cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.9p8cz8wrt
title: Data from: Hindcasted body temperatures reveal underestimated thermal stress faced by intertidal species

description: Aim: As global climate changes, there is a clear mismatch between the
 temporal and spatial characteristics of body temperature and environmental
 temperature, confounding the assessment of thermal stress for organisms in
 many ecological studies. Here, we hindcast the hourly body temperatures of
 intertidal molluscs to explore the differences between them and
 environmental temperatures (air and water temperatures) in multiple
 metrics of thermal stress. Location: Intertidal shores in East Asia (0°-45
 °N, 100°E-140 °E). Time period: 40 years, 1980 to 2019. Major taxa
 studied: Mollusca. Methods: We collected habitat zonation data and
 measured the morphological characteristics of 25 intertidal molluscs
 living in East Asia. For three different types of intertidal molluscs
 (i.e., bivalves, limpets, and snails), we built corresponding heat budget
 models (HBMs) to hindcast the hourly body temperatures from 1980 to 2019.
 We analyzed the thermal stress of intertidal species faced in three
 metrics: annual extreme high temperatures (T99), seasonal daily maximum
 temperatures (DMT), and heatwaves, and compared them with environmental
 temperatures. Results: We found that T99 of body temperatures and their
 interannual warming rates are significantly higher than those of
 environmental temperatures. Moreover, there were nonnegligible mismatches
 between the seasonal thermal pattern and heatwaves of body temperatures
 and environmental temperatures, suggesting that the deleterious impacts of
 global warming on intertidal species are underestimated and cannot be
 directly revealed by environmental temperatures. Main conclusions: Thermal
 stress patterns of body temperature were significantly different from
 those of environmental temperature, and the thermal stress faced by
 intertidal species had been persistently underestimated. These results
 emphasize that body temperature should be used as the appropriate metric
 for evaluating and predicting the impacts of global warming and weather
 extremes in the intertidal biological system.
description: # Data from: Hindcasted body temperatures reveal underestimated thermal
 stress faced by intertidal species
 [https://doi.org/10.5061/dryad.9p8cz8wrt](https://doi.org/10.5061/dryad.9p8cz8wrt) ## Description of the data and file structure Data and codes for the paper "Hindcasted body temperatures reveal underestimated thermal stress faced by intertidal species". ### Files and variables #### File: codes.zip **Description:** Codes used in this paper, including HBM and Analysis. #### File: data.zip **Description:** Data used in this paper, including Heatwave, Measurement temperature, Morphological measurement data, and Temperature data. ## Code/software Code was done using MATLAB R2022a and R 4.3.1.
DOI: 10.5061/dryad.qfttdz0rv
title: A blueprint for creating high performing teams of collaborative ecologists and environmental scientists

description: Although effective teamwork has been widely studied, little of this
 information is readily accessible to ecologists and environmental
 scientists. In this article, we provide a Blueprint, comprised of 10
 professional tips, to guide ecological and environmental science teams
 towards high-performance and effective collaborations. This blueprint uses
 illustrative qualitative survey data and network analysis data from an
 international ecology-based team that used a values-based approach to
 influence the structure of their network, interpersonal relationships,
 build trust, and achieve their goals of creating an expansive
 collaborative to allow for sharing of data. 
description: # A blueprint for creating high performing teams of collaborative
 ecologists and environmental scientists Social network edgelist. Data were
 collected via survey from the rosters of a large scientific team. Data was
 exported into Excel spreadsheets and put into the repository in CSV files.
 Data was used to visualize the trust and leadership networks of the team.
 Data was collected during summer 2018. ## Description of the data and file
 structure A social network edge list has two columns. Every person is
 given an ID number. If, in the survey, a respondent notes that there is a
 connection between themself and another person then the respondent's
 ID number is listed in column 1 (labeled "from"), and the person
 they marked in the survey is listed in column 2 (labeled "to"). 
 A connection is marked as a 1. If there is no connection there is a zero
 or a blank. Blanks and zeros are read the same in most social network
 analysis software programs.  Data in the repository was based on the
 following two social network questions from the social network survey.
 Below is the name of the file, the social network questions that make up
 the file, and the possible data range.  GLTC Trust: Who did you trust?
 Data range 0-1.  GLTC Leader: Who is a leader? Data range 0-1.  ##
 Sharing/Access information Data was collected via an electronic survey and
 archived in CSV files. ## Code/Software This data set has previously been
 analyzed using UCInet, Netdraw, Visone, and RStudio.
DOI: 10.15468/dl.cupszz
title: Occurrence Download

description: A dataset containing 38537 records in GBIF matching the query:
SELECT
 '495' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 51.21395264452012
 AND decimalLatitude &lt;= 56.135291543055025
 AND decimalLongitude &gt;= -129.519183390344
 AND decimalLongitude &lt;= -113.58444627864597
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 38537 records were derived from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004091-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18385871
title: Atomic_Force_Microscopy_WP3_FORTH

description: This dataset was generated as part of DYNASTY project activities (specifically WP3, samples preparation, data production and data analysis), to support the characterization of the physical properties of van der Waals heterojunctions. Atomic Force Microscopy was carried out to evaluate the topography of MoS2 monolayers on top of dielectric nanoantennas
DOI: 10.5281/zenodo.18385872
title: Atomic_Force_Microscopy_WP3_FORTH

description: This dataset was generated as part of DYNASTY project activities (specifically WP3, samples preparation, data production and data analysis), to support the characterization of the physical properties of van der Waals heterojunctions. Atomic Force Microscopy was carried out to evaluate the topography of MoS2 monolayers on top of dielectric nanoantennas
DOI: 10.6073/pasta/b584f7e7e2fb4e884e66fb8d0a381ef0
title: Monitoring juvenile Chinook salmon outmigration using rotary screw traps on Butte Creek

description: The California Department of Fish and Wildlife (CDFW) conducts
 juvenile salmonid emigration monitoring on Butte Creek at the
 Parrot-Phelan Diversion Dam near Chico, California. Monitoring is
 conducted annually from October through June utilizing an 8-ft
 diameter rotary screw trap (RST) and a diversion screen trap (DST).
 Data from this monitoring is used to estimate juvenile spring-run
 Chinook salmon (Oncorhynchus tshawytscha) abundance and passage,
 identify alevin emergence timing, document juvenile size at
 emigration, and document rearing and emigration patterns. This data
 will also be used to inform the development of a juvenile production
 estimate (JPE) for spring-run Chinook salmon in the Sacramento River
 Watershed as required by Condition of Approval 7.5.2 of Incidental
 Take Permit No. 2081-2019-006-00 (ITP) issued by CDFW to California
 Department of Water Resources (DWR) for the long-term operation of
 the State Water Project. Salmonid data collected from the Butte
 Creek RST, among other datasets, is also used by the Salmon
 Monitoring Team (SaMT) to understand the movement of juvenile salmon
 in the Sacramento River Watershed to estimate the number of
 winter-run and spring-run Chinook salmon that have entered the
 Sacramento-San Joaquin Delta (Delta). SaMT is a real-time operations
 monitoring team required by Condition of Approval 8.1.2 of the ITP
 which meets weekly from October through June, to provide advice for
 real-time management of SWP operations to DWR, CDFW, and the Water
 Operation Management Team (WOMT) to minimize take of winter-run and
 spring-run Chinook salmon in the Delta.
 
 
 Note: data within the current year’s monitoring season are
 considered provisional.
DOI: 10.5061/dryad.kkwh70scx
title: CRASHS templates and models

description: This paper for the 20th anniversary of the Alzheimer’s Disease
 Neuroimaging Initiative (ADNI) provides an overview of magnetic resonance
 imaging (MRI) of medial temporal lobe (MTL) subregions in ADNI using a
 dedicated high-resolution T2-weighted sequence. A review of the work that
 supported the inclusion of this imaging modality into ADNI Phase 3 is
 followed by a brief description of the ADNI MTL imaging and analysis
 protocols and a summary of studies that have used these data. This review
 is supplemented by a novel study that uses novel surface-based tools to
 characterize MTL neurodegeneration across biomarker-defined AD stages.
 This analysis reveals a pattern of spreading cortical thinning associated
 with increasing levels of tau pathology in presence of elevated
 beta-amyloid, with apparent epicenters in the transentorhinal region and
 inferior hippocampal subfields. The paper concludes with an outlook for
 high-resolution imaging of the MTL in ADNI Phase 4.
description: This dataset contains the template and model package for use with
 CRASHS. CRASHS is a surface analysis pipeline for medial temporal lobe
 anatomical structures. It uses output of the ASHS pipeline (automatic
 segmentation of hippocampal subfields) as input. The CRASHS template
 contains geometrical models and deep learning networks used internally by
 the CRASHS software to match an individual's temporal lobe to a
 template. Please see CRASHS
 documentation for instructions on using the package.
description: # CRASHS Template and Model Package This folder contains the templates and
 deep learning models needed to run CRASHS (cortical reconstruction for
 automated segmentation of hippocampal subfields). CRASHS and CRASHS
 documentation are available on
 [Zenodo](https://zenodo.org/records/13768447) and on the [CRASHS Github
 page](https://github.com/pyushkevich/crashs). This package is compatible
 with CRASHS version 0.2.5 and later. Please see the README.md file on
 [Zenodo](https://zenodo.org/records/13929778) or on the [CRASHS Github
 page](https://github.com/pyushkevich/crashs) for instructions on using
 this package with CRASHS software.
DOI: 10.7910/dvn/wdppjk
title: Data codificada

description: Archivos con el corpus empírico obtenido de entrevistas y encuestas codificado: Codificación Inicial, Codificación Enfocada y Codificación Teórica
DOI: 10.6084/m9.figshare.30918920
title: Medical undergraduate placements in general practice: what factors influence a practice’s decision to engage? Data from the Society of Academic Primary Care Placement Capacity Special Interest Group national practice survey of England

description: Medical schools across England face well-recognised challenges recruiting sufficient general practice placements for their students. Given the previously planned expansion in medical school places outlined in the last Government’s NHS Long Term Workforce Plan and plans to expand medical school places and train thousands more general practitioners laid out in the current Government’s <i>Fit for the Future: 10 Year Health Plan</i>, it is essential that medical schools understand the factors influencing a practice’s decision to engage with undergraduate placements. To address this, an electronic survey of general practices across England was undertaken to identify these factors with 242 responses collected. Thematic analysis of the freetext data was undertaken and found that workload and pressure on estates remain the biggest challenges to hosting medical students. Lack of support from medical schools, burdensome placement requirements and unprofessional student attitudes and behaviours were cited as a negative influence upon their decision to host. Financial renumeration was cited as both a positive and negative incentive for providing placements, suggesting that the introduction of the national funding tariff in 2022 has addressed the disparity between funding received by practices. The findings of this study add weight to the argument that addressing underfunding of medical student teaching in general practice is essential to positively impact upon placement availability. By brokering expectations between medical students and practising clinicians regarding professional behaviours and ensuring curriculum design is not unduly burdensome or restrictive, medical schools may be able to improve placement capacity within general practice.
DOI: 10.6084/m9.figshare.30918920.v1
title: Medical undergraduate placements in general practice: what factors influence a practices decision to engage? Data from the Society of Academic Primary Care Placement Capacity Special Interest Group national practice survey of England

description: Medical schools across England face well-recognised challenges recruiting sufficient general practice placements for their students. Given the previously planned expansion in medical school places outlined in the last Government’s NHS Long Term Workforce Plan and plans to expand medical school places and train thousands more general practitioners laid out in the current Government’s <i>Fit for the Future: 10 Year Health Plan</i>, it is essential that medical schools understand the factors influencing a practice’s decision to engage with undergraduate placements. To address this, an electronic survey of general practices across England was undertaken to identify these factors with 242 responses collected. Thematic analysis of the freetext data was undertaken and found that workload and pressure on estates remain the biggest challenges to hosting medical students. Lack of support from medical schools, burdensome placement requirements and unprofessional student attitudes and behaviours were cited as a negative influence upon their decision to host. Financial renumeration was cited as both a positive and negative incentive for providing placements, suggesting that the introduction of the national funding tariff in 2022 has addressed the disparity between funding received by practices. The findings of this study add weight to the argument that addressing underfunding of medical student teaching in general practice is essential to positively impact upon placement availability. By brokering expectations between medical students and practising clinicians regarding professional behaviours and ensuring curriculum design is not unduly burdensome or restrictive, medical schools may be able to improve placement capacity within general practice.
DOI: 10.6084/m9.figshare.30918920.v2
title: Medical undergraduate placements in general practice: what factors influence a practice’s decision to engage? Data from the Society of Academic Primary Care Placement Capacity Special Interest Group national practice survey of England

description: Medical schools across England face well-recognised challenges recruiting sufficient general practice placements for their students. Given the previously planned expansion in medical school places outlined in the last Government’s NHS Long Term Workforce Plan and plans to expand medical school places and train thousands more general practitioners laid out in the current Government’s <i>Fit for the Future: 10 Year Health Plan</i>, it is essential that medical schools understand the factors influencing a practice’s decision to engage with undergraduate placements. To address this, an electronic survey of general practices across England was undertaken to identify these factors with 242 responses collected. Thematic analysis of the freetext data was undertaken and found that workload and pressure on estates remain the biggest challenges to hosting medical students. Lack of support from medical schools, burdensome placement requirements and unprofessional student attitudes and behaviours were cited as a negative influence upon their decision to host. Financial renumeration was cited as both a positive and negative incentive for providing placements, suggesting that the introduction of the national funding tariff in 2022 has addressed the disparity between funding received by practices. The findings of this study add weight to the argument that addressing underfunding of medical student teaching in general practice is essential to positively impact upon placement availability. By brokering expectations between medical students and practising clinicians regarding professional behaviours and ensuring curriculum design is not unduly burdensome or restrictive, medical schools may be able to improve placement capacity within general practice.
DOI: 10.15468/dl.5ynxg6
title: Occurrence Download

description: A dataset containing 3010 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Firefly (Coleoptera: Lampyridae) species from the Atlantic Forest hotspot, Brazil."
 ]
}

 The dataset includes 3010 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004105-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.vx0k6dk1k
title: Mars Reconnaissance Orbiter (MRO) Mars Color Imager (MARCI) north seasonal cap original movies Mars years 28 to 35

description: The Mars Color Imager (MARCI) camera on the Mars Reconnaissance Orbiter
 (MRO) is a very wide angle push frame camera with 5 visible color
 channels. The camera acquires pole-to-pole image swaths on the sunlit side
 of the planet. The polar orbit of the spacecraft provides daily synoptic
 coverage that allows monitoring of seasonal cap retreat and interannual
 changes that occur between Mars years (MY) and over the northern
 hemisphere summer.  MARCI has a pixel size of 1.9 km and each
 frame provides a limb-to-limb view with significant overlap of image
 frames at the pole so that a mosaic can be made to cover all longitudes of
 the polar region each day. Each MARCI mosaic is composed of images
 acquired over 12 to 13 orbits, combined in a north polar stereo
 projection, and red, green, blue (RGB) color images are constructed from
 three filters centered on wavelengths of  604 nm, 546 nm, and 437
 nm, respectively. Each image is time stamped by Earth day and year and
 solar longitude (Ls). Images for each Earth day are joined in time ordered
 sequence into an MP4 video. Prior to Ls ~ 0 and after Ls ~ 172, the pole
 is not sunlit and MARCI does not image latitudes all the way to the pole
 so that some frames exhibit a dark center until image acquistion covers
 the poles. Additionally, off-nadir rolls can create large gores at the
 poles and these images are removed from the time
 sequence.   In two previous publications these image
 mosaic frames were used to monitor seasonal polar cap recession over
 multiple Mars years (MY) (see related publications).This data set gathers
 the original MP4 movies of the MARCI mosaics in date and Ls order. Each
 movie file is titled by the Mars year over which the data were acquired.
 All original MARCI images are freely available through NASA's
 Planetary Data System.
description: Individual image mosaics are created for each Earth day and time
 stamped with Ls value as described in Calvin et al. (2015) Icarus, doi:
 10.1016/j.icarus.2014.08.026. These images frames are then combined into
 seasonal cap recession movies using Matlab at 4 frames/second as .mp4
 image files.  Users should refer to the associated articles for
 description of image artifacts.
description: # Mars Reconnaissance Orbiter (MRO) Mars Color Imager (MARCI) north
 seasonal cap original movies Mars years 28 to 35
 [https://doi.org/10.5061/dryad.vx0k6dk1k](https://doi.org/10.5061/dryad.vx0k6dk1k) ## Description of the data and file structure There are 8 individual .mp4 movie files. Each file compiles individual daily mosaics as described in the abstract. The file title my##north4fps.mp4 where my## indicates the Mars year over which the data were acquired, north indicates this is a north polar stereo projection and individual images are combined into the .mp4 at 4 frames/second.
DOI: 10.5061/dryad.0cfxpnwb9
title: DupLoss-2: Improved phylogenomic species tree inference under gene duplication and loss

description: Accurate species tree reconstruction in the presence of widespread gene
 duplication and loss is a challenging problem in eukaryote phylogenomics.
 Many phylogenomics methods have been developed over the years to address
 this challenge; these range from older methods based on gene tree
 parsimony to newer quartet-based methods. In this work, we introduce
 improved software for gene tree parsimony-based species tree
 reconstruction under gene duplication and loss. The new software,
 DupLoss-2, uses an improved procedure for computing gene losses and is far
 more accurate and much easier to use than its previous version, released
 over a decade ago. We thoroughly evaluate DupLoss-2 and eight other
 existing methods, including ASTRAL-Pro, ASTRAL-Pro 2, DISCO-ASTRAL,
 DISCO-ASTRID, FastMulRFS, and SpeciesRax, using existing benchmarking data
 and find that DupLoss-2 outperforms all other methods on most of the
 datasets. It delivers an average of almost 30% reduction in reconstruction
 error compared to iGTP-Duploss, the previous version of this software, and
 a 10% reduction compared to the best performing existing method. DupLoss-2
 is written in C++ and is freely available open-source.
description: # DupLoss-2: Improved phylogenomic species tree inference under gene
 duplication and loss
 [https://doi.org/10.5061/dryad.0cfxpnwb9](https://doi.org/10.5061/dryad.0cfxpnwb9) ## Description of the data and file structure All datasets are simulated and were generated to evaluate methods for phylogenomic species tree inference under gene duplication and loss. ### Files and variables #### File: HighErrorData.zip **Description:** HighErrorData.zip includes estimated gene trees with a high rate of reconstruction error. The estimated gene trees correspond to simulated species trees with 100 taxa and true gene trees simulated under three different gene duplication and loss rates. The zip file consists of three folders corresponding to the three duplication-loss rates. Each folder contains 20 replicate datasets, each consisting of 1000 estimated gene trees. #### File: ElevatedLossRatesData.zip **Description:** ElevatedLossRatesData.zip contains the input data for an analysis in which a subset of the taxa/species have elevated gene loss rates. The dataset includes three deletion rates—10%, 20%, and 40%—which correspond to the percentage of estimated gene trees from which 20% of randomly selected taxa were removed. Each folder contains 20 replicate datasets, each consisting of 1000 estimated gene trees. ## Access information Data was derived from the following source: [http://dx.doi.org/10.5061/dryad.mr3g6](http://dx.doi.org/10.5061/dryad.mr3g6)