cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/mk1x-m975
title: "Dental Panoramic Images"

description: "Even though Medical Imaging using the Deep learning technique is a significant topic for discussion due to its fast and accurate performance, it still faces many challenges in acquiring labeled datasets or getting the ground truth. We have used a labeled dataset of 664 X-ray images, and it has been utilized for the detection, classification, and prediction results of various dental diseases and their differential treatments in a panoramic X-ray using the Deep learning technique. This is significant because it will help dentists avoid misdiagnoses or missed diagnoses. This pilot research shows considerable potential in assisting radiologists and dentists in diagnosing and treating various tooth disorders, and it may even aid in forensic identification."
DOI: 10.17031/697b3b3cea5e0
title: CPR Data request - IrishSeaC3 - 29/01/2026

description: All CPR samples in CPR Area C3 (Irish Sea)
From January 1958 to December 2022. 
All taxa  (category 1) for large zooplankton (48), small zooplankton (52), phytoplankton (98). See guidelines in the archive.
DOI: 10.5281/zenodo.18403944
title: Validation of informCNA using ctDNA in vitro dilutions

description: The source code for informCNA is available at: https://github.com/nrlab-CRUK/informCNA

The dataset includes a tumor shallow whole-genome sequencing (sWGS) sample and six in vitro diluted plasma cfDNA samples. These cfDNA samples span a gradient of tumor fractions: 10 %, 3.2 %, 1.0 %, 0.32 %, 0.10 %, and 0.032 %.

Each text file contains genomic positions of reads with mappability >30, reported as chromosome and start coordinate.
DOI: 10.5281/zenodo.18403943
title: Validation of informCNA using ctDNA in vitro dilutions

description: The source code for informCNA is available at: https://github.com/nrlab-CRUK/informCNA

The dataset includes a tumor shallow whole-genome sequencing (sWGS) sample and six in vitro diluted plasma cfDNA samples. These cfDNA samples span a gradient of tumor fractions: 10 %, 3.2 %, 1.0 %, 0.32 %, 0.10 %, and 0.032 %.

Each text file contains genomic positions of reads with mappability >30, reported as chromosome and start coordinate.
DOI: 10.15468/dl.rr82e4
title: Occurrence Download

description: A dataset containing 2064 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-138.78053 33.10051,-89.21947 33.10051,-89.21947 52.89949,-138.78053 52.89949,-138.78053 33.10051))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eriogonum caespitosum"
 ]
}

 The dataset includes 2064 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005649-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sufjrk
title: Occurrence Download

description: A dataset containing 1961 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-158.21088 30.23654,-76.78912 30.23654,-76.78912 62.76346,-158.21088 62.76346,-158.21088 30.23654))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Castilleja occidentalis"
 ]
}

 The dataset includes 1961 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005648-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vevt2v
title: Occurrence Download

description: A dataset containing 2224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dracocephalum parviflorum"
 ]
}

 The dataset includes 2224 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005650-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18338016
title: Simulating networks of DNA nanomotifs

description: This record contains:

-Scripts to parameterise bead-spring models of DNA nanomotifs using Bayesian optimisation

-Scripts to run simulations using oxDNA or ReaDDy

-Scripts to evaluate nanomotif structure, networking and rheological properties

-oxDNA trajectories of single and paired DNA nanomotifs, obtained with umbrella sampling and MD simulations

-ReaDDy trajectories of single, pairs and large networks of nanomotifs obtained with MD simulations

Generation and analysis of the data was supported by the Helmholtz Association program Natural, Artificial and Cognitive Information Processing, the Helmholtz Initiative and Networking Fund on the HAICORE@KIT partition and by funding from the Carl-Zeiss-Stiftung via the Center SynGen.
DOI: 10.5281/zenodo.18338015
title: Simulating networks of DNA nanomotifs

description: This record contains:

-Scripts to parameterise bead-spring models of DNA nanomotifs using Bayesian optimisation

-Scripts to run simulations using oxDNA or ReaDDy

-Scripts to evaluate nanomotif structure, networking and rheological properties

-oxDNA trajectories of single and paired DNA nanomotifs, obtained with umbrella sampling and MD simulations

-ReaDDy trajectories of single, pairs and large networks of nanomotifs obtained with MD simulations

Generation and analysis of the data was supported by the Helmholtz Association program Natural, Artificial and Cognitive Information Processing, the Helmholtz Initiative and Networking Fund on the HAICORE@KIT partition and by funding from the Carl-Zeiss-Stiftung via the Center SynGen.
DOI: 10.15468/dl.sp3sxq
title: Occurrence Download

description: A dataset containing 849972 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Europe, Asia, Africa)",
 "OccurrenceStatus is Present",
 "TaxonKey is Iris"
 ]
}

 The dataset includes 849972 records from 3105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005606-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.vg57647
title: Data from: Inference of genetic architecture from chromosome partitioning analyses is sensitive to genome variation, sample size, heritability and effect size distribution

description: Genomewide association studies have contributed immensely to our
 understanding of the genetic basis of complex traits. One major conclusion
 arising from these studies is that most traits are controlled by many loci
 of small effect, confirming the infinitesimal model of quantitative
 genetics. A popular approach to test for polygenic architecture involves
 so‐called “chromosome partitioning” where phenotypic variance explained by
 each chromosome is regressed on the size of the chromosome. First
 developed for humans, this has now been repeatedly used in other species,
 but there has been no evaluation of the suitability of this method in
 species that can differ in their genome characteristics such as number and
 size of chromosomes. Nor has the influence of sample size, heritability of
 the trait, effect size distribution of loci controlling the trait or the
 physical distribution of the causal loci in the genome been examined.
 Using simulated data, we show that these characteristics have major
 influence on the inferences of the genetic architecture of traits we can
 infer using chromosome partitioning analyses. In particular, small
 variation in chromosome size, small sample size, low heritability, a
 skewed effect size distribution and clustering of loci can lead to a loss
 of power and consequently altered inference from chromosome partitioning
 analyses. Future studies employing this approach need to consider and
 derive an appropriate null model for their study system, taking these
 parameters into consideration. Our simulation results can provide some
 guidelines on these matters, but further studies examining a broader
 parameter space are needed.
description: Rcode.tarContains summarized data from simulations and all code for analyzes and figures.data_allRaw data from simulations. This data is summarized in file 'data_SE' as used in the analyses (see the file 'Code.R' in 'Rcode.tar.gz' for details).
DOI: 10.35079/hbm396.snlw.944
title: Visium (no probes) data from the fallopian tube (right) of a 30-year-old white female
DOI: 10.5061/dryad.md268
title: Data from: Terminal attack trajectories of peregrine falcons are described by the proportional navigation guidance law of missiles

description: The ability to intercept uncooperative targets is key to many diverse
 flight behaviors, from courtship to predation. Previous research has
 looked for simple geometric rules describing the attack trajectories of
 animals, but the underlying feedback laws have remained obscure. Here, we
 use GPS loggers and onboard video cameras to study peregrine falcons,
 Falco peregrinus, attacking stationary targets, maneuvering targets, and
 live prey. We show that the terminal attack trajectories of peregrines are
 not described by any simple geometric rule as previously claimed, and
 instead use system identification techniques to fit a phenomenological
 model of the dynamical system generating the observed trajectories. We
 find that these trajectories are best—and exceedingly well—modeled by the
 proportional navigation (PN) guidance law used by most guided missiles.
 Under this guidance law, turning is commanded at a rate proportional to
 the angular rate of the line-of-sight between the attacker and its target,
 with a constant of proportionality (i.e., feedback gain) called the
 navigation constant (N). Whereas most guided missiles use navigation
 constants falling on the interval 3 ≤ N ≤ 5, peregrine attack trajectories
 are best fitted by lower navigation constants (median N &lt; 3). This
 lower feedback gain is appropriate at the lower flight speed of a
 biological system, given its presumably higher error and longer delay.
 This same guidance law could find use in small visually guided drones
 designed to remove other drones from protected airspace.
description: GPS data for all of the
 terminal attack trajectories of peregrine falcons (Falco peregrinus) that
 were analysed in the paper.The raw GPS data
 relating to our publication are stored in the MAT-file Brighton2017.mat,
 readable in MATLAB Version 8 (The MathWorks, Inc.) or later. This MAT-file
 holds a single structure array, terminalTrajectories, containing the GPS
 data for all of the terminal attack trajectories of peregrine falcons
 (Falco peregrinus) that were analysed in the paper. A detailed description
 of the fields of this structure array can be found in the accompanying
 README file.Brighton2017.matVideo data for all of the attack flights of peregrine falcons (Falco peregrinus) that were analysed in the paper.The raw video data relating to our publication are stored in the accompanying zipped archive (.zip file) containing Quicktime movie (.mov) files readable in Quicktime Version 7 or later (Apple, Inc.). The videos are recorded and stored at 30 fps, and are compressed using the h264 codec. Each video is named in the format XxddmmyyZ.mov, the naming conventions for which are described in the accompanying README file. The videos show footage collected from either a video camera carried in the back of the bird, or a video camera carried by the remotely piloted aircraft towing the target.Brighton2017.zip
DOI: 10.35079/hbm464.rjhw.368
title: Visium (no probes) data from the ovary (right) of a 30-year-old white female
DOI: 10.5061/dryad.3sk8p
title: Data from: Forward chemical genetic screens in Arabidopsis identify genes that influence sensitivity to the phytotoxic compound sulfamethoxazole

description: BACKGROUND: The sulfanilamide family comprises a clinically important
 group of antimicrobial compounds which also display bioactivity in plants.
 While there is evidence that sulfanilamides inhibit folate biosynthesis in
 both bacteria and plants, the complete network of plant responses to these
 compounds remains to be characterized. As such, we initiated two forward
 genetic screens in Arabidopsis in order to identify mutants that exhibit
 altered sensitivity to sulfanilamide compounds. These screens were based
 on the growth phenotype of seedlings germinated in the presence of the
 compound sulfamethoxazole (Smex). RESULTS: We identified a mutant with
 reduced sensitivity to Smex, and subsequent mapping indicated that a gene
 encoding 5-oxoprolinase was responsible for this phenotype. A mutation
 causing enhanced sensitivity to Smex was mapped to a gene lacking any
 functional annotation. CONCLUSIONS: The genes identified through our
 forward genetic screens represent novel mediators of Arabidopsis responses
 to sulfanilamides and suggest that these responses extend beyond the
 perturbation of folate biosynthesis.
description: Part 1 of the sequence
 data for Table4.Paired end Illumina
 GAIIx sequence data in the format of qseq. This is one of the 4 datasets
 for Table 4.100329_1_qseq.tar.gzPart 2 of the sequence data for Table4.Paired end Illumina GAIIx sequence data in the format of qseq. This is the 2nd of the 4 datasets for Table 4.100329_2_qseq.tar.gzPart 3 of the sequence data for Table4.Paired end Illumina GAIIx sequence data in the format of qseq. This is the 3rd of the 4 datasets for Table 4.100329_3_qseq.tar.gzPart 4 of the sequence data for Table4.Paired end Illumina GAIIx sequence data in the format of qseq. This is the 4th of the 4 datasets for Table 4.100329_4_qseq.tar.gzPart 1 of the sequence data for Table2.Paired end Illumina GAIIx sequence data in the format of qseq. This is the 1st of the 2 datasets for Table 2.100831_6_qseq.tar.gzPart 2 of the sequence data for Table2.Paired end Illumina GAIIx sequence data in the format of qseq. This is the 2nd of the 2 datasets for Table 2.100831_7_qseq.tar.gz
DOI: 10.35079/hbm885.dnpr.374
title: Visium (no probes) data from the ovary (right) of a 30-year-old white female
DOI: 10.5061/dryad.14rr125
title: Data from: Measuring NDC80 binding reveals the molecular basis of tension-dependent kinetochore-microtubule attachments

description: Proper kinetochore-microtubule attachments, mediated by the NDC80 complex,
 are required for error-free chromosome segregation. Erroneous attachments
 are corrected by the tension dependence of kinetochore-microtubule
 interactions. Here, we present a method, based on fluorescence lifetime
 imaging microscopy and Förster resonance energy transfer, to
 quantitatively measure the fraction of NDC80 complexes bound to
 microtubules at individual kinetochores in living human cells. We found
 that NDC80 binding is modulated in a chromosome autonomous fashion over
 prometaphase and metaphase, and is predominantly regulated by centromere
 tension. We show that this tension dependency requires phosphorylation of
 the N-terminal tail of Hec1, a component of the NDC80 complex, and the
 proper localization of Aurora B kinase, which modulates NDC80 binding. Our
 results lead to a mathematical model of the molecular basis of
 tension-dependent NDC80 binding to kinetochore microtubules in vivo.
description: Figure1-DataSource data and plot data points in Figure 1Figure2-DataSource data and plot data points in Figure 2Figure3-Data.zipSource data and plot data points in Figure 3. Combine with Figure3-Data.zip.002.Figure3-Data.zip.002Source data and plot data points in Figure 3. Combine with Figure3-Data.zip.001.Figure3-Data_STLCSource data and plot data points in Figure 3 (STLC treated cells).Figure4-DataSource data and plot data points in Figure 4.Figure5-Data.zip.001Source data and plot data points in Figure 5. Combine with Figure5-Data.zip.002 and Figure5-Data.zip.003Figure5-Data.zip.002Source data and plot data points in Figure 5. Combine with Figure5-Data.zip.001 and Figure5-Data.zip.003Figure5-Data.zip.003Source data and plot data points in Figure 5. Combine with Figure5-Data.zip.001 and Figure5-Data.zip.002Figure6-DataSource data and plot data points in Figure 6.Figure7-DataSource data and plot data points in Figure 7.
DOI: 10.35079/hbm272.lmgt.253
title: Visium (no probes) data from the ovary (left) of a 30-year-old white female
DOI: 10.5061/dryad.84m54
title: Data from: Micro-computed tomography: introducing new dimensions to taxonomy

description: Continuous improvements in the resolution of three-dimensional imaging
 have lead to an increased application of these techniques in conventional
 taxonomic research in recent years. Coupled with an ever increasing
 research effort in cybertaxonomy, three-dimensional imaging could give a
 boost to the development of virtual specimen collections, allowing rapid
 and simultaneous access to accurate virtual representations of type
 material. This paper explores the potential of micro-computed tomography,
 a non-destructive three-dimensional imaging technique based on X-ray
 energies, for supporting research in systematics and taxonomy. The
 subsequent use of these data as virtual type material, so-called
 “cybertypes”, and the creation of virtual collections lie at the core of
 this potential. Sample preparation, image acquisition, data processing and
 presentation of results are demonstrated using polychaetes (bristle
 worms), a representative taxon of macro-invertebrates, as a study object.
 Effects of the technique on the morphological, anatomical and molecular
 identity of the specimens are investigated. The paper evaluates the
 results and discusses the potential and the limitations of the technique
 for creating cybertypes. It also discusses the challenges that the
 community might face to establish virtual collections. Potential future
 applications of three-dimensional information in taxonomic research are
 outlined, including an outlook to new ways of producing, disseminating and
 publishing taxonomic information.
description: Volumetric data from a
 micro-CT scan of the parapod of Eunice roussaeiEunice_roussaei.zipVolumetric data from a micro-CT scan of Eunice sp., iodine-stainedEunice_sp_I2E.zipVolumetric data from a micro-CT scan of Eunice sp., PTA-stainedEunice_sp_PTA.zipVolumetric data from a micro-CT scan of the anterior end of Hermodice carunculataHermodice_carunculata.zipVolumetric data from a micro-CT scan of the anterior end of Lumbrineris latreilliLumbrineris_latreilli.zipVolumetric data from a micro-CT scan of the anterior end of Phyllodoce lineataPhyllodoce_lineata.zipVolumetric data from a micro-CT scan of the anterior end of Alitta succineaAlitta_succinea.zipPart 1 of volumetric data from a micro-CT scan of the anterior end of Phyllodoce sp.Phyllodoce_Part1.zipPart 2 of volumetric data from a micro-CT scan of the anterior end of Phyllodoce sp.Phyllodoce_Part2.zipPart 1 of volumetric data from a micro-CT scan of the anterior end of Syllis gracilisSyllis_gracilis_Part1.zipPart 2 of volumetric data from a micro-CT scan of the anterior end of Syllis gracilisSyllis_gracilis_Part2.zip
DOI: 10.35079/hbm435.rcgl.979
title: Visium (no probes) data from the ovary (left) of a 30-year-old white female
DOI: 10.5061/dryad.5dd92
title: Data from: Efficient in situ barcode sequencing using padlock probe-based BaristaSeq

description: Cellular DNA/RNA tags (barcodes) allow for multiplexed cell lineage
 tracing and neuronal projection mapping with cellular resolution.
 Conventional approaches to reading out cellular barcodes trade off spatial
 resolution with throughput. Bulk sequencing achieves high throughput but
 sacrifices spatial resolution, whereas manual cell picking has low
 throughput. In situ sequencing could potentially achieve both high spatial
 resolution and high throughput, but current in situ sequencing techniques
 are inefficient at reading out cellular barcodes. Here we describe
 BaristaSeq, an optimization of a targeted, padlock probe-based technique
 for in situ barcode sequencing compatible with Illumina sequencing
 chemistry. BaristaSeq results in a five-fold increase in amplification
 efficiency, with a sequencing accuracy of at least 97%. BaristaSeq could
 be used for barcode-assisted lineage tracing, and to map long-range
 neuronal projections.
description: Sequencing images.
 imaging field 1, part 1 of 3Sequencing images.
 imaging field 1, part 1 of 3data11.zip.001Sequencing images. imaging field 1, part 2 of 3Sequencing images. imaging field 1, part 2of 3data11.zip.002Sequencing images. imaging field 1, part 3 of 3Sequencing images. imaging field 1, part 3 of 3data11.zip.003Sequencing images. imaging field 2, part 1 of 3Sequencing images. imaging field 2, part 1 of 3data12.zip.001Sequencing images. imaging field 2, part 2 of 3Sequencing images. imaging field 2, part 2 of 3data12.zip.002Sequencing images. imaging field 2, part 3 of 3Sequencing images. imaging field 2, part 3 of 3data12.zip.003Sequencing images. imaging field 3, part 1 of 3Sequencing images. imaging field 3, part 1 of 3data13.zip.001Sequencing images. imaging field 3, part 2 of 3Sequencing images. imaging field 3, part 2 of 3data13.zip.002Sequencing images. imaging field 3, part 3 of 3Sequencing images. imaging field 3, part 3 of 3data13.zip.003Sequencing images. imaging field 4, part 1 of 3Sequencing images. imaging field 4, part 1 of 3data14.zip.001Sequencing images. imaging field 4, part 2 of 3Sequencing images. imaging field 4, part 2 of 3data14.zip.002Sequencing images. imaging field 4, part 3 of 3Sequencing images. imaging field 4, part 3 of 3data14.zip.003scriptsscripts for processing the image filesscript.zip
DOI: 10.35079/hbm457.njmr.833
title: Visium (no probes) data from the ovary (right) of a 30-year-old white female
DOI: 10.5061/dryad.54bm8
title: Data from: Kinship, inbreeding, and fine-scale spatial structure influence gut microbiota in a hindgut-fermenting tortoise

description: Herbivorous vertebrates rely on complex communities of mutualistic gut
 bacteria to facilitate the digestion of celluloses and hemicelluloses. Gut
 microbes are often convergent based on diet and gut morphology across a
 phylogenetically diverse group of mammals. However, little is known about
 microbial communities of herbivorous hindgut-fermenting reptiles. Here, we
 investigate how factors at the individual level might constrain the
 composition of gut microbes in an obligate herbivorous reptile. Using
 multiplexed 16S rRNA gene sequencing, we characterized the faecal
 microbial community of a population of gopher tortoises (Gopherus
 polyphemus) and examined how age, genetic diversity, spatial structure and
 kinship influence differences among individuals. We recovered phylotypes
 associated with known cellulolytic function, including candidate phylum
 Termite Group 3, suggesting their importance for gopher tortoise
 digestion. Although host genetic structure did not explain variation in
 microbial composition and community structure, we found that fine-scale
 spatial structure, inbreeding, degree of relatedness and possibly ontogeny
 shaped patterns of diversity in faecal microbiomes of gopher tortoises.
 Our findings corroborate widespread convergence of faecal-associated
 microbes based on gut morphology and diet and demonstrate the role of
 spatial and demographic structure in driving differentiation of gut
 microbiota in natural populations.
description: Map
 FileSee ReadMe
 fileYuan_GT_mapfile.txtMicrosatellite genotypesMicrosatellite genotypes for all samples (focal and reference) across 21 loci. Each individual is represented by a single row. Unknown alleles are denoted by zero (0). Genotype calls generated and confirmed using GeneMarker (SoftGenetics).GP_genotyping_datamastersheet-1.xlsSample UTM coordinatesGPS coordinates are provided in the Universal Transverse Mercator (UTM) coordinate system for UTM zone 17N.UTM_coords.txtOTU TablesQIIME generated OTU tables (.biom format) used in this study. See ReadMe file for further information.Otu_tables.zipGutmicrobiomes_16SV4Raw sequence and barcode files from MiSeq.GutMicrobiome_16SV4.tar.gz