cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30093510.v1
title: MicroRNAs signatures in small extracellular vesicles for psychological resilience in young adults using machine learning

description: Psychological resilience refers to an individual’s capacity to adapt to adverse events. MicroRNAs (miRNAs) play a crucial role in regulating post-transcriptional processes, while small extracellular vesicles (sEVs) act as transport vehicles. This study aimed to employ genome-wide profiling to identify and validate differences in the expression of resilience-associated sEV-miRNAs between low resilience (LR) and high resilience (HR) in young adults. Eighty participants were divided into LR or HR based on the Connor – Davidson Resilience Scale (CD-RISC). The expression levels of the target sEV-miRNAs in LR and HR were compared and analyzed. Expression analyses demonstrated significant differences in let-7b, miR-151b, miR-335, and miR-193a between LR and HR (<i>p</i> &lt; 0.01), with let-7b showing the highest discriminative ability. The AUC values for each sEV-miRNA ranged from 0.74 to 0.94, based on logistic regression and three machine learning models: random forest, support vector machine, and eXtreme gradient boosting. Based on leave-one-out cross-validation in different models, the combined four sEV-miRNAs demonstrated strong performance for detecting LR (AUC = 0.87–0.90). Sex-specific differences were also observed, with female participants showing more pronounced resilience signatures in targeted sEV-miRNAs. These findings suggest that sEV-miRNAs hold potential as biomarkers for psychological resilience in young adults. This study investigates the biological underpinnings of psychological resilience, the capacity of some young adults to adapt more effectively to stress than others. We scanned the entire set of genetic messages to find specific small molecules that regulate gene expression linked to how people handle stress. These specific molecules are packaged in tiny particles called small extracellular vesicles (sEVs), which protect them and help deliver them to other cells. Blood samples were collected from young adults with high or low resilience, based on a validated psychological scale. We then examined the levels of these specific molecules in the tiny particles. Four specific molecules showed significant differences between the groups. These specific molecules could help identify people with low resilience. We also used machine learning models to check and verify whether these specific molecules could distinguish low-resilience individuals. Notably, these specific molecules were more effective in females. The findings suggest that these specific molecules may have the potential to identify stress vulnerability and guide early psychological support strategies.
DOI: 10.6084/m9.figshare.29978657
title: Epigenetic synthetic lethality as a cancer therapeutic strategy: synergy of experimental and computational approaches

description: Cancer treatment is an ongoing challenge, as directly targeting oncogenic drivers is often unfeasible in many patients due to the lack of druggable targets. This has led to the exploration of alternative strategies, such as exploiting synthetic lethality (SL) relationships between genes. SL facilitates the indirect targeting of oncogenic drivers, as exemplified by the clinical success of PARP inhibitors against BRCA-mutated tumors. Advances in high-throughput perturbation screens and multi-omics technologies have deepened our understanding of SL relationships, while computational models enhance SL predictions to better reflect biological complexity. However, while numerous experimental and computational methods have been developed to identify SL interactions, difficulties remain in translating these findings into clinical applications. This review combines recent progress on SL relationships in cancer with emerging insights into epigenetic regulation, highlighting how epigenetic drugs (epidrugs) can provide new opportunities for targeted interventions, offering a way to minimize off-target effects and enhance therapeutic precision. To advance SL-based therapies, efforts must focus not only on identifying new SL interactions but also on consolidating existing knowledge and integrating experimental and computational approaches to characterize the vulnerabilities of cancer cells. Strengthening this foundation will be critical for the effective development of SL-based cancer treatments. Synthetic Lethality (SL) describes a relationship between a pair of genes where cells remain viable if at least one gene of the pair functions normally, but die if both genes are altered (e.g. mutated) at the same time. These alterations may occur naturally or can be drug-induced. Genes are often mutated in cancer cells, so therapeutically altering the SL partner of a gene already mutated in the cancer cells leads to cell death, as both partner genes are now altered, while normal cells lacking the initial mutation are spared. As gene function can be affected by diverse alterations besides DNA mutations, the mechanisms that control gene regulation without changing the DNA sequence, referred to as epigenetics, also need to be considered. In this Perspective, we highlight the importance of integrating both genetic and epigenetic alterations while studying SL relationships, and we explore how these SL relationships can be better identified by integrating experimental and computational approaches, to understand gene-gene interactions in order to broaden the treatment possibilities.
DOI: 10.6084/m9.figshare.29978657.v1
title: Epigenetic synthetic lethality as a cancer therapeutic strategy: synergy of experimental and computational approaches

description: Cancer treatment is an ongoing challenge, as directly targeting oncogenic drivers is often unfeasible in many patients due to the lack of druggable targets. This has led to the exploration of alternative strategies, such as exploiting synthetic lethality (SL) relationships between genes. SL facilitates the indirect targeting of oncogenic drivers, as exemplified by the clinical success of PARP inhibitors against BRCA-mutated tumors. Advances in high-throughput perturbation screens and multi-omics technologies have deepened our understanding of SL relationships, while computational models enhance SL predictions to better reflect biological complexity. However, while numerous experimental and computational methods have been developed to identify SL interactions, difficulties remain in translating these findings into clinical applications. This review combines recent progress on SL relationships in cancer with emerging insights into epigenetic regulation, highlighting how epigenetic drugs (epidrugs) can provide new opportunities for targeted interventions, offering a way to minimize off-target effects and enhance therapeutic precision. To advance SL-based therapies, efforts must focus not only on identifying new SL interactions but also on consolidating existing knowledge and integrating experimental and computational approaches to characterize the vulnerabilities of cancer cells. Strengthening this foundation will be critical for the effective development of SL-based cancer treatments. Synthetic Lethality (SL) describes a relationship between a pair of genes where cells remain viable if at least one gene of the pair functions normally, but die if both genes are altered (e.g. mutated) at the same time. These alterations may occur naturally or can be drug-induced. Genes are often mutated in cancer cells, so therapeutically altering the SL partner of a gene already mutated in the cancer cells leads to cell death, as both partner genes are now altered, while normal cells lacking the initial mutation are spared. As gene function can be affected by diverse alterations besides DNA mutations, the mechanisms that control gene regulation without changing the DNA sequence, referred to as epigenetics, also need to be considered. In this Perspective, we highlight the importance of integrating both genetic and epigenetic alterations while studying SL relationships, and we explore how these SL relationships can be better identified by integrating experimental and computational approaches, to understand gene-gene interactions in order to broaden the treatment possibilities.
DOI: 10.15468/dl.jkmtdy
title: Occurrence Download

description: A dataset containing 3427 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Bungarus multicinctus Blyth, 1861, Bungarus fasciatus (Schneider, 1801))"
 ]
}

 The dataset includes 3427 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054308-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5dq46b
title: Occurrence Download

description: A dataset containing 1349 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Chinese Taipei)",
 "TaxonKey is Strobilanthes cusia (Nees) Kuntze"
 ]
}

 The dataset includes 1349 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054309-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14587448
title: Training dataset for cryoDANN: Particle image classifier for cryoEM images

description: This is the training dataset which is to be used with cryoDANN for classifying the cryoEM particle images.
DOI: 10.5281/zenodo.14587449
title: Training dataset for cryoDANN: Particle image classifier for cryoEM images

description: This is the training dataset which is to be used with cryoDANN for classifying the cryoEM particle images.
DOI: 10.15468/dl.eujx36
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-95.483 50.062,-94.582 50.062,-94.582 50.706,-95.483 50.706,-95.483 50.062))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aegolius acadicus (J.F.Gmelin, 1788)"
 ]
}

 The dataset includes 26 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054311-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c42qe2
title: Occurrence Download

description: A dataset containing 2250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "TaxonKey is Sus scrofa Linnaeus, 1758"
 ]
}

 The dataset includes 2250 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054312-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqnfta
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "Continent is Asia",
 "OccurrenceStatus is Present",
 "TaxonKey is Elaphurus davidianus Milne-Edwards, 1866"
 ]
}

 The dataset includes 100 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054314-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ed8mu4
title: Occurrence Download

description: A dataset containing 11827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((20.89427 34.20084,55.37036 34.20084,55.37036 47.98522,20.89427 47.98522,20.89427 34.20084))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ambrosia L."
 ]
}

 The dataset includes 11827 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054313-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t49k7z
title: Occurrence Download

description: A dataset containing 137618 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Equatorial Guinea"
 ]
}

 The dataset includes 137618 records from 445 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054286-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/7470dd6a14c34dd3
title: Custom collection of categorize, classification, drizzle, droplet effective radius, ice effective radius, and 2 other products from Lindenberg on 6 Jan 2024
DOI: 10.15468/dl.242rb2
title: Occurrence Download

description: A dataset containing 11827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((20.89427 34.20084,55.37036 34.20084,55.37036 47.98522,20.89427 47.98522,20.89427 34.20084))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ambrosia L."
 ]
}

 The dataset includes 11827 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054315-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/f2ae93325c2a4859
title: Custom collection of categorize, classification, drizzle, droplet effective radius, ice effective radius, and 2 other products from Lindenberg on 7 Jan 2024
DOI: 10.15468/dl.4zdwdd
title: Occurrence Download

description: A dataset containing 607 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alyssum loiseleurii P.Fourn."
 ]
}

 The dataset includes 607 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054316-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17863/cam.111882
title: Research data supporting "A framework for modelling desert locust population dynamics and large-scale dispersal"

description: Data required to run the code on population dynamics and dispersal of desert locust. The code integrates DL breeding, development through egg, hopper and adult stages, feeding and swarm migration with remote-sensed data and weather-driven models for wind trajectories. Before running the tutorial or the sub-models, dowload 'Data.zip' from this repository and unarchive file with data.
DOI: 10.34740/kaggle/dsv/10354961
title: Luftdata Västra Esplanaden
DOI: 10.60656/f9c4bfb2d7e44bfa
title: Custom collection of categorize, classification, drizzle, droplet effective radius, ice effective radius, and 2 other products from Lindenberg on 11 Jan 2024
DOI: 10.15468/dl.jvx876
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apium graveolens subsp. butronensis (D.Gómez & G.Monts.) Aizpuru"
 ]
}

 The dataset includes 43 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054317-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15125/bath-01318
title: Dataset for "Pioneering  Net Zero Carbon Construction Policy in Bath & North East Somerset"

description: This data was collected as part of a collaborative project between the University of Bath and Bath and North East Somerset Council, which studied the implementation of new sustainable construction planning policies, the first of their kind in the UK to require that: 

•	All new residential and major non-residential building developments must achieve net zero operational energy, conforming to ambitious energy consumption targets, matching this with on-site renewables, and only offsetting the difference in exceptional circumstances.
•	Major residential and non-residential developments must demonstrate an embodied carbon lower than a threshold value, including the substructure, superstructure and finishes, with no offsetting permitted.  

The data includes analysis of incoming planning application, relating to the characteristics of proposed buildings and key parameters submitted to comply with the net zero energy requirements. 

A questionnaire was also sent out to applicants, with both written and numerical responses included in this dataset.
description: Further relevant documentation may be found in the following resources.

   Šimaitis, J., Hawkins, W., Shea, A., Allen, S., Marsh, E., Phelps, P., Barnes, A., Daone, R., McCann, A., Bell, A., and Nikolaidou, E.,  2023.   Pioneering Net Zero Carbon Construction Policy in Bath & North East Somerset: investigating the industry's response to the introduction of novel planning policies.       Version 1.  Bath: University of Bath.  Available from: https://doi.org/10.15125/BATHRO-297388880.
DOI: 10.23668/psycharchives.8383
title: Dataset: The effect of experimentally induced comparative victim beliefs regarding the civil war and ingroup identification on intergroup relations in Lebanon

description: The data was collected in 2020, in the context of a doctoral thesis in social and cultural psychology at the University of Brussels, Belgium. Thesis title: Were we all victims and perpetrators? How national and religious identifications and processes of victimhood and responsibility attributions for the civil war affect present-day intergroup relations in Lebanon. This thesis aims to study the role of ingroup identification in shaping construals of group victimhood and responsibility attributions, in addition to the impact of these factors on intergroup relations. We choose to study this phenomenon in the context of the Lebanese civil war, in Lebanese citizens currently residing in Lebanon, evaluating two types of ingroup identification (national and religious) in the two main religious groups (Christians and Muslims). Quantitative data collected via online survey among Lebanese citizens currently residing in Lebanon. This project aimed to assess the effect of manipulating competitive and inclusive victimhood, in addition to ingroup identification, on intergroup relations in Lebanon and other factors (Outgroup attitudes, willingness to engage in contact, intergroup similarity perception, forgiveness, collective action and responsibility attribution). Method of data collection (sample description, procedure, variables scales and items), and a codebook (variables names and their code explained, to better understand the csv and sav data files) are provided. CMLCW P4: Collective Memory of The Lebanese Civil War (project acronym) Project #4 (the thesis included 5 projects/Datasets).
description: Dataset of the project in two different formats; Method and Codebook of Dataset;
DOI: 10.23668/psycharchives.8385
title: Dataset: Collective memory of the Lebanese Civil War, ingroup identification and construals of violence.

description: The data was collected in, 2019, in the context of a doctoral thesis in social and cultural psychology at the University of Brussels, Belgium. Thesis title: Were we all victims and perpetrators? How national and religious identifications and processes of victimhood and responsibility attributions for the civil war affect present-day intergroup relations in Lebanon. This thesis aims to study the role of ingroup identification in shaping construals of group victimhood and responsibility attributions, in addition to the impact of these factors on intergroup relations. We choose to study this phenomenon in the context of the Lebanese civil war, in Lebanese citizens currently residing in Lebanon, evaluating two types of ingroup identification (national and religious) in the two main religious groups (Christians and Muslims). Quantitative data collected via online survey among Lebanese citizens currently residing in Lebanon. This project aimed to assess how construals of victimhood and responsibility and collective emotions are expressed after being exposed to civil war events, in addition to the impact of group membership and identification on this process. Particularly in this project (among the 5 projects in this thesis) we assessed Arabic and Political identification levels (in addition to Lebanese and religious). Method of data collection (sample description, procedure, variables scales and items), and a codebook (variables names and their code explained, to better understand the csv and sav data files) are provided. CMLCW P1: Collective Memory of The Lebanese Civil War (project acronym) Project #1 (the thesis included 5 projects/Datasets).
description: Dataset of the project in two different formats; Method and Codebook of Dataset
DOI: 10.15468/dl.np7g3g
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "Continent is one of (Europe, North America, South America)",
 "OccurrenceStatus is Present",
 "TaxonKey is Elaphurus davidianus Milne-Edwards, 1866"
 ]
}

 The dataset includes 106 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054318-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/9c09c6590a3546cc
title: Custom collection of categorize, classification, drizzle, droplet effective radius, ice effective radius, and 2 other products from Lindenberg on 12 Jan 2024
DOI: 10.15468/dl.khn9j3
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Armeria merinoi (Bernis) Nieto Fel. & Silva Pando"
 ]
}

 The dataset includes 75 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054319-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.