cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18304635
title: Rhynchospora corymbosa var. bonariensis Barros ex Cabrera & G.Dawson. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.5281/zenodo.18304634
title: Rhynchospora corymbosa var. bonariensis Barros ex Cabrera & G.Dawson. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.17632/kphv5mr644
title: Data for Organic matter preserved in Mars-analog sulfates

description: Spectra data for Raman, SEM-EDS, FTIR, and XRD charaterization of the samples.
DOI: 10.17632/kphv5mr644.1
title: Data for Organic matter preserved in Mars-analog sulfates

description: Spectra data for Raman, SEM-EDS, FTIR, and XRD charaterization of the samples.
DOI: 10.17632/9d77352dcf
title: Dual-Location Smartphone IMU Human Activity Recognition Dataset (Hand & Ankle, 60s Trials)

description: This dataset was created to study smartphone-based Human Activity Recognition (HAR) using raw inertial signals recorded at two common body locations (hand and ankle). The working hypothesis is that longer, continuous recordings (approximately 60 seconds per activity) and multi-sensor fusion (accelerometer, gyroscope, magnetometer) provide richer temporal and biomechanical signatures that improve activity classification, and that non-linear ensemble models capture these relationships more effectively than linear classifiers.
What the data contains
• Raw sensor streams exported as CSV files from a smartphone IMU logger (Phyphox).
• Each trial typically includes three separate CSV files: accelerometer, gyroscope, and magnetometer.
• Each CSV contains a time column (seconds) and tri-axial measurements (X, Y, Z) with sensor-specific units.
• Two placement conditions are included: hand-held and ankle/foot-mounted.
• Ground-truth labels correspond to six daily activities; labels may be encoded jointly with placement (e.g., Walking_Hand, Walking_Foot) to form a 12-class setup.
How the data was gathered
• Participants performed each activity for approximately 60 seconds per placement.
• Recordings were made in real time using a standard smartphone and the Phyphox application, then exported to CSV.
• Participants were anonymized; the study followed a minimal-risk, non-invasive protocol with informed consent.
How to interpret and use the data
• Use the time column as the temporal index for each sensor stream.
• For multi-sensor modeling, align streams by time and merge accelerometer, gyroscope, and magnetometer to form a 9-channel signal (Acc/Gyro/Mag × X/Y/Z).
• For window-based learning, segment continuous signals with overlapping sliding windows (e.g., 150 samples per window, stride 100 samples).
• If using classical ML, compute window-level statistical features (mean, standard deviation, min, max, range, and signal energy) for each channel; this yields 54 features per placement (9 channels × 6 statistics), or 108 features when concatenating hand and ankle features (feature-level fusion).
DOI: 10.17632/9d77352dcf.2
title: Dual-Location Smartphone IMU Human Activity Recognition Dataset (Hand & Ankle, 60s Trials)

description: This dataset was created to study smartphone-based Human Activity Recognition (HAR) using raw inertial signals recorded at two common body locations (hand and ankle). The working hypothesis is that longer, continuous recordings (approximately 60 seconds per activity) and multi-sensor fusion (accelerometer, gyroscope, magnetometer) provide richer temporal and biomechanical signatures that improve activity classification, and that non-linear ensemble models capture these relationships more effectively than linear classifiers.
What the data contains
• Raw sensor streams exported as CSV files from a smartphone IMU logger (Phyphox).
• Each trial typically includes three separate CSV files: accelerometer, gyroscope, and magnetometer.
• Each CSV contains a time column (seconds) and tri-axial measurements (X, Y, Z) with sensor-specific units.
• Two placement conditions are included: hand-held and ankle/foot-mounted.
• Ground-truth labels correspond to six daily activities; labels may be encoded jointly with placement (e.g., Walking_Hand, Walking_Foot) to form a 12-class setup.
How the data was gathered
• Participants performed each activity for approximately 60 seconds per placement.
• Recordings were made in real time using a standard smartphone and the Phyphox application, then exported to CSV.
• Participants were anonymized; the study followed a minimal-risk, non-invasive protocol with informed consent.
How to interpret and use the data
• Use the time column as the temporal index for each sensor stream.
• For multi-sensor modeling, align streams by time and merge accelerometer, gyroscope, and magnetometer to form a 9-channel signal (Acc/Gyro/Mag × X/Y/Z).
• For window-based learning, segment continuous signals with overlapping sliding windows (e.g., 150 samples per window, stride 100 samples).
• If using classical ML, compute window-level statistical features (mean, standard deviation, min, max, range, and signal energy) for each channel; this yields 54 features per placement (9 channels × 6 statistics), or 108 features when concatenating hand and ankle features (feature-level fusion).
DOI: 10.17632/48vvvcypkb
title: Replication package (code and derived data) for a study on climate transition risk and debt pricing, v1.0
DOI: 10.17632/48vvvcypkb.1
title: Replication package (code and derived data) for a study on climate transition risk and debt pricing, v1.0
DOI: 10.17632/m98bxzcp7p
title: Large area materials processing via unfocused beams of high-energy femtosecond lasers

description: Petawatt-class laser systems can generate intensities sufficient for material processing even without beam focusing. However, their inhomogeneous energy distribution renders them unsuitable for producing macroscopically uniform patterns. In this study, this limitation is turned into an advantage: upon irradiation with the entire beam cross-section, the surface encodes the spatial energy distribution as a material response library, enabling systematic analysis based on the robust dataset obtained. This framework provides a single-step methodology for determining optical and morphological thresholds, offering an alternative to conventional Laser-Induced Damage Threshold (LIDT) protocols.
As a proof of concept, copper was irradiated by a stationary beam from a diode-pumped ytterbium femtosecond laser (500 mJ and 500 fs at 1030 nm/50 Hz). A reflectance map obtained using a He–Ne probe was correlated with the energy distribution of the processing beam. The morphological processes behind the energy-dependent darkening were examined through constructing a surface morphology map from scanning electron microscopy (SEM) images taken at 5,000–50,000× magnifications. The reflectance-based darkening threshold energy, marking the first visible modification, was 1.46 µJ (≈0.023 J·cm⁻² in terms of fluence), while the morphological threshold appeared at 1.2 µJ, indicating the onset of nanostructure formation. Maximum darkening occurred between 2.4–2.6 µJ, associated with a hierarchical morphology of cauliflower-like microtexture and a highly homogeneous nanostructure, followed by reflectance recovery above 2.8 µJ due to melting and coalescence. Gray-Level Co-Occurrence Matrix (GLCM) texture analysis revealed that homogeneity sensitively indicated the onset of ablation, whereas contrast and entropy reflected changes in granularity and structural order.
DOI: 10.17632/m98bxzcp7p.2
title: Large area materials processing via unfocused beams of high-energy femtosecond lasers

description: Petawatt-class laser systems can generate intensities sufficient for material processing even without beam focusing. However, their inhomogeneous energy distribution renders them unsuitable for producing macroscopically uniform patterns. In this study, this limitation is turned into an advantage: upon irradiation with the entire beam cross-section, the surface encodes the spatial energy distribution as a material response library, enabling systematic analysis based on the robust dataset obtained. This framework provides a single-step methodology for determining optical and morphological thresholds, offering an alternative to conventional Laser-Induced Damage Threshold (LIDT) protocols.
As a proof of concept, copper was irradiated by a stationary beam from a diode-pumped ytterbium femtosecond laser (500 mJ and 500 fs at 1030 nm/50 Hz). A reflectance map obtained using a He–Ne probe was correlated with the energy distribution of the processing beam. The morphological processes behind the energy-dependent darkening were examined through constructing a surface morphology map from scanning electron microscopy (SEM) images taken at 5,000–50,000× magnifications. The reflectance-based darkening threshold energy, marking the first visible modification, was 1.46 µJ (≈0.023 J·cm⁻² in terms of fluence), while the morphological threshold appeared at 1.2 µJ, indicating the onset of nanostructure formation. Maximum darkening occurred between 2.4–2.6 µJ, associated with a hierarchical morphology of cauliflower-like microtexture and a highly homogeneous nanostructure, followed by reflectance recovery above 2.8 µJ due to melting and coalescence. Gray-Level Co-Occurrence Matrix (GLCM) texture analysis revealed that homogeneity sensitively indicated the onset of ablation, whereas contrast and entropy reflected changes in granularity and structural order.
DOI: 10.17632/ykr8pd3j4v
title: An Architectural Perspective on MLOps: Structures, Processes, Tools, and Stakeholders

description: This dataset contains all the data, scripts, and documents that can assist the readers in replicating our research. 
The study aims to synthesize a comprehensive architecture of state-of-the-art MLOps systems from a structural perspective (RQ1) and a process perspective (RQ2) as referred to in the manuscript.

The following are included in this replication package:

- The folder ‘data’ includes 3 spreadsheet files containing search and snowballing results (list of selected papers), data extraction, and data synthesis.
- All the scripts that help the interested reader automate parts of the research and synthesis process can be found in the ‘scripts’ folder.

To replicate the process, one may consult the methodology section in the manuscript.
DOI: 10.17632/ykr8pd3j4v.1
title: An Architectural Perspective on MLOps: Structures, Processes, Tools, and Stakeholders

description: This dataset contains all the data, scripts, and documents that can assist the readers in replicating our research. 
The study aims to synthesize a comprehensive architecture of state-of-the-art MLOps systems from a structural perspective (RQ1) and a process perspective (RQ2) as referred to in the manuscript.

The following are included in this replication package:

- The folder ‘data’ includes 3 spreadsheet files containing search and snowballing results (list of selected papers), data extraction, and data synthesis.
- All the scripts that help the interested reader automate parts of the research and synthesis process can be found in the ‘scripts’ folder.

To replicate the process, one may consult the methodology section in the manuscript.
DOI: 10.17632/vw24sst2kv
title: Multi-omic profiling following loss of SWI/SNF reveals global changes in cohesin binding and sensitivity to cohesin perturbation
DOI: 10.15468/dl.a2br5p
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Festuca ovina, Festuca ovina, Festuca ovina)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000460-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vw24sst2kv.1
title: Multi-omic profiling following loss of SWI/SNF reveals global changes in cohesin binding and sensitivity to cohesin perturbation
DOI: 10.15468/dl.9u7cv9
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-81.2398 7.5721,-81.19593 7.57561,-81.18432 7.57658,-81.13012 7.57649,-80.97665 7.58104,-80.97665 7.90541,-81.23732 7.90541,-81.2398 7.5721))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Echinodermata"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000463-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zfz6bfghkb
title: Associate Professor of Ophthalmology

description: Professor Cosimo Mazzotta is a pioneer of Corneal Crosslinking and Keratoconus Conservative treatment protocols developer. He was the forst doinf the confocal microscpy studies in vivo in humans after crosslinking ad intrioduced crosslinking in Italy. he authored the M nomogram for the treatment of all thickness ectatic corneas includinh thin and ultrathin.
DOI: 10.17632/zfz6bfghkb.1
title: Associate Professor of Ophthalmology

description: Professor Cosimo Mazzotta is a pioneer of Corneal Crosslinking and Keratoconus Conservative treatment protocols developer. He was the forst doinf the confocal microscpy studies in vivo in humans after crosslinking ad intrioduced crosslinking in Italy. he authored the M nomogram for the treatment of all thickness ectatic corneas includinh thin and ultrathin.
DOI: 10.17632/brmn56fnky
title: Did Pandemic Relief Fraud Inflate House Prices?

description: Replication files for Griffin, Kruger, and Mahajan (2026), "Did Pandemic Relief Fraud Inflate House Prices?," Journal of Financial Economics.
DOI: 10.17632/brmn56fnky.2
title: Did Pandemic Relief Fraud Inflate House Prices?

description: Replication files for Griffin, Kruger, and Mahajan (2026), "Did Pandemic Relief Fraud Inflate House Prices?," Journal of Financial Economics.
DOI: 10.17632/xmrsbhxty4
title: Risk and Protective Factors for Uveal Melanoma: Evidence for a Protective Role of Autoinflammatory Conditions Supplemental Data

description: Supplemental Data for "Risk and Protective Factors for Uveal Melanoma: Evidence for a Protective Role of Autoinflammatory Conditions"
DOI: 10.17632/xmrsbhxty4.1
title: Risk and Protective Factors for Uveal Melanoma: Evidence for a Protective Role of Autoinflammatory Conditions Supplemental Data

description: Supplemental Data for "Risk and Protective Factors for Uveal Melanoma: Evidence for a Protective Role of Autoinflammatory Conditions"
DOI: 10.15468/dl.bh88c7
title: Occurrence Download

description: A dataset containing 25315715 species occurrences available in GBIF matching the query:
{
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 25315715 records from 657 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000400-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18304646
title: Rhynchospora corymbosa var. chacoensis (Barros) Svenson. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.5281/zenodo.18304647
title: Rhynchospora corymbosa var. chacoensis (Barros) Svenson. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.17632/tkt2fdk2ny
title: MQ_Olivine_porewater

description: Pore water data from experiments on olivine dissolution after addition to permeable sediment. Data corresponds to three separate experiments: batch reactors, flow-through columns, and flumes.
DOI: 10.17632/tkt2fdk2ny.1
title: MQ_Olivine_porewater

description: Pore water data from experiments on olivine dissolution after addition to permeable sediment. Data corresponds to three separate experiments: batch reactors, flow-through columns, and flumes.
DOI: 10.17632/v9c6mfyvd7
title: MQ_Olivine_solid

description: Solid phase data from flow-through column experiment on olivine addition following addition to permeable marine sediment. EBSD was performed at two accelerating voltages (5 kV and 15 kV) to determine the ratio of Mg:Si along the surfaces of olivine grains (unincubated but washed, beginning of the 10% olivine flow-through column, and end of the 10% olivine flow-through column). XRD was performed on fine grained material separated from the bulk sediment taken from the ends of the 0% and 10% olivine columns.
DOI: 10.17632/v9c6mfyvd7.1
title: MQ_Olivine_solid

description: Solid phase data from flow-through column experiment on olivine addition following addition to permeable marine sediment. EBSD was performed at two accelerating voltages (5 kV and 15 kV) to determine the ratio of Mg:Si along the surfaces of olivine grains (unincubated but washed, beginning of the 10% olivine flow-through column, and end of the 10% olivine flow-through column). XRD was performed on fine grained material separated from the bulk sediment taken from the ends of the 0% and 10% olivine columns.
DOI: 10.17632/6jmyj9g6rj.1
title: From Digital Infrastructure to Breakthrough Innovation: Evidence from China

description: README: Replication Package 
Paper Title: From Digital Infrastructure to Breakthrough Innovation: Evidence from China

Authors:
Peiyu Li (Shandong University)
Chongyang Lv (Shandong University)
Xinzhi Liu (Southwest University)
Liping Li (Shanghai University of Finance and Economics)

Overview:
This replication package provides all the data and code necessary to reproduce the results of the paper. The package is designed to promote transparency and enable independent verification of all statistical results in the study.
DOI: 10.17632/p6d7jmkkrt
title: Investigating Terrestrial Ethane Sources with Molecular-Average and Clumped Isotopes

description: Research data for Anadu et al. (2025) : Investigating Terrestrial Ethane Sources with Molecular-Average and Clumped Isotopes.
DOI: 10.17632/p6d7jmkkrt.1
title: Investigating Terrestrial Ethane Sources with Molecular-Average and Clumped Isotopes

description: Research data for Anadu et al. (2025) : Investigating Terrestrial Ethane Sources with Molecular-Average and Clumped Isotopes.
DOI: 10.17632/4xp62s957c.4
title: Data to Accompany: Space-Time Analysis of Burgeoning US Atrial Septal Defect Rates.

description: R Code and original data files
DOI: 10.17632/7n5tmkvwmt
title: Cooling rates of chondrules in the TnA 001 meteorite: Constraints on chondrule formation mechanisms

description: EPMA data for paper of "Cooling rates of chondrules in the TnA 001 meteorite: Constraints on chondrule formation mechanisms" submitted to Geochimica et Cosmochimica Acta.
DOI: 10.17632/7n5tmkvwmt.1
title: Cooling rates of chondrules in the TnA 001 meteorite: Constraints on chondrule formation mechanisms

description: EPMA data for paper of "Cooling rates of chondrules in the TnA 001 meteorite: Constraints on chondrule formation mechanisms" submitted to Geochimica et Cosmochimica Acta.
DOI: 10.17632/jm5fxtxvc9
title: Broadband Saturable Absorption of Size-Controlled Galinstan Films for Optical Neural Networks Applications

description: Data set supporting article: Broadband Saturable Absorption of Size-Controlled Galinstan Films for Optical Neural Networks Applications
DOI: 10.17632/jm5fxtxvc9.1
title: Broadband Saturable Absorption of Size-Controlled Galinstan Films for Optical Neural Networks Applications

description: Data set supporting article: Broadband Saturable Absorption of Size-Controlled Galinstan Films for Optical Neural Networks Applications
DOI: 10.5281/zenodo.15175296
title: LUCAS land cover representative areas

description: Spatially representative areas have been computed around LUCAS points in 2018 using an original shape-constrained region-growing algorithm. This algorithm was specifically designed to enhance the accuracy and consistency of machine learning approaches for land cover and land use mapping by ensuring that the delineated areas accurately represent the surrounding landscape. The algorithm takes as input the OSM/CLCplus land cover product (Zenodo), which provides a harmonized and detailed land cover dataset suitable for large-scale analysis.

To facilitate transparency and reproducibility, the tool developed for this purpose has been made openly available through a GitHub repository the MIT license, enabling researchers and practitioners to implement and refine the approach for various applications in land cover and environmental monitoring.

Content:



lucas_points_rg_repre_areas_2018_v1.2.0.gpkg.7z - GPKG dataset with representative areas computed around LUCAS points in 2018 (EU coverage), see attr. desc

lucas_rg_repre_areas_lvl1.qml - QGIS style for representative areas

lucas_representativeness_sentinel2_cz_ee_gr_ie_pt.h5.7z - HDF5 dataset with Sentinel-2 time-series image patches (Ireland, Portugal, Greece, Estonia, and the Czech Republic)


LUCAS land cover representative areas can also be downloaded using the Python API or the QGIS plugin; more information is available on the ST_LUCAS project website.
DOI: 10.5281/zenodo.18304260
title: LUCAS land cover representative areas

description: Spatially representative areas have been computed around LUCAS points in 2018 using an original shape-constrained region-growing algorithm. This algorithm was specifically designed to enhance the accuracy and consistency of machine learning approaches for land cover and land use mapping by ensuring that the delineated areas accurately represent the surrounding landscape. The algorithm takes as input the OSM/CLCplus land cover product (Zenodo), which provides a harmonized and detailed land cover dataset suitable for large-scale analysis.

To facilitate transparency and reproducibility, the tool developed for this purpose has been made openly available through a GitHub repository the MIT license, enabling researchers and practitioners to implement and refine the approach for various applications in land cover and environmental monitoring.

Content:



lucas_points_rg_repre_areas_2018_v1.2.0.gpkg.7z - GPKG dataset with representative areas computed around LUCAS points in 2018 (EU coverage), see attr. desc

lucas_rg_repre_areas_lvl1.qml - QGIS style for representative areas

lucas_representativeness_sentinel2_cz_ee_gr_ie_pt.h5.7z - HDF5 dataset with Sentinel-2 time-series image patches (Ireland, Portugal, Greece, Estonia, and the Czech Republic)


LUCAS land cover representative areas can also be downloaded using the Python API or the QGIS plugin; more information is available on the ST_LUCAS project website.
DOI: 10.17632/zbgt7979xk
title: Original data of metabolic analysis between PMA2-2 and PMD1-1

description: Original data of metabolic analysis between PMA2-2 and PMD1-1
DOI: 10.17632/zbgt7979xk.1
title: Original data of metabolic analysis between PMA2-2 and PMD1-1

description: Original data of metabolic analysis between PMA2-2 and PMD1-1