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Declas is a desktop application designed to help wildlife researchers process camera trap images and videos. It provides a clean interface for browsing field media, inspecting image metadata, and runn…

Declas is a desktop application designed to help wildlife researchers process camera trap images and videos. It provides a clean interface for browsing field media, inspecting image metadata, and running automated species detection and classification using AI models. Results are saved alongside the original files and can be reviewed, edited, and exported directly within the app.

MySQL v1.5.1 Diff since v1.5.0 Merged pull requests: Fix OpenSSL library loading for MariaDB authentication plugins (#233) (@quinnj) Closed issues: macOS cannot find libssl.3.dylib (#232)

Complete computational record for a registered within-subject factorial in-silico study of insulin dosing during fasting in type 1 diabetes, on the UVA/Padova model via simglucose 0.2.11. This version…

Complete computational record for a registered within-subject factorial in-silico study of insulin dosing during fasting in type 1 diabetes, on the UVA/Padova model via simglucose 0.2.11. This version (3.0.0) supersedes 1.0.0. It archives the full main campaign and the Amendment 2 addendum: 32 arms x 20 virtual patients x 7 fasting durations x 60 Monte Carlo replicates in the default cohort (268,800 simulations), 4 headline arms at 20 replicates in an illustrative regional cohort (11,200), and a 10,800-simulation registered addendum. 290,800 fourteen-day simulations in total, approximately 8,380 CPU-hours. Contents. Run manifest with generation-time invariants; simulation harness; SLURM job-array scripts; merge and analysis code computing Monte Carlo standard error on paired contrasts at replicate level; the full 1,085-contrast table; the within-basal contrast family plotted in Figure 3; addendum analysis output including the H10 censored series; figure-generating code producing all five figures at 1200 PPI; and a pinned dependency lockfile. Reproducibility. Seeds are a function of replicate and patient only and never of the arm, so every arm within a cell receives an identical noise realisation and all paired contrasts are formed on the same realisation. Both seed formulas are re-verified against the deposited manifest. Licensing. Code under Apache-2.0; data, contrast tables and figure sources under CC-BY-4.0. Not a medical device. Research and educational use only; not for clinical insulin dosing. simglucose is an open reimplementation of the UVA/Padova equations and is not the FDA-accepted T1DMS software.

We prove that Hilbert decomposition signed measures, a computable summary of multiparameter persistent homology, are not uniformly stable over all finite filtrations once there are at least three para…

We prove that Hilbert decomposition signed measures, a computable summary of multiparameter persistent homology, are not uniformly stable over all finite filtrations once there are at least three parameters. For every n ≥ 3 and m ≥ 1, we construct two filtrations of the same finite graph that differ only in the grade of one edge, yet their filtration distance is 1 and the KR₁ distance between their H₀ Hilbert decomposition signed measures is 2m. The output distance is therefore unbounded at fixed input distance one. This settles an open question of Loiseaux et al. and gives a sharp dimensional cutoff: the dimension-only estimate holds for one and two parameters, but no finite dimension-only constant exists for n ≥ 3. Rescaling puts every grade in the unit cube with input distance 1/m and output distance 2, ruling out a graph-independent modulus of continuity. The four-vertex diamond graph is the smallest violation; after subdivision, the same mechanism occurs in lower-star filtrations. The corresponding module-level bound also fails. The counterexample family and its main quantitative consequences are formalized and kernel-checked in Lean.

This record contains aggregated, non-identifiable analytical tables, publication figures, metadata, source documentation, quality-control reports, and reproducibility materials supporting the study &l…

This record contains aggregated, non-identifiable analytical tables, publication figures, metadata, source documentation, quality-control reports, and reproducibility materials supporting the study “High-altitude lightning mortality despite moderate flash density in the Peruvian Andes: a nationwide geospatial study, 2017–2024”. The nationally validated cohort included 593 lightning-related deaths, of which 591 had district and altitude information. A total of 510 deaths occurred above 3,500 m. No individual-level SINADEF mortality records, personal identifiers, free-text cause-of-death chains, private validated cohorts, or district-date multiple-victim event line lists are included. The corresponding analytical software is archived in Zenodo at https://doi.org/10.5281/zenodo.21764486 and maintained on GitHub at https://github.com/hygomez/lightning-mortality-peru.

The main purpose of the study was to determine the measures for enhancing the utilization of computer-based test (CBT) technology in assessing students in Basic Electricity in technical colleges in En…

The main purpose of the study was to determine the measures for enhancing the utilization of computer-based test (CBT) technology in assessing students in Basic Electricity in technical colleges in Enugu State. The study was guided by two research questions and two null hypotheses. The study adopted a survey research design. The population used for the study was 57 teachers of electrical/electronic trades subjects in technical colleges in Enugu State. There was no sampling due to the manageable

These are audio recordings taken by an Eclipse Soundscapes (ES) Data Collector during the week of the April 08, 2024 Total Solar Eclipse.  It was decided to include only raw, unprocessed audio da…

These are audio recordings taken by an Eclipse Soundscapes (ES) Data Collector during the week of the April 08, 2024 Total Solar Eclipse.  It was decided to include only raw, unprocessed audio data files in each site-specific Zenodo record. This decision was so that any researcher can independently verify, reproduce, and extend the analysis performed. As a result, some sites have WAV files with 0 bytes of data or timestamps outside the range of probable recording times. Procedures used by the Eclipse Soundscapes team to process audio data for its purposes are outlined in the Data Management reports located in the Eclipse Soundscapes Zenodo community. Data with 0 bytes of data were included for completeness. When possible, all site-specific files, including the audio files, are included in a single zip file for ease of download. If a single zip file upload was not possible due to upload or bandwidth limitations, audio files are included in multiple zip files based on the day of the observation. Data Site location information: Latitude: 37.62061  Longitude:  -88.6159 Local Eclipse Type: Total Solar Eclipse Eclipse Percent (%): 100 WAV files Time & Date Settings: Set with Automated AudioMoth Time Chime (More information on TimeStamp Setting below) Data Collector Start Time Notes: N/A Included Data: Audio files in WAV format with the date and time in UTC within the file name: YYYYMMDD_HHMMSS meaning YearMonthDay_HourMinuteSecondFor example, 20240411_141600.WAV means that this audio file starts on April 11, 2024 at 14:16:00 Coordinated Universal Time (UTC) CONFIG Text file: Includes AudioMoth device setting information, such as sample rate in Hertz (Hz), gain, firmware, etc.  README.md:  Markdown formatted file with information about the recording and recording site. file_list.csv:  A machine and human file that gives the following information on each file in the record: File Name, File Type, Description, File Size in kilobytes, Name of Associated Data Dictionary with the file, calculated SHA-512 Hash of the file as a unique identifier to insure data integrity during transfer and compression. total_eclipse_data.csv:  A machine and human readable file that gives the following information about the site where the audio data recording was taken: ESID#, Latitude, Longitude, Eclipse_type, CoveragePercent, Eclipse Start UTC (1st contact), Totality Start UTC (2nd contact), Totality End UTC (3rd Contact), Eclipse End UTC (4th Contact), Max Eclipse Time UTC License.txt:  A human readable file that explains the terms and conditions under which the data can be used. AudioMoth_Operation_Manual.pdf:  A human readable document that explains the use of an AudioMoth device. The document is current up to the time of the AudioMoth's use in the Eclipse Soundscapes project. file_list_data_dict.csv:  A machine and human data dictionary file that gives information on the variables contained within the file_list.csv file. CONFIG_data_dict.csv:  A machine and human data dictionary file that gives information on the variables contained within the CONFIG.TXT file. eclipse_data_data_dict.csv:  A machine and human data dictionary file that gives information on the variables contained within the total_eclipse_data.csv file. WAV_data_dict.csv:  A machine and human data dictionary file that gives information on the variables contained within the *.WAV files. ES_Data_Management_Pre-Eclipse_Data_Infrastructure_Stage_0.pdf:  PDF document that describes Stage 0 (Pre-Eclipse Infrastructure and Data Stewardship Planning) of the Eclipse Soundscapes (ES) data lifecycle. ES_Data_Management_Receipt_Sorting_and_Metadata_Organization_Stage_1.pdf:  PDF document that describes Stage 1 (Receipt, Sorting, and Metadata Organization) of the Eclipse Soundscapes (ES) data lifecycle. ES_Data_Management_Data_Processing_Stage_2.pdf:  PDF document that describes Stage 2 (Data Processing) of the Eclipse Soundscapes (ES) data Volunteer Scientists. 2023 and 2024 solar eclipse soundscapes audio datalifecycle. ES_Data_Management_Data_Sharing_Stage_3.pdf:  PDF document that describes Stage 3 (Public Data Sharing) of the Eclipse Soundscapes (ES) data lifecycle. Eclipse Information for this location: Eclipse Date: April 08, 2024 Eclipse Start Time (UTC) (1st Contact): 17:43:40 Totality Start Time (UTC) (2nd Contact): [N/A if partial eclipse] 19:00:09 Eclipse Maximum Time [when the most possible amount of the Sun in blocked] (UTC): 19:02:03 Totality End Time (UTC) (3rd Contact): [N/A if partial eclipse] 19:03:57 Eclipse End Time (UTC) (4th Contact): [N/A if partial eclipse] 20:18:49 Audio Data Collection During Eclipse Week ES Data Collectors used AudioMoth devices to record audio data, known as soundscapes, over a 5-day period during the eclipse week: 2 days before the eclipse, the day of the eclipse, and 2 days after. The complete raw audio data collected by the Data Collector at the location mentioned above is provided here. This data may or may not cover the entire requested timeframe due to factors such as availability, technical issues, or other unforeseen circumstances.  ES ID# Information: Each AudioMoth recording device was assigned a unique Eclipse Soundscapes Identification Number (ES ID#). This identifier connects the audio data, submitted via a MicroSD card, with the latitude and longitude information provided by the data collector through an online form. The ES team used the ES ID# to link the audio data with its corresponding location information and then uploaded this raw audio data and location details to Zenodo. This process ensures the anonymity of the ES Data Collectors while allowing them to easily search for and access their audio data on Zenodo.  TimeStamp Information: The ES team and the Data Collectors took care to set the date and time on the AudioMoth recording devices using an AudioMoth time chime before deployment, ensuring that the recordings would have an automatic timestamp. However, participants also manually noted the date and start time as a backup in case the time chime setup failed. The notes above indicate whether the WAV audio files for this site were timestamped manually or with the automated AudioMoth time chime.   Common Timestamp Error: Some AudioMoth devices experienced a malfunction where the timestamp on audio files reverted to a date in 1970 or before, even after initially recording correctly. Despite this issue, the affected data was still included in this ES site's collected raw audio dataset. Latitude & Longitude Information: The latitude and longitude for each site was taken manually by data collectors and submitted to the ES team, either via a web form or on paper. It is shared in Decimal Degrees format. General Project Information: The Eclipse Soundscapes Project is a NASA Volunteer Science project funded by NASA Science Activation that is studying how eclipses affect life on Earth during the October 14, 2023 annular solar eclipse and the April 8, 2024 total solar eclipse. Eclipse Soundscapes revisits an eclipse study from almost 100 years ago that showed that animals and insects are affected by solar eclipses! Like this study from 100 years ago, ES asked for the public's help. ES uses modern technology to continue to study how solar eclipses affect life on Earth!  Eclipse Soundscapes is an enterprise of ARISA Lab, LLC and is supported by NASA award No. 80NSSC21M0008. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Aeronautics and Space Administration.   Eclipse map/figure/table/predictions courtesy of Fred Espenak, NASA/Goddard Space Flight Center, from eclipse.gsfc.nasa.gov.   Eclipse Data Version Definitions {1st digit = year, 2nd digit = Eclipse type (1=Total Solar Eclipse, 9=Annular Solar Eclipse, 0=Partial Solar Eclipse), 3rd digit is unused and in place for future use} 2023.9.0 = Week of October 14, 2023 Annular Eclipse Audio Data, Path of Annularity (Annular Eclipse) 2023.0.0 = Week of October 14, 2023 Annular Eclipse Audio Data, OFF the Path of Annularity (Partial Eclipse) 2024.1.0 = Week of April 8, 2024 Total Solar Eclipse Audio Data, Path of Totality (Total Solar Eclipse) 2024.0.0 =  Week of April 8, 2024 Total Solar Eclipse Audio Data , OFF the Path of Totality (Partial Solar Eclipse) An A at the end of the version number indicates that the record has multiple zip files. Each zip file is an archive of the WAV files recorded on a particular day. The formatting of the name of these zip archives is ESID_NNN_YYYY_MM_DD.zip. *Please note that this dataset's version number is listed below. Eclipse Soundscapes Data Collector Role Training and Implementation Resources Manual (2023-2024) (Archival Copy) This site-level record includes the Eclipse Soundscapes Data Collector Role Training and Implementation Resources Manual (2023-2024). The manual documents the participant training, device setup procedures, metadata submission requirements, ES ID system, timestamp protocols, data return workflow, and public archiving processes used during the October 14, 2023 annular solar eclipse and the April 8, 2024 total solar eclipse. The manual is preserved for transparency and reproducibility and reflects the procedures under which this dataset was collected and processed. (DOI 10.5281/zenodo.18623442) Data Receipt, Processing, and Analysis Methods All programs supporting Stages 1–3 are openly available in the: Eclipse Soundscapes GitHub repository: https://github.com/ARISA-Lab-LLC/ESCSP Data Management Lifecycle The following section documents the relationship of this record to the full Eclipse Soundscapes (ES) data lifecycle, a multi-stage workflow designed to support large-scale participatory science, long-term data stewardship, open science, and scientific reuse. Each stage addressed a different operational need, beginning before eclipse deployment and continuing through validation, public archiving, and scientific analysis. Together, these stages transformed distributed volunteer-submitted audio recordings into structured, documented, publicly accessible NASA-funded research assets. Stage 0: Pre-Eclipse Infrastructure and Deployment Preparation Severino, M., & Winter, H. (2026). Eclipse Soundscapes Data Management: Pre-Eclipse Infrastructure and Deployment Preparation (Stage 0). Zenodo. https://doi.org/10.5281/zenodo.20413370 Stage 0 focused on building the operational foundation required to support geographically distributed eclipse data collection at national scale. This stage included AudioMoth device preparation, accessibility modifications, ES ID # assignment systems, metadata collection workflows, participant training materials, deployment logistics, and planning for downstream data stewardship and archival workflows. The 2023 annular eclipse served as both a scientific investigation and a large-scale operational beta test that informed improvements for the 2024 total solar eclipse campaign. Related Citations and Resources: Severino, M., & Kline, T. (2025, November 24). Eclipse Soundscapes Apprentice Role Curriculum: Solar Eclipses and Multi-Sensory Observing (Informal Education). Zenodo. https://doi.org/10.5281/zenodo.17703003 Severino, M., & Bauer, D. J. (2026). Eclipse Soundscapes Observer Role Training and Resources Manual (2023–2024). Zenodo. https://doi.org/10.5281/zenodo.18633602</li> Severino, M., Winter, H., & Bauer, D. J. (2026). Eclipse Soundscapes Data Collector Role Training and Implementation Manual (2023–2024). Zenodo. https://doi.org/10.5281/zenodo.18623443 Stage 1: Receipt, Sorting, and Metadata Organization Severino, M., & Winter, H. (2026). Eclipse Soundscapes Data Management: Receipt, Sorting, and Metadata Organization (Stage 1). Zenodo. https://doi.org/10.5281/zenodo.19471425 Stage 1 transformed returned participant materials into organized, traceable site-level records. This included receiving mailed microSD cards, consolidating participant-submitted metadata, reconciling handwritten and online records, organizing physical audio media by ES ID #, and deriving eclipse timing and coverage information using NASA eclipse prediction datasets. The outputs of Stage 1 established the structured metadata relationships required for downstream validation, processing, archiving, and analysis workflows. Related Citations and Resources: Winter, H., & Goncalves, J. (2026). EPTT (Eclipse Phase Timing Tool) [Computer software]. GitHub. https://github.com/ARISA-Lab-LLC/ESCSP-Eclipse-Phase-Timing-Tool/li> Espenak, F. (n.d.). Eclipse predictions by Fred Espenak, NASA's GSFC Eclipse Web Site. NASA Goddard Space Flight Center. http://eclipse.gsfc.nasa.gov/eclipse.html Stage 2: Data Processing and Validation Severino, M., & Winter, H. (2026). Eclipse Soundscapes Data Management: Data Processing (Stage 2). Zenodo. https://doi.org/10.5281/zenodo.18683402 Stage 2 focused on centralized audio ingestion, validation, timestamp verification, metadata reconciliation, and preparation of datasets for analysis and public sharing. During this stage, returned audio recordings were processed using custom open-source tools developed by the ES team, including ES WAVES and ES AMES. The project implemented scalable infrastructure capable of processing large volumes of participant-submitted microSD cards while preserving all raw audio data without modification. Stage 2 established the validated dataset structure required for long-term preservation and scientific analysis. Related Citations and Resources: Winter, H., & Goncalves, J. (2026). ES WAVES (Eclipse Soundscapes WAV Audio Validation & Extraction Suite) [Computer software]. GitHub. https://github.com/ARISA-Lab-LLC/ESCSP-ES-WAV-Audio-Validation-Extraction-Suite Winter, H., & Goncalves, J. (2026). ES AMES (Eclipse Soundscapes AudioMoth Metadata Extractor Suite) [Computer software]. GitHub. https://github.com/ARISA-Lab-LLC/ESCSP-ES-AMES-AudioMoth-Metadata-Extractor-Suite Stage 3: Public Data Sharing and Open Archiving Severino, M., & Winter, H. (2026). Eclipse Soundscapes Data Management: Public Audio Data Sharing (Stage 3). Zenodo.https://doi.org/10.5281/zenodo.18683437 Stage 3 transformed validated site-level datasets into publicly archived, DOI-assigned research records published through the Eclipse Soundscapes Zenodo Community. This stage included dataset packaging, metadata standardization, README generation, integrity verification, DOI assignment, and automated repository upload workflows using the Automated Zenodo Upload Software (AZUS). These workflows established the project's long-term open-science infrastructure and ensured that datasets remained findable, accessible, interoperable, reusable, and citable for future scientific and educational use. Related Citations and Resources: Winter, H., & Goncalves, J. (2026). AZUS (Automated Zenodo Upload Software) [Computer software]. GitHub. https://github.com/ARISA-Lab-LLC/AZUS-Automated-Zenodo-Upload-Software Stage 4: Scientific Analysis and Research Use Stage 4 involves the scientific analysis and interpretation of validated eclipse soundscape datasets. Analysis workflows utilized datasets verified during earlier stages to investigate eclipse-related environmental and animal vocalization changes across hundreds of recording sites. This stage also includes broader scientific interpretation, publication development, and continued reuse of Eclipse Soundscapes datasets and infrastructure for future research, education, and open-science applications. Related Citations and Resources: Pease, B., Gilbert, N., & Severino, M. (2026). Eclipse Soundscapes Preliminary Findings – How Eclipses Affect Nature as determined by Sound (Recorded Webinar). Zenodo.https://doi.org/10.5281/zenodo.18613979 Gilbert, N. A., Pease, B. S., Severino, M., & Winter, H. III. (2026). Photic niche explains avian behavioral responses to solar eclipses. Ecology and Evolution, 16(2), e73090. https://doi.org/10.1002/ece3.73090 Analysis code repository: https://github.com/BrentPease1/eclipse-traits Companion Zenodo record archiving structured analysis scripts and derived outputs: https://doi.org/10.5281/zenodo.15790879[r] Public Archiving, Privacy, and Data Transparency The Eclipse Soundscapes Data Collector Role Training and Implementation Manual (2023-2024) includes a detailed explanation of how Eclipse Soundscapes audio data are publicly archived on Zenodo, how participant privacy is protected through the ES ID system, and how transparency and traceability are maintained. It also outlines the criteria for determining which recordings are included in the public archive, as well as the distinction between publicly shared archival data and datasets used for ES-led scientific analyses. Participants and data users can consult this section for full documentation of the project's open science and privacy practices. Severino, M., & Winter, H. (2026). Eclipse Soundscapes Data Collector Role Training and Implementation Manual (2023–2024). Zenodo. https://doi.org/10.5281/zenodo.18623443 Citations Individual Site Citation: APA Citation (7th edition) Winter, H., Severino, M., & Volunteer Scientist. (2026). 2024 solar eclipse soundscapes audio data [Audio dataset, ES ID# 668]. Zenodo.{Insert DOI} Collected by volunteer scientists as part of the Eclipse Soundscapes Project. This project is supported by NASA award No. 80NSSC21M0008. Eclipse Community Citation Winter, H., Severino, M., & Volunteer Scientists. 2023 and 2024 solar eclipse soundscapes audio data [Collection of audio datasets]. Eclipse Soundscapes Community, Zenodo. https://zenodo.org/communities/eclipsesoundscapes/ Collected by volunteer scientists as part of the Eclipse Soundscapes Project This project is supported by NASA award No. 80NSSC21M0008.  

La investigación tuvo como objetivo analizar la relación entre la condición física y el bienestar en jugadores de balonmano playa con tendinitis del manguito rotador. Se de…

La investigación tuvo como objetivo analizar la relación entre la condición física y el bienestar en jugadores de balonmano playa con tendinitis del manguito rotador. Se desarrolló bajo un enfoque cuantitativo, con alcance descriptivo y diseño no experimental de corte transversal. La población estuvo conformada por 90 jugadores de la Federación Deportiva de Santa Elena, de los cuales 32 presentaron síntomas de tendinopatía del manguito rotador y cumplieron los criterios de inclusión. Para la recolección de datos se utilizó un goniómetro para medir el rango de movimiento, la escala de Daniels para evaluar la fuerza muscular, una prueba de reposicionamiento activo para valorar la propiocepción y el cuestionario Western Ontario Rotator Cuff para determinar la calidad de vida. Los resultados evidenciaron limitaciones en la movilidad del hombro en la mayoría de los participantes, predominio de fuerza muscular moderada y leves alteraciones propioceptivas. Asimismo, la mayor parte de los deportistas presentó una calidad de vida moderada. Se concluye que las alteraciones funcionales del hombro coinciden con una menor percepción de bienestar en los jugadores evaluados, lo que evidencia la necesidad de implementar estrategias preventivas y de rehabilitación orientadas a mejorar la función articular y la calidad de vida deportiva.