cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wx4p6y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-0.000666 -0.000303, -0.000666 -0.000267, -0.000747 -0.000267, -0.000747 -0.000303, -0.000666 -0.000303))",
 "HasCoordinate is true",
 {
 "not" : {
 "Issue" : [
 "is Zero coordinate"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate out of range"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 },
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012496-260129131611470/datasets/export for details.
DOI: 10.17632/mzz34rgx9k.1
title: Research Data
DOI: 10.17632/g4zfdzcf57
title: Sequential expression of heat shock proteins 70 contributing to the heat response of Haemaphysalis longicornis (Acari: Ixodidae)

description: SUPPORTING INFORMATION
DOI: 10.17632/g4zfdzcf57.1
title: Sequential expression of heat shock proteins 70 contributing to the heat response of Haemaphysalis longicornis (Acari: Ixodidae)

description: SUPPORTING INFORMATION
DOI: 10.17632/wx788k5cnz
title: data set (project 2)

description: This data set includes the final Excel data sheet after filtering, which was run on SmartPLS 4.1. In addition, it includes an authorization letter from the National Institute of Technology, Hamirpur (India), for data collection.
DOI: 10.17632/wx788k5cnz.1
title: data set (project 2)

description: This data set includes the final Excel data sheet after filtering, which was run on SmartPLS 4.1. In addition, it includes an authorization letter from the National Institute of Technology, Hamirpur (India), for data collection.
DOI: 10.17632/b2yvzn4g5z
title: Impacts of Vegetation Management on Pollination Network Structure and Robustness in Urban Parks: Insights from Beijing Wenyu River Park

description: Research Hypotheses: 1. The near-natural management model can form more cohesive and robust pollination networks by promoting specialized interactions. 2. Although exotic plants in artificially planned areas can increase network nestedness by providing abundant resources, the lack of functional complementarity may make the network more vulnerable.
data files：There are nine files in total, among which 'alien plant' is a list of alien cultivated and invasive plants in two locations; 'plant_insect_matrix' is a matrix of plant-insect interactions for each season, with insects as columns, plants as rows, and the intersections representing the number of interactions; 'Pollination Network' details the specific interactions of pollinating insects, including data on flowering plant cover, number of flowers, flower diameter, flower color, and other information.
result：Results indicated that APM areas exhibited higher floral richness but lower community evenness and the dominance of alien species, resulting in diffuse, modular, and fragile network. In contrast, NNM areas, dominated by native flora, supported more diverse and specialized pollinators, with networks exhibiting higher nestedness, connectivity, and pollinator robustness. Mechanism analysis revealed that plant origin was the primary driver: NNM fostered native-specific specialization, while APM promoted resource-driven foraging. Although alien plants enhanced nestedness, their networks were less stable overall, highlighting limitations for long-term ecosystem integrity.
DOI: 10.17632/b2yvzn4g5z.1
title: Impacts of Vegetation Management on Pollination Network Structure and Robustness in Urban Parks: Insights from Beijing Wenyu River Park

description: Research Hypotheses: 1. The near-natural management model can form more cohesive and robust pollination networks by promoting specialized interactions. 2. Although exotic plants in artificially planned areas can increase network nestedness by providing abundant resources, the lack of functional complementarity may make the network more vulnerable.
data files：There are nine files in total, among which 'alien plant' is a list of alien cultivated and invasive plants in two locations; 'plant_insect_matrix' is a matrix of plant-insect interactions for each season, with insects as columns, plants as rows, and the intersections representing the number of interactions; 'Pollination Network' details the specific interactions of pollinating insects, including data on flowering plant cover, number of flowers, flower diameter, flower color, and other information.
result：Results indicated that APM areas exhibited higher floral richness but lower community evenness and the dominance of alien species, resulting in diffuse, modular, and fragile network. In contrast, NNM areas, dominated by native flora, supported more diverse and specialized pollinators, with networks exhibiting higher nestedness, connectivity, and pollinator robustness. Mechanism analysis revealed that plant origin was the primary driver: NNM fostered native-specific specialization, while APM promoted resource-driven foraging. Although alien plants enhanced nestedness, their networks were less stable overall, highlighting limitations for long-term ecosystem integrity.
DOI: 10.17632/wgc5yg7xp5
title: Data for Hematite-facet Sulfidation

description: Including XRD, XAFS at Fe K-edge, Zeta potential curves, and Tafel scans data for both pristine and sulfidated hematites exposed with 001, 110, or 214 facet.
DOI: 10.17632/wgc5yg7xp5.1
title: Data for Hematite-facet Sulfidation

description: Including XRD, XAFS at Fe K-edge, Zeta potential curves, and Tafel scans data for both pristine and sulfidated hematites exposed with 001, 110, or 214 facet.
DOI: 10.17632/8vgkk7yf3z
title: HandGripLungPaternData

description: Measurement results of hand grips and different lung patterns applied randomly by 41 participants. Measurements were obtained using respiratory monitoring prior to artificial lungs on airway model. The values obtained were "peak inspiratory pressure" and "end tidal volume".
DOI: 10.17632/8vgkk7yf3z.1
title: HandGripLungPaternData

description: Measurement results of hand grips and different lung patterns applied randomly by 41 participants. Measurements were obtained using respiratory monitoring prior to artificial lungs on airway model. The values obtained were "peak inspiratory pressure" and "end tidal volume".
DOI: 10.17632/d4cybg9fwh
title: dataset.txt

description: dataset referente a transcrição dos discursos
DOI: 10.17632/d4cybg9fwh.1
title: dataset.txt

description: dataset referente a transcrição dos discursos
DOI: 10.17632/fsmcntshw3
title: Three-Channel Rayleigh Lidar System Signal Retrievals

description: This dataset supports the article "Three-Channel Rayleigh Lidar System Signal Retrievals " (submitted to MDPI Atmosphere). The data are provided in .qda format and you will require Kaleidagraph to open the files. You can convert the qda files into excel files using QDA miner.
DOI: 10.17632/fsmcntshw3.1
title: Three-Channel Rayleigh Lidar System Signal Retrievals

description: This dataset supports the article "Three-Channel Rayleigh Lidar System Signal Retrievals " (submitted to MDPI Atmosphere). The data are provided in .qda format and you will require Kaleidagraph to open the files. You can convert the qda files into excel files using QDA miner.
DOI: 10.5281/zenodo.18487698
title: Human Experience Baseline (Dataset, n = 1,514)

description: This dataset constitutes the Human Experience Baseline, a longitudinal reference dataset published by the Human Clarity Institute to capture core dimensions of human experience in digitally mediated environments.

It is designed to provide a stable measurement foundation for tracking change over time in how people experience agency, attention, cognitive load, wellbeing, values clarity, meaning, trust, and reliance on digital and AI-enabled systems.

The dataset includes:• validated numeric Likert-scale measures (1–7, 0–5, and 0–4 scales)• indicators of personal agency, decision clarity, and perceived control• measures of attention, distraction, and cognitive load in daily digital life• wellbeing and psychological state items suitable for longitudinal comparison• values clarity, purpose, and meaning-related measures• trust in information environments and reliance on automated or intelligent systems• digital exposure variables (hours online, AI tool usage frequency)• demographic variables across six English-speaking countries

Data were collected via Prolific from adults (18+) in the United Kingdom, United States, Australia, Canada, New Zealand, and Ireland. Participants provided explicit consent for anonymised open publication.

All data were cleaned, anonymised, and processed under the Human Clarity Institute’s machine-readable dataset protocol, including:• canonical snake_case variable naming• validated numeric value ranges• standardised categorical encodings• removal of duplicate submissions• removal of all identifiers and timestamps• full alignment with the accompanying data dictionary• cryptographic checksums for file integrity

This dataset is intended to be updated through repeated data collection waves using a consistent core of measures. Each update is released as a new dataset version while retaining a stable canonical identity, enabling longitudinal analysis and comparison across time.

The Human Experience Baseline underpins a broader library of topical datasets published by the Human Clarity Institute, allowing specific human–AI interaction phenomena to be interpreted relative to an established reference baseline rather than as isolated snapshots.
DOI: 10.5281/zenodo.18487891
title: Human Experience Baseline (Dataset, n = 1,514)

description: This dataset constitutes the Human Experience Baseline, a longitudinal reference dataset published by the Human Clarity Institute to capture core dimensions of human experience in digitally mediated environments.

It is designed to provide a stable measurement foundation for tracking change over time in how people experience agency, attention, cognitive load, wellbeing, values clarity, meaning, trust, and reliance on digital and AI-enabled systems.

The dataset includes:• validated numeric Likert-scale measures (1–7, 0–5, and 0–4 scales)• indicators of personal agency, decision clarity, and perceived control• measures of attention, distraction, and cognitive load in daily digital life• wellbeing and psychological state items suitable for longitudinal comparison• values clarity, purpose, and meaning-related measures• trust in information environments and reliance on automated or intelligent systems• digital exposure variables (hours online, AI tool usage frequency)• demographic variables across six English-speaking countries

Data were collected via Prolific from adults (18+) in the United Kingdom, United States, Australia, Canada, New Zealand, and Ireland. Participants provided explicit consent for anonymised open publication.

All data were cleaned, anonymised, and processed under the Human Clarity Institute’s machine-readable dataset protocol, including:• canonical snake_case variable naming• validated numeric value ranges• standardised categorical encodings• removal of duplicate submissions• removal of all identifiers and timestamps• full alignment with the accompanying data dictionary• cryptographic checksums for file integrity

This dataset is intended to be updated through repeated data collection waves using a consistent core of measures. Each update is released as a new dataset version while retaining a stable canonical identity, enabling longitudinal analysis and comparison across time.

The Human Experience Baseline underpins a broader library of topical datasets published by the Human Clarity Institute, allowing specific human–AI interaction phenomena to be interpreted relative to an established reference baseline rather than as isolated snapshots.
DOI: 10.17632/4s2grsb6xx
title: Analysis of the Temperature Variability in the Arctic Middle Atmosphere over the years 2018-2022 focussing on the Two SSW events in 2018-19 and 2020-21 Winters

description: This dataset supports the article "Analysis of the Temperature Variability in the Arctic Middle Atmosphere over the years 2018-2022 focussing on the Two SSW events in 2018-19 and 2020-21 Winters" (submitted to Earth and Space Science). The data are provided in .qda format and you will require Kaleidagraph to open the files. You can also convert the qda files into excel files using QDA miner.
DOI: 10.17632/4s2grsb6xx.1
title: Analysis of the Temperature Variability in the Arctic Middle Atmosphere over the years 2018-2022 focussing on the Two SSW events in 2018-19 and 2020-21 Winters

description: This dataset supports the article "Analysis of the Temperature Variability in the Arctic Middle Atmosphere over the years 2018-2022 focussing on the Two SSW events in 2018-19 and 2020-21 Winters" (submitted to Earth and Space Science). The data are provided in .qda format and you will require Kaleidagraph to open the files. You can also convert the qda files into excel files using QDA miner.
DOI: 10.17632/5k2ynddffd
title: Current patterns in the aetiology, clinical characteristics and surgical techniques deployed in urethral stricture repair in southeast Nigeria

description: A retrospective review of the medical records of patients who underwent one or more corrective procedures for urethral stricture in the University of Nigeria Teaching Hospital, Enugu, southeast Nigeria from 2010 to 2023.
Patients' age and demographics were noted. The aetiology of the stricture and other clinical characteristics of the strictures were also obtained from the records. The procedure(s) done and the years of practice of the surgeon were taken note of. The outcome of the procedure(s) was documented in terms peri-op complications, recurrence or no recurrence.
DOI: 10.17632/5k2ynddffd.1
title: Current patterns in the aetiology, clinical characteristics and surgical techniques deployed in urethral stricture repair in southeast Nigeria

description: A retrospective review of the medical records of patients who underwent one or more corrective procedures for urethral stricture in the University of Nigeria Teaching Hospital, Enugu, southeast Nigeria from 2010 to 2023.
Patients' age and demographics were noted. The aetiology of the stricture and other clinical characteristics of the strictures were also obtained from the records. The procedure(s) done and the years of practice of the surgeon were taken note of. The outcome of the procedure(s) was documented in terms peri-op complications, recurrence or no recurrence.
DOI: 10.17632/482sf7g98t.1
title: Bright_and_Green

description: This is the code creating the data for our
DOI: 10.17632/hg9ymt3px9.2
title: Genome-wide mapping of the Galleria mellonella transcription start sites during fungal infection and treatment

description: The catalog contains the data files for the article
DOI: 10.17632/n46hbnzhpy
title: TweetAMovie Dataset

description: TweetAMovie is a new dataset of movie ratings and temporal popularity from IMDb and Twitter. This dataset contains 6015 average ratings ranging from 1 to 9.4 on 6041 movies across 23 genres. Each movie belongs to at least one genre and at most three genres. We collected the most popular movie list for six weeks. In total, TweetAMovie includes 368726 English tweets composed of 4370 well-structured tweets and 364356 unstructured tweets. Our dataset comprises three files: MovieReg.csv, MovieTPop.csv, and Tweets.csv, which store movie regular features, the temporal popularity of movies, and tweets-related features. We adopted an IMDb identifier as a movie id to facilitate additional metadata enrichment.

** This dataset is associated with the research article: Alhijawi, Bushra, and Arafat Awajan. "Prediction of movie success using Twitter temporal mining." Proceedings of Sixth International Congress on Information and Communication Technology: ICICT 2021, London, Volume 1. Singapore: Springer Singapore, 2021.

** MovieReg.csv is collected from IMDb on 2/12/2019. This file contains information about movies, including Movie Id (tconst), Movie Title (primaryTitle), Release Year (releaseYear), Average Rating (rating), Number of Votes (numVotes), and Genres (genre).

** MovieTPop.csv stores the Top-100 popular movie data. We collected the Top-100 popular movie list, which is updated weekly from 2/12/2019 to 13/1/2020. Each row in this file, after the header row, represents one movie and has the following format: Movie Id (tconst), Top-100 Movie list on 2/12/2019 (p1), Top-100 Movie list on 16/12/2019 (p2), Top-100 Movie list on 23/12/2019 (p3), Top-100 Movie list on 30/12/2019 (p4)., Top-100 Movie list on 6/1/2020 (p5), and Top-100 Movie list on 13/1/2020 (p6).

** The data stored in Tweets.csv are collected from Twitter. TweetAMovie includes well-structured and unstructured tweets. The structured tweets were obtained by querying a series of regular expressions, including "I rated" and hashtag "#IMDb" (e.g., "I rated Fast & Furious Presents: Hobbs & Shaw (2019) 8/10 #IMDb"). The unstructured tweets are extracted by querying the movie title. We faced a challenge when the movie title contained words that could be interpreted in multiple ways, leading to unrelated tweets being retrieved. For example, for the movie "They Live", we obtained the tweet "they said this? IN 2020???? what universe do they live in???", which is unrelated to the movie. Therefore, we validated the tweet using IBM Watson Natural Language Understanding (IBM-W-NLU) service to extract its category, ensuring that the TweetAMovie dataset includes only movie-related tweets.
DOI: 10.17632/n46hbnzhpy.1
title: TweetAMovie Dataset

description: TweetAMovie is a new dataset of movie ratings and temporal popularity from IMDb and Twitter. This dataset contains 6015 average ratings ranging from 1 to 9.4 on 6041 movies across 23 genres. Each movie belongs to at least one genre and at most three genres. We collected the most popular movie list for six weeks. In total, TweetAMovie includes 368726 English tweets composed of 4370 well-structured tweets and 364356 unstructured tweets. Our dataset comprises three files: MovieReg.csv, MovieTPop.csv, and Tweets.csv, which store movie regular features, the temporal popularity of movies, and tweets-related features. We adopted an IMDb identifier as a movie id to facilitate additional metadata enrichment.

** This dataset is associated with the research article: Alhijawi, Bushra, and Arafat Awajan. "Prediction of movie success using Twitter temporal mining." Proceedings of Sixth International Congress on Information and Communication Technology: ICICT 2021, London, Volume 1. Singapore: Springer Singapore, 2021.

** MovieReg.csv is collected from IMDb on 2/12/2019. This file contains information about movies, including Movie Id (tconst), Movie Title (primaryTitle), Release Year (releaseYear), Average Rating (rating), Number of Votes (numVotes), and Genres (genre).

** MovieTPop.csv stores the Top-100 popular movie data. We collected the Top-100 popular movie list, which is updated weekly from 2/12/2019 to 13/1/2020. Each row in this file, after the header row, represents one movie and has the following format: Movie Id (tconst), Top-100 Movie list on 2/12/2019 (p1), Top-100 Movie list on 16/12/2019 (p2), Top-100 Movie list on 23/12/2019 (p3), Top-100 Movie list on 30/12/2019 (p4)., Top-100 Movie list on 6/1/2020 (p5), and Top-100 Movie list on 13/1/2020 (p6).

** The data stored in Tweets.csv are collected from Twitter. TweetAMovie includes well-structured and unstructured tweets. The structured tweets were obtained by querying a series of regular expressions, including "I rated" and hashtag "#IMDb" (e.g., "I rated Fast & Furious Presents: Hobbs & Shaw (2019) 8/10 #IMDb"). The unstructured tweets are extracted by querying the movie title. We faced a challenge when the movie title contained words that could be interpreted in multiple ways, leading to unrelated tweets being retrieved. For example, for the movie "They Live", we obtained the tweet "they said this? IN 2020???? what universe do they live in???", which is unrelated to the movie. Therefore, we validated the tweet using IBM Watson Natural Language Understanding (IBM-W-NLU) service to extract its category, ensuring that the TweetAMovie dataset includes only movie-related tweets.
DOI: 10.17632/c62pbf7vsk
title: In vitro anti-HIV-1 reverse transcriptase, cytotoxic activity, and tentative metabolite identification of Ziziphus mucronata Willd. bark and leaf extracts

description: Introduction: Ziziphus mucronata is widely used in African traditional medicine to manage conditions such as diarrhoea, cough, and wound-related ailments. Extracts from this plant have also shown potential antiviral and cytotoxic activities. This study thus evaluated the in vitro anticancer and anti-HIV potential of bark and leaf extracts of Z. mucronata and performed tentative identification of their bioactive metabolites. Cytotoxicity was assessed against the cervical cancer cell line ME180, and selectivity indices were calculated using non-cancerous human embryonic kidney cells (HEK293). Methods: Cytotoxic effects of the extracts were measured using the Alamar Blue assay, while anti-HIV activity was evaluated through inhibition of HIV-1 reverse transcriptase (RT). Apoptosis induction was examined via caspase-3/7 activity assays. Phytochemical profiling was performed using attenuated total reflection Fourier-transform infrared attenuated total reflectance (FTIR-ATR) spectroscopy and gas chromatography–mass spectrometry (GC-MS). Results: Both bark and leaf extracts showed moderate inhibition of HIV-1 RT, with IC50 values of 70 ± 0.23 µg/mL and 75 ± 0.39 µg/mL, respectively. Cytotoxicity against ME180 cells was favorable, with IC50 values of 31 ± 2.25 µg/mL (bark) and 28 ± 0.97 µg/mL (leaf). FTIR analysis indicated the presence of phenols, alkenes, alkanes, carboxylic acids, hydroxyls, alcohols, and aromatic compounds. GC-MS profiling identified 102 volatile compounds in leaf extracts and 16 in bark extracts. Conclusions: These findings suggest that Z. mucronata contains bioactive metabolites with preliminary in vitro anticancer and anti-HIV activity. Although results are limited to in vitro observations and tentative metabolite identification, they support further exploration of this plant as a potential source of lead compounds for integrative medicine research.