cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.15081633.v1
title: CINCHONA REAL EXPEDICION DATA.xlsx

description: This dataset contains an overview of two Cinchona collections at the Economic Botany Collection, Royal Botanic Gardens, Kew and Real Jardín Botánico, CSIC, Madrid. This providesdata for the paper <b>Reconnecting the <i>Cinchona</i> (Rubiaceae) collections of <i>La Real Expedición Botánica al Virreinato del Perú</i> (1777-1816) at Madrid and Kew.</b><b></b>
DOI: 10.6084/m9.figshare.24746100.v1
title: Visualizations of AI in German news media coverage (2019)

description: We have conducted a quantitative visual content analysis of illustrated German national print media coverage on AI between January 1 and December 31, 2019. As news media titles, we chose six (leading) national quality newspapers and news magazines in Germany, namely: Süddeutsche Zeitung (SZ), Frankfurter Allgemeine Zeitung (FAZ), Die Welt (DW), taz, Der Spiegel, and Die Zeit. All illustrated articles during the analysis period that contained the keywords ‘artificial intelligence’ or ‘AI’[1] in their headline or subtitle (focus on articles that cover AI as a main topic) were selected for analysis. Our search resulted in 225 news articles, of which 127 were illustrated (56%) with n = 150 images in sum (some articles contained more than one image). For each image we captured formal categories (e.g. medium, publishing date, department, image genre etc.) as well as content categories. Per image, several image subjects (human, robot, computer etc.) with multiple specifying subcategories could be coded, for example if an image shows a human and a robot at the same time, as well as one image topic (again with multiple subcategories; e.g. man as role model, international competition, etc.).<br>[1] German search string: “Künstliche* Intelligenz” OR *KI*
DOI: 10.6084/m9.figshare.25998106.v2
title: <i>Centropogo</i><i>n</i> subgenus <i>Centropogon</i> phylogenomic dataset and code

description: <i>Centropogon</i> subgenus <i>Centropogon</i> (Campanulaceae) comprises 55 species found in Neotropical low-to-high elevation forests, featuring some of the most curved flowers among angiosperms. This curvature is linked to coevolution with the sicklebill hummingbird (<i>Eutoxeres</i>: Trochilidae), which pollinates most species within the subgenus. Despite their charimastic flowers, there is limited knowledge about the phylogenetic relationships among the species. To understand species relatedness in order to infer the evolution of floral traits, including curvature and inflorescence type, we conducted the first densely sampled phylogenomic analysis of the clade. Building upon a previous phylogenetic hypothesis with limited taxon sampling, we significantly expanded the dataset by doubling taxon sampling using targeted sequence capture using a lineage-specific probeset. In this analysis, we improved understanding of species relationships and compare them to previous phylogenetic studies and the current taxonomy of <i>Centropogon</i> subgenus <i>Centropogon</i>. We confirm the monophyly of the subgenus and two current sections, and identified subclades that correspond to the two paraphyletic sections. Furthermore, we explored phylogenetic dynamics of three widespread species: <i>C. granulosus</i>, <i>C. solanifolius</i>, and <i>C. cornutus</i>. In addition, we employed phylogenetic methods that account for incomplete lineage sorting and identified regions of significant species tree/gene tree discordance. Ancestral state reconstructions revealed considerable lability in the evolution of floral curvature and inflorescence type, indicating multiple putative losses of sicklebill pollination from a sicklebill pollinated ancestor. This phylogeny serves as a foundational framework for further macroevolutionary investigations into the environmental and biogeographic factors shaping the evolution of pollination-related traits.<br>
DOI: 10.6084/m9.figshare.4789072.v1
title: Population and GDP data and projections

description: Urban population data from the United Nations World Urbanization Prospects is available at https://esa.un.org/unpd/wup/cd-rom/WUP2014_XLS_CD_FILES/WUP2014-F12-Cities_Over_300K.xls. Population and GDP projections are available at http://ciesin.columbia.edu/datasets/downscaled/.
DOI: 10.6084/m9.figshare.2068515.v1
title: All measurement data on the radial, tangential and vertical turbulent fluctuating velocity.docx

description: This file is the original data on the radial, tangential and vertical turbulent fluctuating velocity components with respect to different angular velocities of the inner cylinder. This file is also a supporting file for the paper published in PLOS One (PONE-D-15-35042R2)
DOI: 10.6084/m9.figshare.25757382.v1
title: Elsafty_RBCs_for_Segmentation_and_Detection_Slide_2

description: Each one of (Elsafty_RBCs_for_Segmentation_and_Detection_Slide_1-25) consists of three primary folders: "Cropped images,” "Masks,” and "Segmented images” corresponding to each slide/patient. The naming scheme for the cropped image, mask, and segmented image of every cell adheres to a consistent format, starting with the slide/patient number, followed by the unique patch/field number, and concluding with the (XYWH) coordination on the patch. All these images are conveniently stored in the lossless ".PNG" format.
DOI: 10.6084/m9.figshare.28770857.v1
title: Gait Analysis Subset – Gender and BMI-Based Comparison

description: The study incorporating this dataset involved the analysis of gait based on the gender and BMI of the individuals. For the purpose, gait was recorded using OpenCap and a musculoskeletal model for each participant was build in OpenSim. The comparison of individuals was carried out based on the joint angles, normalized fiber lengths, and total fiber forces using python scripting. However, this dataset is a subset of larger dataset, which is not shared because of participants privacy and consent limitations.
DOI: 10.6084/m9.figshare.c.3598283_d6.v1
title: Additional file 5: Table S2. of The influence of a short-term gluten-free diet on the human gut microbiome

description: Relation of smoking and microbiome composition. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.3519575.v1
title: Appendix A. Detailed description of population spread rate model.

description: Detailed description of population spread rate model.
DOI: 10.4121/20020154.v1
title: Interviews about the educational exercise tinkering with technology

description: Three interviews with students who participated in a class on ethics of technology using a novel experimental method, the tinkering exercise. We asked the students about their impressions of the exercise, what worked and what didn't. We subsequently used these interviews in a publication (still under peer review) to conclude about the exercise.
DOI: 10.6084/m9.figshare.24046956.v1
title: Table S1. Molecular Ecology. Phenotypic data and information about collection sites

description: Values for the vegetative and flowering traits used in Experiment 2 and information about collection sites
DOI: 10.17632/nmdyn28mxv.1
title: Comparison of the natural increase rate in the Russian Federation, Republic of Kazakhstan, Republic of Belarus, Kyrgyz Republic, and Republic of Estonia for the period from 1990 to 2024

description: Since 1991, the governments of 15 countries, formerly integrated into a unified cultural, economic, social, and legal framework within the Union of Soviet Socialist Republics, have sequentially decided to secede from the union and build sovereign nation-states with independent foreign and domestic policies.
The dataset has been compiled with the aim of studying the demographic policies of post-Soviet countries, including the Russian Federation, Republic of Kazakhstan, Republic of Belarus, Kyrgyz Republic, and Republic of Estonia.
For consistency in comparison, demographic statistics were obtained from a single source: the non-profit, non-governmental resource “Database.earth,” which bases its data on the report titled “2024 Revision of World Population Prospects” prepared by the Department of Economic and Social Affairs of the United Nations.The files include two tables (with corresponding charts):
1. The natural increase rate in the studied countries over the period from 1990 to 2024.
2. Urban-rural population ratio in the studied countries as of 2024.
The natural increase rate is a standardized indicator that allows comparisons between different states regardless of their size or level of economic development.
Private trends for individual states.
1. The Russian Federation. After a stable period of positive growth in the late 1980s, the country faced a deep crisis in the first half of the 1990s (-5.7% in 1995). By the beginning of the 21st century, dynamics stabilized, but the overall trend remains negative. Attempts to restore fertility led to temporary improvement in 2015 (+0.3%). 
2. Republic of Kazakhstan. The country maintained a positive growth dynamic almost throughout the observation period. The highest peak of growth falls on the early 2010s (13.6% in 2010, 15.2% in 2015), demonstrating high rates of population reproduction. However, by the end of the observed period (2024), there is also a gradual slowdown in growth noted.
3. Republic of Belarus. The situation in Belarus is characterized by alternating positive and negative phases. The beginning of the 1990s was marked by a significant drop, followed by a weak recovery period. Nevertheless, the general tendency is towards maintaining low levels of growth, transitioning into an insignificant minus by the 2020s.
4. Kyrgyz Republic. The only country showing sustained positive values of growth over the entire study period. Although some reduction in positive figures has been observed, nevertheless, it maintains relatively high rates of natural increase (approximately +15-18%).
5. Estonian Republic. This country stands out with the strongest volatility among the reviewed states. Except for one year (2010), natural growth remained consistently negative. The significant fall was observed in the mid-1990s and continued through the first decades of the 21st century.
DOI: 10.6084/m9.figshare.25308376.v1
title: A genomic basis of vocal rhythm in birds

description: In this repository we provide processed data to reproduce the main results of the manuscript entitled "A genomic basis of vocal rhythm in birds"The data should be used in combination with the scripts available at: [https://github.com/MatteoSebastianelli/Tinkerbird_SongGene]We provide the following files:MS_StabilityMaster_Tinkerbirds_SingleRecs_10Mar23.xlsx: dataset to perform the song stability analyses.southern_africa_biallelic_snps_minDP4_MaxMiss20_MAF5.vcf.gz: ddRAD genomic datatinkerbirds_merged_SNPs_biallelic_max-miss0.95_maf0.03_minmaxDP3.5_50.vcf.gz: whole-genome genomic dataMS_SouthernAfrica_ddRADS_95SympF_14Mar23.xlsx: spreadsheet containing parental ancestry of each sympatric female individualMS_Tinkerbird138_Master_06Oct23.xlsx: main dataset containing mean phenotypic data and ancestry values for the 138 individuals sequenced at the whole-genome level.Fst_average500kb_results_16Feb23.txt: Genome-wide Fst calculated in 500Kb windows used for Figure 2LD_average500kb_results_16Feb23.txt: Genome-wide R2 (LD) calculated in 500Kb windows used for Figure 2GC_CONTENT_500k.bed: GC content calculated in 500Kb windows used for Figure 2REPEATS_500k__.bed: repeat content calculated in 500Kb windows used for Figure 2SNPs_500k__.bed: SNP density content calculated in 500Kb windows used for Figure 2gemma_ioi_Symp_17Nov22_max-miss0.95_maf0.03_minmaxDP3.5_50.assoc.txt: GEMMA output used for figures 3a, cAS28702_AllChr_combined_ave_anc_pos.txt: raw data for Fig4bAS39306_AllChr_combined_ave_anc_pos.txt: raw data for Fig4bAS53235_AllChr_combined_ave_anc_pos.txt: raw data for Fig4btinkerbirds135_symp_chr25_thin2500.geno.ld.txt: raw data for FigS8SourceData.xlsx: Raw data of all manuscript figures
DOI: 10.6084/m9.figshare.28677980.v1
title: essential code and data for paper: <b>Dynamic prefrontal coupling coordinates adaptive decision-making</b>

description: essential code and data for paper : <b>Dynamic prefrontal coupling coordinates adaptive decision-making</b><br>the original dataset would be more than 4TB<br>if you need more access to the dataset, contact me: xinyuanyan2016@gmail.com
DOI: 10.6084/m9.figshare.3557325.v1
title: Appendix A. Parameter estimations and maximum-likelihood values for experiments depicted in Figs. 1–3.

description: Parameter estimations and maximum-likelihood values for experiments depicted in Figs. 1–3.
DOI: 10.6084/m9.figshare.4668586.v1
title: Recombination rate

description: As described in <br><em><strong>Nature Genetics </strong></em>47(3):235-241. doi: 10.1038/ng.3215<br><br>See here: http://www.ncbi.nlm.nih.gov/pubmed/25665008<br>
DOI: 10.6084/m9.figshare.6754181.v2
title: EUBAR

description: The EUBAR database includes 1785 <sup>14</sup>C dates and the associated information from more than 650 archaeological sites located in Central-Southern Europe, in a wide territory between the Ebro and Danube rivers. The geographic area under study encompasses the Eastern Iberian Peninsula with the Autonomous Communities of Catalonia, Aragon (Provinces of Huesca and Zaragoza), Navarre and the Basque Country; southern France including from west to east the regions of Aquitaine, Midi-Pyrénées, Languedoc-Roussillon, Limousin, Auvergne, Burgundy (only the departments of Côte-d'Or, Nièvre and Saône-et-Loire), Rhône-Alpes, Provence-Alpes-Côte d’Azur, Franche-Comté, Alsace; northern Italy (regions of Aosta Valley, Piedmont, Lombardy, Trentino/Alto Adige-Südtirol, Veneto, Friuli Venezia Giulia, Liguria, Emilia Romagna and Tuscany; the entire territory of Switzerland, as well of Austria, and the southern part of Germany with the states of Baden-Württemberg and Bavaria (Lower Franconia, Upper Franconia and Middle Franconia not included). The time span of the EUBAR database is one millennium, from 1800 to 750 BC, with that end date determined by the Hallstatt plateau: a plane on the IntCal13 calibration curve, caused by variations in solar activity records.The references of the database are reported at https://www.tdx.cat/handle/10803/283401
DOI: 10.6084/m9.figshare.20424282.v2
title: cds and protein files for ten Ganoderma genomes

description: cds and protein files for ten Ganoderma genomes
DOI: 10.22023/mdx.28001105.v1
title: Draft genome assemblies <i>Anurida maritima</i> (Collembola, Poduromorpha)

description: <i>Anurida maritima</i> draft genome assemblies of three UK populations (Wells-next-the-Sea, Goldhanger, Lundy).Libraries were constructed using the Rapid Sequencing Kit (SQK-RAD004) and sequenced using R9.4.1 flow cell. Raw sequencing reads have been deposited in the SRA database. These sequences were corrected and trimmed using CANU 2.0 and subsequently assembled using flye version 2.9.3-b1797 (settings: --asm-coverage 40 --genome-size 100m).
DOI: 10.6084/m9.figshare.26000386.v1
title: Rehearsal_011719.mat

description: Data structure from the rehearsal done on 01/17/19.
DOI: 10.6084/m9.figshare.28593557.v2
title: Matbench results SevenNet-MF-OMPA

description: Matbench discovery results of SevenNet-MF-OMPA<br>Revision: 2025-03-11-kappa-103-FIRE-dist=0.01-fmax=1e-4-symprec=1e-5.json=&gt; dist=0.03<br>typo fixed, contents are same
DOI: 10.6084/m9.figshare.28595367.v1
title: The motion of a bubble in a non-uniform Hele-Shaw cell code

description: The code used to generate the figures in the paper.
DOI: 10.6084/m9.figshare.9729803.v2
title: High Glucose Variability Increases 30-Day Readmission Rates in Patients with Type 2 Diabetes Hospitalized in Department of Surgery

description: Glucose variability is common among hospitalized patients with type 2 diabetes mellitus (DM). I investigated to assess the variability of glucose in patients with type 2 DM accounts for in-hospital readmission rates in department of Surgery. I retrospectively analyzed 206 patients with type 2 DM, who was admitted to our hospital for surgical interventions and re-admitted within 30 days after discharge. I also enrolled 610 age, sex and diabetic duration matched patients with type 2 DM, as control. Outcomes measure included average and standard deviation (SD) of blood glucose during admission, glycated hemoglobin (HbA1c), lipid profile, renal function, length of stay (LOS). Patients who had re-admission within 30 days after discharge had higher SD of blood glucose levels than control (84.7 ± 53.5 mg/dL vs. 46.2 ± 42.8 mg/dL, <i>p</i> &lt;0.001) but not average of blood glucose levels. Comparing to control group, the study group also had higher HbA1c (8.4 ± 1.3% vs. 7.7 ± 1.1%, <i>p</i> = 0.015) and LOS (8.5± 2.5 days vs 7.0± 1.5 days, <i>p</i> = 0.020). The independent predictors of 30-day readmission rates were SD of blood glucose during admission and HbA1c (hazard ratio: 1.680, 1.493; <i>p </i>value &lt; 0.001, 0.008, respectively.) Decreasing glucose variability during admission for surgery is important for patients with type 2 DM to decreasing re-admission rates and LOS. HBA1c may also identify patients at higher risk of postoperative complications and possibility of re-admission. <b></b><i></i><sub></sub><sup></sup><br>
DOI: 10.6084/m9.figshare.25377724.v1
title: experiment data (Japanese reading ability and dynamic visual information processing)

description: Raw data and MATLAB codes for experiments and analyses.
DOI: 10.17608/k6.auckland.19365020.v1
title: Environmental_NZ-wide

description: Environmental data used in analyses of the NZ-wide dataset.- envData_RDA.csv: file with environmental variables used for RDA.- mean___.txt: individual environmental files (scaled and mean centered) used in BayeScEnv.
DOI: 10.6084/m9.figshare.28746281.v6
title: U-Net Training Area Datasets

description: Download our Sentinel-2 imagery dataset to facilitate your model training processes. This high-resolution, multispectral collection is ideal for applications in emergency response, transportation, and wildfire detection. This training area covers the communities of Corona, Ventura, and Pala Mesa California.RS_Data_MetaData contains the exact subset of imagery used for our Wildfire Threat Detection for Transportation Infrastructure using U-Net for Semantic Segmentation notebook.
DOI: 10.6084/m9.figshare.27981593.v1
title: Anc Alpha

description: Raw Data
DOI: 10.25387/g3.27625701.v1
title: Supplemental Material for Vitale et al., 2024

description: nba_v1.zip, neurochip_v1.zip, and and wgs_v1.zip are all pre-trained models specific to the NeuroBooster Array, NeuroChip Array, and 1000 Genomes WGS, respectively. The models are serialized in Pickle format and accompanied by a file with overlapping SNPs between each sequencing/genotyping platform and the reference panel.
<br>
1kg_30x_hgdp_ashk_ref_panel.zip contains the reference panel used for ancestry model training in GenoTools in Plink bed/bim/fam format. It is accompanied by a "..._labels.txt" file that lists each sample in the dataset and its respective ancestry label for the training/testing pipeline.
DOI: 10.6084/m9.figshare.28748267.v1
title: Native PAGE results, Supplementary Fig. 4b,c

description: This native PAGE assay is to evalute the photo-induced concentration changes of the single-SE motifs (dimer or monomer) under UV and visible light (Vis), Supplementary Fig. 4b,cUnder 'PAGE' folder, there are three sets of the imaged gel sheets (n = 3), one of which appears in Supplementary Fig. 4b.These images were analyzed by imageJ to generate .csv files ('*_new.csv') that contain the measured band fluorescence intensities (n = 3) for different azobenzene insertion sites (1x7, 3x5, 2x1x5) with control (no azo).Python script ('*.py') generates the bar plots of the evaluated concentrations for the monomer and dimers.
DOI: 10.6084/m9.figshare.14122049.v3
title: Update on the multimodal pathophysiological dataset of gradual cerebral ischemia in a cohort of juvenile pigs: auditory, sensory and high-frequency sensory evoked potentials

description: Building upon the previously shared data set, here we expand from a spontaneous to an evoked responses data set containing brain electrical activities in the form of electrocorticogram (ECOG) and electrothalamogram (EThG). This evoked responses data set includes auditory (AEP) and sensory (SEP) stimulation paradigms. This permits derivation of electroencephalogram (EEG) biomarkers of corticothalamic communication under normal, sedation, and hypoxic/ischemic conditions with ensuing recovery. The data set is presented in full band sampled at 2000 Hz. A unique feature is the additional measurement of the high-frequency oscillations in response to sensory stimulation (HFO SEPs). We provide technical validation of the evoked responses for the composite states of sedation, ischemia and recovery, as before. This extended data set now permits mutual inferences between spontaneous and evoked activities across the recorded modalities. Future studies on the dataset may contribute to the development of new brain monitoring technologies, which will facilitate the prevention of neurological injuries.
DOI: 10.6084/m9.figshare.13078883.v2
title: InsectBase: Soybean Crop Insect Processed (Cropped) Image Dataset_V1 for Classification

description: The dataset contains soybean crop adult insect raw Images ( a total of 3797 images) in JPG format. There were considered four kind of soybean crop insect’s images as: 1. A folder Cropped_Eocanthecona_Bug_A contains 1185 images of Eocanthecona Bug. 2. A folder Cropped_Tobacco_Caterpillar_B contains 980 images of Tobacco Caterpillar. 3. A folder Cropped_Red_Hairy_Catterpillar_C Contains 998 images of Red Hairy Caterpillar. 4. A folder Cropped_Larva_Spodoptera_D contains 634 images of Larva Spodoptera. 5. All the images were cropped from the original dataset (Tiwari, Vivek; Saxena, Ravi R; Ojha, Muneendra (2020): Soybean Crop Insect Raw Image Dataset_V1 with bounding boxes. figshare. Dataset. https://doi.org/10.6084/m9.figshare.13077221.v3 ). <br>This dataset contains more focused and localized soybean insect images and hence ideal for classification applications. The dataset was developed by the authors under collaborative work between Indira Gandhi Krishi Vishwavidyalaya (IGKV), Raipur (CG), and DSPM IIIT Naya Raipur (CG), India