cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21960356.v1
title: Raw data photomorphogenesis Synechocysits 6803.rar

description: <strong>Raw data for the manuscript:</strong> <br> <em>Photomorphogenesis in Synechocystis sp. PCC 6803 predicts growth limitations in spectral niches for type 1 chromatic acclimators </em> Tomáš Zavřel1✉, Anna Segečová1, László Kovács2, Martin Lukeš3, Zoltán Novák4, Milán Szabó2, Boglárka Somogyi4, Ondřej Prášil3, Jan Červený1, Gábor Bernát4✉ <br> 1Global Change Research Institute of the Czech Academy of Sciences, Brno, Czechia 2Biological Research Centre, Eötvös Loránd Research Network (ELKH), Szeged, Hungary 3Centre Algatech, Institute of Microbiology of the Czech Academy of Sciences, Třeboň, Czechia 4Balaton Limnological Research Institute, Eötvös Loránd Research Network (ELKH), Tihany, Hungary
DOI: 10.6084/m9.figshare.26798161.v2
title: Deccan Traps melt inclusion literature data compilation

description: This document hosts the compilation of literature data on the melt inclusion analysis of the Deccan Traps.
DOI: 10.6084/m9.figshare.28091660.v1
title: <b>A global synthesis of environmental factors driving soil enzymatic activities response to heavy metal pollution</b>

description: <b>Dataset and R code of the global synthesis of environmental factors driving soil enzymatic activities response to heavy metal pollution</b>
DOI: 10.17632/8h5x2r5b89
title: Recurrence of Benedictine proportions in european churches from 9th to 19th century

description: Selection of 200 church layouts with Benedictine Diagram overlay.
Selection criteria :
• A credible survey is available with a good definition
• The church has benefited from little architectural evolution over time
• The church has suffered little to no damage from natural events (ground movement, differential settlement etc.)
• The church layout is pretty straight and mostly symmetrical
• The church is a stone structure built in Europe from the 9th to the 19th century
DOI: 10.6084/m9.figshare.25516972.v1
title: Raw data of Raman and lipidomics

description: The Raw data of single-cell Raman spectroscopy and lipidomic collected from tumor cells
DOI: 10.6084/m9.figshare.26018272.v2
title: Supplementary Information for Cyclobutane-Linked Nanothreads Synthesized by Thermal and Photochemically-Mediated Polymerizations of Cyclohexadiene<b> </b>

description: M06-2X/6-31+G(d,p) output files for polymerization cycloaddition reaction for manuscript in preparation.
DOI: 10.17632/6fxbcs3hck
title: Vehicles OBU Computation Capability (VOCC) Dataset  

description: These datasets are composed of the computing capability of an OBU of vehicles. This computing capability contains processing power RAM, memory storage, the distance between nodes, the transmission rate of the network, and the trust factor. This dataset can be used in distributed computing paradigms like vehicular edge computing, vehicular fog computing, vehicular cloud computing, and Vanets based volunteer computing uses the computation resources of vehicles. Vehicles having more resources are more appropriate for the computing process.  The dataset1, dataset2, and dataset3 contain 18700, 4600, and 250 records respectively.
DOI: 10.6084/m9.figshare.28564721.v1
title: Variability of Porpagation DITs from the Luzon Strait

description: The results shown in figures based on the observations and simulation can be downloaded here.
DOI: 10.6084/m9.figshare.3756144.v2
title: Explicit representations of confidence informs future value-based decisions

description: This is the data from the article "Explicit Representations of Confidence informs future value-based decisions".<br>More information about the study and the code used to analyse the data can be found on our GitHub page (see references).
DOI: 10.6084/m9.figshare.9783755.v2
title: Open Access fNIRS Dataset for Classification of Unilateral Finger- and Foot-Tapping

description: fNIRS dataset for ternary classification
DOI: 10.17632/hs2nbsw5vy
title: Directional tuning in the hippocampal formation of birds. Ben-Yishai et al.,

description: This data set contains spike trains, position and head direction trajectories of 2140 single units and additional information and results about each unit. The work in-which this data set was collected and analysed is published in Ben-Yishai et al., Directional tuning in the hippocampal formation of birds. Current Biology (2021). In-press. The study is summarized below: Birds strongly rely on spatial memory and navigation. Therefore, it is of utmost interest to reveal how space is represented in the avian brain. Here we used tetrodes to record neurons from the hippocampal formation of Japanese quails – a ground-dwelling species – while the quails roamed in an open-field arena. Whereas spatially-modulated cells (place-cells, grid cells, border-cells) were generally not encountered, the firing-rate of about 12% of the neurons was unimodally and significantly modulated by the head-azimuth – i.e. these were head-direction cells (HD cells). Typically, HD cells were maximally active at one preferred-direction and minimally at the opposite null-direction, with preferred-directions spanning all 360o across the population. The preferred-direction was independent of the animal’s position and speed, and was stable during the recording session. The HD tuning was broader compared to that of HD cells in rodents, and most cells had non-zero baseline firing in all directions. However, similarly to findings in rodents, the HD tuning usually rotated with the rotation of a salient visual cue in the arena. Thus, these findings support the existence of an allocentric head-direction representation in the quail hippocampal formation, and provide the first demonstration of head-direction cells in birds.
DOI: 10.6084/m9.figshare.12738362.v1
title: Supplementary Material for: Increased Serum Periostin Levels and Eosinophils in Nasal Polyps Are Associated with the Preventive Effect of Endoscopic Sinus Surgery for Asthma Exacerbations in Chronic Rhinosinusitis Patients

description: <b><i>Background:</i></b> Eosinophilic nasal polyps (NPs) are associated with the presence of asthma in chronic rhinosinusitis (CRS) patients. Serum periostin has been considered a relevant biomarker for unified airway diseases. <b><i>Objective:</i></b> To determine the utility of biomarkers including serum periostin that reflects reduction of exacerbations of comorbid asthma in CRS patients. <b><i>Methods:</i></b> We prospectively recruited 56 CRS patients who were subjected to undergo endoscopic sinus surgery (ESS) (20 with asthma) between October 2015 and December 2017 and followed them for 1 year after ESS. Blood eosinophil count, serum periostin, and fractional nitric oxide (FeNO) were measured at enrollment. How these type 2-driven biomarkers reflect comorbid asthma was determined using receiver operating characteristic (ROC) analysis. The frequency of asthma exacerbations during 1 year was counted both before and after ESS. Associations between preoperative biomarkers including eosinophils in NPs and asthma exacerbations were evaluated. <b><i>Results:</i></b> Blood eosinophil count, FeNO, and serum periostin levels were significantly higher in CRS patients with asthma than in those without (<i>p</i> &lt; 0.01 for all) and discriminated comorbid asthma among CRS patients (<i>p</i> &lt; 0.05; AUC &gt; 0.80 for all). The increased preoperative serum periostin correlated with lower absolute number of postoperative exacerbations (ρ = −0.49, <i>p</i> = 0.03) and its relative reduction after ESS (ρ = 0.53, <i>p</i> = 0.03) in asthmatic patients. Increased eosinophils in NPs were also associated with reduced asthma exacerbations. <b><i>Conclusion:</i></b> Preoperative increased serum periostin and eosinophils in NPs are associated with the preventive effect of ESS for asthma exacerbations in CRS patients comorbid with asthma.
DOI: 10.6084/m9.figshare.27301377.v1
title: A global dataset of directional migration networks of migratory birds

description: The migration of birds plays a crucial role in connecting different ecosystems, facilitating the spread of diverse pathogens, which poses a significant threat to public health. At present, the realtime monitoring of bird migration is growing. However, the extent of connectivity between migratory areas of birds remains uncertain. Herein, we conducted a systematic review of Chinese and English literature published between 1990 and 2024 to extract spatiotemporal information on various bird species, which allowed us to identify migration times, breeding grounds, non-breeding grounds, and flyover areas of them at a subnational level, resulting in the creation of a global dataset of bird migration networks encompassing 93,401 geo-referenced records. These records cover 267 bird species and their 10,993 migratory routes across 170 countries or territories. Our dataset provides a overview of the global distribution of bird migrations across different species, revealing the geographical patterns of diverse migration routes. This facilitates further investigations into the underlying drivers of bird migration, as well as alterations in migration routes and their impacts on ecosystems.
DOI: 10.6084/m9.figshare.14120531.v1
title: West Micronesia Benthic Type Reference Sample

description: This benthic reference data is intended for use as a calibration and/or validation data for global scale remote sensing image based classification of coral reef areas. The data is in a vector shapefile format consisting of polygons labelled with one of seven coral reef benthic classes that include Microalgal Mats, Coral/Algae, Rubble, Rock, Seagrass Dense, Seagrass Sparse, Sand. <b>Please cite data as:</b> Lyons, M., Borrego-Acevedo, R., Canto, R., Harris, D., Kennedy, E., Kovacs , E., Markey, K., Murray, N., Ordonez Alvarez, A., Phinn, S., Roe, M., Roelfsema, C., Say, C., Tudman, P., Wolff, J., Yuwono, D., Bambric, B., Fox, H., Lieb, Z., Asner , G., Knapp , D., Li, J., Harris, B., Larsen, K. & Rice, K. 2021. West Micronesia Benthic Type Reference Sample. University of Queensland. DOI: https://doi.org/10.6084/m9.figshare.14120531 <b>Links to supplementary information:</b> Mapping methods overview (https://allencoralatlas.org/methods/) UQ mapping team web site (https://www.rsrc.org.au/globalreef) Detailed mapping methods description by Lyons et al. (https://doi.org/10.1002/rse2.157) Detailed classification scheme description by Kennedy et al. (https://doi.org/10.1038/s41597-021-00958-z) Detailed reference creation description workflow by Roelfsema et al. (https://doi.org/10.3389/fmars.2021.643381) <b>Funding:</b> Vulcan Inc., (https://vulcan.com) Great Barrier Reef Foundation (https://www.barrierreef.org/) <b>Acknowledgement:</b> This work was initiated and funded primarily through Paul Allen Philanthropies and Vulcan Inc. as part of the Allen Coral Atlas. We acknowledge the late Paul Allen and Ruth Gates for their fundamental vision and drive to enable us to work together on this critical reef mapping problem. Project partners providing financial, service and personnel include: Planet Inc., National Geographic, University of Queensland, Arizona State University, and University of Hawai'i. Significant support has also been provided by Google Inc., Great Barrier Reef Foundation, and Trimble (Ecognition). Contributors to establishing and running the project include: Vulcan Inc. [James Deutsch, Lauren Kickam, Paulina Gerstner, Charlie Whiton, Kirk Larsen, Sarah Frias Torres, Kyle Rice, Eldan Goldenberg, Janet Greenlee]; Planet Inc. [Andrew Zolli, Trevor McDonald, Joe Mascaro, Joe Kington]; University of Queensland [Chris Roelfsema, Stuart Phinn, Emma Kennedy, Mitch Lyons, Nicholas Murray, Doddy Yuwono, Dan Harris, Eva Kovacs, Rodney Borrego, Meredith Roe, Jeremy Wolff, Kathryn Markey, Alexandra Ordonez, Chantal Say, Paul Tudman]; Arizona State University [Greg Asner, Dave Knapp, Jiwei Li, Yaping Xu, Nick Fabina, Heather D'Angelo]; and National Geographic [Helen Fox, Brianna Bambic, Brian Free, Zoe Lieb] and Great Barrier Reef Foundation [Petra Lundgren, Kirsty Bevan, Sarah Castine]. Attributions of contributed field data or maps for the reference sample creation are available at: https://allencoralatlas.org/attribution/
DOI: 10.6084/m9.figshare.14829085.v1
title: Fedosov_et_al_supplementary_materials.zip from A phylogeny-aware approach reveals unexpected venom components in divergent lineages of cone snails

description: Archive with supplementary figures (8), and supplementary tables (4). Captions for each item are provided in the file.
DOI: 10.6084/m9.figshare.17185469.v4
title: Supplemental Table 1

description: Processed read count matrix and DEGs found in patients with gestational diabetes
DOI: 10.6084/m9.figshare.13646672.v1
title: Nitrogen addition stimulates soil aggregation and enhances carbon storage in terrestrial ecosystems of China: A meta-analysis

description: China is experiencing a high level of atmospheric nitrogen (N) deposition, which greatly affects the soil carbon (C) dynamics in terrestrial ecosystems. Soil aggregation contributes to the stability of soil structure and to soil C sequestration. Although many studies have reported the effects of N enrichment on bulk soil C dynamics, the underlying mechanisms explaining how soil aggregates respond to N enrichment remain unclear. Here, we used a meta-analysis of data from 76 N manipulation experiments in terrestrial ecosystems in China to assess the effects of N enrichment on soil aggregation and its sequestration of C. On average, N enrichment significantly increased the mean weight diameter of soil aggregates by 10%. The proportion of macroaggregates and silt-clay fraction were significantly increased (6%) and decreased (9%) by N enrichment, respectively. A greater response of macroaggregate C (+15%) than of bulk soil C (+5%) to N enrichment was detected across all ecosystems. However, N enrichment had minor effects on microaggregate C and silt-clay C. Magnitude of N enrichment effect on soil aggregation varied with ecosystem type and fertilization regime. Additionally, soil pH declined consistently and was correlated with soil aggregate C. Overall, our meta-analysis suggests that N enrichment promotes particulate organic C accumulation via increasing macroaggregate C and acidifying soils. In contrast, increases in soil aggregation could inhibit microbially-mediated breakdown of soil organic matter, causing minimal change in mineral-associated organic C. Our findings highlight that atmospheric N deposition may enhance the formation of soil aggregates and their sequestration of C in terrestrial ecosystems in China.
DOI: 10.6084/m9.figshare.25638114.v1
title: Brain2GAN (StyleGAN3)

description: See https://github.com/neuralcodinglab/brain2gan.
DOI: 10.6084/m9.figshare.24920844.v1
title: XRD, XRF, and microIR / FTIR data of Lonar crater basalts, impactites, soils, and shocked soils

description: .raw files are processed XRD data files.xls files contain XRF normalized data.dat files and corresponding .hdr files are microIR or FTIR images with 30-micron resolution<br>
DOI: 10.6084/m9.figshare.7159892.v1
title: Supplementary Material for: Risky Alcohol Use: The Impact on Health Service Use

description: <b><i>Objective:</i></b> To examine health services use on the basis of alcohol consumption. <b><i>Material and Methods:</i></b> A cross-sectional study was carried out on patients visiting the Primary Health Care (PHC) settings in Catalonia during 2011 and 2012; these patients had a history of alcohol consumption. Information about outpatient visits in the PHC setting, hospitalizations, specialists’ visits and emergency room visits for the year 2013 was obtained from 2 databases (the Information System for the Development of Research in PHC and the Catalan Health Surveillance System). Risky drinkers were defined as those who consumed more than 280 g per week for men or more than 170 g per week for women, or any amount of alcohol while being involved in a high risk work activity, or taking medication that significantly interferes with alcohol or when being pregnant. Binge drinkers (&gt; 60 g in men or &gt; 50 g in women in a short amount of time more than once a month) were also considered risky drinkers. <b><i>Results:</i></b> A total of 606,948 patients reported consuming alcohol (of which 10.5% were risky drinkers). Risky drinkers were more likely to be admitted to hospitals or emergency departments (range of ORs 1.08–1.18) compared to light drinkers. Male risky drinkers used fewer PHC services than male light drinkers (OR 0.89, 95% CI 0.87–0.92). In general, risky alcohol users used services more and had longer hospital stays. When stratifying by socioeconomic level of the residential area, we found that risky drinking failed significance, while current or past cigarette smoking was associated with higher healthcare use. <b><i>Conclusions:</i></b> Risky drinkers use more expensive services, such as hospitals and emergency rooms, but not PHC services, which may suggest that prevention strategies and alcohol interventions should also be implemented in those settings.
DOI: 10.15468/dl.693rfy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia innesi (Fowler, 1934)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.0623 31.9334,26.9648 31.9498,26.9648 28.8496,35.2246 28.8496,35.4082 29.442,34.5107 31.7446,34.2089 31.83,33.6449 31.6171,32.7153 31.5989,32.1134 31.9914,31.0159 32.1003,30.233 31.9935,29.1426 31.3343,27.0623 31.9334))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013393-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.22827950.v1
title: Brain_models_and_maps.zip

description: These maps were derived from subjective disgust experience project, details see Gan et al. 2023 BioRxiv.
DOI: 10.6084/m9.figshare.23807889.v2
title: Genome assembly of the spotted sea bass

description: T2T gapless genome assembly of <i>Lateolabrax maculatus</i>
DOI: 10.15468/dl.r97nc2
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Prosopis torquata (Lag.) DC.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013394-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.4797991.v1
title: VEUSES

description: EUSES is the most frequently used spreadsheet corpus, and contains 4,037 spreadsheets. These spreadsheets were extracted from World Wide Web. We applied SpreadCluster to the EUSES and manually validated all groups. Based on the validated result, we built the VEUSES corpus, containing 177 evolution groups and 363 spreadsheets.VEUSES is published associated with our MSR 2017 paper in May 2017. <br>Liang Xu, Wensheng Dou, Chushu Gao, Jie Wang, Jun Wei, Hua Zhong, Tao Huang. SpreadCluster: Recovering Versioned Spreadsheets through Similarity-Based Clustering. In <i>Proceedings of the 14th International Conference on Mining Software Repositories</i> (<b><i>MSR 2017</i></b>), May 2017.<br>
DOI: 10.17632/pm4r2pyyh3
title: Rapid Fluctuations of the Subsurface Chlorophyll Maximum in Response to Wind Forcing in a Long, Narrow Bay - Supplementary Information

description: The file “ctd_remedios_tlp.mat” includes data recorded by the CTD during the REMEDIOS-TLP cruise. Specifically it includes the following variables:
- ‘latitude’ and ‘longitude’: in degrees (1x366 rowsxcols each variable).
- ‘chla’: chlorophyll a in μg L-1. Columns are the different profiles, whereas rows are the chlorophyll values averaged every 1 m (142x366).
- ‘date’: YY:MM:DD:hh:mm:ss of each CTD profile (366x6).
- ‘sample’: text variable that associates each profile to its kind of sampling. ‘I01’, ’I02’ and ‘I03’ are the intensive samplings, whereas surveys samplings are named as ‘S01’, ’S02’, ‘S03’ and ‘S04’.
- ‘pres’: pressure (dbar) from surface (0 m) to maximum bottom pressure (142 m).
- ‘sigma’: density-1000 in kg-3. Columns are the different profiles, whereas rows are the density values averaged every 1 m (142x366).
- ‘st’: code of stations sampled during the cruise (1x366).

CTD data recorded with a MSS90 microstructure profiler during the intensive samplings are included in the file “profiler_remedios.mat” and contains the following variables:
- ‘date’: YY:MM:DD:hh:mm:ss of each CTD profile (1658x6).
- ‘dens’: density-1000 in kg-3. Columns correspond to the different profiles, whereas rows are the density values averaged every 1 m (45x1658).
- ‘fluo’: fluorescence profiles. Columns correspond to the different profiles, whereas rows are the fluorescence values averaged every 1 m (45x1658).
- ‘T’: temperature in oC. Columns correspond to the different profiles, whereas rows are the temperature values averaged every 1 m (45x1658).

Nitrate data measured during the intensive samplings are included in the file ‘nitrate.mat’ and it includes the following variables:
- ‘cruise’: code of the intensive sampling. 1 corresponds to intensive I01, 2 to I02 and 3 to I03 (134x1).
- ‘date’: YY:MM:DD:hh:mm:ss of each CTD profile (134x6).
- ‘pres’: pressure (dbar) in m (134x1).
- ‘NO3’: nitrate values in μM. Values are displayed in an unique column and are associated to the variables ‘date’ and ‘pres’ (134x1).
DOI: 10.6084/m9.figshare.26011642.v3
title: Original data for the manuscript "Formation Mechanism and Failure Modes of Loess-mudstone Landslides in the Fault Activity Zone Along the Southern Margin of the Loess Plateau: An Investigation Through Model Testing"

description: In order to better understand the causes and mechanisms of LML, we conducted a series of model tests.
DOI: 10.6084/m9.figshare.20052122.v1
title: Key data elements in ANC Childbirth PNC registers for maternal and newborn health monitoring

description: The dataset contains the key data elements for maternal and newborn health indicatorsthat are available in routine registers <em><strong>(Pregnancy, Childbirth and Postnatal) </strong></em>from 21 countries as of October 2020 <em><strong> </strong></em>
DOI: 10.6084/m9.figshare.24598845.v1
title: RetNet

description: Voxels used for training and testing RetNet on MOFs.
DOI: 10.6084/m9.figshare.28057997.v5
title: Observed GEM and DGM data in the Arctic Ocean

description: This dataset includes the observed concentrations of both atmospheric gaseous elemental mercury and marine dissolved gaseous mercury, and the corresponding auxiliary data. This dataset was acquired in the Arctic Ocean in summertime, 2023. This dataset also includes Generalized Additive Model (GAM) code implemented in R to simulate the GEM concentration in the Arctic Ocean during the corresponding cruise and assess the relative contributions of individual variables.
DOI: 10.6084/m9.figshare.4007745.v1
title: Temporal Priming & Creative Insight

description: EEG data (.mbi & .mb2) and E-Prime response data (.txt) files.