cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hwfg44dfby
title: Stradivari harp tree ring data

description: The tree ring data were collected on the soundboard of the Stradivari harp. They are in Heidelberg format (*.fh). The Format Heidelberg is a text based file format that was introduced by Frank Rinn with his TSAP software. Format Heidelberg files may contain one or more records. Each record consists of a header and ring width data.
DOI: 10.6084/m9.figshare.21679817.v2
title: Network of ICEs/IMEs from P. aeruginosa phylogroups

description: Input file to plot the network in Figure 7
DOI: 10.6084/m9.figshare.24471919.v4
title: Data for Spatiotemporal co-optimization of agricultural management practices

description: Spatiotemporal co-optimization of agricultural management practices towards climate-smart crop production.
DOI: 10.6084/m9.figshare.28329866.v2
title: Figure data and code for "Universality of pseudo-Goldstone damping near critical points"

description: Real-time dynamics of strongly correlated systems, in particular its critical dynamics near phase transitions, have been always on the cutting edge of studies in diverse fields of physics, e.g., high energy physics, condensed matter, holography, etc. In this work, we investigate the critical damping of collective modes associated with spontaneous breaking of approximate symmetries, which are called pseudo-Goldstone modes, in strongly correlated systems. Using the Schwinger-Keldysh field theory, we find a universal pseudo-Goldstone damping via the critical O($N$) model that has never been found before by other approaches. Different from the conventional damping found in holography and hydrodynamics, the new one is controlled by critical fluctuations, hence is invisible in mean-field systems or strongly correlated systems with classical gravity duals. Since the critical damping depends solely on the universalities of the critical point, irrespective of the microscopic details, our conclusion should be applicable to a wide class of interacting systems.
DOI: 10.6084/m9.figshare.28558994.v1
title: Some Richness Gets Richer

description: I became very intrigued by the unevenness with which we study biological patterns. I know others have done this before, and my exploration is limited by available time - but it addressed some questions that let me move this idea forward in other ways. The outcome of this small analysis is that much of the information we have about invertebrate species is at least correlated with our perception that they are of economic or other 'importance' to human society. That may seem natural to drive our exploration, but may cause us to miss many transitions or interactions among species when the less well-studied species are important in ways we have not yet recognized.
DOI: 10.6084/m9.figshare.12786296.v1
title: Precompiled data for "A comparison of neuronal population dynamics measured with calcium imaging and electrophysiology"

description: This is a precompiled dataset for manuscript "A comparison of neuronal population dynamics measured with calcium imaging and electrophysiology" and is applied with code at https://github.com/zqwei/Neural-Recording-Methodology-Comparison<br>
DOI: 10.6084/m9.figshare.14673177.v1
title: S9_Data.xlsx.zip

description: <b>S9 Data. Mutations identified in the evolved clones. </b>List of mutations found in the evolved clones with Snippy, <i>breseq</i>, and our pseudogene detection approach, represented on Fig 3C.
DOI: 10.17632/dwtn3c6w6p
title: Rice Leaf Diseases Dataset

description: Overview: The Rice Life Disease Dataset is an extensive collection of data focused on three major diseases that affect rice plants: Bacterial Blight (BB), Brown Spot (BS), and Leaf Smut (LS). The dataset has been curated to assist researchers, agronomists, and machine learning practitioners in understanding, diagnosing, and potentially predicting the occurrence of these diseases, based on various attributes and parameters. Dataset Features: 1. Disease Type: This categorizes the observation into one of the three diseases: Bacterial Blight (BB), Brown Spot (BS), or Leaf Smut (LS). 2. Leaf Images: High-resolution images of rice leaves exhibiting symptoms of the specified disease. This aids in visual diagnosis and machine learning-based image recognition tasks. 3. Symptom Description: Textual description outlining the major symptoms visible on the leaf, offering a more detailed understanding of the disease's progression and manifestation. 4. Environmental Parameters: Data on temperature, humidity, and other weather conditions at the time of observation. This can help in understanding the environmental triggers for each disease. Potential Uses: 1. Disease Prediction and Early Detection: Machine learning models can be trained on this dataset to predict the likelihood of a rice plant contracting one of these diseases based on environmental and agronomic factors. 2. Disease Distribution Mapping: Understand the geographical spread and hotspots of these diseases. 3. Impact of Agronomic Practices: Determine which farming practices might contribute to or deter the spread of these diseases. 4. Image Recognition: Train machine learning models to automatically detect and classify these diseases from images of rice leaves.
DOI: 10.6084/m9.figshare.12349847.v2
title: Example data for MitiSegmenter software

description: Example microCT dataset to accompany MitiSegmenter software, for the high throughput segmentation of samples microCT scanned in microtiter plates.<br>Example specimens comprise tail vertebrae from archaeological scombrid (tuna family) fish remains.<br>Dataset comprises an 8-bit tiff stack of two microtiter plates (3x2 wells, and 6x4 wells) arranged vertically. Scan has been downsampled to a voxel size of 0.0951mm.
DOI: 10.6084/m9.figshare.13103342.v1
title: concentration-time Date under fasted and fed conditions.docx

description: concentration-time data of cis-, trans-, and total cefprozil under fasted and fed conditions in healthy Chinese volunteers<b>.</b><b></b>
DOI: 10.6084/m9.figshare.22491298.v1
title: Clinical variables and baseline bloods.xlsx

description: These data are the baseline clinical and biochemical parameters of the 87 patients included in the analysis.
DOI: 10.6084/m9.figshare.25976215.v1
title: Raw tree-level survival probability data with environmental conditions

description: This dataset is the raw, compiled FIA data with compiled environmental conditions including soil characteristics, Palmer Drought Severity Index, ozone, nitrogen deposition, sulfur deposition, temperature, and precipitation. These data were used to model the dose-response relationship of survival probability with nitrogen deposition. These data are included in the Coughlin et al. (2024) publication.
DOI: 10.6084/m9.figshare.27823047.v1
title: Datasets for "<b>Pegmatite lithium deposits formed within low-temperature country rocks"</b>

description: These are supplementary datasets for paper "Pegmatite lithium deposits formed within low-temperature country rocks".
DOI: 10.6084/m9.figshare.28309379.v1
title: Radiology.xlsx

description: Experts evaluation of layout proposal
DOI: 10.6084/m9.figshare.10565747.v1
title: IMPACTS OF HURRICANE HARVEY ON DRINKING WATER QUALITY IN TWO TEXAS CITIES

description: Dataset for the paper:Landsman, Matthew Robert, et al. "Impacts of Hurricane Harvey on drinking water quality in Two Texas Cities." <i>Environmental Research Letters</i> (2019).<br>
DOI: 10.6084/m9.figshare.12719693.v1
title: Strawberry_Fields_Crop_Rows_Dataset.zip

description: RGB images and Annotated Images under training and testing folder for semantic segmentation used for crop row guidance.
DOI: 10.6084/m9.figshare.26008285.v1
title: LipBengal Dataset

description: We introduce the "LipBengal" dataset, marking a significant advancement in the field of Bengali lip-reading and visual speech recognition research. This dataset addresses a critical gap in the research landscape. Despite Bengali being the seventh most spoken language globally, with over 265 million speakers, it has been largely underrepresented in this domain.LipBengal offers a comprehensive resource for researchers, comprising visual data from 150 speakers across 73 classes, covering Bengali phonemes, alphabets, and symbols. Captured under diverse and uncontrolled conditions, LipBengal is the most extensive Bengali lip-reading dataset to date. Detailed annotations, ranging from phoneme-level classifications to full sentence constructions, further enhance its value. The dataset's thorough coverage of Bengali phonemes captures the nuances of lip movements associated with distinct sounds.This rich resource holds promise for training accurate lip-reading models, with applications in accessibility improvements, enhanced speech recognition, silent speech interfaces, and linguistic research. The diversity in speaker backgrounds ensures broader representability of Bengali pronunciation patterns, while meticulous annotation and curation processes guarantee quality and reliability. LipBengal is a valuable asset for researchers and developers working in Bengali lip-reading and visual speech recognition.<br>The LipBengal dataset can be accessed through:<br>https://drive.google.com/drive/folders/1CgOg35Cfs3H6-vHmG11LDt0qlS6q--jt?usp=sharing
DOI: 10.6084/m9.figshare.8139362.v1
title: Full harmonized in-situ datasets

description: There are two files in this dataset, both of which are part of the AquaSat dataset (paper DOI HERE) and code here: https://github.com/GlobalHydrologyLab/watersat<br>The first (wqp_lagos_unity.csv) is a dataset containing all merged observations in the LAGOS-NE databse (https://doi.org/10.1093/gigascience/gix101) and data from the Water Quality Portal. This includes concentration data for chlorophyll a (in ug/L), total suspended solids (in mg/L), dissolved organic carbon (in mg/L), and secchi disk depth (in m). There is also SiteID names for each observation. <br><br>The second dataset (wqp_long_with_methods) contains a long-form dataset of water quality portal data that includes potentially import additional information like depth of sample, original analytical method, and more. <br>
DOI: 10.17632/hsjp58zvkf
title: SOIL ORGANIC CARBON IN THE CAMPOS DE CIMA DA SERRA REGION (SOUTHERN BRAZIL)

description: The soil sampling points across the region of interest (KMZ attached) had been established in an earlier research effort on the effects of land-use change and grassland management on vegetation in the Campos de Cima da Serra region described in Leidinger et al. (2017). Our field sampling took place in 2015 and 2016 - using 62 sites from the UFRGS/TUM project. A detailed description of the site selection protocol is presented in Koch et al. (2016). 
In brief: Soil samples were obtained in dug pits (30 cm wide x 30 cm long x 40 cm depth) in triplicate at each sampling location, matching the smpling scheme of UFRGS/TUM project (Fig.1 in Leidinger et al., 2017): one central point and two additional points spaced by 30 m, aligned with the slope at the site. This sampling spacing was applied to minimize the effect of autocorrelation between the samples obtained and to estimate site variability. Soil samples were collected from the walls at each dug pit with volumetric rings ( = 8cm, 5 cm height), removed from the center of 0-10 and 10-20 and 20-30 cm layers for soil bulk density (SBD) and SOC analysis. At some sites, soils were shallower than 30 cm.
<< figure 2>>
The soil cores obtained were oven dried at 50°C for five days, ground, homogenized and sieved (2 mm mesh). Subsequently, the residual moisture of the samples was determined to report SBD and SOC concentrations on a dry soil basis. Although a Brazilian protocol (Oliveira et al., 2014) suggests collection of separate samples for SBD and SOC, using the same soil sample to obtain SBD and SOC estimates has been adopted in regional studies (Pachompon et al., 2010;  Schöning et al., 2013) when a large number of samples are collected to facilitate handling and processing. Moreover, a recent guideline issued by FAO (2019) explicitly recommends that SOC be determined in the same core (SBD sample).  
Soil organic C was analyzed in a C/N Thermo Flash elemental analyzer using finely ground aliquots from the samples. Soil C stocks were calculated as proposed by Ellert and Bettany (1995): SOC stock = SOC content (kg Mg-1) × layer thickness (m) × soil bulk density (Mg m-3) × 10.
DOI: 10.17045/sthlmuni.3198700.v3
title: Data for: Spatial scale and specialization affect how biogeography and functional traits predict long-term patterns of community turnover

description: This is the dataset for the article "Spatial scale and specialization affect how biogeography and functional traits predict long-term patterns of community turnover" by Auffret et al. (2016, Functional Ecology - DOI: 10.1111/1365-2435.12716)<br><br>The data presented include the observations of plant species on 27 islands in the Stockholm archipelago in 1908 and 2008, as well as occurrences from the 2.5 x 2.5 km grid squares regional plant atlas over the same area from both 1929 and 2010. Plant functional trait values (from trait databases), plus biogeographical variables for islands and grid squares are also included.<br><br>Further details are available in the readme file, as well as the original publication.<br><br>Please feel free to get in touch.<br>
DOI: 10.6084/m9.figshare.13273289.v1
title: VCF LIPGEN SNPs miRNAs

description: Whole Genome Sequencing dataset (VCF) from 5 Duroc pigs that sired the LIPGEN population. SNPs mapping to miRNA loci.
DOI: 10.6084/m9.figshare.16860592.v1
title: Experience Report on using Experiential Learning to Facilitate Learning of Bug Investigation Steps

description: Experience Report on using Experiential Learning to Facilitate Learning of Bug Investigation Steps
DOI: 10.6084/m9.figshare.19661115.v1
title: Artificial intelligence for Ionospheric DEtections (AIDE): dataset and trained detection models

description: Dataset and trained detection models used in paper: "Near-real-time automatic detection of co-seismic ionospheric disturbances using machine learning" in Geophysical Jounral International, 2022 (https://doi.org/10.1093/gji/ggac167)
DOI: 10.6084/m9.figshare.3522086.v1
title: Appendix A. Species enumerated in the National Forest Inventory of Guyana and their characteristics.

description: Species enumerated in the National Forest Inventory of Guyana and their characteristics.
DOI: 10.6084/m9.figshare.11409360.v1
title: Benchmark datasets

description: Six benchmark datasets for Vamb paper: MetaHIT benchmark dataset from MetaBAT paper and the five CAMI2 toy human short read datasets.<br>This tar is uncompressed and contains FASTA files and numpy .npz depths files.<br>
DOI: 10.6084/m9.figshare.27313290.v1
title: Follow-up Hemodialysis Patients

description: Syntetica data set of the status of coloniation and infection for the patients at the different time points assessed.
DOI: 10.6084/m9.figshare.13350596.v1
title: ECCOv2 upper 200m U velocity

description: ECCOv2 U ocean velocity averaged over upper 200m every 3 days 1992-2019
DOI: 10.6084/m9.figshare.16649410.v1
title: Finding love in a hopeless place: a global database of misdirected amplexus in anurans

description: Database with 378 entries containing information on misdirected amplexus events and the amphibian species involved, as well as location, date and environmental parameters.
DOI: 10.6084/m9.figshare.26361724.v1
title: Supplementary Material for: Information needs in patients with potentially curable gastro-esophageal cancer

description: Introduction: Gastro-esophageal cancer patients' information needs remain understudied, despite their complex treatment trajectories. Methods: This study examined the (i) information needs of patients with or without postoperative complications, (ii) information needs of male and female patients, and (iii) the association between information needs and health-related quality of life (HR-QoL) following gastro-esophageal cancer surgery. Patients completed the EORTC-QLQ-INFO25, QLQ-C30, and QLQ-OG25 questionnaires before and after curative surgery. Five information-needs domains were investigated: information about the disease, about treatments, about medical tests, about things patients can do to help themselves, and overall helpfulness. Additionally, HR-QoL domains global health status, eating restrictions, and anxiety were explored. Results: 132 patients completed the questionnaires at baseline, 216 patients at 6-12 months, 184 patients at 18-24 months, and 163 patients at 3-5 years post-operation. There were no significant differences in information needs between patients with or without complications or between male and female patients. Patients with a higher global health status found the information more helpful at 6-12 months (p&lt;0.001), 18-24 months (p&lt;0.001), and 3-5 years (p&lt;0.001) postoperatively, as did patients who experienced more anxiety at 18-24 months (p=0.009) and 3-5 years (p&lt;0.001). Conclusion: Gastro-esophageal cancer patients, regardless of sex or postoperative complications, have consistent information needs; yet, those with higher global health status and elevated anxiety levels find the information particularly helpful, emphasizing the importance of tailored communication strategies.
DOI: 10.6084/m9.figshare.28766303.v1
title: Development of Predictive Models for Disease Progression and Outcomes in Severe COVID-19 Patients Caused by Omicron Variants Using Metabolomics and Machine Learning Techniques

description: The ongoing pandemic of COVID-19 has entered a new phase. Despite the reduced pathogenicity of the currently prevalent Omicron variant of SARS-CoV-2, there is still a risk of severe illness and death. Currently, there are no specific biomarkers available to accurately predict the progression and outcomes of Omicron induced COVID-19. Previous studies have mainly focused on untargeted or lipid metabolism analysis of individuals infected with the original strain of SARS-CoV-2 or Omicron with mild to moderate symptoms. Therefore, we conducted a comprehensive targeted serum metabolomics analysis using wide-targeted metabolomics technology to analyze the metabolic profiles of COVID-19 patients infected with Omicron. We also correlated differentially expressed metabolites with laboratory test parameters. Finally, we developed a machine learning model that can accurately predict key biomarkers for the progression and prognosis of severe COVID-19, aiming to provide valuable evidence for improving the prognosis and reducing mortality in severe cases caused by Omicron.
DOI: 10.17632/xzv6jg4sr4
title: Supplementary Videos for "Clarity in a click"

description: Supplementary Videos for "Clarity in a click: Sharing patient education handouts using electronic medical record tools at a nail specialty clinic."
DOI: 10.6084/m9.figshare.28226699.v1
title: qPCR_COVID19_data.xlsx

description: Nasopharyngeal swabs from infected adults were obtained during the acute and late convalescent phase of SARS-CoV-2 infection and compared the expression of both genes with non-infected family household member contacts at the National University Hospital, Singapore. Viral inactivation was performed prior to RNA extraction, followed by cDNA synthesis using the High Capacity cDNA Reverse Transcription Kit (Applied Biosystems, Thermo Fisher Scientific, Waltham, MA). RT-qPCR was performed to determine gene expression of ACE2 and TMPRSS2 against the housekeeping control 18S using the PerfeCTa SYBR® Green FastMix with Low ROX (Quantabio, Beverly, MA) and QuantStudio 5 Real-Time PCR system (Applied Biosystems, Thermo Fisher Scientific, Waltham, MA).
DOI: 10.6084/m9.figshare.28811126.v1
title: Poster: 3D geophysical inversions to characterize carbon sequestration potential of ultramafic rocks

description: Poster presented at EGU2025.Abstract: 10.5194/egusphere-egu25-13551
DOI: 10.6084/m9.figshare.8773841.v1
title: hallMark genesets from MSigDB

description: hallMark genesets downloaded from MSigDB
DOI: 10.6084/m9.figshare.9828827.v3
title: Harmonization of DMSP and VIIRS nighttime light data from 1992-2018 at the global scale

description: The dataset contains (1) temporally calibrated DMSP-OLS NTL time series data from 1992-2013; and (2) converted NTL time series from the VIIRS data (2014-2019)<br>Spatial resolution: 30 arc-seconds (~1km)<br>Information about the composited images from the calibrated DMSP dataset:F10(1992-1994); F12(1995-1996); F14(1997-2003); F16(2004-2009); F18(2010-2013)<br>We suggested using pixels with DN values greater than 7.
DOI: 10.6084/m9.figshare.1284990.v1
title: TAX PLANNING INTERNATIONAL COMPANIES AND THE TREATY SHOPPING

description: This paper wants to demonstrate the institutions of the International Tax Law as well as the importance of an international tax planning to companies whose wish to settle overseas. The intention hereby is to highlight the role of the international tax planning as a way to relief tax burden, more specifically the treaty shopping operations. Will be subjects of conceptualization: tax havens, tax evasions and international tax treaties celebrated by the Federative Republic of Brazil. Still being subjects of conceptualization the relevant Principles to the study of the current discipline, like the Principle of the Source and Residence and the Principle of the World Wide Income and the Territoriality.
DOI: 10.6084/m9.figshare.23694276.v1
title: Travel speed dataset of "A novel time-dependent electric vehicle pickup and delivery problem with time windows in cold supply chains"

description: This is the travel speed dataset for the the manuscript entitled “ A novel time-dependent electric vehicle pickup and delivery problem with time windows in cold supply chains ”. The dataset includes more than 100 thousand travel speed data within 2 months of Tianjin,China.
DOI: 10.6084/m9.figshare.19322405.v1
title: Supplementary Material for: Office-Based Procedures in the Management of Hemorrhoidal Disease: Rubber Band Ligation versus Sclerotherapy – Systematic Review and Meta-Analysis

description: <b><i>Introduction:</i></b> The most frequently used office-based procedures in hemorrhoidal disease (HD) are rubber band ligation (RBL) and sclerotherapy. Few studies have been published comparing the various types of instrumental therapy. The aim of this systematic review and meta-analysis was to compare the efficacy and safety of sclerotherapy and RBL. <b><i>Methods:</i></b> Three online databases were searched. Efficacy (control of symptoms, prolapse, bleeding and pain, patients’ satisfaction, and disease recurrence) and safety (complications, such as pain and bleeding) were the assessed outcomes. Pooled relative risks (RR) were computed for each outcome using a random-effects model, and heterogeneity was assessed by Cochran’s Q test and <i>I</i><sup>2</sup>. <b><i>Results:</i></b> Six RCTs and three cohort studies were included. Control of prolapse and bleeding was significantly higher with RBL (93.1% RBL vs. 66.4% sclerotherapy, RR 1.34, 95% CI 1.12–1.60 and 89.1% RBL vs. 78.7% SCL, RR 1.17, 95% CI 1.02–1.34, respectively). Both techniques had similar results in terms of pain relief, overall control of symptoms, and risk of recurrence at 3 months. Although patient satisfaction was significantly higher with RBL (77.8% RBL vs. 46.7% sclerotherapy, RR 1.59, 95% CI 1.01–2.50), post-procedural pain was significantly higher with this technique (24% RBL vs. 14% sclerotherapy, RR 1.74, 95% CI 1.32–2.28). There was no significant difference regarding post-procedure bleeding (11.1% RBL vs. 8.7% sclerotherapy, RR 1.29, 95% CI 0.86–1.94). In the subgroup analysis, according to the HD grade, post-procedure pain was higher with RBL only in HD grade II (vs. HD grade I–III). <b><i>Conclusions:</i></b> RBL performs better than sclerotherapy in controlling HD symptoms, specifically prolapse and bleeding, although post-procedural pain is a frequent complication. Recurrence is similar with both procedures. While waiting for the publication of results with sclerotherapy with new sclerosants, RBL remains the office-based treatment of choice in HD.