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.

578

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

578 results for “horizons”

Learn how ShareScore rates datasets ↗
edi40/100

Far northeastern Siberia boreal forest data: Soil horizon and thaw depths across a larch forest density gradient

This dataset includes soil horizon and thaw depths within four larch stands near Cherskii, Siberia. Data have not been published.

openOpenDec 2013View details →
edi40/100

Soil microbial activity and abundance data in the rhizosphere and bulk soils of O horizon in the MELNHE study, 2014

The Multiple Element Limitation in Northern Hardwood Ecosystems (MELNHE) project studies N and P acquisition and limitation through a series of nutrient manipulations in northern hardwood forests. This data set includes rhizosphere processes and microbial abundance at the Bartlett Experimental Forest. Samples were collected once, in summer 2014, in the forth year of fertilization with N and P. 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)Apr 2019View details →
edi40/100

Hubbard Brook Experimental Forest: Soil Profile Maps and Horizon Thicknesses on Watershed 5, 1983-1998

We sampled soils prior to the whole-tree harvest of watershed 5 at Hubbard Brook Experimental Forest in 1983, and again in 1986, 1991, and 1998, using the quantitative soil pit method. Here we report horizon thicknesses and present hand drawn maps of the sides of a subset of the 239 sampling pits excavated over the four sampling years. Note that U.S. standard soil horizon nomenclature changed between 1983 and 1986. In nearly all cases, the 1983 horizon designations have the following equivalencies: A2 = E, Bhir = Bs, Bir = Bs1, B23 and B23+ = Bs2. 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. An analysis of these data has been published in: Johnson, C.E., A.H. Johnson, T.G. Huntington, and T.G. Siccama. 1991. Whole-tree clear-cutting effects on soil horizons and organic-matter pools. Soil Science Society of America Journal. 55:497-502. https://doi.org/10.2136/sssaj1991.03615995005500020034x

openCC (other)Jul 2021View details →
edi40/100

Trend surface analysis of the 300 Years-Before Present stratigraphic horizon and the Holocene/Pleistocene boundary of the Virginia Coast Reserve

This data set contains sediment grain-size distribution and organic matter data obtained from thirty vibracore samples collected along transects crossing Hog Island Bay, VA prior to 1997. Â Analysis was conducted at various depths along each core.

openCustomDec 1996View details →
dryad36/100

Teaching and learning in ecology: a horizon scan of emerging challenges and solutions

<p>We currently face significant, anthropogenic, global environmental challenges and therole of ecologists in mitigating these challenges is arguably more important than ever. Consequently there is an urgent need to recruit and train future generations of ecologists, both those whose main area is ecology, but also those involved in the geological, biological and environmental sciences. Here we present the results of a horizon scanning exercise that identified current and future challenges facing the teaching of ecology, through surveys of teachers, students and employers of ecologists. Key challenges identified were grouped in terms of the perspectives of three groups: students, for example the increasing disconnect between people and nature; teachers, for example the challenges associated with teaching the quantitative skills that are inherent to the study of ecology; and society, for example poor societal perceptions of the field of ecology. In addition to the challenges identified, we propose a number of solutions developed at a workshop by a team of ecology teaching experts, with supporting evidence of their potential to address many of the problems raised. These proposed solutions include developing living labs, teaching students to be ecological entrepreneurs and influencers, embedding skills-based learning and coding in the curriculum, an increased role for learned societies in teaching and learning, and using new technology to enhance fieldwork studies including virtual reality, artificial intelligence and realtime spoken language translation. Our findings are focused towards UK higher education, but they should be informative for students and teachers of a wide range of educational levels, policy makers and professional ecologists worldwide.</p>

opencc-zeroSep 2020View details →
zenodo36/100

Botanical Analysis of Middle Horizon (AD 600-1000) Archaeological Contexts of the Upper Majes Valley, Arequipa Peru

<p>In 2019, paleobotanical analyses were conducted by the laboratory Arqueobios, Inc. located in Trujillo, Peru under the supervision of V&iacute;ctor F. V&aacute;squez S&aacute;nchez. Samples were collected from archaeological contexts from four sites that correspond to the Middle Horizon period (AD 600-1000) including Santa Rosa II, La Angostura, El Tambo, and Pakaytambo.</p> <p>Macrobotanical and microbotanical starch and phytolith analyses identified evidence of maize, potato, yuca, bottle gourd, and a variety of wild species.</p> <p>This data is a component of the PhD dissertation entitled <em>Networks of Empire: The Role of Infrastructure in Wari State Expansion in Arequipa, Peru (AD 600-1000)</em> by David A. Reid (University of Illinois at Chicago).</p> <p>Funding was provided by the National Science Foundation&rsquo;s Doctoral Dissertation Research Improvement Award (#1854651).</p>

opencc-by-4.0Nov 2020View details →
zenodo36/100

Nonperturbative phi4 potentials: Phase transitions and light horizons

<p>Data underlying figures in paper &quot;Nonperturbative phi4 potentials: Phase transitions and light horizons&quot;. The data are generated by, and can be plotted with, python programs in&nbsp;https://github.com/seanYuanSHI/Phi4</p> <p>This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344 and was supported by the Lawrence Fellowship through LLNL-LDRD Program under Project No. 19-ERD-038.</p> <p>This data set is released under LLNL-MI-823772.</p>

opencc-by-4.0Jun 2021View details →
zenodo36/100

IUPUI Public Art - "Horizons"

**MESH PARAMETERS** **Object Description:** Digitized 400-pound Iron figure, sitting on wooden bench; Real-life approximate dimensions 25"x35"x55" **Watertight:** No <br> **TEXTURE PARAMETERS** **Count:** 1 **Size:** 8,192 x 8,192 **Delighting:** Yes Source: Objaverse 1.0 / Sketchfab

opencc-byNov 2018View details →
zenodo36/100

Advancing the Adverse Outcome Pathway (AOP) in Radiation Research: An International Horizon-Style Exercise

<p>Over the past few decades, the chemical and ecotoxicology fields have been using the Adverse Outcome Pathway (AOP) framework to advance research and regulation. This framework offers an effective means to organize biological data into key events in the progression to an adverse outcome of interest to regulatory decision-making. The AOP framework is gaining traction within the radiation risk assessment community as the framework provides a linkage between experimentally derived biological data at different levels of biological organization with disease progression. It is envisioned that the AOP framework can strengthen the weight of evidence, decrease the uncertainty in radiation risk assessment, and enhance the understanding of radiation-induced effects at low doses and low dose rates. However, to advance the AOP framework within the field of radiation, uptake from the research community, policy makers, regulators and other stakeholders (e.g., industry) will be required.</p> <p>To explore the diversity of opinions and ideas on incorporating the AOP framework in research and regulation, an international horizon-style exercise is being undertaken by the Nuclear Energy Agency&rsquo;s High-Level Group on Low Dose Research (HLG-LDR) Radiation/Chemical (Rad/Chem) AOP joint topical group.&nbsp; This exercise will identify the most important open questions regarding the use of the AOP framework in radiation research and regulation. The vision of the topical group is to demonstrate AOPs as an essential tool to characterize the knowledge domain, define evidence gaps, and ultimately, inform research directions based on knowledge from both the chemical and the radiation research communities. The first phase of the horizon-style exercise, the candidate question solicitation, is now complete with input from around the globe. Currently, a dedicated steering committee is sorting the collected questions with the intent to identifying key areas where radiation AOPs can support and identify challenges to its implementation in regulatory decision-making.&nbsp; Completion of this phase of the exercise will identify the most important questions for inclusion in an international survey. The survey will permit survey respondents to highlight priority questions specific to individual interests. The outcome of the international survey will guide future initiatives of the Rad/Chem AOP joint topical group, inform focused workshop topics, and ultimately facilitate the integration of the AOP framework into radiation risk assessment and radiation protection.</p>

opencc-by-2.0Nov 2021View details →
zenodo36/100

Uncommon Commons? Creative Commons licencing in Horizon 2020 Data Management Plans

<p>As policies, good practices and funder mandates on research data management evolve, more emphasis has been put on the licencing of data. Licencing information allow potential re-users to quickly identify what they can do with the data in question and is therefore an important component to ensure the reusability of research.</p> <p>In my research I analyse a pre-existing collection of 840 Horizon 2020 public data management plans (DMPs) available on the repository of the University of Vienna, Phaidra,, to determine which ones mention creative commons licences and among those who do, what licences are being used.</p> <p>This excel file contains the data underlying the publication &quot;Uncommon Commons? Creative Commons licencing in Horizon 2020 Data Management Plans &quot;.</p> <p>Sheet 1 contains the data collected in the previous &quot;Data Re-Use&quot; project: 840 DMPs downloaded from CORDIS and vetted to ensure they are public documents and not copyrighted</p> <p>Sheet 2 contains the same data as sheet 1, with columns D to Q not visible (for better reading) but an added column R which now contains the CC licening information (where available)</p> <p>Sheet 3 is filtered so that only the projects containing CC BY relevant licencing are shown</p> <p>Sheet 4 is filtered so that only the projects containing CC-BY-SA relevant licencing are shown</p> <p>Sheet 5 is filtered so that only the projects containing CC-BY-NC relevant licencing are shown</p> <p>Sheet 6 is filtered so that only the projects containing CC-BY-ND relevant licencing are shown</p> <p>Sheet 7 is filtered so that only the projects containing Cc-BY-NC-ND relevant licencing are shown</p> <p>Sheet 8 is filtered so that only the projects containing CC-BY-NC-SA relevant licencing are shown</p> <p>Sheet 9 is filtered so that only the projects containing CC0 relevant information are shown</p> <p>Sheet 10 provides an overview table of the relevant licences (manual entry)</p> <p>Sheet 11 and 12 contain graphic visulations of the data as used in the article</p>

opencc-by-4.0Jun 2022View details →
zenodo36/100

Horizon Europe - overview of funding opportunities for your research and innovation

<p><b>Abstract</b></p><p class="dhik-abstract-content">Horizon Europe (HE) is the 9th European Research &amp; Innovation Program (2021-2027). In the organization Euresearch is mandated by the Swiss Government to inform and advise researchers and innovators on how to apply for funding through HE. In this presentation Euresearch outlines how to apply and presents selected funding opportunities.</p><p></p><p><b>Weitere Beiträge aus dem DHIK-Forum 2022 auf Zenodo:</b></p><p class="dhik-session-list"></p><ul><li>Session #1: Viktor Sigrist: Internationalisierung - Partnerschaften für den Ausbau von Forschung und Entwicklung (DOI:<a href="https://zenodo.org/record/7123701">10.5281/zenodo.7123701</a>)</li><li>Session #2: Dieter Leonhard: DHIK- Strategien der internationalen Zusammenarbeit in Forschung und Lehre (DOI:<a href="https://zenodo.org/record/7123456">10.5281/zenodo.7123456</a>)</li><li>Session #3: Stephen Wittkopf: Wissens- und Innovationstransfer - Interdisziplinäre Zusammenarbeit mit Unternehmen und Institutionen (DOI:<a href="https://zenodo.org/record/7025707">10.5281/zenodo.7025707</a>)</li><li>Session #4: Xiao Feng: CDHAW - Chinesisch-Deutsche Hochschule für Angewandte Wissenschaften (DOI:<a href="https://zenodo.org/record/7123458">10.5281/zenodo.7123458</a>)</li><li>Session #5: Antonio Pita und Isabel Kreiner: Academy-Industry-Collaboration - Outreach Strategy (DOI:<a href="https://zenodo.org/record/7123460">10.5281/zenodo.7123460</a>)</li><li>Session #6: Martin Sternberg: Promotionsrecht – aktueller Stand an deutschen Hochschulen für angewandte Wissenschaften (DOI:<a href="https://zenodo.org/record/7123757">10.5281/zenodo.7123757</a>)</li><li>Session #7: Adrian Derungs: Duo mit Innovationskraft - Zusammenspiel von Forschung und Wirtschaft in der Zentralschweiz (DOI:<a href="https://zenodo.org/record/7123767">10.5281/zenodo.7123767</a>)</li><li>Session #8: Theres Paulsen: Transdisziplinäre Forschung - komplexe gesellschaftliche Herausforderungen erfordern diverse Ansätze (DOI:<a href="https://zenodo.org/record/7123769">10.5281/zenodo.7123769</a>)</li><li>Session #9: Jörg Schneider: International research collaboration - New funding opportunities for universities of applied sciences (DOI:<a href="https://zenodo.org/record/7123771">10.5281/zenodo.7123771</a>)</li><li><b>Session #10: Cornelia Spycher und Matthew Whellens: Horizon Europe - overview of funding opportunities for your research and innovation (<a href="#collapseTwo">Video</a>)</b></li><li>Session #11: Janique Siffert: Eureka Eurostars - erfolgreiche Förderung für internationale Innovationsprojekte (DOI:<a href="https://zenodo.org/record/7123777">10.5281/zenodo.7123777</a>)</li><li>Session #12: Ludger Fischer: Energy Lab - ein Netzwerk für innovative Lösungen im Energiebereich (DOI:<a href="https://zenodo.org/record/7123779">10.5281/zenodo.7123779</a>)</li><li>Session #13: Jörg Worlitschek: Thermal energy storage - heating the north, cooling the south (DOI:<a href="https://zenodo.org/record/7123781">10.5281/zenodo.7123781</a>)</li><li>Session #14: Jonas Mühlethaler: Neues DC Microgrid-Konzept – netzunabhängige Elektrifizierung in Entwicklungsländern (DOI:<a href="https://zenodo.org/record/7123783">10.5281/zenodo.7123783</a>)</li><li>Session #15: Tommy Claussen: Dekarbonisierung des Gebäudesektors - digitale Transformation in der Gebäudetechnik und im Gebäudemanagement (DOI:<a href="https://zenodo.org/record/7123785">10.5281/zenodo.7123785</a>)</li><li>Session #16: Christoph Imboden: Flexibility solutions - making the power grid fit for the future (DOI:<a href="https://zenodo.org/record/7123787">10.5281/zenodo.7123787</a>)</li><li>Session #17: Uwe Schulz: Spielerisches Sarnetz - Simulationen für die fossile Unabhängigkeit einer Ortschaft (DOI:<a href="https://zenodo.org/record/7123790">10.5281/zenodo.7123790</a>)</li><li>Session #18: Jana Koehler: Künstliche Intelligenz – Erfolg durch Erwünschtheit, Machbarkeit und Wirtschaftlichkeit (DOI:<a href="https://zenodo.org/record/7123792">10.5281/zenodo.7123792</a>)</li><li>Session #19: Rolf Kamps: KI in der Prävention - Befragungsmethoden und Schulungen trainieren, Krankheitserreger erkennen (DOI:<a href="https://zenodo.org/record/7123794">10.5281/zenodo.7123794</a>)</li><li>Session #20: Gwendolyne Pascua: Artificial Intelligence in Space - CIMON assisting astronauts on the International Space Station (DOI:<a href="https://zenodo.org/record/7123796">10.5281/zenodo.7123796</a>)</li><li>Session #21: Tobias Matter et.al.: Augmented Reality Soundscapes - mit maschinellem Lernen Klangkulissen von zukünftigen Bauvorhaben generieren (DOI:<a href="https://zenodo.org/record/7123798">10.5281/zenodo.7123798</a>)</li><li>Session #22: Angela Nicoara: Internet of Things - transforming businesses, people's lives and driving growth in the coming years (DOI:<a href="https://zenodo.org/record/7123800">10.5281/zenodo.7123800</a>)</li><li>Session #23: Adrian Koller: Feldrobotik - unermüdliche und zunehmend intelligentere Hilfe in der Landwirtschaft (DOI:<a href="https://zenodo.org/record/7123802">10.5281/zenodo.7123802</a>)</li><li>Session #24: Widar von Arx et.al.: Realisierung der Verkehrswende - Einfluss der Preispolitik in der Mobilität (DOI:<a href="https://zenodo.org/record/7124000">10.5281/zenodo.7124000</a>)</li><li>Session #25: Andreas Liebrich: Tourismusdateninfrastruktur - Was die Schweiz von Europa lernen kann (DOI:<a href="https://zenodo.org/record/7123806">10.5281/zenodo.7123806</a>)</li><li>Session #26: Frank Pöhlau und Stefan May: Find life on Mars - Schülerprojekte zur mobilien Robotik (DOI:<a href="https://zenodo.org/record/7123808">10.5281/zenodo.7123808</a>)</li><li>Session #27: Jiayun Shen: Open Innovation - Innovationsmanagement bei der Schweizerischen Post (DOI:<a href="https://zenodo.org/record/7123810">10.5281/zenodo.7123810</a>)</li><li>Session #28: Tobias Specker: Interkulturelles Management – innovative Konzepte zum Ausbau der China-Kompetenzen an Hochschulen (DOI:<a href="https://zenodo.org/record/7123812">10.5281/zenodo.7123812</a>)</li><li>Session #29: Elena Algorri: Swimming robots - exploring the unterwater from the surface (DOI:<a href="https://zenodo.org/record/7123814">10.5281/zenodo.7123814</a>)</li><li>Session #30: Sergio Camacho: Robotics and Digital Systems Engineering at the Tec de Monterrey (DOI:<a href="https://zenodo.org/record/7123816">10.5281/zenodo.7123816</a>)</li><li>Session #31: Thomas Dorn: Industrie 4.0 - Forschungskooperationen mit der CDHAW und der Tongji Universität Shanghai (DOI:<a href="https://zenodo.org/record/7123818">10.5281/zenodo.7123818</a>)</li><li>Session #32: Walter Reichert et.al.: Kollaboration und Unterstützung - Mobile Robotik und Exoskelette in der flexiblen Produktion (DOI:<a href="https://zenodo.org/record/7123820">10.5281/zenodo.7123820</a>)</li><li>Session #33: Louis Palmer: Solar Butterfly - climate pioneer world tour supported by HSLU (DOI:<a href="https://zenodo.org/record/7123822">10.5281/zenodo.7123822</a>)</li></ul><p></p>

opencc-by-4.0Sep 2022View details →
zenodo36/100

Coherent soliton condensation in the optical event horizon (experimental data)

<p>tar.gz-archive of experimental data for the article</p> <p>&quot;Coherent soliton condensation in the optical event horizon&quot;</p> <p>S. Bose (1,2), O. Melchert (1,3), I. Babushkin (1,3), M. Pal (2), U. Morgner (1,3), G. Steinmeyer (5,6), and A. Demircan (1,3)</p> <ol> <li>Institute of Quantum Optics, Leibnitz Universit&auml;t Hannover, Welfengarten 1, 30167 Hannover, Germany</li> <li>Fiber Optics and Photonics Division, CSIR-Central Glass and Ceramic Research Institute (CGCRI), Kolkata, India</li> <li>Cluster of Excellence PhoenixD, Welfengarten 1, 30167, Hannover, Germany</li> <li>Max-Born-Institut, Max-Born-Stra&szlig;e 2A, 12489 Berlin, Germany</li> <li>Institut f&uuml;r Physik, Humboldt-Universit&auml;t zu Berlin, Newtonstra&szlig;e 15, 12489 Berlin, Germany</li> </ol>

opencc-zeroNov 2019View details →
zenodo36/100

SmartAqua4FuturE (SAFE) Horizone Europe project_WP2_T2.3.1_Keywater Fisheries_Vermiculture Dataset

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2024View details →
dryad36/100

Data from: Geohistorical records indicate no impact of the Deepwater Horizon oil spill on oyster body size

Documentation of the near- and long-term effects of the Deepwater Horizon (DWH) oil spill, one of the largest environmental disasters in US history, is still ongoing. We used a novel before-after-control-impact analysis to test the hypothesis that average body size of intertidal populations of the eastern oyster (Crassostrea virginica) inhabiting impacted areas in Louisiana decreased due to increased stress/mortality related to the oil spill. Time-averaged death assemblages of oysters were used to establish a pre-spill baseline of body-size structure for four impacted and four control locations along a 350 km stretch of Louisiana's coastline. Post-spill body sizes were then measured from live oysters at each site in order to evaluate the differences in body size between oiled (i.e. impact) and unoiled (i.e. control) locations before and after the spill. Our results indicate that average body size of oysters remained relatively unchanged after the oil spill. There were also no temporal patterns in temperature, salinity or disease prevalence that could have explained our results. Together, these findings suggest that oysters either recovered rapidly following the immediate impact of the DWH oil spill, or that its impact was not severe enough to influence short-term population dynamics of the oyster beds.

opencc-zeroDec 2015View details →
ClinicalTrials.gov36/100

Safety & Effectiveness Study of the Hydrus Microstent for Lowering IOP in Glaucoma Patients Undergoing Cataract Surgery (HORIZON)

ClinicalTrials.gov study NCT01539239. IPD Sharing: Not stated. Countries: 9. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

A Study Assessing Rocatinlimab (AMG 451) Monotherapy in Moderate-to-severe Atopic Dermatitis (AD) (ROCKET-Horizon)

ClinicalTrials.gov study NCT05651711. IPD Sharing: YES. Countries: 21. Publications: 2.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

HORIZON: A Phase II Study to Evaluate the Safety and Efficacy of Two Doses of GT005

ClinicalTrials.gov study NCT04566445. IPD Sharing: Not stated. Countries: 7. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Pivotal Omnipod Horizon™ Automated Glucose Control System

ClinicalTrials.gov study NCT04196140. IPD Sharing: NO. Countries: 1. Publications: 5.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

HORIZON CE Pivotal Study to Treat Abdominal Aortic Aneurysm

ClinicalTrials.gov study NCT02087501. IPD Sharing: Not stated. Countries: 4. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Omnipod Horizon™ Automated Glucose Control System Preschool Cohort

ClinicalTrials.gov study NCT04476472. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View 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