cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2hxx6k
title: CCDC 2321689: Experimental Crystal Structure Determination

description: Related Article: Tainan Duan, Jia Wang, Xiaochan Zuo, Xingqi Bi, Cheng Zhong, Yulu Li, Yuhong Long, Kaihuai Tu, Weichao Zhang, Ke Yang, Huiqiong Zhou, Xiangjian Wan, Yan Zhao, Bin Kan, Yongsheng Chen|2024|Materials Horizons|11|4413|doi:10.1039/D4MH00699B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25345/c57941599
title: MassIVE MSV000096010 - GNPS Extracts of endophytic fungus Hypoxylon investiens, isolated from marine algae, cultivated with different mediums
title: Extracts of endophytic fungus Hypoxylon investiens, isolated from marine algae Asparagopsis taxiformis. The fungi was cultivated using solid and liquid medium. Epigenetic elicitors were also used in some experiments.
DOI: 10.15468/dl.gdkth7
title: Occurrence Download

description: A dataset containing 766195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "StartDayOfYear 60-244",
 "TaxonKey is Sphyrapicus varius (Linnaeus, 1766)",
 "Year 1987-2024"
 ]
}

 The dataset includes 766195 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038380-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rfrjhc
title: Occurrence Download

description: A dataset containing 3726 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Puma yagouaroundi (É.Geoffroy Saint-Hilaire, 1803)"
 ]
}

 The dataset includes 3726 records from 254 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038387-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88h3g9
title: Occurrence Download

description: A dataset containing 454 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.60666 12.7504,-74.00272 11.59115,-72.18752 10.78391,-70.88058 12.06492,-71.60666 12.7504))",
 "HasGeospatialIssue is false",
 "TaxonKey is Glossophaga longirostris Miller, 1898"
 ]
}

 The dataset includes 454 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038388-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8179166
title: Replication package for "An Exploratory Eye Tracking Study on How Developers Classify and Debug Python Code in Different Paradigms"

description: See the README.md file for more details.
DOI: 10.5281/zenodo.8179167
title: Replication package for "An Exploratory Eye Tracking Study on How Developers Classify and Debug Python Code in Different Paradigms"

description: See the README.md file for more details.
DOI: 10.7945/esg5-wv24
title: Review of Mammalian Auditory Capabilities: Electrophysiological Methodologies
DOI: 10.5281/zenodo.13880834
title: Shakespeare: Julius Caesar 1.2.30-187, sentences with Maximum Similarty Score. Appendix Table for "Innovation and Repetiton in Dramatic Texts"

description: This is an illustrative table for the study "Innovation and Repetition in Dramatic Texts", published in the journal JCLS by Botond Szemes and Mihály Nagy. The table contains a scene from Julius Caesar 1.2.30-187' , assigning to each utterance the most similar sentence and the degree of similarity based on an S-BERT model.
DOI: 10.5281/zenodo.13880835
title: Shakespeare: Julius Caesar 1.2.30-187, sentences with Maximum Similarty Score. Appendix Table for "Innovation and Repetiton in Dramatic Texts"

description: This is an illustrative table for the study "Innovation and Repetition in Dramatic Texts", published in the journal JCLS by Botond Szemes and Mihály Nagy. The table contains a scene from Julius Caesar 1.2.30-187' , assigning to each utterance the most similar sentence and the degree of similarity based on an S-BERT model.
DOI: 10.5519/qd.ih8a7ydu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2403490 records)
DOI: 10.15468/dl.2ra42v
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((38.15344 40.29807,49.25546 39.27551,47.11296 44.48567,36.40049 46.09254,38.15344 40.29807))",
 "TaxonKey is Serrulina serrulata (L.Pfeiffer, 1847)"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038389-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zkqn8d
title: Occurrence Download

description: A dataset containing 2984 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "Geometry POLYGON((-87.37397 20.83996,-86.88748 20.83996,-86.88748 21.09221,-87.37397 21.09221,-87.37397 20.83996))",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 1953-2024"
 ]
}

 The dataset includes 2984 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038390-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.3zl4jik1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (95344 records)
DOI: 10.7936/6rxs-103702
title: Adsorption of neodymium, dysprosium, and ytterbium to goethite under varying aqueous chemistry conditions [dataset]

description: The adsorption of rare earth elements (REEs) to iron oxides can regulate the mobility of REEs in the environment and is heavily influenced by water chemistry. This study utilized batch experiments to examine the adsorption of Nd, Dy, and Yb to goethite under varying pH, electrolyte (type and concentration), and concentrations of dissolved inorganic carbon and citrate. REE adsorption was strongly influenced by pH, with an increase from essentially no adsorption at pH 3.0 to nearly complete adsorption at pH 6.5 and higher. Citrate enhanced the adsorption of REEs at low pH (&lt; 5.0), likely by forming goethite-REE-citrate ternary surface complexes. However, citrate inhibited the adsorption of REEs at higher pH (&gt; 5.0) by forming aqueous REE-citrate complexes. Ionic strength had a small influence on REE adsorption, and the presence of dissolved inorganic carbon had no discernible effect. Equilibrium adsorption was interpreted with a triple layer surface complexation model (SCM). The selection of surface complexation reactions was guided by extended X-ray absorption fine structure spectra. A SCM with a single bidentate inner-sphere surface complexation reaction for Nd and two inner-sphere surface complexation reactions (one monodentate and one bidentate reaction) for Dy and Yb effectively simulated adsorption across a broad range of conditions in the absence of citrate. Accounting for the effects of citrate on REE adsorption required the addition of up to two ternary REE-citrate-goethite surface complexes. The SCM can enable predictions of REE transport in subsurface environments that have goethite as an important adsorbent mineral. This predictive capability could contribute to identifying potential REE sources and facilitating efficient extraction of REEs.
DOI: 10.15468/dl.exxs9x
title: Occurrence Download

description: A dataset containing 3639 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Small-eared shrews (Mammalia, Cryptotis) in the Neotropical region"
 ]
}

 The dataset includes 3639 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038392-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13840336
title: Supplementary Information - Chapter 2. Metabarcoding and genomic analysis of two insecticide-degrading bacteria in E. heros (Hemiptera: Pentatomidae) led to the identification of a new insect-associated Serratia species

description: The microbiota plays a diverse role in their hosts life. Insect-associated microbes can play a role in host nutrition, immunity, stress response, and xenobiotic metabolization, including synthetic pesticides. Gut associated insecticide-degrading bacteria are also selected by the selection pressure of intensive insecticide exposure as their hosts. For this reason, this study aimed at investigating the influence of the evolution of E. heros resistance to the neonicotinoid thiamethoxam and the pyrethroid lambda-cyhalothrin on the diversity of the gut microbiota, as well as to identify and characterize insecticide-degrading bacteria using comparative genomics strategies. We compared the gut microbiota composition of lab-maintained susceptible and insecticide-resistant strains and of field-collected adults of E. heros. The diversity of the gut microbiota was assessed using metabarcoding analysis of the V3-V4 regions of the 16S ribosomal gene (16S rRNA). The gut microbiota analysis of Euschistus heros revealed a predominance of Pseudomonadota - Gammaproteobacteria, which plays a key role in the insect gut environment. The Enterobacteriaceae Yokenella and Serratia, and the Erwiniaceae Pantoea and Erwinia were the most represented in the gut microbiota of E. heros. The gut microbial diversity of laboratory reared strains was higher than that of field-collected adults. The abundance of Serratia, Siccibacter, and Pantoea was enriched in the pyrethroid-resistant strains (RESPYR), and Serratia and Siccibacter were identified as potential biomarkers for pyrethroid-resistance. Two insecticide-degrading bacteria were isolated from the gut of E. heros and identified as Delftia acidovorans and Serratia toxivorans n. sp. using genomic comparative analyses. Our data emphasizes the importance of microbiota in metabolizing toxic compounds, and that the associated microbiota as well as the host are under selection pressure.
DOI: 10.5281/zenodo.13840337
title: Supplementary Information - Chapter 2. Metabarcoding and genomic analysis of two insecticide-degrading bacteria in E. heros (Hemiptera: Pentatomidae) led to the identification of a new insect-associated Serratia species

description: The microbiota plays a diverse role in their hosts life, contributing to various adaptation and defense processes, such as the degradation of pesticides. It is now also known that the associated microbiota suffers the same selection pressure as the host. For this reason, this study aimed to investigate the influence of the evolution of E. heros resistance to thiamethoxam and lambda-cyhalothrin on the diversity of the gut microbiota, as well as to identify and characterize insecticide-degrading bacteria using comparative genomics strategies.  We compared the gut microbiota composition of the gut of susceptible and insecticide-resistant strains of E. heros, as well as the gut microbiota from E. heros field-collected adults. The experiments were conducted through metagenomic analysis of the V4 regions of the 16S ribosomal gene (16S rRNA). The gut microbiota analysis of E. heros revealed a strong predominance of the phylum Pseudomonadota, specifically the class Gammaproteobacteria, which plays a key role in the insect gut environment. The most abundant genera were from the Enterobacteriaceae and Erwiniaceae families, including Pantoea, Yokenella, Erwinia and Serratia. A higher microbial diversity was found in laboratory strains compared to field populations, a surprising result. Pyrethroid-resistant strains (RESPYR) showed a greater abundance of Serratia, Siccibacter and Pantoea, and the Serratia and Siccibacter was also identified as potential biomarkers for pyrethroid-resistant strains. Through comparative genomic analyses, two insecticide-degrading bacteria was identified in E. heros, a new specie: Serratia toxivorans n. sp., and Delftia acidovorans. Our results emphasize the importance of the microbiota in metabolizing toxic compounds, and that the associated microbiota as well as the host are under selection pressure.
DOI: 10.5281/zenodo.13881427
title: Supplementary Information - Chapter 2. Metabarcoding and genomic analysis of two insecticide-degrading bacteria in E. heros (Hemiptera: Pentatomidae) led to the identification of a new insect-associated Serratia species

description: The microbiota plays a diverse role in their hosts life. Insect-associated microbes can play a role in host nutrition, immunity, stress response, and xenobiotic metabolization, including synthetic pesticides. Gut associated insecticide-degrading bacteria are also selected by the selection pressure of intensive insecticide exposure as their hosts. For this reason, this study aimed at investigating the influence of the evolution of E. heros resistance to the neonicotinoid thiamethoxam and the pyrethroid lambda-cyhalothrin on the diversity of the gut microbiota, as well as to identify and characterize insecticide-degrading bacteria using comparative genomics strategies. We compared the gut microbiota composition of lab-maintained susceptible and insecticide-resistant strains and of field-collected adults of E. heros. The diversity of the gut microbiota was assessed using metabarcoding analysis of the V3-V4 regions of the 16S ribosomal gene (16S rRNA). The gut microbiota analysis of Euschistus heros revealed a predominance of Pseudomonadota - Gammaproteobacteria, which plays a key role in the insect gut environment. The Enterobacteriaceae Yokenella and Serratia, and the Erwiniaceae Pantoea and Erwinia were the most represented in the gut microbiota of E. heros. The gut microbial diversity of laboratory reared strains was higher than that of field-collected adults. The abundance of Serratia, Siccibacter, and Pantoea was enriched in the pyrethroid-resistant strains (RESPYR), and Serratia and Siccibacter were identified as potential biomarkers for pyrethroid-resistance. Two insecticide-degrading bacteria were isolated from the gut of E. heros and identified as Delftia acidovorans and Serratia toxivorans n. sp. using genomic comparative analyses. Our data emphasizes the importance of microbiota in metabolizing toxic compounds, and that the associated microbiota as well as the host are under selection pressure.
DOI: 10.5281/zenodo.13882972
title: Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation - Data and Samples
DOI: 10.5281/zenodo.13882973
title: Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation - Data and Samples
DOI: 10.15468/dl.dzfrgx
title: Occurrence Download

description: A dataset containing 279 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zoraptera"
 ]
}

 The dataset includes 279 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038393-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13882997
title: SUSHI🍣: A Dataset of Synthetic Unichannel Signals Based on Heuristic Implementation (Tiny)

description: Overview


This dataset consists of pairs of time series signal data and corresponding natural language texts that describe the characteristics of these time series patterns. It has been designed with the objective of creating and evaluating a foundational model that facilitates natural language processing tasks, such as query-by-text retrieval for time series signals and captioning for these signals. All time series signals included in this dataset have been artificially generated from predefined combinations of multiple classes of functions. In addition, the paired natural language texts are primarily based on texts randomly selected from a pre-registered list corresponding to the functions, which have been manually refined through visual inspection.



Specification


We have two versions. This page provides "Tiny" under the Creative Commons Attribution 4.0 International license.




Spec
Tiny
Base




Samples
1.4K
140K


Time length
2048 points
2048 points


Format
CSV, NPY, PNG
CSV, NPY, PNG




In addition, when “SUSHI” is referred to without the word “Tiny” in a paper or other document, it shall be taken to mean “Base”.

Detailed Information

The detailed infromation is availtable in the following documents:



Arxiv preprint: Yohei Kawaguchi, Kota Dohi, and Aoi Ito, "SUSHI: A Dataset of Synthetic Unichannel Signals Based on Heuristic Implementation," in arXiv e-prints: zzzzzzz, 2024. http://,,,,

Githut repository: https://github.com/y-kawagu/SUSHI/ 


Citation

If you use this dataset, please cite the following paper:



Yohei Kawaguchi, Kota Dohi, and Aoi Ito, "SUSHI: A Dataset of Synthetic Unichannel Signals Based on Heuristic Implementation," in arXiv e-prints: zzzzzzz, 2024. [URL]
DOI: 10.5281/zenodo.13882998
title: SUSHI🍣: A Dataset of Synthetic Unichannel Signals Based on Heuristic Implementation (Tiny)

description: Overview


This dataset consists of pairs of time series signal data and corresponding natural language texts that describe the characteristics of these time series patterns. It has been designed with the objective of creating and evaluating a foundational model that facilitates natural language processing tasks, such as query-by-text retrieval for time series signals and captioning for these signals. All time series signals included in this dataset have been artificially generated from predefined combinations of multiple classes of functions. In addition, the paired natural language texts are primarily based on texts randomly selected from a pre-registered list corresponding to the functions, which have been manually refined through visual inspection.



Specification


We have two versions. This page provides "Tiny" under the Creative Commons Attribution 4.0 International license.




Spec
Tiny
Base




Samples
1.4K
140K


Time length
2048 points
2048 points


Format
CSV, NPY, PNG
CSV, NPY, PNG




In addition, when “SUSHI” is referred to without the word “Tiny” in a paper or other document, it shall be taken to mean “Base”.

Detailed Information

The detailed infromation is availtable in the following documents:



Arxiv preprint: Yohei Kawaguchi, Kota Dohi, and Aoi Ito, "SUSHI: A Dataset of Synthetic Unichannel Signals Based on Heuristic Implementation," in arXiv e-prints: zzzzzzz, 2024. http://,,,,

Githut repository: https://github.com/y-kawagu/SUSHI/ 


Citation

If you use this dataset, please cite the following paper:



Yohei Kawaguchi, Kota Dohi, and Aoi Ito, "SUSHI: A Dataset of Synthetic Unichannel Signals Based on Heuristic Implementation," in arXiv e-prints: zzzzzzz, 2024. [URL]
DOI: 10.15468/dl.szznbw
title: Occurrence Download

description: A dataset containing 1465 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyrtaspis scutata (Charpentier, 1825)"
 ]
}

 The dataset includes 1465 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038394-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bh8uv5
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psychoronia brooksi Ruiter, 1999"
 ]
}

 The dataset includes 22 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038395-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13883086
title: Climate, inter-serotype competition and arboviral interactions shape Dengue dynamics in Thailand
DOI: 10.5281/zenodo.13883087
title: Climate, inter-serotype competition and arboviral interactions shape Dengue dynamics in Thailand
DOI: 10.15468/dl.wjucy7
title: Occurrence Download

description: A dataset listing the 4026509 species recorded in GBIF matching the query:
{
 "OccurrenceStatus" : [
 "is Present"
 ]
}

 The dataset's 4026509 records were derived from 76645 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038391-240906103802322/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.27156021.v1
title: mgCST-classifier-v2

description: zip file of the mgCST-classifier-v2 (application and script)
DOI: 10.15468/dl.bw36mr
title: Occurrence Download

description: A dataset containing 9640 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is f5db868f-e5bf-4208-bd9d-d4063ae1c825",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 9640 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038396-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13020/pp73-qj83
title: 10.5 T CRT-MRSI metabolic, spectral and quality maps

description: Magnetic resonance spectroscopy data measured from a brain of a healthy volunteer at 10. 5 tesla. 

These data show the metabolic maps, CRLB maps and LCModel fits, input data and fitted baseline in nifti-format. 

The volunteer was measured three different resolutions (4.40 mm³ isotropic, 3.44 mm³ isotropic, and 2.75 mm³ isotropic) using a concentric ring trajectory (CRT) FID-based sequence, reconstructed using a discrete Fourier transform, and fitted with LCModel (for more details, see below). The metabolic maps are in auxilliary units (a.u.) and are not in physical units. 

All these files can be viewed with freeview of freesurfer 7.1.1.

It is being released to allow researchers to fully appreciate these 3D datasets, which are hard to otherwise visualize.
description: The uploaded metabolic maps contain the following metabolites (or sums thereof): aspartate, creatine + phosphocreatine, glucose, glutamate, glycerophosphocholine, glutathione, macromolecules, N-acetylaspartylglutamic acid, phosphocholine, scyllo-inositol, areatine, gamma aminobutyric acid, glutamine, glutamate + glutamine, glycerophosphocholine + phosphocholine, myo-inositol, N-acetylaspartate, N-acetylaspartate + N-acetylaspartylglutamic acid, phosphocreatine, and taurine. The spectral maps contain the LCModel input spectra, fits and baseline fits as a time course (the x-axis is in fact chemical shift in ppm).

Additional info is provided by the maps "0_pha_map.nii.gz", "1_pha_map.nii.gz", "SNR_map.nii.gz", "FWHM_map.nii.gz", "shift_map.nii.gz", "SNR_PseudoReplica_spectral_map.nii", "SNR_PseudoReplica_time_map.nii.gz", "FWHM_NAA_map.nii.gz", which are the zero- and first-order phase, SNR, FWHM, and spectral shifts as fitted by LCModel. The last three of these maps are the SNR in spectral and time domain, and the FWHM of NAA calculated by our own scripts.