cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12456185.v2
title: Compiled hominin cranial thickness data

description: This is the data for hominin cranial thickness appearing in a manuscript titled "New hominin remains and revised context from the earliest <i>Homo erectus</i> locality in East Turkana, Kenya" by Hammond et al. (submitted to Nature Communications; last revision 2021). Data were originally compiled primarily by Copes and Kimbel (2016; Cranial vault thickness in primates: Homo erectus does not have uniquely thick vault bones. J Hum Evol, 90: 120-34) and supplemented with newer data from published literature.
DOI: 10.6084/m9.figshare.24248695.v1
title: 九寨沟.xlsx

description: This data is the number of people entering the ditch in Jiuzhaigou from January 1, 2015 to July 20, 2023, of which some data in 2017 is missing due to the earthquake
DOI: 10.6084/m9.figshare.25443658.v1
title: Fixed-Wing Unmanned Aerial Vehicle 3D-Model-Based Tracking for Autonomous Landing

description: Video + Annotation (X, Y, Z, α, β, γ)For additional details, please check the following article: <br>Nuno Pessanha Santos, Vitor Lobo and Alexandre Bernardino, <i>Fixed-Wing Unmanned Aerial Vehicle 3D-Model-Based Tracking for Autonomous Landing </i>in <i>Drones</i> 7<b>, </b>243, 2023.<br>DOI: <b>https://doi.org/10.3390/drones7040243</b>
DOI: 10.6084/m9.figshare.26015932.v1
title: Electronic cigarette raw data

description: A raw data of our paper entitled "The Intention of Millennials and Generation Z in Using Electronic Cigarettes: The Role of Social Influence, Price, and Perceived Health Impact"
DOI: 10.6084/m9.figshare.27215064.v4
title: ChinaWR: a high-resolution and long-term gridded water resources dataset for China based on machine learning

description: We develop a new water resources dataset for China, referred to as ChinaWR, providing 1 km and monthly estimates of surface, groundwater, and total water resources (SWR, GWR, and TWR) from 1980 to 2020. ChinaWR was generated using a random forest model based on high-resolution (prefecture-level) data reported in the Water Resources Bulletins of China.All the data are stored in NetCDF files. The file naming format follows the template ChinaWR_VV_SSSdeg_YYYYMM.nc (e.g., ChinaWR_SWR_010deg_198001.nc), where VV represents the variable name, SSS indicates the spatial resolution (with the decimal point omitted), YYYY denotes the four-digit year, and MM represents the two-digit month. For more detailed information, please refer to the attributes of each NetCDF file.Any questions please feel free to contact: zhanglingky@lzb.ac.cn
DOI: 10.6084/m9.figshare.28378082.v1
title: Protist communities are correlated with abiotic soil factors, but not resources, prey, or predators along a subalpine secondary succession

description: The dataset comprises raw data used in the manuscript <i>"Protist communities are correlated with abiotic soil factors, but not resources, prey, or predators along a subalpine secondary succession."</i> The data were collected across various stages of secondary succession in southwestern China, encompassing early-successional grasslands and shrublands to late-successional forests. These forest stages include secondary birch, spruce, and larch forests, as well as primary forests. The dataset encompasses a diverse range of soil organisms, including soil fungi, bacteria, invertebrates, and protists. The data are organized into multiple Excel files, containing the original sequencing data for all sampled organisms. Additionally, a separate dataset provides the labels corresponding to the sampling points, ensuring clarity in sample identification and analysis.
DOI: 10.25380/iastate.12644859.v1
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2006

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2006 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.6084/m9.figshare.11762655.v1
title: Intracellular recordings showing difference in activity between gamma and alpha rhythms in L4 principal cells

description: Glass microelectrode (sharp) intracellular recordings of V1L4 pyramids (L4 pyr in filename) or stellate cells (stellate in filename) during population gamma rhythms and alpha rhythms. Most recordings are passive (i.e. at rmp once impaled) and from somata. Dendritic recordings are labelled as such in the filename.
DOI: 10.6084/m9.figshare.14249912.v1
title: Rapid deforestation of a coastal landscape driven by sea level rise and extreme events — classified_maps (GeoTIFF)

description: These data accompany the 2021 manuscript published in Ecological Applications titled "Rapid deforestation of a coastal landscape driven by sea level rise and extreme events". In this manuscript, researchers used the Landsat Image record to classify coastal vegetation and is changes from 1985-2019 in the Alligator River National Wildlife Refuge in North Carolina. <br>This specific dataset is a GeoTIFF file depicting the classified maps of the study region from 1985-2019. The GeoTiff contains 23 bands, corresponding to the years of analysis and 10 bands corresponding to environmental characteristics including the predictor variables elevation, distance to coast, distance to channel. The pixel values of the raster correspond to vegetation classifications {1 = pine, 2 = deciduous, 3 = marsh, 4 = ghost forest, 5 = shrub, 6 = burn, 7 = dry pine}. Refer to the publication for a description of how the images were classified.
DOI: 10.6084/m9.figshare.23574441.v4
title: Accurate Identification of Micro-scale Urban Functional Zoning Based on A Novel Data Type

description: With the advancement of global urbanization, accurate identification of urban functional zones has become a crucial task for the high-quality development of cities. Traditional methods that rely on POI (Points of Interest) data are insufficient to accurately identify micro-scale urban functional zones. Thus, this study proposes a novel method for identifying urban functional zones based on VOI (Volume of Interest) data and applies it to a small region in Hong Kong for comparative research. Subsequently, the identification accuracy of the two methods is assessed using a confusion matrix and the Kappa Coefficient. The results show that the VOI data contains richer and more comprehensive urban spatial information compared to POI data, enabling a superior representation of connections and influences among different zones within cities. The study can be applied to analyse micro-scale urban functional zones in other cities, providing a new perspective for the in-depth research.
DOI: 10.6084/m9.figshare.25647942.v1
title: Calibration files for processing raw Moon images

description: These files contain the calibrations of two imaging systems used to record Moon polarization data and are necessary to process the raw data contained in this project.
DOI: 10.6084/m9.figshare.27798426.v1
title: Tasa_de_empleados_1000.xlsx

description: Registro de tasa de empleabilidad
DOI: 10.6084/m9.figshare.28685312.v33
title: Supplementary Material for: Evidence on protective factors for dementia and cognitive impairment in older adults: an umbrella review

description: Introduction: Dementia represents a global public health challenge, and no conclusive evidence exists on how to prevent its onset or at least reduce the risk. This umbrella review aims to identify interventions or exposures that can reduce the incidence of dementia or cognitive impairment.
Methods: A search of meta-analyses and systematic reviews published from 2018 to 2025 (January) was conducted across four databases. Articles assessing associations between interventions or exposures to protective factors and incidence of dementia or cognitive decline in non-demented older adults were selected.
Results: Out of 6,324 articles, 177 underwent full-text screening, and 17 were included. They showed that psychosocial factors (social engagement, purpose in life, life satisfaction, and cognitive reserve) and influenza vaccination protect against dementia. Evidence on antihypertensives is promising, while evidence on low-dose aspirin is promising yet inconclusive. No clear results emerged for both single- and multi-domain lifestyle interventions.
Conclusions: These results offer new insight on potential targets for dementia prevention, a global public health priority. In particular, favorable psychosocial factors and influenza vaccination, undervalued in the scientific debate on dementia prevention, emerged as promising and feasible targets for preventive initiatives. Future research should focus on fine-tuning interventions to promote brain health, exploring their underlying mechanisms, and developing targeted and personalized strategies for specific population subgroups.
DOI: 10.6084/m9.figshare.29085950.v1
title: Effect of atmospheric turbulence anisoplanatism toward LEO satellite-to-ground laser communications link

description: During Low Earth Orbit (LEO) satellite-to-ground laser communication (SGLC), atmospheric transmission conditions exhibit dynamic variability along the satellite’s trajectory. This spatiotemporal variation gives rise to anisoplanatism in atmospheric turbulence across different optical paths. To investigate this phenomenon, this project provides datasets including star maps and atmospheric turbulence intensity estimations. These datasets were obtained using the Atmospheric Turbulence Measurement System (ATMS), which enables multi-path monitoring of key turbulence parameters.
DOI: 10.6084/m9.figshare.3833580.v1
title: Supplementary Material for: Nationwide Evaluation of Congenital Hypothyroidism Screening during Neonatal Extracorporeal Membrane Oxygenation

description: <i>Background:</i> Thyroid hormone concentrations may deviate from normal values during critical illness. This condition is known as nonthyroidal illness syndrome (NTIS), and it can influence the results of screening for congenital hypothyroidism (CH) during neonatal extracorporeal membrane oxygenation (ECMO). <i>Objectives:</i> To determine the incidence of aberrant CH screening results in ECMO-treated neonates, to identify possible determinants, and to follow up patients with abnormal thyroid hormone concentrations. <i>Methods:</i> In this retrospective cohort study, we included 168 ECMO-treated neonates admitted from 2004 to 2014 and screened by protocol and divided them into the following 3 groups: group 1 (screened during ECMO, n = 107), group 2 (screened shortly before ECMO, n = 26), and group 3 (screened shortly after ECMO, n = 35). <i>Results:</i> CH screening results were aberrant in 67.3% (72/107) of the neonates screened during ECMO, in 73.1% (19/26) of the neonates screened before ECMO, and in 31.4% (11/35) of the neonates screened after ECMO (p &lt; 0.001). Of the neonates with an aberrant screening result, all but 2 (i.e. 98%) had a low thyroxine concentration with a normal thyrotropin concentration at screening, as is seen in NTIS. None was diagnosed with CH. Mortality did not significantly differ between neonates with an aberrant screening result (32.4%) and neonates with a normal screening result (22.7%; p = 0.18). Screening before ECMO (OR 5.92; 95% CI 1.93-18.20), screening during ECMO (OR 4.49; 95% CI 1.98-10.19), and a higher Pediatric Logistic Organ Dysfunction-2 score (OR 1.31; 95% CI 1.04-1.66) were associated with an aberrant screening result. <i>Conclusions:</i> Aberrant CH screening results were found in most ECMO-treated neonates screened before or during ECMO, which is likely due to NTIS. Follow-up of thyroid hormone concentrations is best started after recovery from critical illness. Our results suggest that thyroxine therapy is not required during ECMO.
DOI: 10.6084/m9.figshare.11911269.v1
title: FB15k-237

description: FB15k-237 dataset is derived from FB15k, with data removed to eliminate test-set leakage due to inverse relations. WN18RR contains 310116 triples, connecting 14541 entities via 237 relations.<br><br>Information about FB15k: This FREEBASE FB15k DATA consists of a collection of triplets (synset, relation_type, triplet) extracted from Freebase (http://www.freebase.com). This data set can be seen as a 3-mode tensor depicting ternary relationships between synsets. <br>All *.txt files contain one triplet per line, with 2 mids (unique Freebase entity identifier) and relation type identifier in a tab separated format. The first element is the mid of the left hand side (of head) of the relation triple, the third one is the mid of the right hand side (or tail) and the second element is the name of the relationship between them. <br><br>The FB15k-237.zip file contains the other files, with more compression than the default "download all".
DOI: 10.6084/m9.figshare.12200438.v1
title: segmentations of mouse trabeculae

description: Grey scale image stacks (TIFF) of segmented trabecular bone from below the proximal growth plate of both tibiae obtained from 12 female C57BL/J6 mice.<br>All mice underwent sciatic neurectomy to their right hindlimb at 12 weeks of age, to model osteoporosis.<br>Four mice were euthanised and their bones dissected after each of 3 time points: 5,35, and 65 days after the surgery. All tibiae were imaged in X-ray microcomputed tomograph (Skyscan 1172, Bruker microCT, Kontich, Belgium) at 5 µm voxel size and grey scale images were reconstructed using NRecon 1.7.1.0.<br>File names reflect the mouse ID, timepoint of euthanasia and whether the sample is from the left or right hindlimb, so e.g. the file 'mouse-35.3R-segmented-grey-scale' is from the right hindlimb of mouse number 3 of the ones that were taken 35 days post-surgery (so at 12 weeks + 35 days of age).<br>Segmentation was done manually using CTan.<br>Ethical approval for the animal procedures was carried out in accordance with the Animals (Scientific Procedures) Act 1986, an Act of Parliament of the United Kingdom, approved by the Royal Veterinary College Ethical Review Committee and the United Kingdom Government Home Office under specific project license, and followed ARRIVE (Animal Research: Reporting of In Vivo Experiments) guidelines.<br>
DOI: 10.6084/m9.figshare.13669739.v3
title: dataset

description: The original data to produce the figures in this paper.
DOI: 10.6084/m9.figshare.27601023.v1
title: Communicating Sustainable Tourism on Instagram.csv

description: The Data is used to examine how sustainable tourism stakeholders use Instagram to engage eco-conscious travelers. Using data-mining and content analysis, it analyzes visuals, hashtags, and captions to uncover effective strategies for promoting sustainability. Findings offer insights for tourism marketers to bridge the gap between environmental awareness and consumer action.
DOI: 10.17632/sgdyy3nh6w
title: 13 years of Laryngeal Tweets

description: 13 years of Laryngeal Tweets extracted from Twitter
DOI: 10.6084/m9.figshare.14132507.v1
title: data

description: This directory contains the MNIST dataset and its models.
DOI: 10.6084/m9.figshare.17276093.v1
title: Single Cell RNA-Seq And Cell Type Marker Genes

description: single-cell RNAseq (P60 CD133<sup>+</sup>Blbp-EGFP<sup>+</sup> mNSC) expression matrix. Marker genes of all cell types in P60 mNSC
DOI: 10.6084/m9.figshare.20252016.v1
title: Heart Image Data Set for chatbot to predict need of stent in cardiac treatment

description: The data set consists of Angiogram images of patients visiting on cardiac issues.The zip file has got two folders of Train set and Test set. Each sub folder has got another to folders of Stent and No stent indicating the set of images whic ould require patient to undergo administering of stent or patient can avoid getting stent respectively. There are around 438 images in total out of which 100 are used for testing purpose and reamining for training the ML Model.
DOI: 10.6084/m9.figshare.21201616.v5
title: Hammond_et-al_2019_Microglia_anndata_Objects

description: Single cell anndata objects for data in: Hammond TR, Dufort C, Dissing-Olesen L, Giera S, Young A, Wysoker A, Walker AJ, Gergits F, Segel M, Nemesh J, Marsh SE, Saunders A, Macosko E, Ginhoux F, Chen J, Franklin RJM, Piao X, McCarroll SA, Stevens B (2019). Single-Cell RNA Sequencing of Microglia throughout the Mouse Lifespan and in the Injured Brain Reveals Complex Cell-State Changes. <em><strong>Immunity</strong></em><strong>,</strong> 50(1):253–271.e6. doi.org/10.1016/j.immuni.2018.11.004. PMID: 30471926. <br> Details on object creation and use can be found in related GitHub Repo: https://github.com/samuel-marsh/Hammond-et-al_2019_Microglia_scRNAseq
DOI: 10.6084/m9.figshare.21796550.v1
title: neuro* educational Scopus Database

description: Database used for the bibliometric study on neurosciences and education (or pedagogy) in order to find the links with complex thinking.
DOI: 10.6084/m9.figshare.28586381.v1
title: Cable-catch retrofit - Cable sag.csv

description: Data from the testing of cable-catch retrofits, providing the sag measurements
DOI: 10.6084/m9.figshare.7717187.v1
title: Additional file 4 of Dynamic inosinome profiles reveal novel patient stratification and gender-specific differences in glioblastoma

description: Table S3. Editing sites characterizing the GBM subtypes. On the first sheet are shown the identified editing positions and in the second one are indicated the differential editing index (DEI) values. (XLSX 20 kb)
DOI: 10.17632/6475rnj8vy
title: Machine Learning in Action: Topic-Centric Sentiment Analysis and Its Applications

description: This article discusses topic-level sentiment analysis using machine learning techniques
such as topic modeling and Latent Dirichlet allocation (LDA). Topic modeling is an
unsupervised machine learning method that clusters words in a document set without
the need for pre-defined training data. Although quick and easy to start with, it may
not always yield accurate results. In contrast, supervised machine learning techniques
like topic classification models require training and manual labeling for better
accuracy, providing more valuable insights for data-driven decision-making. LDA, a
popular topic modeling technique, assumes that similar topics use similar words and
documents discuss multiple topics. It maps documents to a set of topics based on word
distributions and ignores grammatical information, treating documents as bags of
words. LDA uses hyperparameters alpha and beta to control the similarity between
documents and topics. The number of topics must be set manually, and recent research
has focused on optimizing these hyperparameters. The article also includes a table
showing the probability of words belonging to different topics as identified by LDA
[1, 2, 3, 4].
DOI: 10.17632/7y2w8nd863
title: Data for: Quantitative analyses of global river discharge variability and hydrograph shape

description: Supplementary Table 1: 575 river gauging stations and defining metrics. Rivers with a (*) are non-pristine according to the GRDC and rivers with a (†) had their climate zone classification adjusted to reflect the climate zone along the majority of the river length, rather than at the station location.
DOI: 10.17632/ksk47h2hsh
title: Ancient Discovery

description: The dataset was collected from hanziyuan(https://hanziyuan.net) and zdic (https://www.zdic.net/) contains two folders: ancient_5_ori and ancient_3_exp. The dataset is used for the GitHub project (https://github.com/Ruixinhua/AncientDiscovery). We include five Chinese writing systems in total and used three of them to test our model.
DOI: 10.17632/t8bvm2cspk
title: DG-SBM 2020

description: The drum granulator for seeds DG-SBM 2020 was designed to mechanize seedball production in rural areas. This machine was constructed and tested at Institute of Agricultural Engineering, Tropics and Subtropics Group, University of Hohenheim. The design was a low-cost and simple to enable a feasible local reproduction.  The construction of the machine was divided into three major parts, such as metal frame, rotary drum and mechanical system. The metal frame functions as the main structure, where all the machine parts are attached. The rotary drum can be any cylindrical open containers made of metal, plastic or wood. The mechanical system consists of moving parts, such as electric motor, roller, pulley and V-belt, which generate a rotary motion for the drum to form seedballs from a raw material blend (sand, loam, wood ash and seeds). In order to ensure size homogeneity of the seedballs, a perforated shovel with a defined hole diameter could be used to collect the seedballs from the drum. The machine performance could be evaluated at different rotational speeds of the rotary drum using different amount of water addition to the material blend.
DOI: 10.6084/m9.figshare.16912156.v1
title: Supplementary Material for: The Impact of COVID-19 Lockdown on Weight Loss Program in Infertile Polycystic Ovary Syndrome Women with Obesity

description: <b><i>Introduction:</i></b> Lockdown due to the COVID-19 pandemic has caused gym closures and adjustments to ongoing weight loss programs were needed in order to keep the programs running. Little is known whether adjustments affected the success of weight reduction. Weight reduction of at least 5% is related to improved fertility and better pregnancy outcomes in obese women. This study compared success of the weight loss program in infertile polycystic ovary syndrome women with obesity who attended the program before and during lockdown due to COVID-19 pandemic. Furthermore, we checked whether there were any differences in spontaneous pregnancy rates between both groups at the end of the program. <b><i>Methods:</i></b> Altogether, 27 women were prospectively included to the weight loss program. Twelve women attended the 8 – week program before COVID-19 pandemic. Fifteen women began the program before the lockdown and ended it during lockdown. Due to lockdown, the program was prolonged for 4 weeks and taken online. <b><i>Results:</i></b> On average, prior to lockdown women achieved a BMI reduction of 6.8% whereas women that attended the program during the lockdown reduced their BMI for 3.7%. This difference was not statistically significant. No significant differences were seen in other measured anthropometric and endocrine parameters between both groups. Furthermore, there were no differences in spontaneous pregnancy rates between both groups. In women who reduced their BMI for 5% or more, spontaneous pregnancy rate was 29.4%. <b><i>Discussion/Conclusions:</i></b> Although statistical significance has not been reached in the present study, we have shown that lockdown due to COVID-19 pandemic has led to almost half lower BMI reduction despite adaptations and longer duration of the weight loss program. On average, BMI in the group of women that attended the program during lockdown was 3.7% lower after the end of the weight loss program. This means they did not reach the wanted 5% reduction which is known to improve fertility. We have also shown that weight reduction is the correct approach for treating infertile women with obesity, as almost 30% of those who reduced their body weight by 5% or more conceived spontaneously.
DOI: 10.6084/m9.figshare.26776738.v1
title: <b>Dataset:</b> <b>Latin to English</b>, Conjugated Verbs, All Classes

description: Latin Verb Conjugation in All Forms and Classes for Exclusion Training: Includes Correct and Mixed Forms for Comprehensive Consolidation