cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/uschist-ouc1sto1847409
title: USC: The Daily Trojan, 1912-

description: The student newspaper, known as the Daily Trojan (since 1925) is usually published Monday through Friday during the regular school term (typically September through May). During the summer, the Summer Trojan (so named initially in 1950), is usually published once per week.
DOI: 10.25549/uschist-ouc1sto1847411
title: USC: The Daily Trojan, 1912-

description: The student newspaper, known as the Daily Trojan (since 1925) is usually published Monday through Friday during the regular school term (typically September through May). During the summer, the Summer Trojan (so named initially in 1950), is usually published once per week.
DOI: 10.25549/uschist-ouc1sto1847443
title: USC: The Daily Trojan, 1912-

description: The student newspaper, known as the Daily Trojan (since 1925) is usually published Monday through Friday during the regular school term (typically September through May). During the summer, the Summer Trojan (so named initially in 1950), is usually published once per week.
DOI: 10.25549/uschist-ouc1sto1847381
title: USC: The Daily Trojan, 1912-

description: The student newspaper, known as the Daily Trojan (since 1925) is usually published Monday through Friday during the regular school term (typically September through May). During the summer, the Summer Trojan (so named initially in 1950), is usually published once per week.
DOI: 10.25549/uschist-ouc1sto1847393
title: USC: The Daily Trojan, 1912-

description: The student newspaper, known as the Daily Trojan (since 1925) is usually published Monday through Friday during the regular school term (typically September through May). During the summer, the Summer Trojan (so named initially in 1950), is usually published once per week.
DOI: 10.25549/uschist-ouc1sto1847417
title: USC: The Daily Trojan, 1912-

description: The student newspaper, known as the Daily Trojan (since 1925) is usually published Monday through Friday during the regular school term (typically September through May). During the summer, the Summer Trojan (so named initially in 1950), is usually published once per week.
DOI: 10.15468/dl.zz7hh9
title: Occurrence Download

description: A dataset containing 5806 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Geometry POLYGON((-180 -23.5,180 -23.5,180 23,-180 23,-180 -23.5))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bulbophyllum"
 ]
}

 The dataset includes 5806 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030161-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/uschist-ouc1sto1847421
title: USC: The Daily Trojan, 1912-

description: The student newspaper, known as the Daily Trojan (since 1925) is usually published Monday through Friday during the regular school term (typically September through May). During the summer, the Summer Trojan (so named initially in 1950), is usually published once per week.
DOI: 10.25549/uschist-ouc1sto1847427
title: USC: The Daily Trojan, 1912-

description: The student newspaper, known as the Daily Trojan (since 1925) is usually published Monday through Friday during the regular school term (typically September through May). During the summer, the Summer Trojan (so named initially in 1950), is usually published once per week.
DOI: 10.25549/uschist-ouc1sto1847431
title: USC: The Daily Trojan, 1912-

description: The student newspaper, known as the Daily Trojan (since 1925) is usually published Monday through Friday during the regular school term (typically September through May). During the summer, the Summer Trojan (so named initially in 1950), is usually published once per week.
DOI: 10.25549/uschist-ouc1sto1847485
title: USC: The Daily Trojan, 1912-

description: The student newspaper, known as the Daily Trojan (since 1925) is usually published Monday through Friday during the regular school term (typically September through May). During the summer, the Summer Trojan (so named initially in 1950), is usually published once per week.
DOI: 10.25549/uschist-ouc1sto1847495
title: USC: The Daily Trojan, 1912-

description: The student newspaper, known as the Daily Trojan (since 1925) is usually published Monday through Friday during the regular school term (typically September through May). During the summer, the Summer Trojan (so named initially in 1950), is usually published once per week.
DOI: 10.25549/uschist-ouc1sto1847501
title: USC: The Daily Trojan, 1912-

description: The student newspaper, known as the Daily Trojan (since 1925) is usually published Monday through Friday during the regular school term (typically September through May). During the summer, the Summer Trojan (so named initially in 1950), is usually published once per week.
DOI: 10.25549/uschist-ouc1sto1847387
title: USC: The Daily Trojan, 1912-

description: The student newspaper, known as the Daily Trojan (since 1925) is usually published Monday through Friday during the regular school term (typically September through May). During the summer, the Summer Trojan (so named initially in 1950), is usually published once per week.
DOI: 10.25549/uschist-ouc1sto1848158
title: USC: The Daily Trojan, 1912-

description: The student newspaper, known as the Daily Trojan (since 1925) is usually published Monday through Friday during the regular school term (typically September through May). During the summer, the Summer Trojan (so named initially in 1950), is usually published once per week.
DOI: 10.15468/dl.rkuh7h
title: Occurrence Download

description: A dataset containing 2681976 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calidris minutilla",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2681976 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030134-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12553306
title: Dataset: Ayro, Inc. (AYRO) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12553307
title: Dataset: Ayro, Inc. (AYRO) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12553308
title: Dataset: Aytu BioPharma, Inc. (AYTU) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12553309
title: Dataset: Aytu BioPharma, Inc. (AYTU) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12553310
title: Dataset: A2Z Smart Technologies Corp. (AZ) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12553311
title: Dataset: A2Z Smart Technologies Corp. (AZ) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.15468/dl.sg8x5a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scaphopoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-120 -60,-90 -60,-90 -30,-120 -30,-120 -60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012829-251009101135966/datasets/export for details.
DOI: 10.6084/m9.figshare.26057656
title: Biomolecular condensates bridge experiment and theory of mass-conserving reaction-diffusion systems in phase separation

description: This repository provides the OpenCL and Matlab codes that simulate the phase separation model (1) from our manuscript, “Biomolecular condensates bridge experiment and theory of mass-conserving reaction-diffusion systems in phase separation” by Cheng Li, Man-Ting Guo, Xiaoqing He, Quan-Xing Liu, and Zhi Qi, (2024), submitted, DOI: will come soon.Guide for CodeThis folder includes five subfolders, from Fig. 2 to Fig. 6.<b>Fig2:</b><code>Fig2b_code</code>: Contains the numerical simulation codes for Figure 2b.<code>Fig2c_code</code>: Contains the numerical simulation codes for Figure 2c.These codes can be run directly with Jupyter Notebook.<b>Fig3:</b><code>Code</code> folder: Includes the model simulation and data analysis codes using Matlab. It covers structure factor analysis, experimental data, and simulation output.<b>Fig4:</b><code>fig3code</code>, <code>fig4data</code>, and <code>fig4figs</code> folders: Include the code, data, and output results, respectively.<b>Fig5:</b>Stores the code and data within different subfolders, respectively.<b>Fig6:</b>Contains the data on ripple development from the previously published literature by Ping Lv, Clément Narteau, et al., 2021, PNAS. Vol. 118 No. 17 e2024105118. Data is taken from Figure 5(B).Questions:Please contact Quan-Xing Liu (qx.liu@sjtu.edu.cn) for any questions on the code.
DOI: 10.15468/dl.mhqkfr
title: Occurrence Download

description: A dataset containing 732484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Erinaceus europaeus Linnaeus, 1758"
 ]
}

 The dataset includes 732484 records from 2201 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001741-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15919783
title: First motion polarity data for the 2025 Santorini-Amorgos seismic swarm
DOI: 10.5281/zenodo.15919784
title: First motion polarity data for the 2025 Santorini-Amorgos seismic swarm
DOI: 10.15468/dl.y6xstt
title: Occurrence Download

description: A dataset containing 30591 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Malva parviflora"
 ]
}

 The dataset includes 30591 records from 601 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017542-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gggfrm
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is India",
 "GadmGid is IND",
 "OccurrenceStatus is Present",
 "TaxonKey is Strobilanthes kunthiana"
 ]
}

 The dataset includes 28 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017548-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rp6au3
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grewia ferruginea",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 20 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017545-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15865418
title: The Amphan Dataset: Humanitarian Classification of Bengali Disaster-Related Tweets

description: The Amphan Dataset (Bengali Disaster-Related Tweets)

This Amphan dataset is a contribution of the paper titled "Humanitarian Classification of Crisis-related Microblogs in Bengali: A Comparison of Multilingual Pre-trained Language Models", which has been accepted for publication in the International Journal of Disaster Risk Reduction (IJDRR), Elsevier !! For more details about the dataset, please refer to our paper. 

Overview

The Amphan dataset is a collection of 2,400 Bengali-language tweets related to Cyclone Amphan, which struck the Bay of Bengal region in May 2020. The dataset aims to support the classification of disaster-related social media content in low-resource languages such as Bengali, with a focus on humanitarian aid and crisis response. 

To our knowledge, this is the first publicly available dataset of disaster-related social media posts in Bengali. Despite being developed in the context of Cyclone Amphan, this dataset has broader relevance due to the frequent occurrence of cyclonic storms affecting the region comprising Bangladesh and eastern India.

Dataset structure

The Amphan dataset in this repository is provided in Excel (.xlsx) format and contains 2,400 tweets (microblogs). The dataset includes the following columns:



 ID: Unique identifier for each tweet

Tweet_in_Bengali: Original tweet text written in Bengali

Tweet_in_EN_IndicTrans: English translation generated via a neural machine translation model, IndicTrans

Label: One or more humanitarian class labels assigned to the tweet


Annotation and Class Labels

The tweets were annotated with a set of humanitarian class labels based on the type of information conveyed. The dataset is multi-label, meaning a tweet can belong to more than one class. The labels are as follows:



affected_individual

caution_advice_updates

displaced_and_evacuations

donations_and_volunteering

infrastructure_and_utilities_damage

injured_or_dead_people

missing_and_found_people

requests_or_needs

response_efforts

sympathy_and_support

not_humanitarian


License

The Amphan dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. To view a copy of this license, visit CC BY-NC-SA 4.0.

Citation

This dataset is released publicly for non-commercial research and academic purposes. Please cite our paper when using the data in any publication or derived work.
DOI: 10.5281/zenodo.15865419
title: The Amphan Dataset: Humanitarian Classification of Bengali Disaster-Related Tweets

description: The Amphan Dataset (Bengali Disaster-Related Tweets)

This Amphan dataset is a contribution of the paper titled "Humanitarian Classification of Crisis-related Microblogs in Bengali: A Comparison of Multilingual Pre-trained Language Models", which has been accepted for publication in the International Journal of Disaster Risk Reduction (IJDRR), Elsevier !! For more details about the dataset, please refer to our paper. 

Overview

The Amphan dataset is a collection of 2,400 Bengali-language tweets related to Cyclone Amphan, which struck the Bay of Bengal region in May 2020. The dataset aims to support the classification of disaster-related social media content in low-resource languages such as Bengali, with a focus on humanitarian aid and crisis response. 

To our knowledge, this is the first publicly available dataset of disaster-related social media posts in Bengali. Despite being developed in the context of Cyclone Amphan, this dataset has broader relevance due to the frequent occurrence of cyclonic storms affecting the region comprising Bangladesh and eastern India.

Dataset structure

The Amphan dataset in this repository is provided in Excel (.xlsx) format and contains 2,400 tweets (microblogs). The dataset includes the following columns:



 ID: Unique identifier for each tweet

Tweet_in_Bengali: Original tweet text written in Bengali

Tweet_in_EN_IndicTrans: English translation generated via a neural machine translation model, IndicTrans

Label: One or more humanitarian class labels assigned to the tweet


Annotation and Class Labels

The tweets were annotated with a set of humanitarian class labels based on the type of information conveyed. The dataset is multi-label, meaning a tweet can belong to more than one class. The labels are as follows:



affected_individual

caution_advice_updates

displaced_and_evacuations

donations_and_volunteering

infrastructure_and_utilities_damage

injured_or_dead_people

missing_and_found_people

requests_or_needs

response_efforts

sympathy_and_support

not_humanitarian


License

The Amphan dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. To view a copy of this license, visit CC BY-NC-SA 4.0.

Citation

This dataset is released publicly for non-commercial research and academic purposes. Please cite our paper when using the data in any publication or derived work.
DOI: 10.15468/dl.re68dz
title: Occurrence Download

description: A dataset containing 4375 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Odontarrhena serpyllifolia"
 ]
}

 The dataset includes 4375 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017547-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3pudry
title: Occurrence Download

description: A dataset containing 1422362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Namibia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1422362 records from 511 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017514-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6dbxzf
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lithobates catesbeianus",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 155 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017550-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zn7yzv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syzygium cumini",
 "Country is Micronesia (Federated States of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017549-250711103210423/datasets/export for details.
DOI: 10.5517/ccdc.csd.cc2mm9l5
title: CCDC 2431627: Experimental Crystal Structure Determination

description: Related Article: Surjya Kumar Bora, Anil K. Saikia|2025|RSC Advances|15|21257|doi:10.1039/D5RA03630E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.18112/openneuro.ds006395.v1.0.3
title: Upper limb dystonia, cervical dystonia and healthy controls dataset
DOI: 10.15468/dl.r5ym3z
title: Occurrence Download

description: A dataset containing 16246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "TaxonKey is Eptesicus serotinus"
 ]
}

 The dataset includes 16246 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017551-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15911386
title: Dataset of PCA  Applied to Fermi-Pasta-Ulam-Tsingou Trajectories  (Initial Excited Mode: $k=2, A=10$)

description: The dataset contains the correlation matrix's eigenvalues and the reconstruction errors from PCA performed using singular value decomposition, applied to the trajectories of Fermi–Pasta–Ulam–Tsingou (FPUT)  $\beta$ model with $N = 32$ coupled harmonic oscillators. Each Numpy array is obtained from  PCA applied to an entire model's trajectory comprising $n_s = 4{,}000{,}000$ data points,  initialized by exciting the first mode ($k=2$, $A=10$). The parameter $\beta$ varies over the interval $[0.1, 3]$, in increments of $0.1$.
DOI: 10.5281/zenodo.15911387
title: Dataset of PCA  Applied to Fermi-Pasta-Ulam-Tsingou Trajectories  (Initial Excited Mode: $k=2, A=10$)

description: The dataset contains the correlation matrix's eigenvalues and the reconstruction errors from PCA performed using singular value decomposition, applied to the trajectories of Fermi–Pasta–Ulam–Tsingou (FPUT)  $\beta$ model with $N = 32$ coupled harmonic oscillators. Each Numpy array is obtained from  PCA applied to an entire model's trajectory comprising $n_s = 4{,}000{,}000$ data points,  initialized by exciting the first mode ($k=2$, $A=10$). The parameter $\beta$ varies over the interval $[0.1, 3]$, in increments of $0.1$.
DOI: 10.15468/dl.hjzd3m
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhaponticum repens",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017552-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nenpvk
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhaponticum repens",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 40 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017553-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.