cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8m6v6nfhm4.1
title: PARIDAD DE TASAS DE INTERÉS Y DINÁMICA CAMBIARIA EN COLOMBIA: DATASET Y ANÁLISIS ECONÓMICO

description: Este dataset acompaña un estudio aplicado sobre la hipótesis de Paridad de Tasas de Interés (PTI) en economías emergentes, con un enfoque especial en el caso de Colombia. La paridad de tasas de interés es uno de los fundamentos teóricos de la economía internacional, ya que establece la conexión entre los tipos de interés nacionales e internacionales y las expectativas sobre el tipo de cambio.
 Por lo tanto, su análisis es crucial para entender la dinámica de los flujos de capital, la efectividad de la política monetaria y los mecanismos de transmisión en contextos de apertura financiera. La información en este dataset abarca el periodo de 2000 a 2014 y recopila series históricas de tasas de interés nacionales, internacionales y del tipo de cambio nominal. Los datos provienen de fuentes oficiales, como el Banco de la República de Colombia, organismos internacionales y bases de datos financieras, lo que asegura su confiabilidad y validez. Además de la recopilación, se realizó un proceso de depuración y organización para facilitar su replicación y uso posterior en análisis empíricos.
La estructura del dataset no solo abarca las series de tiempo utilizadas, sino que también incluye una descripción detallada de los procedimientos para seleccionar variables, el enfoque metodológico y la aplicación de modelos econométricos, especialmente regresiones lineales y modelos de vectores autorregresivos (VAR). Estas herramientas son fundamentales para evaluar de manera rigurosa si la hipótesis de paridad se cumple en Colombia, lo que a su vez permite identificar patrones de comportamiento en torno a las tasas de interés y el mercado cambiario. 
Este recurso está diseñado para ser útil tanto para investigadores como para docentes y estudiantes que tengan interés en la macroeconomía internacional y las finanzas de mercados emergentes. Su verdadero valor radica en que no solo documenta y organiza las series estadísticas, sino que también las presenta en un formato accesible. Esto facilita la verificación de resultados, la realización de ejercicios de simulación y la posibilidad de extender el análisis a nuevos periodos o comparaciones internacionales. Así, el dataset se convierte en un punto de partida valioso para futuros estudios que busquen examinar la relevancia de la PTI en otros contextos emergentes y evaluar sus implicaciones en términos de estabilidad macroeconómica y diseño de políticas públicas.
DOI: 10.17632/xscxtshgfx
title: Datasets and scripts for "Attractor dynamics of a whole-cortex network model predicts emergence and structure of fMRI co-activation patterns in the mouse brain"

description: We provide datasets and scripts for reproducing the results of "Attractor dynamics of a whole-cortex network model predicts emergence and structure of fMRI co-activation patterns in the mouse brain". The datasets include the 34 x 34 anatomical connectivity of the mouse brain between excitatory populations, the empirical fMRI time series of 15 mice, and their organization into 6 co-activation patterns (CAPs). The Python script “Empirical_VS_Model.py” implements 3 whole-cortex models with their corresponding best-fit parameters (our full model with directed connectivity and non-linear neural dynamics, an undirected model with non-linear dynamics but undirected anatomical connections, and a linear model with directed anatomical connections but linear activation function). The script uses those models to calculate network statistics averaged over long-time scales (e.g. the functional connectivity matrix), and it finally compares them to the corresponding empirical statistics of the real mouse brain. The script also plots the figures showing the balance between the excitatory and inhibitory currents in our full model. To conclude, the Python script “Attractors_and_CAPs.py” implements our full best-fit model with directed connectivity and non-linear neural dynamics, and it uses the model to calculate the topography and probability of occupancy of its activation state attractors. The script also contains our mapping algorithm, which reconstructs the probability of occupancy of the attractors from the empirical data and compares it with the model distribution. Then the script uses linear combinations of the model attractors to reconstruct the topography of CAPs, and it finally compares the model topography to the empirical one obtained from the real mouse brain.
DOI: 10.17632/xscxtshgfx.2
title: Datasets and scripts for "Attractor dynamics of a whole-cortex network model predicts emergence and structure of fMRI co-activation patterns in the mouse brain"

description: We provide datasets and scripts for reproducing the results of "Attractor dynamics of a whole-cortex network model predicts emergence and structure of fMRI co-activation patterns in the mouse brain". The datasets include the 34 x 34 anatomical connectivity of the mouse brain between excitatory populations, the empirical fMRI time series of 15 mice, and their organization into 6 co-activation patterns (CAPs). The Python script “Empirical_VS_Model.py” implements 3 whole-cortex models with their corresponding best-fit parameters (our full model with directed connectivity and non-linear neural dynamics, an undirected model with non-linear dynamics but undirected anatomical connections, and a linear model with directed anatomical connections but linear activation function). The script uses those models to calculate network statistics averaged over long-time scales (e.g. the functional connectivity matrix), and it finally compares them to the corresponding empirical statistics of the real mouse brain. The script also plots the figures showing the balance between the excitatory and inhibitory currents in our full model. To conclude, the Python script “Attractors_and_CAPs.py” implements our full best-fit model with directed connectivity and non-linear neural dynamics, and it uses the model to calculate the topography and probability of occupancy of its activation state attractors. The script also contains our mapping algorithm, which reconstructs the probability of occupancy of the attractors from the empirical data and compares it with the model distribution. Then the script uses linear combinations of the model attractors to reconstruct the topography of CAPs, and it finally compares the model topography to the empirical one obtained from the real mouse brain.
DOI: 10.15468/dl.326tzu
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zosterops melanurus",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 51 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029700-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gphbs7vsbz
title: A Context-Aware Bengali Toxic Comments Dataset

description: This dataset provides a context-aware collection of Bengali toxic and non-toxic comments curated from the official Facebook pages of two leading Bangladeshi news portals, Prothom Alo and News24, during the period April–June 2025. All data were obtained from publicly available sources, ensuring that no private or personally identifiable information was collected or retained. In total, 1,004 comments were collected, covering diverse domains such as politics, sports, entertainment, and social issues. 

Unlike conventional toxic comment datasets, this dataset consists of several key attributes, including the news title, which represents the headline of the source article; metadata, which contains the detailed text of the corresponding news article; the target comment, which is the primary comment being analyzed; the predecessor comment, referring to the immediate parent comment where available; and the successor comment, which is the next comment in the thread. Additionally, the dataset retains the user name, representing the display name of the commenter, and a label assigned through majority voting to categorize each entry as either toxic or non-toxic.

Regarding class distribution, the dataset contains 507 toxic and 497 non-toxic samples, resulting in a nearly balanced composition. Toxic comments are defined as those containing hate speech, offensive or abusive language, sarcasm, personal attacks, or threats. For example, one toxic comment states: “শালা জানোয়ার টারে একদম ঠিকমতো বাটাম দেওয়া হোক,” which translates to “That bastard should be properly beaten.” Non-toxic comments, by contrast, are neutral, informative, constructive, or polite in nature, without harmful expressions. For instance, one non-toxic comment states: “চরিত্র খারাপ মনে হয় না, তবে বদমেজাজি মনে হয়, রাগ কন্ট্রোল করতে পারে না,” translated as “Doesn't seem to have a bad character, but appears short-tempered and cannot control anger.”
DOI: 10.15468/dl.emf3uk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Halophiloscia canariensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029699-250920141307145/datasets/export for details.
DOI: 10.17632/gphbs7vsbz.3
title: A Context-Aware Bengali Toxic Comments Dataset

description: This dataset provides a context-aware collection of Bengali toxic and non-toxic comments curated from the official Facebook pages of two leading Bangladeshi news portals, Prothom Alo and News24, during the period April–June 2025. All data were obtained from publicly available sources, ensuring that no private or personally identifiable information was collected or retained. In total, 1,004 comments were collected, covering diverse domains such as politics, sports, entertainment, and social issues. 

Unlike conventional toxic comment datasets, this dataset consists of several key attributes, including the news title, which represents the headline of the source article; metadata, which contains the detailed text of the corresponding news article; the target comment, which is the primary comment being analyzed; the predecessor comment, referring to the immediate parent comment where available; and the successor comment, which is the next comment in the thread. Additionally, the dataset retains the user name, representing the display name of the commenter, and a label assigned through majority voting to categorize each entry as either toxic or non-toxic.

Regarding class distribution, the dataset contains 507 toxic and 497 non-toxic samples, resulting in a nearly balanced composition. Toxic comments are defined as those containing hate speech, offensive or abusive language, sarcasm, personal attacks, or threats. For example, one toxic comment states: “শালা জানোয়ার টারে একদম ঠিকমতো বাটাম দেওয়া হোক,” which translates to “That bastard should be properly beaten.” Non-toxic comments, by contrast, are neutral, informative, constructive, or polite in nature, without harmful expressions. For instance, one non-toxic comment states: “চরিত্র খারাপ মনে হয় না, তবে বদমেজাজি মনে হয়, রাগ কন্ট্রোল করতে পারে না,” translated as “Doesn't seem to have a bad character, but appears short-tempered and cannot control anger.”
DOI: 10.17632/zwd9sp9h9f
title: Advanced Laboratory on Information Security Management

description: The environment will be deployed in GNS3 or Cisco Packet Tracer and includes a Domain Controller, a File Server, a RADIUS server for AAA, and Cisco networking devices configured with VLAN segmentation. Students will implement strong password policies, time-based access control, auditing, Port-Security, and DHCP Snooping. Through this practice, students will gain an understanding of how these mechanisms protect networks against unauthorized access and mitigate common internal threats.
DOI: 10.17632/zwd9sp9h9f.1
title: Advanced Laboratory on Information Security Management

description: The environment will be deployed in GNS3 or Cisco Packet Tracer and includes a Domain Controller, a File Server, a RADIUS server for AAA, and Cisco networking devices configured with VLAN segmentation. Students will implement strong password policies, time-based access control, auditing, Port-Security, and DHCP Snooping. Through this practice, students will gain an understanding of how these mechanisms protect networks against unauthorized access and mitigate common internal threats.
DOI: 10.17632/rnh3x48nfb.1
title: BD Sports-10 Dataset (224×224 Pixels, Resized Version)

description: The BD Sports-10 Dataset is a comprehensive collection of 3,000 high-resolution videos (originally 1920×1080 pixels at 30 frames per second, Link: https://doi.org/10.57760/sciencedb.24216 ) showcasing ten culturally and traditionally significant Bangladeshi sports.

For public research purposes, the dataset has been resized to 224×224 pixels at 30 frames per second, making it more suitable for machine learning and Deep Learning applications. This dataset is designed to support research in action recognition, cultural heritage preservation, sports video classification, and other machine learning tasks.

The BD_Sports_10 folder contains a Dataset directory, which includes 10 subfolders, each corresponding to a sports class. Each sports category comprises 300 videos, ensuring a balanced distribution for supervised learning. The dataset includes the following Bangladeshi sports:

1) Hari Vanga
2) Joldanga
3) Kanamachi
4) Lathim
5) Morog Lorai
6) Toilakto Kolagach Arohon (Kolagach)
7) Nouka Baich
8) Kabaddi
9) Kho Kho
10) Lathi Khela
DOI: 10.15468/dl.fkrpbe
title: Occurrence Download

description: A dataset containing 1402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corydalis solida",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1402 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029702-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/f942zn23b2
title: Plastic pollution impacts on tourism in Galapagos

description: The dataset is available in both SPSS (.sav) and CSV formats and comprises 445 observations collected through surveys administered to tourists. The objective of the survey was to assess the relationship between the presence of plastic waste on Galapagos beaches and its economic impact on tourism. Variable definitions and SPSS syntax used for analysis are included in the accompanying codes file. Additionally, the XGBoost folder contains the dataset in CSV format along with R scripts used to implement the XGBoost algorithm.
DOI: 10.17632/f942zn23b2.2
title: Plastic pollution impacts on tourism in Galapagos

description: The dataset is available in both SPSS (.sav) and CSV formats and comprises 445 observations collected through surveys administered to tourists. The objective of the survey was to assess the relationship between the presence of plastic waste on Galapagos beaches and its economic impact on tourism. Variable definitions and SPSS syntax used for analysis are included in the accompanying codes file. Additionally, the XGBoost folder contains the dataset in CSV format along with R scripts used to implement the XGBoost algorithm.
DOI: 10.17632/mrcm27d2hp
title: Ovine transcriptomics rawdata of granulosa cells-1
DOI: 10.17632/mrcm27d2hp.1
title: Ovine transcriptomics rawdata of granulosa cells-1
DOI: 10.17632/56b5mbgbp4.1
title: The Impact of Environmental Responsibility Locus Attribution on the Selection of Green Advertising Appeal Types: A Study Based on Chinese Samples（data）

description: This dataset was used to examine a chain mediation model and the moderating role of the Environmental Responsibility Locus Attribution. The data were collected online via an experiment and questionnaire between June and August 2025. The dataset consists of one Excel file containing four worksheets: the first two worksheets contain data from two pilot studies, and the last two contain data from the formal experiment.
DOI: 10.15468/dl.um7zs8
title: Occurrence Download

description: A dataset containing 326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corydalis solida",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 326 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029701-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rs844jcbcg
title: MC859 - Redes para análise

description: Este repositório reúne redes de interação de jogos da Steam usadas para análise em projeto da disciplina MC859.
DOI: 10.17632/rs844jcbcg.1
title: MC859 - Redes para análise

description: Este repositório reúne redes de interação de jogos da Steam usadas para análise em projeto da disciplina MC859.
DOI: 10.17632/mfmjkm2zxk.1
title: Open Banking and Digital Financial Inclusion: Early Evidence

description: Replication files for Open Banking and Digital Financial Inclusion: Early Evidence
DOI: 10.17632/6ngwx3ckmv
title: Ovine transcriptomics rawdata of granulosa cells-2
DOI: 10.15468/dl.ksqrjd
title: Occurrence Download

description: A dataset containing 3774 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corydalis solida",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3774 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029703-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6ngwx3ckmv.1
title: Ovine transcriptomics rawdata of granulosa cells-2
DOI: 10.17632/mtkdj49d85
title: Ovine transcriptomics rawdata of granulosa cells-3
DOI: 10.17632/mtkdj49d85.1
title: Ovine transcriptomics rawdata of granulosa cells-3
DOI: 10.15468/dl.645sqc
title: Occurrence Download

description: A dataset containing 953729 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pluvialis apricaria)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 953729 records from 1233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029632-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5ek6j
title: Occurrence Download

description: A dataset containing 1424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "DatasetKey is one of (University of Michigan Museum of Zoology, Division of Birds, EOD – eBird Observation Dataset)",
 "OccurrenceStatus is Present",
 "TaxonKey is Turdus feae (Salvadori, 1887)"
 ]
}

 The dataset includes 1424 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163506-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1h4biz
title: Occurrence Download

description: A dataset containing 4571 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Calidris alba (Pallas, 1764)"
 ]
}

 The dataset includes 4571 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004748-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwwvwr
title: Occurrence Download

description: A dataset listing the 183 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-122.99001 49.30602,-122.97212 49.30602,-122.97212 49.31385,-122.99001 49.31385,-122.99001 49.30602))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 183 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163474-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dggwhm
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cinclus mexicanus",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 213 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004749-150316153013904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.227ysf
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Polygala bonariensis Grondona"
 ]
}

 The dataset includes 16 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163512-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tc8xlk
title: Occurrence Download

description: A dataset containing 291402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arachnida",
 "DatasetKey is ARABEL - Arachnologia Belgica"
 ]
}

 The dataset includes 291402 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004749-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.egs89k
title: Occurrence Download

description: A dataset containing 518549 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Branta canadensis (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2005",
 "Year is less than or equal to 2014",
 "Month is April",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 518549 records from 175 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028989-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3tnkla
title: Occurrence Download

description: A dataset containing 49269 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus coccifera L."
 ]
}

 The dataset includes 49269 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004749-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.