cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/vb8tfh2dn7
title: Dataset for Vacuum Treatment in Porous Silicon to Stabilize Oxidation

description: Data used to support research paper initially entitled: "Vacuum treatment to stabilize oxidation at low temperature region in porous silicon"
DOI: 10.6084/m9.figshare.13118417.v2
title: Solving sampling bias problems in presence-absence or presence-only species data using zero-inflated models

description: R code and data used in the manuscript "Solving sampling bias problems in presence-absence or presence-only species data using zero-inflated models".
DOI: 10.6084/m9.figshare.2182732.v1
title: Presentation: Digital Literacy and Scholarship at the University of Auckland

description: Presentation on progress on Digital Literacy and Scholarship for Researchers at the New Zealand eResearch Symposium, February 2016
DOI: 10.6084/m9.figshare.c.3612254_d8.v1
title: Additional file 4: Table S4. of Development of Genome-Wide Insertion and Deletion Polymorphism Markers from Next-Generation Sequencing Data in Rice

description: InDels with major allele difference ≥8 bp. (XLS 10074 kb)
DOI: 10.6084/m9.figshare.11555844.v1
title: Global Water Quality Database

description: These files represent the raw data used to generate a global model of median dissolved and total nitrogen and phosphorus concentrations. This was used in an assessment of the likelihood of periphyton growth.<br>Prospective users are to acknowledge and abide by the policies of the data providers (e.g. GEMStat.org; www.lawa.org.nz etc). Use of this processed database should acknowledge the authors.
DOI: 10.6084/m9.figshare.28409999.v1
title: Data for Eco-evolutionary Responses of Species Distributions to Climate Change

description: This "RangeShiftData" dataset supports the study "Eco-evolutionary Responses of Species Distributions to Climate Change." It contains comprehensive data on species range shift rates, alongside detailed taxonomic information, geographic coordinates, climate niche metrics, and global distribution patterns, providing valuable insights for ecological and evolutionary research.
DOI: 10.6084/m9.figshare.28926992.v2
title: R code for statistical analysis in PDO Thread Lift Study

description: Thread lift study
DOI: 10.15468/dl.grb6ne
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagamichthys schnakenbecki (Krefft, 1953)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((9.7509 37.8496,8.9648 37.5879,8.9648 28.8496,17.9648 28.8496,17.9648 31.4107,15.9933 31.8399,15.7087 32.5876,15.3783 32.8575,13.447 33.3951,12.448 33.3201,11.5958 33.6971,11.3566 34.2292,11.7126 34.4306,11.838 34.8337,11.4958 36.0284,11.2722 36.2509,11.6203 36.7533,11.5006 37.3226,11.1934 37.5676,10.5795 37.5806,9.7509 37.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013235-250525065834625/datasets/export for details.
DOI: 10.17632/8mpgzwgmwk
title: System dynamic model of a nascent SME network

description: This file could be run in Vensium to simulate dynamics of nascent supply network or nascent ecosystem in manufacturing
DOI: 10.17632/ryn6wdgckf
title: Database of incorrect R equations

description: This database contains information on studies (conducted since 1989) that used incorrect R equations to calculate rainfall erosivity. We spent numerous hours manually combing through Scopus, Google Scholar, and other Internet sources to locate these articles. The literature search was initially limited to English-language papers and later expanded to Chinese publications in order to determine the origin of the misuse of R equations. A total of 125 papers were discovered and entered into this database, and it is easy to add studies if more are found.
DOI: 10.17632/x954653zkr
title: Raw DNA Methylation Data; Herrgott et al., 2022

description: Raw cfDNA methylation intensity data files (IDAT) for 96 liquid biopsy collections (blood serum & plasma) from pituitary neuroendocrine tumors (PitNETs), other pituitary diseases (craniopharyngioma, pituicytoma, etc.) and other tumor/non-tumorous conditions.
DOI: 10.6084/m9.figshare.5125915.v1
title: Supplementary Material for: Functional Connectivity and Temporal Variability of Brain Connections in Adults with Attention Deficit/Hyperactivity Disorder and Bipolar Disorder

description: <b><i>Objectives:</i></b> To assess brain functional connectivity and variability in adults with attention deficit/hyperactivity disorder (ADHD) or euthymic bipolar disorder (BD) relative to a control (CT) group. <b><i>Methods:</i></b> Electroencephalography (EEG) was measured in 35 participants (BD = 11; ADHD = 9; CT = 15) during an eyes-closed 10-min rest period, and connectivity and graph theory metrics were computed. A coefficient of variation (CV) computed also the connectivity's temporal variability of EEG. Multivariate associations between functional connectivity and clinical and neuropsychological profiles were evaluated. <b><i>Results:</i></b> An enhancement of functional connectivity was observed in the ADHD (fronto-occipital connections) and BD (diffuse connections) groups. However, compared with CTs, intrinsic variability (CV) was enhanced in the ADHD group and reduced in the BD group. Graph theory metrics confirmed the existence of several abnormal network features in both affected groups. Significant associations of connectivity with symptoms were also observed. In the ADHD group, temporal variability of functional connections was associated with executive function and memory deficits. Depression, hyperactivity and impulsivity levels in the ADHD group were associated with abnormal intrinsic connectivity. In the BD group, levels of anxiety and depression were related to abnormal frontotemporal connectivity. <b><i>Conclusions:</i></b> In the ADHD group, we found that intrinsic variability was associated with deficits in cognitive performance and that connectivity abnormalities were related to ADHD symptomatology. The BD group exhibited less intrinsic variability and more diffuse long-range brain connections, and those abnormalities were related to interindividual differences in depression and anxiety. These preliminary results are relevant for neurocognitive models of abnormal brain connectivity in both disorders.
DOI: 10.6084/m9.figshare.6260732.v2
title: Matlab code, raw data and figure plots from "CLASP suppresses microtubule catastrophes through a single TOG domain"

description: Matlab code, raw data and figure plots from the paper: <i>CLASP suppresses microtubule catastrophes through a single TOG domain</i>Amol Aher, Maurits Kok, Ashwani Sharma, Ankit Rai, Natacha Olieric, Ruddi Rodriguez-Garcia, Eugene A. Katrukha, Tobias Weinert, Vincent Olieric, Lukas C. Kapitein, <br>Michel O. Steinmetz, Marileen Dogterom and Anna AkhmanovaDev Cell. 2018 Jul 2; 46(1): 40–58.e8.<br><br>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6035287/<br><br>
DOI: 10.6084/m9.figshare.7570463.v1
title: Additional file 5: of Secretome analysis of Strongyloides venezuelensis parasitic stages reveals that soluble and insoluble proteins are involved in its parasitism

description: Table S6. Pfam protein domains identified in the secretome of Strongyloides ratti. Protein identification data were obtained from Hunt et al. [21]. The sum of the exponentially modified protein abundance index (emPAI) values of identified proteins was calculated for each Pfam domain. (XLSX 19 kb)
DOI: 10.17632/b3zv9n63vk
title: DIB Scuto1

description: Raw research data linked to Data in Brief article entitled "Data on the design optimization, indoor characterization and outdoor testing of GaAs/Bifacial Si Heterojunction four-terminal photovoltaic systems".
DOI: 10.6084/m9.figshare.11302910.v1
title: ESM 1 XLS: Chemical variation, modal composition and classification of granitoids

description: Database used for the statistical analysis (XLS)
DOI: 10.6084/m9.figshare.18685697.v1
title: ST239.aln.gz

description: Whole genome alignment of 14 <i>S. aureus</i> ST239 isolates.<br>
DOI: 10.6084/m9.figshare.24891966.v1
title: workflow_results

description: Mutton industry plays an important role in Xinjiang animal husbandry in China, and Duolang Sheep is a widely distributed mutton sheep breed in Xinjiang with many advantageous traits including tolerance to rough feed and high meat quality. Rumen microbiota has been associated with various production phenotypes in livestock industry, but little is known about the composition of ruminal microbiota of Duolang Sheep. This study aims to compare characteristics of rumen bacterial community of Duolang Sheep and Hu Sheep using 16s RNA sequencing technique. Ruminal fluid samples were obtained via rumen cannula from 12 healthy Duolang Sheep and 12 healthy Hu Sheep under the same feeding and management protocol. The results showed that the relative abundance of Firmicutes (P&lt;0.01), Oscillospiraceae (P&lt;0.05), UCG-011 (P&lt;0.01), Christensenellaceae (P&lt;0.05), F082 (P&lt;0.05), Ruminococcaceae (P&lt;0.05), NK4A214 group (P&lt;0.05), Christensenellaceae R7 group (P&lt;0.01) and Ruminococcus (P&lt;0.05) was significantly higher in Duolang Sheep, while the rumen of Hu Sheep contained significantly higher level of Bacteroidetes (P&lt;0.05), Proteobacteria (P&lt;0.05), Patescibacteria (P&lt;0.05), Prevotellaceae (P&lt;0.05), and Prevotella (P&lt;0.05). Lower level of ruminal bacterial diversity was detected in Duolang Sheep represented by difference in Simpson Index (P&lt;0.01). In addition, principal coordinate analysis revealed significant dissimilarity (P&lt;0.01) between the rumen microbiota of the two breeds. The relative abundance of phylum Firmicutes and associated bacterial taxa in Duolang Sheep may be related to its higher level of feed efficiency and meat quality.
DOI: 10.6084/m9.figshare.26994181.v2
title: Additional file 8 of ADNP dysregulates methylation and mitochondrial gene expression in the cerebellum of a Helsmoortel–Van der Aa syndrome autopsy case

description: Additional file 8: List of differentially expressed proteins in the ADNP cerebellum (LFQ-MS).
DOI: 10.6084/m9.figshare.27897546.v1
title: Global dung mass

description: We combine livestock and wild herbivore dung mass data from surveys at 760 dryland sites worldwide, representing independent measurements of herbivory, to generate high-resolution maps.
DOI: 10.6084/m9.figshare.29104388.v1
title: PhD Thesis

description: PhD Thesis
DOI: 10.17632/42dvfp4pkd
title: Work Engagement and Organizational Justice of nursing staff during COVID-19. 2023

description: To analyze the effect of the health crisis caused by the COVID-19 pandemic on the Work Engagement and Organizational Justice of the nursing staff in a public hospital.
DOI: 10.17632/ghkf6y44x9
title: Supplemental Table 1 - Glucagon-like Peptide-1 Receptor Agonist Use in Patients with Psoriasis is Associated with Lower Incidence of Atherosclerotic Cardiovascular Disease

description: Supplemental Table 1. Baseline characteristics of GLP1-RA cohort and GLP1-RA-naïve cohort before and after propensity-score matching (PSM). Bold standard difference indicates standard difference (std diff) &gt; 0.1.
DOI: 10.6084/m9.figshare.1558027.v1
title: Abundance and Coverage of Plant Species in a Grassland Area at York University

description: The data for this study was collected at a grassland area at York University using a 1 meter x 1 meter quadrat. The quadrat was randomly placed in twenty-five locations in the grassland lot. These locations were randomly chosen by taking ten steps in any direction and then placing the quadrat where we stopped after the tenth step. Abundance of plants represents the total number of plants found in a quadrat. This amount recorded by conducting a quick counting and estimating the total number of plants in the quadrat. Different species represents the number of different plant species found in the quadrat. The data for different types of species was collected by counting plant species found in the quadrat that varied from each other in colour, structure and size. The cover of vegetation is the total coverage of plant species in the quadrat measured in percentage. This data was collected by estimating if the quadrat was fully covered with vegetation or had patches of soil or bare ground. Grass coverage represented the total percentage of grass which was present in the quadrat.
DOI: 10.6084/m9.figshare.17170961.v1
title: Supplementary Material for: Exosomes Derived from Cancer-Associated Fibroblasts Regulate Cell Progression in Clear-Cell Renal-Cell Carcinoma

description: <b><i>Backgrounds:</i></b> Exosomes from multiple sources function as regulatory factors in progression of various tumors. However, studies on the impact of exosomes from cancer-associated fibroblasts (CAFs) on tumor-cell proliferation, migration, invasion, and cycle regulation in clear-cell renal-cell carcinoma (ccRCC) are still lacking. <b><i>Methods:</i></b> A Western blot assay was performed to test the exosome-related marker protein level in exosomes derived from CAFs and normal fibroblasts (NFs). A confocal microscope was utilized to observe the internalization of CAF- and NF-derived exosomes after coculturing with cancer cells. MTT, EdU, colony formation, and transwell assays were conducted to detect progression of cancer cells incubated with CAF-derived exosomes. A Western blot assay was also conducted to test expression levels of metastasis-associated proteins. Changes in cell apoptosis and cell cycle were measured by flow cytometry. <b><i>Results:</i></b> Expression of CAF-derived exosome-related marker proteins was higher than that from NFs. Exosomes derived from CAFs and NFs could enter into cancer cells smoothly and be internalized by cancer cells. After cancer cells were cocultured with CAF-derived exosomes, cell proliferation, migration, and invasion were notably enhanced, and cell apoptosis was reduced. Moreover, expression of fibronectin, N-cadherin, vimentin, MMP9, and MMP2 in cancer cells increased, while E-cadherin was decreased. Besides, the proportion of cancer cells in the S phase increased. <b><i>Conclusion:</i></b> CAF-derived exosomes are internalized into ccRCC cells and promote the progression of ccRCC.
DOI: 10.6084/m9.figshare.20748211.v1
title: Export diversification and growth data

description: The dataset was utilised to examine the impact of export diversification on economic growth in Sub-Saharan Africa. A total of 43 countries over a period of 19 years were taken into account. The research hypothesis for this study is: Export concentration constrains economic growth in Sub-Saharan Africa. The data for macroeconomic variables considered in the study were drawn from the World Development Indicators' database. Then data for measuring the extent of export diversification were drawn from the International Monetary Funds' Herfindahl-Hirschman Index database. Lastly, data to measure the quality of governance were drawn from the Worldwide Governance Indicators' database. The study measured the log of GDP per capita growth as the dependent variable- and export diversification and, governance index (index of the six components of governance), foreign direct investment, domestic investment as the main explanatory variables - whereas trade policy, trade openness were included as control variables. Furthermore, the study tested for a u-shaped pattern between export diversification and economic growth in the region and thus an additional variable was included InExDsq to achieve this objective. The results suggest that export diversification is still low in Sub-Saharan Africa and consequently impact negatively on economic growth in the region. This is evidenced by the negative coefficient of export diversification.
DOI: 10.6084/m9.figshare.21757775.v1
title: flow cytometry

description: raw data-<strong>flow cytometry</strong>
DOI: 10.6084/m9.figshare.24981000.v1
title: Section3.1.zip

description: Macros and data for Section3.1
DOI: 10.6084/m9.figshare.26090455.v1
title: Dataset and statistic R script

description: "Circadian clock period length is not consistently linked to chronotype in a wild songbird" Barbara M. Tomotani*, Aurelia F. T. Strauß*, Dmitry Kishkinev, Huib van de Haar and Barbara Helm** in Steven A. Brown Special Issue "Dynamic interactions of biological clocks, sleep and metabolism" of in <i>European Journal of Neuroscience</i>.* These authors contributed equally to this work. ** Submitting author<b>Abstract</b>Circadian clock properties vary between individuals and relate to variation in entrained timing in captivity. How this variation translates into behavioural differences in natural settings, however, is poorly understood. Here we tested in great tits whether variation in the free-running period length (<i>tau</i>) under constant dim light (LL) was linked to the phase angle of the entrained rhythm (“chronotype”) in captivity and in the wild, as recently indicated in our study species. We also assessed links between <i>tau</i> and the timing of first activity onset and offset under LL relative to the last experienced light-dark (LD) cycle. We kept 66 great tits, caught in two winters, in LL for 14 days and subsequently released them with a radio transmitter back to the wild, where their activity and body temperature rhythms were tracked for 1 to 22 days. For a subset of birds, chronotype was also recorded in the lab before release. Neither wild nor lab chronotypes were related to <i>tau</i>. We also found no correlation between lab and wild chronotypes. However, the first onset in LL had a positive relationship with <i>tau</i>, but only in males. Our results demonstrate that links between <i>tau</i> and phase of entrainment, postulated on theoretical grounds, may not consistently hold under natural conditions, possibly due to strong masking. This calls for more holistic research on how the many components of the circadian system interact with the environment to shape timing in the wild.
DOI: 10.6084/m9.figshare.27715404.v1
title: CIWW1km: China's 1 km and annual IWW depth and volume from 2000 to 2020

description: Using knowledge-guided machine learning and multisource data, we developed a new annual irrigation withdrawal product for China (2000-2020) at a 1 km resolution, named CIWW1km. The product provides both the irrigation withdrawal depth (in mm/year) and volume (in km³/year) for each 1 km grid.ny questions please feel free to contact: zhanglingky@lzb.ac.cn
DOI: 10.6084/m9.figshare.28928018.v1
title: Carpenter_data.csv

description: Results form serological sampling of desert bighorn sheep in California from 1983-2022.
DOI: 10.17632/4gnywgrdcb
title: Crop disease Strawberry disease

description: ### Data and Notable Findings
#### Data Collection
Data on strawberry diseases was gathered through various methods, including field observations, laboratory analyses, and the use of advanced imaging techniques. For instance, studies have used pre-trained models like VGG19, Inception V3, ResNet50, and DenseNet121 to identify diseases such as angular leaf spot, anthracnose, gray mold, and powdery mildew. Other research has employed real-time detection algorithms like YOLOv8, enhanced with mechanisms like CBAM attention and ODConv, to improve detection accuracy.

#### Notable Findings
1. **Disease Prevalence and Impact**:
 - **Anthracnose**: Caused by fungi like _Colletotrichum acutatum_, it affects foliage, runners, crowns, and fruit, leading to significant yield losses.
 - **Fusarium Wilt**: A soil-borne disease caused by _Fusarium oxysporum_, it thrives in warm conditions and can cause sudden wilting and death of plants.
 - **Neopestalotiopsis Leaf, Fruit, and Crown Rot**: An emerging fungal disease that affects all parts of the plant, causing significant crop loss in the southeastern US.
2. **Detection Accuracy**:
 - Transfer learning with deep convolutional neural networks (CNNs) has shown superior performance in identifying strawberry diseases. For example, ResNet-50 achieved an accuracy of 94.4%, highlighting the effectiveness of these techniques.
 - Enhanced models like YOLOv8, with incorporated improvements, have balanced accuracy, speed, and computation for real-time disease detection.

### Data Interpretation
#### Understanding the Data
The data indicates that different diseases have distinct symptoms and optimal conditions for development. For instance, anthracnose is most common on ripening or mature fruit, with whitish or tan lesions that turn brown and sunken. Fusarium wilt, on the other hand, causes yellowing and wilting of leaves, particularly under warm conditions. Neopestalotiopsis rot can cause leaf spots, crown infections with reddening of leaves, and fruit lesions with black sporulation.

#### Use of Data
The data can be used to:
1. **Inform Management Practices**: By understanding the conditions that favor disease development, growers can implement preventive measures such as using disease-free plants, proper irrigation, and sanitation.
2. **Guide Disease Detection**: Advanced detection methods, like those using deep learning, can help in early and accurate identification of diseases. This enables timely intervention, reducing the spread and impact of diseases.
3. **Develop Disease-Resistant Varieties**: Insights from the data can aid in breeding or selecting strawberry varieties that are more resistant to prevalent diseases.

In summary, the data highlights the significant impact of various diseases on strawberry crops and demonstrates the potential of advanced detection techniques to improve disease management and crop yield.
DOI: 10.17632/fkv6svysvz
title: Data for "The low dimensionality of post-stroke cognitive deficits – it’s the lesion anatomy!"

description: Additional online materials for Sperber, Gallucci & Umarova: "The low dimensionality of post-stroke cognitive deficits – it’s the lesion anatomy!"
including extended results and simulation scripts.
See the README file for more information
DOI: 10.6084/m9.figshare.27341877.v1
title: Characterization of muscle growth and sarcomere branching in the striated musculature of<i> C. elegans</i>

description: This is a dataset of JG images generated as snapshots of confocal micrographs obtained using a Leica SP8 confocal microscope at 63X magnification using the Lightning deconvolution mode. The images are of <i>C. elegans</i> nematodes body wall (striated) muscles. The animals were raised under different conditions in order to elicit different types of muscle growth. The impermeable cuticle of animals were then removed using the freeze-crack method and the f-actin in their muscles were stained following standard techniques. In this case we used green phalloidin. WGA was also used in some instances to stain muscle membranes. Worms were processed, mounted, and imaged the same afternoon during any one session. Myocytes were identified using anatomical features and measured as described in the accompanying preprint: <b>doi:</b> https://doi.org/10.1101/2024.08.30.610496.
DOI: 10.6084/m9.figshare.27824622.v1
title: Movie Classification Minimal

description: <pre>The data in this tutorial comes from a <i>*multi-label*</i> classification bot that categorizes movies into genres based on their names and short descriptions. For this use case, we have an evaluation set containing movies released before 2021 with their associated genres selected by movie critics.<br><br>This tutorial is a subset of the [full demo](https://llmdocs.deepchecks.com/docs/classification-demo-movie) which will focus on root cause analysis of a single version using the Deepchecks platform.</pre>