cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ph2b93bbwk.3
title: Raw Air Quality and Meteorological Data from February 11th, 2024 Pollution Event

description: This dataset contains pollutants concentration and meteorological data collected by several stations during a significant pollution event that occurred on February 11th, 2024. The data were gathered from air quality monitoring stations and meteorological stations located at various points, measuring a variety of pollutants and atmospheric parameters.

Dataset Content:
 - Monitored pollutants: SO2, NO2, PM 2.5, and PM 10.
 - Meteorological variables: Wind Direction and Speed.

Stations involved:
 - Air Quality. In Ciudad Madero the station AQS-MR (AQS2036303358325010004B002B, in Altamira AQS-ACI (AQS2036303358325010004D002B), in Tampico AQS-PT (AQS2036303358325010004F002B) located in Puente Tampico and AQS-TA near to the airport (AQS20363033583250100040002E).
 - Meteorological stations: ICIUDA228 [22.257, -97.823], ITAMPI7 [22.287, -97.894], ICIUDA207 [22.273, -97.841], ITAMPI4 [22.245, -97.863], ITAMPI9 [22.303, -97.883], IMIRAM24 [22.324, -97.872], IMIRAM25 [22.341, -97.887], IALTAM36 [22.404, -97.938], IALTAM35 [22.521, -98.127], and IALTAM33 [22.394, -97.895]. 

Data collection frequency: 
In the case of the weather, every 5 minutes, resulting in a total of 288 data points per day for each station. And in the case of the air quality, is every minute, resulting in a total of 1440 data points per day for each station.

Event context:
After citizen reports about rotten egg-like smell in the vicinity of the local oil refinery in the Tampico-Madero-Altamira conurbation on February 11th, 2024, the local media showed vapor emissions from a chimney in the refinery. The authorities later confirmed that an electrical failure turned off a burner in one of the refinery processes, which in turn, lead to the turning on of the emergency washing system of the chimney, which at the end, caused the perceived emissions. The first citizen report of the smell was registered about 14:00 hr. This dataset covers the period before and after the reported emissions, following the evolution of the criteria pollutants ( SO2, NO2, PM2.5 and PM10) as well as the meteorological conditions that lead to the spatial diffusion of the emissions in the conurbation. This dataset offers a valuable resource for analyzing the impact of environmental conditions on air quality and public health due to specific events like this.

the original measurements (collected at one-minute intervals using Libelium-based IoT sensors) are available at higher temporal resolutions, such as minute or hourly, upon request. To access this high-resolution data, please contact Dr. Felipe Caballero at fcaballero@ipn.mx or M.I.A. Mireya del Socorro Ovando Rocha at movando@utaltamira.edu.mx.
DOI: 10.17632/5hcvttxbm7
title: Dataset of Youtube Comments on Oey Soe Tjoen Batik

description: Dataset of Youtube Comments on Oey Soe TJoen Batik
DOI: 10.17632/5hcvttxbm7.1
title: Dataset of Youtube Comments on Oey Soe Tjoen Batik

description: Dataset of Youtube Comments on Oey Soe TJoen Batik
DOI: 10.15468/dl.tw25fm
title: Occurrence Download

description: A dataset containing 17550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neovison vison",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17550 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022581-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ts8bcj2djb
title: Datos del análisis de encuesta. Seminario de Grado - Análisis de condiciones de implementación de un asistente virtual basado en IA en la biblioteca de la Universidad Alberto Hurtado

description: Matrices de datos obtenidos como parte de una encuesta de percepción sobre la adopción de IA, realizada a usuarios de la biblioteca de la Universidad Alberto Hurtado, parte de nuestro Seminario de Grado como tesistas de 5to año de la carrera de Gestión de Información, Bibliotecología y Archivística.

respuestas.xlsx corresponde a una matriz de datos sin limpiar obtenida directamente de Google Forms, herramienta utilizada para realizar la encuesta.
matriz_de_datos.xlsx corresponde a una versión a la que se le realizó una limpieza de datos inicial, con el objetivo de facilitar el análisis de datos de la encuesta.
DOI: 10.17632/ts8bcj2djb.1
title: Datos del análisis de encuesta. Seminario de Grado - Análisis de condiciones de implementación de un asistente virtual basado en IA en la biblioteca de la Universidad Alberto Hurtado

description: Matrices de datos obtenidos como parte de una encuesta de percepción sobre la adopción de IA, realizada a usuarios de la biblioteca de la Universidad Alberto Hurtado, parte de nuestro Seminario de Grado como tesistas de 5to año de la carrera de Gestión de Información, Bibliotecología y Archivística.

respuestas.xlsx corresponde a una matriz de datos sin limpiar obtenida directamente de Google Forms, herramienta utilizada para realizar la encuesta.
matriz_de_datos.xlsx corresponde a una versión a la que se le realizó una limpieza de datos inicial, con el objetivo de facilitar el análisis de datos de la encuesta.
DOI: 10.17632/4d3ygp9xhb
title: A Trend Analysis and Budyko Framework Application Study in Chingaza Natural Park, Colombia

description: The input data considered for the trend analysis and application of the Budyko framework in five basins located within or near the Chingaza Natural Park, Colombia, are presented below.
DOI: 10.15468/dl.bbqsw4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex disticha longibracteata, Carex disticha luxurians, Carex disticha minor, Carex disticha pedunculata, Carex grossheimii, Carex intermedia, Carex intermedia distachya, Carex intermedia elatior, Carex intermedia floribunda, Carex intermedia longibracteata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022582-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.25qr5y
title: Occurrence Download

description: A dataset containing 847 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CollectionKey is one of (741f12d3-ebfc-48e7-9d8c-180d41b0a582)",
 "DatasetName is one of (Herbier Louis-Marie (QFA) - Collection de plantes vasculaires)",
 {
 "or" : [
 "RecordedBy ~Garneau, Michelle",
 "RecordedBy ~Brousseau, Pierre"
 ]
 },
 "EventDate 1966-08-29-2008-07-15"
 ]
}

 The dataset includes 847 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022584-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4d3ygp9xhb.2
title: A Trend Analysis and Budyko Framework Application Study in Chingaza Natural Park, Colombia

description: The input data considered for the trend analysis and application of the Budyko framework in five basins located within or near the Chingaza Natural Park, Colombia, are presented below.
DOI: 10.15468/dl.wjw2ss
title: Occurrence Download

description: A dataset containing 832 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.36965 7.02024,-73.28902 7.02024,-73.28902 7.12641,-73.36965 7.12641,-73.36965 7.02024))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 04ce62dd-30ec-4d98-8b30-b09cafc3ac38",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 832 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022583-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16275427
title: A Shear Thickening Colloidal Suspension Functioning via Progressive Impact Jamming with Persistent Lubrication Layer_Dataset
DOI: 10.5281/zenodo.16275428
title: A Shear Thickening Colloidal Suspension Functioning via Progressive Impact Jamming with Persistent Lubrication Layer_Dataset
DOI: 10.15468/dl.pf2b2e
title: Occurrence Download

description: A dataset containing 8248 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leucadendron salignum"
 ]
}

 The dataset includes 8248 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022585-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16276044
title: Dados Finais (Ciências Biológicas 2000-2024)
DOI: 10.5281/zenodo.16276045
title: Dados Finais (Ciências Biológicas 2000-2024)
DOI: 10.6084/m9.figshare.28797659
title: Plate 6

description: This item contains a zip file with 8,640 images from plate 6 and a metadata CSV file for this specific plate.There are 4 channels/stains:<br>- <b>DAPI</b> (DNA/Nuclei)<br>- <b>GFP</b> (ER)<br>- <b>CY5</b> (Mitochondria)<br>- <b>RFP</b> (Actin)<br>There are null, wildtype (WT), and heterozygous (HET) cells that are not treated, all with the same seeding density. There are two cell line derivatives within this dataset for null, wildtype, and heterozygous.For more information on the data, please go to the GitHub repository for this project, nf1_cellpainting_data.
DOI: 10.6084/m9.figshare.28797659.v2
title: Plate 6

description: This item contains a zip file with 8,640 images from plate 6 and a metadata CSV file for this specific plate.There are 4 channels/stains:<br>- <b>DAPI</b> (DNA/Nuclei)<br>- <b>GFP</b> (ER)<br>- <b>CY5</b> (Mitochondria)<br>- <b>RFP</b> (Actin)<br>There are null, wildtype (WT), and heterozygous (HET) cells that are not treated, all with the same seeding density. There are two cell line derivatives within this dataset for null, wildtype, and heterozygous.For more information on the data, please go to the GitHub repository for this project, nf1_cellpainting_data.
DOI: 10.6084/m9.figshare.28797659.v1
title: Plate 6

description: This item contains a zip file with 8,640 images from plate 6 and a metadata CSV file for this specific plate.There are 4 channels/stains:<br>- <b>DAPI</b> (DNA/Nuclei)<br>- <b>GFP</b> (ER)<br>- <b>CY5</b> (Mitochondria)<br>- <b>RFP</b> (Actin)<br>There are null, wildtype (WT), and heterozygous (HET) cells that are not treated, all with the same seeding density. There are two cell line derivatives within this dataset for null, wildtype, and heterozygous.For more information on the data, please go to the GitHub repository for this project, nf1_cellpainting_data.
DOI: 10.17632/5g9rf2fjsd.1
title: Monkey Species Dataset

description: Overview
This dataset comprises photographs representing nine distinct monkey species. The images were sourced individually and subsequently combined, with all materials retrieved from the image.cv website. The dataset is curated specifically for availability and reference on Mendeley Data.

Composition
Number of Species: 9

Type of Data: Images

Source: images.cv website

Selection Method: Images of each species were downloaded separately to ensure accurate species representation, and then aggregated into a unified dataset.

Species Included
The dataset encompasses the following nine monkey species (example listing; fill in with your actual species names as needed):
n0 : Baboon
n1 : Capuchin
n2 : Chimpanzee
n3 : Colobus
n4 : Marmoset
n5 : Orangutan
n6 : Patas Monkey
n7 : Proboscis Monkey
n8 : Siamang

images.cv | Labeled image datasets for each, available at: https://images.cv/
DOI: 10.17632/2bp6gcsg46.2
title: Methane Adsorption Database of MOFs for Machine Learning V2.0

description: Metal-organic frameworks (MOFs) possess high surface areas and customizable properties, making them among the most promising materials for gas adsorption. The structures of MOFs vary widely due to differences in metal nodes, organic linkers, and their combinations, with hundreds of thousands of distinct structures identified to date. Efficiently screening and designing MOFs with high storage capacities for gas adsorption is a key challenge in advancing MOFs and is critical for the development of carbon capture and energy storage technologies. This database includes 261,612 MOFs that can be directly utilized for training machine learning models. All these MOF structures are derived from public databases. The dataset features 14 geometric descriptors for each MOF, along with methane adsorption capacities obtained from grand canonical Monte Carlo simulations at 5.8 bar and 65 bar, which are typical pressures for methane storage.
V2.0: The latest MOSAEC algorithm, developed by Woo et al., was employed to identify structures with impossible or unlikely metal oxidation states. These chemically invalid samples were subsequently removed from the dataset.
DOI: 10.17632/twyyg5x7sf
title: NAE inhibitor MLN4924 suppresses Coxsackievirus B3 replication by inhibiting the neddylation of viral RNA-dependent RNA polymerase 3D

description: All the data generated during the current study are included in the manuscrip, included WB data, RT-qPCR data and some data about vivo experiments
DOI: 10.17632/twyyg5x7sf.5
title: NAE inhibitor MLN4924 suppresses Coxsackievirus B3 replication by inhibiting the neddylation of viral RNA-dependent RNA polymerase 3D

description: All the data generated during the current study are included in the manuscrip, included WB data, RT-qPCR data and some data about vivo experiments
DOI: 10.17632/fhzczmj9mk
title: Uncovering Novel Biomarkers and Drug Targets for Androgenetic Alopecia via Metabolite Regulation and Multi-Tissue Validation

description: Supplementary Tables:
Table S1. The sequences of the primers used in qPCR.
Table S2. The characteristic of GAWS datasets used in our study.
Table S3. The MR analysis result of discovery cohorts Using the Wald ratio or IVW method.
Table S4. The MR analysis result of replication cohorts Using the Wald ratio or IVW method.
Table S5. The results of the heterogeneity test. 
Table S6. The results of horizontal pleiotropy test.
Table S7. The meta-analysis results of 2 cohorts.
Table S8. The quaulity control results of 41 Genes during MR, SMR and colocalization. 
Table S9. The MAGMA analysis results of 53 tissues from GTEx and AGA.
Supplementary Figures: 
Figures S1-S20. The SMR effect plot and locus plots of 10 genes after quality control. 
Figures S21-S40. The results of PheWAS analysis for 10 therapeutic targets.
DOI: 10.17632/fhzczmj9mk.2
title: Uncovering Novel Biomarkers and Drug Targets for Androgenetic Alopecia via Metabolite Regulation and Multi-Tissue Validation

description: Supplementary Tables:
Table S1. The sequences of the primers used in qPCR.
Table S2. The characteristic of GAWS datasets used in our study.
Table S3. The MR analysis result of discovery cohorts Using the Wald ratio or IVW method.
Table S4. The MR analysis result of replication cohorts Using the Wald ratio or IVW method.
Table S5. The results of the heterogeneity test. 
Table S6. The results of horizontal pleiotropy test.
Table S7. The meta-analysis results of 2 cohorts.
Table S8. The quaulity control results of 41 Genes during MR, SMR and colocalization. 
Table S9. The MAGMA analysis results of 53 tissues from GTEx and AGA.
Supplementary Figures: 
Figures S1-S20. The SMR effect plot and locus plots of 10 genes after quality control. 
Figures S21-S40. The results of PheWAS analysis for 10 therapeutic targets.
DOI: 10.15468/dl.yav5ja
title: Occurrence Download

description: A dataset containing 21730 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Triadica sebifera, Sapium pleiocarpum, Seborium chinense, Sapium sebiferum pendulum, Sapium sebiferum cordatum, Sapium sebiferum pendulum, Sapium chihsinianum, Triadica sinensis, Sapium sebiferum dabeshanense, Triadica chinensis, Sapium sebiferum dabeshanense, Croton sebiferum, Sapium sebiferum multiracemosum, Croton macrocarpus, Sapium sebiferum multiracemosum, Sapium sebiferum cordatum, Croton sebifer, Croton macrocarpus, Stillingia sinensis, Stillingfleetia sebifera, Stillingia sebifera, Excoecaria sebifera, Sapium sebiferum, Carumbium sebiferum, Stillingia sebifera, Seborium sebiferum, Sapium sebiferum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 21730 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022586-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tzzgh4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucalyptus camaldulensis",
 "Country is Jamaica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022590-250717081556266/datasets/export for details.
DOI: 10.15468/dl.zebrbf
title: Occurrence Download

description: A dataset containing 923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucalyptus camaldulensis",
 "Country is Israel",
 "HasCoordinate is true"
 ]
}

 The dataset includes 923 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022589-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vuzn9k
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucalyptus camaldulensis",
 "Country is Guyana",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022588-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c76h5rxdxc
title: High-Performance Liquid Chromatography Method Modification for the Simultaneous Analysis of Disodium Guanylate and Disodium Inosinate in Mushrooms (specifically Hericium erinaceus)

description: The data presents a modified method from existing methods for the simultaneous analysis of disodium guanylate (GMP) and disodium inosinate (IMP) in Hericium erinaceus mushrooms using high-performance liquid chromatography (HPLC).
DOI: 10.17632/c76h5rxdxc.1
title: High-Performance Liquid Chromatography Method Modification for the Simultaneous Analysis of Disodium Guanylate and Disodium Inosinate in Mushrooms (specifically Hericium erinaceus)

description: The data presents a modified method from existing methods for the simultaneous analysis of disodium guanylate (GMP) and disodium inosinate (IMP) in Hericium erinaceus mushrooms using high-performance liquid chromatography (HPLC).
DOI: 10.7294/29263292
title: DLR Earth Sensing Imaging Spectrometer (DESIS) Data from Andhra Pradesh, India

description: The objective of this study is to predict future tropical forest cover presence and types using multitemporal imaging spectroscopy data. Accurately predicting land cover changes with image time series is vital for assessing the effects of climate change and land management on forest resources. Data were obtained from the DLR Earth Sensing Imaging Spectrometer (DESIS) covering a region in the West Godavari district of Andhra Pradesh, India. DESIS, mounted on the International Space Station, records Earth observation data in 235 channels over a 400-1000 nm spectral range. Five overlapping cloud-free images were selected, capturing the seasonal variability among land covers to form the multitemporal image stack. 1,070 randomly generated training points spanning the five dates were visually classified into four land cover classes: forest plantation, palm plantation, natural forest, and non-forest. Future land cover was predicted using the following steps: (1) A recurrent neural network with long short-term memory (LSTM) was used to predict future reflectance values of the 235 bands for each point. This model had an R^2 coefficient of 83.0%. (2) A multi-layer neural network using Keras was trained on the classified points from each image with 5-fold cross-validation, achieving an accuracy of 73.0%. (3) The classification model from step 2 was then applied to the reflectance data generated from the LSTM (step 1) to predict the future land type at each point. The combined land cover prediction framework, titled Forestry and Other Land Use Neural Network (FOLU-Net), enables predictions of land use change without the need for potentially error-prone land use classifications at each prior time step necessitated by approaches such as Markov chain analysis. Our findings demonstrate a robust framework for characterizing the evolution of land cover using multitemporal imaging spectroscopy.<br>This study is presented in a manuscript published through <i>Ecological Informatics</i>.
DOI: 10.7294/29263292.v1
title: DLR Earth Sensing Imaging Spectrometer (DESIS) Data from Andhra Pradesh, India

description: The objective of this study is to predict future tropical forest cover presence and types using multitemporal imaging spectroscopy data. Accurately predicting land cover changes with image time series is vital for assessing the effects of climate change and land management on forest resources. Data were obtained from the DLR Earth Sensing Imaging Spectrometer (DESIS) covering a region in the West Godavari district of Andhra Pradesh, India. DESIS, mounted on the International Space Station, records Earth observation data in 235 channels over a 400-1000 nm spectral range. Five overlapping cloud-free images were selected, capturing the seasonal variability among land covers to form the multitemporal image stack. 1,070 randomly generated training points spanning the five dates were visually classified into four land cover classes: forest plantation, palm plantation, natural forest, and non-forest. Future land cover was predicted using the following steps: (1) A recurrent neural network with long short-term memory (LSTM) was used to predict future reflectance values of the 235 bands for each point. This model had an R^2 coefficient of 83.0%. (2) A multi-layer neural network using Keras was trained on the classified points from each image with 5-fold cross-validation, achieving an accuracy of 73.0%. (3) The classification model from step 2 was then applied to the reflectance data generated from the LSTM (step 1) to predict the future land type at each point. The combined land cover prediction framework, titled Forestry and Other Land Use Neural Network (FOLU-Net), enables predictions of land use change without the need for potentially error-prone land use classifications at each prior time step necessitated by approaches such as Markov chain analysis. Our findings demonstrate a robust framework for characterizing the evolution of land cover using multitemporal imaging spectroscopy.<br>This study is presented in a manuscript under review at <i>Ecological Informatics</i>.