cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/t7c2474vwy
title: Data for “Bulk rock and olivine chemistry and isotopes of 106-58 Ma basalts from Liaodong Peninsula and its adjacent areas: Implications for secular evolution of the big mantle wedge in eastern China” by Zhang C. et al.

description: This file includes Supplementary Tables S1 to S6 for the publication "Bulk rock and olivine chemistry and isotopes of 106-58 Ma basalts from Liaodong Peninsula and its adjacent areas: Implications for secular evolution of the big mantle wedge in eastern China" (submitted to Journal of Petrology in December 2023).
Table S1. Main characteristics of the 106-58 Ma basalts in Liaodong Peninsula and adjacent areas.
Table S2. Major and trace element composition of the LPAA basalts.
Table S3. Sr-Nd-Hf-Pb isotopic compositions for LPAA basalts. 
Table S4. Major element compositions for the olivine phenocrysts from the LPAA basalts analyzed by EMPA.
Table S5. The In Situ δ18O of olivine phenocryst in the LPAA basalts.
Table S6. Original reference from georock on Fig10b.
DOI: 10.6084/m9.figshare.26892673.v5
title: BNP Paribas PF Fraud dataset - Skrub adaptation

description: This is a re-upload from https://challengedata.ens.fr/challenges/104 for development convenience. The original dataset is under Etalab open license, allowing its free redistribution. The context below is from the original challenge.<br><br>Challenge context:<br>BNP Paribas Personal Finance is the leader in personal financing in France and in Europe through its consumer credit activity. A 100% subsidiary of the BNP Paribas Group, BNP Paribas Personal Finance gathers more than 20 000 employees and operates in some thirty countries. Under various brands like Cetelem, Cofinoga and Findomestic, BNP Paribas Personal Finance provides its clients with a complete range of consumer credit, available in stores and car dealership or directly through customer relationship centers and via the company’s local websites.BNP Paribas Personal Finance had developed an active strategy of support for retailers, carmakers and dealers, Web merchants, and various financial institutions (banking and insurance), based on its credit's market experience and its ability to offer services adapted to the activity and the commercial strategy of its business partners. It is also a key player in terms of responsible credit and budgetary awareness.BNPP Personal Finance is, by nature, exposed to Credit Risk, and relies heavily on quantitative models to manage it. Within BNP Paribas Personal Finance Central Risk Department is responsible for the relevance of risk rating models used within all local entities and for maintaining a high level of expertise with integrating new statistical techniques in new modelling environments.The Credit Process Optimization team is part of the RISK department of BNPP PF, within Risk Personal Finance Global Credit Decision-making Policies, we contribute to the rationalization and the optimization of risk decision processes through an analytical approach. We support local risk teams to improve the efficiency of credit processes including fraud part, participating to the best balance between profitability, customer journey and risk profiles.<b>Fraud is a major problem for merchants. Criminals use a wide variety of methods to attack organizations across systems, channels, processes and products.</b> <b>The development of fraud detection methods is thus of crucial importance. Fraud detection is a challenging problem because fraudsters make their best efforts to make their behaviour look legitimate. Another difficulty is that the number of legitimate records is far greater than the number of fraudulent cases.</b>
DOI: 10.17632/53msftm56j
title: Russian regions in the context of digital transformation: ESG management for sustainable business development / Российские регионы в условиях цифровой трансформации: ESG-менеджмент для устойчивого развития бизнеса

description: In English:
The dataset contains statistics on factors related to the use of digital technologies and the results of sustainable business development in 82 regions of Russia in 2022.
На русском:
Датасет содержит статистику факторов, относящихся к использованию цифровых технологий, и результатов устойчивого развития бизнеса в 82 регионах России в 2022 г.
DOI: 10.17632/9cg2mjtmyh
title: Small-Mammals NBS Dataset and Sampling design

description: Project funded under the National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.4 - Call for tender No. 3138 of 16 December 2021, rectified by Decree n.3175 of 18 December 2021 of Italian Ministry of University and Research funded by the European Union - NextGenerationEU. Award Number: Project code CN_00000033, Concession Decree No. 1034 of 17 June 2022 adopted by the Italian Ministry of University and Research, CUP: H43C22000530001, Project title “National Biodiversity Future Center - NBFC”. 

To advance the national-wide objectives of the Spoke 5 (Urban Biodiversity) of the National Biodiversity Future Center - NBFC (National Recovery and Resilience Plan - NRRP, funded by the European Union – NextGenerationEU), a sampling design based on the use of a unique gradient of urbanization/green areas’ fragmentation has been developed in Italy. 
The classification of 1km2 cells in univocal classes of green area size-fragmentation is provided for six Italian cities (Turin, Milan, Florence, Rome, Naples, Campobasso) in the shapefiles folder “Size_fragmentation_gradient_urban_areas_Italy”.

We investigated the impact of urban green area spatial and habitat characteristics on the community composition of an indicator animal group to inform Nature-Based Solutions (NBSs) for urban biodiversity and sustainability enhancement. We analyzed data of small mammal community composition from three Italian metropolitan cities (Milan, Florence, and Rome), focusing on the distribution pattern of synanthropic and non-synanthropic species. Small mammal surveys were carried out using hair tubes in sampled areas located along the green area size-fragmentation gradient. Data on species presence/absence in each sampled cell are reported in the “Dataset_small_mammals” file.
DOI: 10.5061/dryad.9j5q334
title: Data from: Timing of maternal exposure to toxic cyanobacteria and offspring fitness in Daphnia magna: implications for the evolution of anticipatory maternal effects
DOI: 10.17632/dt7cf566p9
title: Raw dataset for bacterial exopolysaccharide production using cassava pulp as substrate by Bacillus spp. isolated from Thai milk kefir with its antioxidant and antimicrobial capacities

description: This raw dataset reflects an analysis of the antioxidant and antibacterial activity of exopolysaccharide (EPS) produced by eight Bacillus spp. isolated from Thai milk kefir [1] on a substrate of cassava pulp. Cassava pulp was analyzed for its moisture, ash, fat, protein, fiber, starch and sugar, neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL) when used as an EPS-producing substrate. After 3 days of fermentation, dataset on the total plate count, the reducing sugar content, the pH of the culture, and the fresh and dry weight of the EPS was recorded. In response to the EPS produced by several Bacillus spp., the total phenolic content, total flavonoid content, antimicrobial activity against Streptococcus agalactiae and Staphylococcus aureus, and antioxidant activities assessed by DPPH scavenging assay, FRAP assay and hydroxyl radical scavenging activity were collected. Agar disc diffusion, spectrophotometry for antioxidant activity and bioactive content, proximate analysis, the dinitrosalicylic acid method, pH meter readings, the total plate count via serial dilutions using the spread plate technique were the primary techniques used.
DOI: 10.6084/m9.figshare.28877273.v2
title: Precipitation modulates the responses of plant-insect herbivore interactions to grazing exclusions across large spatial scales

description: dataset and code for "Precipitation modulates the responses of plant-insect herbivore interactions to grazing exclusions across large spatial scales"
DOI: 10.5281/zenodo.15561355
title: Urban Health Risk Assessment
DOI: 10.17632/6j994zcshj
title: Ghana's contribution to UN peacekeeping missions

description: Ghanaian governments keen contribution to PKMs as means to avert coups and guarantee regime survival
DOI: 10.5281/zenodo.15553979
title: Urban Health Risk Assessment
DOI: 10.5281/zenodo.15553980
title: Urban Health Risk Assessment
DOI: 10.17632/rrzhwbg3kw
title: African Foods Datasets

description: This data represents 6 different foods from Ghana and Cameroon. Data was collected from different sources such as YouTube, Facebook, Google Images, and other Creative Commons Attribution sources. Data collected from social media platforms such as YouTube and Facebook were contingent upon the permissions of food page owners. We used the snip and sketch tool to manually extract images from YouTube and Facebook videos on key frames where the selected food was displayed.
DOI: 10.17632/tknnsfnzft
title: X-ray diffractograms of graphene oxide

description: XRD patterns were collected in a Philips - X’Pert MRD with Cu K-alfa in Bragg-Brentano geometry from 5 to 60°.
DOI: 10.17632/x5bvj2wzkc
title: Dataset_JAAD-D-21-02742R2

description: This is a supplementary material for the article JAAD-D-21-02742R2, Associations of Combined Lifestyle and Genetic Risks with Incident Psoriasis: A Prospective Cohort Study among UK Biobank Participants of European Ancestry.
DOI: 10.17632/xg9k72r5rt
title: Comparative immune profiling of acute respiratory distress syndrome patients with or without SARS-CoV2 infection. Roussel et al

description: Acute respiratory distress syndrome (ARDS) is the main complication of COVID-19, requiring admission to Intensive Care Unit (ICU). Despite extensive immune profiling of COVID-19 patients, to what extent COVID-19-associated ARDS specifically differs from other causes of ARDS remains unknown. To address this crucial question, we build 3 cohorts of patients categorize in COVID-19negARDSpos, COVID-19posARDSpos, and COVID-19posARDSneg, and compare their immune landscape analyze by high-dimensional mass cytometry on peripheral blood follow by machine-learning based analysis. A cell signature associating S100A9/calprotectin-producing CD169pos monocytes, plasmablasts, and Th1 cells is found in COVID-19posARDSpos, unlike COVID-19negARDSpos patients. Moreover, this signature is essentially share with COVID-19posARDSneg patients, suggesting that severe COVID-19 patients, whatever they experience or not ARDS, display similar immune profiles. We also show an increase in CD14posHLA-DRlow and CD14lowCD16pos monocytes correlate to the occurrence of adverse events during ICU stay. Our study demonstrates that COVID-19-associated ARDS display a specific immune profile, and might benefit from personalize therapy in addition to standard ARDS management. Analyses were performed on a cohort 1 of 63 cryopreserved PBMC samples isolated from 42 patients included in ICU (n = 36) or infectious standard ward (n = 6). All patients but one were classified as severe at admission, requiring oxygen at a flow rate higher than 2 liters/min. ARDS was defined in accordance with international guidelines.34 Patients were classified in 3 groups: COVID-19negARDSpos (n = 12, ARDS stages: 1 mild, 4 moderate, 7 severe), COVID-19posARDSpos (n = 13, ARDS stages: 8 moderate, 5 severe), and COVID-19posARDSneg (n = 17, including 11 from ICU and 6 from infectious standard ward). In the COVID-19posARDSneg, no statistical differences were noticed for immune cell abundance or phenotype between ICU and standard ward patients. Within the COVID-19negARDSpos group, ARDS etiologies were bacterial pneumonia (n = 9), anti-synthetase syndrome (n = 1), and unknown (n = 2). For 21 patients, a second blood sample obtained on day 7 after enrollment was studied (n = 7 for COVID-19negARDSpos, n = 8 for COVID-19posARDSpos, and n = 6 for COVID-19posARDSneg). Additionally, a validation cohort (cohort 2) was set up with 16 patients with demographic data detailed in Table S1 and Table S2. Patients were classified in 3 groups: COVID-19negARDSpos (n = 6), COVID-19posARDSpos (n = 5), and COVID-19posARDSneg (n = 3); additionally, COVID-19negARDSneg (n = 2) samples were included. None of our patients received corticosteroids at the time of the study nor immune-modulators. The presence of SARS-CoV-2 in respiratory specimens (nasal and pharyngeal swabs or sputum) was detected by real-time reverse transcription polymerase chain reaction (RT-PCR) methods.
DOI: 10.6084/m9.figshare.5938249.v1
title: Supplementary Material for: Case Reports of Acne and Homeopathy

description: <b><i>Background:</i></b> Acne vulgaris is a self-limiting disorder of the pilosebaceous unit. The aesthetic aspect of the disorder may provoke depression and diminish the quality of life. A number of agents are used for acne treatment, e.g., retinoids, antibiotics, benzoic acid, azelaic acid, and hormones. These agents have side-effects, sometimes severe ones. <b><i>Case Reports:</i></b> Presented are 2 cases of severe acne treated with individualized homeopathic medicines. Both patients were treated using the classical method of homeopathy, i.e., a single medicine based on the patient's individual characteristics was prescribed. The cases were documented photographically at onset and during the course of treatment. Both patients went into remission following treatment, and long-term follow-up suggested that the therapy remained efficacious long after cessation of treatment. No significant side effects were noted. <b><i>Conclusions:</i></b> Homeopathic medicines may be useful as stand-alone treatment of patients with severe acne vulgaris. A case series suggested a remission rate of more than 80% using individualized homeopathic treatment. The treatment remained efficacious long after cessation and is not accompanied by significant side-effects. It is to be hoped that this presentation will stimulate research interest into homeopathic medicines as stand-alone or adjunct treatments of acne.
DOI: 10.17605/osf.io/s5uhb
title: German Online News Domains

description: German Online News Domains (GONDv1) is a collection of 1,147 primarily German-language domain names classified as being related to news and current affairs. This list was compiled in conjunction with the POLTRACK project (https://leibniz-hbi.de/en/projects/tracking-political-polarization).
DOI: 10.17632/ktdhwgcd66
title: STAD-datasets

description: The data is too large, here is a downloadable synopsis of the data, detailed data is here https://portal.gdc.cancer.gov/projects/TCGA-STAD
DOI: 10.17632/v3gwhkyjsg
title: Brain lesion MRI and co-related MRS Spectroscopy Dataset

description: This dataset is significant as it integrates conventional imaging (MRI) with metabolic imaging (MRS) and expert diagnostic information. To the best of our knowledge, it is the first publicly available dataset to include both MRI and MRS images paired with expert diagnoses, providing exceptional reuse potential for medical imaging and diagnostic research.
DOI: 10.17632/w5j4rp7gmb
title: Supplementary materials of the article: "Limitations and risks of custom GPTs in dermatology", Wang et al.

description: Supplementary materials of the article: "Limitations and risks of custom GPTs in dermatology", Wang et al. Version 4.
DOI: 10.17632/3hpb272c46
title: Gorgan Data

description: Flood data-CSV
DOI: 10.17632/jctsfj2sfn
title: COVID19, Pneumonia and Normal Chest X-ray PA Dataset

description: The dataset is organized into 3 folders (covid, pneumonia , normal) and metadata.csv which contain chest X-ray posteroanterior (PA) images. X-ray samples of COVID-19 were retrieved from different sources for the unavailability of a large specific dataset. First, 613 X-ray images of COVID-19 cases were collected from the following websites: GitHub [1,2], Radiopaedia [3], The Cancer Imaging Archive (TCIA) [4], and the Italian Society of Radiology (SIRM) [5]. Then, instead of data being independently augmented, a dataset containing 912 already augmented images was collected from Mendeley [6]. Finally, 1525 images of pneumonia cases and 1525 X-ray images of normal cases were collected from the Kaggle repository [7] and NIH dataset [8]. A total of 4575 samples were used in the experiment, where 1525 samples were used for each case. References: [1] http://arxiv.org/abs/2003.11597 [2] https://github.com/agchung [3] https://radiopaedia.org/ [4] https://www.cancerimagingarchive.net/ [5] https://www.sirm.org/en/category/articles/covid-19-database/ [6] https://data.mendeley.com/datasets/2fxz4px6d8/4 [7] https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia [8] https://www.kaggle.com/nih-chest-xrays/data
DOI: 10.17632/m7tbjtbx8z
title: Dataset on Motivation and Revisitation in Jeju for Post-Pandemic Implications

description: • This dataset provides insights into tourist behavior during a pandemic, which can help develop effective tourism marketing strategies and improve destination management.
• Researchers can use this data to analyze the impact of pandemics on tourism, compare with other regions, or use the variables to study related psychological aspects of travel behavior.
• The dataset includes detailed demographic information that can be used for segmentation analysis and to tailor marketing strategies to different tourist profiles.
DOI: 10.17632/z3htp6r28k
title: Dr. Vikas Arya -Brand Equity

description: This study is conducted to measure the impact of "Brand Communication on SNSs to Brand Equity in the presence of Brand Attachment which act as a mediator.
DOI: 10.6084/m9.figshare.7370135.v1
title: Data from Better than expected: the influence of option expectations during decision-making

description: Our choices often arise from a consideration of options presented in a sequence (e.g. the products in a supermarket row). However, whether the precise sequential order of option presentation affects decision-making remains poorly understood. A recent model of choice proposes that, in a set of options presented sequentially, those that are better than expected will be perceived as more valuable, even when options are objectively equivalent within the set. Inspired by this proposal, we devised a novel decision-making task where we manipulated the order of option presentation together with expectations about option value. Even when we compared trials that were exactly equivalent except for option order, we observed a striking preference for options that were better than expected. Our findings show that expectations about options affect which option will be favoured within a sequence, an influence which is manifested as a preference for better-than-expected options. The findings have potential practical implications, as for example they may help policymakers in devising nudge strategies that rely on <i>ad-hoc</i> option orders.
DOI: 10.17632/3wxyzfyvh6
title: Dataset: Auxetic Response of 3D Printed Re-entrant TPU Metamaterials

description: The dataset contains simulated Poisson's ratios of 3D Printed Re-entrant TPU Metamaterials with varying geometrical features.
DOI: 10.17632/cwc4nvpz9x
title: THE STUDY OF MONEY AND AI: A NEW ERA MANY DIFFERENT KINDS OF FINANCIAL SERVICES MAY BENEFIT FROM THE USE OF AI

description: The field of artificial intelligence is seeing explosive growth, and it would seem that no single business or market segment has been immune to the influence and pervasiveness of this field. The realms of finance and banking are among those investigating significant new applications for the power offered by this paradigm shifting technology. The use of AI has facilitated the streamlining of operational procedures, eliminating mundane tasks, enhancing customer satisfaction, and the growth of businesses’ bottom lines. By 2023, financial institutions and banks are expected to save $447 billion thanks to the use of AI, according to a report by Business Insider. Eighty percent of financial institutions are aware of the potential advantages that AI might provide, but the significance of AI has significantly grown as a result of the widespread influence that COVID-19 has had. The repercussions of this have been felt throughout the financial sector, and as a direct result, an increased number of customers have been motivated to embrace the digital experience. According to Mani Naga Sundaram, senior vice president and vice president of solutions of international economy services at HCL Technologies, who was recently quoted in an article published by AI News, banks and other financial institutions are required to respond to customers at even faster rates and at all hours of the day and night. Mani Naga Sundaram’s comments were made in response to the fact that banks and other financial institutions must respond to customers all day and night. Freeing up workers, bolstering safety
precautions, and ensuring that a business is moving in the right direction in terms of technical progress and creative thinking are all possible with the help of artificial intelligence.
DOI: 10.17632/dxj37gv8kk
title: Replication package for “Trade Liberalization and Labor Monopsony: Evidence from Chinese Firms”

description: Replication package for “Trade Liberalization and Labor Monopsony: Evidence from Chinese Firms” by Illenin O. Kondo, Yao Amber Li, and Wei Qian. The codes in this replication package allow the user to generate all figures and tables in "Trade Liberalization and Labor Monopsony: Evidence from Chinese Firms." This paper uses confidential microdata from Chinese Customs Trade Statistics and China’s Annual Survey of Industrial Enterprises. This document provides a brief description and details on how to access these data sets. Please refer to the README.pdf for detailed steps to replicate the study.
DOI: 10.17632/nmmdzsxsts
title: Research 2019

description: This study hypothesized if cognitive function capacity decreases the the risk of falls among older adults at nursing homes would increase. This is the raw data consists of demographic data of elderlies, data of risk fall score and data of cognitive function at two nursing homes in West Kalimantan province-Indonesia. Subjects were recruited by purposive consecutive sampling. Of the 100 respondents, 60 subjects met the inclusion and exclusion criteria of the study. The sensitivity Mini-Mental State Exam (MMSE) was used to identify the cognitive function and technically assessed the risk of dementia. The Morse Fall Scale (MFS) was established to predict the risk of falls. These tools are valid and reliable. The collected data were analyzed using somers’d test.
DOI: 10.17632/z6t86sjwts
title: Dataset of traditional Chinese god statue

description: The images of this dataset are collected by the Google search engine, and there are five types of gods in total: (1) Ma-zu, (2) Sam-Tai-Zu, (3) Earth God, (4) Guan Yu, and (5) Guanyin Bodhisattva.
Among the above five gods, there are three gods of Taoism: Ma-zu, Sam-Tai-Zu, and Earth God. Among them, Ma-zu symbolizes the guardian deity of the sea. The worship of the people living along the coast and the fishermen gradually formed a belief, which has continued to this day; Sam-Tai-Zu symbolizes the protection god. In addition to the meaning of exorcising evil spirits, it is also used to pray for safe driving because of the image of stepping on a hot wheel; Earth God is the patron saint of the place. Most places where Han people live are enshrined, which means praying for blessings and keeping peace. Guan Yu and Guanyin Bodhisattva belong to Buddhism. Because of Guan Yu's righteous image as a general during his lifetime, believers are not only the military and police, but also including people cross other related industries; The images and sayings of Guanyin Bodhisattva are very diverse, but what they have in common is that the image of compassion is deeply rooted in the hearts of the people, and believers are spread all over the place.
DOI: 10.5061/dryad.3gj2p
title: Data from: Rational constraints and the evolution of fairness in the Ultimatum Game