TRASYS Metamodels and M2M/M2T Transformation Specifications for Continuous Traceability Management
Morales Trujillo, Leticia · García García, Julián Alberto · Domínguez Mayo, Francisco José · et al.
11 rows × 3 cols · 1.1 KB · csv, png
hybrid · semantic + lexical · 1122 datasets ranked · 1.08s
Morales Trujillo, Leticia · García García, Julián Alberto · Domínguez Mayo, Francisco José · et al.
11 rows × 3 cols · 1.1 KB · csv, png
3 categorical
This package provides the TRASYS validation and verification metamodel diagrams together with concise specifications of the model-to-model and model-to-text transformations documented in the doctoral thesis Continuous Traceability Management in Assisted Reproduction Processes. The materials describe the derivation of a preliminary verification model from a validation model and the generation of traceability-rule and data-structure code from the verification model. No clinical data, personal data, production code, Enterprise Architect project files, credentials, or proprietary artifacts are included.
Altenhoff, Adrian
6 files · 100 MB · hdf5
OMAmer - tree-driven and alignment-free protein assignment to subfamilies OMAmer is an alignment-free protein family assignment method designed to avoid overly specific subfamily predictions and to scale efficiently to phylogenomic databases containing thousands of genomes. It relies on an innovative approach that uses evolutionarily informed k-mers for alignment-free mapping to ancestral protein subfamilies. This dataset provides precomputed OMAmer databases derived from the Hierarchical Orthologous Groups in the OMA Browser . We aim to update these databases with every new OMA Browser release. Each OMAmer database is built using the latest version of the OMAmer package available at the time of the corresponding OMA Browser release. The dataset includes databases for different subsets of the species taxonomy. In most cases, we recommend using the LUCA.h5 database, which contains information from all species in the OMA database. The subset-specific databases are mainly useful when disk space is limited. The release May2026 is based on the OMA Browser release May 2026 which comprises 2983 species. We used OMAmer version 2.1.0 to build these databases.
Yang, Qingliu
6 files · 8.0 MB · bzip2
Dataset Description This dataset contains 3D lightning location results, DALMA and FALMA waveform for two Energetic Compact Stroke (ECS) events. location results are included: HF3D_1732785151.dat - 3D lightning locations for the ECS leader A flash. HF3D_1734785454.dat - 3D lightning locations for the ECS leader B flash. The timestamp 1734785454 and 1732785151 corresponds to the occurrence time of the lightning flash in Japan Standard Time. File format and parameters The first row contains the lightning occurrence time. Column descriptions: Time (ms) - time relative to the lightning source. X, Y, Z (m) - 3D spatial coordinates relative to ground level. The origin (0, 0, 0) corresponds to latitude 36.76°N and longitude 136.76°E. FALMA and DALMA waveform ECSLeaderA_DALMA_waveform.bz2 is DALMA waveform of Leader A. ECSLeaderA_FALMA_waveform.bz2 is FALMA waveform of Leader A. ECSLeaderB_DALMA_waveform.bz2 is DALMA waveform of Leader B. ECSLeaderB_FALMA_waveform.bz2 is FALMA waveform of Leader B. This dataset allows analysis of the spatial and temporal development of these two ECS flashes.
Kovaliov, Michael
1 files · 100 MB · parquet
Madhusudan, Gujral
6 files · 29 MB · parquetdeclared
Large language models (LLMs) are trained on massive, publicly available text datasets comprising trillions of tokens, enabling them to excel at general language tasks like next-token prediction. However, LLMs often struggle with domain-specific prompts, exhibiting reduced accuracy or generating inaccurate information (hallucinations). This is because they lack sufficient subject matter expertise. Two primary approaches exist to address this limitation for augmenting LLMs knowledge: Retrieval-Augmented Generation (RAG) and fine-tuning. This presentation focuses on fine-tuning smaller LLMs with domain-specific instruct datasets using the LoRA (Low-Rank Adaptation) technique on Gaudi hardware. We will leverage publicly available LLMs and datasets from the Hugging Face Hub for this demonstration. Though it is possible to fine tune LLMs with plain text data - sourced from documents, articles, and other materials.
Austin, Timothy · do Valle Chagas Azaneu, Marina · Roughan, Moninya
26 files · 29 MB · netcdf, pdf, pngdeclared
Data collected from a temperature mooring at Lord Howe Island maintained by UNSW Sydney and funded by Parks Australia. The mooring position is longitude = 158.97°E and latitude = -31.51°, and local depth of approximately 52 m. The data were sampled using a series of thermistors (aqualogger 520PTs) deployed on a mooring line at 4m intervals through the water column, with shallowest instrument at 13 m and deepest at 53 m. The time period spans between 14-05-2025 and 22-04-2026. IMOS standard data quality assurance and quality control processes have been followed and the data formatted following IMOS conventions. Data quality control includes automated routines and visual inspection (expert QC) and flagging of obvious errors. File are c.f. compliant NetCDF files, and file name format follows IMOS conventions and includes sampling period in the format: UNSW_Lord_Howe_Marine_Park_TZ_ yyyymmddThhmmss Z_LH050_FV01_ LH050-2511-Aqualogger-AQUAlogger-520PT16-max160m-13_END- yyyymmddThhmmssZ.
Hakkens, Jonas W. P. · Reumer, Jelle W. F. · Schulp, Anne S.
1 files · 894 KB · pngdeclared
FIG. 14. — T3 (A, B), T8 (C, D), T11 (E, F), and T12 (G, H) of Zygorhiza kochii (Reichenbach in Carus & Koch, 1847), specimen TM 8501 in anterior (A, C, E, G) and lateral (B, D, F, H) views. Abbreviations: C, centrum; CF, capitular facet; NC, neural canal; POZ, postzygapophysis; PRZ, prezygapophysis; TF, tubercular facet; TP, transverse process. Scale bar: 10 cm. Figure: Jonas W. P. Hakkens.
Hakkens, Jonas W. P. · Reumer, Jelle W. F. · Schulp, Anne S.
1 files · 1.4 MB · pngdeclared
FIG. 9. — Preserved elements of Zygorhiza kochii (Reichenbach in Carus & Koch, 1847), specimen TM 8501 as located in-situ (A) and in articulation (B). Colors indicate anteroposterior location of element. Abbreviations: BH, basihyal; CX, cervical vertebra X; DR, distal rib segment; LM, left mandible; MN, manubrium; MS, mesosternal segment; RM, right mandible; Rx, Rib X; TB, tympanic bulla; TX, thoracic vertebra X. Scale bar: 10 cm. Figure: Jonas W. P. Hakkens.
Hakkens, Jonas W. P. · Reumer, Jelle W. F. · Schulp, Anne S.
1 files · 303 KB · pngdeclared
FIG. 7. — Skulls of Zygorhiza kochii (Reichenbach in Carus & Koch,1847) USNM 11962, and Dorudon serratus Gibbes, 1845 MMNS VP 130 in lateral and dorsal views highlighting diagnostic features: 1, nuchal crest bearing a posteriorly directed point at mid-height (Zygorhiza kochii) vs is generally round (Dorudon serratus) in lateral view; 2, crenulated cingula on P2-4 (Zygorhiza kochii) vs smooth cingula on P2-4 (Dorudon serratus); 3, medial margin of maxillae contact frontals (Zygorhiza kochii) vs do not contact the frontals (Dorudon serratus); 4, large anterior process on frontals (Zygorhiza kochii) vs no anterior process on frontals (Dorudon serratus); 5, narial process of premaxilla extends along almost the entire length of the nasals (Zygorhiza kochii) vs halfway along lateral margin of the nasals (Dorudon serratus). Not shown: p1 with single pinched root (Zygorhiza kochii) vs double-rooted p1 (Dorudon serratus). Not to scale. Drawings: Jonas W. P. Hakkens.
Hakkens, Jonas W. P. · Reumer, Jelle W. F. · Schulp, Anne S.
1 files · 429 KB · pngdeclared
FIG. 6. — Skulls of Zy. kochii (Reichenbach in Carus & Koch, 1847) (A-D) and D. serratus Gibbes, 1845 (E-I) in lateral view, specimens are scaled to equal condylobasal length. Grey sections represent anatomy obscured by matrix, other bones, or broken surfaces; brown indicates structures from the left lateral side. Not to scale. Drawings: Jonas W. P. Hakkens.
Hakkens, Jonas W. P. · Reumer, Jelle W. F. · Schulp, Anne S.
1 files · 365 KB · pngdeclared
FIG. 5. — Skulls of Zy. kochii (Reichenbach in Carus & Koch, 1847) (A-D) and D. serratus Gibbes, 1845 (E-I) in dorsal view. Grey sections represent anatomy obscured by matrix, other bones, or broken surfaces. Scaled to equal condylobasal length. Drawings: Jonas W. P. Hakkens.
Hakkens, Jonas W. P. · Reumer, Jelle W. F. · Schulp, Anne S.
1 files · 6.2 MB · pngdeclared
FIG. 1. — Photographs of TM 8501 as displayed in Teylers Museum in dorsal (A), left lateral (B) and right lateral (C) views (note the presence of matrix obscuring details of the anterior snout, temporal openings, and associated postcrania); D, localities of Zy. kochii (Reichenbach in Carus & Koch, 1847), D. serratus Gibbes, 1845, and C. healyorum Uhen & Gingerich, 2001; colors indicate: Bartonian (bright orange circle), Early Priabonian (blue squares), Late Priabonian (brown diamonds). Numbered occurrences are specimens discussed in this study: 1, MMNS VP 130; 2, USNM 11962, USNM 16638, USNM 16639, USNM 13773, USNM 4678, USNM 4679, FMNH PM-459, TM 8501; 3, MSC 3927/AUMP 2368, MB.Ma.43248; 4, SCSM 87.195; 5, MCZ 8763. Data and map are traced from the paleobiology database. More detailed localities for 2 can be found in Gingerich 2015b. Scale bar: 10 cm. Map: Jonas W. P. Hakkens; photos: Vannessa Timmermans (Teylers Museum).
Hackl, Jürgen
6 files · 132 MB · parquet, tiffdeclared
EuroFlood is an open, cloud-native index over the JRC/Copernicus CEMS-EFAS Satellite-Derived Flood Depth Maps for Europe (Betterle & Salamon, 2025; CC-BY-4.0) - ~3,280 satellite-derived observed flood-depth maps across Europe, 2015-2024. The bundle is a sparse Cloud-Optimized GeoTIFF encoding, per pixel, the set of flood events that inundated it, plus a combo_id -sorted GeoParquet dictionary and a small events table. Query by region and time via HTTP range reads (GDAL /vsicurl + DuckDB) to retrieve matching events, then fetch only the source depth rasters needed. Built with the open-source EuroFlood Python package ( pip install euroflood ).
Vera, Lourdes
31 files · 4.6 MB · csv, geojson, pngdeclared
Data, analysis scripts, and derived outputs reproducing the setback analysis between occupied buildings and active oil and gas wells in Karnes County, Texas, using public data (Texas Railroad Commission well locations; FEMA/ORNL USA Structures building footprints; and U.S. Census TIGER/Line block groups and 2020-2024 American Community Survey). The pipeline runs offline in Python (geopandas) and reproduces every reported distance, summary statistic, table, and figure in the associated article. This package reproduces and updates Chapter 3 of the author's doctoral dissertation: Vera, Lourdes (2022), "Environmental Data Justice in Action: Civically Valid Air Monitoring Near Oil and Gas Extraction in the Eagle Ford Shale Play," Ph.D. dissertation, Northeastern University, Boston, MA.
Blidon, Marianne · La Fondation Des Treilles
1 files · 65 KB · pngdeclared
The RESIST Project Team has been selected to take part in a one-week (June 1-June 6, 2026) seminar hosted by the Fondation des Treilles in France. Organised by Marianne Blidon, the event titled Défis démocratiques face aux politiques "anti-genre" en Europe : analyse et perspectives critique (Democratic Challenges in the Face of "Anti-Gender" Policies in Europe: Analysis and Critical Perspectives) brought together RESIST co-leads, early-career researchers, and activist collaborators to exchange ideas, strategies, and work on related writing projects
Freude, Leon
1 files · 445 KB · pngdeclared
During a talk at the Barcelona Supercomputing Center as part of International LGBTQIA+ Pride Day, Leon Freude examined the contemporary rise of anti-gender movements that challenge feminist, trans, and LGBTQI+ rights. Drawing on qualitative research with more than thirty activists conducted as part of the RESIST Project's case study on Spain - Catalonia and the Basque Country, led by Maria Rodó-Zárate, the talk explored how these mobilizations are experienced in everyday life, activist spaces, and the public sphere, highlighting both their emotional and political impacts and the practices of resistance, care, and solidarity that emerge in response. The presentation situated these developments within a broader transnational context, linking current struggles to the historical fight for LGBTQI+ rights since Stonewall.
Zhang, Yunwei
6 files · 40 GB · hdf5, zipdeclared
Files related to INVNET, a deep learning model for surface wave dispersion spectrum inversion in geophysics.
Anarita, Adriana · Rac, Sri
7 files · 20 MB · png, xlsxdeclared
Sustainable hospitality environments increasingly require experiential design approaches that extend beyond visually dominant cultural representation. Multisensory design methods are evident in Indonesian culture, yet representation remains limited to visual dominance. This study presents the Sensory Activation Ratio (SAR) as a new metric to assess how effectively multisensory design can involve local communities and improve job opportunities, in line with Sustainable Development Goals 8 and 11. A literature review and an online travel agent (OTA) review complement the research, which employs a qualitative autoethnographic method. The case study was conducted in a five-star thematic hotel in Yogyakarta, Indonesia. The results show that senses such as sight, smell, touch, sound, taste, and movement are consistently engaged in hotel spaces, helping strengthen cultural identity and create a rich heritage experience for guests. The study proposes that multisensory cultural design contributes to sustainability in three interconnected ways: sustaining intangible cultural heritage through everyday spatial experience, activating local supply chains and creative labor through culturally embedded service elements, and encouraging localized resource use within hospitality design systems. These findings suggest that multisensory design can serve as a strategic framework for developing culturally grounded, socially sustainable hospitality environments.
Tiskus, Edvinas · Tiškuvienė, Rūta · Bučas, Martynas · et al.
37 files · 1.6 GB · hdf5, tiff, torchdeclared
This record contains the labeled data, trained models, and analysis code supporting the article "Comparing a Vision Foundation Model (DINOv3) and a Task-Specific U-Net for Mapping Emergent Aquatic Vegetation from Fused UAV Multispectral and LiDAR Data" (Remote Sensing in Ecology and Conservation). Contents: - masks/ : georeferenced ground-truth segmentation masks (five classes: aquatic vegetation, water, sand, other objects, background), aligned to the fused UAV orthomosaics and spanning 13 sites across nine Lithuanian waterbodies surveyed between May and August 2024. - models/ : the two final trained segmentation models, a Keras/HDF5 U-Net and a PyTorch DINOv3 model. - code/ : Python scripts for training, evaluation, the label-efficiency experiment, and full-scene prediction. The fused 9-band orthomosaics (five-band multispectral, RGB, and a LiDAR canopy height model; approximately 62 GB) are archived separately because of their size and are available from the corresponding author on request. The DINOv3 SAT-493M pretrained backbone is distributed by Meta under its own license and is not redistributed here; obtain it from the official DINOv3 release.
Hakkens, Jonas W. P. · Reumer, Jelle W. F. · Schulp, Anne S.
1 files · 128 KB · pngdeclared
FIG. 15. — Ribs and sternal elements of Zygorhiza kochii (Reichenbach in Carus & Koch, 1847), specimen TM 8501: A, 12th rib; B, distal shaft of anterior rib; C, first rib; D, manubrium; E, mesosternal segment. Scale bar: 10 cm. Figure: Jonas W. P. Hakkens.