cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.w6fw86
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((104.727 -2.425825, 104.656674 -2.43139, 104.588078 -2.447948, 104.522899 -2.475092, 104.462741 -2.512154, 104.409084 -2.558221, 104.36325 -2.612162, 104.326366 -2.672648, 104.299341 -2.738191, 104.282843 -2.807178, 104.277279 -2.877911, 104.282788 -2.948648, 104.299237 -3.017647, 104.326222 -3.08321, 104.363081 -3.14372, 104.408907 -3.197688, 104.462573 -3.243783, 104.522756 -3.280869, 104.587974 -3.308032, 104.656619 -3.324602, 104.727 -3.330171, 104.797381 -3.324602, 104.866026 -3.308032, 104.931244 -3.280869, 104.991427 -3.243783, 105.045093 -3.197688, 105.090919 -3.14372, 105.127778 -3.08321, 105.154763 -3.017647, 105.171212 -2.948648, 105.176721 -2.877911, 105.171157 -2.807178, 105.154659 -2.738191, 105.127634 -2.672648, 105.09075 -2.612162, 105.044916 -2.558221, 104.991259 -2.512154, 104.931101 -2.475092, 104.865922 -2.447948, 104.797326 -2.43139, 104.727 -2.425825))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001620-260119153935675/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.30095521.v1
title: Cor-CA5-Original data.rar

description: <b>Cordycepin Suppresses the Growth and Virulence of </b><b><i>Magnaporthe oryzae</i></b><b> by Targeting Mitochondrial Carbonic Anhydrases</b>
DOI: 10.15468/dl.g89zqq
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sialis longidens",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001621-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9srss4
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phleum phleoides, Phleum phleoides, Phleum phleoides, Phleum phleoides)",
 "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 95 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001622-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fgjaqt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.424 -2.423825, 101.353674 -2.42939, 101.285078 -2.445948, 101.2199 -2.473092, 101.159742 -2.510154, 101.106085 -2.556221, 101.06025 -2.610162, 101.023366 -2.670648, 100.996342 -2.736191, 100.979844 -2.805178, 100.97428 -2.875911, 100.979789 -2.946648, 100.996238 -3.015647, 101.023223 -3.08121, 101.060082 -3.14172, 101.105908 -3.195688, 101.159573 -3.241783, 101.219756 -3.278869, 101.284974 -3.306032, 101.353619 -3.322602, 101.424 -3.328171, 101.494381 -3.322602, 101.563026 -3.306032, 101.628244 -3.278869, 101.688427 -3.241783, 101.742092 -3.195688, 101.787918 -3.14172, 101.824777 -3.08121, 101.851762 -3.015647, 101.868211 -2.946648, 101.87372 -2.875911, 101.868156 -2.805178, 101.851658 -2.736191, 101.824634 -2.670648, 101.78775 -2.610162, 101.741915 -2.556221, 101.688258 -2.510154, 101.6281 -2.473092, 101.562922 -2.445948, 101.494326 -2.42939, 101.424 -2.423825))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001624-260119153935675/datasets/export for details.
DOI: 10.15468/dl.ewr463
title: Occurrence Download

description: A dataset containing 89391 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zannichellia palustris"
 ]
}

 The dataset includes 89391 records from 941 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001563-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxaugz
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Sanicula sandwicensis A.Gray, Sanicula purpurea H.St.John & Hosaka)"
 ]
}

 The dataset includes 197 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013424-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110814686
title: Copper Scroll

description: [Text Description:] ❧ list of buried treasure ❧ [Text or Publication Number Note:] 3Q15 Copper Scroll ❧ [Excavation Description:] Found during survey of cliffs at Qumran in March 1952 by Roland de Vaux and William Reed. ❧ [Medium:] Metal ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 23 oxydized copper half-cylinder segments with incised letters
DOI: 10.25549/inscriptifact-ouc110814623
title: Copper Scroll

description: [Text Description:] ❧ list of buried treasure ❧ [Text or Publication Number Note:] 3Q15 Copper Scroll ❧ [Excavation Description:] Found during survey of cliffs at Qumran in March 1952 by Roland de Vaux and William Reed. ❧ [Medium:] Metal ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 23 oxydized copper half-cylinder segments with incised letters
DOI: 10.25549/inscriptifact-ouc110814632
title: Copper Scroll

description: [Text Description:] ❧ list of buried treasure ❧ [Text or Publication Number Note:] 3Q15 Copper Scroll ❧ [Excavation Description:] Found during survey of cliffs at Qumran in March 1952 by Roland de Vaux and William Reed. ❧ [Medium:] Metal ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 23 oxydized copper half-cylinder segments with incised letters
DOI: 10.25549/inscriptifact-ouc110814638
title: Copper Scroll

description: [Text Description:] ❧ list of buried treasure ❧ [Text or Publication Number Note:] 3Q15 Copper Scroll ❧ [Excavation Description:] Found during survey of cliffs at Qumran in March 1952 by Roland de Vaux and William Reed. ❧ [Medium:] Metal ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 23 oxydized copper half-cylinder segments with incised letters
DOI: 10.25549/inscriptifact-ouc110814629
title: Copper Scroll

description: [Text Description:] ❧ list of buried treasure ❧ [Text or Publication Number Note:] 3Q15 Copper Scroll ❧ [Excavation Description:] Found during survey of cliffs at Qumran in March 1952 by Roland de Vaux and William Reed. ❧ [Medium:] Metal ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 23 oxydized copper half-cylinder segments with incised letters
DOI: 10.25549/inscriptifact-ouc110814558
title: Copper Scroll

description: [Text Description:] ❧ list of buried treasure ❧ [Text or Publication Number Note:] 3Q15 Copper Scroll ❧ [Excavation Description:] Found during survey of cliffs at Qumran in March 1952 by Roland de Vaux and William Reed. ❧ [Medium:] Metal ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 23 oxydized copper half-cylinder segments with incised letters
DOI: 10.25549/inscriptifact-ouc110814570
title: Copper Scroll

description: [Text Description:] ❧ list of buried treasure ❧ [Text or Publication Number Note:] 3Q15 Copper Scroll ❧ [Excavation Description:] Found during survey of cliffs at Qumran in March 1952 by Roland de Vaux and William Reed. ❧ [Medium:] Metal ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 23 oxydized copper half-cylinder segments with incised letters
DOI: 10.25549/inscriptifact-ouc110814561
title: Copper Scroll

description: [Text Description:] ❧ list of buried treasure ❧ [Text or Publication Number Note:] 3Q15 Copper Scroll ❧ [Excavation Description:] Found during survey of cliffs at Qumran in March 1952 by Roland de Vaux and William Reed. ❧ [Medium:] Metal ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 23 oxydized copper half-cylinder segments with incised letters
DOI: 10.15468/dl.6kzfct
title: Occurrence Download

description: A dataset containing 46044 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Paulownia tomentosa (Thunb.) Steud.",
 "Year 1990-2025"
 ]
}

 The dataset includes 46044 records from 175 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012657-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rqku5x
title: Occurrence Download

description: A dataset containing 907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "TaxonKey is Rhododendron formosanum Hemsl."
 ]
}

 The dataset includes 907 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012659-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wfayas
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rhododendron indicum (L.) Sweet"
 ]
}

 The dataset includes 49 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012658-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xbvtqm
title: Occurrence Download

description: A dataset containing 8056 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 Pachira Aubl."
 ]
}

 The dataset includes 8056 records from 375 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008986-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15469819
title: Energy decomposition of residues of protein-ligand complexes in MMPBSA analysis.

description: Energy decomposition of residues of protein-ligand complexes in MMPBSA analysis.
DOI: 10.17632/v635kysfr2
title: MATLAB code for 'Surface wear characterized by height matrix in relation to texture direction (Std) and other surface parameters'

description: This repository contains the MATLAB code and data files used for the computations in the paper "*[Surface wear characterized by height matrix in relation to texture direction (Std) and other surface parameters]*".
The code simulates wear between sliding rough surfaces based on the Greenwood-Williamson contact model and the Rabinowicz wear criterion. Surface topography is represented using height matrices.
DOI: 10.17632/v635kysfr2.1
title: MATLAB code for 'Surface wear characterized by height matrix in relation to texture direction (Std) and other surface parameters'

description: This repository contains the MATLAB code and data files used for the computations in the paper "*[Surface wear characterized by height matrix in relation to texture direction (Std) and other surface parameters]*".
The code simulates wear between sliding rough surfaces based on the Greenwood-Williamson contact model and the Rabinowicz wear criterion. Surface topography is represented using height matrices.
DOI: 10.17632/38d2ws2265
title: Coastal Sea Level Data from Tide Gauge and GNSS-IR at the Onsala Space Observatory, Sweden (June 2024–July 2025)

description: This dataset contains all processed results supporting the manuscript
“Continuous Coastal Absolute Sea Level Measurement from GNSS-IR: A Potential Tool for Satellite Altimetry Validation”, submitted to Remote Sensing of Environment.
In the 1st version, part of the tide gauge data was missing.

It includes one year of continuous coastal observations from the Onsala Space Observatory (OSO) in Sweden, covering the period June 2024–July 2025. The dataset integrates multiple geodetic, oceanographic, and meteorological sources used to evaluate the capability of GNSS Interferometric Reflectometry (GNSS-IR) for absolute sea level monitoring.

Contents

GNSS-IR sea level: Raw and 15-minute averaged sea surface height time series derived from a horizon-pointing antenna (ONRA) and a zenith-pointing antenna (OSOU), processed using multi-GNSS RINEX data.

Tide gauge sea level: 1-minute sea level observations from the co-located OSO tide gauge, referenced to RH2000 height datum.

GNSS positioning: Daily coordinate time series of ONRA, ONRB and eight nearby SWEPOS stations, processed in PPP mode to characterize local land motion and establish the absolute reference frame.

Weather data: 1-minute atmospheric pressure, temperature, humidity, and wind speed data from the OSO meteorological station, used for tropospheric delay modeling and environmental context.

SWOT altimetry: Extracted sea surface height (SSH) data from the Surface Water and Ocean Topography (SWOT) satellite within 100 km of OSO, used for cross-validation with GNSS-IR and tide gauge records.

Solid Earth displacements: Modeled vertical displacements due to solid Earth tides, ocean tidal loading, and pole tides, applied for reference frame consistency.

Surveying and leveling measurements: Total-station and geometric leveling observations that link the GNSS antenna reference points, tide-gauge benchmark, and local reference markers to the RH2000 vertical datum. These measurements define the geometric relationships necessary for absolute sea-level determination.

Temporal coverage: June 2024 – July 2025
Temporal resolution: 1 minute, 15 minutes or 1 day, depending on data type
Spatial coverage: Onsala Space Observatory, west coast of Sweden (57.395° N, 11.915° E)

Purpose and usage:
This dataset supports the quantitative analysis, validation, and visualization presented in the manuscript. It enables replication of the figures and tables, and provides a reference for future studies on GNSS-IR-based coastal sea level monitoring, satellite altimetry validation, and regional vertical land motion at OSO.
DOI: 10.17632/38d2ws2265.2
title: Coastal Sea Level Data from Tide Gauge and GNSS-IR at the Onsala Space Observatory, Sweden (June 2024–July 2025)

description: This dataset contains all processed results supporting the manuscript
“Continuous Coastal Absolute Sea Level Measurement from GNSS-IR: A Potential Tool for Satellite Altimetry Validation”, submitted to Remote Sensing of Environment.
In the 1st version, part of the tide gauge data was missing.

It includes one year of continuous coastal observations from the Onsala Space Observatory (OSO) in Sweden, covering the period June 2024–July 2025. The dataset integrates multiple geodetic, oceanographic, and meteorological sources used to evaluate the capability of GNSS Interferometric Reflectometry (GNSS-IR) for absolute sea level monitoring.

Contents

GNSS-IR sea level: Raw and 15-minute averaged sea surface height time series derived from a horizon-pointing antenna (ONRA) and a zenith-pointing antenna (OSOU), processed using multi-GNSS RINEX data.

Tide gauge sea level: 1-minute sea level observations from the co-located OSO tide gauge, referenced to RH2000 height datum.

GNSS positioning: Daily coordinate time series of ONRA, ONRB and eight nearby SWEPOS stations, processed in PPP mode to characterize local land motion and establish the absolute reference frame.

Weather data: 1-minute atmospheric pressure, temperature, humidity, and wind speed data from the OSO meteorological station, used for tropospheric delay modeling and environmental context.

SWOT altimetry: Extracted sea surface height (SSH) data from the Surface Water and Ocean Topography (SWOT) satellite within 100 km of OSO, used for cross-validation with GNSS-IR and tide gauge records.

Solid Earth displacements: Modeled vertical displacements due to solid Earth tides, ocean tidal loading, and pole tides, applied for reference frame consistency.

Surveying and leveling measurements: Total-station and geometric leveling observations that link the GNSS antenna reference points, tide-gauge benchmark, and local reference markers to the RH2000 vertical datum. These measurements define the geometric relationships necessary for absolute sea-level determination.

Temporal coverage: June 2024 – July 2025
Temporal resolution: 1 minute, 15 minutes or 1 day, depending on data type
Spatial coverage: Onsala Space Observatory, west coast of Sweden (57.395° N, 11.915° E)

Purpose and usage:
This dataset supports the quantitative analysis, validation, and visualization presented in the manuscript. It enables replication of the figures and tables, and provides a reference for future studies on GNSS-IR-based coastal sea level monitoring, satellite altimetry validation, and regional vertical land motion at OSO.
DOI: 10.17632/cvh7574hwj
title: Volatile-mediated allelopathy: Perovskia atriplicifolia Benth. volatile organic compounds trigger phenylpropanoid–lignin remodelling in Amaranthus retroflexus L.
DOI: 10.17632/cvh7574hwj.1
title: Volatile-mediated allelopathy: Perovskia atriplicifolia Benth. volatile organic compounds trigger phenylpropanoid–lignin remodelling in Amaranthus retroflexus L.
DOI: 10.15468/dl.dmjggy
title: Occurrence Download

description: A dataset containing 1668 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Magdalis duplicata"
 ]
}

 The dataset includes 1668 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000344-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fymrd8js55.1
title: Optical Spectrum Dataset for Dual-Peak Temperature Measurements

description: 1. Dataset Overview

This dataset contains 17 optical spectrum measurements recorded at different temperature points using an Optical Spectrum Analyzer (OSA) (Anritsu MS9710B).
Each measurement consists of:

- One spectrum file (DATAxxx.TXT), containing wavelength–power pairs exported directly from the OSA.
- One screenshot (DATAxxx.BMP), containing the on-screen trace view.
- One metadata file (metadata.csv), specifying the temperature values and the extracted peak wavelengths for each measurement.
- The dataset is intended for reproducible research in fiber Bragg grating (FBG) sensing, spectral peak detection, signal processing, and temperature-dependent optical behavior.

2. OSA TXT File Format

Each DATAxxx.TXT file contains:

a) Header section (Includes OSA settings required for reproducibility):
- Center wavelength (nm)
- Span (nm)
- Start/Stop wavelength (nm)
- Resolution bandwidth (RBW)
- Video bandwidth (VBW)
- Smoothing level
- Number of sampling points
- Attenuation state
-Active trace and memory configuration
-Data section

b)Three numeric columns:
- Wavelength (nm) Wavelength values sampled by the OSA.
- Power (W) Optical power measured at each wavelength (in Watts).
- Trace2 (W) Secondary OSA trace channel. Unused in this experiment; values appear as 1×10−12 due to instrument limits.

3. Metadata File Description (metadata.csv)

The dataset includes a CSV file describing peak wavelengths and temperature values for each measurement.

metadata.csv Columns
Column Meaning
File Measurement index (121–137).
Peak1 First spectral peak wavelength (nm).
Peak2 Second spectral peak wavelength (nm).
Temp1 Temperature corresponding to Peak 1 (°C).
Temp2 Temperature corresponding to Peak 2 (°C).
Measurement Measurement ID (1 → 17).


4. Citation:
The results derived from this dataset were published in the article:
"Nonlinear least-squares curve fitting method for detection of overlapped FBG temperature sensor spectra", Engineering Computations, accepted on 18 Nov 2025.

This section will be updated with the final DOI once available.
DOI: 10.17632/mygrsk3vyb
title: LemonVarities: A comprehensive image dataset to classify rotten and multiple types fresh lemon

description: This dataset is prepared for publishing in Data in Brief in order to contribute to the AI and Agriculture research field. The dataset comprises 1,956 Original and 43,000 Augmented images. Two major classes, such as Fresh and Rotten Lemon available, where fresh lemon has 7different sub classes. The types of seven lemon are Meyer lemon, Eureka lemon, Citron lemon, Assam lemon, Desi kagzi type-1 and type-2 lemon, and Elachi lemon. The dataset is not balance which helps AI researchers to think differently, apply their idea and knowledge to overcome AI weaknesses. The pixel size of each image is 900*1200, which reflects the perfect quality to have detailed features about images.
DOI: 10.17632/mygrsk3vyb.2
title: LemonVarities: A comprehensive image dataset to classify rotten and multiple types fresh lemon

description: This dataset is prepared for publishing in Data in Brief in order to contribute to the AI and Agriculture research field. The dataset comprises 1,956 Original and 43,000 Augmented images. Two major classes, such as Fresh and Rotten Lemon available, where fresh lemon has 7different sub classes. The types of seven lemon are Meyer lemon, Eureka lemon, Citron lemon, Assam lemon, Desi kagzi type-1 and type-2 lemon, and Elachi lemon. The dataset is not balance which helps AI researchers to think differently, apply their idea and knowledge to overcome AI weaknesses. The pixel size of each image is 900*1200, which reflects the perfect quality to have detailed features about images.
DOI: 10.17632/2bk4bm4jps.2
title: Raw Data of “High-Temperature Performance, Reliability, and Sensing Application of AlN and LGS Surface Acoustic Wave Resonators”

description: Manuscript original data
DOI: 10.17632/smcr58spsx.1
title: Dataset of spectra and biochemical profiles of shallots under water deficit stress

description: This dataset contains Vis/NIR spectroscopy data collected from 144 samples (three varieties). Data are available as .xlsx and .unsb file extension formats.