cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/23xs-eh57
title: TangbeiB testate amoebae surface sample dataset

description: Raw data for the TangbeiB testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.28963766
title: 20250508_RepositoryData.xlsx

description: Antibiotic treatment is essential for resolving bacterial infections, but its impact on bacterial extracellular vesicle (BEV) production and downstream host responses remains underexplored. We studied how three common antibiotics affect BEV release and inflammatory signaling from two strains of <i>Escherichia coli</i> associated with urinary tract infections and meningitis. We found that BEVs from both strains activated human endothelial cells through toll-like receptor 4, and that this response was modulated by antibiotic use. In particular, meropenem altered both BEV production and pro-inflammatory potential in a strain-dependent manner. Proteomic analysis revealed that antibiotic exposure modified BEV protein content, including levels of the immunogenic lipoprotein Lpp. These results suggest that antibiotic choice can influence bacterial signaling to the host via vesicles in a strain-dependent manner. Understanding how antibiotics reshape vesicle-mediated communication may offer new insights into sepsis and endothelial dysfunction.<br>This Excel file contains the ICAM-1 fluorescence intensity measurements, nanoparticle tracking analysis concentrations and particle sizes, and Western Blot analysis.
DOI: 10.6084/m9.figshare.28963766.v1
title: 20250508_RepositoryData.xlsx

description: Antibiotic treatment is essential for resolving bacterial infections, but its impact on bacterial extracellular vesicle (BEV) production and downstream host responses remains underexplored. We studied how three common antibiotics affect BEV release and inflammatory signaling from two strains of <i>Escherichia coli</i> associated with urinary tract infections and meningitis. We found that BEVs from both strains activated human endothelial cells through toll-like receptor 4, and that this response was modulated by antibiotic use. In particular, meropenem altered both BEV production and pro-inflammatory potential in a strain-dependent manner. Proteomic analysis revealed that antibiotic exposure modified BEV protein content, including levels of the immunogenic lipoprotein Lpp. These results suggest that antibiotic choice can influence bacterial signaling to the host via vesicles in a strain-dependent manner. Understanding how antibiotics reshape vesicle-mediated communication may offer new insights into sepsis and endothelial dysfunction.<br>This Excel file contains the ICAM-1 fluorescence intensity measurements, nanoparticle tracking analysis concentrations and particle sizes, and Western Blot analysis.
DOI: 10.21233/1pz9-kh86
title: Burlington Heights Mammoth vertebrate fauna dataset

description: Raw data for the Burlington Heights Mammoth vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/secg-h785
title: Lake WB02 water chemistry dataset

description: Raw data for the Lake WB02 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.18112/openneuro.ds006156.v1.0.1
title: Neural Processes in Emerging Adults with Type I Diabetes: How Do Brain Processes Relate to Disease Management?
DOI: 10.21233/f50v-se72
title: Lotto Lake diatom bottom sample dataset

description: Raw data for the Lotto Lake diatom bottom sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.xyys2x
title: Occurrence Download

description: A dataset listing the 1157 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((49.7058 -15.07494,49.69814 -15.14846,49.6384 -15.14846,49.60624 -15.14999,49.60011 -15.18982,49.61849 -15.24496,49.60011 -15.31542,49.62002 -15.33073,49.63381 -15.3629,49.66138 -15.40885,49.68589 -15.41191,49.71499 -15.35677,49.77626 -15.38128,49.81761 -15.34146,49.88194 -15.3675,49.92789 -15.37515,49.93249 -15.3338,49.99682 -15.30163,50.04584 -15.24343,50.06728 -15.11783,50.03818 -15.09485,50.02286 -15.16378,49.94628 -15.13621,49.86663 -15.15612,49.83446 -15.06728,49.77013 -15.02286,49.7058 -15.07494))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 1157 records were derived from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026689-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15390078
title: cygnus_cygnus_spades_01.fasta.gz
DOI: 10.5281/zenodo.15390079
title: cygnus_cygnus_spades_01.fasta.gz
DOI: 10.21233/kc9b-a650
title: Haleakalā Volcano 6H pollen surface sample dataset

description: Raw data for the Haleakalā Volcano 6H pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/hjgd-hh55
title: Grand Ridge Cirque pollen surface sample dataset

description: Raw data for the Grand Ridge Cirque pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/1br5-c986
title: Barbora testate amoebae dataset

description: Raw data for the Barbora testate amoebae dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/7cwd-a116
title: Big Circle Mound Group [Tony's Mound] vertebrate fauna dataset

description: Raw data for the Big Circle Mound Group [Tony's Mound] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/s1j6-1g86
title: Pfefferbichl pollen dataset

description: Raw data for the Pfefferbichl pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/37v4-6903
title: Lake Manitoba water chemistry dataset

description: Raw data for the Lake Manitoba water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/0r62-sg31
title: Listvyanka-bog2 testate amoebae surface sample dataset

description: Raw data for the Listvyanka-bog2 testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15390035
title: SHALLKNOW

description: This is a dataset used for the Fact Checking Approach with Shallow Knowledge. Published for reviewers.
DOI: 10.5281/zenodo.15390036
title: SHALLKNOW

description: This is a dataset used for the Fact Checking Approach with Shallow Knowledge. Published for reviewers.
DOI: 10.21233/xdex-1365
title: Mukhrino testate amoebae surface sample dataset

description: Raw data for the Mukhrino testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/vnsw-cq34
title: Lake Frances diatom dataset

description: Raw data for the Lake Frances diatom dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/jt8c-sb61
title: Grand Lake St. Marys diatom surface sample dataset

description: Raw data for the Grand Lake St. Marys diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/wbm6-1y87
title: Forest Lake water chemistry dataset

description: Raw data for the Forest Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/7spc-mq49
title: Bouwput Den Helder Plek XI pollen dataset

description: Raw data for the Bouwput Den Helder Plek XI pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ysa5-6q77
title: Adams Trail Peatland testate amoebae surface sample dataset

description: Raw data for the Adams Trail Peatland testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/5kmz-r815
title: Kolbermoor pollen dataset

description: Raw data for the Kolbermoor pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/we10-j377
title: Wahl 2002 Surface Sample Site 4 pollen surface sample dataset

description: Raw data for the Wahl 2002 Surface Sample Site 4 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/hdj6-5m08
title: Round (hollnd) diatom surface sample dataset

description: Raw data for the Round (hollnd) diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/4c2y-9b77
title: Tanghongling testate amoebae surface sample dataset

description: Raw data for the Tanghongling testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.14141550
title: Labeled Datasets for Research on Information Operations

description: Labeled Datasets for Research on Information Operations

Compliance with Platform Terms

To comply with the platform terms, we ask that you download one data file per researcher, per day.

README

19-November-2024Contact: Observatory on Social Media

Dataset ArticlesThis dataset is collected and processed according to the paper "Labeled Datasets for Research on Information Operations."

DescriptionThese datasets contain data curated for research on information operations (IO) and includes both labeled IO and control data. The datasets cover 26 verified IO campaigns from various countries and provide comprehensive records of posts from IO accounts alongside control posts from legitimate accounts discussing similar topics during the same periods. The datasets enable the development and benchmarking of IO detection methods by comparing coordinated versus organic accounts.

LicenseThis dataset is available under the Attribution-NonCommercial-NoDerivatives 4.0 International license. If you use this data, please cite the original paper.

Dataset ContentThe dataset includes anonymized fields to preserve privacy, and is structured with the following columns:



postid: Unique identifier for each post within the dataset.

post_text: The textual content of the post. The PII inside post_text such as mentions and URLs are hashed

application_name: Hashed version of the name of the application or platform from which the post was made.

post_language: Language in which the post was written.

in_reply_to_postid: Anonymized ID of the post this entry is replying to, if applicable.

in_reply_to_accountid: Anonymized ID of the account the post is replying to, if applicable.

post_time: Timestamp indicating when the post was made.

accountid: Unique anonymized ID for the account that created the post.

account_profile_description: Description provided by the account holder in their profile.

follower_count: Number of followers the account had at the time of data collection.

following_count: Number of accounts the user was following at the time of data collection.

account_creation_date: Date when the account was created.

is_repost: Boolean indicator if the post is a repost.

reposted_accountid: Anonymized ID of the original account that made the reposted post, if applicable.

reposted_postid: Anonymized ID of the original post that was reposted, if applicable.

hashtags: Hashtags included in the post content, if any.

urls: Hashed URLs shared within the post, if any.

account_mentions: Anonymized ID of accounts mentioned within the post, if any.

is_control: Boolean indicator marking whether the post is from a control (True) or IO (False) account.


Data for different campaigns are organized in separate versions of this repository.
DOI: 10.5281/zenodo.14188947
title: Labeled Datasets for Research on Information Operations

description: Labeled Datasets for Research on Information Operations

Compliance with Platform Terms

To comply with the platform terms, we ask that you download one data file per researcher, per day.

README

19-November-2024Contact: Observatory on Social Media

Dataset ArticlesThis dataset is collected and processed according to the paper "Labeled Datasets for Research on Information Operations."

DescriptionThese datasets contain data curated for research on information operations (IO) and includes both labeled IO and control data. The datasets cover 26 verified IO campaigns from various countries and provide comprehensive records of posts from IO accounts alongside control posts from legitimate accounts discussing similar topics during the same periods. The datasets enable the development and benchmarking of IO detection methods by comparing coordinated versus organic accounts.

LicenseThis dataset is available under the Attribution-NonCommercial-NoDerivatives 4.0 International license. If you use this data, please cite the original paper.

Dataset ContentThe dataset includes anonymized fields to preserve privacy, and is structured with the following columns:



postid: Unique identifier for each post within the dataset.

post_text: The textual content of the post. The PII inside post_text such as mentions and URLs are hashed

application_name: Hashed version of the name of the application or platform from which the post was made.

post_language: Language in which the post was written.

in_reply_to_postid: Anonymized ID of the post this entry is replying to, if applicable.

in_reply_to_accountid: Anonymized ID of the account the post is replying to, if applicable.

post_time: Timestamp indicating when the post was made.

accountid: Unique anonymized ID for the account that created the post.

account_profile_description: Description provided by the account holder in their profile.

follower_count: Number of followers the account had at the time of data collection.

following_count: Number of accounts the user was following at the time of data collection.

account_creation_date: Date when the account was created.

is_repost: Boolean indicator if the post is a repost.

reposted_accountid: Anonymized ID of the original account that made the reposted post, if applicable.

reposted_postid: Anonymized ID of the original post that was reposted, if applicable.

hashtags: Hashtags included in the post content, if any.

urls: Hashed URLs shared within the post, if any.

account_mentions: Anonymized ID of accounts mentioned within the post, if any.

is_control: Boolean indicator marking whether the post is from a control (True) or IO (False) account.


Data for different campaigns are organized in separate versions of this repository.
DOI: 10.5281/zenodo.14188959
title: Labeled Datasets for Research on Information Operations

description: Labeled Datasets for Research on Information Operations

Compliance with Platform Terms

To comply with the platform terms, we ask that you download one data file per researcher, per day.

README

19-November-2024Contact: Observatory on Social Media

Dataset ArticlesThis dataset is collected and processed according to the paper "Labeled Datasets for Research on Information Operations."

DescriptionThese datasets contain data curated for research on information operations (IO) and includes both labeled IO and control data. The datasets cover 26 verified IO campaigns from various countries and provide comprehensive records of posts from IO accounts alongside control posts from legitimate accounts discussing similar topics during the same periods. The datasets enable the development and benchmarking of IO detection methods by comparing coordinated versus organic accounts.

LicenseThis dataset is available under the Attribution-NonCommercial-NoDerivatives 4.0 International license. If you use this data, please cite the original paper.

Dataset ContentThe dataset includes anonymized fields to preserve privacy, and is structured with the following columns:



postid: Unique identifier for each post within the dataset.

post_text: The textual content of the post. The PII inside post_text such as mentions and URLs are hashed

application_name: Hashed version of the name of the application or platform from which the post was made.

post_language: Language in which the post was written.

in_reply_to_postid: Anonymized ID of the post this entry is replying to, if applicable.

in_reply_to_accountid: Anonymized ID of the account the post is replying to, if applicable.

post_time: Timestamp indicating when the post was made.

accountid: Unique anonymized ID for the account that created the post.

account_profile_description: Description provided by the account holder in their profile.

follower_count: Number of followers the account had at the time of data collection.

following_count: Number of accounts the user was following at the time of data collection.

account_creation_date: Date when the account was created.

is_repost: Boolean indicator if the post is a repost.

reposted_accountid: Anonymized ID of the original account that made the reposted post, if applicable.

reposted_postid: Anonymized ID of the original post that was reposted, if applicable.

hashtags: Hashtags included in the post content, if any.

urls: Hashed URLs shared within the post, if any.

account_mentions: Anonymized ID of accounts mentioned within the post, if any.

is_control: Boolean indicator marking whether the post is from a control (True) or IO (False) account.


Data for different campaigns are organized in separate versions of this repository.