cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15184011
title: CFMIP Project CESM2 (Atmospheric Temperatures)

description: This research utilizes CESM simulations, produced as a part of the third phase of the Cloud

Feedback Model Intercomparison Project (CFMIP3) and I acknowledge the contributions of the

modeling teams and institutions involved in the development and support of CESM.
DOI: 10.5281/zenodo.15184012
title: CFMIP Project CESM2 (Atmospheric Temperatures)

description: This research utilizes CESM simulations, produced as a part of the third phase of the Cloud

Feedback Model Intercomparison Project (CFMIP3) and I acknowledge the contributions of the

modeling teams and institutions involved in the development and support of CESM.
DOI: 10.5281/zenodo.15258517
title: CFMIP Project CESM2 (Atmospheric Temperatures)

description: This research utilizes CESM simulations, produced as a part of the third phase of the Cloud

Feedback Model Intercomparison Project (CFMIP3) and I acknowledge the contributions of the

modeling teams and institutions involved in the development and support of CESM.
DOI: 10.17632/mz38h7bpjg.1
title: Bibliometric Data on Top 50 African Ophthalmologists

description: This dataset supports a bibliometric study aimed at identifying and analyzing the most prolific ophthalmology researchers affiliated with African medical schools. To develop this dataset, we first compiled a comprehensive list of over 100 African medical schools known to have ophthalmology departments or faculties. Using Scopus, we executed a structured search strategy that combined general ophthalmic terms (e.g., “cataract,” “glaucoma,” “myopia,” “diabetic retinopathy”) with each institution's name. We manually reviewed and verified the resulting author affiliations and publication relevance in two screening phases to ensure the inclusion of only active ophthalmology researchers with current or past institutional ties to African medical schools. The dataset comprises 50 top-ranked researchers and includes key bibliometric metrics such as Scopus Author ID, affiliated institution, country, sex, h-index, total citations, publication count, and active publishing span. We also collected additional non-ranking attributes for deeper academic profiling—namely SciVal Topic prominence, highest academic qualifications, and academic rank. The dataset was last updated on March 31, 2025, and stored in a structured Excel format to enable consistent referencing and analysis. The dataset offers valuable insights into geographic distribution, research productivity, and subject area concentration of ophthalmic research in Africa.
DOI: 10.17632/p9325ypymf.1
title: Twitter Data Collection Script (MexPol.py) for Mexican Political Propaganda Analysis with Large Language Models

description: This Python script was developed to collect Twitter data during the 2018 Mexican presidential election campaign. It tracks mentions and tweets related to the main presidential candidates (@JoseAMeadeK, @RicardoAnayaC, @lopezobrador_, and @JaimeRdzNL) by filtering the Twitter stream API. The collected data includes tweet IDs, user screen names, URLs, follower counts, timestamps (both in UTC and Mexico City time), tweet content, source, geographical coordinates (when available), and user location information.

This script was created as part of the research project "In-Context Learning for Misinformation Detection: Detecting Political Propaganda on Twitter Mexico using Large Language Model Meta AI." The primary goal was to gather public Twitter data related to Mexican political discourse during the 2018 presidential election for subsequent analysis of misinformation patterns and political propaganda.

Data Privacy: 
This script only collected tweets that were publicly accessible (i.e., those without privacy restrictions set by users). No private communications or protected tweets were accessed or stored.
DOI: 10.5281/zenodo.15258602
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Edward Shearman Ross, http://www.wikidata.org/entity/Q5345292. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5345292
DOI: 10.5281/zenodo.8103214
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Edward Shearman Ross, http://www.wikidata.org/entity/Q5345292. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5345292
DOI: 10.5281/zenodo.15258533
title: NASA Close Approach Data Collection (1960–2060)

description: This repository contains data and visuals related to the NASA Close Approach Dataset (1960–2060), which documents near-Earth object (NEO) flybys recorded by NASA's Center for Near Earth Object Studies (CNEOS).

Contents:- Raw dataset (CSV)- Yearly histogram of asteroid flybys- Scatterplot of velocity vs miss distance- README file- 1-page summary PDF

This project was created for a digital curation course to demonstrate ingestion, metadata creation, and repository design using Zenodo.
DOI: 10.5281/zenodo.15258534
title: NASA Close Approach Data Collection (1960–2060)

description: This repository contains data and visuals related to the NASA Close Approach Dataset (1960–2060), which documents near-Earth object (NEO) flybys recorded by NASA's Center for Near Earth Object Studies (CNEOS).

Contents:- Raw dataset (CSV)- Yearly histogram of asteroid flybys- Scatterplot of velocity vs miss distance- README file- 1-page summary PDF

This project was created for a digital curation course to demonstrate ingestion, metadata creation, and repository design using Zenodo.
DOI: 10.17632/pj4nmp29k5
title: Physical properties of novel Ca2TiRuO6 perovskite

description: Structural, optical, electrical and magnetic characterization data are provided for the new material Ca2TiRuO6
DOI: 10.17632/pj4nmp29k5.1
title: Physical properties of novel Ca2TiRuO6 perovskite

description: Structural, optical, electrical and magnetic characterization data are provided for the new material Ca2TiRuO6
DOI: 10.17632/j4pxzxpkc3.1
title: Mexican Political Twitter Dataset (2018 Presidential Election)

description: This dataset contains Twitter data collected during the 2018 Mexican presidential election campaign, focusing on mentions and tweets related to the main presidential candidates (@JoseAMeadeK, @RicardoAnayaC, @lopezobrador_, and @JaimeRdzNL). It represents a sample of 10,000 tweets from a larger dataset gathered as part of the research project "In-Context Learning for Misinformation Detection: Detecting Political Propaganda on Twitter Mexico using Large Language Model Meta AI".

The dataset includes the following fields:
tweet_id: Unique identifier for each tweet
followers_count: Number of followers of the user who posted the tweet
created_at: Original timestamp of tweet creation (UTC)
local_time: Timestamp converted to Mexico City time zone
tweet: Text content of the tweet
source: Platform or application used to post the tweet

This sample dataset was collected using the Twitter's streaming API in 2018. The script filtered the global Twitter stream for mentions of Mexico's presidential candidates.

Several fields present in the original data collection have been removed from this sample to comply with Twitter's terms of service and to protect user privacy:

Username (screen_name)
Tweet URL
Geographical coordinates
User location information

Only publicly accessible tweets (those without privacy restrictions set by users) were collected in the original dataset.

This dataset serves as a sample to provide insights into the larger research project focusing on misinformation detection and political propaganda analysis in Mexican social media during the 2018 presidential campaign. The research applies large language models to detect patterns of misinformation in political discourse.
DOI: 10.17632/y4ystwbxz5.1
title: Baseline Climatology of Gravity Waves from 30 to ~70 km Established with Lidar Observations over a Decade at McMurdo (77.84ºS, 166.679ºE), Antarctica: Implications for Vertical Wave Coupling and Dissipation

description: Data to accompany Jandreau and Chu (2025)
DOI: 10.17632/xyd9jhtxsg.1
title: Supplementary Tables 1 and 2

description: Supplementary Table 1: ICD-10 Codes for Immunobullous diseases
Supplementary Table 2: ICD-10 and ICD-O Codes for mucosal melanoma
DOI: 10.17632/335c36hm6n.1
title: Analysis of Coriander, Pumpkin, and Castor Oils

description: FTIR and Raman restuls for Coriander, Pumpkin, and Castor Oils
DOI: 10.17632/3jkwnhxm36.1
title: No Thromboembolic Events Observed in RCTs of Oral Tranexamic Acid: A Systematic Review and Descriptive Synthesis

description: This systematic review synthesizes data from 51 randomized controlled trials and 23 observational studies evaluating the safety of oral tranexamic acid (TXA), with a specific focus on thromboembolic events (TEs). While TXA is widely used off-label for chronic dermatologic conditions such as melasma, concerns regarding TE risk have limited its broader adoption. Our findings reveal no thromboembolic events in over 2,500 RCT participants treated with oral TXA for durations of up to 24 months, suggesting a favorable safety profile in controlled settings.
DOI: 10.17632/t32jsmdgxc.1
title: Researchdata

description: A research data for study
DOI: 10.17632/kbjf4tp4d4
title: Cobalt content in agricultural soil and its possible driving factors in a certain area
DOI: 10.17632/kbjf4tp4d4.1
title: Cobalt content in agricultural soil and its possible driving factors in a certain area
DOI: 10.17632/jfpmmdfx6p.1
title: The neuropeptide FLP-11 induces and self-inhibits sleep through the receptor DMSR-1 in Caenorhabditis elegans. Rossi et al.

description: Using cell-specific knockdowns, we demonstrate that dmsr-1 induces sleep by acting in cholinergic neurons downstream of RIS activation. Pharmacological intervention indicates that inhibiting cholinergic signaling is necessary for sleep. Consistently, DMSR-1 expression in cholinergic neurons is essential for core sleep functions, including protective gene expression and survival. In contrast, we found that dmsr-1 in RIS mediates a negative feedback control during sleep, which limits RIS calcium activation and the duration of sleep. Consequently, dmsr-1 in RIS inhibits protective gene expression and survival. Thus, DMSR-1 can control both the initiation and limitation of sleep, effectively coupling sleep induction with a sleep-stop signal. RFamide neuropeptide-GPCR signaling might underlie similar dual mechanisms of sleep control in other species, and self-inhibition of sleep-active neurons might represent a conserved mechanism for limiting the duration of sleep.
This dataset is organized in folders, one for each figure in the manuscript considering main figures and supplementary figures. Inside each folder, data is organized in sub-folders. The sub-folder division replicates the one of the panels in the figure legends. Each group of panels correspond to an individual experiment. For each experiment it is provided in form of excel table: raw data extracted as described in the material and methods chapter, the processed data used to draw plots, and data for statistics calculated as explained in materials and methods chapter. Raw data for each experiment are included just in the folder corresponding to the figure where an analysis of that data is shown for the first time. Folders that contains analysis of raw data already included in a previous folder have a text file indicating where to find the corresponding raw data.
DOI: 10.17632/zf6y8txz7r.1
title: Evaluation Information Data of Wind-Photovoltaic-Shared Energy Storage Stations

description: The data includes scores from 15 multidisciplinary experts (economics, electrical science, management, grid finance) for 10 indicators, socio-economic (income/population/electricity consumption) and natural condition (wind speed/sunshine hours/grid stability) data for 6 regions, and judgment matrices using a 1-9 scale for sub-indicators within each layer, supporting weight determination and suitability analysis for wind-photovoltaic-energy storage power stations.
DOI: 10.5281/zenodo.15229950
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Milton W. Sanderson, http://www.wikidata.org/entity/Q82035773. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q82035773
DOI: 10.5281/zenodo.15229951
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Milton W. Sanderson, http://www.wikidata.org/entity/Q82035773. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q82035773
DOI: 10.5281/zenodo.15258603
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Milton W. Sanderson, http://www.wikidata.org/entity/Q82035773. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q82035773
DOI: 10.17632/b8bzj92pp4.1
title: XPS data

description: XPS data
DOI: 10.5281/zenodo.13854359
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Cyril Franklin dos Passos, http://www.wikidata.org/entity/Q25525699. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q25525699
DOI: 10.5281/zenodo.13854360
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Cyril Franklin dos Passos, http://www.wikidata.org/entity/Q25525699. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q25525699
DOI: 10.5281/zenodo.13864308
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Cyril Franklin dos Passos, http://www.wikidata.org/entity/Q25525699. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q25525699
DOI: 10.5281/zenodo.15258604
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Cyril Franklin dos Passos, http://www.wikidata.org/entity/Q25525699. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q25525699
DOI: 10.17632/n4m4j8xk3j.1
title: ELK3 data

description: ELK3 data
DOI: 10.17632/37mzgdphkt.1
title: YouTube Data

description: Data of 'The Reliability and Educational Value of YouTube Videos on Infantile Colic'
DOI: 10.17632/r5ftnf4j9f.1
title: Protein and Ligand Dataset for Drug Repositioning in Childhood Acute Lymphoblastic Leukemia (ALL)

description: This dataset includes two main components (proteins and ligands), which can be used in computational research focused on drug repositioning in Childhood Acute Lymphoblastic Leukemia (ALL):

1- Protein Sequences (proteins.txt): This dataset file contains amino acid sequences of selected proteins used in a study aiming to identify novel therapeutic candidates by drug repositioning for Childhood Acute Lymphoblastic Leukemia (ALL). The sequences were extracted from the UniProt database and are proteins which are known or predicted to be associated with ALL pathogenesis, treatment procedures, or immunological relevance. The file is structured in a JSON-like format with UniProt IDs as keys and amino acid sequences as values. Each entry corresponds to one protein. 
Additional Metadata:
- Data Type: Amino acid sequence data (FASTA-like JSON format)
- Unique Proteins: 8479
- Average Sequence Length: 529.81
- Maximum Sequence Length: 14507

2. Ligand Data (ligands.txt): A collection of drug-like small molecules represented in SMILES or similar formats. The ligands in this file were selected by considering their therapeutic potential and relevance to ALL-related targets. The data was sourced from databases such as ChEMBL and DrugBank. Also, some data related to FDA approved drugs were added manually. 
Additional Metadata:
- Data Type: SMILES strings in JSON-like format (key-value pairs).
- Number of ligands: ~220.000

The combined dataset supports research in bioinformatics, drug discovery, and leukemia-specific therapeutic targeting.

The dataset is designed to aid computational biology, bioinformatics and artificial intelligence research, especially for researchers in the field of leukemia biology, drug-target interaction modeling, and systems pharmacology.
DOI: 10.17632/rsxb4w977k.1
title: 新能源汽车销量

description: 汽车销量
DOI: 10.25345/c5zg6gk73
title: MassIVE MSV000097679 - Evaluation of normalization strategies for mass spectrometry-based multi-omics datasets
title: This study emphasizes the importance of data normalization in multi-omics integration, especially for time-course data, where normalization can unintentionally distort temporal patterns. Using datasets from metabolomics, lipidomics, and proteomics derived from the same cell lysate, the researchers compared common normalization methods with a machine learning approach, SERRF. They developed a streamlined process to evaluate normalization effectiveness based on quality control (QC) consistency and the preservation of treatment- and time-related variance. Metabolomics datasets are provided here.
DOI: 10.17632/gxrdw4jfkv.1
title: Ga2O3_Si_dataset

description: Ga2O3_SI, XRD, Raman measurements
DOI: 10.5281/zenodo.14768592
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Kathryn Sommerman, http://www.wikidata.org/entity/Q33038897. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q33038897
DOI: 10.5281/zenodo.14768593
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Kathryn Sommerman, http://www.wikidata.org/entity/Q33038897. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q33038897
DOI: 10.5281/zenodo.14797645
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Kathryn Sommerman, http://www.wikidata.org/entity/Q33038897. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q33038897
DOI: 10.5281/zenodo.15258610
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Kathryn Sommerman, http://www.wikidata.org/entity/Q33038897. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q33038897
DOI: 10.17632/dk22kcvjmh
title: Pre-post test

description: CBL pre test and post test
DOI: 10.17632/dk22kcvjmh.1
title: Pre-post test

description: CBL pre test and post test
DOI: 10.17632/spsfvcspnk.1
title: Taenia solium Genetic Analysis

description: This dataset contains genetic data used for the analysis of Taenia solium in the study titled “Phylogenetic characterization of the pork tapeworm Taenia solium in Japan: implications for the enigmatic evolutionary history” (DOI: 10.1016/j.ijpara.2025.04.009).
Any additional information is available from the corresponding authors upon request.
DOI: 10.17632/4sdzkngmbx
title: Tourism sustainability

description: The World Tourism Organization defines sustainable tourism as “tourism that takes full account of its current and future economic, social and environmental impacts, addressing the needs of visitors, the industry, the environment and host communities".
DOI: 10.17632/4sdzkngmbx.1
title: Tourism sustainability

description: The World Tourism Organization defines sustainable tourism as “tourism that takes full account of its current and future economic, social and environmental impacts, addressing the needs of visitors, the industry, the environment and host communities".
DOI: 10.5281/zenodo.15258612
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Evert I. Schlinger, http://www.wikidata.org/entity/Q21393547. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21393547
DOI: 10.5281/zenodo.8361406
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Evert I. Schlinger, http://www.wikidata.org/entity/Q21393547. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21393547
DOI: 10.5281/zenodo.8378143
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Evert I. Schlinger, http://www.wikidata.org/entity/Q21393547. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21393547
DOI: 10.17632/c9sb7945zs
title: Challanges & Opportunity -SEZ

description: There are at least five major risks that could threaten the global economy if they materialize:

 Rising geopolitical tensions. Geopolitical tensions have become the single most important risk confronting the global economy (Figure 2. ...
 China's economic slowdown. ...
 Surging financial stress. ...
 Trade fragmentation. ...
 Climate change.
DOI: 10.17632/c9sb7945zs.1
title: Challanges & Opportunity -SEZ

description: There are at least five major risks that could threaten the global economy if they materialize:

 Rising geopolitical tensions. Geopolitical tensions have become the single most important risk confronting the global economy (Figure 2. ...
 China's economic slowdown. ...
 Surging financial stress. ...
 Trade fragmentation. ...
 Climate change.