cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28507244.v1
title: Habitat types of the habitat mapping programs of Schleswig-Holstein, Hamburg, and Baden-Württemberg

description: This table includes all habitat types from the habitat mapping programs of the federal states Hamburg (HH), Schleswig-Holstein (SH), and Baden-Württemberg (BW) in Germany. The table indicates in which broad groups ("Group") they were sorted for an analysis by Lüttgert et al. (2025). Given are the codes of each type ("Code"), which are unique to each state and correspond to the German name of each habitat type. NAs in the column "Group" indicate that the habitat type was not used for analysis, mainly because there were no species lists available. The column “Time” for the state SH indicates if this habitat type category was mapped during the first (1) or second (2) time.
DOI: 10.17632/8yntfx6f6t
title: Forecasting TGe24, PUN

description: The datasets were used in our research and are described in the working paper 
Mixed-frequency information in point forecasting of daily electricity prices.
DOI: 10.17632/r9m45pv43d
title: Research Data 4_4_2024

description: This folder is associated with a Research paper in which the URL to this folder is given, so that the code and results can be used/verified by the readers of the paper.
DOI: 10.6084/m9.figshare.19328777.v1
title: Supplementary Material for: First-trimester SARS-CoV-2 infection: clinical presentation, inflammatory markers and obstetric outcomes

description: Objective: Second and third trimester SARS-CoV-2 infections may have an increased risk of obstetric complications. However, data on first-trimester infections are scarce. We sought to characterize the clinical and inflammatory presentation, and pregnancy outcomes of first-trimester infections. Methods: A population-based multicenter study including 817 singleton pregnancies with SARS-CoV-2 serologic testing at 8-14 weeks between March and May 2020. Blood count, uterine artery Doppler and pregnancy-associated plasma protein A (PAPP-A) were performed in all women. Placental growth factor (PlGF), soluble fms-like tyrosine kinase-1 (sFlt-1), IL-6 and ferritin were determined in positive women. Obstetric outcomes were evaluated. Results: The prevalence of first-trimester infection was 15.2% (n=124). 72.6% of positive women were asymptomatic. Symptomatic women had higher rates of lymphopenia (1.91x109/L vs 2.16x109/L, P=0.017), and increased levels of IL-6 (9.1% vs 1.2%, P=0.051), but lower rates of decreased ferritin (6.3% vs 19.8%, P=0.015). PAPP-A was higher in symptomatic women compared with asymptomatic and negative women (1.44 (IQR 0.90-1.82) vs 1.08 (IQR 0.66-1.61) P=0.014, vs 1.08 (IQR 0.77-1.55) P=0.019, respectively). Obstetric outcomes were not increased. Conclusions: First-trimester SARS-CoV-2 infections are mostly asymptomatic, with a mild increase of inflammatory markers in symptomatic women. Obstetric complications were not increased, but PAPP-A levels were higher in symptomatic women.
DOI: 10.6084/m9.figshare.5525407.v1
title: MicroCT of mouse tibiae-oim3

description: MicroCT of mouse tibiae-oim3
DOI: 10.17632/cfjrzm8zcb
title: A dataset of soil microstructure features and the weather conditions affecting them from 2005 to 2021 in the Caspian Depression

description: The dataset includes micromorphological photographs of the state of the soil complex on the territory of the Caspian Depression in the Dzhanybek Research Station of the Institute of Forest Science RAS in 2005. This year marks the first time that soil properties are modeled at the present day, taking into account the changed meteorological parameter. The weather data was collected between February 2005 and June 2021.
DOI: 10.17632/6k558srngr
title: Data for: Connecting the actors, discovering the ties: Exploring disaster risk governance network in Asia and Pacific

description: The data is coded from DRR Project in Asia Pacific.
DOI: 10.17632/zs65t7pkyr
title: Data for: Effect of insitu and exsitu biofloc on antioxidant, immunological, growth and gene expression responses of Genetically Improved Farm Tilapia (GIFT) and its resistance to Aeromonas hydrophila

description: Tilapia- a hardy species is the second most widely cultured fish next to carps globally. In 2016, the total production of tilapia was roughly about 6.69 million tonnes and has been expected to rise to 7.3 million tonnes by the end of 2030. The most distinct candidature traits of this species includes euryphagic feeding habit, captive breeding potential, tolerance to high stocking density and improved growth performance in various aquaculture systems. However, with the emerging disease problems and lack of fish seed availability posed the development of Genetically Improved Farm Tilapia (GIFT) strain using eight different species of Tilapia under selective breeding by World Fish Centre . The expansion of aquaculture limited to land and water utilization hinders the productivity of the aquaculture particularly in Tilapia farming . To overcome these bottle necks, sustainable intensification by the adoption of advanced culture systems and technologies becomes inevitable to improve the production and productivity of the sector. One of such advanced technologies is biofloc technology, a minimal or zero water exchange technology, which allows the animals to stock at higher densities. Bioflocs are conglomerates of algae, bacteria, protozoans, fecal matter and uneaten feed which are held together in a loose matrix by the secretions of filamentous microorganisms or by electrostatic attraction
DOI: 10.17632/8jnjprtsj7
title: Ecological Correlates related to adolescent movement behaviors: a latent class analysis

description: Data file referring to the analysis of the manuscript entitled "Ecological Correlates related to adolescent movement behaviors: a latent class analysis". More details regarding the methodology, results and analysis are presented in the manuscript. Observation: Column titles in the date sheet are presented in portuguese language
DOI: 10.17632/kws9xbvz3y
title: MagneticTB: A package for tight-binding model of magnetic and non-magnetic materials

description: We present a Mathematica program package MagneticTB, which can generate the tight-binding model for arbitrary magnetic space group. The only input parameters in MagneticTB are the (magnetic) space group number and the orbital information in each Wyckoff position. Some useful functions including getting the matrix expression for symmetry operators, manipulating the energy band structure by parameters, and interfacing with other software are also developed. MagneticTB can help to investigate the physical properties in both magnetic and non-magnetic system, especially for topological properties.
DOI: 10.17632/vfchtm5y7j
title: Insurance data for homeowners and motor insurance customers monitored over five years

description: Sample of 40,284 insurance private customers of a real portfolio of insurance policy holders in Spain with a motor insurance and a homeowners insurance contract. Customers are tracked from 2010 to 2014. Some customers do not renew their policies, so that they do not stay in the sample for five years. Data contain information on each customers, policies and yearly claims by type of contract. The file contains 122935 rows. Each customer is uniquely identified by an identification number, "PolID". Year of observation is recorded in column named “year” and it goes from 1 to 5. Records are presented ordered by years and by PolID within each year. Given that some policy holders do not renew the two policies in the insurance company, the number of customers per year decreases over time. The description of the data is the following: “gender" is 1 for male and 0 for female), "Age_client" is the age of the customer in years, "age_of_car_M" I s the number of years since the vehicle was bought by the customer, "Car_power_M" is the power of th vehicle, "Car_2ndDriver_M" equals 1 if the customer has informed the insurance company that a second occasional driver uses the vehicle, and 0 otherwise, "num_policiesC" is the total number of policies held by the same customer in the insurance company, "metro_code" equals 1 for urban or metropolitan and 0 for rural, "Policy_PaymentMethodA" equals 1 for annual payment and 0 for monthly payment in the motor policy, "Policy_PaymentMethodH" equals 1 for annual payment and 0 for monthly payment in the homeowners policy, "Insuredcapital_content_re" is the value of content in homeowners insurance , "Insuredcapital_continent_re" is the value of building in homeowners insurance, "appartment" equals 1 if the homeowners insurance correspond to an apartment and 0 otherwise "Client_Seniority" is the number of years that the customer has been in the company, "Retention" equals 1 if the policy is renewed and 0 otherwise,"NClaims1" is the number of claims in the motor insurance policy for the corresponding year, "NClaims2" is the number of claims in the motor insurance policy for the corresponding year, "Claims1" is the sum of claims cost in the motor insurance policy for the corresponding year,"Claims2" is the sum of claims cost in the homeowners insurance policy for the corresponding year, "Types" is equal to 1 when neither an auto nor a home claim, it is equal to 2 when the customer has an auto but not a home claim, it is equal to 3 when the customer does not have not an auto but a home claim and it is equal to 4 when both an auto and a home claim. All monetary units are expressed in Euros. In motor insurance, only claims at fault are considered.
DOI: 10.17632/wyp86krp66
title: Data for: Gradient Estimation of the Local-constant Semiparametric Smooth Coefficient Model

description: These files facilitate the replication of the Monte Carlo simulation and empirical application results in the paper.
DOI: 10.17632/z46my2brw6
title: Supplemental Materials - Association of Hidradenitis Suppurativa and Liver Disease: A Systematic Review and Meta-Analysis

description: Supplemental Materials for above manuscript.
DOI: 10.6084/m9.figshare.5644864.v1
title: Effects of nutritional conditions on lipid production by cyanobacteria

description: ABSTRACT The present study evaluated the effects of the culturing media and the levels of nitrogen and phosphorus on the growth, biomass productivity and lipid production of four species of Microcystis (M. novacekii, M. aeruginosa, M panniformis and M. protocystis). The lipid extract was obtained by refluxing with dichloromethane (Soxhlet). The biomass and biomass productivity yields were maximized with ASM-1 medium treatment enriched with nitrogen and/or phosphorus (0.25-0.65 g/L and 25-50.7 mg/L d-1, respectively). The lipid extract yields from M. panniformis and M. novacekii were inversely correlated with the concentration of nitrogen and directly correlated with the concentration of phosphorus (35.8 % and 31.7 %). The lipid extract yield from M. aeruginosa was inversely correlated with the nutrient concentration (23.3 %). M. protocystis exhibited a higher lipid content in the control medium (41.5 %) than in the nitrogen-enriched media. The recorded results show that a nutrient-poor culture medium favours cell growth and stimulates lipid accumulation, which directly affects the cost of cultivation by reducing nutrient consumption. All studied species may serve as biomass sources for biodiesel production, although M. protocystis exhibited the highest lipid production. Further studies are necessary to determine the composition of the recorded lipid extract.
DOI: 10.17632/ngdgg79rzb
title: Dataset of Tomato Leaves

description: This database is divided into two datasets for tomato leaf images according to different image sources. The tomato leaf images of the first dataset are selected from the PlantVillage database with ten categories (nine disease categories and one health). Each image is composed of a single leaf and a single background, for a total of 14,531 images. After combining the original tomato leaf images and deleting unnecessary categories, we then adjusted the image size from 256 * 256 to 227 * 227. Afterwards, this database is divided into five subsets of 5-fold cross-validation. The detailed categories of the first dataset are: (1) Bacterial spot, (2) Early blight, (3) Healthy, (4) Late blight, (5) Leaf Mold, (6) Septoria leaf spot, (7) Target Spot, (8) Tomato mosaic virus, (9) Tomato yellow leaf curl virus, (10) Two-spotted spider mite The second dataset is images of Taiwan tomato leaves, with six categories (five disease categories and one health). It consists of a single leaf, multiple leaves, a single background and a complex background. We have 622 original images. The size of the picture is different, and we unified the image size to 227 * 227. Then we use data augmentation method to increase the number of pictures, including clockwise rotation with 90 degrees, 180 degrees, and 270 degrees; horizontal mirroring, vertical mirroring, reducing image brightness and increasing image brightness, etc. There are 4,976 images after data enhancement. The detailed categories of the second dataset are: (1) Bacterial spot, (2) Black leaf mold, (3) Gray leaf spot, (4) Healthy, (5) Late blight, (6) Powdery mildew
DOI: 10.6084/m9.figshare.16591151.v1
title: Supplementary Material for: Investigating the Association between Wake-Up Stroke and Obstructive Sleep Apnea: A Meta-Analysis

description: <b><i>Background:</i></b> Management of wake-up stroke (WUS) is always a challenge as no clear time of onset could be ascertained, and how to choose an appropriate therapy remains unclear. Sleep-disordered breathing (SDB) has been regarded as a potential risk factor to WUS, yet no consensus was achieved. Motivated by the need for a deeper understanding of WUS and its association with sleep apnea, meta-analyses summarizing the available evidence of respiratory events and indices were conducted, and sensitivity analysis was also used for heterogeneity. <b><i>Methods:</i></b> Electronic databases were systematically searched, and cross-checking was done for relevant studies. Collected data included demographic characteristics, and sleep apnea parameters were extracted with stroke patients divided into WUS and NWUS groups. Clinical data of stroke patients accompanied with sleep apnea syndrome (OSA, SAS, and severe SAS) were also extracted for meta-analysis. <b><i>Results:</i></b> A total of 13 studies were included in the analysis. The meta-analysis results showed that OSA, SAS, and severe SAS were significantly higher in WUS patients. A significantly higher AHI (WMD 7.74, 95% CI: 1.38–14.11; <i>p</i> = 0.017) and ODI (WMD of 3.85, 95% CI: 0.261–7.438; <i>p</i> = 0.035) than NWUS patients was also observed in the analysis of respiratory indices. <b><i>Conclusion:</i></b> WUS patients have severer SDB problems compared to NWUS patients suggesting that respiratory events during sleep might be underlying the induction of WUS. Besides, the induction of WUS was significantly associated with men rather than women. Therefore, early diagnosis and management of potential WUS patients should benefit from the detection of SDB status and respiratory effects.
DOI: 10.17632/6ymh4jrxvb
title: Biochemical characterization of protease activity of Nsp3 from SARS-CoV-2 and its inhibition by nanobodies

description: Of the 16 non-structural proteins (Nsps) encoded by SARS CoV-2, Nsp3 is the largest and plays important roles in the viral life cycle. Being a large, multidomain, transmembrane protein, Nsp3 has been the most challenging Nsp to characterize. Encoded within Nsp3 is the papain-like protease domain (PLpro) that cleaves not only the viral polypeptide but also K48-linked polyubiquitin and the ubiquitin-like modifier, ISG15, from host cell proteins. We here compare the interactors of PLpro and Nsp3 and find a largely overlapping interactome. Intriguingly, we find that near full length Nsp3 is a more active protease compared to the minimal catalytic domain of PLpro. Using a MALDI-TOF based assay, we screen 1971 approved clinical compounds and identify five compounds that inhibit PLpro with IC50s in the low micromolar range but showed cross reactivity with other human deubiquitinases and had no significant antiviral activity in cellular SARS-CoV-2 infection assays. We therefore looked for alternative methods to block PLpro activity and engineered competitive nanobodies that bind to PLpro at the substrate binding site with nanomolar affinity thus inhibiting the enzyme. Our work highlights the importance of studying Nsp3 and provides tools and valuable insights to investigate Nsp3 biology during the viral infection cycle.
DOI: 10.17632/6jzfpzmks6
title: Data for Exhausted Heart Rate Responses to Repeated Psychological Stress in Women with Major Depressive Disorder

description: This is the data used for the manuscript "Exhausted Heart Rate Responses to Repeated Psychological Stress in Women with Major Depressive Disorder" published in Frontiers in Psychiatry 2022. Two sheets are present: One containing Demographic and psychophysiological data and the other one containing the Visual Analogue Scale (VAS) data for the item "Stress". In the demographic data file the timepoint indicates BL= baseline S1=Stress1, R1_1=recovery 1, S2=Stress2 and R2_1= recovery 2. For any particular question you can contact me on carmen.schiweck@kgu.de
DOI: 10.17632/c6d78n2zkn
title: Students Study Skills and Depression: A Randomised Controlled Study in a Large Medical School

description: Abstract: 
Purpose : The burden of depression among medical students is rising and it extends to future practice, influencing patient safety and care. To enhance the educational experiences of medical students, it is vital to explore ways to reduce the impact of depressive symptoms on learning and mental health. This study sought to assess the impact of a study skills course (intervention) on the rate and severity of depressive symptoms.
Introduction
Higher education introduces students to new social environments for example increasing academic pressures that could lead to stress, anxiety, and depression. Ultimately, these ailments can negatively impact student performance and progress. Many health college students commonly experienceexperience mental health issues; depression being the most prevalent
Methods : A rarndomised controlled educational trial was conducted on 3rd year medical students, of King Saud University, in the period between January 2022 and May 2022. 
The Study Skill Inventory (SSI) was used to assess students’ study skills and the Patient Health Questionnaire (PHQ-9) for depressive symptoms of participants in the control and intervention groups, before and after the intervention, i.e., the study skills course. In addition to descriptive statistics, mean ranks of the pre-post test scores of the intervention and control groups were compared using Mann Whitney-U and Wilcoxon sign rank tests as appropriate.
Results : Of the 69 medical students who took part in the study, 36 were randomly assigned to the intervention group, while 27 and 34 students filled out the pre-intervention and the post-intervention students’ satisfaction survey of their study habits, respectively. No statistically significant differences were observed in the PHQ-9 and SSI scores between the intervention and control groups, both pre and post the study skills course. Around 76.5% of students assessed the course as good or excellent and found the course meeting their expectations (62%).
Conclusion : This study revealed no statistically significant improvement in depressive symptoms following the study skills course. It is recommended for future similar studies to implement interventions in a course that counts for students’ grade or at least to administer the study skills learning intervention before the crowded formal curriculum starts.
Keywords : Medical student, online course, impact, emotional well-being, study habit, PHQ-9 
A meticulous design is paramount when planning any interventional study that involves medical students students, and the study should guarantee an optimal uptake of the intervention. This may be achieved by either making the course mandatory or carrying out the study skills course before formal learning in the school.
A meticulous design is paramount when planning any interventional study that involves medical students students, and the study should guarantee an optimal uptake of the intervention.
DOI: 10.17632/jv6tnm4t5c
title: A Curated Dataset of Eggplant Leaves: Healthy Specimens and Six Major Disease Conditions

description: This dataset comprises high-resolution images of eggplant (Solanum melongena) leaves, curated to support research in plant disease detection and classification using machine learning techniques. The images were collected under natural field conditions, providing a diverse set of images with varying lighting, angles, and backgrounds. This dataset is specifically designed for training machine learning models for plant disease detection, image classification, and precision agriculture applications.

The dataset includes seven distinct classes of eggplant leaf conditions:

 1. Healthy: Leaves that show no signs of disease or damage, representing a normal, healthy state of the plant.
 2. Insect Pest: Leaves affected by insect pests, showing damage such as holes, discoloration, or deformation 
 caused by feeding activities.
 3. Leaf Spot: Leaves exhibiting various forms of leaf spot diseases, characterized by round or irregular lesions, 
 often caused by fungal or bacterial pathogens.
 4. Mosaic Virus: Leaves infected by mosaic viruses, displaying mottled or variegated patterns with yellow or light 
 green patches, commonly associated with viral diseases.
 5. Small Leaf: Leaves that are smaller than normal, resulting from environmental stress, nutrient deficiencies, or 
 genetic factors leading to stunted growth.
 6. White Mold: Leaves showing symptoms of white mold, with white, cotton-like fungal growth on the surface, 
 caused by Sclerotinia spp.
 7. Wilt: Leaves that appear droopy and dehydrated, exhibiting wilting, often due to root damage, water stress, or 
 vascular infections.

Each class contains 200 high-quality images, totaling 1,400 images in the dataset. The images are in JPG format with varying resolutions, making them suitable for training deep learning models to automatically detect and classify plant diseases. The dataset is intended for use in agricultural research, specifically in developing machine learning models for early disease detection and crop management.
DOI: 10.17632/w32bjrt48s
title: Investigation of the effectiveness of interactive Telerehabilitation and Transcutaneous Electrical Nerve Stimulation on pain, functionality, disability and quality of life in patients with nonspecific chronic neck pain

description: Investigation of the effectiveness of interactive Telerehabilitation and Transcutaneous Electrical Nerve Stimulation on pain, functionality, disability and quality of life in patients with nonspecific chronic neck pain