cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25308376
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.26129908
title: <i>Luteimonas flava</i><i> </i>sp. nov. and <i>Aqualutibacter rugosus</i><i> </i>gen. nov., sp. nov., isolated from freshwater environments in China and reexamining the taxonomic status of genera <i>Luteimonas </i>and <i>Lysobacter</i>

description: Supplementary Material for ‘<i>Luteimonas flava</i><i> </i>sp. nov. and <i>Aqualutibacter rugosus</i><i> </i>gen. nov., sp. nov., isolated from freshwater environments in China and reexamining the taxonomic status of genera <i>Luteimonas </i>and <i>Lysobacter</i>’, as published in <i>International Journal of Systematic and Evolutionary Microbiology</i>.
DOI: 10.6084/m9.figshare.27861948
title: Supplementary Material for: The One Anastomosis Gastric Bypass is a suitable alternative to Roux-en-Y Gastric Bypass in patients with BMI &gt; 50 kg/m2 : a propensity-score matched analysis

description: Introduction: Body Mass Index (BMI) ≥ 50 kg/m2 is more challenging for the bariatric surgeon, because of a thicker abdominal wall, more visceral fat, and hepatomegaly by liver steatosis. This study aims to give an overview of 5-year outcomes after OAGB and RYGB in these patients in terms of weight loss, remission of comorbidities, and complications.
Methods: This retrospective single-center cohort study focused on patients with BMI ≥ 50 kg/m2 undergoing OAGB or RYGB between 2015 and 2017 at a non-academic teaching hospital in the Netherlands. A 1:1 propensity-score matched (PSM) comparison was conducted. 
Results: In total, 158 patients underwent OAGB and 32 patients RYGB. After performing a 1:1 PSM, we obtained two nearly identical cohorts of 28 patients. Follow-up data after five years was available in 79% of the patients after OAGB and 82% of the patients after RYGB. Both procedures resulted in equal weight loss, remission of comorbidities, and short-term complications. More minor mid-term complications were seen after OAGB (50% versus 18%; p=0.011) due to reflux complaints (50% versus 7%; p&lt;0.001). The number of patients with major mid-term complications did not differ (7% after OAGB versus 14% after RYGB; p=0.388). The only major complication after OAGB was conversion to RYGB due to reflux in 7.1% of the patients. In contrast, major complications following RYGB were more diverse.
Conclusion: Both procedures resulted in similar weight loss, remission of comorbidities, short-term complications, and major mid-term complications; making OAGB a suitable alternative to RYGB for patients with a BMI &gt; 50 kg/m2.
DOI: 10.13026/xr5s-xe24
title: A Multi-Modal Satellite Imagery Dataset for Public Health Analysis in Colombia

description: We introduce a cost-effective public health analysis solution for low- and
middle-income countries--the Multi-Modal Satellite Imagery Dataset in
Colombia. By leveraging high-quality, spatiotemporally aligned satellite
images and corresponding metadata, the dataset integrates economic,
demographic, meteorological, and epidemiological data. Employing a single
forwards and a forward-backward technique ensures clear satellite images with
minimal cloud cover for every epi-week, significantly enhancing overall data
quality. The extraction process utilizes the satellite extractor package
powered by the SentinelHub API, resulting in a comprehensive dataset of 12,636
satellite images from 81 municipalities in Colombia between 2016 and 2018,
along with relevant metadata. Beyond expediting public health data analysis
across diverse locations and timeframes, this versatile framework consistently
captures multimodal features. Its applications extend to various realms in
multimodal AI, encompassing deforestation monitoring, forecasting education
indices, water quality assessment, tracking extreme climatic events,
addressing epidemic illnesses, and optimizing precision agriculture.
DOI: 10.17026/dans-znf-sh4q
title: Electronic Patient Record Dataset - UK Hospital

description: Anonymized Electronic Patient Record (EPR) Dataset from a UK-based Hospital. The dataset contains 1,007,727 rows of data collected between 28th February 2016 and 21st August 2017. Metadata is provided to explain the column headers. This dataset can only be used for research and must not be used for commercial purposes (CC BY-NC). The dataset is in .xlsx format and is ~49MBs in size.
DOI: 10.17608/k6.auckland.26242205.v1
title: Source code [Julia] for an individual-based model of northern Aotearoa-New Zealand forests as described in Simpkins et al. (2024).

description: This project implements a spatially explicit individual-based model representing the dynamics of canopy and understory in a New Zealand based forest fragment. The model has been parameterised on data collected primarily in northern New Zealand. See [Morales and Perry (2017)](https://www.sciencedirect.com/science/article/abs/pii/S0304380016306068) and [Brock et *al.* (2020)](https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/1365-2745.13305) for more details. This version of the model has been implemented in [Julia](https://julialang.org/) making extensive use of the [Agents.jl](https://juliadynamics.github.io/Agents.jl/stable/) package.
DOI: 10.17909/czps-pt89
title: Kepler-51d JWST NIRSpec data

description: The data used to oblateness detection of 51d
DOI: 10.21227/6wpz-g759
title: Error-related potentials (Primary and secondary ErrP) and P300 event related potentials – BCI-Double-ErrP-Dataset

description: BCI-Double-ErrP-Dataset is an EEG dataset recorded while participants used a P300-based BCI speller. This speller uses a P300 post-detection based on Error-related potentials (ErrPs) to detect and correct errors (i.e. when the detected symbol does not match the user’s intention). After the P300 detection, an automatic correction is made when an ErrP is detected (this is called a “Primary ErrP”). The correction proposed by the system is also evaluated, eventually eliciting a “Secondary ErrP” if the correction is wrong. The overall approach is called “Double-ErrP detection and correction” [1]. The recorded datasets are useful to research the use of ErrPs to increase BCI reliability and to research how “Secondary ErrPs” can be used to increase the naturalness of Human-machine interaction. The datasets are also useful to research ErrP variability across subjects and across sessions in different days. The EEG signals were recorded from nine able-bodied participants (S1-S9) and one tetraplegic participant (P1) with medullar injury (C4/C5 level) with ages between 24 and 43 years old. However, the data set comprises only 8 subjects because two participants (S7 and S8) took part only in the first session of the experiments. Scalp EEG was recorded at 256 Hz with a g.USBamp bioamplifier (g.tec, Austria).A detailed description of the approach and experiments is given in [1] and a video in [2]. References[1] A. Cruz, G. Pires, U. Nunes (2018), "Double ErrP Detection for Automatic Error Correction in an ERP-Based BCI Speller", IEEE Transactions on Neural Systems and Rehabilitation Engineering, 99, January 2018, doi: 10.1109/TNSRE.2017.2755018. https://ieeexplore.ieee.org/document/8048036 [2] Demonstrative video in http://home.isr.uc.pt/~gpires/ErrP/ Acknowledgement: This data collection was supported in part by Project B-RELIABLE funded by FEDER/FNR/OE through programs CENTRO2020 and Portuguese foundation for science and technology (FCT), under grant SAICT/30935/2017.
DOI: 10.26133/nea4
title: Kepler Objects of Interest Cumulative Table

description: The Kepler Objects of Interest (KOI) cumulative table gathers information from the individual KOI activity tables that describe the current results of different searches of the Kepler light curves. The intent of the cumulative table is to provide the most accurate dispositions and stellar and planetary information for all KOIs in one place. All the information in this table has provenance in other KOI activity tables. 

Please note that the Kepler Objects of Interest table is periodically updated. When referring to it, please cite the DOI: 10.26133/NEA4, e.g. in your reference list, and record the date/time of access.

	bibtex (built from https://doi2bib.org/bib/10.26133/NEA4 but edited to include a version tag, which works with AASTeX aasjournal.bst style file)

	@misc{cumulative,
	doi = {10.26133/NEA4},
	url = {https://catcopy.ipac.caltech.edu/dois/doi.php?id=10.26133/NEA4},
	author = {{NASA Exoplanet Archive}},
	title = {Kepler Objects of Interest Cumulative Table},
	publisher = {NExScI-Caltech/IPAC},
	version = {Version: 20YY-MM-DD HH:MM},
	year = {yyyy}
	}

	AASTeX (no bibtex)
	\bibitem[{{NASA Exoplanet Archive}(yyyy)}]{k2pandc}
	{NASA Exoplanet Archive}. yyyy, Kepler Objects of Interest Cumulative Table,
	Version: YYYY-MM-DD HH:MM, NExScI-Caltech/IPAC, \href{https://doi.org/10.26133/NEA4}{doi:10.26133/NEA4}

	Recommended text snippet:
	We obtain the data set from the NASA Exoplanet Archive \citep{cumulative}\footnote{Accessed on YYYY-MM-DD at HH:MM, returning NNNN rows.)}

This dataset or service is made available by the NASA Exoplanet Science Institute at IPAC, which is operated by the California Institute of Technology under contract with the National Aeronautics and Space Administration.
DOI: 10.34740/kaggle/dsv/8360350
title: Telco customer churn (11.1.3+)
DOI: 10.48612/msupe/341b-8p16-35t9
title: Мотивация и академическая успешность студентов (РБ, БГПУ)

description: Представлены данные студенческой выборки (N=114) из БГПУ (Минск) по академической мотивации, академической успешности (средний балл и самооценка обучения), саморегуляции поведения, самоконтролю, самоэффективности, стилям объяснения успехов и неудач и упорству.
DOI: 10.5066/p1h74tgf
title: Precariously balanced rock data from northern New York and Vermont, USA

description: This work describes observations of boulders and their pedestals at five sites in New York and Vermont, which are used to calculate scaling factors for the 2023 time-independent National Seismic Hazard Model site-specific hazard curves (Petersen, M.D., Shumway, A.M., Powers, P.M., Field, E.H., Moschetti, M.P., Jaiswal, K.S., Milner, K.R., Rezaeian, S., Frankel, A.D., Llenos, A.L. and Michael, A.J., 2024. The 2023 US 50-State National Seismic Hazard Model: Overview and implications. Earthquake Spectra, 40(1), pp.5-88). This approach represents the current best-practice for validating hazard curves using precariously balanced rocks (e.g., Rood, A.H., Rood, D.H., Stirling, M.W., Madugo, C.M., Abrahamson, N.A., Wilcken, K.M., Gonzalez, T., Kottke, A., Whittaker, A.C., Page, W.D. and Stafford, P.J., 2020. Earthquake hazard uncertainties improved using precariously balanced rocks. AGU Advances, 1(4), p.e2020AV000182).

The files are organized into categories of data and results. The results consist of three tabular CSV files with filenames beginning with the prefix "results_". These files contain the geometric parameters necessary to calculate precariously balanced rock fragilities as well as the scaling factors calculated during validation of the site-specific hazard curves. The data files are in three subcategories: (1) lidar-derived point clouds as CSV data beginning with the prefix 'adkpbr_', which can be opened with standard open-source software such as CloudCompare (https://github.com/cloudcompare/cloudcompare); (2) seismometer recordings stored as miniseed binaries (https://ds.iris.edu/ds/nodes/dmc/data/formats/miniseed/), with recordings for each site in a compressed folder beginning with the prefix 'miniseed_'; and (3) summary figures as PDF files with a TXT file for the captions, beginning with the prefix 'figures_', which include pictures of all boulders. The file names specify the sites.
DOI: 10.5281/zenodo.10782644
title: CT scans, 3D segmentations, digital radiograph and 3D surfaces of the Lungman phantom

description: This archive contains imaging data of the Lungman anthropomorphic chest phantom (Kyoto Kagaku, Tokyo, Japan) obtained using two different clinically utilised X-ray devices:





128-slice SOMATOM Definition Edge (Siemens Healthcare, Erlangen, Germany) for two CT scans at 100 kVp. The volume size is 512x512x426 and 320x320x298 mm3. The voxel size is 0.625x0.625x0.7 mm3.




Thunder Platform (GE Healthcare, Chicago, Illinois, USA) for a digital radiograph at 90 kVp. The image size is 1871x1881 pixels and 364x366 mm2. The pixel size is 0.1946x0.1946 mm2.



One of the CT scans has been fully segmented. STL files have been created from the segmentations to generate 3D surfaces of the anatomical structures, including:



bronchioles,

bronchus,

trachea,

diaphragm,

skin,

heart,

sheets,

couch,

tumours,

hard bones,

soft bones,

spine,

sternum, and

clavicles.
DOI: 10.5281/zenodo.11073291
title: Baltic Sea Region Land Cover Plus - Training and Validation data

description: Training and validation data used in creating Baltic Sea Region Land Cover Plus (BSRLC+) maps: Dataset link



landcover_training_data_2006_2018.gpkg: Points data of consistent land cover from 2006 to 2018

crop_training_data_{year}.gpkg: Points data of crop types derived from EuroCrop dataset in particular year (2019, 2021, 2023)

landcover_validation_{year}.gpkg: Points data of validation data derived from LUCAS points in particular year (2009, 2012, 2015, 2018)

Metadata.pdf: Information of land cover code in each dataset


Version notes:

Version 2: Correcting the validation data 2018 and Metadata file

Version 1: Original upload
DOI: 10.5281/zenodo.5044532
title: Tutorial output for Tourmaline amplicon sequence processing workflow

description: Tutorial output for the Tourmaline amplicon sequence processing workflow. Tourmaline was run on the test data provided in the directory 00-data, which were downloaded along with the rest of the repository using this command: <pre><code>git clone https://github.com/aomlomics/tourmaline</code></pre> Reference data were downloaded and symlinked using these commands: <pre><code>cd tourmaline/01-imported wget https://data.qiime2.org/2021.2/common/silva-138-99-seqs-515-806.qza wget https://data.qiime2.org/2021.2/common/silva-138-99-tax-515-806.qza ln -s silva-138-99-seqs-515-806.qza refseqs.qza ln -s silva-138-99-tax-515-806.qza reftax.qza</code></pre> Paths in 00-data/manifest_pe.csv and 00-data/manifest_se.csv were edited to match the local paths. Output for all modes of the workflow were then generated in series: <pre><code>conda activate qiime2-2021.2 snakemake dada2_pe_report_unfiltered snakemake dada2_pe_report_filtered snakemake dada2_se_report_unfiltered snakemake dada2_se_report_filtered snakemake deblur_se_report_unfiltered snakemake deblur_se_report_filtered</code></pre>
DOI: 10.6084/m9.figshare.12413306
title: Scholarly publishing hoax data

description: Compilation of information about hoaxes collected in <i>Stinging the Predators</i> anthology (DOI: 10.6084/m9.figshare.5248264). Data reflects version 13.0 of anthology.
DOI: 10.6084/m9.figshare.22140617.v1
title: Reasoning Research Data among Indian Preschoolers

description: The file includes the research data from a cross-sectional study conducted among preschoolers in India. The study explored reasoning skills among Indian preschoolers using explanation, prediction, and inference tasks constructed based on a story and obtained quantitative and qualitative data.
DOI: 10.6084/m9.figshare.27860445
title: Supplementary Material for: A Meta-Analysis of Proton Pump Inhibitor Exposure and the Risk of Adverse Outcomes in Patients with Inflammatory Bowel Disease

description: Introduction: This study aims to investigate the association between proton pump inhibitors (PPIs) exposure and adverse outcomes in patients with inflammatory bowel disease (IBD).
Methods: According to the guidelines outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Meta-analysis of Observational Studies in Epidemiology (MOOSE), we conducted a comprehensive search of PubMed, Web of Science, Embase, and the Cochrane Library databases for relevant cohort and case-control studies comparing the incidence of adverse outcomes between IBD patients exposed to PPIs and those not exposed, from the inception of the databases to April 2024. The primary adverse outcomes analyzed included hospitalization and surgery. 
Results: Five studies, encompassing nearly 100,000 subjects, were included in this meta-analysis. The findings indicated that IBD patients exposed to PPIs had a significantly higher incidence of adverse outcomes compared to those not exposed (Odds ratio [OR]=1.24, 95%CI=1.07-1.44, p=0.004), although it was low-quality evidence. This increased risk was observed in both ulcerative colitis (UC) (OR=1.38, 95%CI=1.04-1.83, p=0.025) and Crohn's disease (CD) (OR=1.14, 95%CI=1.02-1.29, p=0.025). Additionally, the incidence of surgery was higher in IBD patients with PPI exposure (OR=1.31, 95%CI=1.02-1.68). However, the OR for hospitalization did not show a statistically significant difference (OR=1.43, p=0.244). Moreover, the use of glucocorticoids was more frequent among patients exposed to PPIs (OR=1.16, 95%CI=1.06-1.28, p=0.001).
Conclusion: PPI exposure may be associated with an increased risk of adverse outcomes in IBD patients, particularly a higher rate of surgery. Limited by various factors, the evidence is considered low quality.
DOI: 10.7295/w9cil10111
title: CIL_10111, Rattus, multipolar neuron
DOI: 10.11583/dtu.23686383
title: Shapefile of European countries

description: This file contains European countries in a shapefile format that can be used in python, R or matlab. The file has been created by Drin Marmullaku based on GADM version 4.1 (https://gadm.org/) and distributed according to their license (https://gadm.org/license.html). <br> Please cite as: Sevdari, Kristian; Marmullaku, Drin (2023). Shapefile of European countries. Technical University of Denmark. Dataset. https://doi.org/10.11583/DTU.23686383 This dataset is distributed under a CCBY-NC-SA 4.0 license <br> Using the data to create maps for publishing of academic research articles is allowed. Thus you can use the maps you made with GADM data for figures in articles published by PLoS, Springer Nature, Elsevier, MDPI, etc. You are allowed (but not required) to publish these articles (and the maps they contain) under an open license such as CC-BY as is the case with PLoS journals and may be the case with other open access articles. Data for the following countries is covered by a a different license Austria: Creative Commons Attribution-ShareAlike 2.0 (source: Government of Austria)
DOI: 10.12760/01-2017-1-02
title: ALS for terrain mapping in forest environments: an analysis of lidar filtering algorithms.

description: Remote sensing enables the recording of accurate geomorphological data with the capability to efficiently cover large areas. However, the presence of vegetation makes the use of remote methods for terrain mapping difficult. LiDAR (Light Detection And Ranging) data collection by means of ALS (Airborne Laser Scanning) can be a solution for forestry projects, as the laser pulses cross the entire forest canopy and reach the soil underneath. In order to obtain an accurate digital terrain model, the ALS data must be processed, so as to determine which returns are at ground level. This process is called filtering or classification.
This paper aims to provide a performance analysis of nine algorithms for ALS data classification. The algorithm performance is reviewed for the case of mountainous terrain, characterised by moderate and steep slopes and forest vegetation of a generally high consistency. Out of the nine algorithms tested, two are commercial ones and the others are free.
Our findings suggest that the Lasground-new algorithm implemented in the LAStools (Rapidlasso) software package provides the most accurate results, with a Root Mean Square Error of elevation values for the study site of 0.34 metres (with over 80 percent of the area having an elevation error of less than 0.20 metres) and an average RMSE for the field plots of 0.66 metres. Reference data for RMSE calculation is a DTM interpolated from the ALS point cloud, as classified by the data provider. Some of the free algorithms tested provide relatively similar results in terms of RMSE (for example, MLS and SMRF have RMSE values of 0.56 metres and 0.60 metres, respectively). The correlation between ground slope and RMSE of elevation values is considered for the eight field surveyed plots, with R2 having a value of 0.89.
Taking into account the difficult test conditions (topographically complex surface with dense canopy cover) we consider ALS data to be a possible solution for collecting geomorphological data for forestry applications, as long as data at a relatively low spatial resolution is sufficient.
DOI: 10.15468/bfktqo
title: Cyanobacteria Checklist of the Azores Archipelago, Portugal

description: The Azores is a nine islands archipelago located in the North Atlantic Ocean, with several suitable habitats for the development of cyanobacteria in marine, terrestrial, thermal and freshwater habitats. This checklist compiles the information from several published articles, with information dated from 1874 to 2020. In total this dataset has 229 taxa, 179 to species level.
DOI: 10.17864/1947.000345
title: The Reading Palaeofire Database v1b: an expanded global resource to document changes in fire regimes from sedimentary charcoal records

description: Wildfires have major impacts on terrestrial ecosystems, the global carbon cycle, atmospheric chemistry and climate. Charcoal records from sedimentary sequences provide a way to reconstruct palaeofire regimes at different temporal and spatial scales and are a key resource to improve our understanding of the drivers of wildfires. The RPD is an updated and expanded database of global charcoal records, accompanied by new Bayesian age models. This is an updated version of the RPD (RPDv1b), with updates to site, entity, sample and date_info metadata and the inclusion/updating of age models for 233 entities. The database contains 1676 charcoal records from 1480 sites worldwide. Age models have been run for 829 of the charcoal records.
DOI: 10.21227/h28w2j
title: GRSS SAR/PolSAR DATABASE