cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3265201
title: Dataset - Improved Isolation of Microbiologically Produced (2R,3S)-Isocitric Acid by Adsorption on Activated Carbon and Recovery with Methanol

description: This dataset in form of an Excel-format contains the data of the journal article “Improved Isolation of Microbiologically Produced Isocitric Acid by Adsorption on Activated Carbon and Recovery with Methanol”. The dataset shows the values of different experiments, calculations carried out for this publication.
DOI: 10.6073/pasta/3a9791b3d1b9160dc3488cd014c8d722
title: Jornada Basin LTER:  NPP C-SAND meteorological station: 30-minute summary data:  2013 - present

description: 30-minute summary data at NPP C-SAND met station. Average air temperature, relative humidity, wind
            speed, wind direction, and solar radiation are measured and calculated based on 1-second scan rate
            of sensors at an automated meteorological station installed at Jornada LTER NPP C-SAND site. Wind
            speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air
            temperature and relative humidity at approximate 2.5m. Solar radiation is measured at 3m. This
            climate station is operated by the Jornada LTER Program.     This is an ONGOING dataset.
DOI: 10.6073/pasta/fe3d9fd350237e6dfa1785f6f13c4c8e
title: Jornada Basin LTER:  NPP C-SAND meteorological station: 5-minute summary wind and air temperature
         data:  2013 - present

description: 5-minute summary data at NPP C-SAND met station. Average air temperature, wind speed and wind
            direction are measured and calculated based on 1-second scan rate of sensors at an automated
            meteorological station installed at Jornada LTER NPP C-SAND site. Wind speed is measured at 75 cm,
            150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m.
            This climate station is operated by the Jornada LTER Program.     This is an ONGOING dataset.
DOI: 10.21227/baeg-m011
title: Butterfly Specimens

description: For effectness verification of our proposed neural network, a total of 19,368 lab-made images of butterfly specimensspanning 48 sub-species areutilizedas testing samples, while 116,208 augmented images are employed for training.
DOI: 10.21227/rfdc-zh68
title: Butterfly Specimens

description: For effectness verification of our proposed neural network, a total of 19,368 lab-made images of butterfly specimensspanning 48 sub-species areutilizedas testing samples, while 116,208 augmented images are employed for training.
DOI: 10.5281/zenodo.3265188
title: SuperNNova light-curve simulations

description: Simulations used in SuperNNova: an open-source framework for Bayesian, Neural Network based supernova classification. Publication can be found in https://arxiv.org/abs/1901.06384 Supernova light-curves (1,983,213) simulated using SNANA and their SALT2 fit. Seven supernova templates are used: Ia, Ib, Ic, II-n, IIL1, IIL2, II-P. Data is similar to the SPCC data (Kessler et al. 2010). DES light-curves are built from supernova templates and use SALT2 SN Ia SED models (Guy et al. 2007) and the trained model from JLA (Betoule et al. 2014). Observing logs specifying the simulated cadence and conditions were included when available. Data format: SNANA format is structured in the following way: _HEAD.FITS provide the supernova light-curve ID (SNID) and global properties like redshift, coordinates, etc. _PHOT.FITS provides the photometry. It is order in the same way as _HEAD. Separators between light-curves are given by 'MJD'==-777.00 Other things to note: Subtypes can be identified by column SNTYPE in header "101": "Ia", "120": "IIP", "121": "IIn", "122": "IIL1", "123": "IIL2", "132": "Ib", "133": "Ic" To read and reformat to csv you can use SuperNNova or this utility SNANA_FITS_to_pd.py
DOI: 10.5281/zenodo.3265189
title: SuperNNova light-curve simulations

description: Simulations used in SuperNNova: an open-source framework for Bayesian, Neural Network based supernova classification. Publication can be found in https://arxiv.org/abs/1901.06384 Supernova light-curves (1,983,213) simulated using SNANA and their SALT2 fit. Seven supernova templates are used: Ia, Ib, Ic, II-n, IIL1, IIL2, II-P. Data is similar to the SPCC data (Kessler et al. 2010). DES light-curves are built from supernova templates and use SALT2 SN Ia SED models (Guy et al. 2007) and the trained model from JLA (Betoule et al. 2014). Observing logs specifying the simulated cadence and conditions were included when available. Data format: SNANA format is structured in the following way: _HEAD.FITS provide the supernova light-curve ID (SNID) and global properties like redshift, coordinates, etc. _PHOT.FITS provides the photometry. It is order in the same way as _HEAD. Separators between light-curves are given by 'MJD'==-777.00 Other things to note: Subtypes can be identified by column SNTYPE in header "101": "Ia", "120": "IIP", "121": "IIn", "122": "IIL1", "123": "IIL2", "132": "Ib", "133": "Ic" To read and reformat to csv you can use SuperNNova or this utility SNANA_FITS_to_pd.py
DOI: 10.5281/zenodo.3265015
title: Light Scattering by Roman window glass

description: This archive contains data-sets representing the light scattering properties of four samples of Roman window glass, as described in detail in Grobe, Noback, and Lang. Data-Driven Modelling of Daylight Scattering by Roman Window Glass. ACM Journal on Computing and Cultural Heritage (manuscript accepted with minor revisions). For each sample, a sub-directory contains the measured DSF (BSDF x cos theta) and a transmission and reflection model for use with the light simulation software Radiance. Each directory contains metadata in Dublin Core and Marc21 format, giving detailed information about the individual dataset.
description: Measuring and modelling of samples G1-G4 was supported by the Fritz Thyssen Foundation (Az. 20.18.0.006AA).
DOI: 10.15128/r29306sz30p
title: Wafer Defect Microscopy Enhancement using Perceptually Motivated Super-Resolution Convolutional Neural Networks [dataset]

description: The silicon super-resolution (SiSR) network is a new convolutional neural network for enhancing the inspection of defects in silicon devices. This paper demonstrates how the proposed SiSR network is able to upscale microscopy images of patterns and defects by x4 in each direction, aiding inspection in small--medium scale device fabrication. The alignment cameras of a laser-writer were repurposed to capture a large dataset of patterned wafer microscopy examples at two different magnification factors, but small misalignments between the low-resolution inputs and high-resolution targets made training SiSR using this dataset challenging. Three SiSR variants were trained with different objectives. Examples and test metrics were used to evaluate the perceptual quality and reconstruction accuracy for each variant, but no variant achieved superior performance in both. SiSR-C, trained with contextual loss, generated the most perceptually pleasing defects, was the least affected by misalignments in the training set, and would be the most suitable for deployment.
DOI: 10.6073/pasta/b7e706e370918c6ade4f0477db1eb9dd
title: Jornada Basin LTER:  NPP C-SAND meteorological station: 1-second summary precipitation data:  2013
         - present

description: 1-second summary precipitation data at NPP C-SAND met station. Total precipitation per second is
            recorded only if there is measurable precipitation. This is recorded at an automated meteorological
            station installed at Jornada LTER NPP C-SAND site.. This climate station is operated by the Jornada
            LTER Program.     This is an ONGOING dataset.         IMPORTANT: Rainfall is only recorded when a
            bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or
            other problems, there will be no indication of this within this dataset. The user needs to review
            precipitation values in the 30 minute or hourly summary datasets to determine if there are missing
            data in this 1 second detailed precipitation dataset. Reference the package i.d.'s
            knb-lter-jrn.210437018, knb-lter-jrn.210437033, and knb-lter-jrn.210437048 for the NPP C-SAND met
            station 30 minute, hourly, and daily summary datasets, respectively.
DOI: 10.5281/zenodo.3264760
title: Preprocessed C# Source Codes for Machine Learning

description: The dataset comes from the HackerRank site, 329,937 C# source codes of 22 tasks were collected and all verified by unit tests.

During the download process, source codes received only a unique serial number instead of the user name who solved the task and stored inside the 'task_name/origin' folder. After collecting the data, a new database was created, which included cleaned-up versions of the source codes ('task_name/cleaned' folders contains). Finally, a third set of data was extracted from this cleaned-up version, where a delimiter was inserted before and after each elementary expression to support easy processing and analysis processes ('task_name/reduced' folders contains). Inside the 'task_name' folder three csv files, which contain the equality checking result. The compressed folder also contains a vector space (and related files) made from the reduced data set. These four files are directly in the main folder.
DOI: 10.5281/zenodo.3264761
title: Preprocessed C# Source Codes for Machine Learning

description: The dataset comes from the HackerRank site, 329,937 C# source codes of 22 tasks were collected and all verified by unit tests.

During the download process, source codes received only a unique serial number instead of the user name who solved the task and stored inside the 'task_name/origin' folder. After collecting the data, a new database was created, which included cleaned-up versions of the source codes ('task_name/cleaned' folders contains). Finally, a third set of data was extracted from this cleaned-up version, where a delimiter was inserted before and after each elementary expression to support easy processing and analysis processes ('task_name/reduced' folders contains). Inside the 'task_name' folder three csv files, which contain the equality checking result. The compressed folder also contains a vector space (and related files) made from the reduced data set. These four files are directly in the main folder.
DOI: 10.6073/pasta/59d7b7108cd40503c514c44abc612831
title: Jornada Basin LTER:  NPP C-SAND meteorological station: 30-minute soil volumetric water content
         data:  2013 - present

description: 30-minute Soil Moisture data at NPP C-SAND met station. Collection of soil volumetric water content
            data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the
            Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content,
            bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every
            30 minutes at an automated meteorological station installed at Jornada LTER NPP C-SAND site.
            Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths.     This is an
            ONGOING dataset.
DOI: 10.6073/pasta/c9b57034b86e66ea81752dd8a9c9b09b
title: Jornada Basin LTER:  NPP C-SAND meteorological station: Daily average soil volumetric water content
         data:  2013 - present

description: Daily average of 30-minute Volumetric Water Content at NPP C-SAND met station. Collection of soil
            volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental
            monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water
            dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk
            dielectric permittivity are measured and calculated at an automated meteorological station
            installed at Jornada LTER NPP C-SAND site. The daily average at 3 soil depths is calculated from
            measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm.     This is an ONGOING dataset.
DOI: 10.17632/j92pszw9n7.1
title: Data for: An integrated microfluidic chip for treatment and detection of microalgae cells

description: Figure 1. Schematic of an automatic microalgae treatment and detection system. Figure 2. (a) Basic configuration of a Christmas-tree types microfluidic concentration gradient generator. (b) The equivalent electric circuit model corresponding to the fluid conduits in concentration gradient generator. (c) The flow equivalent diagram of the concentration gradient generator. (d) The simulated concentration profile in the concentration gradient generator, where the color scale denotes the relative concentration varying from 0% to 100%. Figure 3. The simulated concentration distribution and the relative fluorescence intensity measured at 6 different outlets of the concentration gradient generator using sodium fluorescein s a tracer. The inset fluorescence images are corresponding to six outlets. Experimental data are shown as Mean ± SD (n = 6). Figure 4. Normalized Platymonas cell activity under 20 min of NaClO treatment with gradient concentrations. Experimental data are shown as Mean ± SD (n = 6). Figure 5. The relative activity of (a) Platymonas, (b) Pyramimonas sp, (c) Chlorella, and (d) a mixture of all these species after treatment with NaClO under gradient concentrations for 20 min.
DOI: 10.5281/zenodo.3255388
title: Replication Package: Reducing the Maintenance Effort for Parameterization of Representative Load Tests Using Annotations

description: This is the replication package for the publication <em>Reducing the Maintenance Effort for Parameterization of Representative Load Tests Using Annotations</em>, Journal of Software Testing, Verification and Reliability (STVR), Special Issue on Testing Extra-Functional Properties. It contains the JSON/YAML schema of the Input Data and Properties Annotation (IDPA) as well as the experiment artifacts, the experiment results, and the R-scripts we used for the analysis.

The README.md (or README.pdf) contains further descriptions and instructions.
description: This work has been supported by the German Federal Ministry of Education and Research (grant no. 01IS17010, ContinuITy)
DOI: 10.5281/zenodo.3255389
title: Replication Package: Reducing the Maintenance Effort for Parameterization of Representative Load Tests Using Annotations

description: This is the replication package for the publication <em>Reducing the Maintenance Effort for Parameterization of Representative Load Tests Using Annotations</em>, Journal of Software Testing, Verification and Reliability (STVR), Special Issue on Testing Extra-Functional Properties. It contains the JSON/YAML schema of the Input Data and Properties Annotation (IDPA) as well as the experiment artifacts, the experiment results, and the R-scripts we used for the analysis.

The README.md (or README.pdf) contains further descriptions and instructions.
description: This work has been supported by the German Federal Ministry of Education and Research (grant no. 01IS17010, ContinuITy)
DOI: 10.6073/pasta/699b5e9af64d093eac69b1477a03a047
title: Jornada Basin LTER:  NPP G-BASN meteorological station: Daily summary data:  2013 - present

description: Daily summary data at NPP G-BASN met station. Average/maximum/minimum air temperature;
            average/maximum relative humidity and wind speed and average wind direction. These are measured and
            calculated based on 1-second scan rate of sensors at an automated meteorological station installed
            at Jornada LTER NPP G-BASN site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind
            direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This
            climate station is operated by the Jornada LTER Program.     This is an ONGOING dataset.
DOI: 10.6073/pasta/c2ca9d0c0ce27882f8ecf5d2865f2896
title: Jornada Basin LTER:  NPP G-BASN meteorological station: 30-minute summary data:  2013 - present

description: 30-minute summary data at NPP G-BASN met station. Average air temperature, relative humidity, wind
            speed and wind direction are measured and calculated based on 1-second scan rate of sensors at an
            automated meteorological station installed at Jornada LTER NPP G-BASN site. Wind speed is measured
            at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative
            humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program.
            This is an ONGOING dataset.
DOI: 10.17632/dfndb33597.1
title: Data for: Tree-Based Space Partition and Merging Ensemble Learning Framework for Imbalanced Problems

description: In the experiment of imbalanced problems, 50 imbalanced data sets from the Knowledge Extraction based on Evolutionary Learning (KEEL: http://www.keel.es/) are used in this paper. Every data set is a 5x3 cell with 5 rows and 3 columns. Every row corresponds to the data in one fold of the 5-folds cross-validation. The first column is the training data of minority class. The second column is the training data of majority class. The last column is the testing data. For all detailed sample in corresponding element, the last column is the label.
DOI: 10.21227/gmq5-t971
title: Power Flow Solution Sets of Standard IEEE Test Systems

description: This DATASET includes 5 different IEEE testing cases, 14-bus, 30-bus, 39-bus, 57-bus, and 57-bus-modified, and their power flow solutions at different loading levels. These solutions were obtained by the holomorphic embedding based continuation method developed by Dr Dan Wu at MIT and Dr Bin Wang at TAMU.
DOI: 10.5281/zenodo.3264805
title: MALDI-TOF spectra and bone images of archaeological and modern European Cyprinids

description: Images from all 46 archaeological test bones associated with the archaeological test set MALDI-TOF data.

MALDI-TOF data from both reference and test sets.  Reference sets are labeled with their species identification.  Each set consists of .tex files.  Files in the same folder are technical replicates of the same extract.
DOI: 10.5281/zenodo.3264806
title: MALDI-TOF spectra and bone images of archaeological and modern European Cyprinids

description: Images from all 46 archaeological test bones associated with the archaeological test set MALDI-TOF data.

MALDI-TOF data from both reference and test sets.  Reference sets are labeled with their species identification.  Each set consists of .tex files.  Files in the same folder are technical replicates of the same extract.
DOI: 10.6073/pasta/4306616f161efd343f21a8030dbf9c64
title: Jornada Basin LTER:  NPP G-BASN meteorological station: Daily average soil volumetric water content
         data:  2013 - present

description: Daily average of 30-minute Volumetric Water Content at NPP G-BASN met station. Collection of soil
            volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental
            monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water
            dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk
            dielectric permittivity are measured and calculated at an automated meteorological station
            installed at Jornada LTER NPP G-BASN site. The daily average at 3 soil depths is calculated from
            measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm.     This is an ONGOING dataset.
DOI: 10.6073/pasta/ded601f33025ce5d83cffa02b46f3fa9
title: Jornada Basin LTER:  NPP G-BASN meteorological station: 1-second summary precipitation data:  2013
         - present

description: 1-second summary precipitation data at NPP G-BASN met station. Total precipitation per second is
            recorded only if there is measurable precipitation. This is recorded at an automated meteorological
            station installed at Jornada LTER NPP G-BASN site.. This climate station is operated by the Jornada
            LTER Program.         IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping
            bucket rain gauge. If there is missing data due to equipment or other problems, there will be no
            indication of this within this dataset. The user needs to review precipitation values in the 30
            minute or hourly summary datasets to determine if there are missing data in this 1 second detailed
            precipitation dataset. Reference the package i.d.'s knb-lter-jrn.210437019, knb-lter-jrn.210437034,
            and knb-lter-jrn.210437049 for the NPP G-BASN met station 30 minute, hourly, and daily summary
            datasets, respectively.     This is an ONGOING dataset.
DOI: 10.6073/pasta/2a79dd879712cb3fcd38c800eb710720
title: Jornada Basin LTER:  NPP G-BASN meteorological station: 5-minute summary wind and air temperature
         data:  2013 - present

description: 5-minute summary data at NPP G-BASN met station. Average air temperature, wind speed and wind
            direction are measured and calculated based on 1-second scan rate of sensors at an automated
            meteorological station installed at Jornada LTER NPP G-BASN site. Wind speed is measured at 75 cm,
            150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m.
            This climate station is operated by the Jornada LTER Program.     This is an ONGOING dataset.
DOI: 10.6073/pasta/abd34e824bc6355c12bd180a275b3c09
title: Jornada Basin LTER:  NPP G-BASN meteorological station: 30-minute soil volumetric water content
         data:  2013 - present

description: 30-minute Soil Moisture data at NPP G-BASN met station. Collection of soil volumetric water content
            data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the
            Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content,
            bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every
            30 minutes at an automated meteorological station installed at Jornada LTER NPP G-BASN site.
            Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths.     This is an
            ONGOING dataset.
DOI: 10.6073/pasta/f4cf1e9e4d290a4ee6d96e5f0711385a
title: Jornada Basin LTER:  NPP G-IBPE meteorological station: 15-minute summary data:  2013 - present

description: 15-minute summary data at NPP G-IBPE met station. Average/maximum/minimum air temperature; average
            relative humidity and wind direction; average/maximum wind speed; atmospheric pressure; solar
            radiation. These are measured and calculated based on 1-second scan rate of sensors at an automated
            meteorological station installed at Jornada LTER NPP G-IBPE site. Wind speed is measured at 75 cm,
            150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity
            at approximate 2.5m. This climate station is operated by the Jornada LTER Program.     This is an
            ONGOING dataset.
DOI: 10.6073/pasta/0d726c8f107c12ce2adee4dcc97e9f25
title: Jornada Basin LTER:  NPP G-IBPE meteorological station: Daily summary data:  2013 - present

description: Daily summary data at NPP G-IBPE met station. Average/maximum/minimum air temperature;
            average/maximum relative humidity and wind speed and average wind direction. These are measured and
            calculated based on 1-second scan rate of sensors at an automated meteorological station installed
            at Jornada LTER NPP G-IBPE site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind
            direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This
            climate station is operated by the Jornada LTER Program.     This is an ONGOING dataset.