cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.a7nx5q
title: Occurrence Download

description: A dataset containing 14393 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dioscorea bulbifera L."
 ]
}

 The dataset includes 14393 records from 396 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006941-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25446/oxford.28358708.v1
title: CLDF dataset derived from von Rosenberg's "De Mentawei-Eilanden en Hunne Bewoners" from 1853 for comparative numeral data

description: Cross-Linguistic Data Format (CLDF) dataset derived from von Rosenberg's "De Mentawei-Eilanden en Hunne Bewoners" from 1853 for the comparative numeral data (p. 434). It is a work in progress and another practice session with CLDF to handle/test multiple languages.<b>NB</b>: In this first version (v1.0.0), the word forms are still in the original orthography and not yet segmented/tokenised. The next release attempts to include orthography standardisation and segmentation.
DOI: 10.15468/dl.hr9j8y
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 100600.0-1000000.0",
 "Geometry POLYGON((-128.58071 28.08746,-71.02444 28.08746,-71.02444 48.11704,-128.58071 48.11704,-128.58071 28.08746))",
 "TaxonKey is Bromus tectorum L."
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006943-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25446/oxford.23515788
title: CLDF dataset of the Enggano word list from 1895 in Stokhof and Almanar's (1987) Holle List

description: This is the repository for the digitised Enggano word list from 1895 (see and also cite Stokhof and Almanar 1987 as the source). This word list has been matched with the digitised Holle List (Rajeg 2023a; cf. Stokhof 1980), providing the English and Indonesian glosses for the Enggano forms. The data set (available under the <code>cldf</code> directory) conforms to the Wordlist module of the <i>Cross-Linguistic Data Format</i> (CLDF) (Forkel et al. 2018). Please cite this dataset as follows:Rajeg, Gede Primahadi Wijaya (2023). CLDF dataset of the Enggano word list from 1895 in Stokhof and Almanar's (1987) Holle List. University of Oxford. Dataset. https://doi.org/10.25446/oxford.23515788The current record captures major updates in the <b>latest version</b> (2.0.0) (see here for the detailed release notes).<b> For future updates</b>, please refer to the latest released version on GitHub.<i>The work in this repository is part of the</i> <i>AHRC-</i><i>funded</i><i> project</i> <i>on Lexical resources for Enggano, a threatened language of Indonesia </i><i>(visit the </i><i>central webpage of the Enggano research at</i> <i>https://enggano.ling-phil.ox.ac.uk/</i><i> and </i><i>the repository for the Enggano Lexical Resources</i><i> sub-project within </i><i>the main Enggano SDS platform</i><i>)</i>.
DOI: 10.25446/oxford.28121516
title: CLDF dataset derived from von Rosenberg's <b>“</b>De Mentawei-Eilanden en Hunne Bewoners<b>”</b> from 1853

description: Cross-Linguistic Data Format (CLDF) dataset derived from von Rosenberg's <b>“</b>De Mentawei-Eilanden en Hunne Bewoners<b>”</b> from 1853.Cite the source of the dataset as:Rosenberg, Carl Benjamin Hermann von. 1853. De Mentawei-Eilanden en Hunne Bewoners. <i>Tijdschrift voor Indische Taal-, Land- en Volkenkunde</i> 1. 403–440. Available online at https://www.digitale-sammlungen.de/en/view/bsb10433845?page=450,451Cite the CLDF dataset as:Rajeg, G. P. W. (2024). CLDF dataset derived from von Rosenberg's <b>“</b>De Mentawei-Eilanden en Hunne Bewoners<b>”</b> from 1853. University of Oxford. Dataset. https://doi.org/10.25446/oxford.28121516
DOI: 10.25446/oxford.28121516.v1
title: CLDF dataset derived from von Rosenberg's <b>“</b>De Mentawei-Eilanden en Hunne Bewoners<b>”</b> from 1853

description: Cross-Linguistic Data Format (CLDF) dataset derived from von Rosenberg's <b>“</b>De Mentawei-Eilanden en Hunne Bewoners<b>”</b> from 1853.Cite the source of the dataset as:Rosenberg, Carl Benjamin Hermann von. 1853. De Mentawei-Eilanden en Hunne Bewoners. <i>Tijdschrift voor Indische Taal-, Land- en Volkenkunde</i> 1. 403–440. Available online at https://www.digitale-sammlungen.de/en/view/bsb10433845?page=450,451Cite the CLDF dataset as:Rajeg, G. P. W. (2024). CLDF dataset derived from von Rosenberg's <b>“</b>De Mentawei-Eilanden en Hunne Bewoners<b>”</b> from 1853. University of Oxford. Dataset. https://doi.org/10.25446/oxford.28121516
DOI: 10.25446/oxford.28358708
title: CLDF dataset derived from von Rosenberg's "De Mentawei-Eilanden en Hunne Bewoners" from 1853 for comparative numeral data

description: The <i>Cross-Linguistic Data Format</i> (CLDF) dataset derived from von Rosenberg's "De Mentawei-Eilanden en Hunne Bewoners" from 1853 for the comparative numeral data (p. 434). It is a "sister" CLDF dataset for the main list for Mentawai (Rajeg 2024).Updates in version 2.0.0Segmented forms with orthography profile in general ( #1 ) (cf. the full transcription report here.)Segmented forms with orthography profile per doculect/language ( #5 )
DOI: 10.15468/dl.qkcp9j
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Xylocarpus granatum J.Koenig"
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006945-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v5y6ej
title: Occurrence Download

description: A dataset containing 538 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Telmatobius culeus (Garman, 1876)"
 ]
}

 The dataset includes 538 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006947-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nxkajz
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pharomachrus mocinno costaricensis Cabanis, 1869",
 "Year 2015-2025"
 ]
}

 The dataset's 1 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006944-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8xe5sk
title: Occurrence Download

description: A dataset containing 1009 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 9869.0-1000000.0",
 "TaxonKey is Linepithema humile (Mayr, 1868)"
 ]
}

 The dataset includes 1009 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006948-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m967v8
title: Occurrence Download

description: A dataset containing 538 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Telmatobius culeus (Garman, 1876)"
 ]
}

 The dataset includes 538 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006949-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2015807774
title: Cryo-electron microscopy EPN/Grenoble BAG

description: ESRF is privileged to host two state-of-the-art microscopes. Our BAG unites the majority of local labs that utilise cryo-EM to address their diverse structural biology questions, including researchers from the EPN campus (IBS, ESRF, ILL and EMBL) and its vicinity (Cell & Plant Physiology Laboratory LPCV, Grenoble Institut des Neurosciences - GIN, Institute for Advanced Biosciences - IAB).
In a nutshell, approximately 30 principal investigators would greatly benefit from Krios time, with 100 different samples proposed. The high demand for EM beamtime is partially met by two Glacios microscopes available on the campus, currently charged with the pre-screening, but also frequently yielding satisfactory structural insights. Nonetheless, the use of a Krios is indispensable for challenging samples (with heterogeneity or limited concentration requiring a large number of images, small proteins, etc.). Only such “difficult cases” will be selected for Krios time at the BAG level.
DOI: 10.15468/dl.fpkqya
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((55.88588 41.55764,56.00664 45.18047,58.9049 45.84466,61.92393 43.67096,65.54676 43.73135,66.75437 41.49727,68.74692 40.83308,72.249 42.70488,80.15884 42.58412,81.60798 45.60314,84.86852 47.47494,82.99673 49.89016,78.16629 50.6751,74.90574 53.75451,69.83377 55.14326,61.44088 54.17718,60.47479 51.21853,51.4781 51.64119,47.55336 50.13168,46.5269 48.5014,52.44418 42.04069,55.88588 41.55764))",
 "OccurrenceStatus is Present",
 "TaxonKey is Ellobius Fischer, 1814"
 ]
}

 The dataset includes 73 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006952-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ku7qdt
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Croton gibsonianus Nimmo"
 ]
}

 The dataset includes 36 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006951-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.czsu3j
title: Occurrence Download

description: A dataset containing 538 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Telmatobius culeus (Garman, 1876)"
 ]
}

 The dataset includes 538 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006953-250402121839773/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.28737260
title: Urology consultation survey responses.xlsx

description: The electronic survey was distributed among different urological forums such as the National College of Urology, the College of Urology of Puebla, and the Mexican Society of Urology, and promoted via WhatsApp link. It consisted of 30 questions about teleconsultation before and after the COVID-19 pandemic. Regarding the disadvantages, various areas were explored, including the physician's perspective on diagnostic challenges when using WhatsApp as consultation tool, patient safety and confidentiality concerns, and the impact on the physician's personal life due to providing their personal contact information to the patients. <br>
DOI: 10.6084/m9.figshare.28737260.v1
title: Urology consultation survey responses.xlsx

description: The electronic survey was distributed among different urological forums such as the National College of Urology, the College of Urology of Puebla, and the Mexican Society of Urology, and promoted via WhatsApp link. It consisted of 30 questions about teleconsultation before and after the COVID-19 pandemic. Regarding the disadvantages, various areas were explored, including the physician's perspective on diagnostic challenges when using WhatsApp as consultation tool, patient safety and confidentiality concerns, and the impact on the physician's personal life due to providing their personal contact information to the patients. <br>
DOI: 10.15468/dl.ys4dvw
title: Occurrence Download

description: A dataset containing 50787 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "TaxonKey is Bromus tectorum L."
 ]
}

 The dataset includes 50787 records from 469 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006946-250402121839773/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.26233196
title: eIF6 deficiency alleviates colorectal cancer through maintaining the intestinal barrier and homeostasis of gut microbiota

description: In this study, we demonstrate the mitigating effect of eIF6 deficiency on the progression of CRC in an AOM/DSS-induced mouse model, elucidating how eIF6 deficiency directly alleviates CRC progression through its impact on the gut microbiota. We observe that eIF6 deficiency promotes colonic epithelial regeneration, maintains intestinal barrier integrity, and suppresses tumor proliferation in CRC mice. The eIF6 deficiency-modulated gut microbiota directly contributes to alleviating CRC progression. Furthermore, eIF6 deficiency-dependent <i>Dubosiella newyorkensis</i> reduces monocyte aggregation, inhibits the MAPK and NF-κB carcinogenic pro-inflammatory pathways, thereby attenuating CRC progression. These findings confirm the pivotal role of the gut microbiota in mediating the alleviation of CRC progression of eIF6 deficiency.
DOI: 10.6084/m9.figshare.26233196.v5
title: eIF6 deficiency alleviates colorectal cancer through maintaining the intestinal barrier and homeostasis of gut microbiota

description: In this study, we demonstrate the mitigating effect of eIF6 deficiency on the progression of CRC in an AOM/DSS-induced mouse model, elucidating how eIF6 deficiency directly alleviates CRC progression through its impact on the gut microbiota. We observe that eIF6 deficiency promotes colonic epithelial regeneration, maintains intestinal barrier integrity, and suppresses tumor proliferation in CRC mice. The eIF6 deficiency-modulated gut microbiota directly contributes to alleviating CRC progression. Furthermore, eIF6 deficiency-dependent <i>Dubosiella newyorkensis</i> reduces monocyte aggregation, inhibits the MAPK and NF-κB carcinogenic pro-inflammatory pathways, thereby attenuating CRC progression. These findings confirm the pivotal role of the gut microbiota in mediating the alleviation of CRC progression of eIF6 deficiency.
DOI: 10.15468/dl.3ak9mq
title: Occurrence Download

description: A dataset containing 322 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((46.53498 38.77694,86.13367 38.77694,86.13367 55.04068,46.53498 55.04068,46.53498 38.77694))",
 "OccurrenceStatus is Present",
 "TaxonKey is Ellobius Fischer, 1814"
 ]
}

 The dataset includes 322 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006955-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6hhvg
title: Occurrence Download

description: A dataset containing 99883 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bursera simaruba (L.) Sarg."
 ]
}

 The dataset includes 99883 records from 352 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006954-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a8q964
title: Occurrence Download

description: A dataset containing 811 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cinclodes palliatus (Tschudi, 1844)"
 ]
}

 The dataset includes 811 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006958-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rktv4d
title: Occurrence Download

description: A dataset containing 1454 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Xylocarpus granatum J.Koenig"
 ]
}

 The dataset includes 1454 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006960-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15161891
title: Operational performance survey data for higher education institutions

description: This dataset contains the results of a survey of 191 leaders and academics of universities in Indonesia in developing regions (Banten province) regarding the influence of Knowledge sharing and structural capital on the operational performance of universities. In addition, the results of the lisrel test and research instruments are also attached.
DOI: 10.5281/zenodo.15161892
title: Operational performance survey data for higher education institutions

description: This dataset contains the results of a survey of 191 leaders and academics of universities in Indonesia in developing regions (Banten province) regarding the influence of Knowledge sharing and structural capital on the operational performance of universities. In addition, the results of the lisrel test and research instruments are also attached.
DOI: 10.5281/zenodo.14840425
title: 2D_profile: 2D external aero CFD RANS dataset, under geometrical variations

description: This entry contains a dataset of 2D external aero CFD RANS solutions, under geometrical variations. 

The files format is PLAID, see the plaid documentation.

The variablity in the samples is the geometry (mesh). Outputs of interest are 4 fields. Samples have been computed on large refined meshes, which have been cut close to the profil.  

The dataset has a training set of size 300 and a testing set of size 100. Outputs are not provided on the testing sets. 

 

Tips to access the data:

After decompressing the downloaded file:

from plaid.containers.dataset import Datasetfrom plaid.problem_definition import ProblemDefinition

dataset = Dataset()problem = ProblemDefinition()

problem._load_from_dir_(os.path.join(/path/to/data,'problem_definition'))dataset._load_from_dir_(os.path.join(/path/to/data,'dataset'), verbose = True)

print("problem =", problem)print("dataset =", dataset)

sample = dataset[0]print("sample =", sample)

for fn in sample.get_field_names():    print(f"{fn} =", sample.get_field(fn))for sn in sample.get_scalar_names():    print(f"{sn} =", sample.get_scalar(sn))

print("nodes =", sample.get_nodes())print("elements =", sample.get_elements())print("nodal_tags =", sample.get_nodal_tags())
DOI: 10.5281/zenodo.14840426
title: 2D_profile: 2D external aero CFD RANS datasets, under geometrical variations

description: This entry contains two dataset of 2D external aero CFD RANS solutions, under geometrical variations. 

The files format is PLAID, see the plaid documentation.

The variablity in the samples are 6 input scalars and the geometry (mesh). Outputs of interest are 4 fields. Samples have been computed on large refined meshes, which have been cut close to the profil, and adapted (remeshed) using an anisotropic metric based on the output fields of interest.  

The large dataset has a training set of size 299 and a testing set of size 100, while the small dataset has a training set of size 100 and a testing set of size 50. Outputs are not provided on the testing sets. 

 

Tips to access the data:

After decompressing the downloaded file:

from plaid.containers.dataset import Datasetfrom plaid.problem_definition import ProblemDefinition

dataset = Dataset()problem = ProblemDefinition()

problem._load_from_dir_(os.path.join(/path/to/data,'problem_definition'))dataset._load_from_dir_(os.path.join(/path/to/data,'dataset'), verbose = True)

print("problem =", problem)print("dataset =", dataset)

sample = dataset[0]print("sample =", sample)

for fn in sample.get_field_names():    print(f"{fn} =", sample.get_field(fn))for sn in sample.get_scalar_names():    print(f"{sn} =", sample.get_scalar(sn))

print("nodes =", sample.get_nodes())print("elements =", sample.get_elements())print("nodal_tags =", sample.get_nodal_tags())
DOI: 10.5281/zenodo.15155119
title: 2D_profile: 2D external aero CFD RANS dataset, under geometrical variations

description: This entry contains a dataset of 2D external aero CFD RANS solutions, under geometrical variations. 

The files format is PLAID, see the plaid documentation.

The variablity in the samples is the geometry (mesh). Outputs of interest are 4 fields. Samples have been computed on large refined meshes, which have been cut close to the profil.  

The dataset has a training set of size 300 and a testing set of size 100. Outputs are not provided on the testing sets. 

 

Tips to access the data:

After decompressing the downloaded file:

from plaid.containers.dataset import Datasetfrom plaid.problem_definition import ProblemDefinition

dataset = Dataset()problem = ProblemDefinition()

problem._load_from_dir_(os.path.join(/path/to/data,'problem_definition'))dataset._load_from_dir_(os.path.join(/path/to/data,'dataset'), verbose = True)

print("problem =", problem)print("dataset =", dataset)

sample = dataset[0]print("sample =", sample)

for fn in sample.get_field_names():    print(f"{fn} =", sample.get_field(fn))for sn in sample.get_scalar_names():    print(f"{sn} =", sample.get_scalar(sn))

print("nodes =", sample.get_nodes())print("elements =", sample.get_elements())print("nodal_tags =", sample.get_nodal_tags())
DOI: 10.15468/dl.b8pmbv
title: Occurrence Download

description: A dataset containing 109125818 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 109125818 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006957-250402121839773/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.28092101
title: <i>Genome assembly at the chromosome level of Clinopodium barosmum</i>

description: We performed the first genome assembly at the chromosome level and comparative genome analysis of <i>Clinopodium barosmum</i>. This work establishes a basic genomic resource for this medicinal plant.
DOI: 10.15468/dl.7kz92r
title: Occurrence Download

description: A dataset listing the 68990 species recorded in GBIF matching the query:
{
 "Country" : [
 "is Greece"
 ]
}

 The dataset's 68990 records were derived from 1698 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006961-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.