Skip to main content
Powered by ShareScore

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.

9

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

9 results for “Hill numbers”

Learn how ShareScore rates datasets ↗
dryad36/100

Species interactions and diversity: a unified framework using Hill numbers

<p>Biodiversity describes the variety of organisms on planet earth. Ecologists have long hoped for a synthesis between analyses of biodiversity and analyses of biotic interactions among species, such as predation, competition, and mutualism. However, it is often unclear how to connect details of these interactions with complex modern analyses of biodiversity. To resolve this gap, we propose a unification of models of biotic interactions and measurements of diversity. We show that analyses of biodiversity obscure details about biotic interactions. For example, identical changes in biodiversity can arise from predation, competition or mutualism. Our approach indicates that traditional models of community assembly miss key facets of diversity change. Instead, we suggest that analyses of diversity change should focus on partitions, which measure mechanisms that directly shape changes in diversity, notably species level selection and immigration, rather than traditional analyses of biotic interactions.</p>

opencc-zeroJan 2023View details →
dryad36/100

Supporting Information: Measuring Functional Redundancy Using Generalized Hill Numbers

<p>A number of metrics for quantifying the amount of functional redundancy in a community have been proposed over the years. Two of the most popular metrics are based on comparing a taxonomic diversity measure with a generalized form of the same measure that accounts for functional dissimilarities between taxa. These two metrics express redundancy as either an absolute or relative difference between the taxonomic diversity measure and its generalized form. Because they express the amount of redundancy in a community in terms of raw diversity values, both redundancy metrics are susceptible to the same issues that complicate the interpretation of most commonly used diversity indices.</p> <p>It is possible to overcome these issues by restating these two indices using a Hill numbers framework. As a growing number of authors have noted, these modified metrics provide a more intuitive quantitative definition of functional redundancy when used to rank communities. Beyond this intuitive definition, measuring redundancy in terms of Hill numbers allows researchers to control the influence of rare taxa on the output value, enabling ecologists to better predict how a community is expected to respond when exposed to an external perturbation that selectively eliminates rare or common taxa.</p> <p>Here I show that, of the two possible Hill number-based redundancy metrics, the form based on a popular absolute redundancy metric is extremely sensitive to differences in taxonomic diversity and can provide a misleading picture of how much redundancy is present in a community. For this reason, I argue that Hill number-based functional redundancy should be quantified using a relative metric that explicitly accounts for differences in effective taxonomic diversity. The proposed Hill number-based relative redundancy measure is shown to provide a much more complete picture of the distribution of redundant taxa within a community, highlighting subtle patterns that are completely missed by the Hill number-based absolute redundancy metric.</p>

opencc-zeroMar 2023View details →
dryad36/100

Species interactions and diversity: a unified framework using Hill numbers

Open the record for dataset details and reuse information.

publicJan 2023View details →
dryad36/100

Supporting Information: Measuring Functional Redundancy Using Generalized Hill Numbers

Open the record for dataset details and reuse information.

publicMar 2023View details →
zenodo32/100

Few juveniles or males were collected. Only four males from groups 7, 8, 9, and 11, all in clade D, were included in the dataset. The male in Fig. 13E–H conforms to the general morphological description of males in Lobocriconema with an undifferentiated labial region, the absence of a stylet, a degenerate pharyngeal region, a FIGURE 7. SEM images of specimens representing clades D (A–H) and B (I). NID numbers are associated with unique specimens, all are females except image C. A) Lobocriconema sp., face view with conspicuous labial disc surrounded by irregular labial structure, Nine-Mile Prairie, Nebraska, NID 4533. B) Lobocriconema sp., face view lacking submedian lobes and displaying subcuticular labial structure, Big Thicket National Preserve, Texas, NID 4560. C) Lobocriconema sp., juvenile, head with visible submedian lobes, body scales with fine terminal projections, Spring Creek Prairie, Nebraska, NID 4514. D) Lobocriconema sp., face view lacking submedian lobes and displaying subcuticular labial structure, Nine-Mile Prairie, Nebraska, NID 4527 E) Lobocriconema sp., cephalic profile with protruding stylet, Nine-Mile Prairie, Nebraska, NID 4529. F) Lobocriconema sp., head profile lacking submedian lobes, Tunica Hills, Louisiana, NID 4574. G) Lobocriconema sp., tail with closed vulva, Nine-Mile Prairie, Nebraska, NID 4533. H) Lobocriconema sp., tail with closed vulva, Nine-Mile Prairie, Nebraska, NID 4526. I) Lobocriconema sp., face view lacking submedian lobes, Great Smoky Mountains National Park, Purchase Knob, NID 4570. in Species discovery and diversity in Lobocriconema (Criconematidae: Nematoda) and related plant-parasitic nematodes from North American ecoregions

Few juveniles or males were collected. Only four males from groups 7, 8, 9, and 11, all in clade D, were included in the dataset. The male in Fig. 13E–H conforms to the general morphological description of males in Lobocriconema with an undifferentiated labial region, the absence of a stylet, a degenerate pharyngeal region, a FIGURE 7. SEM images of specimens representing clades D (A–H) and B (I). NID numbers are associated with unique specimens, all are females except image C. A) Lobocriconema sp., face view with conspicuous labial disc surrounded by irregular labial structure, Nine-Mile Prairie, Nebraska, NID 4533. B) Lobocriconema sp., face view lacking submedian lobes and displaying subcuticular labial structure, Big Thicket National Preserve, Texas, NID 4560. C) Lobocriconema sp., juvenile, head with visible submedian lobes, body scales with fine terminal projections, Spring Creek Prairie, Nebraska, NID 4514. D) Lobocriconema sp., face view lacking submedian lobes and displaying subcuticular labial structure, Nine-Mile Prairie, Nebraska, NID 4527 E) Lobocriconema sp., cephalic profile with protruding stylet, Nine-Mile Prairie, Nebraska, NID 4529. F) Lobocriconema sp., head profile lacking submedian lobes, Tunica Hills, Louisiana, NID 4574. G) Lobocriconema sp., tail with closed vulva, Nine-Mile Prairie, Nebraska, NID 4533. H) Lobocriconema sp., tail with closed vulva, Nine-Mile Prairie, Nebraska, NID 4526. I) Lobocriconema sp., face view lacking submedian lobes, Great Smoky Mountains National Park, Purchase Knob, NID 4570.

opennotspecifiedMar 2016View details →
dryad32/100

A framework for the quantification of soundscape diversity using Hill numbers

<p>This is the data underlying the case study and supplementary material described in Luypaert et al. (2021): A framework for the quantification of soundscape diversity using Hill numbers. </p>

opencc-zeroOct 2021View details →
dryad32/100

A framework for the quantification of soundscape diversity using Hill numbers

Open the record for dataset details and reuse information.

publicMay 2022View details →
dryad28/100

Data from: Rarefaction and extrapolation with Hill numbers: a framework for sampling and estimation in species diversity studies

Open the record for dataset details and reuse information.

publicOct 2014View details →
dryad28/100

Data from: Phylogenetic beta diversity, similarity, and differentiation measures based on Hill numbers

Open the record for dataset details and reuse information.

publicOct 2013View 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