cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.cb8sb7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trophogemma colantonii",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017671-241126133413365/datasets/export for details.
DOI: 10.5281/zenodo.14277534
title: AIPlan Experiment Database

description: This is the database containing the experiment results for the paper AIPlan: Adaptive Soil Moisture Forecasting for Long-Term Irrigation Planning submitted to EDBT 2025.
DOI: 10.5281/zenodo.14277535
title: AIPlan Experiment Database

description: This is the database containing the experiment results for the paper AIPlan: Adaptive Soil Moisture Forecasting for Long-Term Irrigation Planning submitted to EDBT 2025.
DOI: 10.17632/fvdzyk8w4d.1
title: Data of Resilience Quantitative Evaluation Articles

description: This dataset includes import and export data of 909 articles in CiteSpace and VOSviewer.
DOI: 10.15468/dl.r65jq5
title: Occurrence Download

description: A dataset containing 5788 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epilobium brachycarpum C.Presl",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 5788 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017672-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bgzpycmxby.1
title: Eletromechanical device for photogrammetry photo-acquisition - Frame Project

description: This repository accompanies the article "Evaluating monoscopic photogrammetry as an alternative for facial three-dimensional scanning in orthognathic surgery: Can it replace computed tomography meshes for soft tissue analysis and simulation?"

Contents:

Frame Project folder:
 - A PDF file (Frame - parts and instructions.pdf) with detailed descriptions and illustrations of the frame's components.
 - A Blender 3D file (frame_project.blend) presenting the frame's parts in an animated format, allowing viewers to explore the role of each moving component. Tags in the Blender file correspond to the descriptions provided in the PDF.
Video folder:
 - A video demonstrating the photo-capture process, as described in the Materials and Methods section of the article.
DOI: 10.17632/ngdbtzhftf.1
title: Python code for creation of an average image from the multiple facial heat maps

description: - File "dr_nauber_mean_heat_map_add_on.py" : a Python script (add-on) specifically designed to run within Blender's environment. Python is Blender's scripting language, enabling custom functionalities like this one, which processes heat map images, calculates their average, and integrates the result into Blender's 3D interface.
- File "step_by_step_add-on.mp4": screen-recorded video tutorial demonstrating the installation and usage of the add-on (from Step 4 in the instructions below).

Instructions:
Step 1: Download and Install Blender 2.9. It´s advisable to use the OrtogOnBlender installer, since it contains all the libraries necessary to run the add-on.
Windows: https://www.ciceromoraes.com.br/doc/pt_br/OrtogOnBlender/Instalacao_Windows.html
Mac OS: https://www.ciceromoraes.com.br/doc/pt_br/OrtogOnBlender/Instalacao_MacOSX.html
Linux: https://www.ciceromoraes.com.br/doc/pt_br/OrtogOnBlender/Instalacao_Linux.html

Step 2: Obtain the Add-on File
1. Download the file "dr_nauber_mean_heat_map_add_on.py" provided by in this repository. 
2. Save this file in a known location, such as your Desktop or Downloads folder.

Step 3: Install the Add-on in Blender 
1. Open Blender .
2. Go to Edit &gt; Preferences from the top menu.
3. In the Preferences window, click on Add-ons in the left sidebar.
4. Click Install… in the top-right corner.
5. Navigate to the location where you saved the "dr_nauber_mean_heat_map_add_on.py" file. Select the file and click Install Add-on .
6. After installation, find the add-on in the list (search for "Mean Heat Map" if needed).
7. Check the box next to the add-on name to enable it. If necessary, click Save Preferences to make it permanent.

Step 4: Set Up Your Images Directory 
1. Prepare a folder containing all the heat map images you want to process.
 - Ensure the images are in a supported format (e.g., `.png` or `.jpg`).
 - Keep all images in the same resolution for the best results (or the add-on will resize them automatically).

Step 5: Use the Add-on 
1. In Blender, ensure you're in the 3D Viewport workspace.
2. Locate the "Mean Heat Map" panel:
 - Press `N` to open the right-hand toolbar in the 3D Viewport.
 - Click on the Image Processor tab.
3. In the panel:
 - Paste the folder path from Step 4 into the Directory Path field.
 - Click the Process Images button.

Step 6: Generate the Mean Image 
1. The add-on will:
 - Calculate the average of all the images in the folder.
 - Save the result as `average_image.png` in the same folder.
2. A message box will confirm the success and the location of the saved image.

Step 7: View the Average Image in Blender 
1. The add-on automatically creates a plane in the Blender scene, applying the average image as a texture.
2. Press `1` on the numpad to view the plane from the front.
3. Use the mouse scroll wheel to zoom in or out as needed.

The resulting image is saved as "average_image.png" in the same folder.
DOI: 10.17632/mdk6g6ps8z
title: NMR rat data of AKI to CKD

description: This dataset is NMR data of serum, and various tissues from mice at critical stages of AKI to CKD.
DOI: 10.17632/mdk6g6ps8z.1
title: NMR rat data of AKI to CKD

description: This dataset is NMR data of serum, and various tissues from mice at critical stages of AKI to CKD.
DOI: 10.17632/35dkkv3ntz.1
title: Mendeley Data Video 1-4

description: Mendeley Data Video 1. Live imaging in photostimulation assay-muscle side stimulation, Related to Figure 4. 
Mendeley Data Video 2. Live imaging in photostimulation assay-vehicle-injected hNMSO, Related to Figure 5. 
Mendeley Data Video 3. Live imaging in photostimulation assay-IL-1β injected hNMSO, Related to Figure 5. 
Mendeley Data Video 4. Live imaging in photostimulation assay-hNMSO with IL-1β in medium, Related to Figure 5.
DOI: 10.17632/pghxng62px
title: Files and data for simulation and experiment with drone control.

description: The folder Experiment_Compare_Drone contains the position data measured from the Drone controlled by PD and PD Fuzzy controller.
The folder Simulation_Compare_Drone contains simulink files, FIS files for the simulation of the drone control system by PD and PD Fuzzy controller.
DOI: 10.17632/pghxng62px.1
title: Files and data for simulation and experiment with drone control.

description: The folder Experiment_Compare_Drone contains the position data measured from the Drone controlled by PD and PD Fuzzy controller.
The folder Simulation_Compare_Drone contains simulink files, FIS files for the simulation of the drone control system by PD and PD Fuzzy controller.
DOI: 10.17632/pxjmyn68n7.1
title: Dataset on Mechanical Strength of Concrete Reinforced with Cotton Fabric and Nylon Fibres: Impact of Fibre End Configurations

description: The dataset presented is a comprehensive examination of fibre-reinforced concrete (FRC) properties, methodically designed to explore the intricate effect of fibre shape on the concrete performance apart from the other characteristics of the fibre. The dataset encompasses 37 distinct concrete specimens, including a single conventional concrete control sample and 36 fibre-reinforced variants.
The experimental design demonstrates a systematic approach to investigating concrete properties by strategically varying key parameters including fibre material (nylon and cotton thread), fibre shape (straight and novel double-headed configurations), fibre dosage (0.5%, 1.0%, and 1.5%), and aspect ratios (35, 55, and 75). Each specimen is assigned a unique identifier that encapsulates these critical characteristics, enabling precise tracking and analysis.
The dataset is organized into a detailed table featuring nine primary variables that document the comprehensive properties of each concrete sample. The naming convention employed allows researchers to immediately understand the specific composition of each specimen. For instance, a notation like SNF-0.5-35 precisely indicates a Straight Nylon Fibre specimen with 0.5% dosage and an aspect ratio of 35.
The experimental specimens are strategically categorized into four primary groups: Straight Nylon Fibre Reinforced Concrete (SNF), Double Headed Nylon Fibre Reinforced Concrete (DNF), Straight Cotton Thread Fibre Reinforced Concrete (SCF), and Double Headed Cotton Thread Fibre Reinforced Concrete (DCF). This methodical classification facilitates comparative analysis and allows researchers to isolate the effects of different fibre characteristics.
Mechanical properties were measured at the 28-day mark, focusing on compressive strength, split-tensile strength, and flexural strength. The dataset's structure enables multiple analytical approaches. Researchers can examine the influence of individual parameters such as fibre material, shape, dosage, or aspect ratio, or conduct comprehensive multi-variable analyses. The systematic variation of parameters across specimens provides a framework for understanding the complex interactions that influence concrete performance.
For potential users, this dataset offers a valuable resource for understanding fibre-reinforced concrete behaviour. It can support further research in materials science, civil engineering, and construction technology, providing empirical data for theoretical modelling, comparative studies, and advanced material development. The comprehensive nature of the data allows for investigations into the mechanical properties of fibre-reinforced concrete, presenting opportunities for both theoretical understanding and practical applications in construction and engineering fields.
DOI: 10.17632/k6vkksvwvk
title: The raw data of pre-fermentative cold maceration

description: The text describes data related to pre-fermentative cold maceration.
DOI: 10.17632/k6vkksvwvk.1
title: The raw data of pre-fermentative cold maceration

description: The text describes data related to pre-fermentative cold maceration.
DOI: 10.17632/42mx2m7vg4.1
title: Data fusion (travel survey and cellular trace)

description: This code implements the simulation study of the paper, Vo et al. (2025). A novel data fusion method to leverage passively collected mobility data in generating spatially-heterogeneous synthetic population. Transportation Research Part B. https://doi.org/10.1016/j.trb.2024.103128

Note:

The 'data' folder contains the sampled datasets used in the simulation study, including 'data_hts_sim.csv' for HTS, 'data_cel_sim.csv' for PCM, and 'data_true_sim.csv' for the ground truth.
The 'output' folder contains the fused distribution, 'P_XYZ_sim.csv', and the population, 'sample_sim.csv', generated by running 'TRB_PopSyn.ipynb' file.
The results could differ slightly from those shown in the paper as these datasets are sampled randomly.
DOI: 10.17632/dnvfc5rfm2
title: mythelation data of low molecular weight protein

description: Quantitative DNA Methylation Analysis of the Isolated Genomic DNA
Using the QIAamp DNA Mini Kit (QIAGEN, Valencia, CA), genomic DNA was purified according to the protocols. Then, methylation levels were analyzed to assess CpG content in breast tissue DNA by using Sequenom MassARRAY (San Diego, CA). According to the manufacturer's instructions, specific primers for target genes were used to evaluate the methylation at CpG sites. PCR was performed with Hot Start Taq DNA polymerase (0.2 U), primers (0.2 mM), dNTPs (200 mM), and bisulfite-treated DNA (10 ng) in a 5 µL reaction system. The amplification cycle included an initial denaturation at 94°C for 15 min, followed by 45 cycles of 94°C for 20 s, 56°C for 30 s, and 72°C for 1 min, with a final extension at 72°C for 3 min. In order to remove the unincorporated dNTPs, 2µL premix containing shrimp alkaline phosphatase (SAP) was added to the final system, followed by incubating at 37°C for 40 min, and then heat inactivation at 85°C for 5 min. The products were then used for transcription and RNase A cleavage. The final products were spotted on a 384-pad Spectro-CHIP (Sequenom) and analyzed with a mass spectrometer (MassARRAY MALDI-TOF). Using Sequenom EpiTYPER application, methylation levels were quantified.
DOI: 10.17632/dnvfc5rfm2.1
title: mythelation data of low molecular weight protein

description: Quantitative DNA Methylation Analysis of the Isolated Genomic DNA
Using the QIAamp DNA Mini Kit (QIAGEN, Valencia, CA), genomic DNA was purified according to the protocols. Then, methylation levels were analyzed to assess CpG content in breast tissue DNA by using Sequenom MassARRAY (San Diego, CA). According to the manufacturer's instructions, specific primers for target genes were used to evaluate the methylation at CpG sites. PCR was performed with Hot Start Taq DNA polymerase (0.2 U), primers (0.2 mM), dNTPs (200 mM), and bisulfite-treated DNA (10 ng) in a 5 µL reaction system. The amplification cycle included an initial denaturation at 94°C for 15 min, followed by 45 cycles of 94°C for 20 s, 56°C for 30 s, and 72°C for 1 min, with a final extension at 72°C for 3 min. In order to remove the unincorporated dNTPs, 2µL premix containing shrimp alkaline phosphatase (SAP) was added to the final system, followed by incubating at 37°C for 40 min, and then heat inactivation at 85°C for 5 min. The products were then used for transcription and RNase A cleavage. The final products were spotted on a 384-pad Spectro-CHIP (Sequenom) and analyzed with a mass spectrometer (MassARRAY MALDI-TOF). Using Sequenom EpiTYPER application, methylation levels were quantified.
DOI: 10.5281/zenodo.14277641
title: THE ROLE OF TECHNOLOGY IN MODERN EDUCATION
DOI: 10.5281/zenodo.14277642
title: THE ROLE OF TECHNOLOGY IN MODERN EDUCATION
DOI: 10.15468/dl.4zvkhc
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carcharodon carcharias (Linnaeus, 1758)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017674-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9t6dzbmm2x.1
title: long covid

description: The dataset of long Covid for analysis in Thailand
DOI: 10.17632/d66xnnjbfd.1
title: Strain-dependent performance of Spodoptera frugiperda on cabbage

description: the data of Strain-dependent performance of Spodoptera frugiperda on cabbage
DOI: 10.15468/dl.mzsgz3
title: Occurrence Download

description: A dataset containing 37130762 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 37130762 records from 704 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017657-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.5291
title: Dataset for: Under pressure: Mental workload-induced changes in cortical oxygenation and frontal theta activity during simulated flights

description: Research data including EEG, fNIRS, subjective and performance data for: Hamann, A., & Carstengerdes, N. (2022). Investigating mental workload-induced changes in cortical oxygenation and frontal theta activity during simulated flights. Scientific Reports, 12(1), 1-12. https://doi.org/10.1038/s41598-022-10044-y
description: Monitoring pilots’ cognitive states becomes increasingly important in aviation. Physiological measurement can detect increased mental workload (MWL) even before performance declines. Yet, changes in MWL are rarely varied systematically and few studies control for confounding effects of other cognitive states. The present study targets these shortcomings by analysing the effects of stepwise increased MWL on cortical activation, while controlling for mental fatigue (MF). 35 participants conducted a simulated flight with an incorporated adapted n-back and monitoring task. We recorded cortical activation with concurrent EEG and fNIRS measurement, performance, self-reported MWL and MF. Our results show the successful manipulation of MWL without confounding effects of MF. Higher task difficulty elicited higher subjective MWL ratings, performance decline, higher frontal theta activity and reduced frontal deoxyhaemoglobin (Hbr) concentration. Using both EEG and fNIRS, we could discriminate all induced MWL levels. fNIRS was more sensitive to tasks with low difficulty, and EEG to tasks with high difficulty. Our findings further suggest a plateau effect for high MWL that could present an upper boundary to individual cognitive capacity. Our results highlight the benefits of physiological measurement in aviation, both for assessment of cognitive states and as a data source for adaptive assistance systems.
DOI: 10.15468/dl.banjns
title: Occurrence Download

description: A dataset containing 606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rostroraja alba (Lacepède, 1803)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 606 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017675-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gsnk59
title: Occurrence Download

description: A dataset containing 2350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aira caryophyllea L.",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 2350 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017676-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a96tcq
title: Occurrence Download

description: A dataset containing 11209613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 11209613 records from 1926 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017658-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1079229.10fu
title: SH1079229.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1079234.10fu
title: SH1079234.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1079236.10fu
title: SH1079236.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1079244.10fu
title: SH1079244.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.