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.

1,965

datasets available to search

ShareScore release 0.7.1

Reset

Dataset results

1,965 results for “length”

Learn how ShareScore rates datasets ↗
edi52/100

Oyster fauna lengths, counts, and biomass from restored and reference reefs in Virginia coastal bays, 2005-2023

Oyster reef fauna counts and lengths were sampled at natural "reference" reefs and restored shell plant reefs located in the Virginia Coast Reserve. Overfishing and disease decimated oyster reefs in the Virginia Coast Reserve in the 1900s. Reference reefs were defined as remnant reefs that naturally recovered in the early 2000s to develop the pronounced vertical structure and multiple oyster size classes that represent the desired endpoint of restoration efforts. Nearly every year since 2003, The Nature Conservancy and Virginia Marine Resource Commission have constructed oyster reefs in intertidal areas in the VCR. To construct the restored reefs, practitioners launched dredged, fossilized oyster shell from barges to intertidal locations chosen for their bottom stability and accessibility (locations lacked oysters prior to construction). Whelk shell supplemented the oyster shell at some of the restored reefs. TNC practitioners monitor select restored and reference reefs annually for adult and spat live oysters, adult and spat box oysters, mud crabs, mud snails, oyster drills, live clams, and mussels.

openCustomJan 2024View details →
zenodo48/100

Two decades of body length measurements in size-structured larval and juvenile fish populations in English rivers.

<p>Long term ecological datasets are valuable in providing context and understanding to complex ecological processes that occur over broad temporal scales, and provide a baseline for analysing change. Monitoring of fish populations in UK waterbodies and elsewhere is typically through measuring the length of individual fish caught in surveys. Through this method, the age structure of fish populations can be determined, as well as over winer survival rates and future recruitment success and cohort sizes can be predicted. The larval and juvenile period are when fish are considered most vulnerable to predation, competition, disease and environmental perturbations.&nbsp;</p> <p><br>This study presents the first long-term larval and juvenile fish lengths dataset for 67 survey sites over two decades (1999-2018) from the rivers Ancholme, Warwickshire Avon, Don, Trent, and Yorkshire Ouse&nbsp;(including the Swale, Ure, Nidd and Wharfe) in the United Kingdom. These rivers represent a range of topographical and biotopical characteristics. For the majority of this study, surveys were conducted on a monthly or fortnightly basis making both annual and seasonal analyses of size structure, growth and body length possible. Although there is some variation in the sampling frequency and some locations varied throughout the study according to requirements. In total, more than 380,000 larval or juvenile fish of 30 species were measured, likely representing one of the most comprehensive datasets of its type.</p> <p>Surveys were conducted in river margins, where the velocity was slowest and larval and juvenile fish tend to aggregate. Fish were captured using a 25 x 3 m micromesh (3 mm mesh size) seine net that was set in a rectangle parallel to the bank. This net capture fish as small as 5 mm and is the most appropriate method of catching larvae and juvenile fish,&nbsp;although occasionally some larger adult fish may have also been captured and measured as part of this dataset for completeness. All fish were identified to species and measured to standard length (mm) and released at the point of capture. The exception was the smallest larvae, which were euthanised with an overdose of methanesulphonate (MS-222) and preserved in 4% formalin solution for microscopic examination.</p> <p><br>The dataset contains 384,090 rows and 13 columns. Each row corresponds to a single fish that was measured at each site and date. Associated site information (site name, location, area fished (m<sup>2</sup>) and survey date) is reported for each row. When only a fraction of the catch was processed, the sub-sample size was reflected in the Count column (e.g. when half the sample was processed, the numbers of fish measured or only counted were multiplied by two). This enables accurate densities to be calculated as the total number of both measured and unmeasured fish is recorded.</p> <p>Description of columns found in the dataset:</p> <p>&nbsp;</p> <table> <tbody> <tr> <td> <p><strong>Column heading</strong></p> </td> <td> <p><strong>Column description</strong></p> </td> <td> <p><strong>Data type</strong></p> </td> <td> <p><strong>Units</strong></p> </td> </tr> <tr> <td> <p>Fish _Catchment</p> </td> <td> <p>The river catchment/basin location of each fish site</p> </td> <td> <p>Text</p> </td> <td> <p>n/a</p> </td> </tr> <tr> <td> <p>Fish_River</p> </td> <td> <p>The river/watercourse location of each fish site.</p> </td> <td> <p>Text</p> </td> <td> <p>n/a</p> </td> </tr> <tr> <td> <p>Fish_SiteName</p> </td> <td> <p>The name of each fish site</p> </td> <td> <p>Text</p> </td> <td> <p>n/a</p> </td> </tr> <tr> <td> <p>Fish_Latitude</p> </td> <td> <p>The latitude of each fish site (WGS 1984)</p> </td> <td> <p>Integer</p> </td> <td> <p>Decimal degrees</p> </td> </tr> <tr> <td> <p>Fish_Longitude</p> </td> <td> <p>The longitude of each fish site (WGS 1984)</p> </td> <td> <p>Integer</p> </td> <td> <p>Decimal degrees</p> </td> </tr> <tr> <td> <p>Fish_Area</p> </td> <td> <p>Area of fish site surveyed</p> </td> <td> <p>Integer</p> </td> <td> <p>m<sup>-2</sup></p> </td> </tr> <tr> <td> <p>Fish_SurveyDate</p> </td> <td> <p>Date fish survey was carried out</p> </td> <td> <p>Integer</p> </td> <td> <p>dd/mm/yyyy</p> </td> </tr> <tr> <td> <p>Fish_Year</p> </td> <td> <p>Year fish survey was carried out</p> </td> <td> <p>Integer</p> </td> <td> <p>yyyy</p> </td> </tr> <tr> <td> <p>Common_Name</p> </td> <td> <p>The common/vernacular name of each fish taxon recorded in the dataset.</p> </td> <td> <p>Text</p> </td> <td> <p>n/a</p> </td> </tr> <tr> <td> <p>Latin_Name</p> </td> <td> <p>The scientific name of each fish taxon recorded in the dataset</p> </td> <td> <p>Text</p> </td> <td> <p>n/a</p> </td> </tr> <tr> <td> <p>Net_Number</p> </td> <td> <p>The net number the fish in a given survey were caught on</p> </td> <td> <p>Integer</p> </td> <td> <p>n/a</p> </td> </tr> <tr> <td> <p>Length_mm</p> </td> <td> <p>Length of individual fish caught</p> </td> <td> <p>Integer</p> </td> <td> <p>mm</p> </td> </tr> <tr> <td> <p>Count</p> </td> <td> <p>Count of fish caught accounting for sub- sampling</p> </td> <td> <p>Integer</p> </td> <td> <p>Number of fish</p> </td> </tr> </tbody> </table> <p>&nbsp;</p>

opencc-by-4.0Aug 2024View details →
zenodo48/100

Single-molecule DNA methylation patterns of full-length human-specific LINE-1 (L1HS) retrotransposons in a panel of cell lines.

<p>We used bs-ATLAS-seq to comprehensively map the genomic location and assess the DNA methylation status of&nbsp;full-length human-specific LINE-1 elements (L1HS). The approach capture region 1-210 of L1HS elements, which corresponds to the most 5&#39; end of its promoter sequence. This was performed in a panel of 12 human primary or transformed cell lines (BJ, IMR90, MRC5, H1, K562, HCT116, HeLa S3, HepG2, MCF7, HEK-293, HEK-293T, 2102Ep), many being shared with the encode project.</p> <p>These datasets provide a visualization for DNA methylation patterns at the single molecule level for each L1HS loci.</p>

opencc-by-4.0Sep 2022View details →
edi48/100

Food-chain length in desert streams of central and southern Arizona, USA

## overview Food chain length (FCL) is a key measure of the vertical structure of food webs that determines energy flow through ecosystems, carbon exchange between freshwater ecosystems and the atmosphere, and rates of nutrient cycling. FCL also has a strong bearing on the biomass of green plants in ecosystems and hence on water quality in aquatic ecosystems. Broad-scale syntheses of controls on FCL in stream ecosystems indicate that FCL declines with discharge variation but, counter to theory, does not vary significantly with energy supply. The mechanisms linking discharge and energy to FCL are largely unresolved in streams. We propose that lack of a relationship between energy supply and FCL may be due to variation in efficiency of energy transfer caused by constraints of food quality, or to a temporal mismatch between measures of energy inputs and FCL. Alternatively, the effects of flow variation on FCL may simply be paramount to energy supply, but potential mechanisms linking flow to FCL remain untested. Regime shifts—punctuated change between strings of high- and low-flow events—may cause comprehensive faunal replacement across trophic levels and collapse of the vertical structure of food webs. FCL may change as a result of loss (or gain) of an apex predator, or as a result of changes in feeding relationships leading to apex predators that eat higher on the food chain. Finally, flow variation may indirectly influence FCL through inputs of limiting nutrients during floods. In desert streams, algae typically provide the primary source of energy, and algal production is limited by nitrogen (N). N loading from terrestrial ecosystems is strongly related to flow variation, particularly to the inter-flood interval (IFI) or duration of baseflow between floods. Long IFI leads to larger N pulses and potentially greater net ecosystem production (NEP), thereby providing an indirect effect of flow variation on FCL. Specific aims of the research include: 1) Quantify the effe

openCC0Jun 2022View details →
edi48/100

Eriophorum vaginatum leaf length 2015-2017 from 2014 common gardens established at Toolik Lake, Coldfoot, and Sagwon - Alaska

Data on Eriophorum vaginatum leaf length collected from common gardens established at Toolik Lake, Coldfoot, and Sagwon in 2014 with tussocks from Coldfoot, Toolik Lake, and Sagwon. Data collected during the growing seasons of 2015, 2016, and 2017

openCC (other)Jan 2020View details →
edi48/100

White spruce trees tagged measured for total height and girth at 10 centimeter height, and leader length, Coldfoot, Alaska 2015, 2016

White spruce seedlings have colonized the site of the Coldfoot transplant garden (CF, 67°15′32″N, 150°10′12″W) since the original garden was established in 1982. Some trees are 2-3 meter tall. All seedlings and trees within the current (2014) garden were tagged, located with a Global Positioning System (GPS) receiver, and measured in 2015 and 2016 for total height and girth at 10 centimeter height and leader length.

openCC (other)Jan 2020View details →
edi48/100

Eriophorum tiller length in simulated herbivory experiment in moist acidic tundra experimental plots, Arctic LTER, Toolik Field Station, North Slope Alaska, from 2018 to 2021.

Tiller length of Eriophorum vaginatum subjected to fertilization and simulated herbivory from 2018 until 2021. Plants were part of a fertilization experiment begun in 2006 and included four levels of nutrient addition. For the simulated herbivory experiment, plants were not clipped, clipped once in 2018, or clipped every year of the experiment.

openCC (other)May 2024View details →
edi48/100

Multiple Element Limitation in Northern Hardwood Ecosystems (MELNHE) - Raw images for the analysis of stomatal density and length 2021-2022

Stomatal density and length were measured on leaves of sugar maple (Acer sacharrum Marsh.) and yellow birch (Betula alleghaniensis Britton.) trees in New Hampshire at the Bartlett Experimental Forest, Hubbard Brook Experimental Forest, and Jeffers Brook as part of the Multiple Elementation Limitation in Northern Hardwood Ecosystems (MELNHE) study. Leaves were collected in late July and early August in 2021 and 2022 from the tops of dominant and codominant trees using a shotgun. These measurements were made on 3 leaves from each tree. These data correspond with other foliar trait data collected from the same trees in 2021 and 2022. That EDI package is as follows: Hong, S.D., K.E. Gonzales, C.R. See, and R.D. Yanai. 2021. MELNHE: Foliar Chemistry 2008-2016 in Bartlett, Hubbard Brook, and Jeffers Brook (12 stands) ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/b23deb8e1ccf1c1413382bf911c6be19 This data package contains the raw images underlying the data reported in a separate data package on stomatal density and length: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-hbr&identifier=372 These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

openCC (other)Jan 2025View details →
edi48/100

Lake Wingra: Fish Lengths and Weights 1995 - current

Data are collected annually to enable us to track the fish assemblages of Lake Wingra. Sampling is done at six littoral zone sites per lake with a beach seine, minnow or crayfish traps, and fyke nets, while a boat-mounted electrofishing system samples four littoral transects. Vertically hung gill nets are used to obtain two pelagic samples per lake from the deepest point. A trammel net samples across the thermocline at two nearshore sites per lake. Fish are identified to species. Lengths are measured for all fish caught, while weight and scale are collected from a subset. Derived data includes catch per unit effort and size distribution by species, lake, and year. Sampling Frequency: annually. Number of sites: 1. Note that 2020 data does not exist due to insufficient sampling.

openCC (other)Dec 2024View details →
edi48/100

North Temperate Lakes LTER: Fish Lengths and Weights 1981 - current

Data are collected annually to enable us to track the fish assemblages of eleven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout, bog lakes 27-02 [Crystal Bog] and 12-15 [Trout Bog], Mendota, Monona, Wingra and Fish). Sampling on Lakes Monona, Wingra, and Fish started in 1995; sampling on other lakes started in 1981. Sampling is done at six littoral zone sites per lake with seine, minnow or crayfish traps, and fyke nets; a boat-mounted electrofishing system samples four littoral transects. Vertically hung gill nets are used to obtain two pelagic samples per lake from the deepest point. A trammel net samples across the thermocline at two sites per lake. In the bog lakes only fyke nets and minnow traps are deployed. Parameters measured include species-level identification and lengths for all fish caught, and weight and scale samples from a subset. Dominant species vary from lake to lake. Perch, rockbass, and bluegill are common, with walleye, large and smallmouth bass, northern pike and muskellunge as major piscivores. Cisco have been present in the pelagic waters of four lakes, and an exotic species, rainbow smelt, is present in two. The bog lakes contain mudminnows. Beach seining was discontinued after the 2019 season. The only sampling done in 2020 were a single gill-netting replicate in Sparkling, Crystal, and Trout lakes. Sampling in Fish Lake was missed in 2021 due to significant lake level changes. Data from the two bogs is missing in 2022. Sampling Frequency: annually Number of sites: 11.

openCC (other)Dec 2024View details →
edi48/100

North Temperate Lakes LTER: Fish Length Frequency 1981 - current

This data set is a derived data set based on fish catch and length data. Data are collected annually to enable us to track the fish assemblages of eleven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout, bog lakes 27-02 [Crystal Bog] and 12-15 [Trout Bog], Mendota, Monona, Wingra and Fish). Sampling on Lakes Monona, Wingra, and Fish started in 1995; sampling on other lakes started in 1981. Sampling is done at six littoral zone sites per lake with seine, minnow or crayfish traps, and fyke nets; a boat-mounted electrofishing system samples three littoral transects. Vertically hung gill nets are used to obtain two pelagic samples per lake from the deepest point. A trammel net samples across the thermocline at two sites per lake. In the bog lakes only fyke nets and minnow traps are deployed. Parameters measured include species-level identification and lengths for all fish caught, and scale samples and weight from a subset. Derived data sets include species richness, catch per unit effort, and size distribution by species, lake, and year. Dominant species vary from lake to lake. Perch, rockbass, and bluegill are common, with walleye, large and small mouth basses, northern pike and muskellunge as major piscivores. Cisco have been present in the pelagic waters of four lakes, and the exotic species, rainbow smelt, is present in two. The bog lakes contain mudminnows. Protocol used to generate data: The number of fish caught in each five mm length interval (0<length<5, 5<=length<10, etc.) have been summed over gear. In cases in which only a random subsample of fish were measured, the unmeasured fish have been assigned to the length categories based on the proportions in length categories for the measured fish of the subsample. Day seines were only used in 1981 and have been eliminated from this data set to make sampling effort across years comparable. Beach seining was discontinued after 2019. The only sampling done in 2020 were a single gill-netting repli

openCC (other)Dec 2024View details →
edi48/100

Nassarius obsoletus (Ilyanassa obsoleta) length and biomass measurements for Rowley River tidal creeks associated with long term fertilization experiments, Rowley and Ipswich, MA.

Nassarius obsoletus (Ilyanassa obsoleta) length and biomass measurements for Rowley River tidal creeks associated with long term fertilization experiments, Rowley and Ipswich, MA. The TIDE project aims to simulate eutrophication on a large scale by the addition of NO3- aiming to reach 70μM concentrations from May to September every year during the growing season. This fertilization of the marsh has been going on at Sweeney Creek since the 2004 growing season through 2014 and at Clubhead Creek in 2005 and from 2009 till 2014.

openCC (other)Oct 2021View details →
edi48/100

Length, width, perimeter, and sediment thickness of ice-rafted sediment deposits, Rowley, MA.

Following a historic bomb cyclone (Winter Storm Grayson) in January of 2018, a large volume of ice-rafted sediment was patchily deposited on the surface of salt marshes in the Great Marsh, MA. In May of 2018, twenty patches of ice-rafted sediments and paired reference sites (i.e., no sediment deposition) were delineated. In May 2018, August 2018, and August 2019, samples were collected to examine how ice-rafted sediments affected vegetation, infauna, and epifauna recovery over time. This specific dataset focuses on the length, width, perimeter, and sediment thickness measurements of each ice-rafted sediment deposit. This dataset is complete and please see our publication (https://doi.org/10.1007/s12237-021-01023-z) for more information.

openCC (other)Jan 2023View details →
zenodo44/100

Supplementary Data to "Disparate regulation of Smad3 phosphorylation and collagen gene transcription by full-length IL-33"

<p>These are Supplementary Figures for the article &quot;Disparate regulation of Smad3 phosphorylation and collagen transcription by full-length IL-33&quot;</p>

opencc-by-4.0Feb 2020View details →
zenodo44/100

DNA Crookedness Regulates DNA Mechanical Properties at Short Length Scales

<p>Data presented in the annual conference DPG conference 2019 (<a href="https://regensburg19.dpg-tagungen.de/">https://regensburg19.dpg-tagungen.de/</a>).&nbsp;</p> <p>Here we discuss how DNA sequence allow us to modulate its structure and mechanical properties, thus proving for the first time a one to one map between sequence and mechanical code. This is intended to provide an overview of the results published in the following&nbsp;peer-reviewed freely available papers:<br> Phys. Rev. Lett. 122, 048102 (2019) [DOI: 10.1103/PhysRevLett.122.048102&nbsp; &nbsp; &nbsp; or https://doi.org/10.1101/283648]<br> Nanoscale&nbsp;&nbsp;&nbsp; &nbsp;Nanoscale 11, 21471 (2019)&nbsp; [DOI: 10.1039/C9NR07516J]<br> PNAS 114, 7049 (2017) [DOI: 10.1073/pnas.1705642114]<br> Nucleic Acids Research, gkaa225 [DOI: 10.1093/nar/gkaa225]<br> (Please cite them, if you found this information useful.)</p>

opencc-by-4.0Apr 2020View details →
zenodo44/100

Ionospheric Vertical Correlation Lengths Derived From IRI-2016 Model Errors

<p>Ionospheric vertical correlation lengths based on IRI-2016 model and Incoherent Scatter Radar (ISR) data.</p> <p><strong>Important! The analysis was performed in log space.&nbsp;</strong></p> <p>ISR used for this analysis:</p> <p>Jicamarca, Arecibo, Millstone Hill, Poker Flat ISR, and ResoluteBay North ISR.</p> <p>This metadata can be used for the construction of the covariance matrix for ionospheric data assimilation.</p> <p>Inside of the .nc file:</p> <p>lat=array of geomagnetic latitudes (degrees)<br> alt=arrays of altitudes (km)<br> vert_corr1=array of size (nalt, nlat), contains vertical correlation length above the reference point for different latitudes<br> vert_corr2=array of size (nalt, nlat), contains vertical correlation length below the reference point for different latitudes<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</p>

opencc-byJun 2020View details →
zenodo44/100

Data set with length measurments of Machu Picchu

<p>The base of a niche was considered to be a construction level where in the past the architectural module could be applied. To check this possibility the width and the distances between niches were measured in the 3D point cloud for further cosine quantogram analysis. Thus, 11 data sets were created, each corresponding to a particular sector or distinguish part of it, from the area so-called <em>zona urbana</em> in Machu Picchu site. The size of each sample depends on the amount and size of buildings in a sector, so samples vary from 44 to 244 measurements, measured in centimetre [cm].</p>

opencc-by-4.0Jan 2021View details →
zenodo44/100

Genetic Relationships Between Terminal Shoot Length, Number of Flushes and Height in a Four-Year-old Progeny Test of Pinus brutia Ten.

<p><strong>Description of the data</strong></p> <p>A total of 188 plus trees were selected from eight natural seed stands of <em>Pinus brutia</em> in the Aegean region of Turkey. The number of trees selected per seed stand (provenance) varied between 7 to 53 trees. Open-pollinated seeds were collected from plus trees in 1998 and in 1999.&nbsp; In addition, six checklots consisting of bulk seeds from natural seed stands were included in the study to estimate genetic gain and link the progeny tests across different breeding zones in the Aegean region.</p> <p>Open-pollinated progeny tests were established at three locations in the Aegean region of Turkey (Hisaronu, Izmir, and Kinik) in March 2000. One-year-old bare-root seedlings were used in the study. Randomized complete block design with four-tree row plots was used in all sites. For each plus tree (female parent), about 72 half-sib progenies were planted across three test sites. The Hisaronu site had four blocks, while two other sites had seven blocks each. Each parent tree was represented by 16 half-sib progenies at the Hisaronu site and 28 progenies in the other two sites when the trials were planted. The spacing among seedlings was 2 x 3 m at each site. Each block was split into four sets (sets in replications) to accommodate a large number of trees, with checklots included in every set. In total, about 166 half-sib progenies and checklots were planted in each block.</p> <p>At the end of the first growing year after planting, survival was assessed. It was about 52% at the Hisaronu site.&nbsp;Dead seedlings at the Hisaronu site were replaced with 1083 two-year-old seedlings of the same families, which were grown in a nursery near Marmaris in the Aegean region. The other two sites had 91% (İzmir) and 94% (Kinik) survival. At age four after planting (2004), tree height (cm), terminal shoot length&nbsp;(cm), and the number of flushes were measured. In total, approximately 12100 trees were assessed across the three locations.&nbsp;</p>

opencc-byJan 2021View details →
zenodo44/100

Genomes and full-length 16S reference sequences for 27 Alpha- and Gamma-Proteobacterial isolates from Red Sea Acropora corals

<p>Coral-associated bacteria contribute to the biology of their host, but the underlying molecular interactions are largely unknown.&nbsp;To further our functional understanding, we obtained 27&nbsp;alpha- and gamma-proteobacterial&nbsp;isolates, many of which are Rhodobacteraceae,&nbsp;from three coral species of the genus&nbsp;<em>Acropora </em>and assembled/annotated their genomes as a resource for further functional studies.&nbsp;Our results reveal the immense taxonomic and genetic diversity of common&nbsp;alpha- and gamma-proteobacterial&nbsp;coral-associated bacteria. We hope these data provide&nbsp;a framework to study the function of specific bacteria in the coral holobiont. Isolates are available upon request.</p>

opencc-by-4.0Jan 2021View details →
zenodo44/100

Sets of period sets for words of length n.

<p>We consider finite words of length n. Each word has a set of periods, but many words can have the same set of periods. For a definition of a period of a word, see [1]. A set of periods is a subset of the set {0, 1, ..., n-1}, but not all subsets of {0, 1, ..., n-1} are period sets. The set denoted Gamma(n) contains all possible period sets corresponding to at least one word of length n. For a definition of Gamma(n), see references [1] or [2]. For more details see reference [4].</p> <p>The series of text files provide the list of period set, one per line, for Gamma(n), for n = 1, 2, ..., 100.<br>Each line contains a list of integers sorted by increasing value: this list constitutes one period set. The &nbsp;separator symbol is a space. Hence, the number of non-empty lines in a file gives the cardinality of Gamma(n).<br>The period set are sorted by their basic period. &nbsp;For a definition of the notion of basic period, see [1] or [2].</p> <p>The files for n=61, ..., 100, where computed with the incremental algorithm described in [5].</p> <p>The sequence of the cardinalities of the set Gamma(n), is also called, the Number of distinct autocorrelations of binary words of length n, and corresponds to the sequence A005434 in the Encyclopedia of Integer Sequences (EOIS) link [3].</p> <p>The files have generic name formatted as follows: gamma.n.bps<br>where n is the word length, for n = 1, 2, ..., 100.</p> <p><strong>References</strong>:</p> <p>1. Eric Rivals, Sven Rahmann.<br>&nbsp; &nbsp;Combinatorics of Periods in Strings.<br>&nbsp; &nbsp;Proc. 28th International Colloquium on Automata, Languages, and Programming, Lecture Notes in Computer Science vol. 2076, p. 615-26., P. Orejas, P. G. Spirakis, J. van Leuween editors, Springer Verlag, Berlin, 2001.<br>&nbsp; &nbsp;doi: <a title="Publication 1" href="https://doi.org/10.1007/3-540-48224-5_51" target="_blank" rel="noopener">https://doi.org/10.1007/3-540-48224-5_51</a><br>2. Eric Rivals, Sven Rahmann.<br>&nbsp; &nbsp;Combinatorics of Periods in Strings.<br>&nbsp; &nbsp;Journal of Combinatorial Theory - Series A, 104(1), p. 95-113, October 2003<br>&nbsp; &nbsp;doi: <a title="Publication 2" href="https://doi.org/10.1016/s0097-3165(03)00123-7" target="_blank" rel="noopener">https://doi.org/10.1016/s0097-3165(03)00123-7</a><br>3. Entry A005434 from The On-Line Encyclopedia of Integer Sequences.<br>&nbsp; &nbsp;URL: <a title="Sequence entry A005434" href="https://oeis.org/A005434" target="_blank" rel="noopener">https://oeis.org/A005434</a><br>4. Autocorrelation of Strings. A comment on entries A005434 and A045690 of the Encyclopedia of Integer Sequences.<br>&nbsp; &nbsp;URL: <a title="Introduction to period sets (webpage)" href="https://www.lirmm.fr/~rivals/RESEARCH/PERIOD/" target="_blank" rel="noopener">https://www.lirmm.fr/~rivals/RESEARCH/PERIOD/</a><br>&nbsp;5. Eric Rivals. Incremental computation of the set of period sets. arXiv:2410.12077,&nbsp; 2024. <a title="Publication 5" href="https://doi.org/10.48550/arXiv.2410.12077" target="_blank" rel="noopener">https://doi.org/10.48550/arXiv.2410.12077</a><br><br></p>

opencc-by-4.0Sep 2024View 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