cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29910682.v1
title: Reliable and Accurate Differentiation of Optic Perineuritis and Optic Nerve Sheath Meningioma from the Radiologists’ Perspective

description: Optic perineuritis (OPN) and optic nerve sheath meningioma (ONSM) can present overlapping clinical and MRI findings. We aim to identify reliable MRI features to accurately differentiate between the two, ensuring timely optimal management. Patients diagnosed with OPN or ONSM were retrospectively selected. Two board-certified neuroradiologists independently reviewed contrast-enhanced, fat-saturated T1-weighted orbital MRI. Masked to patient information, they assessed nerve sheath contrast enhancement across optic nerve segments, quadrants, and intraconal fat, and measured maximum enhancing thickness (MET) and maximum enhancing length (MEL). Subsequently, they provided diagnoses based on their expertise. In a second run, controls were included, and they were allowed to see MRI order notes. Inter-rater agreements and diagnostic performances were calculated. We studied 35 patients with 41 pathological orbits. OPN had more bilateral involvement (<i>p</i> = .012). Only MET reached the desired agreement (ICC = .902). Mean MET was 1 mm for OPN and 5.34 mm for ONSM (<i>p</i> &lt; .001). AUC was 0.823 with optimal threshold of 1.38 mm, giving 75% sensitivity, 73.8% specificity, and 74.3% accuracy. In the first evaluation, neuroradiologists demonstrated sensitivities of 56.3% and 62.5%, specificities of 78.9%, accuracies of 68.6% and 71.4%. In the second evaluation, first neuroradiologist accurately identified 50% of ONSM and 80% of OPN cases. Second neuroradiologist identified 100% of ONSM and 50% of OPN. Both neuroradiologists identified all controls. Neuroradiologists struggled to distinguish OPN from ONSM. MET is reliable, accurate, and useful for differentiating them alongside clinical features.
DOI: 10.17882/73142
title: SSS SMOS/SMAP OI L4 maps

description: 15 years of L-Band remote sensing Sea Surface Salinity (SSS) measurements have proven the capability of satellite SSS to resolve large scale to mesoscale SSS features in tropical to subtropical ocean. In mid to high latitude, L-Band measurements still suffer from large scale and time varying biases. Here, a simple method is proposed to mitigate the large scale and time varying biases. First, in order to estimate these biases, an Optimal Interpolation (OI) using a large correlation scale is used to map SMOS and SMAP L3 products and is compared to equivalent mapping of in situ observations. Then, a second mapping is performed on corrected SSS at scale of SMOS/SMAP resolution (~45 km). This procedure allows to correct and merge both products, and to increase signal to noise ratio of the absolute SSS estimates. Using thermodynamic equation of state (TEOS-10), the resulting L4 SSS product is combined with microwave satellite SST products to produce sea surface density and spiciness, useful to fully characterize the surface ocean water masses. The new L4 SSS products is validated against independent in situ measurements from low to high latitudes. The L4 products exhibits a significant improvement in mid-and high latitude in comparison to the existing SMOS and SMAP L3 products.
DOI: 10.15468/dl.en5jwy
title: Occurrence Download

description: A dataset containing 3578 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jatropha dioica"
 ]
}

 The dataset includes 3578 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002239-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14697885
title: Data for 'Distinct Conformational Dynamics of the Type-2 Angiotensin II Receptor Bound to Angiotensin II and Angiotensin (1–7)'

description: DATASET TITLE: Structural Ensembles and Clustering Analysis of AGTR2 MD Simulations===================================================================================

Overview:---------This dataset contains structural ensembles derived from 1 µs Molecular Dynamics (MD) simulations of the Angiotensin II Type 2 Receptor (AGTR2). The dataset covers six distinct systems, including Apo (ligand-free), Angiotensin II-bound, and Angiotensin (1-7)-bound complexes, initiated from both inactive and active conformational models.

These data are provided to support the structural evaluation of ligand-dependent conformational dynamics and to provide transparency regarding the sampling of conformational heterogeneity in different simulation setups.

Methodology:------------Structures were extracted using the GROMOS clustering algorithm (via GROMACS `gmx cluster` module) based on the backbone RMSD of the receptor.- RMSD Cutoff: 0.2 nm- Fitting Group: Receptor Backbone- Analysis Range: Equilibrated trajectories (1 µs)

Folder Contents & File Definitions:-----------------------------------The dataset is organized by system (Ligand + Initial State). Each folder contains:

1. *_Dominant_Structure.pdb:   - The central structure of the most populated cluster (Cluster 1).   - Represents the most statistically significant conformation visited during the simulation.   - Includes the receptor and ligand (if applicable).

2. *_All_Clusters.pdb:   - An ensemble file containing the central structures of all identified clusters.   - Provided to visualize the conformational landscape sampled during the simulation.

3. *_Clustering_Stats.log:   - Raw statistical output detailing the number of clusters, population percentage of each cluster, and RMSD distribution.

4. *_RMSD_Matrix.xpm:   - The RMSD matrix data used for the clustering analysis.

System Abbreviations:---------------------- Apo: Ligand-free receptor- AngII: Angiotensin II-bound complex- Ang17: Angiotensin (1-7)-bound complex- Inactive/Active: Refers to the initial conformational state of the receptor model used in the simulations.
DOI: 10.5281/zenodo.18433392
title: Data for 'Distinct Conformational Dynamics of the Type-2 Angiotensin II Receptor Bound to Angiotensin II and Angiotensin (1–7)'

description: DATASET TITLE: Structural Ensembles and Clustering Analysis of AGTR2 MD Simulations===================================================================================

Overview:---------This dataset contains structural ensembles derived from 1 µs Molecular Dynamics (MD) simulations of the Angiotensin II Type 2 Receptor (AGTR2). The dataset covers six distinct systems, including Apo (ligand-free), Angiotensin II-bound, and Angiotensin (1-7)-bound complexes, initiated from both inactive and active conformational models.

These data are provided to support the structural evaluation of ligand-dependent conformational dynamics and to provide transparency regarding the sampling of conformational heterogeneity in different simulation setups.

Methodology:------------Structures were extracted using the GROMOS clustering algorithm (via GROMACS `gmx cluster` module) based on the backbone RMSD of the receptor.- RMSD Cutoff: 0.2 nm- Fitting Group: Receptor Backbone- Analysis Range: Equilibrated trajectories (1 µs)

Folder Contents & File Definitions:-----------------------------------The dataset is organized by system (Ligand + Initial State). Each folder contains:

1. *_Dominant_Structure.pdb:   - The central structure of the most populated cluster (Cluster 1).   - Represents the most statistically significant conformation visited during the simulation.   - Includes the receptor and ligand (if applicable).

2. *_All_Clusters.pdb:   - An ensemble file containing the central structures of all identified clusters.   - Provided to visualize the conformational landscape sampled during the simulation.

3. *_Clustering_Stats.log:   - Raw statistical output detailing the number of clusters, population percentage of each cluster, and RMSD distribution.

4. *_RMSD_Matrix.xpm:   - The RMSD matrix data used for the clustering analysis.

System Abbreviations:---------------------- Apo: Ligand-free receptor- AngII: Angiotensin II-bound complex- Ang17: Angiotensin (1-7)-bound complex- Inactive/Active: Refers to the initial conformational state of the receptor model used in the simulations.
DOI: 10.15468/dl.fegf5g
title: Occurrence Download

description: A dataset containing 3055154228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3055154228 records from 44587 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002167-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.m63xsj44f
title: Data for Patterns and drivers of Nothobranchius killifish diversity in lowland Tanzania

description: Temporary pools are seasonal wetland habitats with specifically adapted
 biota, including annual Nothobranchiuskillifishes that survive
 habitat desiccation as diapausing eggs encased in dry
 sediment. To understand the patterns in the structure
 of Nothobranchius assemblages and their potential in
 wetland conservation, we compared biodiversity components (alpha, beta,
 gamma) between regions and estimated the role and sources of nestedness
 and turnover on their diversity. We
 sampled Nothobranchius assemblages from 127 pools across
 seven local regions in lowland Eastern Tanzania over two years, using dip
 net and seine nets. We estimated species composition and richness for each
 pool, and beta and gamma diversity for each
 region. We decomposed beta diversity to nestedness and
 turnover components. We tested nestedness in three main regions
 (Ruvu, Rufiji, Mbezi) using the number of decreasing fills metric and
 compared the roles of pool area, isolation and altitude on
 nestedness. A total of 15 species formed assemblages containing
 1-6 species. Most Nothobranchius species were
 endemic to one or two adjacent regions. Regional diversity was
 highest in the Ruvu, Rufiji and Mbezi regions. Nestedness was significant
 in Ruvu and Rufiji, with shared core (N. melanospilus, N.
 eggersi, N. janpapi) and common (N. ocellatus, N.
 annectens) species, and distinctive rare species.
 Nestedness apparently resulted from selective
 colonization rather than selective extinction and local species richness
 was negatively associated with altitude.
 The Nothobranchius assemblages in the Mbezi
 region were not nested, had many endemic species and the highest beta
 diversity driven by species turnover. Overall, we found unexpected local
 variation in the sources of beta diversity (nestedness, turnover) within
 the study area. The Mbezi region contained the highest diversity and many
 endemic species, apparently due to repeated colonisations of the
 region rather than local diversification. We suggest that annual killifish
 can serve as a flagship taxon for small wetland conservation.
description: Data collected in the wild from 127 killifish communitites using
 dipnets and seine nets. Presence absence data. Fish determined on the bank
 and released, vouchers taken.
DOI: 10.5061/dryad.xgxd254js
title: The occurrence data of Ageratina adenophora in China and Mexico

description: Aim: Niche dynamics of invasive alien plants (IAPs) play pivotal roles in
 biological invasion. Ageratina adenophora—one of the most aggressive IAPs
 in China and some parts of the world—poses severe ecological and
 socioeconomic threats. However, the spatiotemporal niche dynamics of A.
 adenophora in China remain unknown, which we aimed to elucidate in the
 present study. Location: China, Mexico Methods: Using a unifying
 framework, we reconstructed the climate niche dynamics of.
 adenophora and applied the optimal MaxEnt model to predict its
 potential geographical distribution in China. Furthermore, we compared the
 heterogeneity of A. adenophora niche between Mexico (native) and China
 (invasive). Results: We observed a low niche overlap between Mexico
 (native) and China (invasive). Specifically, the niche of A.
 adenophora in China has distinctly expanded compared with that in
 Mexico, enhancing the invasion risk of this IAP in the former country. In
 fact, the climatic niche of A. adenophora in Mexico is a
 subset of that in China. The potential geographical distribution
 of A. adenophorais concentrated in the tropical and subtropical
 zones of Southwest China, and its geographical distribution pattern in
 China is shaped by the combination of precipitation and temperature
 variables. Main conclusions: The niche dynamics of A.
 adenophora follow the hypothesis of niche shift and conservatism.
 The present work provides a unifying framework for studies on the niche
 dynamics of other IAPs worldwide.
description: Occurrence data of <em>A. adenophora</em> in the native
 (Mexico) and invasive (China) countries were collected and interpreted. First, we
 searched the occurrence data of <em>A.
 adenophora</em> from
 online databases,
 including the Southwest
 Environmental Information Network (SEINet, http://swbiodiversity.org),
 Global Biodiversity Information Facility (GBIF, http://www.gbif.org/), and Chinese Virtual Herbarium (CVH, http://www.cvh.ac.cn) and our field survey data. Further, we obtained detailed occurrence data of <em>A. adenophora</em> in China through field surveys. Next, we saved occurrence data with detailed geographic information and used ENMTools to assign the occurrence data of <em>A. adenophora</em> such that only one occurrence point was retained in per grid (5 km × 5 km) to minimize the bias or error (regarding the resolution of environmental variables) . Finally, 224 occurrence points in Mexico and 2,481 occurrence points in China were obtained.
DOI: 10.5061/dryad.6wwpzgn22
title: Data From: Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes

description: Introduction: Light response curves are widely used to quantify
 phenotypic expression of photosynthesis by measuring a single
 sample and sequentially altering light intensity within a chamber
 (sequential method) or by measuring different samples that are
 each acclimated to a different light level
 (nonsequential method). Both methods are often conducted in
 controlled environments to achieve steady-state results, and
 neither method involves equilibrating the entire plant to the
 specific light level. Methods: Here, we compare sequential and
 non-sequential methods in controlled (greenhouse),
 semi-controlled (plant grown in growth chamber and acclimated to
 field conditions 2-3 days before measurements), and
 field environments. We selected seven diverse rice genotypes
 (five genotypes from the USDA rice minicore collection: 310588,
 310723, 311644, 311677, 311795; and 2 additional genotypes:
 Nagina 22 and Zhe 733) to understand (1) the limitations of
 different methods, and (2) phenotypic plasticity of photosynthesis in
 rice grown under different environments. Results: Our results
 show that the non-sequential method was time-efficient and
 captured more variability of field conditions than the sequential method,
 but the model parameters were generally similar between the two methods
 except for the maximum photosynthesis rate (Amax). Amax was significantly
 lower across all genotypes under greenhouse conditions compared
 to the growth chamber and field conditions consistent with prior
 work, but surprisingly the apparent quantum yield (α) and the
 mitochondrial respiration (Rd) were generally not different among
 growing environments or measurement methods. Discussion: Our results
 suggest that field conditions are best suited to quantify phenotypic
 differences across different genotypes, and the nonsequential method was
 better at capturing the variability in photosynthesis.
description: Please see associated manuscript.
DOI: 10.5061/dryad.fbg79cnxc
title: Child 3D anthropometry evaluation datasets

description: Background: An efficacy evaluation of the AutoAnthro system to measure
 child (0–59 months) anthropometry in USA found three-dimensional imaging
 performed as well as gold-standard manual measurements for biological
 plausibility and precision. Objectives: Conduct an effectiveness
 evaluation of the accuracy of the AutoAnthro system to measure 0–59 months
 child anthropometry in population-based surveys and surveillance systems
 in households in Guatemala and Kenya, and in hospitals in China. Methods:
 The evaluation was done using health or nutrition surveillance system
 platforms among 600 children 0–59 months (Guatemala, Kenya) and 300
 children 0-23 months (China).  Field team anthropometrists and
 their assistants collected from each child manual and scan anthropometric
 measurements including length/height, mid-upper arm circumference (MUAC),
 and head circumference (HC, China only).  An anthropometry expert
 and assistant later collected both manual and scan anthropometric
 measurements on the same child.  The expert manual measurements
 were considered the standard compared to field team scans. Results:
 Overall, in Guatemala, Kenya and China, respectively, for inter-rater
 accuracy, average bias for length/height was -0.3 cm, -1.9 cm, -6.2 cm;
 for MUAC was 0.9 cm, 1.2 cm, -0.8 cm; for HC was 2.4 cm; the
 inter-technical error of measurement (TEM) for length/height was 2.8 cm,
 3.4 cm, 5.5 cm; for MUAC was 1.1 cm, 1.5 cm, 1.0 cm; for HC was 2.8 cm.
  For intra-rater precision, absolute mean difference and
 intra-TEM were 0.1 cm for all countries for all manual measurements. For
 scan, overall, absolute mean difference ranged for length/height 0.4-0.6
 cm; MUAC 0.1-0.1 cm; HC was 0.4 cm. For intra-TEM, length/height was 0.5
 cm in Guatemala and China, 0.7 cm in Kenya, and other measurements were
 &lt;0.3 cm. Conclusions: Understanding the factors that cause the many
 poor scan results and how to correct them will be needed prior to using
 this instrument in routine population-based survey and surveillance
 systems.
description: Details of the methods are provided in the article.
description: A detailled codebook is included in the dataset.
DOI: 10.5061/dryad.qz612jmj0
title: Data set: The origin of sex differences in song in a tropical duetting wren

description: The study of song development has focused on temperate zone birds in which
 typically only males sing. In the bay wren, Cantorchilus nigricapillus,
 both sexes sing, performing precisely timed, female-initiated duets in
 which birds alternate sex-specific song phrases. We investigated the
 origin of these sex differences by collecting bay wren eggs and nestlings
 and hand-raising them in individual acoustic isolation chambers. Each bird
 was tutored with either monophonic or stereophonic recordings of bay wren
 duets, or heard no song. As adults, each tutored bird individually sang
 complete duets, singing both male and female song phrases. On occasion,
 birds learned only the male or female part of a duet to which they were
 exposed. However, mono-tutored birds showed no sex-specificity in these
 solo songs, whereas stereo-tutored birds only sang solos consistent with
 their sex. In addition, stereo-tutored birds acquired songs over a longer
 period than did mono-tutored birds. In both groups, females showed more
 sex-specificity during the song learning process. Finally, we observed
 that tutored and acoustically isolated birds invented male-like songs,
 whereas only males invent songs in the wild. These results reveal the
 relative roles played by social versus innate influences in the
 development of sex-specific song in this species.
description: Data were collected from recordings of lab-raised male and female
 bay wrens individiually raised in acoustic isolation and tutored with
 duets from wild-caught birds. Duets were presented to one tretament group
 from a single monoaural speaker, and stereophincally to another group,
 with male and female contributions to the duet coming from separate
 speakers. Spectrograms of songs produced during and after song development
 were sorted into types and scored by independent observers to sdtermine
 repertoire size and,for sero-tutored birds, quality of song performance
 during song development.
DOI: 10.18150/2ov4oe
title: Temperature and electron concentration dependences of 1/f noise in Hg1−xCdxTe – evidence for a mobility fluctuations mechanism

description: This is a set of research data related to the article titled " Temperature and electron concentration dependences of 1/f noise in Hg1−xCdxTe – evidence for a mobility fluctuations mechanism", Nanoscale, 2025,17, 7281-7288.README.txt file contains detailed description of all dataset attached
DOI: 10.5061/dryad.573n5tb9k
title: Influence of weather on gobbling activity of male wild turkeys

description: Gobbling activity of Eastern wild turkeys (Meleagris gallopavo silvestris;
 hereafter, turkeys) has been widely studied, focusing on drivers of daily
 variation. Weather variables are widely believed to influence gobbling
 activity, but results across studies are contradictory and often
 equivocal, leading to uncertainty in the relative contribution of weather
 variables to daily fluctuations in gobbling activity. Previous works
 relied on road-based auditory surveys to collect gobbling data which
 limits data consistency, duration, and quantity due to logistical
 difficulties associated with human observers and restricted sampling
 frames. Development of new methods using autonomous recording units (ARUs)
 allows researchers to collect continuous data in more locations for longer
 periods of time, providing the opportunity to delve into factors
 influencing daily gobbling activity. We used ARUs from 1 March to 31 May
 to detail gobbling activity across multiple study sites in the
 southeastern United States during 2014 – 2018. We used state-space
 modeling to investigate the effects of weather variables on daily gobbling
 activity. Our findings suggest rainfall, greater wind speeds, and greater
 temperatures negatively affected gobbling activity, whereas increasing
 barometric pressure positively affected gobbling activity. Therefore, when
 using daily gobbling activity to make inferences relative to gobbling
 chronology, reproductive phenology, and hunting season frameworks
 stakeholders should recognize and consider the potential influences of
 extended periods of inclement weather. 
description: Gobbling data was collected using Autonomous Recording Units and
 processed using a Convolutional Neural Network. We collected weather data
 for SRS and CWMA from 2 weather stations located on SRS maintained by the
 U.S. Department of Energy and U.S. Department of Agriculture Forest
 Service. We used the most centrally located weather station on SRS to
 describe weather metrics associated with gobbling activity onsite. The
 second weather station was on the southern border of SRS, approximately
 10.5 km from the center of CWMA, and was used for gobbling evaluation on
 CWMA. For the Webb WMA Complex, CCWMA, and BFG, we collected weather
 metrics from the closest National Oceanic and Atmospheric Administration
 (NOAA) weather station. The closest weather station to the Webb WMA
 Complex was located in Varnville, SC (35 km), whereas the closest station
 to CCWMA (25 km) and BFG (35 km) was near Eatonton, GA.
description: Here is a simple breakdown of the
 file included: It is a CSV containing counts of gobbles, the number of
 units (ARUs recording), whether rain occurred (precipitation), mean wind,
 temperature, humidity, dew point, and barometric pressure per day on each
 site.