cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.hfz9dd
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyrtandra chlamydocalyx Schltr."
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016352-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13859837
title: UMA-Offices

description: The UMA-Offices dataset was collected in our facilities at the University of Málaga. It consist of 25 scenarios captured through an RGB-D sensor mounted on a robot. More info here: https://mapir.isa.uma.es/mapirwebsite/?p=2407

If you use the dataset, please cite it as:



@INPROCEEDINGS{Ruiz-Sarmiento-KBS-2015,
             author = {Ruiz-Sarmiento, J. R. and Galindo, Cipriano and Gonz{\'{a}}lez-Jim{\'{e}}nez, Javier},
              title = {Exploiting Semantic Knowledge for Robot Object Recognition},
            journal = {Knowledge-Based Systems},
             volume = {86},
               year = {2015},
                doi = {doi:10.1016/j.knosys.2015.05.032},
              pages = {131--142},
      }
      
       @inproceedings{fernandez2013fast,
             title = {Fast place recognition with plane-based maps},
            author = {Fern{\'a}ndez-Moral, Eduardo and Mayol-Cuevas, W and Ar{\'e}valo, Vicente and Gonz{\'a}lez-Jim{\'e}nez, J},
         booktitle = {Robotics and Automation (ICRA), 2013 IEEE International Conference on},
             pages = {2719--2724},
              year = {2013},
      organization = {IEEE}
DOI: 10.5281/zenodo.13859836
title: UMA-Offices

description: The UMA-Offices dataset was collected in our facilities at the University of Málaga. It consist of 25 scenarios captured through an RGB-D sensor mounted on a robot. More info here: https://mapir.isa.uma.es/mapirwebsite/?p=2407

If you use the dataset, please cite it as:



@INPROCEEDINGS{Ruiz-Sarmiento-KBS-2015,
             author = {Ruiz-Sarmiento, J. R. and Galindo, Cipriano and Gonz{\'{a}}lez-Jim{\'{e}}nez, Javier},
              title = {Exploiting Semantic Knowledge for Robot Object Recognition},
            journal = {Knowledge-Based Systems},
             volume = {86},
               year = {2015},
                doi = {doi:10.1016/j.knosys.2015.05.032},
              pages = {131--142},
      }
      
       @inproceedings{fernandez2013fast,
             title = {Fast place recognition with plane-based maps},
            author = {Fern{\'a}ndez-Moral, Eduardo and Mayol-Cuevas, W and Ar{\'e}valo, Vicente and Gonz{\'a}lez-Jim{\'e}nez, J},
         booktitle = {Robotics and Automation (ICRA), 2013 IEEE International Conference on},
             pages = {2719--2724},
              year = {2013},
      organization = {IEEE}
DOI: 10.15468/dl.p95ahp
title: Occurrence Download

description: A dataset containing 424320 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Turdus iliacus Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018"
 ]
}

 The dataset includes 424320 records from 797 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035235-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.43p8kv
title: Occurrence Download

description: A dataset containing 48800 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-72.01993 -13.55495, -71.85344 -13.55495, -71.85344 -13.49772, -72.01993 -13.49772, -72.01993 -13.55495))",
 "Year is greater than or equal to 2010",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 48800 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035240-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzd4mt
title: Occurrence Download

description: A dataset containing 476 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is BIOWIDE eDNA Fungi dataset",
 "EventId is biowide-sv088"
 ]
}

 The dataset includes 476 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035241-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.me656q
title: Occurrence Download

description: A dataset containing 6214 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paraserianthes I.C.Nielsen"
 ]
}

 The dataset includes 6214 records from 207 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035242-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bf5hte
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Proyecto peces Río Bita (Puerto Carreño- Vichada) de la Fundación Orinoquía"
 ]
}

 The dataset's 4 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035234-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umxsjz
title: Occurrence Download

description: A dataset containing 15762 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sylvia nisoria (Bechstein, 1792)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018"
 ]
}

 The dataset includes 15762 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035243-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4aswvc
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "TaxonKey is Eucalyptus grandis W.Hill ex Maiden"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035244-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13830281
title: Digital Maturity Scale for Public Administration - scale validation dataset

description: Dataset contains data collected during a pilot stage of a survey which was used to validate to scale for measuring the digital maturity in paublic administration.
DOI: 10.5281/zenodo.13830282
title: Digital Maturity Scale for Public Administration - scale validation dataset

description: Dataset contains data collected during a pilot stage of a survey which was used to validate to scale for measuring the digital maturity in paublic administration.
DOI: 10.6084/m9.figshare.26860954
title: Inter-individual and inter-site neural code conversion

description: Data for Wang et al. "Inter-individual and inter-site neural code conversion without shared stimuli" (arxiv)Code: https://github.com/KamitaniLab/InterSiteNeuralCodeConversionVersion history:Version 7 (2024-09-30): Update on decoded features (remove unnecessary files).Version 6 (2024-09-04): Initial release.Version 1-5 (2024-09-03/04): Temporary release due to repository capacity limitations.<br>
DOI: 10.6084/m9.figshare.26860954.v6
title: Inter-individual and inter-site neural code conversion

description: Data for Wang et al. "Inter-individual and inter-site neural code conversion without shared stimuli" (arxiv)Code: https://github.com/KamitaniLab/InterSiteNeuralCodeConversionVersion history:Version 6 (2024-09-04): Initial release.Version 1-5 (2024-09-03/04): Temporary release due to repository capacity limitations.<br>
DOI: 10.15468/dl.pr39mp
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "TaxonKey is Eucalyptus grandis W.Hill ex Maiden"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035245-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hz4c9c
title: Occurrence Download

description: A dataset listing the 17 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paraserianthes I.C.Nielsen"
 ]
}

 The dataset's 17 records were derived from 207 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035239-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.677jhr
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corydalis gracilis Franch."
 ]
}

 The dataset includes 19 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035246-240906103802322/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.27134172.v2
title: Genome-Wide Identification and Characterization of the Carbonic Anhydrase Gene Family Reveals Carbonate Alkalinity Adaptability in Chinese Mitten Crab (<i>Eriocheir sinensis</i>)

description: Carbonic anhydrase (CA) is an essential zinc metalloenzyme that plays a crucial role in the physiological process of acid-base regulation in aquatic species. The <i>CA</i> gene family has been characterized in multiple species, but a comprehensive analysis of the <i>CA</i> gene family in <i>Eriocheir sinensis</i> is yet to be conducted. In this study, we identified members of the <i>CA</i> gene family from the <i>E. sinensis</i> genome and analyzed their genomic physical distribution, structural characteristics, expression patterns, and cellular localization. The results revealed a total of 15 <i>CA</i> genes in <i>E. sinensis</i>, distributed across 12 chromosomes, with tandem duplication observed on chr43. Phylogenetic analysis indicated that the 39 <i>CA</i> genes from <i>E. sinensis</i>, <i>Procambarus clarkii</i>, and <i>Portunus trituberculatus</i> can be classified into 4 clades and 11 subclades, with events of gene duplication and loss observed. Transcriptome expression analysis suggested that the <i>EsiCA7</i> gene might play a dominant role in the acid-base regulation of <i>E. sinensis</i>. Furthermore, subcellular localization experiments for the <i>EsiCA1</i> and <i>EsiCA7</i> genes confirmed the predictions made by bioinformatics analysis. In conclusion, this study provides a theoretical basis and molecular targets for further research on the function of the<i> CA</i> gene family and the mechanism of alkalinity tolerance in <i>E. sinensis</i>.
DOI: 10.1184/r1/19248827
title: Utah array recordings from visual cortical area V4 and prefrontal cortex with simultaneous EEG

description: These data, or subsets of it, were used in Johnston et al. (2022, eNeuro) and Johnston et al. (2021, Cereb. Cortex)
DOI: 10.25386/genetics.24498637.v1
title: Supplemental Material for Reiser et al., 2023

description: 1.MF_UNK_20230808.txt
All protein coding genes from the Araport11 genome release listed by AGI locus identifier that are either annotated to unknown GO molecular function or have no molecular function annotation at all
<br>
<br>
2.BP_UNK_20230808.txt
All protein coding genes from the Araport11 genome release listed by AGI locus identifier that are either annotated to unknown GO  biological process or have no biological process annotation at all
<br>
3.CC_UNK_20230808.txt
All protein coding genes from the Araport11 genome release listed by AGI locus identifier that are either annotated to unknown GO  cellular component or have no  cellular component annotation at all
<br>
<br>
4.MF_BP_CC_20230808.txt
<br>
All protein coding genes from the Araport11 genome release listed by AGI locus identifier that have ND or no annotations to GO molecular function, biological process and cellular component.
<br>
<br>
5.MF_BP_UNK_20230810.txt
<br>
All protein coding genes from the Araport11 genome release listed by AGI locus identifier that have ND or no annotations to GO molecular function and biological process.
<br>
6.AGIproteinNames_20230808.txt
All protein coding genes listed by AGI locus identifier from the Araport11 genome release
DOI: 10.1594/pangaea.925014
title: Visual stratigraphy of the EastGRIP ice core (14 m - 2021 m depth, drilling period 2017-2019)

description: A continuous high-resolution record of digital images in dark field illumination mode were taken from the East Greenland Ice Core Project (EastGRIP or EGRIP) ice core (Latitude: 75.630000 Longitude: -35.980000) in the depth interval from 14 m to 2121 m of depth. Stratigraphic layering in the monomineralic, and transparent polar ice is made visible in this optical setup by light scattering on second phase particles (e.g. particulate impurities such as dust, air bubbles, air clathrate hydrates) and interfaces in the polycrystal (e.g. grain boundaries, cracks and breaks). The layers are clearly visible throughout the Glacial period (&gt; ca. 1375 m) with the most prominent and frequent ones being associated with the coldest events, also called "cloudy bands" and "clear bands". The layering firstly and mainly is depositional bedding inherited from snow accumulation and thus is assumed to be horizontal originally by representing isochrones. With increasing depth bedding can become deformed by ice flow showing mesoscale deformation structures which give insight in the local kinematic situation in 3D. This deformation can become very intense all the way up to a potential full reorganisation in deepest depths including the loss of integrity of the stratigraphic sequence, also recorded in the Visual Stratigraphy LineScan Data sets (VisStratLS).
DOI: 10.26066/rds.22290
title: Daily different contribution of total flow from HI-SPHY model for baseline period

description: Average contribution of glacier melt, snow melt, and glacier and snow melt combined to total flow during and the average discharge at different stages in major stream. During 1998- 2007 from HI-SPHY model.
DOI: 10.5285/edf8febfdaad48abb2cbaf7d7e846a86
title: CRU TS4.00: Climatic Research Unit (CRU) Time-Series (TS) version 4.00 of high resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2015)

description: The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.00 data are month-by-month variations in climate over the period 1901-2015, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia.

The CRU TS4.00 variables are cloud cover, diurnal temperature range, frost day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2015.

The CRU TS4.00 data were produced using angular-distance weighting (ADW) interpolation. All version 3 releases used triangulation routines in IDL.  Please see the release notes for full details of this version update. CRU TS4.00 is a full release, differing only in methodology from the existing current release, v3.24.01. Both are released concurrently to support comparative evaluations between these two versions.

The CRU TS4.00 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation.

All CRU TS output files are actual values - NOT anomalies.
DOI: 10.6084/m9.figshare.24331090.v2
title: Underlying Data.xlsx

description: The aim of this study was to compare the diagnostic results of dentocraniofacial asymmetry in patients using two-dimensional and three-dimensional methods. This was an observational study with an analytic, cross-sectional approach. The researcher conducted a categorical comparative analytic hypothesis test to compare the proportion between dependent variables during data processing. The test results showed a p-value of &gt;0.05 in all parameters measured, indicating that there was no significant difference in the diagnosis between the two- and three-dimensional methods for all dentocraniofacial parameters measured.
DOI: 10.6084/m9.figshare.27078112
title: Supplementary Material for: Endometriosis and infertility: a bibliometric analysis of the 100 most cited articles from 2000 to 2023

description: Objectives: This study aimed to conduct a bibliometric analysis of research on endometriosis and infertility, focusing on the 100 most cited (TOP100) articles in the literature.
Design: Bibliometric Analysis
Participants/Materials, Setting, Methods: The SCOPUS database was searched using the terms “endometriosis” and “infertility.” The productivity and impact of research publications by authors, countries, and journals were assessed using the following indicators: total number of publications (TNP), total number of citations (TNC), JIF, and JCI. The bibliometric analysis was conducted from January 1, 2000, to December 31, 2023, using IBM SPSS™ for Windows and VOSviewer 1.6.20. VOSviewer was used to evaluate the TNC, total number of authors/co-authors, and collaboration network between countries of the TOP100 articles. VOSviewer was also used to create keyword co-occurrence networks.
Results: Of the TOP100 articles, 69 were literature review articles, with a mean of 448.97 + 513.5 citations (range: 191 to 2705). The TOP100 articles were published by 479 authors (mean 5.8 + 7.3 per study) from 40 countries in 39 high-impact journals. The keyword co-occurrence network revealed a grouping of four clusters, with terms related to pathophysiology, clinical management, assisted reproductive technology, and hormonal treatment of endometriosis.
Limitations: The main limitation of our study is the use of only one database and TNC as the main bibliometric indicator. Studies need at least 2 to 3 years after publication to accumulate sufficient citations for bibliometric indicators to be reliable. This means that large number of recent studies were not included in this bibliometric analysis.
Conclusions: This study revealed trends in endometriosis and infertility research, especially in the fields of immunology and genetics. It also highlights the importance of global collaboration to improve diagnostics, treatments and outcomes.
DOI: 10.6084/m9.figshare.27079549
title: Supplementary Material for: Demographic Trends, Coalterations, and Imatinib Resistance across Genomic Variants in Gastrointestinal Stromal Tumors: An AACR Project GENIE Analysis

description: Introduction: Gastrointestinal stromal tumors (GIST) are the most common mesenchymal neoplasm of the gastrointestinal tract, the treatment of which represents a significant breakthrough in targeted cancer therapy. Given its overall rare nature, analysis of genomic differences and clinical implications between demographic groups has not been previously completed, but American Association for Cancer Research (AACR) Project GENIE makes such an analysis possible. 
Methods: Anonymized demographic, clinical, and genomic data from 1,559 GIST patients was analyzed using cBioPortal and custom Python scripts, with no exclusions from the cohort. Data included patient demographics, genomic alterations, and co-occurrence information, and was classified according to clinical implications using the OncoKB database. Analysis involved Chi-squared tests for differences in genomic alterations across various demographic factors and mutual exclusivity analysis to identify co-mutation patterns.
Results: Male patients exhibited higher mutation rates at PDGFRA (14.56% vs 8.05%; p&lt;0.001), while female patients had higher rates at NF1 (7.46% vs 3.23%; p=0.001). Asian patients showed higher alteration rates at KIT (85.59%; p=0.002). Co-occurrence analysis revealed KIT alterations frequently co-occurred with CDKN2A (q&lt;0.001), MTAP (q=0.045), and PTEN (q=0.056), while showing mutual exclusivity with PDGFRA (q&lt;0.001), NF1 (q&lt;0.001), and BRAF (q=.015). CDKN2A alterations co-occurred with MTAP (q&lt;0.001) and PIK3CA (q=.015), while being mutually exclusive with TP53 (q=.002) and NF1 (q=.007). Trends were similar among patients who had received no prior medical treatment. Imatinib-resistant mutations were more common in male patients (25.6% vs 18.9%; p=.0056) and those under 55 (27.3% vs 20.9%; p=.0228). Among patients with imatinib-resistant mutations, 77.78% had sunitinib resistance, while 70.25% maintained sensitivity to ripretinib.
Conclusion: Sex and race/ethnic differences in genomic alterations, as well as co-mutations, were prevalent among patients with GIST. Variations in mutational profiles highlight the importance of distinct genetic drivers that may be targeted to treat different patient populations.
DOI: 10.17871/forestagebgi.2021
title: The MPI-BGC 1km global forest age datasets