cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4326nq
title: Occurrence Download

description: A dataset containing 1363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bombus flavidus)",
 "Year is less than or equal to 1975"
 ]
}

 The dataset includes 1363 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012298-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sykuup
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Aves [GBIF Backbone Taxonomy])",
 "StateProvince is one of (sucre)"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012301-250711103210423/datasets/export for details.
DOI: 10.15468/dl.rnkqsu
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012302-250711103210423/datasets/export for details.
DOI: 10.15468/dl.6sxget
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eichhornia crassipes",
 "Country is Malaysia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012305-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jqd6e
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eichhornia crassipes",
 "Country is Malawi",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012303-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5sjfh
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012304-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v5uzrm
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Emberiza rustica",
 "Year 1970-2020"
 ]
}

 The dataset includes 25 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012307-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3r3fpt
title: Occurrence Download

description: A dataset containing 362 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erysimum smyrnaeum"
 ]
}

 The dataset includes 362 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012306-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ubvpwc
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polygonum persicaria",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012308-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.czmt49
title: Occurrence Download

description: A dataset containing 73430387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 73430387 records from 4424 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012263-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vv24w6
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "Geometry POLYGON((124.0496 5.64848,126.49513 4.74029,127.9505 7.73641,126.88055 11.30168,123.29963 19.3747,119.45411 19.42765,116.49617 6.85292,124.0496 5.64848))",
 "OccurrenceStatus is Present",
 "TaxonKey is Rafflesia R.Br."
 ]
}

 The dataset includes 48 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017160-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15320866
title: MedRel_Spanish
title: RelacionesMédicas_Español

description: ------------ MedRel DataSet Spanish ----------------

 

Este conjunto de datos incluye un archivo CSV con frases del dominio médico en español, anotadas con tres tipos de entidades:

 

ANAT: Partes del cuerpo

 

ENFE: Enfermedades

 

MEDI: Medicamentos

 

Cada frase contiene dos entidades médicas enmascaradas y una etiqueta binaria que indica la existencia de una relación médica y contextual entre ellas:

 

1: Existe relación médica y contextual

 

0: No existe relación

 

Este dataset puede ser utilizado como recurso auxiliar para el entrenamiento y evaluación de modelos de clasificación de relaciones médicas en textos clínicos en español.

 

####Creador de datos####

 

Las entidades fueron identificadas mediante un sistema automático de reconocimiento de entidades médicas desarrollado en un trabajo en proceso de publicación.

 

 

Las frases se extrajeron de un total de 165 resúmenes (abstracts) de publicaciones científicas médicas:

 

Tsatsaronis, G., Balikas, G., Malakasiotis, P., Partalas, I., Zschunke, M., Alvers, M. R., Weissenborn, D., Krithara, A., Petridis, S., Polychronopoulos, D., Almirantis, Y., Pavlopoulos, J., Baskiotis, N., Gallinari, P., Artieres, T., Ngonga, A., Heino, N., Gaussier, E., Barrio-Alvers, L., Schroeder, M., Androutsopoulos, I., & Paliouras, G. (2015). An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition. BMC Bioinformatics, 16, 138. https://doi.org/10.1186/s12859-015-0564-6

 

 

####Etiquetado de datos ####

 

El etiquetado de relaciones fue realizado manualmente por tres expertos en el dominio médico:

 

*Médico 1

 

Dr. Alexis Eduardo Jiménez Rodríguez

Encargado de la sección de servicio médico

Universidad Autónoma Metropolitana, Unidad Azcapotzalco

 

 

*Médico 2

 

Dr. Carlos Virrueta Sánchez

Encargado de la sección de servicio médico

Universidad Autónoma del Estado de México, CU Texcoco

 

*Médico 3

 

Dr. José Luis Rodriguez Cruz

Subdirector médico

Sanatorio de nuestra señora del carmen

 

Cada experto evaluó si las entidades en cada frase mantenían una relación médica y contextual, asignando la etiqueta correspondiente.

Como resultado del proceso de etiquetado, los expertos identificaron 1,106 frases que sí contenían una relación y 806 frases que no la contenían.

 

 

#### Notas de uso #####

 

Este conjunto de datos está diseñado para entrenar y validar modelos de aprendizaje automático o aprendizaje profundo en tareas de clasificación de relaciones entre entidades médicas. Es especialmente útil en aplicaciones de procesamiento de lenguaje natural (PLN) en el ámbito clínico en idioma español.
DOI: 10.5281/zenodo.15320867
title: MedRel_Spanish
title: RelacionesMédicas_Español

description: ------------ MedRel DataSet Spanish ----------------

 

Este conjunto de datos incluye un archivo CSV con frases del dominio médico en español, anotadas con tres tipos de entidades:

 

ANAT: Partes del cuerpo

 

ENFE: Enfermedades

 

MEDI: Medicamentos

 

Cada frase contiene dos entidades médicas enmascaradas y una etiqueta binaria que indica la existencia de una relación médica y contextual entre ellas:

 

1: Existe relación médica y contextual

 

0: No existe relación

 

Este dataset puede ser utilizado como recurso auxiliar para el entrenamiento y evaluación de modelos de clasificación de relaciones médicas en textos clínicos en español.

 

####Creador de datos####

 

Las entidades fueron identificadas mediante un sistema automático de reconocimiento de entidades médicas desarrollado en un trabajo en proceso de publicación.

 

 

Las frases se extrajeron de un total de 165 resúmenes (abstracts) de publicaciones científicas médicas:

 

Tsatsaronis, G., Balikas, G., Malakasiotis, P., Partalas, I., Zschunke, M., Alvers, M. R., Weissenborn, D., Krithara, A., Petridis, S., Polychronopoulos, D., Almirantis, Y., Pavlopoulos, J., Baskiotis, N., Gallinari, P., Artieres, T., Ngonga, A., Heino, N., Gaussier, E., Barrio-Alvers, L., Schroeder, M., Androutsopoulos, I., & Paliouras, G. (2015). An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition. BMC Bioinformatics, 16, 138. https://doi.org/10.1186/s12859-015-0564-6

 

 

####Etiquetado de datos ####

 

El etiquetado de relaciones fue realizado manualmente por tres expertos en el dominio médico:

 

*Médico 1

 

Dr. Alexis Eduardo Jiménez Rodríguez

Encargado de la sección de servicio médico

Universidad Autónoma Metropolitana, Unidad Azcapotzalco

 

 

*Médico 2

 

Dr. Carlos Virrueta Sánchez

Encargado de la sección de servicio médico

Universidad Autónoma del Estado de México, CU Texcoco

 

*Médico 3

 

Dr. José Luis Rodriguez Cruz

Subdirector médico

Sanatorio de nuestra señora del carmen

 

Cada experto evaluó si las entidades en cada frase mantenían una relación médica y contextual, asignando la etiqueta correspondiente.

Como resultado del proceso de etiquetado, los expertos identificaron 1,106 frases que sí contenían una relación y 806 frases que no la contenían.

 

 

#### Notas de uso #####

 

Este conjunto de datos está diseñado para entrenar y validar modelos de aprendizaje automático o aprendizaje profundo en tareas de clasificación de relaciones entre entidades médicas. Es especialmente útil en aplicaciones de procesamiento de lenguaje natural (PLN) en el ámbito clínico en idioma español.
DOI: 10.15468/dl.a73y86
title: Occurrence Download

description: A dataset containing 188 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Achillea micrantha M.Bieb., 1808"
 ]
}

 The dataset includes 188 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017161-250515123054153/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.29144716
title: Additional file 1 of The two ends of the spectrum: comparing chronic schizophrenia and premorbid latent schizotypy by actigraphy

description: Supplementary Material 1. The article has several additional parts sourced in the Supplementary Material. There is provided further information about data collection and processing, machine learning algorithms, and other program codes, and more details about the findings
DOI: 10.6084/m9.figshare.29144716.v1
title: Additional file 1 of The two ends of the spectrum: comparing chronic schizophrenia and premorbid latent schizotypy by actigraphy

description: Supplementary Material 1. The article has several additional parts sourced in the Supplementary Material. There is provided further information about data collection and processing, machine learning algorithms, and other program codes, and more details about the findings
DOI: 10.6084/m9.figshare.29144718.v1
title: Additional file 1 of Identification and validation of USP15 and CUL2 as ubiquitination related biomarker in chronic obstructive pulmonary disease

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.29144718
title: Additional file 1 of Identification and validation of USP15 and CUL2 as ubiquitination related biomarker in chronic obstructive pulmonary disease

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.29144721
title: Additional file 2 of Identification and validation of USP15 and CUL2 as ubiquitination related biomarker in chronic obstructive pulmonary disease

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.29144721.v1
title: Additional file 2 of Identification and validation of USP15 and CUL2 as ubiquitination related biomarker in chronic obstructive pulmonary disease

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.29144737
title: Additional file 1 of An automation framework for clinical codelist development validated with UK data from patients with multiple long-term conditions

description: Supplementary Material 1.
DOI: 10.21227/n07q-be46
title: "Theoretical study and analysis of advanced wireless sensor network techniques in Internet of Things (IoT)"

description: "Wireless sensor networks those based on the Internet of Things (IoT) have evolved fast in numerous areas in recent years. Devices and sensors may interact with each other without human involvement in the IoT network. An IoT-based system where people and things are connected by wired and wireless technology including Wireless Sensor Networks (WSNs), ZigBee, NFC, RFID, GPRS, LTE, and Bluetooth is now one of the most popular technical ideas. The potential of the Internet of Things (IoT) has received enormous attention from the corporate and scientific communities during the past 10 years. The IoT can provide a number of significant benefits to application spaces. Researchers may be able to show crucial facts about IoT-based smart environmental monitoring systems. IoT has faced a variety of challenges, including authentication, differentiating evidence, accessibility and security and protection. Sociotechnical trust systems have also been examined in the past in various studies (STTS). Existing smart settings are now dealing with serious IoT security, protection, and STTS challenges. Trust-the-board will be highlighted and characterized, as well as how it should be utilized in the Internet of Things. As a result, the potential benefits of data aggregation solutions that use less energy while increasing the organization\u2019s lifespan are enormous. IoT-WSN data aggregation methods and computations have been reimagined. Specifically, this article examines the writing with reference to the views of sensor systems administrators in order to preserve energy and gather data."
DOI: 10.15468/dl.thw5ye
title: Occurrence Download

description: A dataset containing 814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Acer truncatum Bunge"
 ]
}

 The dataset includes 814 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017165-250515123054153/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.29144764
title: Additional file 1 of Characterization of aquatic clade 2 and 3 Campylobacter coli isolates from Slovenia reveals admixture with other Campylobacter species

description: Supplementary Material 1: 31_plotHyb.R R script for analyzing introgression through k-mer analysis.
DOI: 10.6084/m9.figshare.29144764.v1
title: Additional file 1 of Characterization of aquatic clade 2 and 3 Campylobacter coli isolates from Slovenia reveals admixture with other Campylobacter species

description: Supplementary Material 1: 31_plotHyb.R R script for analyzing introgression through k-mer analysis.
DOI: 10.6084/m9.figshare.29144767
title: Additional file 2 of Characterization of aquatic clade 2 and 3 Campylobacter coli isolates from Slovenia reveals admixture with other Campylobacter species

description: Supplementary Material 2: Clade analysis.r R script for conducting statistical analysis using a linear mixed-effects model.
DOI: 10.6084/m9.figshare.29144767.v1
title: Additional file 2 of Characterization of aquatic clade 2 and 3 Campylobacter coli isolates from Slovenia reveals admixture with other Campylobacter species

description: Supplementary Material 2: Clade analysis.r R script for conducting statistical analysis using a linear mixed-effects model.
DOI: 10.6084/m9.figshare.29144787
title: Additional file 1 of Sublethal insecticide exposure of larvae affects the blood-feeding behaviour of adult mosquitoes

description: Supplementary material 1.
DOI: 10.6084/m9.figshare.29144787.v1
title: Additional file 1 of Sublethal insecticide exposure of larvae affects the blood-feeding behaviour of adult mosquitoes

description: Supplementary material 1.
DOI: 10.6084/m9.figshare.29144790
title: Additional file 2 of Sublethal insecticide exposure of larvae affects the blood-feeding behaviour of adult mosquitoes

description: Supplementary material 2.
DOI: 10.6084/m9.figshare.29144790.v1
title: Additional file 2 of Sublethal insecticide exposure of larvae affects the blood-feeding behaviour of adult mosquitoes

description: Supplementary material 2.
DOI: 10.6084/m9.figshare.29144793
title: Additional file 3 of Sublethal insecticide exposure of larvae affects the blood-feeding behaviour of adult mosquitoes

description: Supplementary material 3.
DOI: 10.6084/m9.figshare.29144793.v1
title: Additional file 3 of Sublethal insecticide exposure of larvae affects the blood-feeding behaviour of adult mosquitoes

description: Supplementary material 3.
DOI: 10.6084/m9.figshare.29144799
title: Additional file 5 of Sublethal insecticide exposure of larvae affects the blood-feeding behaviour of adult mosquitoes

description: Supplementary material 5.
DOI: 10.6084/m9.figshare.29144799.v1
title: Additional file 5 of Sublethal insecticide exposure of larvae affects the blood-feeding behaviour of adult mosquitoes

description: Supplementary material 5.
DOI: 10.6084/m9.figshare.29144802
title: Additional file 6 of Sublethal insecticide exposure of larvae affects the blood-feeding behaviour of adult mosquitoes

description: Supplementary material 6.
DOI: 10.6084/m9.figshare.29144802.v1
title: Additional file 6 of Sublethal insecticide exposure of larvae affects the blood-feeding behaviour of adult mosquitoes

description: Supplementary material 6.
DOI: 10.6084/m9.figshare.29144817
title: Additional file 4 of Developing a disease-specific accessible transcriptional signature as a biomarker for ataxia with oculomotor apraxia type 2

description: Supplementary Material 4: Supplemental Table S1. Detailed Characteristics of the 20 families included in this study. Supplemental Table S2. Blood RNA-seq Module Membership. Supplemental Table S3. Module R05 Gene Ontology. Supplemental Table S4. Module R10 Gene Ontology. Supplemental Table S5. Module R20 Gene Ontology. Supplemental Table S6. Module R22 Gene Ontology. Supplemental Table S7. Module R23 Gene Ontology. Supplemental Table S8. AOA2 Transcriptional Biomarker Validation. Supplemental Table S9. Differentially Expressed Genes and Gene Ontology.
DOI: 10.6084/m9.figshare.29144817.v1
title: Additional file 4 of Developing a disease-specific accessible transcriptional signature as a biomarker for ataxia with oculomotor apraxia type 2

description: Supplementary Material 4: Supplemental Table S1. Detailed Characteristics of the 20 families included in this study. Supplemental Table S2. Blood RNA-seq Module Membership. Supplemental Table S3. Module R05 Gene Ontology. Supplemental Table S4. Module R10 Gene Ontology. Supplemental Table S5. Module R20 Gene Ontology. Supplemental Table S6. Module R22 Gene Ontology. Supplemental Table S7. Module R23 Gene Ontology. Supplemental Table S8. AOA2 Transcriptional Biomarker Validation. Supplemental Table S9. Differentially Expressed Genes and Gene Ontology.
DOI: 10.7266/n7-jdgx-js58
title: Compound-specific stable isotope analyses of fatty acids of salt marsh species from 2015-05-01 to 2017-06-30
DOI: 10.6084/m9.figshare.29144839
title: Additional file 5 of Host associations and genetic diversity of bat flies (Diptera: Nycteribiidae and Streblidae) in bats from Thailand

description: Additional file 5. Table S5. Results of BLASTN analysis
DOI: 10.6084/m9.figshare.29144839.v1
title: Additional file 5 of Host associations and genetic diversity of bat flies (Diptera: Nycteribiidae and Streblidae) in bats from Thailand

description: Additional file 5. Table S5. Results of BLASTN analysis
DOI: 10.6084/m9.figshare.29144842
title: Additional file 6 of Host associations and genetic diversity of bat flies (Diptera: Nycteribiidae and Streblidae) in bats from Thailand

description: Additional file 6. Table S6. GenBank accession numbers for sequences deposited from this study.
DOI: 10.6084/m9.figshare.29144842.v1
title: Additional file 6 of Host associations and genetic diversity of bat flies (Diptera: Nycteribiidae and Streblidae) in bats from Thailand

description: Additional file 6. Table S6. GenBank accession numbers for sequences deposited from this study.
DOI: 10.6084/m9.figshare.29144881
title: Additional file 2 of BHLHE40-mediated RGS16 upregulation: a driver propelling gastric cancer progression via ferroptosis suppression

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.29144881.v1
title: Additional file 2 of BHLHE40-mediated RGS16 upregulation: a driver propelling gastric cancer progression via ferroptosis suppression

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.29144890
title: Additional file 2 of Single cell analysis identified IFN signaling activation contributes to the pathogenesis of pediatric steroid-sensitive nephrotic syndrome

description: Supplementary Material 2. Supplementary Table 1. Inclusion and exclusion criteria of nephrotic syndrome patients. Supplementary Table 2. Detailed information of patients and healthy controls. Supplementary Table 3. Genes highly expressed in each cluster (T cells, B cells, NK cells, monocytes, cDC, pDC, and mast cells) in the STS Pre group. Supplementary Table 4. Genes lowly expressed in each cluster (T cells, B cells, NK cells, monocytes, cDC, pDC, and mast cells) in the STS Pre group. Supplementary Table 5. Enrichment of MSigDB Hallmark gene sets within each major cluster (T cells, B cells, NK cells, monocytes, cDC, pDC, and mast cells) across groups. Supplementary Table 6. Enrichment of MSigDB Hallmark gene sets within each subcluster of T cells, B cells, NK cells, and monocytes across groups. Supplementary Table 7. Interferon-stimulated genes. Supplementary Table 8. RSS scores across groups within each subcluster of T, B, NK, and myeloid cells.