cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.wwpzgmsw1
title: Spring climate warming is associated with earlier spawn timing of an adfluvial trout population

description: Phenological shifts are being observed in salmonid fish in response to
 climate change. Between 1961 and 2021, daily spawner counts have taken
 place during the spawning season, and climate and hydrologic measurements
 have been measured continuously near the spawning site for Gerrard Rainbow
 Trout in British Columbia, Canada. Trend and multiple regression analysis
 was conducted to determine phenological shifts and associated climate and
 hydrology metrics. Over the 61-year time series, the timing of peak
 spawning shifted earlier by 7.7 days and the duration of the spawning
 period shortened by 12.3 days due to the spawning season ending earlier;
 the timing of the start of the spawning season did not change. The shift
 in peak spawn timing was associated most strongly with an increase in
 early spring (March-April) air temperature (2.2 °C), an increase in water
 temperature (1.3 °C), and less strongly with hydrology metrics.
 Mountainous regions are experiencing earlier and warmer springs. Adfluvial
 trout populations in these regions such as Gerrard Rainbow Trout may be
 remaining resilient at least partially through adaptation of phenology.
description: # Spring climate warming is associated with earlier spawn timing of an
 adfluvial trout population
 [https://doi.org/10.5061/dryad.wwpzgmsw1](https://doi.org/10.5061/dryad.wwpzgmsw1) ## Description of the data and file structure Observational data on Rainbow Trout spawn timing, abundance and water temperature was collected at the outlet of Trout Lake on the Lardeau River. Flow data was publicly available from the Water Survey of Canada's website. Air temperature data was publicly available on Environment Canada's website. ### Files and variables #### File: Dataset\_used\_in\_analysis.xlsx **Description:** Data used in regression analysis ##### Variables * Spawn period duration (days) * Spawner abundance estimate * Julian date peak spawn * Julian Date start spawn * Julian Date end spawn * Mar-apr mean air temperature (°C) * Julian day freshet start (estimated from kaslo 1996-2002) * Water temperature Apr 24-May 20 avg (°C) * Mar-Apr mean Lardeau flow (m3/s) (estimated from kaslo 1996-2002) * Julian day peak flow Lardeau Missing values are indicated by blank cells. ## Access information Other publicly accessible locations of the data: * [Historical Hydrometric Data Search - Water Level and Flow - Environment Canada](https://wateroffice.ec.gc.ca/search/historical_e.html) * [Historical Data - Climate - Environment and Climate Change Canada](https://climate.weather.gc.ca/historical_data/search_historic_data_e.html)
DOI: 10.5061/dryad.8gtht7709
title: Data from: The impact of river capture on fluvial terraces and bedrock incision

description: River terraces are landforms that represent paleo-river channels and are
 used in studies of geomorphology to understand climate and tectonic
 processes and constrain rates of river incision and landscape change.
 Here, we present a shapefile (generated in ArcPro) of river terraces
 mapped at 1:10,000 scale along the Kolokithas and Varitis Rivers in
 central Crete, Greece. The data consists of mapped surface deposits (i.e.
 river terraces and alluvial fans) and is designed to aid in quantitative
 analysis of landscape dynamics. River terraces are classified into five
 age groups, and alluvial fans have three age classifications based on
 luminescence geochronology and degree of soil maturity. The shapefile is
 in the WGS 1984 UTM Zone 35N projection.
description: # Data from: The impact of river capture on fluvial terraces and bedrock
 incision
 [https://doi.org/10.5061/dryad.8gtht7709](https://doi.org/10.5061/dryad.8gtht7709) ## Description of the data and file structure River terraces are landforms that represent paleo-river channels and are used in studies of geomorphology to understand climate and tectonic processes and constrain rates of river incision and landscape change. Here, we present a shapefile (generated in ArcPro) of river terraces mapped at 1:10,000 scale along the Kolokithas and Varitis Rivers in central Crete, Greece. The data consists of mapped surface deposits (i.e. river terraces and alluvial fans) and is designed to aid in quantitative analysis of landscape dynamics. River terraces are classified into five age groups, and alluvial fans have three age classifications based on luminescence geochronology and degree of soil maturity. The shapefile is in the WGS 1984 UTM Zone 35N projection. ### Files and variables The zip file contains a number of files with the same name (terraces_smo_0425) but different file extensions (.shp, .shpx, .shpn, .cpg, and .dbf) the collectively make an ESRI shapefile. This collection of files works together to provide the data, metadata, and projection information to be read by a geographic information system (GIS) software, such as ArcGIS, ArcPRO, or QGIS. To work with the files, unzip the folder, open your preferred GIS software, and add the data. In most GIS software packages, when adding the files, only the .shp file will be viable, but all files are needed to load the data into the software properly. #### File: Crete\_river\_terraces\_shape.zip **Description:** zip file containing relevant shapefile data files.
DOI: 10.5061/dryad.tb2rbp0cq
title: Serial block face scanning electron micrographs of mouse outer retina

description: Serial block face images of outer mouse retina were obtained using an
 Apreo VS scanning electron microscope (Thermo Scientific). Isolated adult
 C57Bl6J mouse retina was fixed by immersion with standard EM fixative (2%
 Glutaraldehyde, 2% Paraformaldehyde, 0.1M Phosphate Buffer). Thomas
 Bargar, University of Nebraska Medical Center (Omaha, NE) Electron
 Microscopy Core Facility (EMCF), sectioned a volume of outer retina
 spanning 14.3 × 20.6 × 24 mm. Voxel dimensions are 6 × 6 × 40 nm and each
 image consisted of 3435 × 4000 pixels.
description: # Serial block face scanning electron micrographs of mouse outer retina
 [https://doi.org/10.5061/dryad.tb2rbp0cq](https://doi.org/10.5061/dryad.tb2rbp0cq) ## Description of the data and file structure Serial block face images of outer mouse retina were obtained using an Apreo VS scanning electron microscope (Thermo Scientific). Isolated adult C57Bl6J mouse retina was fixed by immersion with standard EM fixative (2% Glutaraldehyde, 2% Paraformaldehyde, 0.1M Phosphate Buffer).  Thomas Bargar, University of Nebraska Medical Center (Omaha, NE) Electron Microscopy Core Facility (EMCF), sectioned a volume of outer retina spanning 14.3 × 20.6 × 24 mm.  Voxel dimensions are 6 × 6 × 40 nm and each image consisted of 3435 × 4000 pixels. 357 TIF files. ~14MB apiece. ## Code/software These files can be opened with any imaging program that accepts TIF files. For three dimensional reconstructions of cells, we have used Amira software (RRID:SCR_007353).  ## Access information Other publicly accessible locations of the data: * Synapse Data Repository ([https://www.synapse.org/Synapse:syn64720975](https://www.synapse.org/Synapse:syn64720975)). Data was derived from the following sources: * n/a
DOI: 10.5061/dryad.v15dv4276
title: Self-sensing piezoelectric composites via generation and reception of ultrasonic guided waves

description: This article presents a novel family of intelligent piezoelectric
 composite structures. Unlike conventional self-sensing composites limited
 to passive monitoring and constrained by low actuation capacity, this
 study puts forward a novel structure-actuator-sensor integration that
 combines with Electro-Mechanical Impedance Spectroscopy (EMIS) active
 sensing, while preserving its mechanical performances. The structure is
 formed by distributing Pb(Zr0.52Ti0.48)O3 piezo powder and epoxy as the
 active component to impregnate glass fibers, enabling every inch of the
 material to function as both an actuator and a sensor. To develop an
 insight into the EMIS method combined with piezoelectric composites,
 coupled-field Finite Element (FE) models are constructed for verifying the
 feasibility of the EMIS for damage detection. A Root Mean Square Deviation
 (RMSD) damage metric is subsequently utilized to determine the position of
 the structural damage. It is found that RMSD metric indicates substantial
 deviations in the impedance spectrum near the damage site, while spectrums
 at distant locations show minimal change, rendering a high resolution
 spatial diagnostic capability. Furthermore, piezoelectric composite plate
 specimens are crafted to achieve high degree of sensitivity and
 reliability through material parameter optimization and process
 refinement. A series of mechanical performance comparative experiments are
 conducted to verify the load-bearing competency of the composites.
 Finally, experimental validation is performed, demonstrating the
 performance of the EMIS active sensing for the damage localization in the
 proposed composite structures. The composite system possesses the prowess
 for achieving self-awareness through such actuator-sensor-structure
 integration, which could be potentially utilized in the next generation of
 wing and fuselage structures in aviation industry, high pressure vessels
 for hydrogen storage, and smart composite pipelines for transporting gas
 and petroleum. The paper finishes with summary, concluding remarks, and
 future work.
description: # Self-sensing piezoelectric composites via generation and reception of
 ultrasonic guided waves
 [https://doi.org/10.5061/dryad.v15dv4276](https://doi.org/10.5061/dryad.v15dv4276) ## Description of the data and file structure 1. The simulation file contains the original ANSYS APDL code and the impedance data corresponding to each electrode. 2. The subfolders are organized into summaries/compilations for three case studies, which are: No Damage, One Damage, and Two Damage. 3. Each subfolder contains further folders designated N1, N2, …, N7, corresponding to different electrodes. Within these electrode folders, TXT files whose names begin with ‘N’ are the ANSYS APDL source code, while TXT files whose names begin with ‘V’ or ‘VN’ contain the acquired impedance values for the respective electrode.
DOI: 10.5061/dryad.7h44j105h
title: Data from: Extraction of alpha-tomatine from green tomatoes by subcritical water

description: Green tomatoes, a by-product of agro-food industry, are rich in the
 glycoalkaloid alpha-tomatine. This compound presents health benefits
 including anti-inflammatory and fungicide properties. Subcritical water
 (SWE) extraction, a green and sustainable process, was used to extract
 tomatine from fresh or frozen tomatoes. SWE extracted ca. 200 mg
 tomatine/100 g tomato, an amount higher than conventional methods, at a
 temperature of 190 ̊C and a residence time of 15 minutes. Green tomatoes
 SWE extracts were characterized in terms of their composition and
 antioxidant activity. The phenolic content obtained was approximately 200
 mg of gallic acid equivalents/100 g tomatoes and the saponin content was
 1000 mg of tomatine equivalents/100 g tomatoes. Total carbohydrates
 content was different between fresh and frozen tomatoes, 1812 mg of
 D(+)-glucose equivalents/100 g tomatoes versus 1269 mg/100 g,
 respectively. In terms of antioxidant activity, a value around 100 mg of
 Trolox equivalents/100 g of tomatoes was obtained in the DPPH assay
 whereas a value of 558 mg of Trolox equivalents/100 mg fresh tomatoes
 versus 452 mg of Trolox equivalents/100 g frozen tomatoes were obtained by
 CUPRAC assay. SWE extraction proved to be a valuable method to extract
 glycoalkaloids from green tomatoes. The obtained extracts have potential
 to be used as ingredients and actives in cosmetic and pharmaceutical
 industry.
description: # Data
 [https://doi.org/10.5061/dryad.7h44j105h](https://doi.org/10.5061/dryad.7h44j105h) ## Description of the data and file structure The file has all the results showed in the paper. The first 2 tables of the paper present the tomatine concentration on the samples, expressed as milligram of alpha-tomatine per 100 gram of fresh tomatoes. Mean and standard deviation were calculated for sextiplicates. The Figure 3 and Table 3 of the paper present all the other results of the physico-chemical characterization of the extracts obtained and described in the paper. The values calculated are the mean of triplicates between two biological batches. The units change according to the quantification assay being performed. For phenolics assay the units are milligram of gallic acid equivalents per 100 gram of fresh tomatoes. For carbohydrates assay the units are milligram of D(+)-glucose equivalents per 100 gram of fresh tomatoes. For protein assay the units are milligram of protein per 100 gram of fresh tomatoes. For saponins assay the units are milligram of alpha-tomatine equivalents per 100 gram of fresh tomatoes. For DPPH and CUPRAC assay the units are milligram of trolox equivalents per 100 gram of fresh tomatoes. For water content the units are % (m/m). For ash content assay the units are milligram of ashes per 100 gram of fresh tomatoes. For brix measurement the units are ºBx, which means gram of sugar per 100 g of solution. If you have any doubts about the data, the corresponding author can be contacted.
DOI: 10.57761/hrbn-fv95
title: Item Response Warehouse

description: itemresponsewarehouse@stanford.edu
description: The Item Response Warehouse (IRW) is a collection of open, harmonized item response datasets.

- Open: The data are licensed for reformatting and public reuse. Their provenance is documented and code used to transform original data to meet the IRW data standard is available.
  
- Harmonized: The data are formatted to a common standard. The goal of the IRW is to make large quantities of data available for standardized analysis given the common formatting. 
  
 - Item Response: The IRW is comprised of cross-classified item responses. The key element required of data for inclusion in the IRW is that the data need to report individual responses that are cross-classified by the focus of measurement (typically a person) and the measurement tool (typically an item).
  
These datasets in IRW span a wide range of measures; examples include measures of ability in education settings, measures of partisanship based on voting records, and personality measures based on survey questions.  Responses can be scored in a variety of ways (dichotomous, polytomous, continuous) and may contain additional data (e.g., response time).
description: Tables have been harmonized as per details given [here](<https://datapages.github.io/irw/standard.html>).


description: Please find information about data licenses and citation info [here](<https://datapages.github.io/irw/docs.html>).
DOI: 10.17632/grgwpgkpdg.1
title: Data from the STEP-HI Randomized Clinical Trial

description: This phase 3 double-blind, placebo-controlled randomized clinical trial, Starting a Testosterone and Exercise Program After Hip Injury (STEP-HI), was conducted at 8 US sites between December 2018 and August 2023. Participants were women aged 65 years or older with a recent surgical repair of a nonpathologic femur fracture, met objective criteria for mobility impairment, and were community dwelling after discharge from rehabilitation. During the first 14 months of the trial, participants were randomly assigned to 1 of 3 treatment groups: exercise plus topical testosterone gel, exercise plus placebo gel, or enhanced usual care. Statistical analysis, using a modified intention-to-treat approach, was performed from November 2023 to November 2024.
DOI: 10.5061/dryad.7pvmcvf4q
title: Arisaema species from Shikoku Island, Japan

description: Arisaema species in Japan exhibit extensive morphological variation that
 has complicated their taxonomy, particularly the debated distinction
 between Arisaema japonicum and A. serratum. To assess whether A. japonicum
 represents a distinct lineage or falls within the natural variation of A.
 serratum, we generated a genomic dataset using genotyping-by-sequencing
 (GBS). Fresh leaf tissue was collected from 13 individuals representing
 four morphotypes (n = 7 A. serratum; n = 6 A. japonicum) across five sites
 on Shikoku Island, Japan, spanning elevational and ecological gradients.
 Libraries were prepared with ApeKI digestion and sequenced on an Illumina
 NovaSeq 6000 platform. Reads were quality-filtered, aligned to the draft
 genome of A. tosaense, and processed to call genome-wide SNPs. Subsequent
 analyses revealed no reciprocal monophyly between A. japonicum and A.
 serratum, with individuals instead clustering by geography. This
 dataset therefore, provides a robust genomic resource for testing species
 boundaries in the A. serratum complex and offers a foundation for future
 studies of hybridization, phylogeography, and morphological variation in
 Arisaema
description: # Arisaema species from Shikoku Island, Japan
 [https://doi.org/10.5061/dryad.7pvmcvf4q](https://doi.org/10.5061/dryad.7pvmcvf4q) ## Description of the data and file structure This dataset contains the draft genome assembly of *Arisaema tosaense*, a species within the *Araceae* family. The genome was sequenced using PacBio HiFi long-read sequencing technology. The dataset also contains paired reads resulting from GBS sequencing of *Arisaema serratum* and *Arisaema japonicum* individuals from Shikoku Island. This assembly represents a valuable resource for studying the evolutionary genetics, taxonomy, and phylogenomics of *Arisaema* and related taxa. ### Files and variables #### File: Arisaema_tosaense_HiFi_Jan25.p_ctg.fasta **Description:** Arisamea tosaense draft genome assembly #### Indiviudal Sequence Files: * A_japonicum_01.2.fq.gz * A_japonicum_01.1.fq.gz * A_japonicum_02.1.fq.gz * A_japonicum_02.2.fq.gz * A_japonicum_04.1.fq.gz * A_japonicum_04.2.fq.gz * A_japonicum_03.1.fq.gz * A_japonicum_03.2.fq.gz * A_japonicum_05.1.fq.gz * A_japonicum_05.2.fq.gz * A_serratum_01.1.fq.gz * A_serratum_01.2.fq.gz * A_serratum_02.1.fq.gz * A_serratum_02.2.fq.gz * A_japonicum_06.1.fq.gz * A_japonicum_06.2.fq.gz * A_serratum_03.2.fq.gz * A_serratum_03.1.fq.gz * A_serratum_04.1.fq.gz * A_serratum_04.2.fq.gz * A_serratum_05.1.fq.gz * A_serratum_05.2.fq.gz * A_serratum_06.1.fq.gz * A_serratum_06.2.fq.gz * A_serratum_07.1.fq.gz * A_serratum_07.2.fq.gz * P_tripartita.1.fq.gz * P_tripartita.2.fq.gz **Description:** paired read GBS sequence data. Forward reads with file tag ".1.fq.gz'. Reverse reads with file tag ".2.fq.gz". A_*serratum = Arisaema serratum. A*_*japonicum = Arisaema japonicum. P_tripartita = Pinellia tripartita.*
DOI: 10.15468/dl.uacvrj
title: Occurrence Download

description: A dataset containing 183637 records in GBIF matching the query:
SELECT
 '508' 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;= 6.681438016390939
 AND decimalLongitude &lt;= 14.391020376704889
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 183637 records were derived from 390 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004258-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/dmfk-4365
title: Parkes observations for project P1372 semester 2025OCTS_04

description: The gamma-ray source, 4GFL J1646.5-4406, has recently been identified as a new spider pulsar binary, and potentially a redback system due to its longer eclipse. With only ~30 redback systems known so far, a detailed analysis of such a new system is needed to further understand this population. We requested simultaneous 6x2-hour Murriyang UWL and 6x3-hour ATCA L-band observations on this newly identified pulsar, PSR J1646-4406, covering its ingress and/or egress to further constrain its orbital parameters, investigate the eclipse mechanism and intrabinary shocks, and understand its evolutionary pathways.
DOI: 10.5061/dryad.xksn02vsg
title: RNA-seq analysis explored the mechanism of BHLHE22's involvement in TNBC progression

description: Basic helix-loop-helix family, member e22 (BHLHE22), a basic helix loop
 helix transcription factor family member, functions vary in different type
 of cancer. Currently, its function in triple-negative breast cancer (TNBC)
 is unclear. The mRNA-seq analysis was performed to identify potential
 genes for the anti-cancer role of BHLHE22.
description: # RNA-seq analysis explored the mechanism of BHLHE22's involvement in
 TNBC progression
 [https://doi.org/10.5061/dryad.xksn02vsg](https://doi.org/10.5061/dryad.xksn02vsg) ## Description of the data and file structure: RNA gene expression profiles in MDA-MB-157 cells with or without BHLHE22 overexpression. The file contains the list of differentially expressed genes. The inducible expression pLVX-TetOne-Puro vector was used to overexpress BHLHE22 in MDA-MB-157 cells. After cell infection, the infected cells were treated with doxycycline (dox, 1 μg/mL) to induce BHLHE22 overexpression. Then, the infected cells were underwent sequencing. The sequencing images were generated by the sequencing platform and converted into sequential data (reads) by CASAVA base recognition. The fastq file contains the sequence information of sequencing fragments and their corresponding sequencing quality information. The raw data from sequencing contained a small number of reads with sequencing connectors or with low sequencing quality. In order to ensure the quality and reliability of data analysis, the original data were filtered. After filtering out the joints and low-quality reads, clean reads were aligned to the human genome (GRCh38) using HISAT2 software. HTSeq (v2.0.2) transcriptome analysis quantitative software was used for the reads count. The FPKM of each gene was then calculated based on the length of the gene and the readings mapped to that gene were calculated. DESeq2 software was used to perform differential expression analysis between different groups. P &lt;0.05 & |log2 (foldchange)| ≥1 was set as the threshold for significant differential expression. ### Sharing /Access information: none ### Code/software: We upload excel files that do not involve special code and software.
DOI: 10.34740/kaggle/dsv/14656792
title: National_Hog_Wholesale_Price