cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8316542
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Francis David Morice, http://www.wikidata.org/entity/Q5480693. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5480693
DOI: 10.5281/zenodo.8316543
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Francis David Morice, http://www.wikidata.org/entity/Q5480693. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5480693
DOI: 10.15468/dl.ytr9th
title: Occurrence Download

description: A dataset containing 1306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dichotomius agenor (Harold, 1869)"
 ]
}

 The dataset includes 1306 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008722-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p7u7g4
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Kinosternon alamosae Berry & Legler, 1980"
 ]
}

 The dataset includes 66 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008721-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14041785
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Günther Niethammer, http://www.wikidata.org/entity/Q113836. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q113836
DOI: 10.5281/zenodo.14041786
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Günther Niethammer, http://www.wikidata.org/entity/Q113836. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q113836
DOI: 10.5281/zenodo.14083647
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Günther Niethammer, http://www.wikidata.org/entity/Q113836. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q113836
DOI: 10.5281/zenodo.14064244
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Otto Schmiedeknecht, http://www.wikidata.org/entity/Q3357843. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q3357843
DOI: 10.5281/zenodo.14064245
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Otto Schmiedeknecht, http://www.wikidata.org/entity/Q3357843. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q3357843
DOI: 10.5281/zenodo.14083652
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Otto Schmiedeknecht, http://www.wikidata.org/entity/Q3357843. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q3357843
DOI: 10.15468/dl.5ejjay
title: Occurrence Download

description: A dataset listing the 82791 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 82791 records were derived from 1381 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008676-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14083680
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Sergey Paramonov, http://www.wikidata.org/entity/Q4417009. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q4417009
DOI: 10.5281/zenodo.8040990
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Sergey Paramonov, http://www.wikidata.org/entity/Q4417009. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q4417009
DOI: 10.17632/ssb55hxtkf.1
title: A Comparative Analysis of the Phillips Curve Relationship in Inflation Targeting Economies

description: This is a cross-country level data for inflation-targeting economies.
DOI: 10.17632/2v9j7vdctt.1
title: Real-world experience of spesolimab for generalized pustular psoriasis flares in adult patients: A multicenter retrospective study

description: Spesolimab is a novel interleukin-36 receptor inhibitor recently approved for treatment of generalized pustular psoriasis (GPP). While clinical trials have evaluated its efficacy and safety for this indication, real-world evidence (RWE) is sparse. Herein, we report real-world use of spesolimab in the clinical setting.
DOI: 10.17632/xfz2hhhnf5.1
title: Supplement for JAAD Manuscript: "Balancing Privacy and Responsibility: The Ethical Implications of Cryptocurrency in Dermatology"

description: Supplement for JAAD Manuscript: "Balancing Privacy and Responsibility: The Ethical Implications of Cryptocurrency in Dermatology"
DOI: 10.17632/zg7wbt8t2j.1
title: Social media fatigue and the circulation of fake news

description: We gathered information from 1550 respondents via an online survey, however we only used 1200 valid answers for analysis. The analysis was conducted using Smart PLS 3. We discovered that the main cause of social media tiredness is excessive usage of social media. System feature overload, social comparison, self-disclosure, and information overload are additional aspects linked to social media tiredness. Additionally, we discovered that distributing bogus news is directly impacted by social media weariness. Social media fatigue totally mediated the association between social comparison, self-disclosure, information overload, system feature overload, excessive social media use, and the spread of bogus news.
DOI: 10.17632/nc8v38j4jy.1
title: Texture profile analyzes and color measurement of fermented buttermilk available on the Polish market and their classification according to IDDSI

description: The data was obtained by analyzing dairy products – fermented buttermilk (natural and strawberry) available on the Polish market. Based on the manufacturer's data, the following information was entered: taste, fat content (including saturated fatty acids), carbohydrates (including sugars), protein, salt. The following texture parameters were instrumentally measured: firmness, consistency, cohesiveness, and work of cohesion. The color coordinates L, a*, b* and X, Y, Z were measured in the SPIN and SPEX system. On the basis of the L coordinates (lightness), a* and b*, the following were calculated: (WI) white index, (YI) yellowness index, (C) chroma, (BI) brownness index. IDDSI Flow Test: syringe flow test developed by the International Dysphagia Diet Standardization Initiative (IDDSI); Level 0 Thin (0–1 mL liquid remaining), Level 1 Slightly-Thick (1–4 mL), Level 2 Mildly Thick (4–8 mL) and Level 3, Moderately Thick (8–10 mL).
DOI: 10.17632/zsc2579chc.1
title: TikTok Tastemaking Together RV1

description: TikTok Tastemaking, Together: de-identified data
DOI: 10.17632/rvc6b2cg3c.1
title: Texture measurement of butter available on the Polish market

description: The data was obtained by analyzing butters available on the Polish market. Based on the manufacturer's data, the following information was entered: taste, ingredients, fat content (including saturated fatty acids), carbohydrates (including sugars), protein, salt. The following texture parameters were instrumentally measured: firmness, work of shear, work of penetrations, resistance to probe withdrawal.
DOI: 10.17632/2ktsr76452.1
title: Color measurement of butter available on the Polish market

description: The data was obtained by analyzing butters available on the Polish market. Based on the manufacturer's data, the following information was entered: taste, ingredients, fat content (including saturated fatty acids), carbohydrates (including sugars), protein, salt. The color coordinates L, a*, b* and X, Y, Z were measured in the SPIN and SPEX system. On the basis of the L coordinates (lightness), a* and b*, the following were calculated: (WI) white index, (YI) yellowness index, (C) chroma, (BI) brownness index.
DOI: 10.34740/kaggle/dsv/9877660
title: Asian Growth & Development
DOI: 10.17632/my98rsbftb.1
title: AI Automatation

description: Artificial Intelligence (AI) automation is revolutionizing industries by enhancing efficiency, productivity, and accuracy. This technology leverages advanced machine learning algorithms and neural networks to perform tasks traditionally done by humans, from data analysis to decision-making processes. AI automation systems can continuously learn and adapt, providing intelligent solutions that optimize operations and reduce human error. The integration of AI automation in various sectors, such as manufacturing, healthcare, finance, and customer service, is leading to significant advancements and a shift towards more innovative and streamlined workflows. This abstract delves into the core principles of AI automation, its applications, and its potential future impact on industry and society.
DOI: 10.17632/x3wgxmt63t.1
title: supplementary files

description: Nail plate crumbling is the most significant risk factor for severe psoriatic arthritis: A Chinese single-center retrospective study
DOI: 10.17632/56t7wxhmtt.1
title: Data for "Ethical orientation and choice context of mayoral candidates accused of corruption in Brazil: randomized experiment based on vignettes"

description: Why do voters vote for candidates known for corruption allegations? We herein suggest two possible explanations for it. First, the choice context affects voters’ risk assessment, since voting for a candidate considers other candidates because aversion to extreme alternatives can change their preferences. Second, the judgment, according to which, candidates’ features are relevant, is not impartial because previously defined preferences set the relevant ones. We also seek to assess such judgments from a moral perspective supported by the understanding that individuals presenting utilitarian ethical orientation substantiate their choices of candidates who deliver results for voters. In contrast, individuals accounting for a deontological orientation focus on means and principles. We designed a vignette experiment with 223 respondents who were randomly exposed to two different scenarios in order to assess such elements empirically: two candidates, one newcomer and one experienced candidate whose accounts were disapproved by the court of auditors; three candidates, the two previous candidates and one experienced candidate who was convicted of corruption. Based on the results, the presence of the most corrupt candidate significantly increased the probability of voters voting for the newcomer; thus, the stronger the utilitarian orientation, the greater the likelihood of voters voting for the experienced candidate, mainly when there is a more corrupt candidate in the race.
DOI: 10.17632/vf5s29p5mn.1
title: Biweekly Student Collaboration Network Dataset for Early Prediction of Success

description: This dataset consists of biweekly nominations from students in a collaborative learning environment, collected over a specified period. Students were asked to nominate up to five peers with whom they collaborated most during each two-week period. The dataset captures these peer nominations across multiple intervals, allowing for the construction of dynamic collaboration networks. This structure facilitates the calculation of network centrality metrics, which can be analyzed to identify predictive indicators of academic success. The dataset includes: 

 • Student Identifiers: Anonymized IDs and fakenames for each student.
 • Nomination Records: Each record includes the nominating student, the nominated peers (up to five), and the time interval of the nomination.
 • Temporal Data: Each nomination event is timestamped, allowing for the exploration of evolving collaboration patterns.

The dataset is designed for educational data mining, particularly in analyzing peer network structures within collaborative learning contexts. It serves as a resource for exploring predictive indicators of academic performance based on social interactions and network positions. Researchers can apply various network centrality measures to understand how early nomination patterns correlate with student outcomes, offering potential insights for interventions aimed at enhancing collaborative learning.
DOI: 10.17632/wyn7rh74tp.1
title: Diagnosis and Management of Subungual and Periungual Verruca: A Clinical Review

description: Supplemental Figure 1. Dermoscopy of periungual and subungual verruca of the toenail with black dots corresponding to vessels within the keratotic lesion.

Supplemental Figure 2. Histopathology of periungual verruca demonstrating hyperkeratosis, caps of parakeratosis and acanthosis with papillomatosis. The dermis shows dilated capillaries (H&E, 200x).

Supplemental Table 1. Differential diagnosis for nail unit verrucae.

Supplemental Table 2. Homeopathic therapies for nail unit verrucae.
DOI: 10.17632/fspx44mwfp.1
title: Image Dataset for Detection and classification of Diseases of Guava Fruits and Leaves

description: The Guava Disease Detection Dataset provides annotated images of guava fruits and leaves, covering both healthy and disease-affected samples. It includes 3432 original images (1119 of fruits and 2313 of leaves) and an augmented set totaling 20344 images. Disease types for fruits include anthracnose, scab, and styler end rot, while leaves exhibit anthracnose, canker, dot, and rust. This dataset supports the development of machine learning models for precise disease detection in guava crops, enabling early interventions and improved disease management in agriculture.
#Total Original Images: 3432 images (1119 fruits, 2313 leaves)
#Augmented Images: 20344 images (10145 fruits, 10199 leaves)

#Fruit Dataset:
Healthy: 470 images
Anthracnose: 263 images
Styler End Rot: 262 images
Scab: 119 images

#Leaf Dataset:
Healthy: 1498 images
Anthracnose: 237 images
Canker: 192 images
Dot: 219 images
Rust: 167 images

#Purpose: Enables the creation of machine learning models for early guava disease detection, promoting efficient disease management and reducing crop loss.
DOI: 10.17632/yvtn2gp8zg.1
title: Hog Plum Leaf Disease Detection Dataset

description: #Purpose: Enables early and accurate identification of Hog plum leaf diseases, aiding sustainable agriculture.
 
#Collection: Captured across multiple locations in Bangladesh with field surveys guided by experts.

#Original Dataset:
3782 images in .jpg format
Categorized into 'healthy' and 'not_healthy' (representing various disease symptoms)

#Augmented Dataset:
20000 images, created through flipping, scaling, and brightening to improve dataset robustness.

#Applications: Ideal for researchers and practitioners to advance machine learning models in agriculture, enhancing disease detection and crop management.
DOI: 10.15468/dl.v5nyzd
title: Occurrence Download

description: A dataset containing 1109 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aechmea recurvata (Klotzsch) L.B.Sm."
 ]
}

 The dataset includes 1109 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000949-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18434/mds2-3579
title: Measuring Microbial Community-Wide Antibiotic Resistance Propagation via Natural Transformation in the Human Gut Microbiome
DOI: 10.15468/dl.z36b9s
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Trochanteria Karsch, 1878)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000951-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ef48z4
title: Occurrence Download

description: A dataset containing 13091 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scaphyglottis Poepp. & Endl."
 ]
}

 The dataset includes 13091 records from 312 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000950-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ynkyvj
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is one of (Mexico, Guatemala)",
 "IucnRedListCategory is NE",
 "Month is one of (November, October, September)",
 "TaxonKey is Rossioglossum grande (Lindl.) Garay & G.C.Kenn."
 ]
}

 The dataset includes 47 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000952-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4z34jr
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cuba",
 "OccurrenceStatus is Present",
 "TaxonKey is Salicornia L."
 ]
}

 The dataset includes 90 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000953-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g4vmj3
title: Occurrence Download

description: A dataset containing 15870 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Formicarius rufipectus Salvin, 1866"
 ]
}

 The dataset includes 15870 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000955-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14048083
title: Productos electrónicos reacondicionados

description: El conjunto de datos extraído consiste en todos los artículos en venta que dispone el portal web de productos reacondicionados.Los campos incluidos en el dataset son los siguientes: 



Name → Nombre del producto

URL → url de la página donde se alojan los detalles del producto

Product ID → identificador del producto en la página web

Category → Tipo de producto

Price Now → Precio actual en la web

Price Before →  Precio del producto si no fuera reacondicionado

Brand → Marca del producto

Condition → Condición en la que se encuentra el producto reacondicionado

Storage → Almacenamiento de los dispositivos. No todos los productos tienen el campo storage

Extraction Date → Cuando se extrajeron los datos y se creó el dataset
DOI: 10.5281/zenodo.14048084
title: Productos electrónicos reacondicionados

description: El conjunto de datos extraído consiste en todos los artículos en venta que dispone el portal web de productos reacondicionados.Los campos incluidos en el dataset son los siguientes: 



Name → Nombre del producto

URL → url de la página donde se alojan los detalles del producto

Product ID → identificador del producto en la página web

Category → Tipo de producto

Price Now → Precio actual en la web

Price Before →  Precio del producto si no fuera reacondicionado

Brand → Marca del producto

Condition → Condición en la que se encuentra el producto reacondicionado

Storage → Almacenamiento de los dispositivos. No todos los productos tienen el campo storage

Extraction Date → Cuando se extrajeron los datos y se creó el dataset
DOI: 10.15468/dl.ypv5kx
title: Occurrence Download

description: A dataset containing 1692 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trichopodus trichopterus (Pallas, 1770)"
 ]
}

 The dataset includes 1692 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000956-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14015880
title: Aker-BP-Open-Research/DeepSee: DOI registry

description: This is a pre-release to secure a DOI through Zenodo.org
DOI: 10.15468/dl.d4edgs
title: Occurrence Download

description: A dataset containing 329169 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lolium arundinaceum (Schreb.) Darbysh."
 ]
}

 The dataset includes 329169 records from 2224 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000932-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tadtmp
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Symphyotrichum subulatum (Michx.) G.L.Nesom",
 "Year 1970-2025"
 ]
}

 The dataset includes 187 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007992-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.