cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26165/juelich-data/t4dnew
title: Experiment 2: Object-Substitution Masking: Raw behavioral data

description: This dataset contains raw behavioral responses of 29 participants (M = 29.38 years, SD = 5.52, 17 females). The experiment was aimed to test the strength of Object-Substitution Masking (OSM). The independent variables were the size of Ebbinghaus inducers (small inducer, large inducer), viewing condition (simultaneous viewing, delayed viewing), target circle size (small, large) and congruency (congruent, incongruent). In each trial, two of the eight circles were surrounded by Ebbinghaus inducers: one was designated as the target and the other as the nontarget stimulus. Trials where the target and nontarget stimuli were the same size were categorized as congruent, while those with different-sized target and nontarget stimuli were classified as incongruent. During the experiment, participants were presented with a size-discrimination task where they supposed to identify the size of the target. Each row in the dataset represents one trial. Below is a description of the columns: 1. Mask Type: Indicates the viewing condition (simultaneous viewing, delayed viewing) 2. Inducer Size: Indicates the inducer size (Small inducer, Large inducer). 3. Target Size: The size of the target circle (Small target, Large target). 4. Nontarget Size: The size of the nontarget circle (Small nontarget, Large nontarget). 5. Congruency: Indicates the congruency of sizes of target and nontarget stimuli (congruent, incongruent). 6. Accuracy: 1 for correct responses, 0 for incorrect responses. 7. Pressed Key: 'j' for small responses, 'k' for large responses. 8. Reaction Time: The time (in milliseconds) between the presentation of the response window and the participant’s key press. 9. Distractor Sizes: The sizes of the six distractor circles on the screen, measured in degrees of visual angle. 10. Distractor Average Size: The average size of the six distractor circles. 11. Target Location: The coordinates of the target position in each trial. 12. Nontarget Location: The coordinates of the nontarget position in each trial.
DOI: 10.15468/dl.vexr9j
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((36.8475 -1.375, 36.84417 -1.375, 36.84417 -1.375833, 36.845 -1.375833, 36.845 -1.3775, 36.84667 -1.3775, 36.84667 -1.378333, 36.85083 -1.378333, 36.85083 -1.376667, 36.85 -1.376667, 36.85 -1.375833, 36.8475 -1.375833, 36.8475 -1.375))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012082-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27940596
title: The 13 mitogenomes in Dipterocarpaceae

description: we newly assembled and annotated thirteen mitogenomes in Dipterocarpaceae.
DOI: 10.6084/m9.figshare.27940596.v1
title: The 13 mitogenomes in Dipterocarpaceae

description: we newly assembled and annotated thirteen mitogenomes in Dipterocarpaceae.
DOI: 10.26165/juelich-data/hmqjye
title: Experiment 3: Size Averaging: Psychometric curves

description: This dataset includes psychometric curves of twenty-nine participants (M = 29.38 years, SD = 5.52, 17 females). These curves were constructed by analysing response proportions at precise intervals of 0.1 degrees, showing a preference for the comparison circle being larger than the target circle. The logistic function was employed to quantify the probability (P) of perceiving the comparison circle as larger than the target circle. The color coding in the figure corresponds to the different conditions: small target (red) and large target (blue).
DOI: 10.26165/juelich-data/5brj7z
title: Experiment 3: Size Averaging: Raw Behavioral Data

description: This dataset contains raw behavioral responses of 29 participants (M = 29.38 years, SD = 5.52, 17 females). Participants were given a size averaging paradigm. Eight green circles were presented on the screen and participants were asked to indicate whether the comparison circle was larger or smaller than the average size of all eight circles. Three out of eight circles were assigned as target circles, and their sizes were manipulated to be either small or large. Each row in the dataset represents one trial. Below is a description of the columns: 1. Target size: Indicating the size of first target, in degrees of visual angle. 2. Target2 size: Indicating the size of second target, in degrees of visual angle. 3. Target3 size: Indicating the size of third target, in degrees of visual angle. 4. Comparison Circle Size: The size of the comparison circle presented on the screen, measured in degrees of visual angle. 5. Small Overall Average: The average size of all circles in small target conditions. 6. Large Overall Average: The average size of all circles in large target conditions. 7. Accuracy: 1 for correct responses, 0 for incorrect responses. 8. Pressed Key: '' for smaller responses, '&gt;' for larger responses. 9. Labelled Key: Represents the proportion of larger responses (1 for larger, 0 for smaller). 10. Reaction Time: The time (in milliseconds) between the presentation of the comparison circle and the participant’s key press. 11. Distractor Sizes: The sizes of the five distractor circles on the screen, measured in degrees of visual angle. 12. Distractor Average Size: The average size of the five distractor circles. 13. Target Location: The coordinates of the first target position in each trial. 14. Target2 Location: The coordinates of the second target position in each trial. 15. Target3 Location: The coordinates of the third target position in each trial.
DOI: 10.15468/dl.tuf6ux
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Chile",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 73 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012083-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwuz75
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((36.8225 -1.374167, 36.8225 -1.375, 36.82167 -1.375, 36.82167 -1.378333, 36.8225 -1.378333, 36.8225 -1.38, 36.82583 -1.38, 36.82583 -1.381667, 36.83417 -1.381667, 36.83417 -1.3825, 36.83583 -1.3825, 36.83583 -1.383333, 36.84417 -1.383333, 36.84417 -1.384167, 36.84583 -1.384167, 36.84583 -1.386667, 36.84667 -1.386667, 36.84667 -1.3875, 36.84917 -1.3875, 36.84917 -1.388333, 36.85 -1.388333, 36.85 -1.389167, 36.85083 -1.389167, 36.85083 -1.39, 36.85167 -1.39, 36.85167 -1.390833, 36.85333 -1.390833, 36.85333 -1.391667, 36.85417 -1.391667, 36.85417 -1.3925, 36.855 -1.3925, 36.855 -1.393333, 36.85583 -1.393333, 36.85583 -1.394167, 36.85667 -1.394167, 36.85667 -1.395, 36.8575 -1.395, 36.8575 -1.395833, 36.86 -1.395833, 36.86 -1.396667, 36.86167 -1.396667, 36.86167 -1.3975, 36.86333 -1.3975, 36.86333 -1.396667, 36.86417 -1.396667, 36.86417 -1.395833, 36.865 -1.395833, 36.865 -1.394167, 36.86417 -1.394167, 36.86417 -1.393333, 36.86333 -1.393333, 36.86333 -1.3925, 36.8625 -1.3925, 36.8625 -1.390833, 36.86167 -1.390833, 36.86167 -1.385, 36.86083 -1.385, 36.86083 -1.384167, 36.84917 -1.384167, 36.84917 -1.383333, 36.84833 -1.383333, 36.84833 -1.3825, 36.84667 -1.3825, 36.84667 -1.381667, 36.84583 -1.381667, 36.84583 -1.380833, 36.84417 -1.380833, 36.84417 -1.38, 36.8425 -1.38, 36.8425 -1.379167, 36.84 -1.379167, 36.84 -1.378333, 36.83917 -1.378333, 36.83917 -1.3775, 36.83833 -1.3775, 36.83833 -1.376667, 36.83417 -1.376667, 36.83417 -1.375833, 36.83167 -1.375833, 36.83167 -1.375, 36.83 -1.375, 36.83 -1.374167, 36.8225 -1.374167))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012084-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vuarx3
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clupea pallasii Valenciennes, 1847",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 169 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012085-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.12318
title: Qualitative Data for: "Certainly Uncertainty. Public Support for Uncertainty Communication in Science Museums"

description: We asked (potential) visitors about their opinion towards uncertainty communication in science museums, revealing overwhelmingly positive attitudes and 12 times as many statements in support of (vs. against) communicating uncertainty in science exhibitions (Question 1). Further, we asked them about ideas on how to implement and address uncertainty in the museum. Our findings suggest that the public does not only tolerate but actively supports uncertainty communication in science museums.
DOI: 10.26165/juelich-data/ultvqw
title: Experiment 4: Main Experiment: Psychometric curves

description: This dataset includes psychometric curves of 28 participants (M = 29.32 years, SD = 5.62, 17 females) . These curves were constructed by analysing response proportions at precise intervals of 0.1 degrees, showing a preference for the comparison circle being larger than the target circle. The logistic function was employed to quantify the probability (P) of perceiving the comparison circle as larger than the target circle. The color coding in the figure represents the different conditions: small inducer – simultaneous viewing (solid red line), large inducer – simultaneous viewing (solid green line), small inducer – delayed viewing (dashed red line), and large inducer – delayed viewing (dashed green line).
DOI: 10.25345/c56m33g26
title: MassIVE MSV000096568 - Urolithin A protects hepatocytes from palmitic acid-induced ER stress by regulating calcium homeostasis in the MAM
title: An ellagitannin-derived metabolite Urolithin A (UA) has emerged as a potential therapeutic agent for metabolic disorders due to its antioxidant, anti-inflammatory, and mitochondrial function-improving properties, but its efficacy in protecting against ER stress remains underexplored. The endoplasmic reticulum (ER) is a cellular organelle involved in protein folding, lipid synthesis, and calcium regulation. Perturbations in these functions can lead to ER stress, which contributes to the development and progression of metabolic disorders such as metabolic-associated fatty liver disease (MAFLD). In this study, we identified a novel target protein of UA and elucidated its mechanism for alleviating palmitic acid (PA)-induced ER stress. CETSA-LC-MS/MS analysis revealed that UA binds directly to the sarcoplasmic/endoplasmic reticulum Ca2+-ATPase (SERCA), an important regulator of calcium homeostasis in mitochondria-associated ER membranes (MAMs). As an agonist of SERCA, UA attenuates abnormal calcium fluctuations and ER stress in PA-treated liver cells, thereby contributing to cell survival. In addition, UA inhibits PA-induced mitochondrial ROS and lipid accumulation, further supporting its protective role. The lack of UA activity in SERCA knockdown cells suggests that UA regulates cellular homeostasis through its interaction with SERCA. Collectively, our results demonstrate that UA protects against PA-induced ER stress and enhances cell survival by regulating calcium homeostasis in MAM through SERCA. This study highlights the potential of UA as a therapeutic agent for metabolic disorders associated with ER stress.
DOI: 10.5281/zenodo.14260435
title: LIBRARY WORK AND LIBRARIES IN BUKHARA EMIRATE
DOI: 10.5281/zenodo.14260436
title: LIBRARY WORK AND LIBRARIES IN BUKHARA EMIRATE
DOI: 10.15468/dl.tz6nva
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Spain",
 "DatasetKey is one of (DIBA-Parc Natural del Montseny, CeDoc de Biodiversitat Vegetal: BCN-Cormophyta, Institut Botanic de Barcelona (IBB, CSIC-Ajuntament de Barcelona), BC-Plantae, CSIC-Real Jardín Botánico-Anthos. Sistema de Información de las Plantas de España, CSIC-Real Jardín Botánico-Colección de Plantas Vasculares (MA))",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio pterophorus DC."
 ]
}

 The dataset includes 122 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012086-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/qrjotk
title: FAIRCHAIN_Assessment indicators_CS Sweden_demonstrated_VC.tab

description: :unav
DOI: 10.15468/dl.2qtqa5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((36.47583 -1.399167, 36.47583 -1.398333, 36.47667 -1.398333, 36.47667 -1.3925, 36.4775 -1.3925, 36.4775 -1.390833, 36.47833 -1.390833, 36.47833 -1.389167, 36.4775 -1.389167, 36.4775 -1.380833, 36.47833 -1.380833, 36.47833 -1.3725, 36.4775 -1.3725, 36.4775 -1.370833, 36.47667 -1.370833, 36.47667 -1.37, 36.47583 -1.37, 36.47583 -1.369167, 36.475 -1.369167, 36.475 -1.368333, 36.47417 -1.368333, 36.47417 -1.371667, 36.47333 -1.371667, 36.47333 -1.373333, 36.47417 -1.373333, 36.47417 -1.3775, 36.475 -1.3775, 36.475 -1.381667, 36.47417 -1.381667, 36.47417 -1.388333, 36.475 -1.388333, 36.475 -1.394167, 36.47417 -1.394167, 36.47417 -1.395833, 36.47333 -1.395833, 36.47333 -1.3975, 36.4725 -1.3975, 36.4725 -1.399167, 36.47583 -1.399167))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012087-241126133413365/datasets/export for details.
DOI: 10.15468/dl.9e83w5
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camellia japonica Champ."
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012089-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dakzk6
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alopias pelagicus Nakamura, 1935",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012088-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14260448
title: ETHNOCULTURE AND ITS SYSTEMATIC FUNCTIONAL CHARACTERISTICS
DOI: 10.5281/zenodo.14260449
title: ETHNOCULTURE AND ITS SYSTEMATIC FUNCTIONAL CHARACTERISTICS
DOI: 10.15468/dl.7ax9ph
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((36.86167 -1.316667, 36.86167 -1.315833, 36.8625 -1.315833, 36.8625 -1.315, 36.86333 -1.315, 36.86333 -1.313333, 36.86417 -1.313333, 36.86417 -1.311667, 36.85667 -1.311667, 36.85667 -1.310833, 36.84667 -1.310833, 36.84667 -1.314167, 36.84583 -1.314167, 36.84583 -1.315833, 36.845 -1.315833, 36.845 -1.316667, 36.84417 -1.316667, 36.84417 -1.3175, 36.84333 -1.3175, 36.84333 -1.318333, 36.84167 -1.318333, 36.84167 -1.319167, 36.84583 -1.319167, 36.84583 -1.318333, 36.84833 -1.318333, 36.84833 -1.3175, 36.85 -1.3175, 36.85 -1.316667, 36.85167 -1.316667, 36.85167 -1.3175, 36.85583 -1.3175, 36.85583 -1.318333, 36.85833 -1.318333, 36.85833 -1.3175, 36.86083 -1.3175, 36.86083 -1.316667, 36.86167 -1.316667))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012091-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13903900
title: DeepCanola: Phenotyping Brassica Pods Using Semi-Synthetic Data and Active Learning

description: Dataset accomapnying the publication: DeepCanola: Phenotyping Brassica Pods Using Semi-Synthetic Data and Active Learning by Van Vliet, Atkins et al.

We provide:



Model weights in deepcanola.pth

The ground-truth backgorund and pod+mask pools used to generate the semi-synthetic datasets

The validation dataset BR11 (both ordered and disordered) and BR17 (ordered only)

The outputted valve length dataset on the complete BR11 and 17 dataset.
DOI: 10.5281/zenodo.13903899
title: DeepCanola: Phenotyping Brassica Pods Using Semi-Synthetic Data and Active Learning

description: Dataset accomapnying the publication: DeepCanola: Phenotyping Brassica Pods Using Semi-Synthetic Data and Active Learning by Van Vliet, Atkins et al.

We provide model weights, training and vlidation datasets, as well as phenotype outputs. Each file/folder is outlined below:



deepcanola.pth - Model weights for the final Model 4, named DeepCanola

generated_datasets - Datasets generated at each stage of the active learning process, datasets 1-4



Each folder is an iteration of the active learning process, inside each folder are the generated images and associated annotations stored in the COCO format.



real_world_datasets - Real-world datasets used for either creation of the pod pools or validation. Datasets include:



br9 - Ordered and disordered dataset of images with generated pod length data of the ordered images stored in the `br9_gt_lengths.csv` file

br11 - Ordered and disordered dataset of images only

br17 - Ordered dataset with ground-truth of images with length annotations collected in ImageJ and stored in the `BR017 POD SCAN DATA.csv` file.

misc - Dataset of miscellaneous images including Brassica napus from Rothamstead and brassica relatives



data_generation_pools - Pools used to generate semi-synthetic data at each step of the active learning process. Pools include:



background_pool - Created background images to be selected at random by the semi-synthetic data generation script

pod_pools - Pools of pods used in the semi-synthetic data generation process. Pod pools include:



br9 - 673 pods with associated masks

br9 and br17 - 673 + 332 pods with associated masks





deepcanola_outputs - Phenotype data outputs generated by DeepCanola. Each output is stored as a .csv file of both length measurements of each pod (with _objects.csv suffix), and average length measurements per image (with _averages.csv suffix). Outputs include:



br9_ordered

br9_disordered

br17
DOI: 10.5281/zenodo.14235543
title: DeepCanola: Phenotyping Brassica Pods Using Semi-Synthetic Data and Active Learning

description: Dataset accomapnying the publication: DeepCanola: Phenotyping Brassica Pods Using Semi-Synthetic Data and Active Learning by Van Vliet, Atkins et al.

We provide model weights, training and vlidation datasets, as well as phenotype outputs. Each file/folder is outlined below:



deepcanola.pth - Model weights for the final Model 4, named DeepCanola

generated_datasets - Datasets generated at each stage of the active learning process, datasets 1-4



Each folder is an iteration of the active learning process, inside each folder are the generated images and associated annotations stored in the COCO format.



real_world_datasets - Real-world datasets used for either creation of the pod pools or validation. Datasets include:



br9 - Ordered and disordered dataset of images with generated pod length data of the ordered images stored in the `br9_gt_lengths.csv` file

br11 - Ordered and disordered dataset of images only

br17 - Ordered dataset with ground-truth of images with length annotations collected in ImageJ and stored in the `BR017 POD SCAN DATA.csv` file.

misc - Dataset of miscellaneous images including Brassica napus from Rothamstead and brassica relatives



data_generation_pools - Pools used to generate semi-synthetic data at each step of the active learning process. Pools include:



background_pool - Created background images to be selected at random by the semi-synthetic data generation script

pod_pools - Pools of pods used in the semi-synthetic data generation process. Pod pools include:



br9 - 673 pods with associated masks

br9 and br17 - 673 + 332 pods with associated masks





deepcanola_outputs - Phenotype data outputs generated by DeepCanola. Each output is stored as a .csv file of both length measurements of each pod (with _objects.csv suffix), and average length measurements per image (with _averages.csv suffix). Outputs include:



br9_ordered

br9_disordered

br17
DOI: 10.15468/dl.gsmtbk
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alopias superciliosus Lowe, 1841",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012092-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.12323
title: Dataset for: The Influence of Event Segmentation by Context on Stimulus-Response Binding

description: Dataset for: Qiu, R., Möller, M., Koch, I., Frings, C., & Mayr, S. (2023). The influence of event segmentation by context on stimulus–response binding. Journal of Experimental Psychology: Human Perception and Performance, 49(3), 355–369. https://doi.org/10.1037/xhp0001093
description: A core characteristic of auditory stimuli is that they develop over time. Referring to the event segmentation theory, we assume that the on- and offset of a contextual sound indicates the start and end of an event. As a consequence, stimuli and responses appearing within a common auditory context may be integrated more likely/strongly, forming so-called event files, than those appearing in different auditory contexts. In two experiments, this hypothesis was tested using the negative priming paradigm and the distractor–response binding paradigm. In prime–probe presentations, participants identified target sounds via keypresses while ignoring distractor sounds. Additional sine tones acted as the context in the prime, whereas the probe context was silence. In the common context condition, the context started with the prime sounds and ended with the prime response. In the changing context condition, the context started with the prime sounds but changed to another tone after the offset of the prime sounds. Results from both experiments revealed a larger stimulus–response binding effect in the common than in the changing context condition. We conducted a control experiment to test the alternative account of contextual similarity between the prime and the probe. Together, our results suggest that common context can temporally segment stimuli and responses into event files, providing evidence of common context as a binding principle.
description: ZIP file contains: Raw data and preprocessing code for Experiment 1, Experiment 2A and Experiment 2B