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.
19,469
datasets available to search
ShareScore release 0.9.0
Dataset results
19,469 results for “p”
Analysis of the P. lividus sea urchin genome highlights contrasting trends of genomic and regulatory evolution in deuterostomes
<p><br> Supplementary datasets accompanying paper: </p> <p>stage_peaks_anc_sel.xlsx : ATAC peaks with classification, conservation and binding sites<br> Pliv.mfuzz.enrichGO.txt : GO enrichment in MFuzz cluster<br> Pliv_genes_master_filt.xlsx : Gene models with corresponding information<br> bindetect_results_anf.txt : results of TOBIAS<br> hits_pprx_cl0_ord3vrr+Et_red.fa : alignment of homeobox sequences<br> Pliv_aH2p.gn.gtf.gz : annotation in GTF format<br> Pliv_PqN3S_sm.fa.gz : genome of P. livius <br> ansr_*_network.tsv.gz : Stage specific networks from ANANSE analysis<br> ATAC_pks_normcov.tsv : Coverage of unified peaks for ATAC-seq<br> Cttg_pks_normcov.tsv : Coverage of unified peaks for Cut-and-tag H3K27Ac data<br> lncRNA_stgSpe_fpkm.tsv : Expression levels (FPKM) for predicted lncRNAs for available RNA-seq samples <br> Split_Urchin_FPKMs.clean.txt.gz : Expression levels for unified ATAc-seq peaks following direct and reverse orientation</p> <p> </p> <p> </p> <p> </p> <p> </p>
Polar Iridium Surface Velocity Profilers (p-iSVP), and standard Iridium Surface Velocity Profilers (iSVP) during SCALE 2019 Winter and Spring Cruises
<p><strong>Brief data description</strong></p> <p>In 2019, winter and spring scientific research expeditions aboard the SA Agulhas II were conducted along the Good-Hope line (0<sup>o</sup> E) to the Antarctic marginal ice zone (MIZ) in the north-eastern Weddell Sea region as part of the <em>Southern oCean seAsonal Experiment</em> (SCALE; Ryan-Keogh and Vichi, 2022).</p> <p>During the winter expedition, three polar Iridium Surface Velocity Profilers (p-iSVPs; MetOcean model) were deployed by the South African Weather Service (SAWS) between 27 July and 28 July 2019. These buoys were analysed in de Vos et al. (2022). The region of deployment consisted of pancake-ice conditions with an average ice thickness of 40-60 cm. The instruments were deployed by hand by three people, lowered by crane from the ship to the ice on a basket cradle. The first buoy (p-iSVP 1) was deployed in water, in between pancake ice floes, while the other two buoys (p-iSVP 2 and p-iSVP 3) were deployed on roughly circular ice floes > 3 m in diameter.</p> <p>These buoys were expendable devices that recorded GPS position, air and ice temperature, and barometric pressure. The temporal resolution is 30 minutes for p-iSVP 1 and hourly for p-iSVP 2 and p-iSVP 3. The survival of these sensors depended on their battery life, since p-iSVPs can continue to drift in the ocean after ice melting and can be further refrozen in between floes. p-iSVP 1 and p-iSVP 3 continued to transmit data until 15 October 2019. p-iSVP 2 stopped transmitting data on 25 August 2019.</p> <p>During the spring expedition, three standard Iridium Surface Velocity Profilers (iSVPs 4-6; Pacific Gyre model) were deployed by SAWS between 24 October and 28 October 2019 (de Vos et al., 2022). Specifically-designed frames were built around these three iSVPs to allow them to stand securely on the ice, without damaging the non-polar battery, and also to make sure they operated as Lagrangian ice trackers. These buoys were deployed during first-year ice conditions, with an average ice thickness of 80-90 cm. The instruments were deployed with the same protocol as the winter buoys.</p> <p>These buoys recorded GPS position, air temperature and barometric pressure, every hour. Their survival, like the winter p-iSVPs, also depended on their battery life, and therefore it was possible for them to continue to drift after ice melting. The iSVPs transmitted data until 19 December 2019.</p> <p><strong>Buoy names and raw data:</strong></p> <p>p-iSVP 1: 300234067003010-300234067003010-20191015T064320UTC.csv</p> <p>p-iSVP 2: 300234067002060-300234067002060-20191015T064316UTC.csv</p> <p>p-iSVP 3: 300234066992870-300234066992870-20191015T064314UTC.csv</p> <p>iSVP 4: 300234066433050.xlsx</p> <p>iSVP 5: 300234066433051.xlsx</p> <p>iSVP 6: 300234066433052.xlsx</p> <p><strong>Related code: </strong>The buoy data has been processed using https://github.com/mvichi/antarctic-buoys/. </p>
Dataset for "Combination of ryegrass (Lolium perenne L.) and tall fescue (Festuca aurundinacea Schreb.) improve yields in a low P soil."
<p>Dataset for the study "Combination of ryegrass (Lolium perenne L.) and tall fescue (Festuca aurundinacea Schreb.) improve yields in a low P soil."</p>
Seaweed C:N:P Global Dataset
<p>Seaweed C:N:P ratios found in the peer-reviewed literature and previously unpublished data, current to 2022. </p> <p>This is the accompanying dataset for “SEAWEED BIOGEOCHEMISTRY: GLOBAL ASSESSMENT OF C:N AND C:P RATIOS AND IMPLICATIONS FOR OCEAN AFFORESTATION” (Sheppard et al., in press). Methods for collection of the dataset are found therein. </p> <p>For queries, please contact dataset creator and caretaker, Emily Sheppard. emily.sheppard@utas.edu.au </p>
Reevaluated P-V-T Dataset for (Mg,Fe)SiO3 post-Perovskite
<p>This is a collection of pressure, volume, and temperature data for (Mg,Fe)SiO<sub>3</sub> post-perovskite collected in laser-heated diamond anvil cells. The volumes and temperatures are collected from previous studies, and the pressures are reevaluated according to the internally consistent pressure scale of Dorogokupets and Dewaele (2007). A Monte Carlo sampling routine was used to propagate uncertainty from the measured volumes and temperatures, as well as uncertainties in the pressure scale parameters, to the final pressure uncertainties.</p>
Scrambler Phone Telta P-171D-ATS_surface meshes (Inv. 2017-407)
<p>Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.</p>
Initial Conditions for ATOM-COBALT dynamic N:P model simulations in GBC paper
<p>Adjustment of standard initial conditions file for COBALT simulations to add dynamic phytoplankton P fields. </p>
Sediment, C, N, and P Concentrations and Burial Rates in Three Southwestern Ohio Retention Ponds: 2006-2019
These datasets correspond to Rogers et al (2022) “Temporal patterns in sediment, carbon, and nutrient burial in ponds associated with changing agricultural tillage” published in Biogeochemistry (DOI: 10.1007/s10533-022-00916-w). We sampled three retention ponds in southwest Ohio in 2019 to compare sediment, carbon, nitrogen, and phosphorous burial rates to those calculated in 2006 to see the effect a watershed-wide shift to conservation tillage and to estimate the value of the ecosystem services these ponds provide via sequestration. Two methods were used to calculate burial rates: simple mean and spatially explicit. All datasets use simple mean except for the data set named “Spatially Explicit Sediment C N P Burial in SW OH Retention Ponds 2019”, which uses the spatially explicit method. For more information, please refer to our paper.
Identifying hotspots of soil legacy phosphorus for soil P remediation on a cattle ranch in the Headwaters of the Everglades, South Central Florida, USA, 2020.
Phosphorus (P) cycling has been altered by human activities across various scales. 'Soil legacy P,' driven by agricultural changes such as excessive P fertilization and manure input, has led to P accumulation in soils. These legacy P reserves are long-term non-point sources, causing downstream eutrophication. Despite considerable scientific and policy interest, the fine-scale spatial heterogeneity, underlying drivers, and scales of variance of legacy P remain poorly understood. This dataset comprises of 1,438 surface soils sampled in 2020 across two typical subtropical grasslands managed for livestock production in South Central Florida, USA. The types of grasslands sampled were Intensively-managed or Improved pastures (IM), and Semi-native (SN) pastures. Chemical analysis was performed on the soil samples to determine three soil legacy P measurements (total P, Mehlich-1 and Mehlich-3 extractable P representing labile P pools) across the landscape. Other variables analyzed includedsoil organic matter, pH, available Fe and Al. Additionally, aboveground biomass samples were collected at a subset of soil sites, and analyzed for P content. The key questions regarding soil legacy P related to: its spatial variability and hotspots, variance distribution, relationship to land management and soil characteristics, and correlation with aboveground plant tissue P concentration. Subsequent analysis and spatial autoregressive modeling from this dataset revealed extreme variability of soil P at small scales, with diminishing variance as spatial scale increased, and increased variance in IM vs SN pastures. These findings enhance our understanding of the underlying drivers, spatial patterns, and variances of soil legacy P. Research suggests that broad pasture- or farm-level best management practices may be limited and less efficient, particularly for high-intensity pastures. Instead, management strategies to reduce soil legacy P could be implemented at fine scales, targeting P hots
Soil C, N, P, and Frankia nifD-K RFLP genotypes distribution from Alnus tenuifolia nodules in early and late succession 2005
This dataset contains genetic characterizations of Frankia inhabiting Alnus tenuifolia nodules in early and late succession sites in the Bonanza Creek Experimental Forest (BCEF). Characterizations were done using PCR-RFLP on the nifD-K spacer region of the Frankia genome. The position of each plant and each nodule were mapped in order to examine spatial patterns in Frankia distribution within sites. Soil chemistry data, including C, N, P, and pH, were also collected from mineral and organic layers.
N and P fertilization experiment net primary productivity data for South of saddle, 1991 - 1997.
A nutrient amendment experiment was initiated in 1990 in 2 alpine plant communities, dry and wet meadow, to determine whether N and/or P limit primary production of these communities, the plants' functional response to increased nutrients, and the community structure and composition responses to changes in nutrient availability.
Raw data used in Kumar et al. 2020: Barley shoot biomass responds strongly to N:P stoichiometry and intraspecific competition, whereas roots only alter their foraging
<p>Raw data used in Kumar et al. 2020: Barley shoot biomass responds strongly to N:P stoichiometry and intraspecific competition, whereas roots only alter their foraging</p>
IG. 6. — A, Trunk vertebra of Alsophis sp. 2 from Pointe du Helleux archaeological site (Square 2 – crab layer) located on Grande-Terre Island; B, trunk vertebra of Erythrolamprus juliae cf. copeae (Parker, 1936) from Sainte-Rose La Ramée archaeological site (US 2058) located on Basse-Terre Island. Abbreviations: cd., condyle; ct., cotyle; di., diapophysis; h. k., hemal keel; m. c., medial constriction; n. a., neural arch; n. s., neural spine; p. c., precondylar constriction; p. d., paracotylar depression; p. n., postero-medial notch of the zygantrum; pa., parapophysis; pz. f., prezygapophyseal facet; pz. p., prezygapophyseal process; s. d., subcentral depression; s. r., subcentral ridge; s. t., sub-cotylar tubercle; zs., zygosphene. Scale bars: 4 mm in Fossil dipsadid snakes from the Guadeloupe Islands (French West-Indies) and their interactions with past human populations
IG. 6. — A, Trunk vertebra of Alsophis sp. 2 from Pointe du Helleux archaeological site (Square 2 – crab layer) located on Grande-Terre Island; B, trunk vertebra of Erythrolamprus juliae cf. copeae (Parker, 1936) from Sainte-Rose La Ramée archaeological site (US 2058) located on Basse-Terre Island. Abbreviations: cd., condyle; ct., cotyle; di., diapophysis; h. k., hemal keel; m. c., medial constriction; n. a., neural arch; n. s., neural spine; p. c., precondylar constriction; p. d., paracotylar depression; p. n., postero-medial notch of the zygantrum; pa., parapophysis; pz. f., prezygapophyseal facet; pz. p., prezygapophyseal process; s. d., subcentral depression; s. r., subcentral ridge; s. t., sub-cotylar tubercle; zs., zygosphene. Scale bars: 4 mm
GenBank accession numbers of the four marker genes and associated voucher specimens/tissues that were used in this study. For more details see Guo et al. (2014). Sequences of species in bold are unpublished and were provided by P. Guo as personal communication in Rediscovery of Andrea's keelback, Hebius andreae (Ziegler & Le, 2006): First country record for Laos and phylogenetic placement
GenBank accession numbers of the four marker genes and associated voucher specimens/tissues that were used in this study. For more details see Guo et al. (2014). Sequences of species in bold are unpublished and were provided by P. Guo as personal communication
Earth-scattering likelihoods: Likelihood and p-value tables for reconstructing the local Dark Matter Density
<p>Tables of likelihoods, p-values and best-fits associated with the EarthScatterLikelihood code - <a href="https://github.com/bradkav/EarthScatterLikelihood">https://github.com/bradkav/EarthScatterLikelihood</a> - released alongside the paper "<em>Measuring the local Dark Matter density in the laboratory</em>" (<a href="https://arxiv.org/abs/2004.01621">arXiv:2004.01621</a>).</p> <p>Examples for how to load the files are given in 'EarthScatterLikelihood/plotting'. Simply extract the folders into 'EarthScatterLikelihood/results' in https://github.com/bradkav/EarthScatterLikelihood. </p>
IODP Expedition 362 P-wave velocity bayonet (section)
<p>P-wave velocity data were measured on undisturbed section halves using pairs of piezoelectric transducers mounted in bayonets that are inserted into soft sediment along the JRSO-defined y-axis and/or z-axis. Report includes P-wave velocity in y and/or z direction, bayonet separation, traveltime between transducers, and first arrival picks.</p>
IODP Expedition 362 P-wave velocity caliper (section/discrete)
<p>P-wave velocity data were measured on undisturbed section halves (JRSO-defined x-axis) and/or discrete cube and cylinder samples (x, y, or z-axis) using pairs of piezoelectric transducers mounted on a caliper system. Report includes P-wave velocity in x, y, and/or z-direction, caliper separation, traveltime between transucers, and first arrival picks.</p>
Fig. 12. Pyrops whiteheadi and P in Review of the effusus group of the Lanternfly genus Pyrops Spinola, 1839, with one new species and notes on trophobiosis (Hemiptera: Fulgoromorpha: Fulgoridae)
Fig. 12. Pyrops whiteheadi and P. intricatus, in natura, trophobiosis. — A–E. P. whiteheadi. A–B. Tended by cockroaches (Blattodea, Dorylaea, probably D. magna (Schelford, 1909)), Sabah, Danum Valley, 4 Jul. 2013, A. Sorokin. C. Tended by small cockroach (Blattodea, Pseudophyllodromiinae), Sabah, Danum Valley, 15 Dec. 2008, C.C. Lee. D. Sabah, Lower Kinabatangan River, 9 Aug. 2012, N. Messina. E. Tended by an adult gecko, Gehyra mutilata (Wiegmann, 1835) (Squamata: Gekkonidae), Sabah, Sepilok, 6 Jun. 2013, C.C. Lee. — F. P. intricatus tended by cockroach (Blattodea, Dorylaea sp.), Sarawak, Mulu National Park, 15 Oct. 2009, C.C. Lee.
Fig. 12. Parasmittina spp. — A–C. P in Cheilostome Bryozoa from Penang and Langkawi, Malaysia
Fig. 12. Parasmittina spp. — A–C. P. raigioidea Liu et al., 2001. Pulau Betong, Penang, MSL BRY020b. A. Part of colony. B. Autozooids and avicularia. C. Orifice with lyrula and proximally directed adventitious avicularium. — D–F. Parasmittina sp. 1. Kuah jetty, Penang, MSL BRY021b. D. Colony (bottom) becoming overgrown by a colony of P. winstonae (top). E. Ovicellate zooids and proximally directed vicarious avicularia. F. Detail showing a proximally directed vicarious avicularium (upper left of centre) with a proximally directed spatulate adventitious avicularium to its lower right and a distally directed acuminate adventitious avicularium to the lower right of that. — G–I. Parasmittina sp. 2. Kampung Kuala Temoyong, Langkawi, MSL BRY012b; encrusting a large gastropod shell. G. Part of colony. H. Group of zooids. I. Autozooids and an adventitious avicularium. Scale bars: A, H = 500 μm; B, E–F = 200 μm; C, I = 100 μm; D, G = 1 mm.
Fig. 12. Neighbour-joining tree showing p in Two new species of Leptanilloides Mann, 1823 (Formicidae: Dorylinae) from the Andes of southern Ecuador
Fig. 12. Neighbour-joining tree showing p-distances among DNA sequences of the wingless nuclear marker obtained for specimens of Leptanilloides Mann, 1823, Amyrmex Kusnezov, 1953 and Cylindromyrmex Mayr, 1870 (as outgroup), available in GenBank and sequenced here (specimen code 4052311). Labels provide species identifications and field IDs (in bold) or GenBank or BOLD numbers. Values at nodes correspond to the bootstrap values (%) and posterior probabilities obtained in the Neighbourjoining/parsimony/maximum likelihood/Bayesian inference analyses. Bootstrap values <80% and posterior probabilities <0.95 are not indicated.
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.