cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7924/r4x92f52w
title: Data from: Resolving the dynamic correlated disorder in KTa1-xNbxO3

description: This is the data for the publication "Resolving the Dynamic Correlated Disorder in KTa1−xNbxO3" that has been accepted by Proceedings of the National Academy of Sciences. The numerical data were used to generate the figures 1 to 5 in the main text of the publication. All the data are in text format except four of them are h5 format. Experimental data were collected through inelastic neutron scattering and diffuse neutron scattering experiments conducted at Oak Ridge National Laboratory. Simulation data were generated by density functional theory, ab initio molecular dynamics, and machine-learning molecular dynamics simulations. 
The abstract of the publication is "Understanding the complex temporal and spatial correlations of ions in disordered perovskite oxides is critical to rationalize their functional properties. Here, we provide new insights into the longstanding controversy regarding the off-centering of transition metal ions in the archetypal ferroelectric alloy KTa1−xNbxO3 (KTN). By mapping the full energy (E) and wavevector (Q) dependence of the dynamical structure factor S(Q, E) using neutron scattering, and rationalizing our observations with atomistic simulations leveraging machine learning, we fully resolve the static vs dynamic nature of diffuse scattering sheets, as well as their composition (x) and temperature dependence. Our first-principles simulations, extended with machine-learning molecular dynamics, reproduce both inelastic neutron spectra and diffuse features, and establish how dynamically-correlated transition metal off-centerings couple to phonons, unifying local and collective viewpoints. This study sheds new light into an exemplary ferroelectric systems and shows the importance of mapping the full S(Q, E) to reveal critical spatio-temporal correlations of atomic disorder from which functional properties emerge."
DOI: 10.15468/dl.69vv2f
title: Occurrence Download

description: A dataset containing 769212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-100.0",
 "Country is United States of America",
 "Geometry POLYGON((-114.6 -90,180 -90,180 90,-114.6 90,-114.6 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Actinopterygii"
 ]
}

 The dataset includes 769212 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0389544-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15485/1568865
title: Methane and CO2 chamber fluxes and porewater concentrations US-OWC Ameriflux wetland site, 2015-2018

description: The data measurements of CH4 and CO2 at different patch types (classified by dominant macrophyte vegetation or hydrological state). CH4 and CO2 data include 3 types of measurements: 1) Surface flux measurements from chamber measurements. 2) Leaf flux measurements from plant chambers, providing the rate per leaf area of methane flow through three species of macropyte aerenchemous plants (Water Lily, American Lotus, and Cattail) with the corresponding flux of CO2 at the same leaves. 3) Pore water concentrations of dissolved CO2 and CH4 concentrations. These are measured along vertical profiles at varying depths from the soil-water interface using in-situ porewater dialysis profiles (peepers). Observations of 1 and 3 are available monthly for most months of the growing season (May-September) of 2015, 2016 and 2018. Leaf flux measurements (plant chambers) are available only in June, July and August of 2018. We also included the patch type classification maps during 2015, 2017 and 2018 the relative water elevation map (bathymetry) for the site.In 8/23/2020 we added the data file ChamberFluxes_2018_Separated_Diffusive_Ebullitive_Fluxes.xlsx with observation related to chamber measurements in OWC during September 2018. In these observations, we partitioned the methane flux to its diffusive and ebullitive components, using an analysis approach we describe in section 5 of the methods "Ebullition and diffusion partitioning".
DOI: 10.15485/2403122
title: ELM-Wet: Inclusion of a wetland landunit with sub-grid representation of eco-hydrological patches and hydrological forcing in E3SM Land Model (ELM)

description: Wetlands emit the most biogenic methane (CH4) and present the greatest uncertainty in the global CH4 budget. Modeling these emissions is challenging due to the temporal and spatial variability in wetland structure and CH4 flux rates, along with complex interactions among hydrological, ecological, meteorological, and microbial processes that govern CH4 dynamics. To address these issues, we aim to enhance the accuracy of wetland representation in the U.S. Department of Energy’s Exascale Earth System Model (E3SM) Land Model, ELM. This effort led to the development of ELM-Wet, which incorporates a dedicated wetland landunit with subgrid representation of eco-hydrological patch types. We implement wetland-specific hydrology by imposing site-specific constraints on surface water levels, thereby allowing different patches to sustain varying depths of inundation. Additionally, we refined the calculation of aerenchyma transport diffusivity based on observed conductance across different vegetation types. We validated these enhancements through site-specific simulations of a coastal freshwater wetland, the Salvador WMA Freshwater Marsh (Ameriflux, site ID US-LA2), located in the coast of Louisiana (29.85N,90.29W) at an elevation of 0 m. The site was simulated with ELM-Wet and the default version ELMv1. We use Bayesian Optimization to parameterize CO2 and CH4 fluxes. Eddy covariance observations of CO2 and CH4 fluxes from 2012-2013 were used to train the model and data from 2021 were used for validation. In this repository, we include all the output of all the simulations performed using different versions of ELMv1 and ELM-Wet, all input required to the model, and the Matlab scripts we used to processed the output data. ELM-Wet_flmd.csv includes a detailed description of the datasets files.
DOI: 10.1594/pangaea.899408
title: Raw multibeam EM122 data and data products: METEOR cruise M127 (TAG Hydrothermal Field, Atlantic)

description: Edited and raw ship-based multibeam data covering the TAG hydrothermal Field at 26°N, Mid-Atlantic Ridge. Raw multibeam data was acquired with a Kongsberg EM122 system at 12 kHz and is provided as Kongsberg vendor format /*.all/ files. The datasets also includes a Geotif of the edited bathymetric grid (in WGS84) with 30m resolution as well as a Geotif of the backscatter information (WGS84; 35m resolution). Edited multibeam data includes approved xyz-data (soundings; WGS84) and a gridded dataset (WGS84; resolution 30m).
description: Data acquisition was performed using a multibeam sonar system Simrad EM-122 from Kongsberg. Raw data are delivered within Simrad current multibeam vendor format.SIMRAD raw data can be processed i.e. with the software packages CARIS HIPS/SIPS, Caraibes, QPS Qimera or with the open source software package MB-System (http://www.ldeo.columbia.edu/res/pi/MB-System/).
DOI: 10.17190/amf/1881563
title: AmeriFlux FLUXNET-1F BR-Npw Northern Pantanal Wetland

description: This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site BR-Npw Northern Pantanal Wetland. This is the FLUXNET version of the carbon flux data for the site BR-Npw Northern Pantanal Wetland produced by applying the standard ONEFlux (1F) software. Site Description - The site is located in the northern Pantanal in central South America. The site is subject to seasonal flooding with distinct wet seasons (November to April) and dry seasons (May to October).
DOI: 10.17632/2nyzr2rr7s.1
title: Data Supporting: Kuroshio-Derived Anticyclonic Eddies Drive Lateral Transport and Transformation of Oceanic Dissolved Organic Matter along the Continental Slope of South China Sea

description: The supplementary dataset includes data collected from 9 stations along the slope of the northern South China Sea during a research cruise in April 2020. The dataset comprises cruise information, Station ID, Longitude, Latitude, Bottom depth, Sampling depth, Potential temperature, Salinity, Dissolved oxygen (DO), Nitrate, Soluble Reactive Phosphorus (SRP), Chlorophyll a (Chl a), Dissolved Organic Carbon (DOC), and fluorescence peaks A, M, and T.
DOI: 10.17632/3r25j88v5m.1
title: The Impact of Technology Acceptance and Personality Traits on the Willingness to Engage in AI-assisted Hiring Practices.

description: Survey data
DOI: 10.17632/y4c6bk9h2m.2
title: ROLE OF ULTRASOUND WITH DOPPLER IN DIFFERENTIATING CLINICALLY SUSPECTED CASES OF LEIOMYOMA AND ADENOMYOSIS OF UTERUS

description: Abnormal uterine bleeding (AUB) is a common problem among women in the reproductive age group.1 It accounts for approximately 70% of the pathology in perimenopausal and post-menopausal women. AUB may occur because of hormonal imbalances or as a result of benign or malignant lesions.2
Benign myometrial lesions are common in women of reproductive age and can cause significant morbidity.3 The most common causes of uterine bleeding are adenomyosis and uterine leiomyoma. Leiomyomas are benign masses of uterine smooth muscles that can be surgically removed. Adenomyosis is an ill-defined lesion in which endometrial glands and stroma are interspersed with the myometrium, making complete removal through surgery challenging.4 Therefore, accurate preoperative diagnosis of these two conditions is critical. Imaging techniques play a crucial role in distinguishing leiomyomas from adenomyosis.
Histopathology, considered a corner stone in confirming the diagnosis, remains a gold standard.4
Transabdominal/transvaginal sonography is often performed and is planned as a first line imaging modality . The ability to globally visualise the pelvic structures and organs combined with colour Doppler greatly enhances diagnostic ability.5 
This study aimed to differentiate clinically suspected cases of uterine Leiomyoma and Adenomyosis using grey-scale 2D ultrasonography with color Doppler to determine its accuracy and confirm histopathological findings .
Owing to similar clinical signs and symptoms, misdiagnosing one in favour of the other is not uncommon. The organic cause responsible for menstrual disorders should be ruled out to provide a final cure for a broad range of gynecological diseases and preoperative diagnosis of these two conditions is vital for patients wishing to retain their fertility.
DOI: 10.18434/m32147
title: NIST Inorganic Crystal Structure Database (ICSD)

description: Materials discovery and development necessarily begins with the preparation and identification of product phase(s). Crystalline compounds can be identified by their characteristic diffraction patterns using X-rays, neutrons, and or electrons. An estimated 20,000 X-ray diffractometers and a comparable number of electron microscopes are used daily in materials research and development laboratories for this purpose. Access to crystal structure data is a critical step in solving research and applications problems in materials researches, and these data are of interest to analysts in areas such as materials design, property prediction and compound identification.NIST Crystallographic Data Center, in collaboration with partners all over the world, evaluates and disseminates chemical, physical and crystallographic information published on these materials. NIST Standard Reference Database 3: NIST Inorganic Crystal Structure Database (NIST ICSD) is a comprehensive collection of crystal structure data of nonorganic compounds (including inorganics, ceramics, minerals, pure elements, metals, and intermetallic systems) containing over 210,000 entries and covering the literature from 1913.NIST ICSD includes entries that fall into the following categories: full structure data from experimental refinement or derived from their iso-structural structure types, theoretically predicted structures from computer simulations, as well as partially characterized structures.The NIST ICSD web application provides materials researchers with a user-friendly interface to search the database based on bibliographic information, chemistry, unit cell, space group, experimental settings, mineral name/group and other derived data from expert evaluation. In addition, it also provides users with functions to easily create and examine results from various crystallographic computations, such as reduced cell, bond distance/angle, calculated powder diffraction data, and structure standardization.
DOI: 10.22002/d1.20087
title: Caltech 256

description: We introduce a challenging set of 256 object categories containing a total of 30607 images. The original Caltech-101 was collected by choosing a set of object categories, downloading examples from Google Images and then manually screening out all images that did not fit the category. Caltech-256 is collected in a similar manner with several improvements: a) the number of categories is more than doubled, b) the minimum number of images in any category is increased from 31 to 80, c) artifacts due to image rotation are avoided and d) a new and larger clutter category is introduced for testing background rejection. We suggest several testing paradigms to measure classification performance, then benchmark the dataset using two simple metrics as well as a state-of-the-art spatial pyramid matching algorithm. Finally we use the clutter category to train an interest detector which rejects uninformative background regions.
description: Related Publication: Griffin, Gregory and Holub, Alex and Perona, Pietro (2007) Caltech-256 Object Category Dataset. California Institute of Technology . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:CNS-TR-2007-001
DOI: 10.25573/serc.21947627.v2
title: Dataset: Methane fluxes from automated chambers, Global Change Research Wetland, Maryland

description: These datasets contain CH<sub>4 </sub>and CO<sub>2</sub> fluxes and related environmental data measured from an automated chamber system in the Smithsonian's Global Change Research Wetland (GCReW), a brackish, microtidal wetland side on a subestuary of the Chesapeake Bay. Fluxes were measured in 12 chambers, from May 2021 through December 2022.
DOI: 10.3886/icpsr13569.v1
title: Census of Population and Housing, 2000 [United States]: County-to-County Migration Flow Files
title: Version 1

description: These migration data come from the Census 2000 long-form questions about residence in 1995 and provide the number of people who moved between counties. There are two files, one for inflows from every county in the United States and another re-sorted by outflows to every county. Each file contains data for all 50 states and the District of Columbia, sorted by FIPS state and county codes.
description: Datasets: 
 
 DS0: Study-Level Files 
 DS1: County Inflow 
 DS2: County Outflow
description: Census of Population and Housing, 2000 [United States] Series
description: self-enumerated questionnaire 
For each county in the state, the number of migrants who moved to that county from another county is listed. These files contain records for FIPS state code in 2000, FIPS county code in 2000, county and state name in 2000 (current residence), FIPS state code in 1995, FIPS county code in 1995, county and state name in 1995 (previous residence), and the number of migrants who moved between those two counties (inflow).
For each county in the state, the number of migrants who moved away from that county to another county is listed. These files contain records for FIPS state code in 1995, FIPS county code in 1995, county and state name in 1995 (previous residence), FIPS state code in 2000, FIPS county code in 2000, county and state name in 2000 (current residence), and the number of migrants who moved between those two counties (outflow).
The data for Puerto Rico are not included in this version of the collection.
description: All persons living in housing units in the United States in 2000.
DOI: 10.48786/edbt.2024.60
title: Predicting Fact Contributions from Query Logs with Machine Learning
DOI: 10.5281/zenodo.13947187
title: AE_stress-rotation_data

description: Data for submitted paper: Laboratory acoustic emissions reveal stress rotation from preparation processes toward fault slip on varying surface roughness in granular materials
DOI: 10.5281/zenodo.13952979
title: ICP Forests data for Morin et al.

description: This folder includes processed data used for the ForCEEPS validation at the Europe scale (Morin et al. Journal of Ecology). Please have a look to the ReadMe file for details.
DOI: 10.5281/zenodo.6320862
title: Data supporting publication by Morinetal

description: <strong>Data deposit for Morin et al. showing data supporting some of the analyses.</strong> <strong>Please read the ReadMe_Morinetal.pdf file.</strong>
DOI: 10.60520/ieda/113669
title: Plagioclase Ultraphyric Basalts (PUB) from the Northeastern (NE) Pacific Ridge System: Mineral Textures and Geochemical Characteristics

description: Plagioclase crystals in plagioclase ultraphyric basalts (PUB) record changes in the major, trace, and isotopic compositions of evolving magmas. Those changes represent the record of specific processes in the crust and upper mantle that impart distinct crystal textures onto which chemical signatures are written. We report on the textural and compositional characteristics of PUB lavas from the Northeastern (NE) Pacific Ridge System (Juan de Fuca Ridge, Blanco Fracture Zone, and Gorda Ridge). The distribution of textural and compositional characteristics (e.g., single mode, bimodal, or trimodal distribution) are consistent with the presence of more than one parental magma in some samples. Specifically, we found that the populations of different textural types of plagioclase megacrysts are not compositionally distinct. We interpret the disconnect between texture and composition to be indicative of a system characterized by mixing of similar batches of magma resulting in populations of plagioclase megacrysts dominated by homogeneity or small degrees of normal/reverse zoning in most but not all cases.
DOI: 10.6084/m9.figshare.25579815.v2
title: Metadata

description: Metadata for all individuals collected for the Genetic work in project NORSUSTAIN
DOI: 10.6084/m9.figshare.26452900
title: Files for Montezuma Pollinator Project

description: These files contain five CSVs of data for plant-pollinator interaction networks from the Montezuma wetlands complex, surveyed in 2019 and 2020. The plant-bee networks are separated by month (June, July, August, September) as well as for all months combined. We also include two more CSVs of 1) Wetland flower phenology data and a 2) Bee Occurrence Data matrix. Additionally, we include the master dataset used for analyses and identifying bee species trends across our sampling period. We also include a comprehensive R script used for analyses. Please refer to the associated README.md document for information on these files.
DOI: 10.6084/m9.figshare.28380533
title: Supplementary Material for: Inflammatory factors and immune cells in relation to multiple myeloma

description: Abstract：
Introduction: Many reports indicate that the occurrence of multiple myeloma (MM) is closely related to inflammation and immunity. Although the survival rates have been gradually improving in recent years, the cure rate is still not optimistic enough. Therefore, it is necessary to continue exploring the causes of MM.
Method: This study utilizes Mendelian randomization (MR) analysis to establish the connection between inflammatory factors, immune cells, and the occurrence of MM.
Results: In Mendelian randomization studies, a significant correlation was observed between interleukin-1 receptor antagonist (IL-1Ra), tumor necrosis factor receptor 1 (TNFR1), Memory B cell percentage of B cells (Memory B cell %B cells), and Immunoglobulin D positive, CD24 negative percentage B cells (IgD+ CD24- %B cells) with the onset of MM. In particular, IgD+CD24-%B cells showed a statistically significant inverse relationship with the development of MM (P&lt;0.05, OR&lt;1), whereas IL-1Ra, TNFR1, and Memory B cell %B cells displayed a positive association with the onset of MM (P&lt;0.05, OR&gt;1). These findings contribute valuable insights to the understanding of the pathogenesis of MM.
Conclusion：This study emphasizes the significant role of inflammatory factors and immune cells in multiple myeloma (MM) progression. IL-1Ra, TNFR1, and Memory B cell percentages are identified as risk factors, while IgD+ CD24- %B cells may protect against progression, suggesting new immunomodulatory treatment strategies. However, research on IgD+ CD24- %B cells and MM is limited, necessitating future studies to clarify their mechanisms and effects on the tumor microenvironment. There is also an urgent need for clinical trials to assess therapies targeting these cells, as well as long-term follow-ups to understand their dynamic changes in relation to disease progression. Further investigation using animal models is warranted to validate their functional role in MM development.
DOI: 10.6084/m9.figshare.28387772
title: Supplementary Material for: Parental perceptions of preschool children’s weight status in China: A cross-sectional study

description: Objectives: Currently, overweight/obesity rates among children are increasing. Moreover, parents generally misunderstand their children’s weight status. The correct perception of overweight/obesity in early childhood is very important for children’s growth and development. The purpose of this study was to investigate parental perceptions of children’s weight status.
Methods: We analyzed data from a questionnaire study conducted among 1971 preschool children in local kindergartens from December 1, 2021, to January 31, 2022, and classified the participants as having non-overweight and overweight/obesity according to the International Obesity Task Force (IOTF) criteria. Parents were asked whether they perceived their children to have non-overweight or overweight/obesity. We analyzed the related factors that parents underestimated or overestimated their children's weight status.
Results: The rate of overweight/obesity in preschool children was 17.9%. Parental perceptions of children’s weight status were inconsistent with children’s real weight (kappa=0.351,p&lt;0.001). The correctness of mother’s perceptions of chilren’s weight was higher than that of father’s. Among children who were affected by overweight/obesity, 68.5% of parents underestimated their children’s weights. Mothers with overweight/obesity had a 1.56 times greater risk of underestimating the children’s weight than mothers who were affected by non-overweight (P=0.010, OR: 1.56, 95%CI: 1.11-2.18). Children’s sex and families with siblings were independent risk factors for parents to overestimate children's weight.
Conclusion: Parents were highly likely to misinterpret the weight status of their children who were affected by overweight/obesity. Mothers with overweight/obesity were more likely to underestimate their children’s weight.
DOI: 10.6084/m9.figshare.8267510
title: A high-resolution map of Singapore’s terrestrial ecosystems

description: A high-resolution map of Singapore’s terrestrial ecosystems. The dataset is described in the accompanying data descriptor article, available here: https://www.mdpi.com/2306-5729/4/3/116 Please reference this article when using the dataset.
DOI: 10.7917/ofsg3345
title: NASA Earth Exchange Global Daily Downscaled Projections - CMIP6