cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.c9rg9g
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Atheris mabuensis Branch & Bayliss, 2009)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008388-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wuj6j
title: Occurrence Download

description: A dataset containing 1320228 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anacardiaceae"
 ]
}

 The dataset includes 1320228 records from 2828 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008302-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8qerf
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-85.14723 -3.25579,-48.85277 -3.25579,-48.85277 11.25579,-85.14723 11.25579,-85.14723 -3.25579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dulacia tepuiensis"
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013760-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9aw63r
title: Occurrence Download

description: A dataset containing 23814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "StateProvince is Guangdong",
 "TaxonKey is Tracheophyta",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 23814 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013761-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34894/swclwe
title: Uncovering Internal Prediction Mechanisms of Transformer-Based Chemical Foundation Models

description: Supervised deep learning has become a standard approach to
deliver competitive predictive tools that allow relating the structure
of molecules and their physicochemical features to properties such as
binding to protein targets, performance as electronic materials, and
reactivity. However, efforts to understand how these models learn and
how specific predictions can be explained are still limited in
chemistry, which hinders trust in these predictions. To overcome both
the current widespread approach of considering supervised deep learning
models as black boxes and the limitations of explainable deep learning
based on feature attribution, we introduce two general methods from the
field of mechanistic interpretability to molecular property prediction.
Specifically, we leverage ablation and adapt existing techniques into
the regression lens to inspect model predictions of the
Transformer-based ChemBERTa foundation model. Our results for 3
ChemBERTa-based models finetuned on distinct datasets allow us to
propose the internal mechanisms operable within each of the
corresponding model layers that lead to the final predictions. Our
results are a stepping stone towards more trustworthy deep learning
models in the molecular domain.
DOI: 10.5281/zenodo.15727368
title: Dual Scan head approach for in-situ defect detection in laser powder bed fusion of metals - Dataset

description: This HDF5-dataset contains thermographic data from a study on in-situ defect detection in the Laser Powder Bed Fusion of Metals (PBF-LB/M) process. The data was collected using a novel experimental setup named Synchronized Path Infrared Thermography (SPIT), which employs a dual scan head configuration. One scan head directs the processing laser, while the second scan head positions the measurement field of an infrared (IR) camera. This setup allows for the precise analysis of the cooling behavior of the material decoupled from the immediate laser-material interaction zone.The experiments were conducted on pre-fabricated stainless steel (EOS StainlessSteel PH1, DIN 14540) samples with embedded, cylindrical subsurface defects of varying diameters.  A single layer of metal powder was applied to these samples and then fused by the laser. The dataset includes a series of measurements where process parameters, specifically the volumetric energy density and the laser scanning speed, were systematically varied to assess their influence on defect detection reliability.

The provided data consists of raw thermographic recordings, which capture the surface temperature distribution in the heat-affected zone behind the melt pool.  These recordings can be used to identify localized areas of elevated temperature caused by the insulating effect of the subsurface defects, which impede heat transfer into the substrate.  This dataset is valuable for researchers working on process monitoring, defect detection algorithms, and the validation of thermal simulations in additive manufacturing.
DOI: 10.5281/zenodo.15727369
title: Dual Scan head approach for in-situ defect detection in laser powder bed fusion of metals - Dataset

description: This HDF5-dataset contains thermographic data from a study on in-situ defect detection in the Laser Powder Bed Fusion of Metals (PBF-LB/M) process. The data was collected using a novel experimental setup named Synchronized Path Infrared Thermography (SPIT), which employs a dual scan head configuration. One scan head directs the processing laser, while the second scan head positions the measurement field of an infrared (IR) camera. This setup allows for the precise analysis of the cooling behavior of the material decoupled from the immediate laser-material interaction zone.The experiments were conducted on pre-fabricated stainless steel (EOS StainlessSteel PH1, DIN 14540) samples with embedded, cylindrical subsurface defects of varying diameters.  A single layer of metal powder was applied to these samples and then fused by the laser. The dataset includes a series of measurements where process parameters, specifically the volumetric energy density and the laser scanning speed, were systematically varied to assess their influence on defect detection reliability.

The provided data consists of raw thermographic recordings, which capture the surface temperature distribution in the heat-affected zone behind the melt pool.  These recordings can be used to identify localized areas of elevated temperature caused by the insulating effect of the subsurface defects, which impede heat transfer into the substrate.  This dataset is valuable for researchers working on process monitoring, defect detection algorithms, and the validation of thermal simulations in additive manufacturing.
DOI: 10.5281/zenodo.17747682
title: AI4AGRI Multi-spectral fractal images

description: The dataset contains 3 multi-spectral fractal images with 7 spectral bands and a spatial resolution of 256 × 256 pixels, of varying fractal complexity, in Matlab format (.dat file extension). The images were generated according to a probabilistic model with known properties (i.e. Hurst exponent). Please refer to the following scientific article for the details on the generation of the multi-spectral fractal images and their estimated fractal complexity: M. Ivanovici, A Multi-Spectral Fractal Image Model and Its Associated Fractal Dimension Estimator. Fractal and Fractional 2023, 7, 238. https://doi.org/10.3390/fractalfract7030238
DOI: 10.5281/zenodo.17747681
title: AI4AGRI Multi-spectral fractal images

description: The dataset contains 3 multi-spectral fractal images with 7 spectral bands and a spatial resolution of 256 × 256 pixels, of varying fractal complexity, in Matlab format (.dat file extension). The images were generated according to a probabilistic model with known properties (i.e. Hurst exponent). Please refer to the following scientific article for the details on the generation of the multi-spectral fractal images and their estimated fractal complexity: M. Ivanovici, A Multi-Spectral Fractal Image Model and Its Associated Fractal Dimension Estimator. Fractal and Fractional 2023, 7, 238. https://doi.org/10.3390/fractalfract7030238
DOI: 10.15468/dl.8zs7ug
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ranatra chinensis"
 ]
}

 The dataset includes 148 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013762-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9xmpsq
title: Occurrence Download

description: A dataset containing 293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Citrus reticulata"
 ]
}

 The dataset includes 293 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013763-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3jtfn
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ranatra unicolor"
 ]
}

 The dataset includes 45 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013764-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dv829w
title: Occurrence Download

description: A dataset containing 836 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "Country is Germany",
 "GadmGid is one of (DEU.7_1, DEU.11_1, DEU.1_1, DEU.12_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IsInCluster is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Meconema thalassinum",
 "Year 2015-2025"
 ]
}

 The dataset includes 836 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013765-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17747278
title: Temporally Gated Active Thermography for Defect Detection in Laser-Based Powder Bed Fusion of Metals - Dataset

description: This HDF5-dataset contains in-situ high-speed infrared thermography data acquired during the Laser-Based Powder Bed Fusion (PBF-LB/M) process. The data was collected using a Synchronized Path Infrared Thermography (SPIT) setup, which employs a dual-scanhead configuration to guide both the processing laser and the thermal camera's field of view.

The primary feature of this dataset is the application of a temporally gated acquisition strategy. The infrared camera's integration time (800 µs) was synchronized with a modulated processing laser (500 Hz) to capture thermal data exclusively during the laser-off phases. This method effectively isolates the material's thermal emission from high-intensity laser reflections.
DOI: 10.5281/zenodo.17747279
title: Temporally Gated Active Thermography for Defect Detection in Laser-Based Powder Bed Fusion of Metals - Dataset

description: This HDF5-dataset contains in-situ high-speed infrared thermography data acquired during the Laser-Based Powder Bed Fusion (PBF-LB/M) process. The data was collected using a Synchronized Path Infrared Thermography (SPIT) setup, which employs a dual-scanhead configuration to guide both the processing laser and the thermal camera's field of view.

The primary feature of this dataset is the application of a temporally gated acquisition strategy. The infrared camera's integration time (800 µs) was synchronized with a modulated processing laser (500 Hz) to capture thermal data exclusively during the laser-off phases. This method effectively isolates the material's thermal emission from high-intensity laser reflections.
DOI: 10.5281/zenodo.17747720
title: " Linking fractal scaling of river networks to self-organisation and optimality - data " by Erwin Zehe, Samuel Schroers and Hubert Savenije.

description: These data underly the analysis presented in the manuscript " Linking fractal scaling of river networks to self-organisation and optimality " by Erwin Zehe, Samuel Schroers and Hubert Savenije.

The data used for this analysis are available were taken from the globally available the HydroSHEDS data base at https://www.hydrosheds.org created by Lehner et al. (2008). The extracted data for analyzing the 18 of the largest Rivers are stored as csv files sorted by river names. The metadata are provided in "HydroSHEDS_TechDoc_v1_4.pdf" and "BasinATLAS_Catalog_v10.pdf".

The matlab codes for data analysis and simulations were tested and should be self-explaining.

·       River_data_from_HydroSheds contains the raw_data from HydroSheds as CSV

·       Creating_horton_numbers_from_river_data an example to calculate Horton numbers from the raw data for each river as csv, the corresponding Matlab code using example input for the Nile

·       Stream_numbers_against_area_and_fits contains Horton numbers for each rivers and the Matlab codes to plot N against A, N*L against A and to fit the corresponding power laws. And it contains the Matlab code to calculate specific dissipation for all rivers.

·       Creating_JEpot_from_River_data contains an matlab code to calculate Jepot from the raw data including one example for the Niger, files with Jepot as function of catchment area for the main channel of all rivers and the matlab code to plot them all in the same graph.

References 

·       Lehner, B., Verdin, K. & Jarvis, A. New Global Hydrography Derived From Spaceborne Elevation Data. Eos, Transactions American Geophysical Union 89, 93-94, doi:https://doi.org/10.1029/2008EO100001 (2008).
DOI: 10.5281/zenodo.17747719
title: " Linking fractal scaling of river networks to self-organisation and optimality - data " by Erwin Zehe, Samuel Schroers and Hubert Savenije.

description: These data underly the analysis presented in the manuscript " Linking fractal scaling of river networks to self-organisation and optimality " by Erwin Zehe, Samuel Schroers and Hubert Savenije.

The data used for this analysis are available were taken from the globally available the HydroSHEDS data base at https://www.hydrosheds.org created by Lehner et al. (2008). The extracted data for analyzing the 18 of the largest Rivers are stored as csv files sorted by river names. The metadata are provided in "HydroSHEDS_TechDoc_v1_4.pdf" and "BasinATLAS_Catalog_v10.pdf".

The matlab codes for data analysis and simulations were tested and should be self-explaining.

·       River_data_from_HydroSheds contains the raw_data from HydroSheds as CSV

·       Creating_horton_numbers_from_river_data an example to calculate Horton numbers from the raw data for each river as csv, the corresponding Matlab code using example input for the Nile

·       Stream_numbers_against_area_and_fits contains Horton numbers for each rivers and the Matlab codes to plot N against A, N*L against A and to fit the corresponding power laws. And it contains the Matlab code to calculate specific dissipation for all rivers.

·       Creating_JEpot_from_River_data contains an matlab code to calculate Jepot from the raw data including one example for the Niger, files with Jepot as function of catchment area for the main channel of all rivers and the matlab code to plot them all in the same graph.

References 

·       Lehner, B., Verdin, K. & Jarvis, A. New Global Hydrography Derived From Spaceborne Elevation Data. Eos, Transactions American Geophysical Union 89, 93-94, doi:https://doi.org/10.1029/2008EO100001 (2008).
DOI: 10.15468/dl.zbvcna
title: Occurrence Download

description: A dataset containing 12113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "StateProvince is Hainan",
 "TaxonKey is Tracheophyta",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12113 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013766-251120083545085/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.29474795
title: Data for Excitation mechanisms of 12.42-hour oscillations in the MLT region over Yinchuan (38.8°N, 106.8°E) during the Arctic winters

description: The meteor radar data and all calculation and analysis results presented in the manuscript.
DOI: 10.6084/m9.figshare.29474795.v3
title: Data for Excitation mechanisms of 12.42-hour oscillations in the MLT region over Yinchuan (38.8°N, 106.8°E) during the Arctic winters

description: The meteor radar data and all calculation and analysis results presented in the manuscript.
DOI: 10.6084/m9.figshare.29474795.v2
title: Data for Excitation mechanisms of lunar semi-diurnal tide signals in the MLT region over Yinchuan (38.8°N, 106.8°E) during the Arctic winters

description: The meteor radar data and all calculation and analysis results presented in the manuscript.
DOI: 10.15468/dl.darpew
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Bos grunniens"
 ]
}

 The dataset includes 122 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013768-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cc7g7g
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Kirkaldyia deyrollei"
 ]
}

 The dataset includes 60 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013769-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2dzna
title: Occurrence Download

description: A dataset containing 6940 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-13.95605 36.12781,3.36187 36.12781,3.36187 43.05201,-13.95605 43.05201,-13.95605 36.12781))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus petraea"
 ]
}

 The dataset includes 6940 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013767-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3e4rw2
title: Occurrence Download

description: A dataset containing 2185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-0.37511 36.81874,10.24342 36.81874,10.24342 42.89654,-0.37511 42.89654,-0.37511 36.81874))",
 "TaxonKey is Cetacea",
 "Year 2016-2019"
 ]
}

 The dataset includes 2185 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013770-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.47u4yk
title: Occurrence Download

description: A dataset containing 526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cervus elaphus"
 ]
}

 The dataset includes 526 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013771-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y8rnr7
title: Occurrence Download

description: A dataset containing 381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Poecilocoris lewisi"
 ]
}

 The dataset includes 381 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013774-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.57jd69
title: Occurrence Download

description: A dataset containing 1589 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-2.11446 36.13549,11.0031 36.13549,11.0031 42.14189,-2.11446 42.14189,-2.11446 36.13549))",
 "TaxonKey is Cetacea",
 "Year 2016-2018"
 ]
}

 The dataset includes 1589 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013775-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17747901
title: Row data_Reproductive biology of the mudskipper Scartelaos histophorus (Gobiiformes: Oxudercidae) in two coastal ecological zones of the Vietnamese Mekong Delta
DOI: 10.5281/zenodo.17747902
title: Row data_Reproductive biology of the mudskipper Scartelaos histophorus (Gobiiformes: Oxudercidae) in two coastal ecological zones of the Vietnamese Mekong Delta
DOI: 10.60871/ingpan/8fquuj
title: X-ray diffraction patterns of Pennsylvanian paleosols from the Mudstone Series of Upper Silesia Basin (Poland)

description: The dataset contains X-ray diffraction (XRD) patterns of 38 paleosol horizons from the Pennsylvanian Mudstone and Cracow Sandstone Series of the Upper Silesia Basin (Poland). The investigated samples come from five boreholes Jaworzno G-5109 (JAW5109), Warszowice-Pawłowice Texaco A (WP TXA), Amoco-Miedźna 1 (AMIE), Amoco-Poręba 1 (APOR), Żory 1M (ZOR1M), and Dąb-Zachód G-15 (G15). The dataset contains two sets of XRD patterns:
- patterns of random mounts of bulk samples, crushed to pass 0.45 mm sieve and subsequently milled in McCrone micronizing mill (file "XRD_random_bulk.csv"; 38 patterns)
- patterns of oriented mounts prepared from &lt;2 μm Ca-saturated size fraction separated from the bulk samples after treatments with sodium acetate–acetic acid buffer (pH = 5.5), sodium hypochlorite, and sodium dithionite-citrate-bicarbonate (DCB) solutions. For each mount an XRD pattern was registered in an air-dry state and after saturation with ethylene glycol (file "XRD_Oriented_less2_Ca.csv", 62 patterns for 31 samples)
All patterns were obtained with a Rigaku SmartLab SE diffractometer equipped with the Cu lamp, the CBO-α accessory, and the Ni filter in the 2-65°2θ range with a 0.02° step and a 1 s counting time.