cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.gf1vhhmwr
title: Conservation energetics of beluga whales: Rates of energy consumption during submerged swimming in beluga whales

description: The balance between energetic costs and acquisition in free-ranging
 species is essential for survival and provides important insights
 regarding the physiological impact of anthropogenic disturbance on wild
 animals. Here we examine the resting and swimming energetics of beluga
 whales using open-flow respirometry and accelerometer tags to develop
 predictive energetic metrics for wild populations of belugas in Cook Inlet
 Alaska.
description: The data was collected on trained adult beluga whales at the
 Georgia Aquarium. Energetics are based on open-flow respirometry for
 animals resting on the water surface or swimming a perimeter route below
 the water surface. Two animals wore a CATS accelerometer tag that was
 placed with suction cups on the dorsal surface next to the dorsal ridge.
 The data presented here are the original data from Figure 4 of the Journal
 of Experimental Biology article, Conservation Energetics of Beluga Whales,
 which further details the methodology. 
description: # Conservation energetics of beluga whales: Rates of energy consumption
 during submerged swimming in beluga whales
 [https://doi.org/10.5061/dryad.gf1vhhmwr](https://doi.org/10.5061/dryad.gf1vhhmwr) We measured the resting and active metabolic rates of one young adult male and two young adult female beluga whales housed at the Georgia Aquarium (Atlanta, GA). Trials were conducted in temperature-controlled, saltwater pools with a maximum depth of 7.3 m for beluga whales. Animals swam a measured 34-meter loop circuit to the maximum depth of the pool. Oxygen consumption was measured via open-flow respirometry and converted to energy with values reported in J·kg-1·min-1 using a conversion factor of 20.1 J per ml O2. Speed was determined from video recordings and observers who timed each trial. Acceleration was measured for two beluga whales using a submersible tri-axial accelerometer tag that was recorded at 20 Hz and converted to *g* (1 *g* = 9.81 m/s^2). ## Description of the data and file structure This file represents the original data used in Figure 4 of the associated Journal of Experimental Biology paper by J. John et al. (2024). The data were used to determine the allometric relationships between energy expenditure and swimming stroke frequency, swimming speed, and partial dynamic acceleration. The data is organized in columns according to the animal subject (identified by name), date of measurement, and numerical values for the four parameters investigated. A table on the page also identifies the animal name with the corresponding beluga number in the manuscript. Note that blanks in column PDBA(x,y) correspond to missing data from one whale that was not wearing an accelerometer during the studies. ## Sharing/Access information NA
DOI: 10.5281/zenodo.18397528
title: A spatially resolved multi-omics atlas of the rat medial entorhinal cortex-hippocampus system during spatial cognition

description: File only named number included omics data, name with number and letter hosted spatial transcriptome data.
DOI: 10.5281/zenodo.18397529
title: A spatially resolved multi-omics atlas of the rat medial entorhinal cortex-hippocampus system during spatial cognition

description: File only named number included omics data, name with number and letter hosted spatial transcriptome data.
DOI: 10.15468/dl.cyuakx
title: Occurrence Download

description: A dataset containing 11629 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Thunnus thynnus",
 "Year 1700-2025"
 ]
}

 The dataset includes 11629 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003899-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5rr1q14c
title: MassIVE MSV000100625 - HPLM_UFM - AP-MS of UFM1 in HPLM vs RPMI
title: To examine whether ER localization contributes to conditional UFM1 dependence, we first assessed the composition of the active UFMylation machinery in HPLM+dS or RPMI+dS. Using UFM1-knockout cells expressing either wild-type UFM1, the conjugation-dead variant (deltaC3), or a control (RAP2A) bait, we performed Flag-based affinity purification-mass spectrometry (AP-MS).
DOI: 10.5061/dryad.8sf7m0cx1
title: Neural timescales reflect behavioral demands in freely moving rhesus macaques

description: Previous work demonstrated a highly reproducible cortical hierarchy of
 neural timescales at rest, with sensory areas displaying fast, and
 higher-order association areas displaying slower timescales. The question
 arises as to how such stable hierarchies give rise to adaptive behavior
 that requires flexible adjustment of temporal coding and integration
 demands. Potentially, this lack of variability in the hierarchical
 organization of neural timescales could reflect the structure of the
 laboratory contexts. We posit that unconstrained paradigms are ideal to
 test whether the dynamics of neural timescales reflect behavioral demands.
 Here we measured timescales of local field potential activity while male
 rhesus macaques foraged in an open space. We found a hierarchy of neural
 timescales that differs from previous work. Importantly, although the
 magnitude of neural timescales expanded with task engagement, the brain
 areas’ relative position in the hierarchy was stable. Next, we
 demonstrated that the change in neural timescales is dynamic and contains
 functionally relevant information, differentiating between similar events
 in terms of motor demands and associated rewards. Finally, we demonstrated
 that brain areas are differentially affected by these behavioral demands.
 These results demonstrate that while the space of neural timescales is
 anatomically constrained, the observed hierarchical organization and
 magnitude are dependent on behavioral demands.
description: # Neural timescales reflect behavioral demands in freely moving rhesus
 macaques
 [https://doi.org/10.5061/dryad.8sf7m0cx1](https://doi.org/10.5061/dryad.8sf7m0cx1) This dataset consists of the neural timescales (in ms) estimated from local field potential activity in freely moving macaques. ## Description of the data and file structure Session-wide neural timescales (Figure 2): session_wide_timescales.mat Baseline neural timescales (Figure 3): resting_baseline_timescales.mat Neural timescales before and after the first (LP1) and final (LPf) lever presses (Figure 3): LP_timescales.mat The change in neural timescales from the baseline before and after the first (LP1) and final (LPf) lever presses (Figure 4): LP_change.mat Before-after change in neural timescales for first lever press (LP1), final lever presses (LPf), stay lever presses, and leave lever presses (Figure 5): BA_change.mat ## Code/Software Neural timescales were estimated using the FOOOF toolbox. Donoghue T, Haller M, Peterson EJ, Varma P, Sebastian P, Gao R, Noto T, Lara AH, Wallis JD, Knight RT, Shestyuk A, Voytek B (2020). Parameterizing neural power spectra into periodic and aperiodic components. *Nature Neuroscience*, 23, 1655-1665. DOI: 10.1038/s41593-020-00744-x
DOI: 10.5061/dryad.tqjq2bw6b
title: Morphometric data for colonies of Tabulipora sp.

description: One of the challenges for bryozoans is avoiding refiltering of water that
 has already had its plankton removed. Larger colonies develop colony-wide
 maculae-centered feeding currents to avoid refiltering water, and
 generally have elevated maculae (monticules). We hypothesize that height
 and spacing of monticules is inversely proportional to curvature of the
 colony surface. Larger flatter colonies should have higher and more
 closely spaced monticules. We compare two Permian palaeostomate bryozoans
 whose colonies form branches with elliptical cross-sections: the smaller
 and more elliptical cystoporate Evactinostella crucialis from Western
 Australia (n = 17) and the larger and flatter trepostome Tabulipora sp.
 from eastern North Greenland (n = 15). Using calipers and digital
 elevation models we measured curvature, monticule height, and number of
 monticules per area. Results indicate that Evactinostella branches are at
 least twice as curved as those of Tabulipora, their monticules are 1/2 the
 height of Tabulipora, and their monticules are 22% less densely spaced
 than those of Tabulipora. In Evactinostella colonies, surface curvature is
 inversely proportional to monticule height and spatial density which is
 not true for Tabulipora. Therefore, we conclude that the smaller and more
 curved the colony surface, the less the colony needs robust colony-wide
 feeding currents created by tall closely spaced monticules.
description: We measured branch width, branch thickness, and monticule height
 with digital calipers to the nearest 0.01 mm. Branch curvature in
 mm<sup>-1</sup> was calculated as ½ branch thickness/(½ branch
 width)<sup>2</sup>. Monticule spatial density in number per
 mm<sup>2</sup> was calculated as number of monticules per
 branch side/area of branch side. Using the Structure from Motion (SfM)
 method, we built digital elevation models (DEMs) of two branch
 surfaces. The DEMs were built in Agisoft’s Metashape Pro version 1.64 with
 0.1 mm resolution on the x and y coordinate axes and 0.01 mm resolution on
 the z (vertical axis). Topographic profiles through the colony surface
 were made with QGIS version 3.30 from monticule crest to monticule
 crest.
description: # Morphometric data for colonies of Tabulipora sp. Supplementary Table 2
 [https://doi.org/10.5061/dryad.tqjq2bw6b](https://doi.org/10.5061/dryad.tqjq2bw6b) Morphometric data for colonies of *Tabulipora* sp. used in this study. ## Description of the data and file structure Standard Excel spreadsheet with colonies in rows and colony identification and morphometric characters in columns. Empty cells: Missing values.
DOI: 10.15468/dl.z2jubs
title: Occurrence Download

description: A dataset containing 370 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Papilio daksha"
 ]
}

 The dataset includes 370 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003900-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2udwn4
title: Occurrence Download

description: A dataset containing 2118 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Avifauna de la Reserva de la Biosfera La Sepultura, Chiapas"
 ]
}

 The dataset includes 2118 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003902-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j6g6qs
title: Occurrence Download

description: A dataset containing 1472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Engraulis anchoita",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 1472 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003901-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.19382594.v1
title: Figshare R Code DEG analysis

description: R Code for conducting differentially expressed gene analysis<br>
DOI: 10.17632/bm2ps9zz2g
title: Data for: Training nonsymbolic proportional reasoning in children and its effects on their symbolic math abilities.

description: The files contain data from cognitive training programs (proportional reasoning Exp1 and Exp2, and magnitude comparison, Exp1), plus data from pre- and post-test cognitive assessments.
DOI: 10.17632/srkp2j4v93
title: A Dataset for the Classification of Different Kurdish Dialects

description: Kurdish is an Indo-Iranian language that is largely spoken by people of Kurdish descent in the countries of Turkey, Iraq, Iran, and Syria. It contains a number of regional dialects, the most common of which is Northern Kurdish (also known as Kurmanji or Badini), while Central Kurdish (also known as Sorani) is spoken in some regions of Iraq and Iran. A unique Kurdish dialect, Hawrami, often referred to as Gorani, is the primary language spoken in the Hawraman area, which spans portions of western Iran and northeastern Iraq. Despite the fact that the dialects have separate pronunciations, vocabularies, and certain grammatical distinctions, they share a common core. In spite of the difficulties, the Kurdish language continues to be an essential component of Kurdish identity and cultural legacy. It plays an essential role in the protection and promotion of the distinct cultural identity of the Kurdish people.

The concepts of language and dialect recognition are intricately interconnected within the fields of linguistics and natural language processing. Having a good dataset for Kurdish dialect recognition improves identification and classification, natural language processing applications for Kurdish, preservation of Kurdish linguistic heritage, cultural insights, customized content and services for users, empowerment of local businesses, and a benchmark for evaluating dialect recognition systems.

The presented dataset was gathered by numerous members of the University of Halabja's Computer Science Department's teaching staff over the course of several months. During each stage of the data collecting process, the established policies, procedures, and guidelines were adhered to. This included taking into consideration the ages as well as the genders of the speakers who were included in the dataset. The recordings are taken from a variety of TV programmes and TV interviews that were broadcast on Speda tv, NRT, and GK Sat. There were 2000 instances of the Sorani dialect, 2000 examples of the Badini dialect, and 2000 examples of the Hawrami dialect. The total duration of this dataset is 6000 s, and the duration of each sample is precisely one second.

The dataset labeling procedure that has been suggested consists of two consecutive stages. Initially, it is necessary to categorize the distinct sounds of each dialect, namely Sorani, Badini, and Hawrami, into different directories. Following this, it is recommended that the files included inside these folders be systematically labeled from 1 to 2000, according to the prescribed scheme: for Sorani files, the labels should range from s1 to s2000; for Badini files, the labels should range from b1 to b2000; and for Hawrami files, the labels should range from h1 to h2000.
DOI: 10.17632/t8rrbn9ynd
title: Data for: ENSO Impacts on Global Wave Climate and Potential Coastal Hazards

description: This repository contains data of the article: Odériz, Itxaso; Silva, Rodolfo; Mortlock, Thomas; Mori, Nobuhito (2020), “ENSO Impacts on Global Wave Climate and Potential Coastal Hazards". Journal of Geophysical Reserach Oceans Information is provided for the ocean basins with a 0.5º resolution in three folders: Folder 1) contains the linear trends of monthly average of wave power and mean wave direction from 1985 to 2018. Folder 2) contains the correlation coefficients between the wave parameters (wave power and wave direction; the time series were de-trended and the annual component removed) and the climate index ( ONI (Oceanic Nino Index) and SOI (Southern Oscillation Index), MEI (Multivariate ENSO Index)and Niño3.4. Folder 3) Contains the coastal classification carried out using a K-mean clustering technique with R(MEI-Pw) and R(ME-Dir) input data.
DOI: 10.25405/data.ncl.9883136.v1
title: 3. Expanded Interiors - Roman Objects from Herculaneum - ReadMe file collection: spreadsheet of contents

description: This document is a contents page and guide for using the <i>Expanded Interiors</i> Collection <b>Roman Objects from Herculaneum</b>. Please read in conjunction with the <b>Project Overview Metadata, Metadata Technical Method </b>and <b>Metadata for collection</b>. This document includes: File labelling guide; Spreadsheet of all <i>Expanded Interiors</i> Collections; Content of the <b>Roman Objects from Herculaneum Collection</b> (highlighted within the spreadsheet).
DOI: 10.17632/59j46prhvf
title: Helminths, Polyparasitism, and the Gut Microbiome in the Philippines
DOI: 10.17632/b2hsxc6485
title: Data for: Why Are Professors Poorly Paid?
DOI: 10.6084/m9.figshare.21946907.v1
title: Tap Water Isotope Data from the Netherlands

description: Tap water samples from the Netherlands. Oxygen, hydrogen and strontium isotope data.
DOI: 10.6084/m9.figshare.14780127.v1
title: Expression of 97 surface markers and 462 mRNAs in 31586 cells from 15 leukemic human bone marrow

description: Seurat v3 object<b><br></b><b>ASSAYS</b>:AB: Antibody expression dataRNA: mRNA expression dataintegrated: Antibody and mRNA expression matrices were concatenated and data was integrated across patients using scanorama<br><b>DIMENSIONALITY REDUCTION</b>MOFA: Multi-OMICS factor analysis to integrate AB and RNA data. MOFA was run on scanorama-integrated data and served as input for clustering and further dimensionality reduction.MOFAUMAP: UMAP performed on MOFA dimensions. <b>Projected:</b> Cell projected into the MOFAUMAP space of a healthy dataset. Display used in the manuscript.<br><br><b>METADATA</b>ct: Cell typeBatch: Source individual (AML1-3, AML Q1-Q6, APL Q1-Q6)<br>Patient Identifier age gender GenotypeAML Q1 AML116 71 f FLT3-ITD,NPM1-mutAML Q2 AML327 62 f FLT3-wt,NPM1-mutAML Q3 AML127 56 f FLT3-wt,NPM1-mutAML Q4 AML314 51 m FLT3-ITD,NPM1-mutAML Q5 AML334 78 m FLT3-wt,NPM1-mutAML Q6 AML183 61 m FLT3-wt,NPM1-mutAML1 AML1 44 f FLT3-ITD,NPM1-mutAML2 Q59 61 f FLT3-wt,NPM1-mutAML3 AML3 55 m FLT3-ITD,NPM1-mutAPL Q1 APL224 70 f APLAPL Q2 APL223 54 f APLAPL Q3 APL142 66 m APLAPL Q4 APL147 45 m APLAPL Q5 APL124 32 m APLAPL Q6 APL218 46 f APL
DOI: 10.6084/m9.figshare.21667757.v3
title: Table 5.8

description: <strong>Table 5.8: Source data for Rfx1/2/3 KO analysis.</strong> GE datasets for WT and Rfx1/2/3 KO ependymal cells. Each sheet contains Ensembl ID, gene symbol, expression levels (cRPKM) for Olfactory-Sperm dataset, spermatocytes-specific genes, olfactory-specific genes and cilia genes.
DOI: 10.15468/dl.zxjsv2
title: Occurrence Download

description: A dataset containing 2882 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Panicum capillare L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 2882 records from 227 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012994-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8gmxg5zftx
title: Vehicles License Plate Dataset

description: This Dataset contains Bangladeshi license plate images
DOI: 10.17632/d2brgynfdw
title: From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses

description: Replication Code and Pseudo Data for "From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses" to be published in the Journal of Financial Economics.
DOI: 10.17632/gfdnw4y887
title: The role of financial institutions in the green energy transition: International Panel Study 1960 - 2017

description: Detecting the impact and role of financial institutions in each country/region on their renewable or green energy transition is the main research objective of this paper. For this purpose, the study uses a global sample of 214 countries/regions for the period 1960 to 2017. The list of selected countries/regions can be found in Appendix Table A1. The data availability of the global sample results that this is an unbalanced panel dataset. In addition, we categorize the 214 country/region sample into three groups according to the World Bank’s country income level classification, namely high-income countries/regions, upper-middle income countries/regions, and low and lower-middle income countries/regions.
DOI: 10.6084/m9.figshare.19516858.v1
title: Dataset For Software Defect Predictions

description: SOFTLAB: dataset were from a Turkish software company which develops embedded controllers for home appliances [1] <br>RELINK: Dataset with has 26 static code features and contains three projects (Apache HTTP Server (Apache), OpenIntents Safe (Safe), and ZXing) [2]<br>NASA: Dataset from e C-based and are extracted from a software system which is made of a set of static code features [3].<br>4. AEEEM: dataset was compiled by Marco et al. [4], and contains five open source projects with 5,371 data points. The projects include: Apache Lucene (LC), Equinox (EQ), Eclipse JDT Core (JDT), Eclipse PDE UI (PDE) and Mylyn (ML).<br><br>AEEEM software defect datasets which has a format of ARFF was collected by D’Ambros et al. [1]<br>[1] M. D’Ambros, M. Lanza, and R. Robbes, “Evaluating defect prediction approaches: A benchmark and an extensive comparison,”Empirical Softw. Engg., vol. 17, no. 4-5, pp. 531–577, Aug. 2012.<br>[3] ] B. Ghotra, S. McIntosh, and A. E. Hassan, “Revisiting the impact of classification techniques on the performance of defect prediction models,” in 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering, vol. 1. IEEE, 2015, pp. 789–800.<br>[4] M. D’Ambros, M. Lanza, and R. Robbes, “Evaluating defect prediction approaches: a benchmark and an extensive comparison,” Empirical Software Engineering, vol. 17, no. 4, pp. 531–577, 2012
DOI: 10.15468/dl.47k7uc
title: Occurrence Download

description: A dataset containing 125064 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2024-2025"
 ]
}

 The dataset includes 125064 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012985-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3pwj4bjfcb
title: Data in multi-hazard risk assessment using MCDM methods combined with GIS in Hong Kong

description: The data were used to introduce the judgment matrixes, which can be used to calculate the weight coefficients of AHP, interval FAHP and ANP methods for the multi-hazard risk assessment using multi-criteria decision making (MCDM).
DOI: 10.17632/cxspv8srz8
title: L-RPL

description: RPL and L-RPL metrics data. Description: RPL metrics are from running ContikiRPL from Contiki 3.0 L-RPL metrics are from running L-RPL proposed changes in ContikiRPL from Contiki 3.0 Simulation Data: This data is captured from the COOJA.testlog file for COOJA simulations. Testbed Data: This data is captured from the aggregator_log file of FIT-IoT test bed experiments.