cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.nem97s
title: Occurrence Download

description: A dataset containing 42721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.2278 43.08474,-5.22598 43.0855,-5.22019 43.08365,-5.20936 43.08717,-5.20858 43.09036,-5.20306 43.09701,-5.20413 43.10152,-5.19859 43.10985,-5.19906 43.11245,-5.1955 43.11577,-5.19106 43.11518,-5.18858 43.11711,-5.19091 43.1257,-5.19455 43.12734,-5.19609 43.13248,-5.2075 43.13584,-5.2138 43.14052,-5.21585 43.14684,-5.21451 43.15082,-5.21643 43.15502,-5.21381 43.15841,-5.21622 43.16603,-5.21428 43.17285,-5.2222 43.17553,-5.23813 43.17627,-5.25289 43.185,-5.25435 43.18924,-5.25291 43.18981,-5.25787 43.1983,-5.24975 43.20615,-5.24899 43.2117,-5.26774 43.21655,-5.29016 43.22639,-5.28558 43.23625,-5.28619 43.23984,-5.29036 43.24103,-5.28911 43.24439,-5.29218 43.24908,-5.29811 43.25155,-5.30122 43.25122,-5.30786 43.25588,-5.31443 43.25741,-5.32464 43.25378,-5.32898 43.25405,-5.33577 43.24856,-5.3514 43.25467,-5.36757 43.25053,-5.37234 43.25745,-5.37643 43.25749,-5.3781 43.26171,-5.38188 43.26374,-5.3824 43.26838,-5.38524 43.27046,-5.38763 43.27693,-5.40924 43.26811,-5.40952 43.26999,-5.41154 43.2708,-5.41904 43.27118,-5.41929 43.26869,-5.4164 43.2657,-5.41654 43.26057,-5.41991 43.26062,-5.42293 43.25721,-5.42864 43.25504,-5.43867 43.25635,-5.44232 43.25341,-5.44663 43.25253,-5.45365 43.25549,-5.46059 43.25534,-5.46687 43.26124,-5.4655 43.25802,-5.46655 43.2564,-5.4773 43.25593,-5.47095 43.24999,-5.47048 43.24453,-5.47316 43.24279,-5.47255 43.23568,-5.47602 43.23231,-5.48446 43.23242,-5.48669 43.22736,-5.48328 43.22049,-5.4864 43.21806,-5.4854 43.20947,-5.48646 43.20588,-5.48838 43.20224,-5.50142 43.19744,-5.50156 43.18922,-5.5053 43.18389,-5.5035 43.18068,-5.50563 43.17591,-5.50472 43.17322,-5.50848 43.16388,-5.51994 43.16186,-5.52025 43.15776,-5.51785 43.15016,-5.50328 43.14283,-5.50193 43.13569,-5.49999 43.13422,-5.4854 43.13271,-5.47825 43.12877,-5.46373 43.1342,-5.45895 43.12853,-5.45233 43.12622,-5.44778 43.12235,-5.44267 43.12136,-5.44013 43.11542,-5.43992 43.11018,-5.42842 43.10583,-5.42171 43.09981,-5.42055 43.09467,-5.41276 43.08957,-5.40746 43.08818,-5.40753 43.0843,-5.40935 43.08192,-5.40857 43.07835,-5.4004 43.08079,-5.39433 43.08021,-5.3831 43.08724,-5.37778 43.08833,-5.36914 43.09458,-5.36221 43.09531,-5.34369 43.09385,-5.33849 43.09094,-5.34145 43.08378,-5.32595 43.07945,-5.31907 43.07976,-5.31719 43.08272,-5.3115 43.08416,-5.30425 43.08248,-5.30107 43.08003,-5.28212 43.07743,-5.28083 43.0811,-5.27364 43.08602,-5.25023 43.08918,-5.24032 43.08856,-5.23304 43.08463,-5.2278 43.08474))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 42721 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006093-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uur58b
title: Occurrence Download

description: A dataset containing 4566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Boerhavia diffusa L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 4566 records from 310 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006094-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14973844
title: O'ZBEKISTONADA TURIZMNI RIVOJLANTIRISHNING TASHKILIY-HUQUQIY ASOSALARI

description: Mazkur maqolada O‘zbekistonda turizm sohasining rivojlanishining tashkiliy-huquqiy asoslarining mazmun mohiyati aks ettirilgan. O’zbekiston Respublikasining Prezidenti farmon va qarorlari turizm sohasini rivojlantirishga qaratilgan. Bu esa mamlakatimizga sayyohlar oqimini keng targ’ib qilish zamonaviy talablarga javob beradigan mehmonxonalarni,turistik zonalarni, ma’daniy va boy tarixiy muzeylarni,obidalarni,yodgorlilarni,majmualarni sonini va sifatini takomillashtirishga amaliy yordam beradi.
DOI: 10.5281/zenodo.14973845
title: O'ZBEKISTONADA TURIZMNI RIVOJLANTIRISHNING TASHKILIY-HUQUQIY ASOSALARI

description: Mazkur maqolada O‘zbekistonda turizm sohasining rivojlanishining tashkiliy-huquqiy asoslarining mazmun mohiyati aks ettirilgan. O’zbekiston Respublikasining Prezidenti farmon va qarorlari turizm sohasini rivojlantirishga qaratilgan. Bu esa mamlakatimizga sayyohlar oqimini keng targ’ib qilish zamonaviy talablarga javob beradigan mehmonxonalarni,turistik zonalarni, ma’daniy va boy tarixiy muzeylarni,obidalarni,yodgorlilarni,majmualarni sonini va sifatini takomillashtirishga amaliy yordam beradi.
DOI: 10.5281/zenodo.14973853
title: AI in Software Engineering: Perceived Roles and Their Impact on Adoption

description: This is the questionnaire for the paper AI in Software Engineering: Perceived Roles and Their Impact onAdoption
DOI: 10.5281/zenodo.14973854
title: AI in Software Engineering: Perceived Roles and Their Impact on Adoption

description: This is the questionnaire for the paper AI in Software Engineering: Perceived Roles and Their Impact onAdoption
DOI: 10.15468/dl.bya62c
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malcolmia africana (L.) R.Br.",
 "Geometry POLYGON((-4.57907617500001 39.884719509, -4.57907617500001 41.165844755, -3.05298331400002 41.165844755, -3.05298331400002 39.884719509, -4.57907617500001 39.884719509))"
 ]
}

 The dataset includes 69 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006089-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14973833
title: 4DHydro_Results_Tetis_Po_30sec_daily_exp34_20070101_20221231

description: Modeling results with TETIS software, for Po River with a spatial resolution of 30 sec, and temporal resolution daily. Experiment 34. Forcing "mergedera5gpmsm2a". Calibrating methodology MOSCEM, calibrated variable SM+ET

Includes results for the following variables:



Discharge flux in m-3 s-1

Volumetric soil moisture content in percentage

Total water storage content in kg m-2

Total evapotranspiration flux in kg m-2 s-1

Snow water equivalent in kg m-2
DOI: 10.5281/zenodo.14973834
title: 4DHydro_Results_Tetis_Po_30sec_daily_exp34_20070101_20221231

description: Modeling results with TETIS software, for Po River with a spatial resolution of 30 sec, and temporal resolution daily. Experiment 34. Forcing "mergedera5gpmsm2a". Calibrating methodology MOSCEM, calibrated variable SM+ET

Includes results for the following variables:



Discharge flux in m-3 s-1

Volumetric soil moisture content in percentage

Total water storage content in kg m-2

Total evapotranspiration flux in kg m-2 s-1

Snow water equivalent in kg m-2
DOI: 10.5281/zenodo.14900604
title: EPR spectra of Nitrobenzene with Lewis bases

description: Electron paramagnetic data for the characterisation of the radical formed upon reaction of nitrobenzene and multiple Lewis bases.

The folder structure is as follows:

Base
├── Concentration│   ├── Nitrobenzene_Base_molar_ratio
│   │    ├── data.DSC│   │    ├── data.DTA│   │    ├── fit.DSC
│   │    └── fit.DTA│   ├── Nitrobenzene_Base_Chelate_molar_ratio
│   │    ├── data.DSC│   │    ├── data.DTA│   │    ├── fit.DSC
│   │    └── fit.DTA

Where Base is the employed Lewis base to run the experiment (tBuLi, LDA, NaiPrCp, LiOtBu, NaOtBu, KOtBu, LiHMDS, NaHMDS, KHMKDS)├──Concentration is the milliMolar concentration of nitrobenzene, │   ├── Nitrobenzene_Base_molar_ratio indicates the employed molar ratio between nitrobenzene and base, and │   ├── Nitrobenzene_Base_Chelate_molar_ratio, if present, indicates the employed molar ratio between nitrobenzene, base and a ligand (222 Cryptand, 15-Crown-5, 12-Crown-4) used to chelate the alkali metal.Inside each folder, the raw *.DSC and *.DTA Bruker files are given, and if available, their fit as well.The filenames contain the power attenuation (dB), modulation amplitude (Gauss) and number of scans used to record the data.
DOI: 10.5281/zenodo.14900603
title: EPR and NMR spectra upon reaction of nitrobenzene with Lewis bases

description: Spectroscopic data for the characterisation of the nitrobenzenide radical anion formed upon reaction of nitrobenzene with multiple anionic organo bases.

The parent folder contains two main directories with spectroscopic data. One focuses on electronic paramagnetic resonance (EPR) and the other one on nuclear magnetic resonance (NMR).

EPR folder

The folder structure is as follows:

Base
├── Concentration│   ├── Nitrobenzene_Base_molar_ratio
│   │    ├── data.DSC│   │    ├── data.DTA│   │    ├── data.txt│   │    ├── fit.DSC
│   │    ├── fit.DTA
│   │    └── fit.txt│   ├── Nitrobenzene_Base_Chelate_molar_ratio
│   │    ├── data.DSC│   │    ├── data.DTA│   │    ├── data.txt│   │    ├── fit.DSC
│   │    ├── fit.DTA
│   │    └── fit.txt

Where Base is the employed Lewis base to run the experiment (tBuLi, LDA, NaiPrCp, LiOtBu, NaOtBu, KOtBu, LiHMDS, NaHMDS, KHMKDS)├──Concentration is the milliMolar concentration of nitrobenzene, │   ├── Nitrobenzene_Base_molar_ratio indicates the employed molar ratio between nitrobenzene and base, and │   ├── Nitrobenzene_Base_Chelate_molar_ratio, if present, indicates the employed molar ratio between nitrobenzene, base and a ligand (222 Cryptand, 15-Crown-5, 12-Crown-4) used to chelate the alkali metal.Inside each folder, the raw *.DSC and *.DTA Bruker files are given, and if available, their fit as well.Plain text, comma separated data.txt and fit.txt files, containing magnetic field in Gauss, converted g-values and measured signal intensities, are also provided.The filenames contain the power attenuation (dB), modulation amplitude (Gauss) and number of scans used to record the data.

NMR folder

The folder structure is as follows:

Molecule
├── Solvent│   └── Experiment
Where Molecule is the investigated system, running over NaOtBu, KHMDS and nitrobenzene, as well as their mixtures,├── Solvent is the employed deuterated solvent to record the NMR, │   └── Experiment is the experiment recorded, Note that Experiment can be:10 -> Mono-dimensional 1H NMR11 -> Two-dimensional 1H DOSY20 -> Monodimensional 2H NMR
DOI: 10.5281/zenodo.14968906
title: EPR and NMR spectra upon reaction of nitrobenzene with Lewis bases

description: Spectroscopic data for the characterisation of the nitrobenzenide radical anion formed upon reaction of nitrobenzene with multiple anionic organo bases.

The parent folder contains two main directories with spectroscopic data. One focuses on electronic paramagnetic resonance (EPR) and the other one on nuclear magnetic resonance (NMR).

EPR folder

The folder structure is as follows:

Base
├── Concentration│   ├── Nitrobenzene_Base_molar_ratio
│   │    ├── data.DSC│   │    ├── data.DTA│   │    ├── data.txt│   │    ├── fit.DSC
│   │    ├── fit.DTA
│   │    └── fit.txt│   ├── Nitrobenzene_Base_Chelate_molar_ratio
│   │    ├── data.DSC│   │    ├── data.DTA│   │    ├── data.txt│   │    ├── fit.DSC
│   │    ├── fit.DTA
│   │    └── fit.txt

Where Base is the employed Lewis base to run the experiment (tBuLi, LDA, NaiPrCp, LiOtBu, NaOtBu, KOtBu, LiHMDS, NaHMDS, KHMKDS)├──Concentration is the milliMolar concentration of nitrobenzene, │   ├── Nitrobenzene_Base_molar_ratio indicates the employed molar ratio between nitrobenzene and base, and │   ├── Nitrobenzene_Base_Chelate_molar_ratio, if present, indicates the employed molar ratio between nitrobenzene, base and a ligand (222 Cryptand, 15-Crown-5, 12-Crown-4) used to chelate the alkali metal.Inside each folder, the raw *.DSC and *.DTA Bruker files are given, and if available, their fit as well.Plain text, comma separated data.txt and fit.txt files, containing magnetic field in Gauss, converted g-values and measured signal intensities, are also provided.The filenames contain the power attenuation (dB), modulation amplitude (Gauss) and number of scans used to record the data.

NMR folder

The folder structure is as follows:

Molecule
├── Solvent│   └── Experiment
Where Molecule is the investigated system, running over NaOtBu, KHMDS and nitrobenzene, as well as their mixtures,├── Solvent is the employed deuterated solvent to record the NMR, │   └── Experiment is the experiment recorded, Note that Experiment can be:10 -> Mono-dimensional 1H NMR11 -> Two-dimensional 1H DOSY20 -> Monodimensional 2H NMR
DOI: 10.5281/zenodo.14973897
title: Koalas in the Wild

description: Description:







The Koalas in the Wild dataset captures images of koalas across various states in Australia, providing a valuable resource for studying koalas in their natural habitat. Koalas, an iconic native species of Australia, have faced increasing threats over the years due to habitat destruction, climate change, and particularly the devastating bushfires that swept across the country in recent times.







Download Dataset









Data Collection Process

The images in this dataset were scraped from the iNaturalist platform, which is widely used by citizen scientists and wildlife enthusiasts to document and share observations of species around the world. Each image in this dataset represents unique sightings of koalas in the wild, offering diverse perspectives from different states of Australia.

To ensure high-quality annotations, the dataset includes manual labeling of the x and y coordinates for each koala in the images. These annotations provide bounding box coordinates, offering a precise localization of the koalas within each image. The annotations are stored in a CSV file that contains the minimum and maximum values of the x and y-axis for every image.

Dataset Structure

The dataset consists of:



Images: 2,100 images of koalas from different Australian states, each with varying backgrounds and settings, depicting koalas in the wild.

Annotations: A CSV file with manually annotated bounding boxes, specifying the minimum and maximum x and y coordinates for each koala in the corresponding image.


Each row in the CSV file corresponds to a unique image and includes:



Image ID: The identifier for the image.

Bounding Box Coordinates: Minimum and maximum x and y values, outlining the koala’s location in the image.


Use Cases

This dataset can be used in a variety of applications:



Wildlife Conservation: Assisting conservationists in tracking koala populations and understanding their movement patterns.

Machine Learning & Computer Vision: Training object detection models to identify koalas in the wild, even in complex environments.

Ecological Research: Analyzing the effects of environmental changes, particularly bushfires, on koala habitats and behavior.


This dataset is sourced from Kaggle.
DOI: 10.5281/zenodo.14973898
title: Koalas in the Wild

description: Description:







The Koalas in the Wild dataset captures images of koalas across various states in Australia, providing a valuable resource for studying koalas in their natural habitat. Koalas, an iconic native species of Australia, have faced increasing threats over the years due to habitat destruction, climate change, and particularly the devastating bushfires that swept across the country in recent times.







Download Dataset









Data Collection Process

The images in this dataset were scraped from the iNaturalist platform, which is widely used by citizen scientists and wildlife enthusiasts to document and share observations of species around the world. Each image in this dataset represents unique sightings of koalas in the wild, offering diverse perspectives from different states of Australia.

To ensure high-quality annotations, the dataset includes manual labeling of the x and y coordinates for each koala in the images. These annotations provide bounding box coordinates, offering a precise localization of the koalas within each image. The annotations are stored in a CSV file that contains the minimum and maximum values of the x and y-axis for every image.

Dataset Structure

The dataset consists of:



Images: 2,100 images of koalas from different Australian states, each with varying backgrounds and settings, depicting koalas in the wild.

Annotations: A CSV file with manually annotated bounding boxes, specifying the minimum and maximum x and y coordinates for each koala in the corresponding image.


Each row in the CSV file corresponds to a unique image and includes:



Image ID: The identifier for the image.

Bounding Box Coordinates: Minimum and maximum x and y values, outlining the koala’s location in the image.


Use Cases

This dataset can be used in a variety of applications:



Wildlife Conservation: Assisting conservationists in tracking koala populations and understanding their movement patterns.

Machine Learning & Computer Vision: Training object detection models to identify koalas in the wild, even in complex environments.

Ecological Research: Analyzing the effects of environmental changes, particularly bushfires, on koala habitats and behavior.


This dataset is sourced from Kaggle.
DOI: 10.5281/zenodo.14973918
title: 123
DOI: 10.5281/zenodo.14973919
title: 123
DOI: 10.5281/zenodo.14973863
title: 4DHydro_Results_Tetis_Po_15sec_daily_exp34_20070101_20221231

description: Modeling results with TETIS software, for Po River with a spatial resolution of 15 sec, and temporal resolution daily. Experiment 34. Forcing "mergedera5gpmsm2a". Calibrating methodology MOSCEM, calibrated variable SM+ET

Includes results for the following variables:



Discharge flux in m-3 s-1

Volumetric soil moisture content in percentage

Total water storage content in kg m-2

Total evapotranspiration flux in kg m-2 s-1

Snow water equivalent in kg m-2
DOI: 10.5281/zenodo.14973864
title: 4DHydro_Results_Tetis_Po_15sec_daily_exp34_20070101_20221231

description: Modeling results with TETIS software, for Po River with a spatial resolution of 15 sec, and temporal resolution daily. Experiment 34. Forcing "mergedera5gpmsm2a". Calibrating methodology MOSCEM, calibrated variable SM+ET

Includes results for the following variables:



Discharge flux in m-3 s-1

Volumetric soil moisture content in percentage

Total water storage content in kg m-2

Total evapotranspiration flux in kg m-2 s-1

Snow water equivalent in kg m-2
DOI: 10.15468/dl.y8dqc2
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malva aegyptia L.",
 "Geometry POLYGON((-4.57907617500001 39.884719509, -4.57907617500001 41.165844755, -3.05298331400002 41.165844755, -3.05298331400002 39.884719509, -4.57907617500001 39.884719509))"
 ]
}

 The dataset includes 33 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006090-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14973999
title: CNVkit-Based Detection of Copy Number Variations from RD-Connect GPAP synthetic data spiked-in variant data

description: This dataset is a subset derived from the original Zenodo BAM file collection (https://zenodo.org/records/7273767). It includes samples processed through CNVkit for detecting copy number variations, with only the regions of interest retained. The associated study focuses on genomic analysis using CNVkit-based methodologies.
DOI: 10.5281/zenodo.14974000
title: CNVkit-Based Detection of Copy Number Variations from RD-Connect GPAP synthetic data spiked-in variant data

description: This dataset is a subset derived from the original Zenodo BAM file collection (https://zenodo.org/records/7273767). It includes samples processed through CNVkit for detecting copy number variations, with only the regions of interest retained. The associated study focuses on genomic analysis using CNVkit-based methodologies.
DOI: 10.15468/dl.mpzfr8
title: Occurrence Download

description: A dataset containing 3760 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Boerhavia erecta L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 3760 records from 214 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006091-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14638240
title: Dataset for Thermochemical etching of polycrystalline diamond films by nickel

description: The data set to paper: 

Thermochemical etching of polycrystalline diamond films by nickel 

Ondrej Szabó*, Gabriel Vanko, Kateřina Aubrechtová Dragounová, Štěpán Potocký, Alexander Kromka 

Institute of Physics, Czech Academy of Sciences, Prague, Czech Republic 

*Corresponding author: szabo@fzu.cz

Data manager: Kristýna Dostálová: dostalovak@fzu.cz

Date of data collection: 11. 05. 2023 - 12. 1. 2025

All the data showed in the pictures are provided in X-Y format with described sample. Always, the respective figure to which the data belong is provided in high resolution. The data are in the following formats: Figure 1: tifFigure 2: tifFigure 3: tifFigure 4: tifFigure 5: tifFigure 6: tif, csvFigure 7: tif

The comma separated values file (csv) always contain the description of the columns in the first row. In case of composed image the name of the file corresponds to the corresponding figure.

Data acquistion and processing is provided in the Experimental part in the publication: DOI: 10.1016/j.diamond.2025.112164
DOI: 10.5281/zenodo.14638241
title: Dataset for Thermochemical etching of polycrystalline diamond films by nickel

description: The data set to paper: 

Thermochemical etching of polycrystalline diamond films by nickel 

Ondrej Szabó*, Gabriel Vanko, Kateřina Aubrechtová Dragounová, Štěpán Potocký, Alexander Kromka 

Institute of Physics, Czech Academy of Sciences, Prague, Czech Republic 

*Corresponding author: szabo@fzu.cz

Data manager: Kristýna Dostálová: dostalovak@fzu.cz

Date of data collection: 11. 05. 2023 - 12. 1. 2025

All the data showed in the pictures are provided in X-Y format with described sample. Always, the respective figure to which the data belong is provided in high resolution. The data are in the following formats: Figure 1: tifFigure 2: tifFigure 3: tifFigure 4: tifFigure 5: tifFigure 6: tif, csvFigure 7: tif

The comma separated values file (csv) always contain the description of the columns in the first row. In case of composed image the name of the file corresponds to the corresponding figure.

Data acquistion and processing is provided in the Experimental part in the publication: DOI: 10.1016/j.diamond.2025.112164