cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23589966.v2
title: cmnpd_teripang_final.csv

description: CMNPD export.xlsx: This file is 16 KB in size. Unfortunately, without further context or information about the content of the file, it is challenging to provide a specific description of its data.Disgenet.xlsx: This file is 3 MB in size. Disgenet is a database that provides information on the genetic basis of human diseases. The Disgenet.xlsx file likely contains data related to genetic associations and disease information.OMIM.xlsx: This file is 3 MB in size. OMIM (Online Mendelian Inheritance in Man) is a comprehensive database of human genes and genetic disorders. The OMIM.xlsx file likely contains data related to genes, genetic variants, and associated disease information.QSAR.xlsx: This file is 25 KB in size. QSAR (Quantitative Structure-Activity Relationship) is a method used in computer-aided drug design to predict the biological activity of molecules. The QSAR.xlsx file likely contains data related to chemical structures, molecular properties, and activity predictions.Target.xlsx: This file is 3 MB in size. Without further context or information, it is challenging to determine the specific content of the Target.xlsx file. It could potentially contain data related to target molecules, drug targets, or other relevant information.Target Raw.xlsx: This file is 3 MB in size. Similar to the previous file, without further information, it is difficult to provide a specific description. However, based on the name, it could contain raw or unprocessed data related to target molecules or drug targets.Venn.xlsx: This file is 3 MB in size. "Venn" typically refers to Venn diagrams, which are used to illustrate set relationships. The Venn.xlsx file likely contains data related to set intersections or relationships
DOI: 10.6084/m9.figshare.5765478.v1
title: Human Control Data

description: These are the individual human subject data files for the control conditions (4 x plugged mic. "HP" and 1 x mic. in syringe "HS").
DOI: 10.17632/7bmfgkkm3z
title: CBCovid19EC: A dataset Complete Blood Count and PCR test for COVID-19 detection in Ecuadorian population

description: The data set presents information from PCR as a commonly used test for diagnosing SARS-Cov-2 infection by obtaining a positive or negative result for Covid-19. The CBCovid19EC dataset includes values from the hemogram examination, describing blood components measured in men and women from 7 to 82 years of age. The blood biometry tests were performed in private laboratories in Quito, with samples taken from patients from different provinces of Ecuador. The patients agreed to share their data by participating in this study. In total, 377 records included data on age, gender, and date of sample collection for PCR and CBC examination.
DOI: 10.17632/hjbrf25mwx
title: Hebrew Scripts

description: The Hebrew dataset comprises pictures of Old Testament creations and a recently uncovered Hebrew text from Iraq.
DOI: 10.17632/p3txdrdth7
title: DISMA_Research Dataset (High-entropy alloys)

description: The DISMA research dataset includes the training dataset for ML model and ML prediction results. The dataset describe the mechanical properties and structures of high entropy alloys.
DOI: 10.17632/zznhv35vtb
title: Borrowing Constraints, North-South Trade and Sustainable Current Accounts in Neoclassical Growth

description: What are the consequences for per capita incomes, convergence rates, and capital accounts under conditions of free trade and borrowing frictions between rich and poor countries? In Andic (2024), I extend the standard neoclassical growth model by assuming free trade in intermediate goods and imperfect capital flows. Comparative advantage, based on productivities, sets the pattern of trade as the South specializing in less sophisticated intermediates and the North in more sophisticated ones. Southern countries are capital poor and borrowing constrained by assumption. In this setting, I first show that the South attains a lower per capita GDP in the long-run compared to the North. Yet, its rate of convergence is relatively higher. Second, I demonstrate that the constraint on borrowing is endogenous. Third, the South runs a current account deficit in the long-run with the North. Finally, I discuss trade can lead to gains in terms of per capita capital compared to autarky and improve the world average income. Quantitatively, my analysis reveals that long-run per capita income of the South is 15 percent of the North. The conditional convergence rate is around 9 percent in the South and 3 percent in the North. The borrowing limit is 24 percent leading to a current account deficit of 2.5 percent in the South and a surplus of 0.4 percent in the North. Both blocks have static gains from trade in the constrained open economy compared to an autarky, if not dynamically better off. The relative gain of the North is found to be higher. However, the world average income more than doubles when the borrowing constraint is eliminated.
This work employs publicly available data from the IMF Balance of Payments and International Investment Position, World Bank World Development Indicators, World Bank International Debt Statistics and PWT10. It uses Stata15 and Python PyCharm to generate all the figures and tables, which can be replicated with the codes and data files provided below.
Note that in the second version, Stata .do file named "fig1_2_3_15_16_table1_2_3" is updated. Now, it produces a different Figure 2 compared to the first version.
DOI: 10.6084/m9.figshare.25514572.v2
title: Inteligencia Artificial: creando material didáctico para Física y Química de la ESO

description: Datos suplementarios del trabajo enviado a la revista “<i>Aula</i>”:Vergara González, R. M. y Carrillo-Rosúa, J. (2024). Inteligencia Artificial: creando material didáctico para Física y Química en la ESO. Enviado a <i>Aula</i>.Contiene 4 anexos:Anexo I: Diagrama extenso de prompts y situaciones de aprendizaje numeradasAnexo II: Texto de entrada para la obtención de situaciones de aprendizaje con ChatGPT y PerplexityAnexo III: Ejemplo de situación de aprendizaje elaborada con ChatGPT v3.5Anexo IV: Tablas de análisis cuantitativo
DOI: 10.6084/m9.figshare.3543857.v1
title: Appendix C. Summary of linear discriminant analysis of 13C variation among seven and three essential amino acids.

description: Summary of linear discriminant analysis of 13C variation among seven and three essential amino acids.
DOI: 10.25452/figshare.plus.22806455.v2
title: Dataset supporting Figure 3: Generalist/Specialist Analyses

description:   
<strong>Organisms exhibit extensive variation in ecological niche breadth, from very narrow (specialists) to very broad (generalists). Paradigms proposed to explain this variation either invoke trade-offs between performance efficiency and breadth or underlying intrinsic or extrinsic factors. We assembled genomic (1,154 yeast strains from 1,090 species), metabolic (quantitative measures of growth of 843 species in 24 conditions), and ecological (environmental ontology of 1,088 species) data from nearly all known species of the ancient fungal subphylum Saccharomycotina to examine niche breadth evolution. We found large interspecific differences in carbon breadth stem from intrinsic differences in genes encoding specific metabolic pathways but no evidence of trade-offs and a limited role of extrinsic ecological factors. These comprehensive data argue that intrinsic factors driving microbial niche breadth variation</strong>. 
<br>
This item includes raw and underlying data associated with Figure 3 in the manuscript. 
<br>
These items were used to assess the evolution and frequency of the generalist and specialist niche breadth in the budding yeasts.
<br>
Each item includes a README.txt file that includes specific information about the analysis, file structure, and folder structure. 
<br>

 <strong>bayes_carb_v_class_coevolution.tar.gz </strong> - Bayestraits outputs to compare gain and loss of carbon metabolism traits in generalist and specialist backgrounds. Includes data shown in Fig 3D
 <strong>bayes_carbon_nitrogen_coevolution.tar.gz</strong> - Bayestraits outputs for the analysis that modeled co-evolution between carbon and nitrogen breadth. Data discussed in the manuscript
  <strong>carbon_breadth_reconstruction.tar.gz</strong> - Bayestraits ancestral reconstruction of carbon breadth
 <strong> CarbonNitrogen_Classifications.zip </strong>- Data file containing information about carbon and nitrogen classifications
DOI: 10.6084/m9.figshare.28660298.v1
title: Surge pricing datasets

description: Datasets for testing a static surge pricing model for revenue management of on-demand service platforms.
DOI: 10.6084/m9.figshare.14229758.v1
title: Animal Activity Data_10min measurements.csv

description: The file contains the data of tha animal activity registered during 6 cycles in a weaned piglet comercial farm (6-20kg body mass) using a passive infrared detector. <br><br>Data were obtained in a 10min interval, following the method proposed in "https://doi.org/http://dx.doi.org/10.1016/j.biosystemseng.2017.06.014."<br><br>Each cycle last for 40-42 days.<br><br>The data were obtained with a PID (OPTEX RX-40QZ ) mounted at 2.8 m high over the entrance door in a weaned piglets room with 300 animals capacity. <br><br>The room has a dimension of 12x6m.<br>
DOI: 10.6084/m9.figshare.17702045.v2
title: Temporal single cell and bulk RNA sequencing data of adult mouse spinal cord after injury

description: For single cell RNA sequencing dataset, the 10× Genomics platform was used to perform massive single cell mRNA profiling from mouse spinal cord samples collected at 6 different time points after Spinal Cord Injury (crush injury), i.e., 4h, 1d, 3d, 7d, 14d, and 38d post injury. Uninjured spinal cord samples are included as well. Both male and female C57BL/6 mice were used in the analyses, 10mm-long spinal cord segments encompassing the lesion site were dissociated into single cells through our proprietary method developed based on published studies<sup>1,2</sup>. For non-injury controls, male and female spinal cord samples were sequenced separately, and male and female scRNA-seq data overlapped rather well. For bulk RNA sequencing, 1 cm long spinal cord segments centered on leison core, average of 20 mg, at 15min, 1d, 3d, 7d, 14d, 28d, 42d after injury, were homogenized in 1 ml TRIzol (Invitrogen), and mRNA was extracted and purified by RNeasy Mini Kit (QIAGEN) according to the manufacturer’s instructions. The qualities of RNA were determined by Agilent 2100. 1-3 μg qualified RNA were subjected to Illumina V2 RNAseq library construction, followed by Hiseq2000 SE50bp Sequencing.
DOI: 10.6084/m9.figshare.5829816.v1
title: List of software repositories

description: Repositories of object-oriented software projects included in the structural and logical coupling data sets
DOI: 10.14749/27623931
title: South African National HIV Prevalence, HIV Incidence, Behaviour and Communication Survey (SABSSM) 2005: Combined data - All provinces

description: <p> The SABSSM 2005 (SABSSM II) survey had four questionnaires (Visiting point, 2 to 11 years old, 12 to 14 year old and 15+ years olds). In the combined data set, three individual data sets were combined together: the guardian data (2 to 11 years old), the child data (12 to 14 year old) and youth and adult (15+ years old). In combining these data sets, only questions that were common to all the data sets were combined together to create a composite data file that could be used to analyze data. The data file included demographic variables, HIV test results and sexual behavioural variables for those aged 15 years and above.</p><p> The data set contains 31 variables and 23275 cases.</p>
DOI: 10.17632/6v53kfxf46
title: A video dataset on agricultural words in Indian sign language

description: The dataset includes the videos of the dynamic hand gestures for the agricultural words from Indian sign language (ISL).  This dataset is used in a work on the recognition of hand gestures for the Indian sign language (ISL) words commonly used by deaf farmers. A hybrid deep learning model with convolutional long short term memory (LSTM) network has been exploited for gesture classification. The model has attained an average classification accuracy of 76.21% on the proposed dataset of ISL words from the agricultural domain. The work is published in the journal Expert Systems with Applications https://www.sciencedirect.com/science/article/abs/pii/S0957417421010009.
DOI: 10.6084/m9.figshare.3384127.v1
title: Normes du RMET 32 items et du Ekman 35 items

description: Les normes du RMET à 32 items et de l'Ekman à 35 items sur plus de 500 sujets.
DOI: 10.6084/m9.figshare.7706060.v1
title: Additional file 3: of Analysis of two birth tissues provides new insights into the epigenetic landscape of neonates born preterm

description: DNA methylation data for cord blood. (PHENO 2410 kb)
DOI: 10.6084/m9.figshare.13020569.v2
title: Protocol data (R version)

description: We published 3 protocols illustrating how MetaNeighbor can be used to quantify cell type replicability across single cell transcriptomic datasets.<br>The data files included here are needed to run the R version of the protocols available on Github (https://github.com/gillislab/MetaNeighbor-Protocol) in RMarkdown (.Rmd) and Jupyter (.ipynb) notebook format. To run the protocols, download the protocols on Github, download the data on Figshare, place the data and protocol files in the same directory, then run the notebooks in Rstudio or Jupyter.<br>The scripts used to generate the data are included in the Github directory. Briefly: - full_biccn_hvg.rds contains a single cell transcriptomic dataset published by the Brain Initiative Cell Census Network (in SingleCellExperiment format). It combines data from 7 datasets obtained in the mouse primary motor cortex (https://www.biorxiv.org/content/10.1101/2020.02.29.970558v2). Note that this dataset only contains highly variable genes. - biccn_hvgs.txt: highly variable genes from the BICCN dataset described above (computed with the MetaNeighbor library). - biccn_gaba.rds: same dataset as full_biccn_hvg.rds, but restricted to GABAergic neurons. The dataset contains all genes common to the 7 BICCN datasets (not just highly variable genes). - go_mouse.rds: gene ontology annotations, stored as a list of gene symbols (one element per gene set).- functional_aurocs.txt: results of the MetaNeighbor functional analysis in protocol 3.
DOI: 10.6084/m9.figshare.28588878.v1
title: Functional enrichment full results from Sperm-borne mRNAs: potential roles in zygote genome activation and epigenetic inheritance

description: List of significantly enriched terms obtained for sperm-borned mRNAs
DOI: 10.6084/m9.figshare.14376980.v2
title: Nickel-manganese variability in olivine and Al-in-olivine thermometry for olivine-phyric shergottites

description: This supplementary information contains olivine and spinel EPMA data for a suite of 13 olivine-phyric shergottites alongside Al-in-olivine thermometry calculations. <br><b><br></b><b>T1. </b>EPMA Olivine data for olivine-phyric shergottites.<b><br></b><b><br></b><b>T2. </b>EPMA Spinel data for olivine-phyric shergottites.<b><br></b><b><br></b><b>T3. </b>Al-in-olivine Thermometry for olivine-phyric shergottites.<br><br><b>T4. </b>EMPA Secondary Standards<b><br></b><b>A1. </b>Olivine Fractional Crystallization Models.<br>
DOI: 10.6084/m9.figshare.23899035.v1
title: Integrating databases for spatial analysis of parasite-host associations and the novel Brazilian dataset

description: We provided the NCBI Nucleotide and GBIF data of zoonotic microparasites used in the analysis to evaluate the geographycal and host/source information. This dataset also includes the lists of zoonotic microparasites, Brazilian wild mammals, and primary papers used to search all data retrieved from NCBI Nucleotide and GBIF databases, and to construct Brazilian Mammal Parasite Occurrence Data (BMPO). The BMPO is a new parasite-host association dataset, representing the best information currently available on parasite-host associations in Brazilian regions. The BMPO comprases parasites associated with mammal species identified in Brazil, morphological and life-history traits of mammal species and parasite epidemiological traits, precisely transmission mode and zoonotic status. This new dataset can be used to address questions related to (i) which species parasite wild free-ranging native mammals, (ii) which species comprise parasite hosts, (iii) where are the parasites located, and (iv) which parasites are found in a certain region. It also can be used to identify: i) priority areas for parasite surveillance and ii) priority species (host or parasite) for monitoring in Brazil.Auxiliary scripts and datasets are found here.<b>Funding:</b> Synthesis on Biodiversity and Ecosystem Services (SinBiose) financial project MCTI/CNPq 442410/2019-0.
DOI: 10.6084/m9.figshare.25074398.v1
title: SC213 and SC214 expression matrix

description: Exploring new pathogenesis and targets of retinal neovascular diseases, and providing more effective interventions for pathological neovascularization.
DOI: 10.6084/m9.figshare.26270122.v1
title: <b>Skull sinuses precluded extinct crocodile relatives from cetacean-style deep diving as they transitioned from land-to-sea</b>

description: Dataset for 'Skull sinuses precluded extinct crocodile relatives from cetacean-style deep diving as they transitioned from land-to-sea'. https://doi.org/10.1098/rsos.241272
DOI: 10.6084/m9.figshare.29147696.v1
title: Planting Area Distribution of Early Rice in Sanya, Hainan Province, China from 2019 to 2024 (10 m)

description: In March 2022, the team conducted an in-depth survey of the distribution of paddy fields in Sanya. All members held handheld GPS devices and combined Google Map HD images to collect on-site data. After careful proofreading and visual interpretation, the data of 10,019.7 hectares of paddy fields were successfully collected. Following this investigation, in April 2024, I once again conducted field visits to the rice planting concentration areas in Yazhou District and Tianya District of Sanya, and obtained a total of 441 hectares of early rice planting area in 2024 in Sanya.Based on the above field survey data, this team developed a rice remote sensing recognition framework suitable for humid and cloudy areas. In this framework, rice growth-related vegetation index (NDVI, LSWI, NDWI) is integrated into the process of remote sensing image synthesis, and the midyear value of vegetation index is used as the quality band to eliminate the interference of cloud cover to a certain extent, and the commonly used image pixel median synthesis method is used to form four sets of rice image data in Sanya. Four sets of image data were combined with ResNet-34 deep learning model to build a rice planting area recognition model. Based on the rice planting distribution recognition model, the team used LSWI synthetic remote sensing image to inversion the planting area of early rice in Sanya, and the results were uploaded to the compressed package.
DOI: 10.6084/m9.figshare.5504941.v1
title: SQLite database file with extracted herbal formulas and source information

description: SQLite database file with extracted herbal formulas and source information
DOI: 10.6084/m9.figshare.18093890.v1
title: UAV-based solar photovoltaic detection dataset

description: This dataset contains unmanned aerial vehicle (UAV) imagery (a.k.a. drone imagery) and annotations of solar panel locations captured from controlled flights at various altitudes and speeds across two sites at Duke Forest (Couch field and Blackwood field). In total there are 423 stationary images and corresponding annotations of solar panels within sight, along with 60 videos taken from flying the UAV roughly at either 8 m/s or 14 m/s. In total there are 2,019 solar panel instances annotated.<b><br></b>Associated publication:<b><br></b>“Utilizing geospatial data for assessing energy security: Mapping small solar home systems using unmanned aerial vehicles and deep learning” [https://arxiv.org/abs/2201.05548]<b><br></b>Data processing:<b><br></b>Please refer to this Github repository for further details on data management and preprocessing: https://github.com/BensonRen/Drone_based_solar_PV_detection. The two scripts included enable the user to reproduce the experiments in the paper above.<b><br></b>Contents:<b><br></b>After unzipping the package, there will be 3 directories:<b><br></b>1. Train_val_set: Stationary UAV images (.JPG) taken at various altitudes in the Couch field of Duke Forest for training and validation purposes, along with their solar PV annotations (.png)<b><br></b>2. Test_set: Stationary UAV images (.JPG) taken at various altitudes in the Blackwood field of Duke Forest for test purposes, along with their solar PV annotations (.png)<b><br></b>3. Moving_labeled: Images (img/*.png) capture from videos moving with two speed modes (Sport: 14m/s, Norma: 8m/s) at various altitudes and their solar PV annotations (labels/*.png)<b><br><br><br></b>For additional details of this dataset, please refer to REAMDE.docx enclosed.<b><br><br></b>Acknowledgments: This dataset was created at the Duke University Energy Initiative in collaboration with the Energy Access Project at Duke and RTI International. We thank the Duke University Energy Data Analytics Ph.D. Student Fellowship Program for their support. We also thank Duke Forest for use of the flight zones for data collection.<br>
DOI: 10.6084/m9.figshare.18866465.v1
title: Raw data of RIP-seq

description: Confluent HBMECs (4×10<sup>7</sup>) organized in a monolayer were harvested for the sample preparation of RIP-sequencing. RNA-protein complexes were immunoprecipitated with antibodies targeted to occludin, then high-throughput sequencing was performed to sequence the RNAs that were taken down.
DOI: 10.6084/m9.figshare.26827141.v1
title: Raw data for Yuan et al., STOTEN 2024

description: Raw data for Yuan et al., 2024 STOTEN.
DOI: 10.6084/m9.figshare.7898003.v2
title: Surface impedance of porous multilayers

description: Surface impedance measured in a Kundt's tube of different porous multilayer configurations. Each file contains the frequency values and the complex-valued surface impedance with in a rigid-backed configuration or backed by an air gap of 20mm. The thickness of sample 1 (recycled foam) is 32mm and the thickness of sample 4 (fibrous material) is 45mm.<br>
DOI: 10.17632/73r7pxtc5d
title: PCOS and QoL
DOI: 10.17632/cs77h83t53
title: Dataset on Ethical Climate, Organizational Commitment and Career Satisfaction.

description: This dataset belongs to the survey conducted for capturing the Ethical Climate, Organizational commitment and Career Satisfaction from employees working in different service sector organization settings in Uttar Pradesh, Rajasthan, and Delhi, India. For the purpose of data collection, a questionnaire was developed borrowing validated scales from previous literature.