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.
393
datasets available to search
ShareScore release 0.9.0
Dataset results
393 results for “Central area”
Data from: Benefits and challenges of scaling up expansion of marine protected area networks in the Verde Island Passage, Central Philippines
Open the record for dataset details and reuse information.
Non-protected areas demanding equitable conservation strategies as of protected areas in Central Himalayan region
Open the record for dataset details and reuse information.
Data from: Robust inference on large-scale species habitat use with interview data: the status of jaguars outside protected areas in Central America
Open the record for dataset details and reuse information.
False color Landsat image of the central Arizona-Phoenix metropolitan area, period 1993
These data represent a false color image created from Landsat imagery of the central Arizona-Phoenix metropolitan area, 1993.
Ecological and social Interactions in urban parks: bird surveys in local parks in the central Arizona-Phoenix metropolitan area
Our central objective is to use small, neighborhood parks in Phoenix to study: (1) the ways in which ecological processes are influenced by human values, use, and management; and (2) the ways in which human attitudes and activities, and the services valued by humans, are influenced by ecological characteristics and processes. Elucidating this coupling in Phoenix parks will itself be a significant step towards understanding the complexities of human-nature interactions. The information gathered in addressing the central objective, though, can and should be used to assess potential trajectories for ecological processes. Our second objective is to develop trajectories for potential changes in ecosystem services in the Phoenix metropolitan area, given economic and demographic trends, and given the signal of human-nature interactions among different social groups.
Land cover classification of the central Arizona-Phoenix area using Landsat (MSS) data - year 1973
These data represent a land use classification of the central Arizona-Phoenix area. They were created using a Landsat MSS image for the year 1973.
Vertebrate species composition of remnant desert islands within central Arizona-Phoenix urban areas: period 1998-1999
Urban growth around Phoenix over the last 30 years has produced numerous isolated "islands" of remnant desert habitat. Each of these remnants has its own unique vertebrate community, determined by the fauna present prior to isolation, area of remaining habitat, vegetation characteristics, time since isolation, and distance to other islands or source populations. These factors can be used as predictors of how future growth will affect potential desert preserves.
Land cover classification of the Central Arizona-Phoenix area using Landsat Thematic Mapper (TM) data - year 1993
Land cover classification for the Central Arizona-Phoenix CAP LTER study region using Landsat Thematic Mapper (TM) data - for the year 1993
Land use change in the central Arizona-Phoenix area 1912 to 1995
Historic Land use change in the central Arizona-Phoenix area for the period 1912 to 1995. Map showing the progression of regional changes from 1912 to 1995
SAVI (Soil Adjusted Vegetation Index) Image of 1993 Landsat Thematic Mapper Image for the Central Arizona-Phoenix area
SAVI (Soil Adjusted Vegetation Index) map produced for the Central Arizona-Phoenix area from a 1993 Enhanced Landsat Thematic Mapper image.
SAVI (Soil Adjusted Vegetation Index) Image of 1985 Landsat Thematic Mapper Image for the Central Arizona-Phoenix area
SAVI (Soil Adjusted Vegetation Index) map produced from a 1990 Landsat Thematic Mapper image for the Central Arizona-Phoenix area.
Figure 4 from: Mou C, Wu Y, Xiang L, Xiang X-M, Zhang D-G (2020) Lysimachia xiangxiensis (Primulaceae), a new species from limestone area in Hunan Province, central China. PhytoKeys 140: 23-32. https://doi.org/10.3897/phytokeys.140.47995
Figure 4 Lysimachia xiangxiensis sp. nov. A upper stem leaf (abaxial surface), showing revolute margins B lower stem leaf (adaxial surface) C portion of a leaf (abaxial surface), showing the revolute margins and strigillose midrib D plant in flowering E corolla lobes F pistil.
Figure 3 from: Mou C, Wu Y, Xiang L, Xiang X-M, Zhang D-G (2020) Lysimachia xiangxiensis (Primulaceae), a new species from limestone area in Hunan Province, central China. PhytoKeys 140: 23-32. https://doi.org/10.3897/phytokeys.140.47995
Figure 3 Lysimachia xiangxiensis sp. nov. in the field A corolla opened, showing the suborbicular lobes B flower (lateral view), showing the lanceolate calyx lobes indistinctly costate C proximal stems and underground part, showing stems clustered, rhizome, sparse fibrous roots, and 1 or 2 pairs of scalelike basal leaves D longitudinal section of flower, showing filaments connate basally into a tube E pistil, showing strigillose hairs on apex of ovary and base of style F dehiscent capsule G plant in fruiting, showing the recurved pedicels H plant in flowering, showing the solitary flowers in axils of upper leaves I plant in flowering, showing the reduced basal leaves J papillate seeds
Figure 2 from: Mou C, Wu Y, Xiang L, Xiang X-M, Zhang D-G (2020) Lysimachia xiangxiensis (Primulaceae), a new species from limestone area in Hunan Province, central China. PhytoKeys 140: 23-32. https://doi.org/10.3897/phytokeys.140.47995
Figure 2 Lysimachia xiangxiensis sp. nov. in the wild A habitat (dry limestone cliff) B stems drooping on the cliff.
Figure 1 from: Mou C, Wu Y, Xiang L, Xiang X-M, Zhang D-G (2020) Lysimachia xiangxiensis (Primulaceae), a new species from limestone area in Hunan Province, central China. PhytoKeys 140: 23-32. https://doi.org/10.3897/phytokeys.140.47995
Figure 1 The phylogram of Bayesian inference (BI) tree from the ITS sequence data, showing the phylogenetic position of Lysimachia xiangxiensis sp. nov. (shown in bold). Values above the branches represent Bayesian posterior probabilities (PP) and bootstrap values (LP) for maximum likelihood, respectively; the dash (–) indicates LP < 50%.
Fig. 3 in Capparis macrantha sp. nov. (Capparaceae, Brassicales), a new shrub species from a deciduous forest of the Nam Kading National Protected Area (central Lao PDR)
Fig. 3. Known distribution of Capparis macrantha Souvannakhoummane, Fici & Lanorsavanh sp. nov. (red circle).
Fig. 2 in Capparis macrantha sp. nov. (Capparaceae, Brassicales), a new shrub species from a deciduous forest of the Nam Kading National Protected Area (central Lao PDR)
Fig. 2. Capparis macrantha Souvannakhoummane, Fici & Lanorsavanh sp. nov. A. Habit and detail of a branch bearing thorns. B. Flowering branch. C. Young twigs. D. Young leaves. E. Flower (top view). F. Flower (lateral view). G. Petal (outside view). Photos by S. Lanorsavanh.
Fig. 1 in Capparis macrantha sp. nov. (Capparaceae, Brassicales), a new shrub species from a deciduous forest of the Nam Kading National Protected Area (central Lao PDR)
Fig. 1. Capparis macrantha Souvannakhoummane, Fici & Lanorsavanh sp. nov. A. Flowering branch. B. Flower (lateral view). C. Flower (front view). D. Stipular thorn and petiole. E. Sepals. F. Petals. G. Gynophore and ovary. H. Stamens. Drawn from holotype (Lanorsavanh et al. SL1641) by K. Souvannakhoummane.
Social (-ecological) network analysis in environmental governance - central publications, important concepts and areas of application data collected in January 2019
<p>Social and Social-Ecological Network Analysis (S(E)NA) have recently emerged as new methods in the environmental governance (EG) literature. By investigating networks of connections between actors, S(E)NA advances the understanding of who is involved in EG and how. We provide an overview of the EG literature applying S(E)NA and respective metrics of 1) a citation network analysis, 2) topic detection methods and 3) a similarity network analysis. 20 publications occupy central positions as sources, storers or bridges of knowledge in the citation network. While we see S(E)NA applied in diverse resource contexts, these are mainly discussed on the local spatial level, with a focus on “policy” or “collaboration”. We discover that “power structures” and “the production of knowledge” are themes influencing the whole field.</p>
FIGURE 1. Study area. A in Four new species of the interstitial family Cobanocytheridae (Crustacea: Ostracoda) from central Japan
FIGURE 1. Study area. A, map of Japan; B, sampling sites.
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.