cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.u5g66r
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argemone mexicana L.",
 "Country is Kenya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081627-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ztk3er
title: Occurrence Download

description: A dataset containing 4043 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Material citation, Specimen, Occurrence evidence)",
 "Continent is one of (North America, South America)",
 "TaxonKey is Tripterygiidae"
 ]
}

 The dataset includes 4043 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081629-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eqrqc7
title: Occurrence Download

description: A dataset containing 2895 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Historic Wildlife Roadkill Reports from Vermont, USA (1971-2006)"
 ]
}

 The dataset includes 2895 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081628-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yv55ac
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argemone mexicana L.",
 "Country is Madagascar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 69 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081631-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15768699
title: Geochemistry of porewater across the Black Sea. DOORS3 cruise

description: Geochemistry of porewater across the Black Sea during DOORS3 cruise (June 1-20, 2024)

Datasets contain: methane, d13C-CH4, porosity, total alkalinity, sulfate, calcium, potasium, magnesium,  chloride, silicium, litium, strontium,...
DOI: 10.5281/zenodo.15773491
title: Geochemistry of porewater across the Black Sea. DOORS3 cruise

description: Geochemistry of porewater across the Black Sea during DOORS3 cruise (June 1-20, 2024)

Datasets contain: methane, d13C-CH4, porosity, total alkalinity, sulfate, calcium, potasium, magnesium,  chloride, silicium, litium, strontium,...
DOI: 10.15468/dl.47nggu
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argemone mexicana L.",
 "Country is Mauritius",
 "HasCoordinate is true"
 ]
}

 The dataset includes 61 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081632-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xnqtw8
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argemone mexicana L.",
 "Country is Nepal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 114 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081633-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14365541
title: Neoantigen-1a-Fusion-Database-Generation

description: A neoantigen is a novel peptide (protein fragment) that is produced by cancer cells due to mutations, including gene fusions, that alter the DNA sequence in a way that generates unique proteins not found in normal cells. Because these mutated proteins are unique to the tumor, they are recognized as "foreign" by the immune system. Neoantigens are valuable in immunotherapy because they can serve as specific targets for the immune system, allowing treatments to selectively attack cancer cells while sparing normal tissue. By stimulating an immune response specifically against these neoantigens, therapies like cancer vaccines or T-cell-based treatments can be developed to enhance the body’s natural defense mechanisms, making neoantigens a promising avenue for personalized cancer treatment.

Creating a fusion database is essential in cancer genomics and personalized medicine, as it enables the identification of crucial biomarkers, enhances diagnostic accuracy, and supports therapeutic development. Gene fusions, where parts of two previously separate genes merge, can produce abnormal proteins that drive cancer. Cataloging these fusion events in a database helps researchers identify specific biomarkers linked to cancer types and design more targeted treatments. Additionally, fusion events may lead to unique peptide sequences, known as neoantigens, which are found only in cancer cells. These neoantigens can be targeted by the immune system, making fusion databases valuable in designing personalized immunotherapies like cancer vaccines or T-cell therapies. Some gene fusions also create oncogenic proteins that promote tumor growth, such as the BCR-ABL fusion in chronic myeloid leukemia. Including such information in a database aids in identifying potential therapeutic targets and predicting treatment efficacy. On the diagnostic side, known gene fusions serve as reliable markers, helping clinicians better classify cancer types and choose the most effective treatments. Finally, fusion databases provide a critical reference for researchers studying fusion mechanisms, their impact on disease progression, and their prevalence across cancers, ultimately fueling the discovery of novel treatments and therapies.
DOI: 10.5281/zenodo.14365542
title: Neoantigen-1a-Fusion-Database-Generation

description: A neoantigen is a novel peptide (protein fragment) that is produced by cancer cells due to mutations, including gene fusions, that alter the DNA sequence in a way that generates unique proteins not found in normal cells. Because these mutated proteins are unique to the tumor, they are recognized as "foreign" by the immune system. Neoantigens are valuable in immunotherapy because they can serve as specific targets for the immune system, allowing treatments to selectively attack cancer cells while sparing normal tissue. By stimulating an immune response specifically against these neoantigens, therapies like cancer vaccines or T-cell-based treatments can be developed to enhance the body’s natural defense mechanisms, making neoantigens a promising avenue for personalized cancer treatment.

Creating a fusion database is essential in cancer genomics and personalized medicine, as it enables the identification of crucial biomarkers, enhances diagnostic accuracy, and supports therapeutic development. Gene fusions, where parts of two previously separate genes merge, can produce abnormal proteins that drive cancer. Cataloging these fusion events in a database helps researchers identify specific biomarkers linked to cancer types and design more targeted treatments. Additionally, fusion events may lead to unique peptide sequences, known as neoantigens, which are found only in cancer cells. These neoantigens can be targeted by the immune system, making fusion databases valuable in designing personalized immunotherapies like cancer vaccines or T-cell therapies. Some gene fusions also create oncogenic proteins that promote tumor growth, such as the BCR-ABL fusion in chronic myeloid leukemia. Including such information in a database aids in identifying potential therapeutic targets and predicting treatment efficacy. On the diagnostic side, known gene fusions serve as reliable markers, helping clinicians better classify cancer types and choose the most effective treatments. Finally, fusion databases provide a critical reference for researchers studying fusion mechanisms, their impact on disease progression, and their prevalence across cancers, ultimately fueling the discovery of novel treatments and therapies.
DOI: 10.25550/8c-wdxg
title: KMT2C and KMT2D enhancer chromatin regulation during cranial neural crest osteochondral differentiation

description: (TO BE COMPLETED...) Genomic data examining gene expression and enhancer histone modifications due to mutations in KMT2C and KMT2D histone methylases in cranial neural crest cells and differentiated osteoblasts. Raw data will be uploaded including RNA-seq and CUT&Tag for H3K4me1 and H3K27ac.
DOI: 10.15468/dl.rk6fzj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argemone mexicana L.",
 "Country is Samoa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081636-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.14372520
title: Neoantigen-1b-Non-Reference-Database-Generation

description: Proteogenomics leverages mass spectrometry (MS)-based proteomics data alongside genomics and transcriptomics data to identify neoantigens—unique peptide sequences arising from tumor-specific mutations. In the initial section of this tutorial, we will construct a customized protein database (FASTA) using RNA-sequencing files (FASTQ) derived from tumor samples. Following this, we will conduct sequence database searches using the resultant FASTA file and MS data to identify peptides corresponding to novel proteoforms, specifically focusing on potential neoantigens. We will then assign genomic coordinates and annotations to these identified peptides and visualize the data, assessing both spectral quality and genomic localization. In this framework, Proteogenomics incorporates RNA-Seq data to generate tailored protein sequence databases, enabling the identification of protein sequence variants, including neoantigens, through mass spectrometry analysis.
DOI: 10.5281/zenodo.14372521
title: Neoantigen-1b-Non-Reference-Database-Generation

description: Proteogenomics leverages mass spectrometry (MS)-based proteomics data alongside genomics and transcriptomics data to identify neoantigens—unique peptide sequences arising from tumor-specific mutations. In the initial section of this tutorial, we will construct a customized protein database (FASTA) using RNA-sequencing files (FASTQ) derived from tumor samples. Following this, we will conduct sequence database searches using the resultant FASTA file and MS data to identify peptides corresponding to novel proteoforms, specifically focusing on potential neoantigens. We will then assign genomic coordinates and annotations to these identified peptides and visualize the data, assessing both spectral quality and genomic localization. In this framework, Proteogenomics incorporates RNA-Seq data to generate tailored protein sequence databases, enabling the identification of protein sequence variants, including neoantigens, through mass spectrometry analysis.
DOI: 10.15468/dl.n6y7an
title: Occurrence Download

description: A dataset containing 63992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Melierax canorus (Thunberg, 1799)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 63992 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081617-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzxz76
title: Occurrence Download

description: A dataset containing 564 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argemone mexicana L.",
 "Country is Saudi Arabia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 564 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081637-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xmz7eq
title: Occurrence Download

description: A dataset containing 286 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argemone mexicana L.",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 286 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081638-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/g3fbm5pwm6.1
title: Cybersecurity Awareness Dataset on HTTPS Usage among Moroccan Web Users and Webmasters

description: The dataset contains responses from 440 Moroccan web users and webmasters who completed a structured survey on cybersecurity awareness and HTTPS-related behaviors. The data were collected using Google Forms and distributed widely through active web development and cybersecurity communities on platforms such as Facebook, WhatsApp, and LinkedIn. The dataset includes raw responses, processed data, encoded datasets, clustering outputs, and interpretation reports generated using machine learning techniques and large language models (LLMs). These reports offer detailed assessments and actionable cybersecurity recommendations. This dataset supports the study of real-world HTTPS deployment practices and secure browsing behaviors across different user roles.
DOI: 10.17632/8wxvxrxg9j
title: Dataset for Climatic change and volcanic activity controlling the net carbon sequestration of peatlands in Northeast Asia

description: Dataset for Climatic change and volcanic activity controlling the net carbon sequestration of peatlands in Northeast Asia
DOI: 10.17632/8wxvxrxg9j.1
title: Dataset for Climatic change and volcanic activity controlling the net carbon sequestration of peatlands in Northeast Asia

description: Dataset for Climatic change and volcanic activity controlling the net carbon sequestration of peatlands in Northeast Asia
DOI: 10.17632/xd4h7gkc7g
title: Meta Analysis

description: This file contains data from a meta-analysis conducted on the effect of fertilisation and irrigation on greenhouse gas emissions in soils affected by salt.
DOI: 10.17632/xd4h7gkc7g.1
title: Meta Analysis

description: This file contains data from a meta-analysis conducted on the effect of fertilisation and irrigation on greenhouse gas emissions in soils affected by salt.
DOI: 10.34740/kaggle/dsv/12332910
title: llms.txt
DOI: 10.17632/z2ds3d6xk4.1
title: A conserved teleost motor asymmetry requires evolutionary retention of vision

description: Behavioral laterality is a prominent feature in Bilateria, where a motor function is performed with a leftward or rightward preference. Underlying these lateralized or asymmetric behaviors is thought to be hemispheric specializations that improve behavioral performance. Despite the prevalence of behavioral lateralization, our understanding of the neural and molecular substrates instructing its underlying neural mechanisms are limited. Moreover, how functional lateralization is selected for or modulated throughout evolution is poorly understood. Comparative approaches are a powerful strategy for addressing fundamental biological questions at individual, population, and evolutionary scales. Yet, a major obstacle for employing comparative analysis to address laterality has been the lack of a conserved lateralized behavior in lab assessable species. Previously, we described a robust visuomotor asymmetry in larval zebrafish that is a motor element of search pattern behavior. In this study, we compare search pattern behavior and motor asymmetry across a range of lab-accessible larval teleost species. We show that motor patterns underlying search behavior are variable throughout teleost evolution while behavioral asymmetry is conserved across four phylogenetic Orders of sighted larval teleost, yet not naturally blind cavefish. Our data demonstrates that motor asymmetry in larval teleosts is a conserved and tractable lateralized behavior that can be modulated by natural selection in a vision dependent manner. Our findings reveal that motor asymmetry is a deeply conserved and tractable behavioral phenotype in larval teleosts, and one that can be shaped by natural selection. This establishes larval teleosts as a powerful system for dissecting the neural architecture and evolutionary forces that govern behavioral lateralization, bridging the gap between mechanism and adaptation
DOI: 10.15468/dl.e349bu
title: Occurrence Download

description: A dataset containing 77108 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Roadkill Data: a dataset on terrestrial vertebrate mortality caused by collision with vehicles (Systematic Records)"
 ]
}

 The dataset includes 77108 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081630-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6h53jrhf7t
title: A dataset comparing the performance of a publicly available generative artificial intelligence chatbot and its customised version in providing first aid guidance for seizures

description: The applicability of generative artificial intelligence chatbots as first aid consultants is a topical issue. This dataset contains the results of an analysis comparing the quality of seizure first aid recommendations generated by the publicly available chatbot ChatGPT (GPT-4o model) with those generated by its customised version.
The dataset consists of three files.
The first file (customisation rules.txt) contains customised text instructions for the chatbot, including definitions of key terms and roles, communication and dialogue style guidelines, a catalogue and description of knowledge base documents, operational recommendations for applying knowledge base documents in dialogue, prohibited actions, barrier mitigation strategies, chatbot phrasing examples, and conversation closure instructions.
The second file (instructions.txt) contains four sets of mandatory questions and instructional wordings corresponding to the following emergency scenarios: scenario I – an unconscious victim with ongoing seizures; scenario II – a victim in the postictal period, unconscious, not breathing; scenario III – a victim in the postictal period, unconscious, breathing normally; scenario IV – a victim in the postictal period, conscious.
The third file (evaluation results.xlsx) contains the results of a comparative analysis of the effectiveness of the publicly available chatbot (Baseline_# sheets) and its customised version (Custom_# sheets) according to checklists corresponding to the dialogue scenarios.
DOI: 10.17632/6h53jrhf7t.1
title: A dataset comparing the performance of a publicly available generative artificial intelligence chatbot and its customised version in providing first aid guidance for seizures

description: The applicability of generative artificial intelligence chatbots as first aid consultants is a topical issue. This dataset contains the results of an analysis comparing the quality of seizure first aid recommendations generated by the publicly available chatbot ChatGPT (GPT-4o model) with those generated by its customised version.
The dataset consists of three files.
The first file (customisation rules.txt) contains customised text instructions for the chatbot, including definitions of key terms and roles, communication and dialogue style guidelines, a catalogue and description of knowledge base documents, operational recommendations for applying knowledge base documents in dialogue, prohibited actions, barrier mitigation strategies, chatbot phrasing examples, and conversation closure instructions.
The second file (instructions.txt) contains four sets of mandatory questions and instructional wordings corresponding to the following emergency scenarios: scenario I – an unconscious victim with ongoing seizures; scenario II – a victim in the postictal period, unconscious, not breathing; scenario III – a victim in the postictal period, unconscious, breathing normally; scenario IV – a victim in the postictal period, conscious.
The third file (evaluation results.xlsx) contains the results of a comparative analysis of the effectiveness of the publicly available chatbot (Baseline_# sheets) and its customised version (Custom_# sheets) according to checklists corresponding to the dialogue scenarios.
DOI: 10.17632/xd8659jj9z
title: Lamb Survival Dataset

description: Dataset used for lamb survival and death reason analysis
DOI: 10.17632/xd8659jj9z.2
title: Lamb Survival Dataset

description: Dataset used for lamb survival and death reason analysis
DOI: 10.17632/fbw96t94j3
title: Results of the soil erosion modulus in the source region of the Yellow River from 2001 to 2022 calculated by the GA-CatBoost model

description: This study collected 537 samples of 137Cs from the source region of the Yellow River between 2015 and 2022, forming the basis for developing a comprehensive soil erosion assessment model. The dataset highlights the estimation results of the optimal model across the entire study area.
Version 2 of this dataset contains the results of sensitivity analyses based on the original (Version 1) outputs. Sensitivity analyses were performed for the following variables: precipitation, temperature, snow, NDVI, DVI, NDVGI, NDWI, SAVI, population density, and SOC. For the three meteorological variables (precipitation, temperature, and snow), we used the average values from 1963 (the onset of ^137Cs fallout) to the sampling year. For all other variables, due to data availability constraints, we used the average values from 2000 to the sampling year in the machine learning models. This dataset provides annual results for each sensitivity analysis from 2001 to 2022. The analyses demonstrate that our research findings are robust with respect to model performance, the spatial distribution of soil erosion, and the temporal trends of total soil erosion.
DOI: 10.15468/dl.wtmfsp
title: Occurrence Download

description: A dataset containing 23313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Melierax metabates Heuglin, 1861",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 23313 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081641-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.