cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17188/1750031
title: Materials Data on Na2(TaSe2)3 by Materials Project

description: Na2(TaSe2)3 crystallizes in the trigonal R32 space group. The structure is three-dimensional. Na1+ is bonded in a 6-coordinate geometry to six Se2- atoms. There are three shorter (2.97 Å) and three longer (2.98 Å) Na–Se bond lengths. There are three inequivalent Ta+3.33+ sites. In the first Ta+3.33+ site, Ta+3.33+ is bonded to six equivalent Se2- atoms to form distorted edge-sharing TaSe6 pentagonal pyramids. There are three shorter (2.61 Å) and three longer (2.63 Å) Ta–Se bond lengths. In the second Ta+3.33+ site, Ta+3.33+ is bonded to six equivalent Se2- atoms to form distorted edge-sharing TaSe6 pentagonal pyramids. All Ta–Se bond lengths are 2.63 Å. In the third Ta+3.33+ site, Ta+3.33+ is bonded to six equivalent Se2- atoms to form distorted edge-sharing TaSe6 pentagonal pyramids. There are four shorter (2.62 Å) and two longer (2.63 Å) Ta–Se bond lengths. There are two inequivalent Se2- sites. In the first Se2- site, Se2- is bonded to two equivalent Na1+ and three equivalent Ta+3.33+ atoms to form a mixture of distorted corner, edge, and face-sharing SeNa2Ta3 square pyramids. In the second Se2- site, Se2- is bonded to two equivalent Na1+ and three Ta+3.33+ atoms to form a mixture of distorted corner, edge, and face-sharing SeNa2Ta3 trigonal bipyramids.
DOI: 10.17188/1750032
title: Materials Data on GdTiNbBi2O9 by Materials Project

description: GdTiNbBi2O9 is Esseneite-derived structured and crystallizes in the monoclinic P2_1 space group. The structure is three-dimensional. Gd3+ is bonded in a 8-coordinate geometry to eight O2- atoms. There are a spread of Gd–O bond distances ranging from 2.31–2.56 Å. Ti4+ is bonded to six O2- atoms to form distorted TiO6 octahedra that share corners with five equivalent NbO6 octahedra. The corner-sharing octahedra tilt angles range from 28–38°. There are a spread of Ti–O bond distances ranging from 1.81–2.21 Å. Nb5+ is bonded to six O2- atoms to form distorted NbO6 octahedra that share corners with five equivalent TiO6 octahedra. The corner-sharing octahedra tilt angles range from 28–38°. There are a spread of Nb–O bond distances ranging from 1.89–2.19 Å. There are two inequivalent Bi3+ sites. In the first Bi3+ site, Bi3+ is bonded in a 6-coordinate geometry to six O2- atoms. There are a spread of Bi–O bond distances ranging from 2.22–2.64 Å. In the second Bi3+ site, Bi3+ is bonded in a 6-coordinate geometry to six O2- atoms. There are a spread of Bi–O bond distances ranging from 2.21–2.64 Å. There are nine inequivalent O2- sites. In the first O2- site, O2- is bonded to four Bi3+ atoms to form a mixture of corner and edge-sharing OBi4 tetrahedra. In the second O2- site, O2- is bonded to four Bi3+ atoms to form a mixture of corner and edge-sharing OBi4 tetrahedra. In the third O2- site, O2- is bonded to two equivalent Gd3+, one Ti4+, and one Nb5+ atom to form distorted corner-sharing OGd2TiNb tetrahedra. In the fourth O2- site, O2- is bonded in a 2-coordinate geometry to one Gd3+, one Ti4+, and one Nb5+ atom. In the fifth O2- site, O2- is bonded in a 2-coordinate geometry to one Gd3+, one Ti4+, and one Nb5+ atom. In the sixth O2- site, O2- is bonded in a distorted single-bond geometry to one Ti4+ and two Bi3+ atoms. In the seventh O2- site, O2- is bonded in a distorted single-bond geometry to one Nb5+ and two Bi3+ atoms. In the eighth O2- site, O2- is bonded in a 4-coordinate geometry to two equivalent Gd3+, one Ti4+, and one Nb5+ atom. In the ninth O2- site, O2- is bonded in a 4-coordinate geometry to two equivalent Gd3+, one Ti4+, and one Nb5+ atom.
DOI: 10.17188/1750033
title: Materials Data on KRbMnF6 by Materials Project

description: RbKMnF6 crystallizes in the cubic F-43m space group. The structure is three-dimensional. Rb1+ is bonded to twelve equivalent F1- atoms to form RbF12 cuboctahedra that share corners with twelve equivalent RbF12 cuboctahedra, faces with six equivalent KF12 cuboctahedra, and faces with four equivalent MnF6 octahedra. All Rb–F bond lengths are 3.03 Å. K1+ is bonded to twelve equivalent F1- atoms to form KF12 cuboctahedra that share corners with twelve equivalent KF12 cuboctahedra, faces with six equivalent RbF12 cuboctahedra, and faces with four equivalent MnF6 octahedra. All K–F bond lengths are 3.03 Å. Mn4+ is bonded to six equivalent F1- atoms to form MnF6 octahedra that share faces with four equivalent RbF12 cuboctahedra and faces with four equivalent KF12 cuboctahedra. All Mn–F bond lengths are 1.85 Å. F1- is bonded in a single-bond geometry to two equivalent Rb1+, two equivalent K1+, and one Mn4+ atom.
DOI: 10.15468/dl.cp34hk
title: Occurrence Download

description: A dataset containing 7942093 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, India Biodiversity Portal publication grade dataset, MICROBIS database, Indian_sediments, Pl@ntNet automatically identified occurrences, The System-wide Information Network for Genetic Resources (SINGER), BARO Herbarium, The M.S University of Baroda, A global database for the distributions of crop wild relatives, Observation.org, Nature data from around the World)",
 "Geometry POLYGON((71.80576 12.83527,78.15438 14.7844,79.4889 21.74791,72.1399 21.68992,71.80576 12.83527))"
 ]
}

 The dataset includes 7942093 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0205072-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g8npzx
title: Occurrence Download

description: A dataset containing 14060 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "TaxonKey is Woodsia ilvensis (L.) R.Br.",
 "Year 1970-2023"
 ]
}

 The dataset includes 14060 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080782-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-55117
title: Redemption tidings, vol. 36, nos. 1-52, 1 Jan. - 23 Dec. 1960

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.15468/dl.okgls2
title: Occurrence Download

description: A dataset containing 30945 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carduelis psaltria (Say, 1822)"
 ]
}

 The dataset includes 30945 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002514-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3egkv
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Herviella Baba, 1949"
 ]
}

 The dataset includes 74 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0324726-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-55175
title: Redemption tidings, vol. 36, nos. 1-52, 1 Jan. - 23 Dec. 1960

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.15468/dl.4qaaqd
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "TaxonKey is Salvinia ×molesta D.S.Mitch."
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0128029-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m0nqzx
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OrganismId is GBIFCH00443570",
 "InstitutionCode is NMLU"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002065-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eq98wk
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mionectes galbinus Bangs, 1902"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0379527-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-55167
title: Redemption tidings, vol. 36, nos. 1-52, 1 Jan. - 23 Dec. 1960

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.25549/pcra-c14-55221
title: Redemption tidings, vol. 36, nos. 1-52, 1 Jan. - 23 Dec. 1960

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.15468/dl.b5p1rv
title: Occurrence Download

description: A dataset containing 4628899 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Bromus inermis Leyss., Butomus umbellatus L., Bythotrephes longimanus Leydig, 1860, Celastrus orbiculatus C.P.Thunberg ex A.Murray, Clematis vitalba L., Cronartium ribicola J.C.Fisch., Cryptococcus fagisuga Lindinger, 1936, Cygnus olor (J.F.Gmelin, 1789), Cynoglossum officinale L., Dendrobaena octaedra (Savigny, 1826), Diprion similis (Hartig, 1834), Dreissena bugensis (Andrusov, 1897), Elaeagnus umbellata C.P.Thunb. ex A.Murray, Eriocheir sinensis H.Milne Edwards, 1853, Euphorbia esula L., Frangula alnus Mill., Gilpinia hercyniae (Hartig, 1837), Globodera pallida Stone, 1973, Gracilaria vermiculophylla (Ohmi) Papenfuss, Hydrocharis morsus-ranae L., Iris pseudacorus L., Lepidium draba L., Lilioceris lilii (Scopoli, 1763), Linaria vulgaris Mill., Littorina littorea (Linnaeus, 1758), Lumbricus rubellus Hoffmeister, 1843, Lymantria dispar Linnaeus, 1758, Lythrum salicaria L., Myriophyllum spicatum L., Myrmica rubra (Linnaeus, 1758), Mytilus galloprovincialis Lamarck, 1819, Neodiprion sertifer (Geoffroy, 1785))"
 ]
}

 The dataset includes 4628899 records from 2797 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002519-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.5895068
title: HOSPI-Tools Dataset - DSLR

description: We are working to develop a comprehensive dataset of surgical tools based on specialities, with a hierarchical structure – speciality, pack, set and tool. We belive that this dataset can be useful for computer vision and deep learning research into surgical tool tracking, management and surgical training and audit. We have therefore created an initial dataset of surgical tool (instrument and implant) images, captured using under different lighting conditions and with different backgrounds. We captured RGB images of surgical tools using a DSLR camera and webcam on site in a major hospital under realistic conditions and with the surgical tools currently in use. Image backgrounds in our initial dataset were essentially flat colours, even though different colour backgrounds were used. As we further developed our dataset, we will try to include much greater occlusions, illumination changes, and the presence of blood, tissue and smoke in the images which would be more reflective of crowded, messy, real-world conditions. Illumination sources included natural light – direct sunlight and shaded light – LED, halogen and fluorescent lighting, and this accurately reflected the illumination working conditions within the hospital. Distances of the surgical tools to the camera to the object ranged from 60 to 150 cms., and the average class size was 74 images. Images captured included individual object images as well as cluttered, clustered and occluded objects. Our initial focus was on Orthopaedics and General Surgery, two out of the 14 surgical specialities. We selected these specialities since general surgery instruments are the most commonly used tools across all surgeries and provide instrument volume, while orthopaedics provides variety and complexity given the wide range of procedures, instruments and implants used in orthopaedic surgery. We will add other specialities as we develop this dataset, to reflect the complexities inherent in each of the surgical specialities. This dataset was designed to offer a large variety of tools, arranged hierarchically to reflect how surgical tools are organised in real-world conditions. <br> If you do find our dataset useful, please cite our papers in your work: Rodrigues, M., Mayo, M, and Patros, P. (2022). OctopusNet: Machine Learning for Intelligent Management of Surgical Tools. Published in “Smart Health”, Volume 23, 2022. https://doi.org/10.1016/j.smhl.2021.100244 Rodrigues, M., Mayo, M, and Patros, P. (2021). Evaluation of Deep Learning Techniques on a Novel Hierarchical Surgical Tool Dataset. Accepted paper at The 2021 Australasian Joint Conference on Artificial Intelligence. 2021. To be Published in Lecture Notes in Computer Science series. Rodrigues, M., Mayo, M, and Patros, P. (2021). Interpretable deep learning for surgical tool management. In M. Reyes, P. Henriques Abreu, J. Cardoso, M. Hajij, G. Zamzmi, P. Rahul, and L. Thakur (Eds.), Proc 4th International Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC 2021) LNCS 12929 (pp. 3-12). Cham: Springer.
DOI: 10.17894/ucph.12092ac6-80c4-4c8c-9572-208981c0c5e2
title: Assessing flower-visiting arthropod diversity in apple orchards through flower metabarcoding and visual census

description: This file contains a summary of all the supplemental material contained in supplemental_information folder. 1. Supp1- Supplemental Tables S1 to S13 2. Supp2- Supplemental 2- Figures S1 to S2 3. rawdata.tgz- Raw sequence files from AllGenetics 4. cutadapt_OBItools.zip: Cutadapt trimmed files for OBITool 5. My_code_pollinators.bash: Bioinformatic script used to generate metabarcoding data contained in Supp1 6. paper_Rscript- R scripts used to generate metabarcoding and visual census data (Rmd) contained in Supp1 and Supp2 7. paper_Rscript- R scripts used to generate metabarcoding and visual census data (html) contained in Supp1 and Supp2 8. paper_Rscript.zip- .csv files used for stats test on R-studio
DOI: 10.6084/m9.figshare.3761562.v2115
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.18944816
title: Reasons for the use of artificial intelligence in the brazilian judiciary

description: Number of times certain specific reasons were cited by court IT teams to implement such technologies in the management and procedural flow. Referring year 2020<br>
DOI: 10.6084/m9.figshare.18944816.v1
title: Reasons for the use of artificial intelligence in the brazilian judiciary

description: Number of times certain specific reasons were cited by court IT teams to implement such technologies in the management and procedural flow. Referring year 2020<br>
DOI: 10.6084/m9.figshare.18945695
title: AI projects by court

description: Number of artificial intelligence projects per court, as well as description of court size (small, medium or large). Year: 2020.
DOI: 10.6084/m9.figshare.18945695.v1
title: AI projects by court

description: Number of artificial intelligence projects per court, as well as description of court size (small, medium or large). Year: 2020.
DOI: 10.6084/m9.figshare.18946040
title: IA projects by court sphere

description: Artificial intelligence projects according to each court level, which may be state, federal, superior, labor or electoral.Year: 2020.
DOI: 10.6084/m9.figshare.18946040.v1
title: IA projects by court sphere

description: Artificial intelligence projects according to each court level, which may be state, federal, superior, labor or electoral.Year: 2020.
DOI: 10.6084/m9.figshare.15179775
title: Dataset for Gut microbiota drives age-related oxidative stress and mitochondrial damage in microglia via the metabolite N(6)-Carboxymethyllysine

description: Microglial function declines during aging. The interaction of microglia with the gut microbiota has been well characterized during development and adulthood, but not in aging. Here, we compared microglial transcriptomes from young, adult, and aged mice housed under germ-free and specific-pathogen-free conditions and found that the microbiota influenced aging associated-changes in microglial gene expression. The absence of gut microbiota diminished oxidative stress and ameliorated mitochondrial dysfunction in microglia from aged brains. Unbiased metabolomic analyses of serum and brain tissue revealed the accumulation of N(6)-carboxymethyllysine (CML) in microglia of the aging brain. CML mediated a burst of reactive oxygen species (ROS) and impeded mitochondrial activity and ATP reservoirs in microglia. We validated the age-dependent rise in CML levels in sera and brains of human subjects. Finally, a microbiota-dependent increase in intestinal permeability in aged mice mediated the elevated levels of CML. This study adds insight into how specific features of microglia from aged mice are regulated by gut microbiota.
DOI: 10.6084/m9.figshare.18946250
title: Features that apply to AI

description: Number of tool features that apply the artificial intelligence of the designed applications.
DOI: 10.6084/m9.figshare.18946250.v1
title: Features that apply to AI

description: Number of tool features that apply the artificial intelligence of the designed applications.
DOI: 10.5281/zenodo.5895095
title: A One-Pot Synthesis of Disubstituted Thiazoles from Chalcone C−H Bonds, Elemental Sulfur, and Glycine Ethyl Ester

description: FID files and HRMS results
DOI: 10.5281/zenodo.5895094
title: A One-Pot Synthesis of Disubstituted Thiazoles from Chalcone C−H Bonds, Elemental Sulfur, and Glycine Ethyl Ester

description: FID files and HRMS results
DOI: 10.6084/m9.figshare.18946424
title: Software used in machine learning

description: number of projects that use certain management and procedural software, such as PJe, e-PROC, e-SAJ and others for machine learning.Year: 2020
DOI: 10.6084/m9.figshare.18946424.v1
title: Software used in machine learning

description: number of projects that use certain management and procedural software, such as PJe, e-PROC, e-SAJ and others for machine learning.Year: 2020
DOI: 10.17894/ucph.69df5045-a6a4-402d-a5b2-7d847bcd624a
title: MiRA_Dataset_ESR14
DOI: 10.34622/datarepositorium/h7oolg/fxtl5z
title: language_dominance.Rmd

description: Markdown
DOI: 10.34622/datarepositorium/h7oolg/bd8x4j
title: Statistics

description: Statistics
DOI: 10.34622/datarepositorium/h7oolg/whd66o
title: Participants_all_ever_dez2021_corr.tab

description: Data
DOI: 10.34622/datarepositorium/h7oolg/6oqigh
title: Consentimento_questionario.pdf

description: Questionnaire
DOI: 10.34622/datarepositorium/h7oolg/ck7q5f
title: dialang.pdf

description: Test
DOI: 10.6084/m9.figshare.18945248
title: Climate, land cover and topography: essential ingredients in predicting wetland permanence

description: We built models to compare the relative influence of climate, land cover/land use and topography on wetlands in the Prairie Pothole Region of Alberta. To represent these three drivers, we used 19 variables, which were selected based on a literature review; following, we excluded variables that had more than a 0.8 correlation. <br>Here, we prove: 1) the data we used for all three models and 2) our R code for parameter optimization and model building. We share the code using a Jupyter notebook, and the data are in he form of an csv file. In t the data, the column "Level" indicates whether the data was used in the training vs Test, and the column Region, indicates which of the three Natural Regions that data belong to.
DOI: 10.34740/kaggle/dsv/3083976
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.5281/zenodo.5794358
title: A critical review of 'just transition' publications using Google and Google Scholar

description: This dataset offers the list of sources included in our critical review of the term 'just transition' (in English), from 1990 to 2021 in the Global North and South Africa, using Google and Google Scholar as search engines. The publications retrieved include both peer-reviewed literature and publicly available reports and documents. Results (with full citations) are categorized by actor group and type, location, and year of publication.
DOI: 10.5281/zenodo.5794357
title: A critical review of 'just transition' publications using Google and Google Scholar

description: This dataset offers the list of sources included in our critical review of the term 'just transition' (in English), from 1990 to 2021 in the Global North and South Africa, using Google and Google Scholar as search engines. The publications retrieved include both peer-reviewed literature and publicly available reports and documents. Results (with full citations) are categorized by actor group and type, location, and year of publication.
DOI: 10.26182/dqe9-c042
title: Data set for "Subthreshold repetitive transcranial magnetic stimulation drives structural synaptic plasticity in the young and aged motor cortex"
DOI: 10.6084/m9.figshare.18953348
title: test

description: test
DOI: 10.6084/m9.figshare.18953348.v1
title: test

description: test
DOI: 10.6084/m9.figshare.12401168.v19
title: The Brain Hierarchy Score

description: Here we provide data used in Nonaka, Majima, Aoki, & Kamitani (2021) Brain hierarchy score: Which deep neural networks are hierarchically brain-like? <i>iScience</i>.<br><br>See also https://github.com/KamitaniLab/BHscore.<br><br>History:<br><br>2021-12-24 Add encoding accuracy data (encoding_accuracy.zip)<br><br>2020-08-08 Add DNN unit activation data (features-*.zip)<br><br>2020-08-03 Update directory organization in decoding_accuracy.zip<br>
DOI: 10.34721/0cxt-v270
title: Data: Niche partitioning in a guild of invasive predators
DOI: 10.25493/kwxq-3y8
title: Structural and functional connectivity data of the ARCHI database in the AAL atlas

description: Structural connectivity matrices and resting-state functional data have been collected on the 78 subjects of the ARCHI database. Connectivity data have been mapped on the AAL atlas. The atlas is a version of the AAL atlas that has been projected onto the cortex (no deep nuclei in this release). Individual connectivity matrices have been built for diffusion-MR-based structural connectivity (connection strength resulting from fibers reconstructed using a tractography algorithm). Resting-state functional data have been reduced into this atlas. More precisely the dataset includes: * The surface-projected AAL parcellation atlas, as a texture (.gii), with nomenclatures as text files and regions surface areas (.csv). * Individual matrices of structural connectivity for all subjects of ARCHI. * Individual rsfMRI time series reduced on the surface-projected AAL. * Individual cortical meshes in .gii format. * An average mesh built for visualization purposes from half of the ARCHI subjects, as a mesh (.gii).