cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/p2wr7z9v88.1
title: Dataset for Artificial Intelligence Disclosure and Financial Performance

description: inancial analysts use both financial and non-financial information to gain a reliable picture of companies’ performance, and the annual report is one of the main sources for the decision-making process of investors in the financial market (Araújo Júnior et al. 2014; Zhou et al. 2017). Therefore, this research is based on the analysis of 130 annual reports for all 15 Jordanian-listed banks from the period 2014–2022. Most of the annual reports are available as a PDF version for all Jordanian banks on their websites. The relevant words are searched, being those previously mentioned in the context analysis. The newly created keyword dataset based on the annual reports provides insights into the development of AI-related mentions.
DOI: 10.17632/rhnk95p4cd
title: 1:10 Scale Autonomous Driving Dataset for Lane Detection and Vehicle Control

description: This dataset was created to support research on lane detection for 1:10 scale autonomous vehicles (AutomoModelCar). It contains synchronized infrared image sequences and region-of-interest (ROI) annotations collected using an Intel RealSense D435 mounted on a scaled autonomous platform designed for the AutoModel Car and TMR2025 competition. The dataset includes raw 5024 mages, and approximately 4,056 ROI’s manually labeled (line vs. no-line). Each raw frame is timestamped and synchronized with vehicle telemetry CSV column steering, providing both visual and contextual driving information, steering value range from full left turn 1,000 up to 2,000 right turn, where 1,500 is the middle and the car is going straight.

The dataset was curated to simulate realistic small-scale driving scenarios, including variable illumination, shadows, faded lane markings, and curved tracks. It is intended for training and evaluating lightweight convolutional neural networks and other vision-based approaches for lane detection under strict computational constraints.
DOI: 10.5281/zenodo.17249603
title: Supporting Information for "Timescales of Asymmetries in Magnetospheric Dynamics Induced by the IMF By component"

description: This data file contains the event dates of the interplanetary magnetic field (IMF) turnings used in the manuscript "Timescales of Asymmetries in Magnetospheric Dynamics Induced by the IMF By component" (Journal of Geophysical Research: Space Physics).
DOI: 10.5281/zenodo.17249604
title: Supporting Information for "Timescales of Asymmetries in Magnetospheric Dynamics Induced by the IMF By component"

description: This data file contains the event dates of the interplanetary magnetic field (IMF) turnings used in the manuscript "Timescales of Asymmetries in Magnetospheric Dynamics Induced by the IMF By component" (Journal of Geophysical Research: Space Physics).
DOI: 10.17632/rhnk95p4cd.1
title: 1:10 Scale Autonomous Driving Dataset for Lane Detection and Vehicle Control

description: This dataset was created to support research on lane detection for 1:10 scale autonomous vehicles (AutomoModelCar). It contains synchronized infrared image sequences and region-of-interest (ROI) annotations collected using an Intel RealSense D435 mounted on a scaled autonomous platform designed for the AutoModel Car and TMR2025 competition. The dataset includes raw 5024 mages, and approximately 4,056 ROI’s manually labeled (line vs. no-line). Each raw frame is timestamped and synchronized with vehicle telemetry CSV column steering, providing both visual and contextual driving information, steering value range from full left turn 1,000 up to 2,000 right turn, where 1,500 is the middle and the car is going straight.

The dataset was curated to simulate realistic small-scale driving scenarios, including variable illumination, shadows, faded lane markings, and curved tracks. It is intended for training and evaluating lightweight convolutional neural networks and other vision-based approaches for lane detection under strict computational constraints.
DOI: 10.17632/p6wjy73n5x
title: Mohs Chatbot Instructions Supplementary Material

description: The study hypothesized that an interactive chatbot, programmed using the Landbot no-code platform, would improve patient understanding of postoperative care instructions after Mohs micrographic surgery (MMS) compared to standard written instructions. The chatbot was designed to deliver information via multiple-choice prompts and hardcoded if-then logic, potentially enhancing engagement and retention without relying on AI. The data consists of quantitative results from a randomized controlled study with 50 English-speaking adult MMS patients (≥18 years) at the Desai Sethi Medical Center, University of Miami. Participants were divided into two groups: 25 received standard written instructions (control), and 25 used the chatbot (intervention). Data was gathered post-surgery via a 10-question multiple-choice comprehension quiz testing knowledge of wound care, activity restrictions, infection prevention, and emergencies (scored as percentage correct) and secondary outcomes assessed with 0–100 sliders for ease of understanding, ease of use, satisfaction, confidence in wound care, and likelihood of contacting staff. Data collection followed IRB approval and informed consent. Instructions were authored by board-certified surgeons and mirrored in both formats. The chatbot used hardcoded flows based on uploaded instructions, with no patient data input to ensure ethical compliance. Supplementary materials include:
Comprehension Questionnaire: The 10 questions with answers and scoring rubric 
Chatbot Flow Diagram: Visual of the decision-tree structure. Use this to understand chatbot navigation.
Postoperative Instructions: Full text covering daily wound care (e.g., "Clean with gentle soap and water"), restrictions (e.g., "No swimming"), bruising/bleeding management, and infection signs. This is the content used in both written and chatbot formats. 
The chatbot group scored 72.0% on comprehension (vs. 64.4% control), but the difference was not statistically significant (p=0.10, unpaired t-test). Secondary outcomes favored the chatbot: ease of understanding (mean: 10.5/100, low difficulty), ease of use (12.24), satisfaction (77.3), confidence (82.4), and moderate clarification likelihood (50.0). No adverse events reported.
The data suggests chatbots are feasible for MMS education, maintaining comprehension while boosting satisfaction/confidence, potentially reducing non-emergent inquiries. Non-significance may stem from small sample size (n=50) or self-selection bias (tech-literate participants). Interpret p&gt;0.05 as inconclusive for superiority, but positive trends support chatbot supplements to written instructions.
DOI: 10.17632/p6wjy73n5x.1
title: Mohs Chatbot Instructions Supplementary Material

description: The study hypothesized that an interactive chatbot, programmed using the Landbot no-code platform, would improve patient understanding of postoperative care instructions after Mohs micrographic surgery (MMS) compared to standard written instructions. The chatbot was designed to deliver information via multiple-choice prompts and hardcoded if-then logic, potentially enhancing engagement and retention without relying on AI. The data consists of quantitative results from a randomized controlled study with 50 English-speaking adult MMS patients (≥18 years) at the Desai Sethi Medical Center, University of Miami. Participants were divided into two groups: 25 received standard written instructions (control), and 25 used the chatbot (intervention). Data was gathered post-surgery via a 10-question multiple-choice comprehension quiz testing knowledge of wound care, activity restrictions, infection prevention, and emergencies (scored as percentage correct) and secondary outcomes assessed with 0–100 sliders for ease of understanding, ease of use, satisfaction, confidence in wound care, and likelihood of contacting staff. Data collection followed IRB approval and informed consent. Instructions were authored by board-certified surgeons and mirrored in both formats. The chatbot used hardcoded flows based on uploaded instructions, with no patient data input to ensure ethical compliance. Supplementary materials include:
Comprehension Questionnaire: The 10 questions with answers and scoring rubric 
Chatbot Flow Diagram: Visual of the decision-tree structure. Use this to understand chatbot navigation.
Postoperative Instructions: Full text covering daily wound care (e.g., "Clean with gentle soap and water"), restrictions (e.g., "No swimming"), bruising/bleeding management, and infection signs. This is the content used in both written and chatbot formats. 
The chatbot group scored 72.0% on comprehension (vs. 64.4% control), but the difference was not statistically significant (p=0.10, unpaired t-test). Secondary outcomes favored the chatbot: ease of understanding (mean: 10.5/100, low difficulty), ease of use (12.24), satisfaction (77.3), confidence (82.4), and moderate clarification likelihood (50.0). No adverse events reported.
The data suggests chatbots are feasible for MMS education, maintaining comprehension while boosting satisfaction/confidence, potentially reducing non-emergent inquiries. Non-significance may stem from small sample size (n=50) or self-selection bias (tech-literate participants). Interpret p&gt;0.05 as inconclusive for superiority, but positive trends support chatbot supplements to written instructions.
DOI: 10.17632/5k6rp9myh9
title: Supplementary Material - Drug survival of adalimumab is superior to infliximab in pediatric patients with hidradenitis suppurativa

description: Supplementary figures depicting biologic survival in biologic naïve versus biologic non-naïve patients (1) and patients with pelvic HS disease versus no pelvic HS disease (2).

Supplementary tables depicting demographic Information for each biologic cohort (1), additional Cox proportional hazards regression analysis for our adalimumab cohort (2), and unadjusted Cox proportional hazards regression analysis for our infliximab cohort (3).
DOI: 10.17632/5k6rp9myh9.1
title: Supplementary Material - Drug survival of adalimumab is superior to infliximab in pediatric patients with hidradenitis suppurativa

description: Supplementary figures depicting biologic survival in biologic naïve versus biologic non-naïve patients (1) and patients with pelvic HS disease versus no pelvic HS disease (2).

Supplementary tables depicting demographic Information for each biologic cohort (1), additional Cox proportional hazards regression analysis for our adalimumab cohort (2), and unadjusted Cox proportional hazards regression analysis for our infliximab cohort (3).
DOI: 10.17632/yd84s35d73
title: A comprehensive image dataset of Bangladeshi cow breed identification

description: A comprehensive image dataset of various types of reknown cows in Bangladesh. This dataset contains a total of 263 HD image data in JPG,JPEG,PNG format. The cow breed is collected from different area in Bangladesh .There are 4 types of cows in this dataset which contains un-uniform numbers of image data:
1.Holstain Friesian (69 images)
2.Jersey (73 images)
3.Local Deshi (56 images)
4.Sahiwal (65 images)
Each of the variety images are unique and captured from various angle so that the cows size, shape and color can be recognize sharply during image processing. Also, the Dataset is in ZIP format where it contains root folder "Cow Breed.zip" which contains 4 sub folders for each breed of cow. Moreover, this dataset is a state-of-the-art cow breed dataset.
DOI: 10.17632/yd84s35d73.1
title: A comprehensive image dataset of Bangladeshi cow breed identification

description: A comprehensive image dataset of various types of reknown cows in Bangladesh. This dataset contains a total of 263 HD image data in JPG,JPEG,PNG format. The cow breed is collected from different area in Bangladesh .There are 4 types of cows in this dataset which contains un-uniform numbers of image data:
1.Holstain Friesian (69 images)
2.Jersey (73 images)
3.Local Deshi (56 images)
4.Sahiwal (65 images)
Each of the variety images are unique and captured from various angle so that the cows size, shape and color can be recognize sharply during image processing. Also, the Dataset is in ZIP format where it contains root folder "Cow Breed.zip" which contains 4 sub folders for each breed of cow. Moreover, this dataset is a state-of-the-art cow breed dataset.
DOI: 10.17632/6fmpd49y25
title: LINF_280008800

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/6fmpd49y25.1
title: LINF_280008800

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.26023/f93q-8x56-4j05
title: DC3: NASA DC-8 NRL BroadBand Radiometer (BBR) Data. Version 1.0

description: This data set contains NASA DC-8 NRL BroadBand Radiometer (BBR) Data collected during the Deep Convective Clouds and Chemistry Experiment (DC3) from 4 May 2012 through 22 June 2012. This data set is in ICARTT format. Please see the header portion of the data files for details on instruments, parameters, quality assurance, quality control, contact information, and data set comments.
DOI: 10.13140/rg.2.2.30256.42248
title: Ficha técnica AlProSos de fuentes de proteína regionales y sostenibles - Lechuga de mar
DOI: 10.17632/nx38rwmsgv
title: Reference-Dependent Matching Experiment Data

description: Reference-Dependent Matching Experiment Data
DOI: 10.17632/nx38rwmsgv.1
title: Reference-Dependent Matching Experiment Data

description: Reference-Dependent Matching Experiment Data
DOI: 10.17632/jnkgr3smvg
title: A multivariate approach reveals changes in the gene expression profile associated with skeletal muscle energy metabolism in early weaned Nellore calves

description: Supplementary Material 1. A) Tuning of the keepX parameter in sPLS-DA for weaning gene expression data. The plot shows the balanced error rate (BER, y-axis) as a function of the number of selected variables (x-axis). The blue line represents a single component, while the red line considers up to two components; B) Tuning of the number of components in sPLS-DA applied to weaning gene expression data. Classification performance was evaluated using OER and BER for each prediction distance type: max.dist (green), centroids.dist (lilac), and mahalanobis.dist (yellow).

Supplementary Material 2. A) Tuning of the keepX parameter in sPLS-DA for slaughter gene expression data. The plot shows the balanced error rate (BER, y-axis) as a function of the number of selected variables (x-axis). The blue line represents a single component, while the red line considers up to two components. B) Tuning of the number of components in sPLS-DA for gene expression data, used to evaluate sPLS-DA classification performance (OER and BER) for each prediction distance type: max.dist (blue), centroids.dist (orange), and mahalanobis.dist (gray) using slaughter data.

Supplementary Material 3. A) Cross-validation for the selection of two components, where the y-axis represents the model predictive coefficient (q²) and the x-axis represents the number of components. B) Evaluation of variable selection in sPLS using the correlation metric. Circle size represents the mean correlation, while color indicates the standard deviation (SD). Green squares mark the optimal keepX and keepY values for each component.
DOI: 10.17632/jnkgr3smvg.1
title: A multivariate approach reveals changes in the gene expression profile associated with skeletal muscle energy metabolism in early weaned Nellore calves

description: Supplementary Material 1. A) Tuning of the keepX parameter in sPLS-DA for weaning gene expression data. The plot shows the balanced error rate (BER, y-axis) as a function of the number of selected variables (x-axis). The blue line represents a single component, while the red line considers up to two components; B) Tuning of the number of components in sPLS-DA applied to weaning gene expression data. Classification performance was evaluated using OER and BER for each prediction distance type: max.dist (green), centroids.dist (lilac), and mahalanobis.dist (yellow).

Supplementary Material 2. A) Tuning of the keepX parameter in sPLS-DA for slaughter gene expression data. The plot shows the balanced error rate (BER, y-axis) as a function of the number of selected variables (x-axis). The blue line represents a single component, while the red line considers up to two components. B) Tuning of the number of components in sPLS-DA for gene expression data, used to evaluate sPLS-DA classification performance (OER and BER) for each prediction distance type: max.dist (blue), centroids.dist (orange), and mahalanobis.dist (gray) using slaughter data.

Supplementary Material 3. A) Cross-validation for the selection of two components, where the y-axis represents the model predictive coefficient (q²) and the x-axis represents the number of components. B) Evaluation of variable selection in sPLS using the correlation metric. Circle size represents the mean correlation, while color indicates the standard deviation (SD). Green squares mark the optimal keepX and keepY values for each component.
DOI: 10.17632/n6nhf84ryv
title: Lunar zircon Si+O isotope data

description: Si and O isotope data for Apollo 14 lunar zircon and compilation of lunar whole rock Si/O isotope data
DOI: 10.17632/n6nhf84ryv.2
title: Lunar zircon Si+O isotope data

description: Si and O isotope data for Apollo 14 lunar zircon and compilation of lunar whole rock Si/O isotope data
DOI: 10.34810/data2249
title: Internal Communication: An Assessment from Senior Management

description: Internal communication (IC) is increasingly vital in organizations for aligning teams, strengthening culture, and navigating change. This study explores IC's strategic contributions, key elements for achieving objectives, and future challenges. 
A qualitative methodology was used with a longitudinal LQL design, structured in two consecutive measurements carried out between May and December 2022, and February and June 2024. Data collection involved semi-structured interviews with management, conducted in person or via videoconference, with the aim of capturing changes in their narratives and assessments.
Purposive sampling (was used with a total of 24 participants (n1=11 in 2022 and n2=13 in 2024), mainly CEOs, from diverse sectors. The sample was diverse in age and gender: 83.3% were men and 16.7% were women, with a predominance of the 41-50 age group (41.7%), followed by the 51-60 age group (37.5%). Regarding positions, general directors (54.2%) and CEOs (20.8%) predominated, followed by other profiles such as managers (see sample details in the Appendix).
The instrument used was an interview guide, revised in each edition to incorporate emerging issues. The guide was structured into two sections: one focused on the role of IC within organizations, and the other on its impact on organizational culture and dynamics, including the role of senior management in its activation and management.
DOI: 10.17632/k59kb96955.1
title: Sentinel-1 SAR, Harmonized Landsat Sentinel (HLS) Optical, and auxiliary data

description: Analysis-ready data to train a machine learning algorithm to estimate optical vegetation indices using Sentinel-1 SAR dual polarization features and auxiliary data such as Accumulate Growing Degree Days (AGDD). This a a vector-based geographic data in a tabular format, with each row representing a crop field that has a geographic location attached to it, and the columns represents the attributes such as the SAR features of the crop polygons.
The column names for the SAR features are VV, VH, NRPB, Span, Ratio, RVI; NDVI and EVI for the optical vegetation indices; and AGDD, days-after-planting (DAP), and Digitial Elevation Model (DEM).
DOI: 10.17632/ww5rmmg3yg
title: NPV results

description: NPV Results
DOI: 10.17632/ww5rmmg3yg.1
title: NPV results

description: NPV Results
DOI: 10.17632/vs7gstbjzg
title: SSR results

description: SSR results
DOI: 10.17632/vs7gstbjzg.1
title: SSR results

description: SSR results
DOI: 10.17632/fjt929p5z8
title: Apatite as a tool to quantify the volatile budget of felsic magma reservoirs

description: Measured apatite major, trace, and volatile element compositions from the Western Adamello tonalite and Listino ring complex, Adamello batholith, Italy
DOI: 10.17632/fjt929p5z8.1
title: Apatite as a tool to quantify the volatile budget of felsic magma reservoirs

description: Measured apatite major, trace, and volatile element compositions from the Western Adamello tonalite and Listino ring complex, Adamello batholith, Italy
DOI: 10.3886/e208042
title: Data and Code for: Does Public Competition Crowd Out Private Investment? Evidence From Municipal Provision of Internet Access

description: Government
infrastructure investment may crowd out investment from private firms or induce
them to invest preemptively. The tension between these effects underlies the
policy debate over municipal provision of internet access. I estimate demand
for broadband and combine these results with a dynamic oligopoly model of
private and public firms' entry and investment decisions. I simulate a ban on
public entry and find that municipalities crowd out more private fiber-optic
investment than they induce through preemption. I estimate that this ban
decreases consumer surplus and municipal profits by $27 billion while
increasing private profits by $23 billion over 10 years.<br><br>Note: this upload provides data and code accompanying the article.
description: All U.S. Census blocks.
DOI: 10.3886/e208042v1
title: Data and Code for: Does Public Competition Crowd Out Private Investment? Evidence From Municipal Provision of Internet Access

description: Government
infrastructure investment may crowd out investment from private firms or induce
them to invest preemptively. The tension between these effects underlies the
policy debate over municipal provision of internet access. I estimate demand
for broadband and combine these results with a dynamic oligopoly model of
private and public firms' entry and investment decisions. I simulate a ban on
public entry and find that municipalities crowd out more private fiber-optic
investment than they induce through preemption. I estimate that this ban
decreases consumer surplus and municipal profits by $27 billion while
increasing private profits by $23 billion over 10 years.<br><br>Note: this upload provides data and code accompanying the article.
description: All U.S. Census blocks.
DOI: 10.15468/dl.z6xkz3
title: Occurrence Download

description: A dataset containing 3596 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Boletus edulis",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "Country is one of (Austria, Germany)",
 "BasisOfRecord is one of (Human Observation, Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than or equal to 2000"
 ]
}

 The dataset includes 3596 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053927-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.