cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00072.00005
title: A knowledge-driven and data-driven integration of the Ko-rean auto-pronunciation method
title: 知识与数据驱动相融合的朝鲜语自动标音方法研究

description: In the data-driven method, the decision tree algorithm is easy to understand, and the mechanism is highly interpretable. The resulting model is easy to visualize, and non experts are also easy to understand. Compared with other algorithms, the decision tree algorithm has a relatively small amount of computation and is easy to incorporate knowledge rules, and can handle continuous fields. Other technologies often require data generalization, such as removing redundant or blank attributes, while the decision tree algorithm does not need complex data preprocessing, such as normalization or standardization, and can handle a large number of data in a relatively short time with good results. In the initial stage of building the decision tree, the Gini index of all features is calculated, and the feature with the smallest Gini index is selected as the root node. According to the optimal cut-off point of the root node, it is divided into two forks and the corresponding data set, and then continue to calculate the Gini index of other features along the leftmost branch, and then select an optimal feature as the node of the fork, and so on. When all the calculations of this branch node are completed or cannot continue to grow, it will return to the previous unfinished branch to continue the growth of the tree, Until all forks have completed node calculation or the tree cannot continue to grow downward. 
description: In the data-driven method, the decision tree algorithm is easy to understand, and the mechanism is highly interpretable. The resulting model is easy to visualize, and non experts are also easy to understand. Compared with other algorithms, the decision tree algorithm has a relatively small amount of computation and is easy to incorporate knowledge rules, and can handle continuous fields. Other technologies often require data generalization, such as removing redundant or blank attributes, while the decision tree algorithm does not need complex data preprocessing, such as normalization or standardization, and can handle a large number of data in a relatively short time with good results. In the initial stage of building the decision tree, the Gini index of all features is calculated, and the feature with the smallest Gini index is selected as the root node. According to the optimal cut-off point of the root node, it is divided into two forks and the corresponding data set, and then continue to calculate the Gini index of other features along the leftmost branch, and then select an optimal feature as the node of the fork, and so on. When all the calculations of this branch node are completed or cannot continue to grow, it will return to the previous unfinished branch to continue the growth of the tree, Until all forks have completed node calculation or the tree cannot continue to grow downward.
DOI: 10.5281/zenodo.18030072
title: Irreversible Time, Reversible Mass: A Two-Layer Cyclic Cosmology from G-MaTT

description: Abstract  

We propose a singularity-free cyclic cosmology in which *only the mass torsional field* \(\hat{M}_\mu\) reverses, while *time itself remains irreversible*. In Generalized Mass as Twisted Time (G-MaTT), time emerges from cumulative phase branching in the primordial potential \(\mathcal{M}_\mu\), whereas mass and geometry arise from the torsional coherence of \(\hat{M}_\mu\)-braids. Desynchronization above thresholds \(v > c\sqrt{\alpha/w}\) or \(\omega > \Omega_0\sqrt{\alpha}/(2\pi w)\) produces dark matter and dark energy — but crucially, *re-locking is possible* when conditions reverse, restoring coherence without erasing phase history. We show that total entropy \(S = S_{\text{branch}} + S_{\text{sync}}\) increases monotonically (via irreversible branching), while the apparent low-entropy reset arises from oscillatory synchronization entropy. The universe thus recomposes — not repeats — across cycles. Predictions include: (i) CMB phase-gradient non-Gaussianity, (ii) a slowly decreasing cosmological constant across cycles, and (iii) torsion-echo gravitational wave bursts. This resolves the entropy problem of cyclic cosmologies without fine-tuning or new physics.
DOI: 10.5281/zenodo.18030073
title: Irreversible Time, Reversible Mass: A Two-Layer Cyclic Cosmology from G-MaTT

description: Abstract  

We propose a singularity-free cyclic cosmology in which *only the mass torsional field* \(\hat{M}_\mu\) reverses, while *time itself remains irreversible*. In Generalized Mass as Twisted Time (G-MaTT), time emerges from cumulative phase branching in the primordial potential \(\mathcal{M}_\mu\), whereas mass and geometry arise from the torsional coherence of \(\hat{M}_\mu\)-braids. Desynchronization above thresholds \(v > c\sqrt{\alpha/w}\) or \(\omega > \Omega_0\sqrt{\alpha}/(2\pi w)\) produces dark matter and dark energy — but crucially, *re-locking is possible* when conditions reverse, restoring coherence without erasing phase history. We show that total entropy \(S = S_{\text{branch}} + S_{\text{sync}}\) increases monotonically (via irreversible branching), while the apparent low-entropy reset arises from oscillatory synchronization entropy. The universe thus recomposes — not repeats — across cycles. Predictions include: (i) CMB phase-gradient non-Gaussianity, (ii) a slowly decreasing cosmological constant across cycles, and (iii) torsion-echo gravitational wave bursts. This resolves the entropy problem of cyclic cosmologies without fine-tuning or new physics.
DOI: 10.5281/zenodo.18028185
title: Nonlinear mixed-effect models and tailored parametrization schemes enables integration of single cell and bulk data

description: The two .zip files contain the optimized results that are needed to re-run all the analysis in the manuscript "Nonlinear mixed-effect models and tailored parametrization schemes enables integration of single cell and bulk data". Please combine them with the github repository for re-running.
DOI: 10.5281/zenodo.18028184
title: Nonlinear mixed-effect models and tailored parametrization schemes enables integration of single cell and bulk data

description: The two .zip files contain the optimized results that are needed to re-run all the analysis in the manuscript "Nonlinear mixed-effect models and tailored parametrization schemes enables integration of single cell and bulk data". Please combine them with the github repository for re-running.
DOI: 10.15468/dl.mxhcbn
title: Occurrence Download

description: A dataset containing 3749212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae, Undaria pinnatifida, Lindavia intermedia)",
 "Country is New Zealand",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 0",
 "DecimalLongitude is greater than or equal to -180",
 "DecimalLatitude is greater than or equal to -90",
 {
 "not" : {
 "or" : [
 "Issue is Zero coordinate",
 "Issue is Coordinate out of range",
 "Issue is Country coordinate mismatch"
 ]
 }
 }
 ]
}

 The dataset includes 3749212 records from 308 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063681-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a638re
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bolitoglossa carri"
 ]
}

 The dataset includes 69 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063689-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30938534
title: Spatial metabolomics data of brain slices from 4T1 Pri mice, pre-LM mice and post-LM mice

description: <br>The extraction, detection, and quantitative analysis of metabolites in the samples were performed by Wuhan Metware Biotechnology Co., Ltd. Freshly dissected brains were collected from 4T1 Pri mice, pre-LM mice and post-LM mice, frozen in liquid nitrogen and embedded in 2% CMC. Frozen brains were sectioned to a thickness of 10 μm using a Leica CM1950 cryostat (Leica Microsystems GmbH, Wetzlar, Germany) and tissue sections were placed onto ITO-coated electrically conductive slides. 15 mg/mL DHB (2,5-dihydroxybenzoic acid) in acetonitrile: ddH<sub>2</sub>O (9:1) were used for matrix coating and sprayed onto the glass slides by the TM-Sprayer (HTX Technologies). The MALDI-MSI experiments were performed using a TimsTOF fleX MS system (Bruker Daltonics, Germany) in positive mode. Laser power was set to 80% with a frequency of 10 kHz. The MALDI mass spectra data was acquired over a range of 50-1300 Da with 50 mm spatial resolution. Afterward, the tissue sections were stained with hematoxylin and eosin (H&E) for spatial localization of the region of interest. The mass spectrometry image data underwent preprocessing by SCiLS Lab 2023c (Bruker Daltonik GmbH). Metabolite content data were processed using UV (unit variance scaling) and visualized using R package.
DOI: 10.6084/m9.figshare.30938534.v1
title: Spatial metabolomics data of brain slices from 4T1 Pri mice, pre-LM mice and post-LM mice

description: <br>The extraction, detection, and quantitative analysis of metabolites in the samples were performed by Wuhan Metware Biotechnology Co., Ltd. Freshly dissected brains were collected from 4T1 Pri mice, pre-LM mice and post-LM mice, frozen in liquid nitrogen and embedded in 2% CMC. Frozen brains were sectioned to a thickness of 10 μm using a Leica CM1950 cryostat (Leica Microsystems GmbH, Wetzlar, Germany) and tissue sections were placed onto ITO-coated electrically conductive slides. 15 mg/mL DHB (2,5-dihydroxybenzoic acid) in acetonitrile: ddH<sub>2</sub>O (9:1) were used for matrix coating and sprayed onto the glass slides by the TM-Sprayer (HTX Technologies). The MALDI-MSI experiments were performed using a TimsTOF fleX MS system (Bruker Daltonics, Germany) in positive mode. Laser power was set to 80% with a frequency of 10 kHz. The MALDI mass spectra data was acquired over a range of 50-1300 Da with 50 mm spatial resolution. Afterward, the tissue sections were stained with hematoxylin and eosin (H&E) for spatial localization of the region of interest. The mass spectrometry image data underwent preprocessing by SCiLS Lab 2023c (Bruker Daltonik GmbH). Metabolite content data were processed using UV (unit variance scaling) and visualized using R package.
DOI: 10.5281/zenodo.15430018
title: AIJ UWE Benchmark Dataset – Case I (CubeC): Wind Tunnel Experiment for Flow and Dispersion around a Cubic Building Model

description: This dataset provides wind tunnel measurement results of wind velocity and gas concentration around an isolated cubic building model. The data were collected by AIST to validate the DiMCFD (Diffusion Model with CFD) model and includes high-resolution spatial measurements on multiple planes.
DOI: 10.5281/zenodo.15430019
title: AIJ UWE Benchmark Dataset – Case I (CubeC): Wind Tunnel Experiment for Flow and Dispersion around a Cubic Building Model

description: This dataset provides wind tunnel measurement results of wind velocity and gas concentration around an isolated cubic building model. The data were collected by AIST to validate the DiMCFD (Diffusion Model with CFD) model and includes high-resolution spatial measurements on multiple planes.
DOI: 10.34740/kaggle/dsv/14265395
title: World Weather Repository ( Daily Updating )
DOI: 10.5281/zenodo.18030065
title: ex scalar corona protein list

description: This dataset contains raw and processed LC–MS/MS proteomics data generated from the analysis of exscalar particles. Proteins associated with isolated  particles were extracted, enzymatically digested, and analyzed using nano–liquid chromatography coupled to tandem mass spectrometry (LC–MS/MS). The data include raw mass spectrometry files and corresponding processed protein identification results, enabling reproducibility and reanalysis . The dataset is provided under restricted access for peer review and will be made publicly available upon publication.
DOI: 10.5281/zenodo.18030064
title: ex scalar corona protein list

description: This dataset contains raw and processed LC–MS/MS proteomics data generated from the analysis of exscalar particles. Proteins associated with isolated  particles were extracted, enzymatically digested, and analyzed using nano–liquid chromatography coupled to tandem mass spectrometry (LC–MS/MS). The data include raw mass spectrometry files and corresponding processed protein identification results, enabling reproducibility and reanalysis . The dataset is provided under restricted access for peer review and will be made publicly available upon publication.
DOI: 10.6084/m9.figshare.30938864
title: cancer-type-specific drugs based on IC50 values

description: Screening cancer-type-specific drugs
DOI: 10.6084/m9.figshare.30938864.v1
title: cancer-type-specific drugs based on IC50 values

description: Screening cancer-type-specific drugs
DOI: 10.15468/dl.udwemb
title: Occurrence Download

description: A dataset containing 314008 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao)",
 "Geometry POLYGON((-245.71754 25.38601,-242.17213 25.38601,-242.17213 29.66578,-245.71754 29.66578,-245.71754 25.38601))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 314008 records from 422 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063674-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.16904/envidat.233
title: High resolution static data for WRF over Switzerland

description: Static input data (topography, landuse and soiltype) for the WRF preprocessing system WPS is provided for Switzerland and its neighboring countries between 45-49 N and 4-12 E. The data is provided at a resolution of 1 s. Topography is based on the Aster dataset, while landuse is extracted from the Corine landuse dataset. Soil type is set to silty clay loam for the entire domain. This static input data is valid for WRF and CRYOWRF.
description: Resource Title: Documentation
 Size: 166718 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/9d3db35e-eb6b-4e7f-a88e-733c363133c9/resource/793e2a23-a8a5-4bbc-8497-d00eb2b9f28a/download/documentation-wrf_static_data_for_alps.pdf
 Description: Documentation of the dataset
description: Resource Title: topo_1s
 Size: 458474836 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/9d3db35e-eb6b-4e7f-a88e-733c363133c9/resource/ab9f6e89-9101-4250-bb4c-b8e5e8e2363f/download/topo_1s.zip
 Description: Static data for WRF - Topography
description: Resource Title: landuse_1s
 Size: 21215915 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/9d3db35e-eb6b-4e7f-a88e-733c363133c9/resource/e3ef8012-d73d-4ad4-b51e-b327f5a6bcf9/download/landuse_1s.zip
 Description: Static data for WRF - Landuse
description: Resource Title: soiltype_top_1s
 Size: 403644 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/9d3db35e-eb6b-4e7f-a88e-733c363133c9/resource/33bc67ca-6ee6-440e-985b-46ce84e724b0/download/soiltype_top_1s.zip
 Description: Static data for WRF - Soiltype top
description: Resource Title: soiltype_bot_1s
 Size: 403644 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/9d3db35e-eb6b-4e7f-a88e-733c363133c9/resource/c63e5b14-d5b7-45f5-ba0d-57bc72394e0e/download/soiltype_bot_1s.zip
 Description: Static data for WRF - Soiltype bottom
description: Resource Title: GEOGRID.TBL-aster-121-1
 Size: 15835 bytes
 Format: .tbl-aster-121_1
 URL: https://www.envidat.ch/dataset/9d3db35e-eb6b-4e7f-a88e-733c363133c9/resource/246daa44-7f9a-4666-9aba-e8dbc244c148/download/geogrid.tbl-aster-121_1
 Description: Example GEOGRID.TBL to use with the 1s static data;
Note about naming:
* 121 -&gt; 1-2-1 topography smoothing applied to dataset
* 1 -&gt; one smoothing cycle applied to the data (needs to be changed depending on the chosen resolution to avoid too steep slope angles)
description: Resource Title: namelist.wps
 Size: 1411 bytes
 Format: .wps
 URL: https://www.envidat.ch/dataset/9d3db35e-eb6b-4e7f-a88e-733c363133c9/resource/2b73cbec-bfba-4788-bfd8-5cf6dae371dd/download/namelist.wps
 Description: Example namelist.wps to use with the 1s static data
DOI: 10.16904/envidat.188
title: Phosphatase leaching

description: Data on phosphomonoesterase activity in forest topsoil leachates and soil extracts as well as P forms in the leachate. 
Leachate samples were taken in Feb./Mar. and July 2019 with zero-tension lysimeters at two sites in Germany 
of contrasting phosphorus availability from the litter, the Oe/Oa, and the A horizon in beech forest. 
Soil samples were taken in July 2019. For methods see publication.
description: Resource Title: Data_Fetzer_Phosphatase_leaching.xls
 Size: 51823 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/879f61b8-e01e-45e4-9ab5-b3a3d77d0b70/resource/d556ee65-9d25-44a7-9446-5fbc3b0fc256/download/data_fetzer_phosphatase_leaching.xlsx
 Description: Data on phosphomonoesterase activity in forest topsoil leachates and soil extracts as well as P forms in the leachate. 
Leachate samples were taken in Feb./Mar. and July 2019 with zero-tension lysimeters at two sites in Germany 
of contrasting phosphorus availability from the litter, the Oe/Oa, and the A horizon in beech forest. 
Soil samples were taken in July 2020. For methods see publication.
DOI: 10.16904/envidat.234
title: Phosphorus and nitrogen leaching from beech forest soils

description: Data on dissolved organic and inorganic phosphorus and nitrogen concentrations in leachates and their corresponding
fluxes from the litter layer, the Oe/Oa horizon, and the A horizon of two German beech forest sites.
Leachate samples were taken in April 2018, July 2018, October 2018, Feb./Mar. 2019, and July 2019 
with zero-tension lysimeters after artificial irrigation. Soil samples were taken in July 2019. 
For more details please refer to the publication.
description: Resource Title: NxP_leaching
 Size: 135949 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/17fb5789-1d80-41a9-b48c-82a609100755/resource/17b399a5-5ca0-41f2-be3b-88b47dc191df/download/data_fetzer_nxp_leaching.xlsx
 Description:
DOI: 10.16904/envidat.227
title: Monitoring of ash trees as part of the Intercantonal Forest Observation Programme

description: In 2013, the Institute for Applied Plant Biology (IAP) started a monitoring programme to study the development and the spatial variation of the ash dieback disease with the aim to find some partially resistant European ash trees (Fraxinus excelsior).
We collaborate as co-authors for the publication: Spread and Severity of Ash Dieback in Switzerland - Tree Characteristics and Landscape Features Explain Varying Mortality Probability (Klesse et al. 2021 in frontiers)
description: Resource Title: Monitoring of ash trees as part of the Intercantonal Forest Observation Programme
 Size: 333871 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/70f94ee3-e03d-43bc-8171-2fa119925610/resource/2c0e6f41-25eb-43e2-9bc7-5173376ee8c0/download/monitoring-of-ash-trees-as-part-of-the-intercantonal-forest-observation-programme.pdf
 Description: Packgroun information on data for the publication: Spread and Severity of Ash Dieback in Switzerland – Tree Characteristics and Landscape Features Explain Varying Mortality Probability, (Klesse et al. 2021, Front. For. Glob. Change 4:645920., doi: 10.3389/ffgc.2021.645920)
DOI: 10.16904/envidat.160
title: Open Science Support at the Swiss Federal Research Institute WSL. The EnviDat Concept

description: This poster was originally created for the swissuniversities Open Science Action Plan: Kick-Off Forum, and showed to the audience on 17.10.2019. It illustrates how the environmental data portal EnviDat provides the tools for fostering Open Science and Reproducibility of scientific research at WSL. 
Supporting open science is a highly relevant user requirement for EnviDat and for implementing FAIR (Findability, Accessibility, Interoperability and Reusability) principles at dataset level.
EnviDat encourages WSL scientists to complement data publication with a complete description of research methods and the inclusion of the open source software, code or scripts used for processing the dataset or for obtaining the published results. By openly publishing open software (e.g. as Jupyter notebooks) alongside research data sets, researchers can contribute to mitigate reproducibility issues.
EnviDat also promotes and supports, where possible and practical, the publication of software as Jupyter notebooks. Jupyter notebooks provide a solution for improved documentation and interactive execution of open code in a wide range of programming languages (Python, R, Octave/Matlab, Java or Scala). These programming languages are widely used in environmental research at WSL and well supported by the Jupyter-compatible kernels. We have sucessfully interfaced EnviDat-hosted notebooks with the WSL High-Performance Computing (HPC) Linux Cluster through a JupyterHub/JuypterLab beta installation on the HPC cluster implemented in close collaboration with the WSL IT-Services.
For existing software that cannot be easily migrated to Jupyter Notebooks, the Open Science and Reproducibility is assisted by containerisation. We have proven that several Singularity containers can successfully run on WSL's HPC cluster.
Finally, the researchers can upload the data/results complemented by code (e.g. as Jupyter Notebooks, or Singularity containers) and any additional documentation in EnviDat. Consequently, they will receive a DOI for the entire dataset, which they can reference in their science paper in order to publish a more reproducible research.
_License_: This poster is released by WSL and the EnviDat team to the public domain under a Creative Commons 4.0 CC0 "No Rights Reserved" international license. You can reuse this poster in any way you want, for any purposes and without restrictions.
description: Resource Title: Open Science Support @ WSL (Poster)
 Size: 11868365 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/223a18f0-e942-4e5c-a45a-1fb6710cc388/resource/18b3cc10-65a8-462f-926c-3dcee34f0fd2/download/envidat_open_science_support_at_wsl.pdf
 Description: