cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/59b5hfswfr
title: The code of core genes was screened by machine learning

description: RNA-Seq data of human colon cancer samples in TCGA database were used to further screen the core genes of PCDD/ FS-induced colon cancer.A total of 220 genes related to PCDD/ FS-induced colon cancer were screened by network toxicology.
DOI: 10.17632/59b5hfswfr.1
title: The code of core genes was screened by machine learning

description: RNA-Seq data of human colon cancer samples in TCGA database were used to further screen the core genes of PCDD/ FS-induced colon cancer.A total of 220 genes related to PCDD/ FS-induced colon cancer were screened by network toxicology.
DOI: 10.17632/9p3cmwbbdk
title: Biomass Burning Emissions from Fire Fronts

description: Each directory in this dataset contains remotely sensed chemical composition data of biomass burning plumes from the Creek Fire, which occurred in northern California in late 2020 (https://en.wikipedia.org/wiki/Creek_Fire, accessed 28 October 2025).

The field data were acquired with The Aerospace Corporation's Mako airborne longwave-infrared spectral imager (Buckland et al., 2017, https://doi.org/10.1016/j.rse.2017.09.012) on 28 October 2020.

The data files in each directory contain the following in ENVI-compatible format:

1. L2S: radiometrically calibrated at-sensor radiance (microflick) hypercube.
2. BTEMP: retrieved brightness temperature (deg C) map.
3. SAGE_tmap: t-statistic maps of detected gases.
4. SAGE_acd: retrieved column density (ppm-m) maps of detected gases.
DOI: 10.17632/9p3cmwbbdk.1
title: Biomass Burning Emissions from Fire Fronts

description: Each directory in this dataset contains remotely sensed chemical composition data of biomass burning plumes from the Creek Fire, which occurred in northern California in late 2020 (https://en.wikipedia.org/wiki/Creek_Fire, accessed 28 October 2025).

The field data were acquired with The Aerospace Corporation's Mako airborne longwave-infrared spectral imager (Buckland et al., 2017, https://doi.org/10.1016/j.rse.2017.09.012) on 28 October 2020.

The data files in each directory contain the following in ENVI-compatible format:

1. L2S: radiometrically calibrated at-sensor radiance (microflick) hypercube.
2. BTEMP: retrieved brightness temperature (deg C) map.
3. SAGE_tmap: t-statistic maps of detected gases.
4. SAGE_acd: retrieved column density (ppm-m) maps of detected gases.
DOI: 10.17632/zffbjv2s9c
title: Video associated with “Spontaneous rupture of renal angiomyolipoma with characteristic skin findings

description: Before and after selective arterial embolization of the ruptured renal angiomyolipoma (AML) on digital subtraction angiography (DSA).
Video 1: The pre-embolization image shows active contrast extravasation from the feeding artery of the AML 
Video 2: Post-embolization imaging demonstrates complete occlusion of the feeding vessel with no further contrast leakage
DOI: 10.17632/zffbjv2s9c.1
title: Video associated with “Spontaneous rupture of renal angiomyolipoma with characteristic skin findings

description: Before and after selective arterial embolization of the ruptured renal angiomyolipoma (AML) on digital subtraction angiography (DSA).
Video 1: The pre-embolization image shows active contrast extravasation from the feeding artery of the AML 
Video 2: Post-embolization imaging demonstrates complete occlusion of the feeding vessel with no further contrast leakage
DOI: 10.17632/s8trv3x7gw
title: Digital Vertebrate

description: This code can generate digital vertebrate, and it is an example of the results in Figure 2A (case 8).
DOI: 10.17632/s8trv3x7gw.1
title: Digital Vertebrate

description: This code can generate digital vertebrate, and it is an example of the results in Figure 2A (case 8).
DOI: 10.17632/jzgnjsff9f.3
title: EmoTweetID: Indonesian Emotion Tweet Dataset

description: The EmoTweetID dataset is a publicly available resource of Indonesian tweets collected from X (formerly Twitter) using emotion-related keywords. 

The dataset consists of three main components:
1. EmoTweetID-Corpus.csv: 3,126,987 unlabeled tweets for unsupervised tasks such as word embedding construction.
2. EmoTweetID-Lexicon.csv: 2,243 tweets automatically annotated using the Indonesian NRC EmoLex.
3. EmoTweetID-Human.csv: 2,243 tweets manually annotated by three psychology students, with inter-annotator agreement measured using Cohen’s and Fleiss’ Kappa.

Both annotated files (EmoTweetID-Lexicon.csv and EmoTweetID-Human.csv) provide labels following Ekman’s six basic emotions: anger, disgust, fear, joy, sadness, and surprise.

Additionally, two pre-trained word embedding models (Wors2Vec and FastText) trained on the corpus, TweetID-Word2Vec.zip and TweetID-FastText.zip, are provided for various downstream NLP tasks.

This dataset offers a valuable benchmark for affective computing and natural language processing in Indonesian, supporting research in emotion recognition, social media analysis, and the development of empathetic AI systems.
DOI: 10.17866/rd.salford.30136492
title: 2. <i>Oden</i> - Research Timeline

description: This research timeline outlines the chronology of the research project; <i>Oden: Composing with the Landscape - Strategies for Achieving Integration, </i><i>Multimodal Perception, Intimacy, and Immersion.</i>
DOI: 10.17866/rd.salford.30136492.v1
title: 2. <i>Oden</i> - Research Timeline

description: This research timeline outlines the chronology of the research project; <i>Oden: Composing with the Landscape - Strategies for Achieving Integration, </i><i>Multimodal Perception, Intimacy, and Immersion.</i>
DOI: 10.15468/dl.f3bj9x
title: Occurrence Download

description: A dataset containing 1131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aesculus carnea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1131 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006761-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/r6jff5bjkh
title: Leveraging Pseudo-haptic Interaction to Enhance User Experience: A Case of Interactive Aerial Displays

description: 1. Research Hypotheses:
This dataset was collected to test the hypothesis that pseudo-haptic visual feedback (specifically, Press, Hit, and Block effects) can effectively compensate for the lack of tactile feedback in interactive aerial displays, thereby significantly enhancing the subjective user experience and interaction performance.

2. Data Content and Collection:
The data originates from a within-subjects laboratory experiment (N=23). Participants interacted with eight different mid-air button designs, which were combinations of three binary pseudo-haptic features (Press: On/Off, Hit: On/Off, Block: On/Off). The dataset includes:

Demographics: Age and gender of participants.

Subjective Ratings: Participant responses on a 7-point Likert scale across four dimensions: Perception of Haptic Feedback, Naturalness of Interaction Logic, Visual-Spatial Immersion, and Spatio-Temporal Perception Accuracy.

User Experience Metrics: Scores from the short version of the User Experience Questionnaire (UEQ-S), measuring Pragmatic Quality and Hedonic Quality.

Preference Data: Participants' stated preferences for the different pseudo-haptic features and their most favored button design.

3. Key Findings and Interpretation:

The Press effect had the largest positive main effect, significantly improving all measured aspects of user experience. It is interpreted as the foundational element for simulating physicality.

The Hit effect significantly boosted immersion and hedonic quality, functioning as a strong operational confirmation signal.

The Block effect enhanced the haptic illusion but negatively impacted spatial perception accuracy, indicating a trade-off between realism and spatial clarity.

A significant three-way interaction confirmed that the combination of all three effects (Press+Hit+Block) yielded the optimal overall user experience.

4. Reuse and Interpretation:
This dataset is suitable for researchers working in human-computer interaction, particularly in areas of pseudo-haptics, mid-air interaction, and user experience evaluation. It can be used for meta-analysis, to validate computational models of user experience, or for educational purposes. The primary file (primary_data.csv) contains the raw scores, and the codebook.pdf provides a detailed description of all variables, their scales, and the experimental design for accurate interpretation. Statistical analysis should employ repeated-measures ANOVA to account for the within-subjects design.
DOI: 10.17632/r6jff5bjkh.1
title: Leveraging Pseudo-haptic Interaction to Enhance User Experience: A Case of Interactive Aerial Displays

description: 1. Research Hypotheses:
This dataset was collected to test the hypothesis that pseudo-haptic visual feedback (specifically, Press, Hit, and Block effects) can effectively compensate for the lack of tactile feedback in interactive aerial displays, thereby significantly enhancing the subjective user experience and interaction performance.

2. Data Content and Collection:
The data originates from a within-subjects laboratory experiment (N=23). Participants interacted with eight different mid-air button designs, which were combinations of three binary pseudo-haptic features (Press: On/Off, Hit: On/Off, Block: On/Off). The dataset includes:

Demographics: Age and gender of participants.

Subjective Ratings: Participant responses on a 7-point Likert scale across four dimensions: Perception of Haptic Feedback, Naturalness of Interaction Logic, Visual-Spatial Immersion, and Spatio-Temporal Perception Accuracy.

User Experience Metrics: Scores from the short version of the User Experience Questionnaire (UEQ-S), measuring Pragmatic Quality and Hedonic Quality.

Preference Data: Participants' stated preferences for the different pseudo-haptic features and their most favored button design.

3. Key Findings and Interpretation:

The Press effect had the largest positive main effect, significantly improving all measured aspects of user experience. It is interpreted as the foundational element for simulating physicality.

The Hit effect significantly boosted immersion and hedonic quality, functioning as a strong operational confirmation signal.

The Block effect enhanced the haptic illusion but negatively impacted spatial perception accuracy, indicating a trade-off between realism and spatial clarity.

A significant three-way interaction confirmed that the combination of all three effects (Press+Hit+Block) yielded the optimal overall user experience.

4. Reuse and Interpretation:
This dataset is suitable for researchers working in human-computer interaction, particularly in areas of pseudo-haptics, mid-air interaction, and user experience evaluation. It can be used for meta-analysis, to validate computational models of user experience, or for educational purposes. The primary file (primary_data.csv) contains the raw scores, and the codebook.pdf provides a detailed description of all variables, their scales, and the experimental design for accurate interpretation. Statistical analysis should employ repeated-measures ANOVA to account for the within-subjects design.
DOI: 10.17632/smfbybvgfm
title: Data for paper "Separating food intake-dependent and -independent effects in cancer cachexia"

description: Cancer cachexia is characterized by involuntary weight loss and wasting of fat and muscle tissues, with diminished food intake due to anorexia commonly cited as a cause. However, to what extent reduced food intake drives these symptoms and other cachexia phenotypes, such as fatigue, remains generally unclear in preclinical models and patient populations. Here we demonstrate the critical need to address this question in cancer cachexia research. Using the colon carcinoma 26 (C26) mouse model, we assessed the role of food intake in key cachexia phenotypes. We found that reduced food intake was the predominant driver of body weight loss and wasting of fat and muscle, suggesting no additional causal mechanisms. In contrast, food intake reduction did not affect physical performance, indicating food intake-independent factors in causing fatigue. Thus, depending on the model or patient group, reduced food intake may primarily drive some cachectic phenotypes while having no role in others. Discriminating between food intake-mediated effects and those independent of it is critical for guiding research focus and unraveling the causal pathways of cancer cachexia.
DOI: 10.17632/smfbybvgfm.1
title: Data for paper "Separating food intake-dependent and -independent effects in cancer cachexia"

description: Cancer cachexia is characterized by involuntary weight loss and wasting of fat and muscle tissues, with diminished food intake due to anorexia commonly cited as a cause. However, to what extent reduced food intake drives these symptoms and other cachexia phenotypes, such as fatigue, remains generally unclear in preclinical models and patient populations. Here we demonstrate the critical need to address this question in cancer cachexia research. Using the colon carcinoma 26 (C26) mouse model, we assessed the role of food intake in key cachexia phenotypes. We found that reduced food intake was the predominant driver of body weight loss and wasting of fat and muscle, suggesting no additional causal mechanisms. In contrast, food intake reduction did not affect physical performance, indicating food intake-independent factors in causing fatigue. Thus, depending on the model or patient group, reduced food intake may primarily drive some cachectic phenotypes while having no role in others. Discriminating between food intake-mediated effects and those independent of it is critical for guiding research focus and unraveling the causal pathways of cancer cachexia.
DOI: 10.17632/jc9ctpxfj5
title: Clinical outcomes of polidocanol sclerotherapy for sublingual ranula

description: This dataset includes anonymized clinical data from 34 patients with sublingual ranula treated by intralesional 3% polidocanol foam injection at Shanghai Ninth People’s Hospital between December 2021 and March 2025.
It contains demographic and clinical variables such as age, sex, lesion type, maximum diameter, symptom duration, number of injections, and treatment outcomes.
The data were collected for a retrospective study evaluating the efficacy and safety of polidocanol sclerotherapy for sublingual ranula.
All records were de-identified before sharing, and ethical approval was obtained (Approval No. SH9H-2024-T203-2).
DOI: 10.17632/jc9ctpxfj5.1
title: Clinical outcomes of polidocanol sclerotherapy for sublingual ranula

description: This dataset includes anonymized clinical data from 34 patients with sublingual ranula treated by intralesional 3% polidocanol foam injection at Shanghai Ninth People’s Hospital between December 2021 and March 2025.
It contains demographic and clinical variables such as age, sex, lesion type, maximum diameter, symptom duration, number of injections, and treatment outcomes.
The data were collected for a retrospective study evaluating the efficacy and safety of polidocanol sclerotherapy for sublingual ranula.
All records were de-identified before sharing, and ethical approval was obtained (Approval No. SH9H-2024-T203-2).
DOI: 10.17632/9b6fys2gc9
title: GreenTaxAwareness_Dataset

description: Title: Dataset of Green Tax Awareness and Sustainable Consumption among Indonesian Gen Z
Authors: Ismet Ismatullah, Risma Nurmilah, Venita Sofiani, Reni Anggriani, Rinaldi
Description: 
This dataset contains responses from 300 Indonesian Gen Z respondents collected in 2025. 
It measures four constructs: Green Tax Awareness (GTA), Environmental Concern (EC), 
Eco-friendly Purchase Intention (EPI), and Sustainable Consumption Behavior (SCB).

Software: RStudio (v2024.12), seminr package (v2.3.6)
License: CC-BY 4.0
Corresponding Author: ismet.ismatullah@ummi.ac.id
DOI: 10.17632/9b6fys2gc9.1
title: GreenTaxAwareness_Dataset

description: Title: Dataset of Green Tax Awareness and Sustainable Consumption among Indonesian Gen Z
Authors: Ismet Ismatullah, Risma Nurmilah, Venita Sofiani, Reni Anggriani, Rinaldi
Description: 
This dataset contains responses from 300 Indonesian Gen Z respondents collected in 2025. 
It measures four constructs: Green Tax Awareness (GTA), Environmental Concern (EC), 
Eco-friendly Purchase Intention (EPI), and Sustainable Consumption Behavior (SCB).

Software: RStudio (v2024.12), seminr package (v2.3.6)
License: CC-BY 4.0
Corresponding Author: ismet.ismatullah@ummi.ac.id
DOI: 10.15468/dl.cj6fth
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Phyllomedusa sauvagii"
 ]
}

 The dataset includes 511 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006760-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t52wyu
title: Occurrence Download

description: A dataset containing 33950 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Lycorma delicatula",
 "Year 2014-2024"
 ]
}

 The dataset includes 33950 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006759-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/76twwydc4p
title: connectivity&vulnerability

description: The code for connectivity changes under the two attack modes and The code for vulnerability changes under the two attack modes.
DOI: 10.17632/76twwydc4p.1
title: connectivity&vulnerability

description: The code for connectivity changes under the two attack modes and The code for vulnerability changes under the two attack modes.
DOI: 10.17632/dtjnwxwc5g
title: Doctoral Theses Defended at the KGB Higher School

description: This database consists of bibliographic data extracted from sources analyzed within the scope of the authors' research project titled "Russian School of Intelligence Theory". The dataset contains the details of publications (e.g., theses, articles) related to the research subject of intelligence theory and science.

The data were compiled by manually scanning and identifying the bibliographic details (citations) of works referenced in the main texts and footnotes of the primary sources listed below. Publications not directly relevant to the research topic were excluded.

Each entry in the dataset includes the following fields: author information, title of the work, year of preparation, and the institutional affiliation (institution where the work was prepared/published).

Primary Data Sources:

- Issues 2, 7, 8, 9, 10, 11, 13, 14, 15, 16, 21, 23, 24, 25, 26, 27, 28-29, 30, 31, 36, 37-38, 39, 41-42, 43, 44, 45 of the journal "Труды Высшей Школы" (Trudy Vysshey Shkoly), publicly available in the Lithuanian Special Archives (Lietuvos ypatingasis archyvas).

- Textbooks and monographs publicly available in the Lithuanian Special Archives: “Английская Разведка” (British Intelligence), “Разведка Федеративной Республики Германии” (Intelligence of the Federal Republic of Germany), “Разведка США” (US Intelligence), “Литовские, латышские и эстонские буржуазные националисты” (Lithuanian, Latvian and Estonian Bourgeois Nationalists), “Беларусские буржуазные националисты” (Belarusian Bourgeois Nationalists), and “Украинские буржуазные националисты” (Ukrainian Bourgeois Nationalists).

- 29 lecture materials published by the "For Free Russia Foundation".
DOI: 10.17632/dtjnwxwc5g.1
title: Doctoral Theses Defended at the KGB Higher School

description: This database consists of bibliographic data extracted from sources analyzed within the scope of the authors' research project titled "Russian School of Intelligence Theory". The dataset contains the details of publications (e.g., theses, articles) related to the research subject of intelligence theory and science.

The data were compiled by manually scanning and identifying the bibliographic details (citations) of works referenced in the main texts and footnotes of the primary sources listed below. Publications not directly relevant to the research topic were excluded.

Each entry in the dataset includes the following fields: author information, title of the work, year of preparation, and the institutional affiliation (institution where the work was prepared/published).

Primary Data Sources:

- Issues 2, 7, 8, 9, 10, 11, 13, 14, 15, 16, 21, 23, 24, 25, 26, 27, 28-29, 30, 31, 36, 37-38, 39, 41-42, 43, 44, 45 of the journal "Труды Высшей Школы" (Trudy Vysshey Shkoly), publicly available in the Lithuanian Special Archives (Lietuvos ypatingasis archyvas).

- Textbooks and monographs publicly available in the Lithuanian Special Archives: “Английская Разведка” (British Intelligence), “Разведка Федеративной Республики Германии” (Intelligence of the Federal Republic of Germany), “Разведка США” (US Intelligence), “Литовские, латышские и эстонские буржуазные националисты” (Lithuanian, Latvian and Estonian Bourgeois Nationalists), “Беларусские буржуазные националисты” (Belarusian Bourgeois Nationalists), and “Украинские буржуазные националисты” (Ukrainian Bourgeois Nationalists).

- 29 lecture materials published by the "For Free Russia Foundation".
DOI: 10.17632/h9wtdgms8m
title: The Surabaya-Lamongan Groundwater Basin's Chemical-Physical, Statistics, and LULC Properties

description: Data of chemical, physical properties, & statistics of the Surabaya-Lamongan Groundwater Basin, Indonesia; Surface elevation of the Surabaya-Lamongan Groundwater Basin (SLGB) references from the National Digital Elevation Model (DEMNAS) provided by Badan Informasi Geospatial (BIG), covering sheets 1609-11; 1608-43,41; 1509-21,22,31,32; and 1508-51,52,53,61,62,63,64; Land Use Land Cover (LULC) based on Landsat 7 ETM+ and 8 OLI. Inaddition, these are pumping test data from 25 groundwater wells of 58 the total datasets on Surabaya-Lamongan Groundwater Basin (SLGB). The results of the pumping test indicated average values for transmissivity (T), storativity (S), and hydraulic conductivity (K) of 37.6 m²/d, 4.27, and 12.94 m/d, respectively. We choose Theis method to assess all the wells.
DOI: 10.17632/h9wtdgms8m.2
title: The Surabaya-Lamongan Groundwater Basin's Chemical-Physical, Statistics, and LULC Properties

description: Data of chemical, physical properties, & statistics of the Surabaya-Lamongan Groundwater Basin, Indonesia; Surface elevation of the Surabaya-Lamongan Groundwater Basin (SLGB) references from the National Digital Elevation Model (DEMNAS) provided by Badan Informasi Geospatial (BIG), covering sheets 1609-11; 1608-43,41; 1509-21,22,31,32; and 1508-51,52,53,61,62,63,64; Land Use Land Cover (LULC) based on Landsat 7 ETM+ and 8 OLI. Inaddition, these are pumping test data from 25 groundwater wells of 58 the total datasets on Surabaya-Lamongan Groundwater Basin (SLGB). The results of the pumping test indicated average values for transmissivity (T), storativity (S), and hydraulic conductivity (K) of 37.6 m²/d, 4.27, and 12.94 m/d, respectively. We choose Theis method to assess all the wells.