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.

19,469

datasets available to search

ShareScore release 0.7.1

Reset

Dataset results

19,469 results for “P”

Learn how ShareScore rates datasets ↗
edi56/100

Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation H - increased N and P deposition

The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. To capture the variability among and within TEFs, we simulate a range of post-stabilization conditions by varying the initial size of SOM pools and nutrient supply rates. This file contains the results for 100 years of tussock tundra recovery after a thermal erosion event. This simulation is of TEF recovery with increased N and P deposition compared to the base simulation. Data is presented for day 250 of each year.

openCC (other)Feb 2022View details →
edi56/100

Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation G - increased P deposition

The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. To capture the variability among and within TEFs, we simulate a range of post-stabilization conditions by varying the initial size of SOM pools and nutrient supply rates. This file contains the results for 100 years of tussock tundra recovery after a thermal erosion event. This simulation is of TEF recovery with increased P deposition compared to the base simulation. Data is presented for day 250 of each year.

openCC (other)Feb 2022View details →
edi56/100

Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. A 100 yr old thermal erosion event response to P fertilization.

The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. To capture the variability among and within TEFs, we simulate a range of post-stabilization conditions by varying the initial size of SOM pools and nutrient supply rates. This file contains the results for a 100yr old TEF response to P fertilization over 25 years.

openCC (other)Mar 2022View details →
edi56/100

WSC - The Influence of Legacy P on Lake Water Quality

Using a suite of numerical models, we investigated the influence of legacy P on water quality in the Yahara Watershed of southern Wisconsin, USA. The suite included Agro-IBIS, a terrestrial ecosystem model; THMB, a hydrologic and nutrient routing model; and the Yahara Water Quality Model which estimates water quality indicators in the Yahara chain of lakes. Using five alternative scenarios of antecedent P storage (legacy P) in soils and channels under historical climate conditions, we simulated outcomes of P yield from the landscape, lake P loading, and three lake water quality indicators. Data and code may also be found in https://github.com/SRCarpen/Yahara2070LakeModel_Fits2data.git

openCC (other)Dec 2022View details →
zenodo52/100

P-S waves 3D velocity model of Los Humeros area from earthquake based travel-time tomography using CAT3D software (OGS)

<p>The dataset contains the 3D velocity model (VP (m/s), VS (m/s) and VP/VS) obtained from the tomographic inversion of seismological data in the area of Los Humeros (Mexico). The model was performed in the frame of the GEMex project (Mexico‐Europe Cooperation for research of enhanced geothermal systems and super-hot geothermal systems, WP5 &lsquo;Detection of deep structures&rsquo;, Jousset et al., D5.3, 2019).</p> <p>The inversion used 2661 P arrivals and 2272 S arrivals associated to 395 earthquakes recorded by 37 stations. The picking data was provided by Toledo et al., 2019.</p> <p>The inversion was performed by CAT3D software, a tomographic tool developed by OGS, which uses the SIRT method (Simultaneous Iterative Reconstruction Technique, Stewart, 1993) as inversion algorithm and the ray tracing procedure based on minimum time principle (B&ouml;hm et al., 1999). The velocities used as initial model for tomography were provided by the interpolated values obtained from the velocity analysis of four 2D seismic lines acquired inside the same investigated area by the tomographic inversion (See GEMex deliverable D5.3).</p> <p>The 3D velocity model is defined by a 3D grid of 61 nodes in X, 69 nodes in Y and 29 nodes in Z, equally spaced by 250 m in all directions. The total dimensions of the model is 15x17x7 km and the borders positions are (m) (WGS 84/UTM ZONE 14N):</p> <p>Xmin = 655000, Xmax = 670000</p> <p>Ymin = 2168000, Ymax = 2185000</p> <p>Zmin = -3000, Zmax = 4000</p>

opencc-by-4.0May 2020View details →
zenodo52/100

Dataset of "Neutron imaging and molecular simulation of systems from methane and p‑xylene"

<p>The dataset contains parameterizations, and input files for molecular dynamics simulations used in the study of methane dissolution in p-xylene. For selected conditions, full simulation data, i.e., trajectories and energetics are provided. All used simulation results data are provided in the table, along with the measured experimental data.</p>

opencc-by-4.0Dec 2024View details →
zenodo52/100

Assessing the role of soil microbes in the dynamics of P release from poorly soluble P forms

<p>Dataset and script used for the publication&nbsp;<em>Assessing the role of soil microbes in the dynamics of P release from poorly soluble P forms,&nbsp;</em>doi (to be determined).</p>

opencc-by-4.0Dec 2021View details →
zenodo52/100

LIAS light – A Database for Rapid Identification of Lichens – Subset Switzerland p. pte.

<p>This subset of the LIAS light database focuses on lichens found in Switzerland, providing comprehensive data for ecological research and taxon identification purposes. Not all taxa and only categorical (but 2 numerical) characters (descriptors) of the recorded taxa are covered. Updates and additional data will be published subsequently.</p>

opencc-by-4.0Aug 2024View details →
zenodo52/100

Satellite-to-Ground QKD SKR dataset for P&M and Entanglement-based Protocols

<p>This dataset provides calculated Key Performance Indicators (KPIs) for satellite-to-ground quantum key distribution (QKD) links, modeled across Low Earth Orbit (LEO), Medium Earth Orbit (MEO), and Geostationary Orbit (GEO). The LEO orbit is modeled over a two-week period, while MEO and GEO orbits are modeled over a single day, whereas samples are provided with a sampling rate of 10 seconds.</p> <p>The satellite downlink channel is simulated using two QKD protocols: the Prepare-and-Measure protocol (Decoy-BB84) and the Entanglement-based protocol (BBM92). System specifications align with the LaiQa project source prototype, incorporating SNSPDs as the detection technology and assuming telescope-to-fiber coupling for ground reception.</p> <p>This dataset includes essential input metrics such as elevation angles for different orbits and various Optical Ground Stations (OGS) over time, along with key output metrics, including Secure Key Rates (SKR), Quantum Bit Error Rate (QBER), and Link Loss. Additionally, a comprehensive PDF guide is provided to assist with data handling and interpretation.</p> <p>Note: The results that are presented in the READ_ME file provide the volume of distilled keys and the number of distilled AES 256 keys over a time period of two weeks for different satellite orbits.</p>

opencc-by-4.0Nov 2024View details →
edi52/100

Point-frame measurments from a nitrogen (N), phosphorus (P) and N+P fertilization experiment at the 2007 Anaktuvuk River, Alaska, USA fire scar during the 2016-2019 growing seasons

This file contains point-frame measurements from a nitrogen (N), phosphorus (P) and N+P fertilization experiment established in the southern section of the 2007 Anaktuvuk River fire in 2016 at a severely burned site and an unburned site. Pin-vegetation contact was recorded using a 0.75 m2 frame with 41 evenly spaced pin-drop points. Data was collected once during the height of the growing season in 2016 (when fertilization began) 2017, 2018 and 2019. This data was used to measure the impact of fertilization and fire on community composition.

openCC (other)Jan 2020View details →
edi52/100

Leaf area index (LAI) recorded from a nitrogen (N), phosphorus (P) and N+P fertilization experiment at the 2007 Anaktuvuk River, Alaska, USA fire scar during the 2016-2019 growing seasons

This file contains leaf area index (LAI) measurements from an nitrogen (N), phosphorus (P) and N+P fertilization experiment established in the southern section of the 2007 Anaktuvuk River fire in 2016. LAI was recorded using a handheld plant canopy analyzer (LI-COR 2200C; LI-COR, Lincoln, NE, USA) Data spans 4 years from 2016 (when fertilization began) until 2019. Data was recorded once a year at the peak of each growing season.

openCC (other)Jan 2020View details →
zenodo48/100

Catalysis of Tos-Gly-Pro-Arg-p-nitroanilide by α-thrombin in the presence of an anticoagulant produced by D. andersoni (dataset formatted for analysis by interferENZY)

<p><strong>Main description</strong></p> <p>This dataset depicts the catalysis of the chromogenic substrate Tos-Gly-Pro-Arg-p-nitroanilide by &alpha;-thrombin in the presence of an anticoagulant produced by <em>Dermacentor andersoni</em>, for fixed concentration of enzyme (and modulator)&nbsp;and variation of concentration of initial substrate. It was originally documented&nbsp;in&nbsp;<em>Biophysical Chemistry 252 (2019) 106193</em> (<a href="https://doi.org/10.1016/j.bpc.2019.106193">https://doi.org/10.1016/j.bpc.2019.106193</a>), and&nbsp;<em>PNAS 116 (28) 13873-13878</em> (<a href="https://doi.org/10.1073/pnas.1905177116">https://doi.org/10.1073/pnas.1905177116</a>), and then used as a study case for the&nbsp;webserver interferENZY (a web-based tool for enzymatic assay validation and standardized kinetic analysis;&nbsp;visit <a href="https://interferenzy.i3s.up.pt">https://interferenzy.i3s.up.pt</a> for more information). To this end, it was converted to the format here presented:&nbsp;tab-separated *.txt input required for interferENZY analysis.</p> <p>&nbsp;</p> <p><strong>Dataset organization</strong></p> <p>Line 1: Tab-separated initial concentrations of substrate Tos-Gly-Pro-Arg-p-nitroanilide in micromolar (&micro;M) concentration</p> <p>Line 2: Concentration of enzyme&nbsp;(0.15 nM)</p> <p>Line 3: Units of time</p> <p>Line 4: Units of concentration for substrate values and&nbsp;measurements</p> <p>Line 5: Dataset name</p> <p>Line 6 and downwards: Tab-separated column-pairs of the progress curves (time,Product)&nbsp;corresponding to the indicated values of initial concentrations of substrate in line 1</p> <p>&nbsp;</p> <p><strong>Contact information:</strong></p> <p>Maria Filipa Pinto (mfpinto@i3s.up.pt)<br> Pedro M. Martins (pmartins@ibmc.up.pt)</p> <p>i3S &ndash; Instituto de Investiga&ccedil;&atilde;o e Inova&ccedil;&atilde;o em Sa&uacute;de, Universidade do Porto, Rua Alfredo Allen, 208, 4200-135 Porto, Portugal. Telephone number: +351 226 074 900</p>

opencc-by-4.0Jul 2020View details →
zenodo48/100

Atmospheric deposition fields of nutrients (N, Fe, and P)

<p>Past (1850), present (2010), and future projected (2010) atmospheric nutrient deposition data used in PISCES simulations for the publication:&nbsp;Myriokefalitakis, S., Gr&ouml;ger, M., Hieronymus, J., and Döscher, R.: An explicit estimate of the atmospheric nutrient impact on global oceanic productivity, Ocean Sci. Discuss., https://doi.org/10.5194/os-2020-27, in review, 2020.</p>

opencc-by-4.0Apr 2020View details →
zenodo48/100

PM_020635_P_Lisboa

<u>File Name</u>: PM_020635_P_Lisboa.jpg <br><u>Sublocation</u>: Caixa Geral de Depósitos <br><u>Location</u>: Lisboa <br><u>Province</u>: Lisboa, Lisboa <br><u>Country</u>: Portugal <br><u>Header</u>: Vlaams wandtapijt, serie de Portugezen in India: De Aankomst in Calicut van Vasco da Gama, ca 1510, collectie Caixa Geral de Depósitos, Lisboa <br><u>Description</u>: Flemish tapestry Series The Portugese in india: The Arrival in Calicut (De Aankomst in Calicut, Llegado de Vasco de Gama a Lisboa) Ca 1510 Collection Caixa Geral de Depósitos, Lisboa <br><u>Keywords</u>: Cultural heritage, Europe, Lisboa, Museum/private collection, Portugal, Tapestry, Techniques <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>

opencc-by-sa-4.0Nov 2024View details →
zenodo48/100

PM_020647_P_Lisboa

<u>File Name</u>: PM_020647_P_Lisboa.jpg <br><u>Sublocation</u>: Caixa Geral de Depósitos <br><u>Location</u>: Lisboa <br><u>Province</u>: Lisboa, Lisboa <br><u>Country</u>: Portugal <br><u>Header</u>: Vlaams wandtapijt, serie de Portugezen in India: De Aankomst in Calicut van Vasco da Gama, ca 1510, collectie Caixa Geral de Depósitos, Lisboa, detail <br><u>Description</u>: Flemish tapestry Series The Portugese in india: The Arrival in Calicut (De Aankomst in Calicut, Llegado de Vasco de Gama a Lisboa) Ca 1510 Collection Caixa Geral de Depósitos, Lisboa Detail <br><u>Keywords</u>: Cultural heritage, Europe, Lisboa, Museum/private collection, Portugal, Tapestry, Techniques <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>

opencc-by-sa-4.0Nov 2024View details →
zenodo48/100

PM_020641_P_Lisboa

<u>File Name</u>: PM_020641_P_Lisboa.jpg <br><u>Sublocation</u>: Caixa Geral de Depósitos <br><u>Location</u>: Lisboa <br><u>Province</u>: Lisboa, Lisboa <br><u>Country</u>: Portugal <br><u>Header</u>: Vlaams wandtapijt, serie de Portugezen in India: De Aankomst in Calicut van Vasco da Gama, ca 1510, collectie Caixa Geral de Depósitos, Lisboa, detail <br><u>Description</u>: Flemish tapestry Series The Portugese in india: The Arrival in Calicut (De Aankomst in Calicut, Llegado de Vasco de Gama a Lisboa) Ca 1510 Collection Caixa Geral de Depósitos, Lisboa Detail <br><u>Keywords</u>: Cultural heritage, Europe, Lisboa, Museum/private collection, Portugal, Tapestry, Techniques <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>

opencc-by-sa-4.0Nov 2024View details →
zenodo48/100

PM_020645_P_Lisboa

<u>File Name</u>: PM_020645_P_Lisboa.jpg <br><u>Sublocation</u>: Caixa Geral de Depósitos <br><u>Location</u>: Lisboa <br><u>Province</u>: Lisboa, Lisboa <br><u>Country</u>: Portugal <br><u>Header</u>: Vlaams wandtapijt, serie de Portugezen in India: De Aankomst in Calicut van Vasco da Gama, ca 1510, collectie Caixa Geral de Depósitos, Lisboa, detail <br><u>Description</u>: Flemish tapestry Series The Portugese in india: The Arrival in Calicut (De Aankomst in Calicut, Llegado de Vasco de Gama a Lisboa) Ca 1510 Collection Caixa Geral de Depósitos, Lisboa Detail <br><u>Keywords</u>: Cultural heritage, Europe, Lisboa, Museum/private collection, Portugal, Tapestry, Techniques <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>

opencc-by-sa-4.0Nov 2024View details →
zenodo48/100

PM_020649_P_Lisboa

<u>File Name</u>: PM_020649_P_Lisboa.jpg <br><u>Sublocation</u>: Caixa Geral de Depósitos <br><u>Location</u>: Lisboa <br><u>Province</u>: Lisboa, Lisboa <br><u>Country</u>: Portugal <br><u>Header</u>: Vlaams wandtapijt, serie de Portugezen in India: De Aankomst in Calicut van Vasco da Gama, ca 1510, collectie Caixa Geral de Depósitos, Lisboa, detail <br><u>Description</u>: Flemish tapestry Series The Portugese in india: The Arrival in Calicut (De Aankomst in Calicut, Llegado de Vasco de Gama a Lisboa) Ca 1510 Collection Caixa Geral de Depósitos, Lisboa Detail <br><u>Keywords</u>: Cultural heritage, Europe, Lisboa, Museum/private collection, Portugal, Tapestry, Techniques <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>

opencc-by-sa-4.0Nov 2024View details →
zenodo48/100

PM_020656_P_Lisboa

<u>File Name</u>: PM_020656_P_Lisboa.jpg <br><u>Sublocation</u>: Caixa Geral de Depósitos <br><u>Location</u>: Lisboa <br><u>Province</u>: Lisboa, Lisboa <br><u>Country</u>: Portugal <br><u>Header</u>: Vlaams wandtapijt, serie de Portugezen in India: De Aankomst in Calicut van Vasco da Gama, ca 1510, collectie Caixa Geral de Depósitos, Lisboa, detail <br><u>Description</u>: Flemish tapestry Series The Portugese in india: The Arrival in Calicut (De Aankomst in Calicut, Llegado de Vasco de Gama a Lisboa) Ca 1510 Collection Caixa Geral de Depósitos, Lisboa Detail <br><u>Keywords</u>: Cultural heritage, Europe, Lisboa, Museum/private collection, Portugal, Tapestry, Techniques <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>

opencc-by-sa-4.0Nov 2024View details →
zenodo48/100

PM_020654_P_Lisboa

<u>File Name</u>: PM_020654_P_Lisboa.jpg <br><u>Sublocation</u>: Caixa Geral de Depósitos <br><u>Location</u>: Lisboa <br><u>Province</u>: Lisboa, Lisboa <br><u>Country</u>: Portugal <br><u>Header</u>: Vlaams wandtapijt, serie de Portugezen in India: De Aankomst in Calicut van Vasco da Gama, ca 1510, collectie Caixa Geral de Depósitos, Lisboa, detail <br><u>Description</u>: Flemish tapestry Series The Portugese in india: The Arrival in Calicut (De Aankomst in Calicut, Llegado de Vasco de Gama a Lisboa) Ca 1510 Collection Caixa Geral de Depósitos, Lisboa Detail <br><u>Keywords</u>: Cultural heritage, Europe, Lisboa, Museum/private collection, Portugal, Tapestry, Techniques <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>

opencc-by-sa-4.0Nov 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