cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15312716
title: Symbolic Modular Fields: A Unified Framework for Mass, Gravity, Gauge, and Quantum Behavior

description: This paper introduces a unified framework in which mass, gravity, gauge forces, and quantum uncertainty emerge from a symbolic field defined by modular resonance dynamics. In this model, particles are expressed as stable symbolic loops, forces arise from phase coherence transformations, and gravity is modeled as curvature in a symbolic field. The framework replaces quantum paradoxes and renormalization with a stable, simulation-ready structure grounded in coherence and memory.

 

The theory is supported by a full suite of symbolic simulations, cognitive modeling, and experimental predictions, including applications to neural systems, artificial intelligence, and quantum behavior. This work also underlies the architecture of Design, a symbolic AI built on the same field principles.

 

The result is a mathematically precise and conceptually elegant alternative to conventional field theories—one that bridges physics and cognition through resonance, feedback, and modular identity.
DOI: 10.15468/dl.r2f8wh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platytroctes apus Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((44.6841 -13.2744,44.9648 -13.45,44.9648 -12.0572,44.6243 -11.5921,43.9413 -11.6518,43.8001 -11.0974,43.4999 -10.8854,43.0582 -10.9337,42.804 -11.2068,42.7621 -11.9579,43.3325 -12.7962,44.5603 -12.8747,44.6841 -13.2744))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012334-250525065834625/datasets/export for details.
DOI: 10.15468/dl.w2hdvm
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Goodenia mimuloides S.Moore",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 38 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012335-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y49tj6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platytroctes apus Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((40.2542 -7.2836,40.3029 -7.1504,35.9648 -7.1504,35.9648 -16.1504,40.6365 -16.1504,41.3042 -15.0287,41.3321 -14.414,41.0824 -13.7539,41.0579 -13.1811,41.2109 -10.9003,40.7985 -9.9904,40.2764 -9.7003,39.994 -8.7002,40.4062 -7.7189,40.2542 -7.2836))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012336-250525065834625/datasets/export for details.
DOI: 10.15468/dl.a33275
title: Occurrence Download

description: A dataset containing 6238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fatoua villosa (Thunb.) Nakai)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 6238 records from 179 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012337-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/27j2zg6f5x.1
title: Cost-Efficient Repurposing of a Monolingual SMILES-Based Chemical Transformer to SELFIES

description: This repository supports the manuscript “Cost-Efficient Repurposing of a Monolingual SMILES-Based Chemical Transformer to SELFIES,” providing all necessary data, models, and code for reproducing the reported experiments and figures. It includes two core datasets (SMILES_to_SELFIES.csv and Filtered_QM9.csv) for SELFIES-based finetuning and QM9 regression, along with a zip archive (selfies_finetuned_model.zip) containing the final ChemBERTa model finetuned on SELFIES. Also provided are four Jupyter notebooks—Finetuning and Figures.ipynb, QM9 regression: SELFIES FT model.ipynb, QM9 regression: ChemBERTa-77M-MLM model.ipynb, and QM9 Regression: ChemBERTa-zinc-base-v1 model.ipynb—which illustrate the steps to generate all analysis, plots, and performance metrics. Each notebook includes code and outputs showing the end-to-end methodology, from data preparation through model evaluation.
DOI: 10.17632/27j2zg6f5x.2
title: Data and Codes for: Cost-Efficient Repurposing of a Monolingual SMILES-Based Chemical Transformer to SELFIES

description: This repository supports the manuscript “Cost-Efficient Repurposing of a Monolingual SMILES-Based Chemical Transformer to SELFIES,” providing all necessary data, models, and code for reproducing the reported experiments and figures. It includes two core datasets (SMILES_to_SELFIES.csv and Filtered_QM9.csv) for SELFIES-based finetuning and QM9 regression, along with a zip archive (selfies_finetuned_model.zip) containing the final ChemBERTa model finetuned on SELFIES.

Five Jupyter notebooks are provided: Finetuning and Figures.ipynb, QM9 regression: SELFIES FT model.ipynb, QM9 regression: ChemBERTa-77M-MLM model.ipynb, QM9 Regression: ChemBERTa-zinc-base-v1 model.ipynb, and Finetuning on Benchmark Datasets.ipynb. The last of these implements additional finetuning and performance evaluation of the SELFIES-repurposed model on three standard benchmark datasets: ESOL, FreeSolv, and Lipophilicity. Each notebook illustrates the full methodology, from data preparation through model training and evaluation.
DOI: 10.17632/27j2zg6f5x.3
title: Data and Codes for: Cost-Efficient Repurposing of a Monolingual SMILES-Based Chemical Transformer to SELFIES

description: This repository supports the manuscript “Cost-Efficient Repurposing of a Monolingual SMILES-Based Chemical Transformer to SELFIES,” providing all necessary data, models, and code for reproducing the reported experiments and figures. It includes two core datasets (SMILES_to_SELFIES.csv and Filtered_QM9.csv) for SELFIES-based domain adaptation and QM9 regression, along with a zip archive (selfies_finetuned_model.zip) containing the final domain-adapted model.

Five Jupyter notebooks are provided: Domain Adaptation and Figures.ipynb, QM9 regression: SELFIES DA model.ipynb, QM9 regression: ChemBERTa-77M-MLM model.ipynb, QM9 Regression: ChemBERTa-zinc-base-v1 model.ipynb, and Finetuning on Benchmark Datasets.ipynb. The last of these implements additional finetuning and performance evaluation of the SELFIES-repurposed model on three standard benchmark datasets: ESOL, FreeSolv, and Lipophilicity. Each notebook illustrates the full methodology, from data preparation through model training and evaluation.
DOI: 10.17632/27j2zg6f5x.4
title: Data and Codes for: Domain adaptation of a SMILES chemical transformer to SELFIES with limited computational resources

description: This repository supports the manuscript “Domain adaptation of a SMILES chemical transformer to SELFIES with limited computational resources”, providing all necessary data, models, and code for reproducing the reported experiments and figures. It includes two core datasets (SMILES_to_SELFIES.csv and Filtered_QM9.csv) for SELFIES-based domain adaptation and QM9 regression, along with a zip archive (selfies_finetuned_model.zip) containing the final domain-adapted model.

Five Jupyter notebooks are provided: Domain Adaptation and Figures.ipynb, QM9 regression: SELFIES DA model.ipynb, QM9 regression: ChemBERTa-77M-MLM model.ipynb, QM9 Regression: ChemBERTa-zinc-base-v1 model.ipynb, and Finetuning on Benchmark Datasets.ipynb. The last of these implements additional finetuning and performance evaluation of the SELFIES-repurposed model on three standard benchmark datasets: ESOL, FreeSolv, and Lipophilicity. Each notebook illustrates the full methodology, from data preparation through model training and evaluation.
DOI: 10.15468/dl.avbcwr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Winteria telescopa Brauer, 1901",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((36.2225 24.1647,35.9648 24.4806,35.9648 19.8496,37.7519 19.8496,37.7005 20.2556,37.7935 21.209,37.3891 21.7756,37.3588 22.2459,36.8499 22.7968,36.6611 23.2461,36.1736 23.4033,36.31 23.7463,36.2225 24.1647))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010027-250525065834625/datasets/export for details.
DOI: 10.17632/fh2w9j7gbw.1
title: The Creativity of AI

description: This paper investigates how humans evaluate the creativity of AI-generated artworks in comparison to the human artworks from which they were derived. Using a novel experimental framework, we commissioned original artworks across three distinct art styles: animal charcoal drawings, minimalist commercial logos, and watercolor landscapes. We then prompted Stable Diffusion to produce artworks based on the commissioned pieces. Participants evaluated the creativity of both human- and AI-generated artworks by assigning a grade between 0 and 10, and then bid for these drawings in an auction to examine how monetary costs influenced their choices. Participants then evaluated the creativity of a sample of selected AI-generated artworks to investigate the factors that drive perceptions of creativity. Results show that AI-generated drawings are consistently rated as more creative and elicit higher bids in the landscape treatment. The perceived creativity of AI-generated drawings is driven by detailed features, scene construction, and color use, while errors do not diminish perceived creativity and may even enhance it. These findings suggest that AI-generated artwork is preferred by participants due to its higher aesthetic appeal.
DOI: 10.15468/dl.gg78mv
title: Occurrence Download

description: A dataset containing 83189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pastinaca sativa L.",
 "Country is France"
 ]
}

 The dataset includes 83189 records from 1137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007393-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4jpntn
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pastinaca sativa L.",
 "Country is North Macedonia"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007418-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2mvau7
title: Occurrence Download

description: A dataset containing 6228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is United States of America",
 "DatasetKey is NMNH Extant Specimen Records (USNM, US)",
 "Geometry POLYGON((-80.67461 37.27727,-80.36766 37.27727,-80.36766 37.49334,-80.67461 37.49334,-80.67461 37.27727))",
 "TaxonKey is Plethodon cinereus (Green, 1818)"
 ]
}

 The dataset includes 6228 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007417-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15771567
title: Particle shape and particle size distribution, remote sensing lidar and in-situ temperature and humidity data from DOME-C, Antarctica during austral summer 2023/2024

description: Measurement data recorded during the austral summer of 2023/2024 at Concordia Station, Dome C, Antarctica, (75°S, 123°E) of

1) In situ data from the PPD-2K instrument providing particle concentration, size distribution and information of the particle sphericity (particle phase), shape and crystal complexity from images of the forward direction diffraction patterns recorded at ground level (Dome C PPD-2K.rar). This is updated version 2.

2) Automatic depolarization LIDAR data including height, backscattering signal and linear depolarisation ratio between 20 m and 7000 m (lidar data.rar).

3) Temperature and humidity measurements taken at heights of 3 m, 18 m and 42 m above ground level on the measurement tower at Dome C, Antarctica (temperature_humidity.rar).

Version 3: Pollution flagging is now improved.
description: Direct observations of small atmospheric ice crystals (< 100 µm) on the Antarctic Plateau are scarce. However, they are commonly found in this region, which frequently experiences cirrus-level temperatures, even during the warmest part of the year. During the austral summer of 2023/2024, the Particle Phase Discriminator (PPD-2K) was deployed at DOME-C, Antarctica. This instrument was used to investigate the microphysical and optical characteristics of individual boundary layer ice particles with spherical equivalent diameters ranging from 11 to 150 µm. Measurements included particle concentration, size distribution, and forward light scattering patterns, which provide insights into particle sphericity (phase), shape, and structural complexity. Tropospheric depolarisation lidar data and temperature and humidity data from a 42 m measurement tower are used to analyse the atmospheric conditions.
DOI: 10.5281/zenodo.17616458
title: Particle shape and particle size distribution, remote sensing lidar and in-situ temperature and humidity data from DOME-C, Antarctica during austral summer 2023/2024

description: Measurement data recorded during the austral summer of 2023/2024 at Concordia Station, Dome C, Antarctica, (75°S, 123°E) of

1) In situ data from the PPD-2K instrument providing particle concentration, size distribution and information of the particle sphericity (particle phase), shape and crystal complexity from images of the forward direction diffraction patterns recorded at ground level (Dome C PPD-2K.rar). This is updated version 2.

2) Automatic depolarization LIDAR data including height, backscattering signal and linear depolarisation ratio between 20 m and 7000 m (lidar data.rar).

3) Temperature and humidity measurements taken at heights of 3 m, 18 m and 42 m above ground level on the measurement tower at Dome C, Antarctica (temperature_humidity.rar).

Version 3: Pollution flagging is now improved.
description: Direct observations of small atmospheric ice crystals (< 100 µm) on the Antarctic Plateau are scarce. However, they are commonly found in this region, which frequently experiences cirrus-level temperatures, even during the warmest part of the year. During the austral summer of 2023/2024, the Particle Phase Discriminator (PPD-2K) was deployed at DOME-C, Antarctica. This instrument was used to investigate the microphysical and optical characteristics of individual boundary layer ice particles with spherical equivalent diameters ranging from 11 to 150 µm. Measurements included particle concentration, size distribution, and forward light scattering patterns, which provide insights into particle sphericity (phase), shape, and structural complexity. Tropospheric depolarisation lidar data and temperature and humidity data from a 42 m measurement tower are used to analyse the atmospheric conditions.
DOI: 10.15468/dl.6jx7s7
title: Occurrence Download

description: A dataset containing 121353 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mikania"
 ]
}

 The dataset includes 121353 records from 881 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035308-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u92pmn
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.1688 24.89913, -109.0188 24.89913, -109.0188 25.04913, -109.1688 25.04913, -109.1688 24.89913))"
 ]
}

 The dataset includes 31 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035364-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17616920
title: Underwater images collected by  Scuba diving in Nosy-Velomitahy, Madagascar - 2023-05-03

description: This dataset was collected by  Scuba diving in Nosy-Velomitahy, Madagascar - 2023-05-03. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
DOI: 10.15468/dl.gpkmhv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Notropis buccatus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035365-251025141854904/datasets/export for details.
DOI: 10.6084/m9.figshare.30627386
title: Supplementary Material for: Does oXiris Matter? A Comparative Outcome Study in CRRT-Treated Septic ICU Patients

description: Background/Objectives: Sepsis and septic shock frequently lead to acute kidney injury (AKI) and the need for continuous renal replacement therapy (CRRT). The oXiris hemofilter has cytokine- and endotoxin-adsorptive properties that may improve outcomes, but evidence remains inconclusive. This study compared the clinical outcomes of septic intensive care unit (ICU) patients treated with CRRT using oXiris versus standard filters. Methods: We conducted a retrospective observational study at a tertiary ICU in Istanbul between January 2019 and June 2024. Adult septic patients requiring CRRT within 24 hours of ICU admission were included. Patients were treated with either oXiris or standard CRRT filters (M-100 / M-150) for ≥ 16 hours. The primary endpoint was ICU mortality; secondary endpoints included ventilator-free days (VFD), ICU length of stay, and trends in inflammatory and biochemical markers. Results: A total of 360 patients were analyzed (133 oXiris, 227 standard filters). Despite higher baseline Sequential Organ Failure Assessment (SOFA) scores, C-reactive protein (CRP), procalcitonin (PCT), and lactate in the oXiris group, ICU survival was significantly higher (61.7% vs. 48.9%, p = 0.019). After adjustment, oXiris use remained independently associated with improved survival (OR 1.68, 95% CI 1.09–2.60, p = 0.020). Total CRRT duration was markedly shorter in the oXiris group (56.4 vs. 107.4 hours, p &lt; 0.001). VFD were similar between groups. Inflammatory markers (CRP, PCT) remained elevated in oXiris patients through day 5, while hemodynamic stabilization (lactate decline, norepinephrine reduction) was more pronounced. Platelet counts decreased in both groups without recovery. Conclusions: Our study demonstrated that patients with sepsis treated using the oXiris filter exhibited significantly higher ICU survival rates, despite higher mechanical ventilation duration and ICU length of stay. However, persistent elevations in CRP and PCT, along with thrombocytopenia, suggest that these markers may not fully reflect therapeutic response. While oXiris use was associated with reduced ICU mortality, further randomized trials are needed to confirm its efficacy and account for potential confounders.