cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p13erf6p
title: Data (VNIR-SWIR reflectance, TIR emissivity, XRD and ATR-FTIR) Supporting Analyses of NYF Pegmatite and Garnet-Biotite Gneiss Rocks from Amelia County, Virginia

description: This data set represents laboratory measurements conducted on a suite of select 53 pegmatite and host rock samples to better spectrally characterize complex pegmatite minerals. Of these 53 samples that were measured and analyzed, this includes 24 samples collected from the Morefield Mine, Amelia County, VA, six samples from the Martin-Marietta Amelia Quarry, Amelia County, VA, three samples from the Piedmont-Carolina Mine, NC, nine mineral samples from across central Virginia preserved by Virginia Energy, and eleven samples from drillcores of Morefield Mine preserved by Virginia Energy. The data were obtained in support of developing indices to guide critical mineral resource assessments, primarily with hyperspectral lab analysis with two instruments. Visible through near infrared through shortwave infrared (VNIR-SWIR, ~0.4 – 2.5 microns) reflectance measurements are obtained with an artificial light source connected to an Analytical Spectral Devices (ASD) spectrometer. Thermal infrared (TIR, ~2-15 microns) emissivity measurements are obtained with the Nicolet Fourier transform infrared spectrometer (Nicolet). To supplement these hyperspectral lab analytical techniques, other instruments were used to help guide the mineral identification of selected samples. Attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) was measured in one sample from Morefield Mine. Eight samples from Morefield Mine and one sample from the Martin-Marietta Amelia Quarry were analyzed using x-ray diffraction (XRD). Using these data can inform critical mineral assessments by indicating which units are more likely to provide the desired resource.
DOI: 10.15468/dl.82qqtx
title: Occurrence Download

description: A dataset containing 10491 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rissoa parva"
 ]
}

 The dataset includes 10491 records from 188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015318-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2b3ftd
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia acuminata",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015321-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.je2fr4
title: Occurrence Download

description: A dataset containing 45673 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "TaxonKey is Luscinia megarhynchos",
 "Year 2021-2025"
 ]
}

 The dataset includes 45673 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015317-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttm9z3
title: Occurrence Download

description: A dataset containing 1655 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "Geometry POLYGON ((131.8741 37.03714, 132.0562 37.10347, 132.1094 37.17538, 132.1217 37.25726, 132.0218 37.40349, 131.83 37.44619, 131.6662 37.37126, 131.6114 37.22438, 131.6946 37.0916, 131.8741 37.03714))",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1655 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015323-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bczht3
title: Occurrence Download

description: A dataset containing 63384523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 63384523 records from 1906 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015243-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10556178
title: ⏳ endoflife.date database (duckdb)
DOI: 10.4121/79b87757-2af5-4a12-a012-afc936a731e0
title: Port of Seba Resilience Evaluation - Case Study Dataset

description: This dataset is part of Arry Destyanto’s dissertation “A Method for Evaluating Port Resilience in an Archipelago”, funded by Lembaga Pengelola Dana Pendidikan (LPDP). The study developed a method consisting of 4 analysis phases to evaluate a port’s resilience.<br>This dataset is used in the third case study, which applies the port resilience evaluation method in the Port of Seba. The method was tested in the context of a public multi-purpose port in Indonesia as an archipelago.<br>This dataset is in .zip format, which, when extracted, consists of:- Folder 1 - Dataset used for phase 1 (Island Connectivity Analysis)- Folder 2 - Dataset used for phase 2 (Resilience Curve Analysis)- Folder 3 - Dataset used for phase 3 (Disaster Impact Analysis)<br>Additional note:The implementation of phase 4 used the analysis of official documents and mass articles listed in the dissertation.
DOI: 10.4121/79b87757-2af5-4a12-a012-afc936a731e0.v1
title: Port of Seba Resilience Evaluation - Case Study Dataset

description: This dataset is part of Arry Destyanto’s dissertation “A Method for Evaluating Port Resilience in an Archipelago”, funded by Lembaga Pengelola Dana Pendidikan (LPDP). The study developed a method consisting of 4 analysis phases to evaluate a port’s resilience.<br>This dataset is used in the third case study, which applies the port resilience evaluation method in the Port of Seba. The method was tested in the context of a public multi-purpose port in Indonesia as an archipelago.<br>This dataset is in .zip format, which, when extracted, consists of:- Folder 1 - Dataset used for phase 1 (Island Connectivity Analysis)- Folder 2 - Dataset used for phase 2 (Resilience Curve Analysis)- Folder 3 - Dataset used for phase 3 (Disaster Impact Analysis)<br>Additional note:The implementation of phase 4 used the analysis of official documents and mass articles listed in the dissertation.
DOI: 10.6084/m9.figshare.28245278
title: CEOP Tsukuba reference site data in Japan

description: Data archive project for Tsukuba Science City was initiated under the Coordinated Energy and water cycle Observations Project for four years (2007-2010). Five institutes and one university in the Tsukuba city contribute to archive the hydro-meteorological data in the uniformed format. Intensive observation network of the observation sites is quite beneficial for the assessment of sub-grid scale surface meteorological data heterogeneity.At present, http://www.geoenv.tsukuba.ac.jp/~ceoptsukuba/ is the main source for detailed information regarding the project and access to the data.Data can be also downloaded from following address (Jan., 2024)https://www.geoenv.tsukuba.ac.jp/~ceoptsukuba/data/data_accessJ.html
DOI: 10.6084/m9.figshare.28245278.v3
title: CEOP Tsukuba reference site data in Japan

description: Data archive project for Tsukuba Science City was initiated under the Coordinated Energy and water cycle Observations Project for four years (2007-2010). Five institutes and one university in the Tsukuba city contribute to archive the hydro-meteorological data in the uniformed format. Intensive observation network of the observation sites is quite beneficial for the assessment of sub-grid scale surface meteorological data heterogeneity.At present, http://www.geoenv.tsukuba.ac.jp/~ceoptsukuba/ is the main source for detailed information regarding the project and access to the data.Data can be also downloaded from following address (Jan., 2024)https://www.geoenv.tsukuba.ac.jp/~ceoptsukuba/data/data_accessJ.html
DOI: 10.6084/m9.figshare.28245278.v2
title: CEOP Tsukuba reference site data in Japan

description: Data archive project for Tsukuba Science City was initiated under the Coordinated Energy and water cycle Observations Project for four years (2007-2010). Five institutes and one university in the Tsukuba city contribute to archive the hydro-meteorological data in the uniformed format. Intensive observation network of the observation sites is quite beneficial for the assessment of sub-grid scale surface meteorological data heterogeneity.At present, http://www.geoenv.tsukuba.ac.jp/~ceoptsukuba/ is the main source for detailed information regarding the project and access to the data.Data can be also downloaded from following address (Jan., 2024)https://www.geoenv.tsukuba.ac.jp/~ceoptsukuba/data/data_accessJ.html
DOI: 10.4121/b11a5d06-e65a-479c-9259-456c15a16e5d
title: Port of Mamuju Simboro Resilience Evaluation - Case Study Dataset

description: This dataset is part of Arry Destyanto’s dissertation “A Method for Evaluating Port Resilience in an Archipelago”, funded by Lembaga Pengelola Dana Pendidikan (LPDP). The study developed a method consisting of 4 analysis phases to evaluate a port’s resilience.<br>This dataset is used in the third case study, which applies the port resilience evaluation method in the Port of Mamuju Simboro. The method was tested in the context of a public passenger port in Indonesia as an archipelago.<br>This dataset is in .zip format, which, when extracted, consists of:- Folder 1 - Dataset used for phase 1 (Island Connectivity Analysis)- Folder 2 - Dataset used for phase 2 (Resilience Curve Analysis)<br>Additional note:Phase 3 and Phase 4 implementation used the analysis of official documents and mass articles listed in the dissertation.
DOI: 10.4121/b11a5d06-e65a-479c-9259-456c15a16e5d.v1
title: Port of Mamuju Simboro Resilience Evaluation - Case Study Dataset

description: This dataset is part of Arry Destyanto’s dissertation “A Method for Evaluating Port Resilience in an Archipelago”, funded by Lembaga Pengelola Dana Pendidikan (LPDP). The study developed a method consisting of 4 analysis phases to evaluate a port’s resilience.<br>This dataset is used in the third case study, which applies the port resilience evaluation method in the Port of Mamuju Simboro. The method was tested in the context of a public passenger port in Indonesia as an archipelago.<br>This dataset is in .zip format, which, when extracted, consists of:- Folder 1 - Dataset used for phase 1 (Island Connectivity Analysis)- Folder 2 - Dataset used for phase 2 (Resilience Curve Analysis)<br>Additional note:Phase 3 and Phase 4 implementation used the analysis of official documents and mass articles listed in the dissertation.
DOI: 10.5281/zenodo.14524542
title: ADMIT 22NRM06 - Voltage and Current Waveforms Dataset with 500 kHz Sampling Frequency

description: Title: Voltage and Current Waveforms Dataset with 500 kHz Sampling Frequency

Please refer to 10.5281/zenodo.14723238
DOI: 10.5281/zenodo.14524543
title: ADMIT 22NRM06 - Voltage and Current Waveforms Dataset with 500 kHz Sampling Frequency

description: Title: Voltage and Current Waveforms Dataset with 500 kHz Sampling Frequency

Abstract:This dataset contains time-series data set of voltage waveforms and two current waveforms, sampled at a frequency of 500 kHz over a time duration of 0.04 seconds. The data is ideal for analyzing electrical signal characteristics, waveform processing, and modeling power systems.

Description:The dataset comprises three synchronized waveforms:



Voltage waveform: A single-channel time-series signal representing the voltage.

Current waveforms: Two single-channel time-series signals representing the currents.


The data is captured with high precision, ensuring accurate representation of the waveform dynamics. The sampling rate of 500 kHz allows for detailed analysis of high-frequency components. The total duration of each waveform is 0.04 seconds, providing sufficient resolution for transient and steady-state analysis. The data set waveforms are obtained from measurement campaign activity conducted in 2024 for ADMIT Project.

File Format:The dataset is stored in MAT format. Each file includes:



Voltage (in kV) 5x20000

Current 1 (in A) 5x20000

Current 2 (in A) 5x20000


the time array can be obtained by using this command:

fs = 500e3;                    %Sampling frequency in HzTa = 0.04;                      %Time duration in secondstime = 0:1/fs:Ta-1/fs;    %Time array

Applications:This dataset can be used for various purposes, including but not limited to:



Signal processing and feature extraction

Electrical power system modeling

Machine learning and classification tasks

Benchmarking algorithms for transient detection


Acknowledgments:The project 22NRM06 ADMIT has received funding fromthe European Partnership on Metrology, co-financed by theEuropean Union’s Horizon Europe Research and InnovationProgramme and by the Participating States.

Keywords:Voltage waveform, current waveform, electrical signals, time-series data, high-frequency sampling, transient analysis, signal processing

Licensing:Creative Commons Attribution 4.0 International
DOI: 10.5281/zenodo.14723289
title: ADMIT 22NRM06 - Voltage and Current Waveforms Dataset with 500 kHz Sampling Frequency

description: Title: Voltage and Current Waveforms Dataset with 500 kHz Sampling Frequency

Please refer to 10.5281/zenodo.14723238
DOI: 10.5281/zenodo.14723238
title: ADMIT Measurement Campaign - Voltage and Current Waveforms Dataset with 500 kHz Sampling Frequency

description: Title: Voltage and Current Waveforms Dataset with 500 kHz Sampling Frequency

Abstract:This dataset contains time-series data set of voltage waveforms and two current waveforms, sampled at a frequency of 500 kHz over a time duration of 0.04 seconds. The data is ideal for analyzing electrical signal characteristics, waveform processing, and modeling power systems.

Description:The dataset comprises three synchronized waveforms:



Voltage waveform: A single-channel time-series signal representing the voltage.

Current waveforms: Two single-channel time-series signals representing the currents.


The data is captured with high precision, ensuring accurate representation of the waveform dynamics. The sampling rate of 500 kHz allows for detailed analysis of high-frequency components. The total duration of each waveform is 0.04 seconds, providing sufficient resolution for transient and steady-state analysis. The data set waveforms are obtained from measurement campaign activity conducted in 2024 for ADMIT Project.

File Format:The dataset is stored in MAT format. Each file includes:



Voltage (in kV) 5x20000

Current 1 (in A) 5x20000

Current 2 (in A) 5x20000


the time array can be obtained by using this command:

fs = 500e3;                    %Sampling frequency in HzTa = 0.04;                      %Time duration in secondstime = 0:1/fs:Ta-1/fs;    %Time array

Applications:This dataset can be used for various purposes, including but not limited to:



Signal processing and feature extraction

Electrical power system modeling

Machine learning and classification tasks

Benchmarking algorithms for transient detection


Acknowledgments:The project 22NRM06 ADMIT has received funding fromthe European Partnership on Metrology, co-financed by theEuropean Union’s Horizon Europe Research and InnovationProgramme and by the Participating States.

Keywords:Voltage waveform, current waveform, electrical signals, time-series data, high-frequency sampling, transient analysis, signal processing

Licensing:Creative Commons Attribution 4.0 International
DOI: 10.5281/zenodo.14723239
title: ADMIT Measurement Campaign - Voltage and Current Waveforms Dataset with 500 kHz Sampling Frequency

description: Title: Voltage and Current Waveforms Dataset with 500 kHz Sampling Frequency

Abstract:This dataset contains time-series data set of voltage waveforms and two current waveforms, sampled at a frequency of 500 kHz over a time duration of 0.04 seconds. The data is ideal for analyzing electrical signal characteristics, waveform processing, and modeling power systems.

Description:The dataset comprises three synchronized waveforms:



Voltage waveform: A single-channel time-series signal representing the voltage.

Current waveforms: Two single-channel time-series signals representing the currents.


The data is captured with high precision, ensuring accurate representation of the waveform dynamics. The sampling rate of 500 kHz allows for detailed analysis of high-frequency components. The total duration of each waveform is 0.04 seconds, providing sufficient resolution for transient and steady-state analysis. The data set waveforms are obtained from measurement campaign activity conducted in 2024 for ADMIT Project.

File Format:The dataset is stored in MAT format. Each file includes:



Voltage (in kV) 5x20000

Current 1 (in A) 5x20000

Current 2 (in A) 5x20000


the time array can be obtained by using this command:

fs = 500e3;                    %Sampling frequency in HzTa = 0.04;                      %Time duration in secondstime = 0:1/fs:Ta-1/fs;    %Time array

Applications:This dataset can be used for various purposes, including but not limited to:



Signal processing and feature extraction

Electrical power system modeling

Machine learning and classification tasks

Benchmarking algorithms for transient detection


Acknowledgments:The project 22NRM06 ADMIT has received funding fromthe European Partnership on Metrology, co-financed by theEuropean Union’s Horizon Europe Research and InnovationProgramme and by the Participating States.

Keywords:Voltage waveform, current waveform, electrical signals, time-series data, high-frequency sampling, transient analysis, signal processing

Licensing:Creative Commons Attribution 4.0 International
DOI: 10.5281/zenodo.14723299
title: Native, invasive and global (joint native and invasive) distribution datasets of Spodoptera frugiperda used in modelling potential distribution and niche shift of the species

description: The upload consists of three .csv files containing occurrence points in WGS84 CRS (EPSG:4326) of Spodoptera frugiperda (FAW) collected from various sources. These include the Global Biodiversity Information Facility database (GBIF, https://doi.org/10.15468/dl.uawgbp), the EPPO database (https://gd.eppo.int/taxon/LAPHFR) and multiple literature sources. Initial 5813 occurrences from the species native range (Central and South America) and 477 occurrences from the species invasive range (Africa, Asia, Australia) were cross-checked between all sources to eliminate duplicate records. Additionally, occurences closer than 2.5 arc-minutes (~3.27 km) were filtered out to reduce sampling bias using the ecospat R package. Records outside the pixels of the environmental layers used to build the SDMs were also filtered out. 

After all three steps, 1439 occurrences of FAW remained (global dataset), divided into 1255 occurrences of FAW in the native range (native dataset) and 184 occurrences in the invasive range (invasive dataset), which were used for modeling the species potential distribution and analysis of niche shift.
DOI: 10.5281/zenodo.14723300
title: Native, invasive and global (joint native and invasive) distribution datasets of Spodoptera frugiperda used in modelling potential distribution and niche shift of the species

description: The upload consists of three .csv files containing occurrence points in WGS84 CRS (EPSG:4326) of Spodoptera frugiperda (FAW) collected from various sources. These include the Global Biodiversity Information Facility database (GBIF, https://doi.org/10.15468/dl.uawgbp), the EPPO database (https://gd.eppo.int/taxon/LAPHFR) and multiple literature sources. Initial 5813 occurrences from the species native range (Central and South America) and 477 occurrences from the species invasive range (Africa, Asia, Australia) were cross-checked between all sources to eliminate duplicate records. Additionally, occurences closer than 2.5 arc-minutes (~3.27 km) were filtered out to reduce sampling bias using the ecospat R package. Records outside the pixels of the environmental layers used to build the SDMs were also filtered out. 

After all three steps, 1439 occurrences of FAW remained (global dataset), divided into 1255 occurrences of FAW in the native range (native dataset) and 184 occurrences in the invasive range (invasive dataset), which were used for modeling the species potential distribution and analysis of niche shift.
DOI: 10.25375/uct.23667546
title: Data for manuscript: Good vibrations: Remote-tactile foraging success of wading birds is positively affected by the water content of substrates they forage in

description: R scripts and data used for the manuscript (each data entry represents a single trial)
DOI: 10.25375/uct.23667546.v1
title: Data for manuscript: Good vibrations: Remote-tactile foraging success of wading birds is positively affected by the water content of substrates they forage in

description: R scripts and data used for the manuscript (each data entry represents a single trial)
DOI: 10.15468/dl.cer2rx
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Zimbabwe",
 "TaxonKey is Lantana camara L."
 ]
}

 The dataset includes 109 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002282-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjzz46
title: Occurrence Download

description: A dataset containing 803 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Faunal survey of Ahmedabad Metro Rail Project, Phase II"
 ]
}

 The dataset includes 803 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002281-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4shj8
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Paeonia albiflora Pall."
 ]
}

 The dataset includes 177 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002277-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33jg8r
title: Occurrence Download

description: A dataset containing 10061 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camelus dromedarius Linnaeus, 1758"
 ]
}

 The dataset includes 10061 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002290-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpaeyh
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dryomys nitedula (Pallas, 1778)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 76 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002276-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.