cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jvvssa
title: Occurrence Download

description: A dataset containing 382331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trachurus murphyi",
 "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 2015"
 ]
}

 The dataset includes 382331 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004203-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18407428
title: Tidal stresses near Ridgecrest, California from 2008 to 2026

description: Tidal stresses near Ridgecrest, California computed with SPOTL between 2008 and 2026. The tidal stresses were decomposed into normal, shear and Coulomb stresses according to the optimally oriented faults in the five regions studied in Beaucé et al. (in review).

This dataset contains two other files (nearest_point_pre_mainshock.csv and nearest_point_post_mainshock.csv) that are required by the example in `seistides` (https://github.com/ebeauce/seistides) to read the data and use them to analyze the tidal modulation of microseismicity and reproduce the results of Beaucé et al. (in review).

Reference:

Eric Beaucé, Piero Poli, Felix Waldhauser, Benjamin Holtzman and Christopher H. Scholz. Shift and increase in tidal modulation of seismicity in the Ridgecrest fault zone before and after the 2019 magnitude 7.1 earthquake. In review at Bulletin of Seismological Society of America.
DOI: 10.5061/dryad.sf7m0cgh1
title: The evolution of hearing and brain size in Eocene whales

description: Toothed whales (odontocetes) make use of high-frequency sounds to
 echolocate, differing significantly from their sister group baleen whales
 (mysticetes), which make use of low-frequency sound for long-distance
 communication. This divergence in auditory ability has led to considerable
 speculation as to how hearing functioned in the ancestral archaeocetes,
 and when the specialisations of modern species arose. Numerous studies
 have attempted to infer auditory capabilities from morphological
 correlates valid in modern species. Here, we build upon these previous
 methods with a focus on cochlear structures that have well-understood
 links to function. We combine this with information on the sound
 conduction apparatus to chart the evolutionary trajectory of cetacean
 hearing. Our results suggest an initial move towards low-frequency
 specialisation in early Eocene cetaceans, which coincides with the
 appearance of new sound conduction pathways. This paved the way for the
 later movement towards higher frequency hearing in protocetids, however
 the ultra-high and low-frequency hearing specialisations of both modern
 cetacean clades evolved after their divergence. We use this data to test
 the hypotheses that evolutionary brain size increases in cetaceans were
 related to the origin of high-frequency echolocation. We show that no
 shift in relative brain size coincides with any changes towards
 high-frequency perception. However, this does not rule out a role for
 other changes in hearing ability such as some simple forms of
 echolocation, similar to that suggested for hippopotamuses or bowhead
 whales, which may have been present in even the earliest cetaceans.
description: # The evolution of hearing and brain size in Eocene whales Dataset DOI:
 [10.5061/dryad.sf7m0cgh1](10.5061/dryad.sf7m0cgh1) ## Description of the
 data and file structure Data on endocranial volume and body mass collected
 from various sources. With several new data points from CT scans and
 direct measurement of specimens. ### Files and variables #### File:
 Description\_of\_H-GSP\_96314.docx (Zenodo) **Description:** Description
 of jaw from juvenile pakicetid. #### File:
 endocranial\_volume\_and\_body\_mass\_data\_for\_paleobiology.csv (Dryad)
 **Description:** Endocranial volume and body mass data ##### Variables *
 family: family level clade for each species * binomial_name: full
 taxonomic name for each species * common_name: a common name for each
 species * endocranial_volume: endocranial volume in cubic centimetres  *
 brain_mass: brain mass in grams * ocw_mm: occipital condyle width in mm *
 body_mass: body mass in kg
DOI: 10.5061/dryad.15dv41p6h
title: Evaluation results of the xMEN entity linking toolkit for multiple benchmark datasets

description: This dataset contains the benchmark results of the xMEN toolkit for
 cross-lingual medical entity linking on the following, publicly available
 benchmark datasets: Mantra Gold Standard Corpus (multilingual) Quaero
 (French) BRONCO150 (German) DisTEMIST (Spanish) MedMentions (English +
 machine-translated multilingual versions) For each dataset, we evaluate
 the default xMEN pipeline with different steps of candidate generation and
 weakly-supervised and fully-supervised re-ranking on the test sets or
 5-fold-cross-validation (for BRONCO150).Users of xMEN can use these data
 to compare their own results to the current state-of-the-art performance
 on these benchmarks, when loaded through the BigBIO library.
description: Evaluation of xMEN on datasets loaded from BigBIO
 dataloaders.
description: # xMEN Benchmark Results
 [https://doi.org/10.5061/dryad.15dv41p6h](https://doi.org/10.5061/dryad.15dv41p6h) ## Description of the data and file structure Evaluation of xMEN candidate generation + re-ranking (weakly and fully supervised) on various benchmark datasets. ### Files and variables Each file refers to a subset of a particular benchmark dataset. For each subset, we run candidate generation + weakly-supervised ([filename]_ws.csv) or fully-supervised ([filename]_fs.csv)  | Benchmark | Subset | file\_name | | :---------- | :---------- | :------------------ | | Mantra | German | mantra\_de | | | English | mantra\_en | | | Spanish | mantra\_es | | | French | mantra\_fr | | | Dutch | mantra\_nl | | Quaero | - | quaero | | BRONCO | Diagnoses | bronco\_diagnoses | | | Medications | bronco\_medications | | | Treatments | bronco\_treatments | | DisTEMIST | - | distemist | | MedMentions | German | medmentions\_de | | | English | medmentions\_en | | | Spanish | medmentions\_es | | | French | medmentions\_fr | | | Dutch | medmentions\_nl | #### **Variables:** * key: step of the xMEN pipeline * ngram: TF-IDF over character n-grams * sapbert: Cross-lingual SapBERT * ensemble: Ensemble of ngram and sapbert * candidates: Final candidates, i.e., including semantic type filtering if applicable * cross_encoder: Candidates re-ranked with a (ws or fs) cross-encoder  * recall_64: Recall@64, the proportion of ground-truth concepts retrieved among the top-64 predictions * precision_1: Precision@1, the proportion of true positives among the top-1 predictions (accounting for NIL) * recall_1: Recall@1, the proportion of ground-truth concepts retrieved among the top-1 predictions * fscore_1: F1-Score@1, harmonic mean of precision@1 and recall@1 ## Code/software Results are generated using the xMEN toolkit ([https://github.com/hpi-dhc/xmen](https://github.com/hpi-dhc/xmen)). The output is provided as plain CSV. ## Access information Data was derived from the following sources: * [https://github.com/bigscience-workshop/biomedical](https://github.com/bigscience-workshop/biomedical)
DOI: 10.5281/zenodo.18407287
title: Tidal stresses near Ridgecrest, California from 2008 to 2026

description: Tidal stresses near Ridgecrest, California computed with SPOTL between 2008 and 2026. The tidal stresses were decomposed into normal, shear and Coulomb stresses according to the optimally oriented faults in the five regions studied in Beaucé et al. (in review).

This dataset contains two other files (nearest_point_pre_mainshock.csv and nearest_point_post_mainshock.csv) that are required by the example in `seistides` (https://github.com/ebeauce/seistides) to read the data and use them to analyze the tidal modulation of microseismicity and reproduce the results of Beaucé et al. (in review).

Reference:

Eric Beaucé, Piero Poli, Felix Waldhauser, Benjamin Holtzman and Christopher H. Scholz. Shift and increase in tidal modulation of seismicity in the Ridgecrest fault zone before and after the 2019 magnitude 7.1 earthquake. In review at Bulletin of Seismological Society of America.
DOI: 10.5061/dryad.h70rxwdvb
title: Lactose operon sequences from: Nature reserves suppress evolutionary rescue from extinction

description: Escherichia coli K-12 GM4792 is incapable of utilizing lactose (lac-).
 However, when cultured in M9 medium containing both lactose and glucose as
 mixed carbon sources, lactose-utilizing reverse mutations (lac+) can be
 observed. We isolated and sequenced single clones of both lac- and lac+,
 and identified the molecular basis underlying the lactose
 utilization. 
description: Lactose operon sequences from single clones that are incapable of
 utilizing lactose (lac-) and those with lactose-utilizing reverse
 mutations (lac+) were obtained by PCR and sequencing, and these sequences
 were subsequently aligned.
description: # Lactose operon sequences
 [https://doi.org/10.5061/dryad.h70rxwdvb](https://doi.org/10.5061/dryad.h70rxwdvb) ## Description of the data and file structure Escherichia coli K-12 GM4792 is unable to utilize lactose (lac-). However, when grown in an M9 medium containing lactose and glucose as mixed carbon sources, we can observe reverse mutations that allow the bacteria to utilize lactose (lac+). We isolated and sequenced single clones of both lac- and lac+ strains, and the alignment of these sequences is presented. ### Files and variables #### File: Fragment(alignment).fas **Description:** Fragmented sequences of lactose operon  #### File: Full\_length(alignment).fas **Description:** Full length sequence of lactose operon  ## Code/software Any gene sequence alignment sofware such as  BioEdit and DNAman can be used to view the data. ## Access information Other publicly accessible locations of the data: * no Data was derived from the following sources: * no
DOI: 10.5281/zenodo.18407500
title: An analysis of medieval literacy in Scandinavian towns

description: As part of my thesis I analysed the social status and gender of issuers of charters written in five Scandinavian towns (Lund, Lödöse, Skara, Sigtuna and Uppsala) during the period 1076-1550, to see whether it was possible to discern when secular persons outside the elite started issuing charters and other documents to a greater extent.
DOI: 10.5281/zenodo.18407499
title: An analysis of medieval literacy in Scandinavian towns

description: As part of my thesis I analysed the social status and gender of issuers of charters written in five Scandinavian towns (Lund, Lödöse, Skara, Sigtuna and Uppsala) during the period 1076-1550, to see whether it was possible to discern when secular persons outside the elite started issuing charters and other documents to a greater extent.
DOI: 10.5061/dryad.rbnzs7hnj
title: Data from: Trace metals in nectar of important urban pollinator forage plants: A direct exposure risk to pollinators and nectar-feeding animals in cities

description: Pollinators are exposed to metals while foraging in the landscape and
 accumulate detectable concentrations of trace metals within their bodies,
 although major exposure routes remain unclear. As nectar is the main
 source of food for pollinators, we analyzed trace metal content within
 floral rewards to identify if nectar contained detectable metals and may
 serve as an oral exposure route. Nectar from flowering plant species
 growing within vacant lots in the city of Cleveland, OH, USA, was
 extracted using a centrifuge and tested for metals using ICP-MS. We
 collected volunteer flower species that are common pollinator forage
 plants. Nectar metal content varied by plant and metal species, but not by
 location. This work demonstrates the complexity of identifying metal
 exposure risk based on soil metal data alone, as oral metal exposure is
 dependent on plant species, metal species, and soil characteristics.
description: # Data from: Trace metals in nectar of important urban pollinator forage
 plants:  A direct exposure risk to pollinators and nectar-feeding animals
 in cities
 [https://doi.org/10.5061/dryad.rbnzs7hnj](https://doi.org/10.5061/dryad.rbnzs7hnj) ## Description of the data and file structure Flower samples were collected from vacant lots in Cleveland, OH, USA, in June 2022. Flower heads were removed from the stem of the plant and transported to the Gardner laboratory in Columbus, OH, USA, on ice. Nectar and sap were extracted via centrifuge at 7000 RPM for 2 minutes. Metal analysis of the resulting liquid was conducted in the Trace Elemental Research Laboratory on the Ohio State Campus, Columbus, OH, USA, using Inductively Coupled Plasma- Mass Spectroscopy. Data were created from a Perkin Elmer Sciex Elan DRCii Inductively Coupled Mass Spectroscopy machine. Any measured values below the detection limit (
DOI: 10.5061/dryad.crjdfn3f3
title: Multimodal 3-D histology atlas volumes and plates for developing human brains

description: This is a dataset accompanying a manuscript on a multimodal set of
 reference brains in a standardized coordinate framework for the developing
 human brain. Datasets for 5 brains are shared here corresponding to a
 range of gestational weeks from 13 to 21. Included are MRI, Nissl, and
 H&E volumes in a standardized coordinate system as well as a set
 of atlas plates.
description: # Multimodal 3-D histology atlas volumes and plates for developing human
 brains
 [https://doi.org/10.5061/dryad.crjdfn3f3](https://doi.org/10.5061/dryad.crjdfn3f3) ## Description of the data and file structure The data was collected through histological procedures on whole brain specimens which were digitized at 0.5 um per pixel in-plane resolution and were used to create the dataset volumes ### Files and variables The following folder structure and data files are given: * **FB10_GW21_CCF.zip** * **FB40_GW13_CCF.zip** * **FB63_GW13.zip** * **FB36_GW13.zip** * **FB3_GW21.zip** * Each of the zipped files contains the following Folder structure * average*_*age*_*space (FB3 as an example) * FB3_HEReg_to_timeaverage.vtk.zip * FB3_MRIReg_to_timeaverage.vtk.zip * FB3_NisslReg_to_timeaverage.vtk.zip * ras*_*space  (FB3 as an example) * FB3_HEReg_to_FB10_RAS.vtk.zip * FB3_MRIReg_to_FB10_RAS.vtk.zip * FB3_NisslReg_to_FB10_RAS.vtk.zip * registerd*_*space  (FB3 as an example) * FB3_HEReg.vtk.zip * FB3_MRIReg_uint8.vtk.zip * FB3_NisslReg.vtk.zip * Along with the segmentations file for the CCF brains (FB10 and FB40) * FB10_SegsReg.vtk ## Code/software ITK-SNAP, Slicer 3D This data can be loaded in Python or Matlab using loaders provided in [https://github.com/twardlab/emlddmm](https://github.com/twardlab/emlddmm) or by reading the file specifications by implementing readers following the file specification for simple legacy vtk format here [https://docs.vtk.org/en/latest/design_documents/VTKFileFormats.html](https://docs.vtk.org/en/latest/design_documents/VTKFileFormats.html)
DOI: 10.15468/dl.3xdyvu
title: Occurrence Download

description: A dataset listing the 20766 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Lithuania",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 20766 records were derived from 479 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004213-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkega5
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haplocoelum inoploeum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 66 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006546-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9swy7k
title: Occurrence Download

description: A dataset containing 13361 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinolophus euryale",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 13361 records from 351 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003988-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rg6jw6
title: Occurrence Download

description: A dataset containing 30850 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tecoma stans"
 ]
}

 The dataset includes 30850 records from 691 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003990-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17284992
title: Digital Elevation Models of Anak Krakatau (Indonesia) for 1919-2023

description: Supplementary Materials for: Forecasting future instability hazards at Anak Krakatau volcano, Indonesia, using archival reconstructions of edifice evolution
DOI: 10.15468/dl.bpebbh
title: Occurrence Download

description: A dataset containing 1472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Primula jesoana"
 ]
}

 The dataset includes 1472 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003992-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18444909
title: The RMS Vacuum: A Geometric Phase Transition in Cosmic Spacetime

description: This record contains the analysis notebooks and figures associated with the manuscript “The RMS Vacuum: A Geometric Phase Transition in Cosmic Spacetime,” submitted to Physics of the Dark Universe. The notebooks reproduce the Emerald Run, hysteresis, and NSIDE diagnostics using KiDS-1000 data products.
DOI: 10.15468/dl.xe7r6s
title: Occurrence Download

description: A dataset containing 730 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Habenaria sagittifera"
 ]
}

 The dataset includes 730 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003997-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25451/flinders.30968443
title: Dataset

description: Funtional Data Analysis (FDA) treats the data as a function and for waveform analysis provides a framework to compare differences in mean, variance and the first derivative of the functions.<br>Data set contains: Light adapted electroretinograms and extracted oscillatory potential waveforms were analyzed using an FDA approach. Light adapted ERG and oscillatory potential waveforms from 71 individuals with autism spectrum disorder and 98 Control participants. Robust and powerful nonparametric permutation-based tests were developed for the mean, variance, and first derivative of the waveforms.Dataset is part of the publication: "Technical Note: A new way to look at the light-adapted electroretinogram through Functional Data Analysis"<br>LInk to R-code for FDA analyssi available at: https://www.karlin.mff.cuni.cz/~hlavka/stat.html
DOI: 10.25451/flinders.30968443.v1
title: Dataset

description: Funtional Data Analysis (FDA) treats the data as a function and for waveform analysis provides a framework to compare differences in mean, variance and the first derivative of the functions.<br>Data set contains: Light adapted electroretinograms and extracted oscillatory potential waveforms were analyzed using an FDA approach. Light adapted ERG and oscillatory potential waveforms from 71 individuals with autism spectrum disorder and 98 Control participants. Robust and powerful nonparametric permutation-based tests were developed for the mean, variance, and first derivative of the waveforms.Dataset is part of the publication: "Technical Note: A new way to look at the light-adapted electroretinogram through Functional Data Analysis"<br>LInk to R-code for FDA analyssi available at: https://www.karlin.mff.cuni.cz/~hlavka/stat.html
DOI: 10.15468/dl.qhfxyk
title: Occurrence Download

description: A dataset containing 3042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (Mexico, United States of America)",
 "TaxonKey is Agave salmiana"
 ]
}

 The dataset includes 3042 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004000-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18439966
title: VFF: Precise Identification of Firmware Validator Functions Based on Basic Block Layout Patterns and LLM-based Semantic Validation

description: Internet of Things (IoT) devices are becoming increasingly ubiquitous, and taint-style vulnerabilities in firmware, such as command injection and buffer overflows, have emerged as serious security threats. Static analysis is a primary technique for detecting such vulnerabilities. Existing advanced static analysis tools, such as OctopusTaint, rely on the recovery of branch conditions, backward tracking over Data Dependency Graphs (DDGs), and fixed whitelists to identify validator functions. This reliance may cause structurally complex or irregularly named validator functions to be missed, leading protected data flow paths to be incorrectly reported as dangerous data flow paths, thereby increasing false positives. Moreover, due to the lack of secondary semantic confirmation of whether validator functions are truly effective, these tools may also mistakenly regard unprotected and exploitable data flow paths as safe, which substantially increases the risk of false negatives. To address these limitations, we propose the Validator Function Finder (VFF), an enhancement module for firmware vulnerability detection that more accurately identifies validation logic along sensitive data flow paths and confirms its effectiveness. To mitigate validator function under-identification, VFF first employs heuristic rules based on Basic Block Layout Patterns to locate additional candidate validator functions. In addition, it integrates LLM-based semantic analysis of decompiled function implementations to overcome the constraints of traditional fixed whitelists and improve coverage of vendor-specific validator functions. To prevent unprotected and dangerous data flow paths from being mistakenly classified as safe, VFF additionally introduces an LLM-based secondary semantic verification strategy that re-validates the inferred protection of data flow paths. Our evaluation on a dataset of 24 real-world firmware images from five major vendors demonstrates that, compared with the state-of-the-art tool OctopusTaint, VFF leverages Basic Block Layout Patterns to identify 46 additional data flow paths processed by previously unrecognized validator functions, and further discovers 649 data flow paths handled by validator functions beyond the predefined whitelist through semantic inference. Experimental results show that VFF substantially improves the recall of identifying validator-protected data flow paths from 27.5% in OctopusTaint to 85.0%, while reducing the false negative rate of vulnerability detection from 11.96% to 8.70%, thereby alleviating manual analysis effort and enhancing overall detection reliability.