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9,882 results for “Scale”

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dryad32/100

Multi-scale drivers of soil resistance predict vulnerability of seasonally wet meadows to trampling by pack stock animals in the Sierra Nevada, USA

Open the record for dataset details and reuse information.

publicOct 2020View details →
dryad32/100

Metabolic theory of ecology successfully predicts distinct scaling of ectoparasite load on hosts

Open the record for dataset details and reuse information.

publicDec 2019View details →
dryad32/100

A large-scale microelectromechanical-systems-based silicon photonics LiDAR

Open the record for dataset details and reuse information.

publicJan 2022View details →
dryad32/100

Environmental correlates of fine-scale juvenile steelhead trout (Oncorhynchus mykiss) habitat use and movement patterns in an intermittent estuary during drought

Open the record for dataset details and reuse information.

publicSep 2020View details →
dryad32/100

Data for: Scaling relationships in Formica ants with continuous worker size variation

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publicAug 2020View details →
dryad32/100

Sperm morphology and count vary with fine-scale changes in local density in a wild lizard population

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publicOct 2019View details →
dryad32/100

Hydrology, geochemistry, and microbiology data from meter-scale infiltration experiments exploring the impact of a woodchip soil amendment on nitrate removal during infiltration

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publicJul 2018View details →
dryad32/100

Data from: Scale-dependent effects of forest restoration on Neotropical fruit bats

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publicApr 2013View details →
edi32/100

Catchment scale soil variably in Marshall Gulch, Santa Catalina Mountains Critical Zone Observatory (CZO), Arizona, 2012

The quantification and prediction of soil properties is fundamental to further understanding the Critical Zone (CZ). In this study we aim to quantify and predict soil properties within a forested catchment, Marshall Gulch, AZ. Input layers of soil depth (modeled), slope, Saga wetness index, remotely sensed normalized difference vegetation index (NDVI) and national agriculture imagery program (NAIP) bands 3/2 were determined to account for 95% of landscape variance and used as model predictors. Target variables including soil depth (cm), carbon (kg/m 2 ), clay (%), Na flux (kg/m 2 ), pH, and strain are predicted using multivariate linear step-wise regression models. Our results show strong correlations of soil properties with the drainage systems in the MG catchment. We observe deeper soils, higher clay content, higher carbon content, and more Na loss within the drainages of the catchment in contrast to the adjacent slopes and ridgelines.

openCC0Jul 2020View details →
edi32/100

Century-scale channel changes for the Salt River, central Arizona-Phoenix.

Study how the geomorphology of the Salt River channel has changed over the last 100 years and how factors such as the damming of the Salt and Verde Rivers and gravel mining operations have contributed to these changes. For more than 1,000 years there has been a city on the banks of the Salt and Gila Rivers in the vicinity of what is now Phoenix. The course of natural processes as embodied by the river have interacted with the course of human events as evidenced by the city, each exerting influence on the other. The myriad of tangled connections between the natural and social systems has inevitably altered each of them, so that understanding of one without understanding of the other is incomplete. Within the last 100 years, intensive technological development of the river resources, its space, water, materials, and biotic complements, has radically altered the natural processes and forms of the river. At the same time, the river has influenced development of the city, sometimes as a resource such as recreational space, and sometimes as a hazard such as flooding. This constantly changing fluvial system, integrating natural and artificial influences, is the foundation for the primary riparian ecosystems of the region. The research questions of this project are: (1) What has been the nature of change in the geomorphic/riparian system, and how have human and natural factors controlled the distribution and intensity of the change over the past century? (2) Why does the river have its present geomorphic/riparian configuration, and how stable is that arrangement from geomorphic, hydrologic, and geographic perspectives? and (3) How does the river respond to ongoing changes in the spatial arrangement of human activities and attending technological impacts? This project promises improved understanding of the dynamics of dryland rivers, especially how and why they change under the influence of urban development. The research also promises to provide an integrating factor in the

openOpenJan 2020View details →
edi32/100

Database of Geographic Information: Hill shade, of the 1:250000 scale Digital Elevation Model of Arizona

This data set is a hill shade, of the 1:250000 scale Digital Elevation Model of Arizona. Digital Elevation Model (DEM) is the terminology adopted by the USGS to describe terrain elevation data sets in a digital raster form. The standard DEM consists of a regular array of elevations cast on a designated coordinate projection system. The DEM data are stored as a series of profiles in which the spacing of the elevations along and between each profile is in regular whole number intervals. The normal orientation of data is by columns and rows. Each column contains a series of elevations ordered from south to north with the order of the columns from west to east. The DEM is formatted as one ASCII header record (A-record), followed by a series of profile records (B-records) each of which include a short B-record header followed by a series of ASCII integer elevations per each profile. The last physical record of the DEM is an accuracy record (C-record). A 30-minute DEM (2- by 2-arc second data spacing) consists of four 15-by 15-minute DEM blocks. Two 30-minute DEM's provide the same coverage as a standard USGS 30- by 60-minute quadrangle. Saleable units are 30- by 30-minute blocks, that is, four 15- by 15-minute DEM's representing one half of a 1:100,000-scale map.

openOpenJan 2020View details →
edi32/100

Century-scale channel change in central Arizona-Phoenix: photographs of selected reaches of the Salt River in different years

Study how the geomorphology of the Salt River channel has changed over the last 100 years and how factors such as the damming of the Salt and Verde Rivers and gravel mining operations have contributed to these changes. For more than 1,000 years there has been a city on the banks of the Salt and Gila Rivers in the vicinity of what is now Phoenix. The course of natural processes as embodied by the river have interacted with the course of human events as evidenced by the city, each exerting influence on the other. The myriad of tangled connections between the natural and social systems has inevitably altered each of them, so that understanding of one without understanding of the other is incomplete. Within the last 100 years, intensive technological development of the river resources, its space, water, materials, and biotic complements, has radically altered the natural processes and forms of the river. At the same time, the river has influenced development of the city, sometimes as a resource such as recreational space, and sometimes as a hazard such as flooding. This constantly changing fluvial system, integrating natural and artificial influences, is the foundation for the primary riparian ecosystems of the region. The research questions of this project are: (1) What has been the nature of change in the geomorphic/riparian system, and how have human and natural factors controlled the distribution and intensity of the change over the past century? (2) Why does the river have its present geomorphic/riparian configuration, and how stable is that arrangement from geomorphic, hydrologic, and geographic perspectives? and (3) How does the river respond to ongoing changes in the spatial arrangement of human activities and attending technological impacts? This project promises improved understanding of the dynamics of dryland rivers, especially how and why they change under the influence of urban development. The research also promises to provide an integrating factor in the

openOpenJan 2020View details →
zenodo28/100

FIGURE 1 in Two new scale insect species (Hemiptera: Coccomorpha: Acanthococcidae and Pseudococcidae) and a new country record from protected areas in Iran

FIGURE 1. Adult female of Phenacoccus poae sp. n.

opennotspecifiedDec 2019View details →
zenodo28/100

FIGURE 3 in Two new scale insect species (Hemiptera: Coccomorpha: Acanthococcidae and Pseudococcidae) and a new country record from protected areas in Iran

FIGURE 3. Adult female of Rhizococcus asperulae sp. n.

opennotspecifiedDec 2019View details →
zenodo28/100

FIGURE 4 in Two new scale insect species (Hemiptera: Coccomorpha: Acanthococcidae and Pseudococcidae) and a new country record from protected areas in Iran

FIGURE 4. Adult female of Rhizococcus istersianus (Goux).

opennotspecifiedDec 2019View details →
zenodo28/100

FIGURE 2 in Two new scale insect species (Hemiptera: Coccomorpha: Acanthococcidae and Pseudococcidae) and a new country record from protected areas in Iran

FIGURE 2. Live females of Rhizococcus asperulae sp. n. on Asperula glomerata (Rubiaceae).

opennotspecifiedDec 2019View details →
zenodo28/100

Poleward expanding species and non-indigenous species along the Italian, Croatian and Montenegrin coasts: a large‐scale survey based on online questionnaires.

<p>The following dataset contains information from an online survey that was carried out by three different research institutes: the Institute for Environmental Protection and Italy (ISPRA), the IRBIM- CNR, Institute of Biological Resources and Marine Biotechnologies, National Research Council, Ancona, Italy and the Institute of Oceanography and Fisheries, Split, Croatia. The survey was implemented on Google Forms and it was advertised on Facebook groups about recreational spearfishing and sea angling; some questionnaires were also snowballed in the community of recreational spearfishers and sea anglers, on Twitter. Respondents were from Italy, Croatia and Montenegro. The questionnaire was translated in Italian and Croatian. Overall, the questionnaire took approximately 10 minutes to complete.</p>

opencc-by-4.0Dec 2019View details →
zenodo28/100

A Large Scale Empirical Study of the Impact of Spaghetti Code and Blob Anti-patterns on Program Comprehension

<p>Dataset and scripts used for the paper.</p>

opencc-by-4.0Dec 2019View details →
zenodo28/100

A large-scale Twitter dataset for drug safety applications mined from publicly existing resources

<p>This dataset consists of&nbsp;1,181,993&nbsp;Tweet Ids, obtained as a result from the paper - A large-scale Twitter dataset for drug safety applications mined from publicly existing resources.</p> <p>The Tweet Ids can be hydrated using &nbsp;<strong>twarc</strong>, a command line tool and Python library for archiving Twitter JSON data. Please follow these instructions to install twarc -&nbsp;<a href="https://github.com/DocNow/twarc">https://github.com/DocNow/twarc</a></p> <p>It will take less than 4&nbsp;hours to hydrate the tweet ids&nbsp;using twarc.&nbsp;</p> <p>If you intend to use the dataset, please cite the paper.&nbsp;</p>

opencc-by-4.0Jan 2020View details →
zenodo28/100

Simulation data used for publication "Dilatory and downward development of 3-meter scale irregularities in the Funnel-like region of Equatorial Plasma Bubble" by Tulasi Ram et al.

<p>The dataset includes two-dimensional simulation output used in the paper.</p> <p>&quot;altitude_eq.dat&quot; and &quot;zonal.dat&quot; contains grid information.</p> <p>&quot;read_n_2D_0.5mV.pro&quot; and &quot;read_n_2D_2mV.pro&quot; are IDL files to read the dataset, with detailed description of each data.</p> <p>The original three-dimensional simulation output is too large to publish at the repository. Author (TY) is willing to share the original data.</p>

opencc-by-4.0Jan 2020View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

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

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Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.