cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.h2ysxj
title: Occurrence Download

description: A dataset containing 2439 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-106.56356 31.54179,-106.09101 30.84112,-103.16119 28.92926,-101.96406 29.6984,-100.76692 28.84651,-98.7499 26.0892,-97.83823 25.72838,-96.92656 25.76382,-96.37956 27.98792,-94.11863 29.52239,-93.93653 33.93481,-96.73398 34.58556,-99.38077 34.68119,-99.68393 35.30217,-99.88483 37.65606,-101.86609 37.62609,-102.57109 37.54628,-103.60223 37.49629,-103.54272 36.54912,-103.19269 33.53351,-107.03611 33.89454,-106.56356 31.54179))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Micrurus tener Baird & Girard, 1853"
 ]
}

 The dataset includes 2439 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000306-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wcgfc8xydv.2
title: Supplementary Materials For:Development and Characterisation of Three-Dimensional (3D) Cell Culture Models of Adrenocortical Carcinoma, Feely et al., 2024

description: Supplementary Materials
DOI: 10.15468/dl.c762ab
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Blennothrix cantharidosma (Gomont ex Gomont) Anagnostidis & Komárek, 1988"
 ]
}

 The dataset includes 75 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000307-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hhxdstgcnp.1
title: Supplemental Materials for JAAD Refusal of Surgery in Melanoma

description: Supplemental materials for the following JAAD manuscript: Refusal of Surgery Among Cutaneous Melanoma Patients: Clinical Predictors and Impacts on Melanoma-Specific Survival
DOI: 10.13026/h2nj-p344
title: Shareable Artificial Intelligence to Extract Cancer Outcomes from Electronic Health Records for Precision Oncology Research

description: Databases that link molecular data to clinical outcomes can inform precision
cancer research into novel prognostic and predictive biomarkers. However,
outside of clinical trials, cancer outcomes are typically recorded only in
text form within electronic health records (EHRs). Artificial intelligence
(AI) models have been trained to extract outcomes from individual EHRs.
However, patient privacy restrictions have historically precluded
dissemination of these models beyond the centers at which they were trained.
In this study, the vulnerability of text classification models trained
directly on protected health information to membership inference attacks was
confirmed. A teacher-student distillation approach was applied to develop
shareable models for annotating outcomes from imaging reports and medical
oncologist notes. 'Teacher' models trained on EHR data from Dana-Farber Cancer
Institute (DFCI) were used to label imaging reports and discharge summaries
from the Medical Information Mart for Intensive Care (MIMIC)-IV dataset.
'Student' models were trained to use these MIMIC documents to predict the
labels assigned by teacher models and sent to Memorial Sloan Kettering (MSK)
for evaluation. The student models exhibited high discrimination across
outcomes in both the DFCI and MSK test sets. These student models, "DFCI-
imaging-student" and "DFCI-medonc-student," are shared here.
DOI: 10.13026/mjv2-8h15
title: Shareable Artificial Intelligence to Extract Cancer Outcomes from Electronic Health Records for Precision Oncology Research

description: Databases that link molecular data to clinical outcomes can inform precision
cancer research into novel prognostic and predictive biomarkers. However,
outside of clinical trials, cancer outcomes are typically recorded only in
text form within electronic health records (EHRs). Artificial intelligence
(AI) models have been trained to extract outcomes from individual EHRs.
However, patient privacy restrictions have historically precluded
dissemination of these models beyond the centers at which they were trained.
In this study, the vulnerability of text classification models trained
directly on protected health information to membership inference attacks was
confirmed. A teacher-student distillation approach was applied to develop
shareable models for annotating outcomes from imaging reports and medical
oncologist notes. 'Teacher' models trained on EHR data from Dana-Farber Cancer
Institute (DFCI) were used to label imaging reports and discharge summaries
from the Medical Information Mart for Intensive Care (MIMIC)-IV dataset.
'Student' models were trained to use these MIMIC documents to predict the
labels assigned by teacher models and sent to Memorial Sloan Kettering (MSK)
for evaluation. The student models exhibited high discrimination across
outcomes in both the DFCI and MSK test sets. These student models, "DFCI-
imaging-student" and "DFCI-medonc-student," are shared here.
DOI: 10.15468/dl.duaxp8
title: Occurrence Download

description: A dataset containing 169808 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-97.41466 37.62285, -97.20539 37.62285, -97.20539 37.75543, -97.41466 37.75543, -97.41466 37.62285))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 169808 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000295-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25461061
title: Data from "Molecular-scale insights into the electrical double layer at oxide-electrolyte interfaces”

description: This dataset contains data relates to the publication "Molecular-scale insights into the electrical double layer at oxide-electrolyte interfaces", by Zhang et al., 2024. In this work, we employ ab initio-based machine learning potentials including long-range electrostatic interactions to perform large-scale atomistic simulations of the electrical double layer at the TiO<sub>2</sub>-electrolyte interface. This dataset contains the complete DFT training datasets and the deep potential models reported in the publication.
DOI: 10.6084/m9.figshare.25461061.v1
title: Data from "Molecular-scale insights into the electrical double layer at oxide-electrolyte interfaces”

description: This dataset contains data relates to the publication "Molecular-scale insights into the electrical double layer at oxide-electrolyte interfaces", by Zhang et al., 2024. In this work, we employ ab initio-based machine learning potentials including long-range electrostatic interactions to perform large-scale atomistic simulations of the electrical double layer at the TiO<sub>2</sub>-electrolyte interface. This dataset contains the complete DFT training datasets and the deep potential models reported in the publication.
DOI: 10.17632/hgyyx5dgfw.1
title: Analysis of the Influence of Trust and Service Quality on Customer Satisfaction in Using AI Chatbot as Customer Service Veronika

description: Research Hypothesis:

The hypothesis is that service quality and trust significantly influence customer satisfaction with Telkomsel’s Veronika chatbot. Key dimensions include reliability, responsiveness, and empathy in service quality, and trust based on the chatbot's ability, benevolence, and integrity.

Data and Data Collection:

Data for this study were collected from Generation Z users who have experience using Telkomsel’s Veronika chatbot. A structured questionnaire was administered to 240 respondents, 52.9% of whom were female and 47.1% male, with ages ranging from 18 to 22 years. The data collection occurred between May and June 2024, and the questionnaire was distributed via social media platforms such as Instagram, Line, and WhatsApp. Non-probability sampling methods, specifically purposive and quota sampling, were used to ensure that only those familiar with the chatbot were surveyed.

The questionnaire comprised 31 questions designed to assess three key variables: service quality, trust, and customer satisfaction. A five-point Likert scale, ranging from "Strongly Disagree" to "Strongly Agree," was employed for all questions. Service quality was evaluated using the SERVQUAL model, while trust was measured through dimensions of ability, benevolence, and integrity. Customer satisfaction was assessed using items adapted from the Customer Satisfaction Index (CSI).

Key Findings:

1.Service Quality:
 A significant positive impact on customer satisfaction was found (β = 0.496, p &lt; 0.001), with reliability and responsiveness being key factors. The highest loading (0.837) was on Veronika’s ability to provide alternative solutions.

2.Trust:
 Trust was also a significant predictor (β = 0.337, p &lt; 0.001), with confidentiality being the most important trust factor (outer loading = 0.835).

3.Customer Satisfaction:
 Satisfaction was strongly influenced by both service quality and trust, with outer loadings from 0.908 to 0.918, particularly in terms of the chatbot's clarity and communication effectiveness.

Data Interpretation:

Both service quality and trust are essential to customer satisfaction, with service quality being a stronger predictor. Users value reliability and responsiveness more than trust, though both are necessary for high satisfaction. The reliability of the questionnaire was confirmed with high Cronbach’s alpha values, such as 0.938 for service quality.

Conclusion and Implications:

Improving service quality, especially reliability and responsiveness, will enhance user satisfaction. Strengthening trust, particularly in data security, is also crucial. Future research should explore broader demographics and long-term effects, while qualitative studies could offer more insights into user experiences.
DOI: 10.15468/dl.2vw469
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anolis casildae Arosemena, Ibáñez & De Sousa, 1991"
 ]
}

 The dataset includes 21 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000309-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jhkb844s2k.1
title: Experimental investigation on the thermophysical properties and solidification characteristics of n-octadecane in a spherical capsule

description: The raw data from all experimental tests and numerical simulations in the paper are labeled with file names corresponding to the figure numbers in the manuscript. All data can be viewed and edited using Excel.
DOI: 10.17632/nyjfxd4c59.1
title: Mass Spectrometry result of sEV and exomeres

description: This dataset contains the mass spectrometry result of sEV and exomeres samples of the following cells:
(Human) MIHA, THLE-2, HLE, PLC/PRF/5, Hep3B, Huh7, MHCC97L, MHCC97H, MHCCLM3
(Murine) BNL.CL.2, Hepa1-6, 1753 c-myc, 1753 Ras
DOI: 10.15468/dl.mrkcjf
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Colección de Mamíferos del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-M)",
 "TaxonKey is Thomasomys dispar Anthony, 1925"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000308-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fh6ws758cf.1
title: Using sno-lncRNAs as potential markers for Prader-Willi syndrome diagnosis

description: The genetic disorder Prader-Willi syndrome (PWS) is mainly caused by the loss of multiple paternally expressed genes in chromosome 15q11-q13 (the PWS region). Early diagnosis of PWS is essential for timely treatment, leading to effectively easing some clinical symptoms. Molecular approaches for PWS diagnosis at the DNA level are available, but the diagnosis of PWS at the RNA level has been limited. Here, we show that a cluster of paternally transcribed snoRNA-ended long noncoding RNAs (sno-lncRNAs, sno-lncRNA1–5) derived from the SNORD116 locus in the PWS region can serve as diagnostic markers. In particular, quantification analysis has revealed that 6,000 copies of sno-lncRNA3 are present in 1 μL whole blood samples from non-PWS individuals. sno-lncRNA3 is absent in all examined whole blood samples of 8 PWS individuals compared to 42 non-PWS individuals and dried blood samples of 35 PWS individuals compared to 24 non-PWS individuals. Further developing a new CRISPR-MhdCas13c system for RNA detection with a sensitivity of 10 molecules per μL has ensured sno-lncRNA3 detection in non-PWS, but not PWS individuals. Together, we suggest that the absence of sno-lncRNA3 represents a potential marker for PWS diagnosis that can be detected by both RT-qPCR and CRISPR-MhdCas13c systems with only microlitre amount of blood samples. Such an RNA-based sensitive and convenient approach may facilitate the early detection of PWS.
DOI: 10.17632/vzwgpxw2w9.1
title: Base de datos

description: Base de datos para publicación de articulo
DOI: 10.17632/79g68dyxd3.2
title: Strategic Implications of Consumer Preferences on Product Development: A Conjoint Analysis of the We Need Tea Market in Indonesia Data

description: Strategic Implications of Consumer Preferences on Product Development: A Conjoint Analysis of the We Need Tea Market in Indonesia
DOI: 10.17632/d3v7h8d9vg.2
title: Optimizing Product Offerings: A Conjoint Analysis of Tofu Attributes and Consumer Preferences for Market Success Data

description: Optimizing Product Offerings: A Conjoint Analysis of Tofu Attributes and Consumer Preferences for Market Success Data
DOI: 10.15468/dl.29yn2b
title: Occurrence Download

description: A dataset containing 360 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Blennothrix glutinosa (Gomont ex Gomont) Anagn. & Komárek"
 ]
}

 The dataset includes 360 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000311-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pgrwgzpfzv.1
title: Archaeozoological materials from the Sintashta culture settlements of Sintashta and Arkaim

description: The datasets contain primary and analytical data obtained during the repeated study of the materials of the Sintashta and Arkaim settlements of the Sintashta archaeological culture of the Bronze Age in the steppe zone of the Southern Urals.
The datasets contain a list of pathological changes on the bones of cattle, the size of the bones of cattle, data on the age of cattle based on the degree of wear of teeth and X-ray of metapodia.

The datasets are public and anyone can use them in their work

Датасеты содержат первичные и аналитические данные, полученные в ходе повторного исследования материалов поселений Синташта и Аркаим синташтинской археологической кульутры бронзового века степной зоны Южного Урала.
Датасеты содержат список патологических изменений на костях скота, размеры костей скота, данные по возрасту скота на основании степени стертости зубов и рентгена метаподий.

Данные датасетов публичны и любой может их использовать в своей работе
DOI: 10.17632/z6xd3dnf7n.1
title: Raw data for "SLUGS HIDE IN THE DARK: ARTIFICIAL LIGHT AT NIGHT ALTERS FITNESS AND ACTIVITY OF DOMINANT HERBIVORES WITH CONSEQUENCES FOR ECOSYSTEM FUNCTIONING"

description: Raw data associated with the manuscript within the title (submission in progress).
DOI: 10.17632/9xz6ptgbjz.1
title: Design Data for a Mineral Carbonate Plant using Reject Brine and Carbon Dioxide

description: Mineral carbonates are produced when carbon dioxide reacts with minerals, especially those rich in calcium and magnesium. Although this process can occur naturally, it can be used as a carbon dioxide reduction strategy if reject brine is reacted with carbon dioxide.

This dataset is affiliated with the design of a mineral carbonate plant using reject brine and carbon dioxide which are both produced in the Point Lisas Industrial Estate, in Trinidad and Tobago and is part of the study entitled titled “Filtering ‘3-2’ industrial symbiosis networks at a carbon-intensive cluster in a small island developing state to reuse CO2 and water” (https://doi.org/10.1016/j.cherd.2024.10.023). This data was obtained from simulation and calculations which were guided by the availability of the raw materials and the market demand.

This data can further be used in exploring carbon dioxide utilisation strategies, supply chain development and can be potentially used to achieve greater sustainable development in the process industry.
DOI: 10.17632/chww3p8vw4.1
title: आंबेडकरी गीतांमधील प्रतिमा, उपमा आणि दृष्टांत

description: आंबेडकरी गीते चातुर्वण्र्यव्यवस्थेविरुद्ध विद्रोह आणि नव्या बुद्ध-आंबेडकरवादी विचारांचा आग्रह धरतात. त्या अर्थाने या गीतांचे स्वरूप वक्तृत्वपूर्ण आणि प्रचारकीय ठरते. गीतलेखनाचा हेतू स्पष्ट असल्यामुळे त्यांना पारंपरिक वाङ्मयीन निकष लावता येत नसले तरी काही रचना निश्चितपणे काव्यात्मकतेच्या कसोट्यांवर खNया उतरतात. विचारदर्शन हा आंबेडकरी गीतांचा पाया असल्यामुळे येथे रंजनमूल्य दुय्यम ठरते...
DOI: 10.15468/dl.qj3tmq
title: Occurrence Download

description: A dataset containing 9455 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bouteloua gracilis (Kunth) Lag. ex Griffiths"
 ]
}

 The dataset includes 9455 records from 206 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000314-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.34e6x8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Blennothrix komarekii Branco & Montejano"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000315-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c4d8yn75my.1
title: Hierarchical Cluster Analysis and Node Centrality Scores for Industrial Symbiosis Network models of Point Lisas Industrial Estate

description: This dataset contains processed experimental simulation data supporting the results of the unfunded study titled “Filtering ‘3-2’ Industrial Symbiosis Networks at a Carbon-Intensive Cluster in a Small Island Developing State to Reuse CO2 and Water”. The data was processed using the algorithms and software described in the Methods section of that study (https://doi.org/10.1016/j.cherd.2024.10.023).

To investigate the industrial symbiosis (IS) for combined carbon dioxide utilization and water reuse on the Point Lisas Industrial Estate (PLIE), enterprise input-output MILP models of a representative IS network were developed. Discarded water streams with multiple contamination levels and high-purity process CO2 from ammonia processes were selected as materials to be reused in: existing petrochemical plants, a mineral carbonate factory and a propylene carbonate plant. The relative locations of these plants is reported. 

Firstly, exploratory hierarchical cluster analysis (HCA) was performed to discover summary knowledge of the chosen cluster model (e.g. the likely number of subclusters) with the Python library, SciPy using agglomerative clustering. The cophenetic correlation coefficient and dendrograms from the HCA with different linkage functions are reported.

Then economic and environmental objectives were set for each material. Combining economic objectives left a tri-objective problem, which was resolved with ε-constraint optimization and multi-criteria decision-making methods, for two different scenarios - with and without the mineral carbonate and propylene carbonate plants. Graph and network algorithm functions in MATLAB® (ver. R2021a) were used to create network graphs from weighted and directed adjacency matrices, which contained the magnitude and direction of inter-plant flows, and then calculate network metrics that characterize structural attributes, in particular five centrality indices: degree, closeness, betweenness, 'hubs' and 'authorities' were calculated using MATLAB’s centrality function. Along with network connectance, the 'in' and 'out' degree, 'in' and 'out' closeness, betweenness, Kleinberg's 'hub' and 'authority' centrality scores are reported for the individual and combined networks for both scenarios.
DOI: 10.17632/s2bz6n3cng.1
title: Low-pass filter and cycle averaging for SCR transient data

description: This code has been developed to filter transient data froma a H2-SCR obtaining the filtered cycle averaged response. This code can be adapted to any cyclic SCR response, but it is important to update the number of non-basic harmonics between two basic harmonics inside the code.
DOI: 10.17632/c4d8yn75my.2
title: Hierarchical Cluster Analysis and Node Centrality Scores for Industrial Symbiosis Network models of Point Lisas Industrial Estate

description: This dataset contains processed experimental simulation data supporting the results of the unfunded study titled “Filtering ‘3-2’ Industrial Symbiosis Networks at a Carbon-Intensive Cluster in a Small Island Developing State to Reuse CO2 and Water”. The data was processed using the algorithms and software described in the Methods section of that study (https://doi.org/10.1016/j.cherd.2024.10.023).

To investigate the industrial symbiosis (IS) for combined carbon dioxide utilization and water reuse on the Point Lisas Industrial Estate (PLIE), enterprise input-output MILP models of a representative IS network were developed. Discarded water streams with multiple contamination levels and high-purity process CO2 from ammonia processes were selected as materials to be reused in: existing petrochemical plants, a mineral carbonate factory and a propylene carbonate plant. The relative locations of these plants is reported. 

Firstly, exploratory hierarchical cluster analysis (HCA) was performed to discover summary knowledge of the chosen cluster model (e.g. the likely number of subclusters) with the Python library, SciPy using agglomerative clustering. The cophenetic correlation coefficient and dendrograms from the HCA with different linkage functions are reported.

Then economic and environmental objectives were set for each material. Combining economic objectives left a tri-objective problem, which was resolved with ε-constraint optimization and multi-criteria decision-making methods, for two different scenarios - with and without the mineral carbonate and propylene carbonate plants. Graph and network algorithm functions in MATLAB® (ver. R2021a) were used to create network graphs from weighted and directed adjacency matrices, which contained the magnitude and direction of inter-plant flows, and then calculate network metrics that characterize structural attributes, in particular five centrality indices: degree, closeness, betweenness, 'hubs' and 'authorities' were calculated using MATLAB’s centrality function. Along with network connectance, the 'in' and 'out' degree, 'in' and 'out' closeness, betweenness, Kleinberg's 'hub' and 'authority' centrality scores are reported for the individual and combined networks for both scenarios.
DOI: 10.17632/b449mc3zcd.1
title: Original Data about elemental geochemistry