cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25318/1310087501-fra
title: Caractéristiques socioéconomiques de la population transgenre ou non binaire, 2019 à 2021

description: Les caractéristiques socio-économiques des personnes transgenres ou non binaires âgées de 15 ans, selon le groupe d'âge. L'état civil, la présence d'enfants de moins de 12 ans dans le ménage, la scolarité, l'emploi, le revenu personnel, l'identité autochtone, la population des minorités visibles, le statut d'immigrant, la ou les langues parlées le plus souvent à la maison, le lieu de résidence (centre de population/rural), l'état de santé général et l'état de santé mentale autoévalués. Les estimations sont obtenues à partir des cycles combinés de l'Enquête sur la santé dans les collectivités canadiennes, 2019 à 2021.
DOI: 10.5281/zenodo.7916746
title: Raw data for the creation of a maturity model for Catalogues of Semantic Artefacts

description: This dataset includes two data collections (in two different formats, i.e. CSV and XLSX) with the raw data used for creating the Maturity Dimensions and Sub-Criteria for Catalogues of Semantic Artefacts. In particular: 1. <em>Dimension identification in literature</em> includes the list of relevant materials gathered involving all the members of the EOSC Task Force on Semantic Interoperability that include (1) definitions of semantic artefact catalogues and (2) dimensions that can be used to measure the maturity of such catalogues; 2. <em>Catalogue assessment</em> is the result of the analysis of 26 different catalogues of semantic artefacts against the dimensions and sub-criteria described in the maturity model.
DOI: 10.5281/zenodo.10618181
title: Raw data for the creation of a maturity model for Catalogues of Semantic Artefacts

description: This dataset includes two data collections (in two different formats, i.e. CSV and XLSX) with the raw data used for creating the Maturity Dimensions and Sub-Criteria for Catalogues of Semantic Artefacts. In particular:

1. Dimension identification in literature includes the list of relevant materials gathered involving all the members of the EOSC Task Force on Semantic Interoperability that include (1) definitions of semantic artefact catalogues and (2) dimensions that can be used to measure the maturity of such catalogues;

2. Catalogue assessment is the result of the analysis of 26 different catalogues of semantic artefacts against the dimensions and sub-criteria described in the maturity model.
DOI: 10.5281/zenodo.7916745
title: Raw data for the creation of a maturity model for Catalogues of Semantic Artefacts

description: This dataset includes two data collections (in two different formats, i.e. CSV and XLSX) with the raw data used for creating the Maturity Dimensions and Sub-Criteria for Catalogues of Semantic Artefacts. In particular:

1. Dimension identification in literature includes the list of relevant materials gathered involving all the members of the EOSC Task Force on Semantic Interoperability that include (1) definitions of semantic artefact catalogues and (2) dimensions that can be used to measure the maturity of such catalogues;

2. Catalogue assessment is the result of the analysis of 26 different catalogues of semantic artefacts against the dimensions and sub-criteria described in the maturity model.
DOI: 10.5281/zenodo.7920536
title: Raw data for the creation of a maturity model for Catalogues of Semantic Artefacts

description: This dataset includes two data collections (in two different formats, i.e. CSV and XLSX) with the raw data used for creating the Maturity Dimensions and Sub-Criteria for Catalogues of Semantic Artefacts. In particular: 1. <em>Dimension identification in literature</em> includes the list of relevant materials gathered involving all the members of the EOSC Task Force on Semantic Interoperability that include (1) definitions of semantic artefact catalogues and (2) dimensions that can be used to measure the maturity of such catalogues; 2. <em>Catalogue assessment</em> is the result of the analysis of 26 different catalogues of semantic artefacts against the dimensions and sub-criteria described in the maturity model.
DOI: 10.5281/zenodo.8304972
title: Raw data for the creation of a maturity model for Catalogues of Semantic Artefacts

description: This dataset includes two data collections (in two different formats, i.e. CSV and XLSX) with the raw data used for creating the Maturity Dimensions and Sub-Criteria for Catalogues of Semantic Artefacts. In particular: 1. <em>Dimension identification in literature</em> includes the list of relevant materials gathered involving all the members of the EOSC Task Force on Semantic Interoperability that include (1) definitions of semantic artefact catalogues and (2) dimensions that can be used to measure the maturity of such catalogues; 2. <em>Catalogue assessment</em> is the result of the analysis of 26 different catalogues of semantic artefacts against the dimensions and sub-criteria described in the maturity model.
DOI: 10.6084/m9.figshare.25144544
title: N2D3S. PTML- Dataset Supporting Information

description: Neurodegenerative diseases are characterized by slowly progressive neuronal death. Conventional treatment strategies often fail due to poor solubility, lower bioavailability, and the inability to effectively cross the Blood–Brain Barrier (BBB). Therefore, the development of new Neurodegenerative Disease Drugs (NDDs) requires immediate attention. Nanoparticle (NP) systems are increasingly of interest for transporting NDDs to the central nervous system. However, discovering effective Nanoparticle Neuronal Disease Drug Delivery Systems (N2D3S) is challenging due to the vast number of NP and NDDS compound combinations, as well as various assays involved. Artificial Intelligence/Machine Learning (AI/ML) algorithms have the potential to accelerate this process by predicting the most promising NDDS and NP candidates for assay. Nevertheless, the relatively limited amount of reported data on N2D3S activity compared to assayed NDDs makes AI/ML analysis challenging. In this work, the IFPTML technique, which combines Information Fusion (IF), Perturbation Theory (PT), and Machine Learning (ML), was employed to address this challenge. Initially, we conducted fusion into a unified dataset comprising 4403 NDDS assays from ChEMBL and 260 cytotoxicity NP assays from journal articles. Through a resampling process, three new working datasets were generated, each containing 500,000 cases. We utilized Linear Discriminant Analysis (LDA) along with Artificial Neural Networks (ANN) algorithms like Multi-Layer Perceptron (MLP) and Deep Learning Networks (DLN) to construct linear and non-linear IFPTML models, respectively. The IFPTML-LDA models exhibited Sensitivity (Sn) and Specificity (Sp) values in the range of 70% to 73% (&gt;375K training cases) and 70% to 80% (&gt;125K validation cases), respectively. Conversely, the IFPTML-MLP and IFPTML-DLN achieved Sn and Sp values in the range of 85% to 86% for both training and validation series. Additionally, IFPTML-ANN models showed an Area Under the Receiver Operating Curve (AUROC) of approximately 0.93 to 0.95. These results indicate that the IFPTML models could serve as valuable tools in the design of drug delivery systems for neurosciences.
DOI: 10.6084/m9.figshare.25144544.v1
title: N2D3S. PTML- Dataset Supporting Information

description: Neurodegenerative diseases are characterized by slowly progressive neuronal death. Conventional treatment strategies often fail due to poor solubility, lower bioavailability, and the inability to effectively cross the Blood–Brain Barrier (BBB). Therefore, the development of new Neurodegenerative Disease Drugs (NDDs) requires immediate attention. Nanoparticle (NP) systems are increasingly of interest for transporting NDDs to the central nervous system. However, discovering effective Nanoparticle Neuronal Disease Drug Delivery Systems (N2D3S) is challenging due to the vast number of NP and NDDS compound combinations, as well as various assays involved. Artificial Intelligence/Machine Learning (AI/ML) algorithms have the potential to accelerate this process by predicting the most promising NDDS and NP candidates for assay. Nevertheless, the relatively limited amount of reported data on N2D3S activity compared to assayed NDDs makes AI/ML analysis challenging. In this work, the IFPTML technique, which combines Information Fusion (IF), Perturbation Theory (PT), and Machine Learning (ML), was employed to address this challenge. Initially, we conducted fusion into a unified dataset comprising 4403 NDDS assays from ChEMBL and 260 cytotoxicity NP assays from journal articles. Through a resampling process, three new working datasets were generated, each containing 500,000 cases. We utilized Linear Discriminant Analysis (LDA) along with Artificial Neural Networks (ANN) algorithms like Multi-Layer Perceptron (MLP) and Deep Learning Networks (DLN) to construct linear and non-linear IFPTML models, respectively. The IFPTML-LDA models exhibited Sensitivity (Sn) and Specificity (Sp) values in the range of 70% to 73% (&gt;375K training cases) and 70% to 80% (&gt;125K validation cases), respectively. Conversely, the IFPTML-MLP and IFPTML-DLN achieved Sn and Sp values in the range of 85% to 86% for both training and validation series. Additionally, IFPTML-ANN models showed an Area Under the Receiver Operating Curve (AUROC) of approximately 0.93 to 0.95. These results indicate that the IFPTML models could serve as valuable tools in the design of drug delivery systems for neurosciences.
DOI: 10.57710/alba-dc-15
title: Test DC

description: Test DC
DOI: 10.24403/jp.1321841
title: Die Hambuttenbirne [ˣSorbopyrus auricularis (Knoop) C. K. Schneid.] - ein in Thüringen längst vergessenes Obstgehölz / Jürgen Pusch; Klaus-Jörg Barthel
DOI: 10.6084/m9.figshare.20452976
title: Additional file 1 of Integrated multi-omics analyses reveal that BCAM is associated with epigenetic modification and tumor microenvironment subtypes of clear cell renal cell carcinoma

description: Additional file 1: Table S1. Markers for different cell types in scRNA-seq.
DOI: 10.6084/m9.figshare.20452976.v1
title: Additional file 1 of Integrated multi-omics analyses reveal that BCAM is associated with epigenetic modification and tumor microenvironment subtypes of clear cell renal cell carcinoma

description: Additional file 1: Table S1. Markers for different cell types in scRNA-seq.
DOI: 10.6084/m9.figshare.20452965
title: Additional file 2 of IFITM3 promotes malignant progression, cancer stemness and chemoresistance of gastric cancer by targeting MET/AKT/FOXO3/c-MYC axis

description: Additional file 2: Table S1. The 415 overexpressed proteins in GC tumors from our iTRAQ quantitative proteomic database.
DOI: 10.6084/m9.figshare.20452965.v1
title: Additional file 2 of IFITM3 promotes malignant progression, cancer stemness and chemoresistance of gastric cancer by targeting MET/AKT/FOXO3/c-MYC axis

description: Additional file 2: Table S1. The 415 overexpressed proteins in GC tumors from our iTRAQ quantitative proteomic database.
DOI: 10.6084/m9.figshare.20452968
title: Additional file 3 of IFITM3 promotes malignant progression, cancer stemness and chemoresistance of gastric cancer by targeting MET/AKT/FOXO3/c-MYC axis

description: Additional file 3: Table S2. The repeated presented protein candidates in iTRAQ quantitative proteomic analysis.
DOI: 10.6084/m9.figshare.20452968.v1
title: Additional file 3 of IFITM3 promotes malignant progression, cancer stemness and chemoresistance of gastric cancer by targeting MET/AKT/FOXO3/c-MYC axis

description: Additional file 3: Table S2. The repeated presented protein candidates in iTRAQ quantitative proteomic analysis.
DOI: 10.5281/zenodo.10618374
title: ВЛИЯНИЕ ТЕРМООТЖИГА НА СОСТОЯНИЕ ИОННО-ИМПЛАНТИРОВАНННЫХ АТОМОВ  MN  В   SI"
DOI: 10.5281/zenodo.10618375
title: ВЛИЯНИЕ ТЕРМООТЖИГА НА СОСТОЯНИЕ ИОННО-ИМПЛАНТИРОВАНННЫХ АТОМОВ  MN  В   SI"
DOI: 10.24403/jp.1324081
title: Knapp, H.: Samenatlas. Teil 1: Caryophyllaceae. Teil 2: Ranunculaceae. - Verlag der Österreichischen Akademie der Wissenschaften, Wien 2006. - (Mitteilungen der Kommission für Quartärforschung der Österreichischen Akademie der Wissenschaften Band 15) / [rezensiert von] H. Manitz
DOI: 10.5281/zenodo.10618459
title: Performance Data and Learner Preferences of Beginners and Advanced Learners in a 1-hour Spanish Course with Imitated Instructional Methods

description: This is the dataset used in https://github.com/education-ai/predicting-preferences

It has the same data structure as in Rüdian, S. (2024). Performance Data and Learner Preferences of Beginners in a 1-hour Spanish Course with Imitated Instructional Methods (Study 1) and without (Study 2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10615192,

enhanced by the column "isnew", with the specification:

1 = Beginners0 = Advanced Learners
DOI: 10.5281/zenodo.10618460
title: Performance Data and Learner Preferences of Beginners and Advanced Learners in a 1-hour Spanish Course with Imitated Instructional Methods

description: This is the dataset used in https://github.com/education-ai/predicting-preferences

It has the same data structure as in Rüdian, S. (2024). Performance Data and Learner Preferences of Beginners in a 1-hour Spanish Course with Imitated Instructional Methods (Study 1) and without (Study 2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10615192,

enhanced by the column "isnew", with the specification:

1 = Beginners0 = Advanced Learners
DOI: 10.25934/pr00004749.1
title: Available IPD datapackage for study 'A Randomized, Double-Blind, Parallel-Group, Comparative Study of Flexible Doses of Paliperidone Palmitate and Flexible Doses of Risperidone Long-Acting Intramuscular Injection in Subjects With Schizophrenia'

description: The purpose of this study is to demonstrate the effectiveness of paliperidone palmitate in patients with Schizophrenia.
DOI: 10.5281/zenodo.10618586
title: THE SUBJECT OF CONSTITUTIONAL LAW: THE VIEW OF THEORISTS
DOI: 10.5281/zenodo.10618587
title: THE SUBJECT OF CONSTITUTIONAL LAW: THE VIEW OF THEORISTS
DOI: 10.25592/uhhfdm.14051
title: Cross-Linked Gold Nanoparticle Assemblies: What can we Learn from Single Flat Interfaces?

description: Raw data for the publication "Cross-Linked Gold Nanoparticle Assemblies: What can we Learn from Single Flat Interfaces?", including experimental data, MD Simulations, Charge Transport Calculations.<br>
<br>
A preprint can be found at: https://chemrxiv.org/engage/chemrxiv/article-details/655b4d386e0ec7777f524821
description: A preprint can be found at: https://chemrxiv.org/engage/chemrxiv/article-details/655b4d386e0ec7777f524821
DOI: 10.25592/uhhfdm.14050
title: Cross-Linked Gold Nanoparticle Assemblies: What can we Learn from Single Flat Interfaces?

description: Raw data for the publication "Cross-Linked Gold Nanoparticle Assemblies: What can we Learn from Single Flat Interfaces?", including experimental data, MD Simulations, Charge Transport Calculations.<br>
<br>
A preprint can be found at: https://chemrxiv.org/engage/chemrxiv/article-details/655b4d386e0ec7777f524821
description: A preprint can be found at: https://chemrxiv.org/engage/chemrxiv/article-details/655b4d386e0ec7777f524821
DOI: 10.24403/jp.1317921
title: Oenothera ˣsaxonica - ein bisher nicht beschriebener Nachtkerzen-Bastard / Peter Gutte ; Krzysztof Rostanski
DOI: 10.24403/jp.1320865
title: Bisher unbeachtete Rubus-Arten in Thüringen und angrenzenden Gebieten / Werner Jansen
DOI: 10.24403/jp.1321906
title: Die Moosgesellschaften des Naturschutzgebietes „Rüdigsdorfer Schweiz“ bei Rüdigsdorf (Landkreis Nordhausen) : 124. Beitrag zur Mossvegetation Thüringens / Rolf Marstaller
DOI: 10.5281/zenodo.10051112
title: Spectral study on CG lightning with a branch developing from node upwards to the cloud

description: The development of cloud-to-ground (CG) lightning channel is one of the main basis reflecting the discharge characteristics. Time-resolved spectra of CG lightning with eight return strokes were recorded by a slit-less high-speed spectroscope. We found an unusual phenomenon, following the grounding of the first return stroke, a branch developed oppositely from a node on the main channel upwards into the cloud. To investigate the propagation properties of this lightning, characteristic parameters such as two-dimensional speed, node temperature and electron density during dart stepped leader and dart leader were analyzed. The physical mechanism of the branch developed oppositely from a node upwards to cloud phenomenon was discussed. Spectral analysis revealed that the main channel temperature and electron density were about 27200~30700K and 0.23~2.03+18Ecm-3. The temperature and electron density increased as the branch approaching the cloud base, similar to the feature of the main channel approaching the ground. The leader circled (gyrated) around the node, the temperature and electron density of the node were higher than other positions of the channel, indicating that massive charges accumulated around the node. The lightning occurred in the rolling Qilian Mountains, the landform is complex, which can easily lead to an uneven distribution of localized electric field in the air, resulting in channel bending, kinking, and even developing in circle. The phenomenon of the branch developed oppositely from the node to the cloud may be related to massive charges accumulation around the node and a strong charge region with opposite polarity in the nearby cloud.
DOI: 10.5519/qd.12rwr6ux
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (92 records)
DOI: 10.6084/m9.figshare.25144556
title: Effects of topography on nutrient variations in the Western South China Sea

description: The dataset of the manuscript 'Effects of topography on nutrient variations in the Western South China Sea'. Including temperature, salinity, fluorescence, and nutrient data that collected in September 2017 in the Western South China Sea.
DOI: 10.5281/zenodo.10618635
title: Supplemental Data Oral Health Status of Looked After Children

description: Supplemental data submission
DOI: 10.5281/zenodo.8214550
title: Supplemental Data Oral Health Status of Looked After Children

description: Supplemental data submission
DOI: 10.5281/zenodo.8214551
title: Supplemental Data Oral Health Status of Looked After Children

description: Supplemental data submission
DOI: 10.5281/zenodo.10579906
title: STEM_DETECTION_DATASET

description: The stem detection dataset includes RGB images that were collected specifically for training and validation of stem detection algorithms. There are a total of 573 RGB images, 508 of which were used for training and 65 for validation. These images were taken with an Intel Realsense D435 camera positioned at a variable distance of 20 to 50 centimeters from the grapes. The images' resolution is set to 1920 x 1080 pixels, resulting in a detailed and comprehensive visual dataset for the development and evaluation of stem detection algorithms.  All of the data were collected at Ktima Gerovassiliou in Epanomi, Thessaloniki.

Below, there are three separate folders with the training data (which can be merged into one) and one folder containing the validation data. Every image has a txt file containing the image's stem annotations. The first number represents the annotation's class (0 for stem), and the remaining numbers are the normalized (in the image's shape) coordinates of the stem's mask.
DOI: 10.5281/zenodo.10579907
title: STEM_DETECTION_DATASET

description: The stem detection dataset includes RGB images that were collected specifically for training and validation of stem detection algorithms. There are a total of 573 RGB images, 508 of which were used for training and 65 for validation. These images were taken with an Intel Realsense D435 camera positioned at a variable distance of 20 to 50 centimeters from the grapes. The images' resolution is set to 1920 x 1080 pixels, resulting in a detailed and comprehensive visual dataset for the development and evaluation of stem detection algorithms.  All of the data were collected at Ktima Gerovassiliou in Epanomi, Thessaloniki.

Below, there are three separate folders with the training data (which can be merged into one) and one folder containing the validation data. Every image has a txt file containing the image's stem annotations. The first number represents the annotation's class (0 for stem), and the remaining numbers are the normalized (in the image's shape) coordinates of the stem's mask.
DOI: 10.5281/zenodo.10572847
title: INSPECTION_DATASET_RGBD_HS

description: The dataset consists of multiple sessions, each with a unique variety or a combination of varieties and captured using a specific set of technical specifications. The data were collected at a vineyard in the summer of 2023. The distance between the camera and RGBD images ranges from 60 to 80 centimeters, while Hyperspectral images range from 80 to 100 centimeters. The RGBD images have a resolution of 2208 x 1242 pixels, which provides detailed visual data for analysis. Simultaneously, in the hyperspectral camera the grayscale (panchromatic) images have a resolution of 1000 x 1000 pixels, with the respective co-registered cube files having a spatial resolution of 50 x 50 pixels. The spectral dimension spans 138 bands, with a spectral range from 450 to 998 nms, i.e., a spectral resolution of 4 nm, allowing for a more detailed analysis of the spectral information. The hyperspectral data was captured in "RAW" mode, with the grabbed values corresponding to digital numbers (DN).

The data acquisition process uses specific sensors, with RGB and depth images captured by the ZED2 stereo camera. For the Hyperspectral component, the FireflEYE 185 camera by Cubert Gmbh is employed, ensuring precision and accuracy in capturing spectral data across different varieties and sessions within the dataset. All of the data were collected at Gerovassiliou Field in Epanomi, Thessaloniki. 

The dataset includes 12 sessions of Malagouzia variety, 3 sessions of Priknadi variety, 2 sessions of Chardonnay variety, 1 session of Monemvasia variety, 2 sessions of consecutive Malagouzia and Monemvasia varieties and 3 sessions of consecutive Priknadi and Monemvasia varieties.

It is worth noting that the two cameras are registered between them using matrices R and T, which are included in the dataset to achieve exact alignment. Both RGB and Hyperspectral images are used exclusively for detection purposes, specifically to identify grapes within their respective fields of view. 

CERTH/ITI coordinated the setup and collection of RGBD data, while AUTH/RSSGIS guided the collection of Hyperspectral data, demonstrating a collaborative effort in compiling this comprehensive dataset for grapevine analysis.

Below, there is a sample of the dataset structure due to the big size of the dataset. We uploaded a complete sample of the Malagouzia variety since the remaining data has a similar form.  For the full dataset with all the varieties please contact Stefanos Papadam (sgpapadam@iti.gr), Ioannis Mariolis (ymariolis@iti.gr), Georgia Peleka (gpeleka@iti.gr)