary, our archaeological knowledge about the rural settlement in the Roman province's hinterland remained understudied. This inadequate knowledge of rural settlement concerns mainly the section located in today's Lower Austria. Therefore, the dissertation project "Roman Rural Landscapes in Noricum: Archaeological Investigations on Roman Settlement in the Hinterland of Northern Noricum" by Dominik Hagmann deals with the archaeological settlement activities of the ripa Norica's hinterland and studies ancient settlement in a precisely defined area of investigation in the north of the former Roman province of Noricum.</p>
Digitizing the Roman Rural Landscape in Noricum. Möglichkeiten und Grenzen digitalarchäologischer Studien zum Hinterland einer römischen Provinz
<p>Using digital methods extensive and diverse data stocks can be generated within the scope of archaeology. Using that data can actively contribute to the protection of historic monuments, as the example of Oberndorf an der Melk shows, or can preserve highly detailed replicas of the archaeological sites virtually, as seen in the case of Petzenkirchen. However, it is of highest importance of dealing with various forms of best practice guidelines during every step of the workflow related to digital data to guarantee sustainable data.</p>
CONSOLE_WP3_Task3.2_ Pan-EU survey of farmers and other rural landowners_AT_2022.10.25
<p>Dataset containing information about the structural equation model carried out in Austria for the CONSOLE (CONtract Solutions for Effective and lasting delivery of agri-environmental-climate public goods by EU agriculture and forestry) Project</p>
Object neophilia in wild herring gulls in urban and rural locations
<p>Living with increasing urbanisation and human populations requires resourcefulness and flexibility in wild animals' behaviour. Animals have to adapt to anthropogenic novelty in habitat structure and resources that may not resemble, or be as beneficial as, natural resources. Herring gulls (Larus argentatus) increasingly reside in towns and cities to breed and forage, yet how gulls are adjusting their behaviour to life in urban areas is not yet fully understood. This study investigated wild herring gulls' responses to novel and common anthropogenic objects in urban and rural locations. We also examined whether gulls' age influenced their object response behaviour. We found that, out of the 126 individual gulls presented with objects, 34% approached them. This suggests that the majority of targeted gulls were wary or lacked interest in the experimental set-up. Of the 43 gulls that approached the objects, we found that those tested in urban locations approached more slowly than their rural counterparts. Overall, gulls showed no preference for either novel or common anthropogenic objects, and age did not influence likelihood of approach, approach speed or object choice. Individuals paid most attention to the object they approached first, potentially indicative of individual preferences. Our findings indicate that most herring gulls are not as attracted to anthropogenic objects as anecdotal reports have suggested. Covering up obvious food rewards may thus help mitigate human-gull conflict over anthropogenic food sources.</p>
Figure 3 in Microbial source tracking and antimicrobial resistance in one river system of a rural community in Bahia, Brazil
Figure 3. Locations and copy numbers for human- and ruminant-indicative Bacteroides spp. DNA extracted from the material retained from filtration of 500 ml was used for qPCR determination of rDNA copy number. The size of the indicated shapes in the figure is proportional to the copy number/ml at that point as indicated in the legend. Inset shows points 12 and 13 at the same scale as the main figure.
Figure 2 in Microbial source tracking and antimicrobial resistance in one river system of a rural community in Bahia, Brazil
Figure 2. Locations and concentrations of coliforms and E. coli at water collection points. A volume of water (100 µl – 1 ml) collected mid-stream was plated using the Coliscan culture system. Colonies were identified and counted at 48h. The size of the indicated shapes in the figure is proportional to the number of colonies/ml cultured as indicated in the legend. Inset shows points 12 and 13 at the same scale as the main figure.
Figure 1 in Microbial source tracking and antimicrobial resistance in one river system of a rural community in Bahia, Brazil
Figure 1. Study area, rivers and water collection sites. The collection points on the Jiquiriçá River are P1-5; collection points on the Brejões P6-8. P3 is at the junction of the 2 rivers, and P9 and P10 are from the water treatment plant and an outside faucet, respectively. Left inset – Location of Bahia state, Salvador and Jenipapo within Brazil based on Wikimedia Commons (2011). Right inset – relationship of P12 and P13 to Jenipapo. These 2 points represent the source of piped water for the community and the furthest point upstream for collection on the Brejões River, respectively. Inset modified from Wikimedia Commons (2011).
Analysing socio-economic and environmental circumstances of rural communities
<table> <tbody> <tr> <td>The data presented are derived from desk studies, and were used to assess landscape characteristics, socio-economic conditions, farming practices, needs, and perceptions regarding agroecology, adaptive capacity, vulnerability to climate change, and capacity-building needs. The data were based on primary data collected in the field and the biophysical characteristics of each ALL.</td> </tr> </tbody> </table>
Figure 1 in Species richness of urban and rural fish assemblages in the Grijalva Basin floodplain, southern Gulf of Mexico
Figure 1. – Map of the study area in the floodplain of the Grijalva Basin. Sampling sites (ID), 1 = Gordiano, 2 = La Pólvora, 3 = Ilusiones, 4 = Costeñito and 5 = Loma de Caballo urban lagoons (circles); 6 = Campo, 7 = Manguito, 8 = Pucté, 9 = Maluco and 10 = Playa de Poza rural lagoons (stars); and 11 = González, 12 = Carrizal, 13 = Grijalva, 14 = Pichucalco and 15 = Samaria rivers (triangles) in rural sites. MR = Mezcalapa River; MvR = Mezcalapa Viejo River. Map modified of http:// antares.inegi.org.mx/analisis/red_ hidro/SIATL/#
Figure 2 in An ethno-botanical study of indigenous medicinal plants and their usage in rural valleys of Swabi and Hazara region of Pakistan
Figure 2. Gender and age character (age limit is <30>40 year) of peoples interviewed in the study area.
Fig. 4 in Integrated pest management of the German cockroach (Blattodea: Blattellidae) in manufactured homes in rural North Carolina
Fig. 4. Distribution of German cockroaches from trap catches at various locations within homes of individual participants.
Fig. 2 in Integrated pest management of the German cockroach (Blattodea: Blattellidae) in manufactured homes in rural North Carolina
Fig. 2. Trend of monthly mean cockroach trap catches per participant over the sampling period (Oct 2011 to Mar 2014) during the Pre-IPM, IPM-education, and IPM-education plus bait intervention phases.
Fig. 3 in Integrated pest management of the German cockroach (Blattodea: Blattellidae) in manufactured homes in rural North Carolina
Fig. 3. Total population levels and decrease (%) of German cockroach populations from all participants during the Pre-IPM, IPM-education, and IPM-education plus bait intervention phases for 6 manufactured homes in rural North Carolina.
Fig. 1 in Integrated pest management of the German cockroach (Blattodea: Blattellidae) in manufactured homes in rural North Carolina
Fig. 1. Population fluctuations of German cockroaches from Oct 2011 to Mar 2014 in 6 manufactured homes in rural North Carolina during the Pre-IPM, IPMeducation, and IPM-education plus bait intervention phases.
Fig. 4 in Maintenance of Trypanosoma cruzi, T. evansi and Leishmania spp. by domestic dogs and wild mammals in a rural settlement in Brazil-Bolivian border
Fig. 4. Path analysis on the influences of contact and feeding on wild mammals in relation to infections of dogs surveyed at Urucum settlement, Corumbá, Mato Grosso do Sul, Brazil in 2015.
Fig. 3 in Maintenance of Trypanosoma cruzi, T. evansi and Leishmania spp. by domestic dogs and wild mammals in a rural settlement in Brazil-Bolivian border
Fig. 3. Path analysis on the influences of infections in relation to physical examination of dogs surveyed at Urucum settlement, Corumbá, Mato Grosso do Sul, Brazil in 2015.
Fig. 2 in Maintenance of Trypanosoma cruzi, T. evansi and Leishmania spp. by domestic dogs and wild mammals in a rural settlement in Brazil-Bolivian border
Fig. 2. Three-way Venn diagram illustrating coinfection, single infection or no infection of T. cruzi, T. evansi, and Leishmania spp. in 62 dogs from the Urucum settlement along the Brazil-Bolivia border. Total numbers and percentages are presented.
Fig. 1 in Maintenance of Trypanosoma cruzi, T. evansi and Leishmania spp. by domestic dogs and wild mammals in a rural settlement in Brazil-Bolivian border
Fig. 1. The Brazil-Bolivian border and Urucum settlement (Corumbá, MS) demonstrating the site of collections.
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.