cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.z7xwcg
title: Occurrence Download

description: A dataset containing 29855 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Opuntia stricta (Haw.) Haw."
 ]
}

 The dataset includes 29855 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016502-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mjmgv7
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acipenser sinensis Gray, 1835"
 ]
}

 The dataset includes 34 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016503-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmud5b
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heleophryne rosei Hewitt, 1925"
 ]
}

 The dataset includes 101 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016504-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jr2ux3
title: Occurrence Download

description: A dataset containing 1324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Medicago sativa L."
 ]
}

 The dataset includes 1324 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019447-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fv8pqs
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Mississippi Entomological Museum, INSDC Host Organism Sequences, iNaturalist Research-grade Observations)",
 "OccurrenceStatus is Present",
 "TaxonKey is Oracella acuta (Lobdell, 1930)"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019448-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/nvj0-qe12
title: "Cyberbullying Data Set with IPC Act Annotations"

description: "The rapid growth of social media platforms has led to a significant rise in cyberbullying incidents, necessitating robust datasets for developing automated detection and legal classification systems. This dataset presents a comprehensive collection of cyberbullying-related textual data annotated with relevant provisions of the Indian Penal Code (IPC). The dataset includes user-generated content from online platforms, systematically labeled into cyberbullying and non-cyberbullying categories, along with corresponding IPC sections such as IPC 153A, IPC 505, IPC 354A, and IPC 509, enabling both behavioral and legal analysis of online abuse.Each data instance undergoes preprocessing to handle informal language, slang, abbreviations, and contextual variations commonly found in digital communication. The dataset is designed to support multi-class and multi-label classification, facilitating research in cyberbullying detection, legal offense prediction, and explainable AI-driven moderation systems. By integrating legal annotations, the dataset bridges the gap between technical cyberbullying detection and judicial interpretability, making it valuable for developing AI models that align with real-world legal frameworks.This dataset can be effectively used for benchmarking traditional machine learning, deep learning, and hybrid models, including transformer-based architectures. It also supports research in sentiment analysis, attention-based interpretability, and ethical AI for online safety. The dataset aims to advance interdisciplinary research at the intersection of artificial intelligence, cyber law, and social media analytics, contributing toward transparent and accountable cyberbullying detection systems."
DOI: 10.15468/mxdzp4
title: Description of the pupa, female and male genitalia of Aedes (Howardina) guerrero Berlin and first record of Ae. (How.) guatemala Berlin (Diptera: Culicidae) in Puebla, Mexico

description: This dataset contains the digitized treatments in Plazi based on the original journal article Rivera-García, Karina D., Mendez-Andrade, Alejandro, Díaz-Osorio, Alicia C., Ibáñez-Bernal, Sergio, Sandoval-Ruiz, César Antonio (2023): Description of the pupa, female and male genitalia of Aedes (Howardina) guerrero Berlin and first record of Ae. (How.) guatemala Berlin (Diptera: Culicidae) in Puebla, Mexico. Zootaxa 5360 (2): 279-295, DOI: 10.11646/zootaxa.5360.2.7, URL: https://www.mapress.com/zt/article/download/zootaxa.5360.2.7/52118AbstractThe pupa, female and male genitalia of Aedes (Howardina) guerrero Berlin, 1969 are described and illustrated for the first time. Additionally, the geographical distribution of Ae. (How.) guatemala Berlin, 1969 is extended. Valuable information on the distribution, larval habitats, taxonomy and keys to species within the Sexlineatus Section of the subgenus Howardina is provided.
DOI: 10.15468/4n9njy
title: Phylogeny, biogeography, and integrative taxonomic revision of the Afro-Arabian rodent genus Ochromyscus (Muridae: Murinae: Praomyini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Meheretu, Yonas, Mikula, Ondřej, Frynta, Daniel, Frýdlová, Petra, Mulualem, Getachew, Lavrenchenko, Leonid A., Kostin, Danila S., Elmi, Hassan Sh Abdirahman, Šumbera, Radim, Bryja, Josef (2024): Phylogeny, biogeography, and integrative taxonomic revision of the Afro-Arabian rodent genus Ochromyscus (Muridae: Murinae: Praomyini). Zoological Journal of the Linnean Society 202 (1): 1-15, DOI: 10.1093/zoolinnean/zlad158, URL: http://dx.doi.org/10.1093/zoolinnean/zlad158
DOI: 10.15468/dl.hs2bgf
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phytophthora capsici Leonian"
 ]
}

 The dataset includes 41 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021655-250127130748423/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.26265050.v6
title: Late-Copernican smooth deposits sampled by Chang’E-6

description: Data generated in this work, including the high-resolution digital elevation model, entrope map, phase ratio map, and shape files for boundaries of smooth deposits, regions used to extract reflectance spectra, phase ratio, radar and thermophysical properties, and crater statistics areas and collected craters.
DOI: 10.5281/zenodo.14840511
title: VKI-LS59: a 2D internal aero CFD RANS dataset, under geometrical variations

description: This dataset contains 2D internal aero CFD RANS solutions, under geometrical variations, based on the VKI-LS59 blade.

The files format is PLAID, see the plaid documentation. 

The variablity in the samples are 2 input scalars and the geometry (mesh) - the signed distance function is also provided and can be used as an input field. Outputs of interest are 7 fields (6 2D-fields and 1 1D-field) and 6 scalars.   

Eight nested training sets of sizes 8 to 671 are provided, with complete input-output data. A testing set of size 168 is provided, for which outputs are not provided.  

 

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 ["sdf", "ro", "rou", "rov", "roe", "nut", "mach"]:    print(f"{fn} =", sample.get_field(fn, base_name="Base_2_2"))print("M_iso =", sample.get_field("M_iso", base_name="Base_1_2"))for sn in sample.get_scalar_names():    print(f"{sn} =", sample.get_scalar(sn))

print("nodes 2D (flow) =", sample.get_nodes(base_name="Base_2_2"))print("nodes 1D (blade surface) =", sample.get_nodes(base_name="Base_1_2"))print("elements 2D (flow) =", sample.get_elements(base_name="Base_2_2"))print("elements 1D (blade surface) =", sample.get_elements(base_name="Base_1_2"))print("nodal_tags 2D (flow) =", sample.get_nodal_tags(base_name="Base_2_2"))
DOI: 10.5281/zenodo.14840512
title: VKI-LS59: a 2D internal aero CFD RANS dataset, under geometrical variations

description: This dataset contains 2D internal aero CFD RANS solutions, under geometrical variations, based on the VKI-LS59 blade.

The files format is PLAID, see the plaid documentation. 

The variablity in the samples are 2 input scalars and the geometry (mesh) - the signed distance function is also provided and can be used as an input field. Outputs of interest are 7 fields (6 2D-fields and 1 1D-field) and 6 scalars.   

Eight nested training sets of sizes 8 to 671 are provided, with complete input-output data. A testing set of size 168 is provided, for which outputs are not provided.  

 

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 ["sdf", "ro", "rou", "rov", "roe", "nut", "mach"]:    print(f"{fn} =", sample.get_field(fn, base_name="Base_2_2"))print("M_iso =", sample.get_field("M_iso", base_name="Base_1_2"))for sn in sample.get_scalar_names():    print(f"{sn} =", sample.get_scalar(sn))

print("nodes 2D (flow) =", sample.get_nodes(base_name="Base_2_2"))print("nodes 1D (blade surface) =", sample.get_nodes(base_name="Base_1_2"))print("elements 2D (flow) =", sample.get_elements(base_name="Base_2_2"))print("elements 1D (blade surface) =", sample.get_elements(base_name="Base_1_2"))print("nodal_tags 2D (flow) =", sample.get_nodal_tags(base_name="Base_2_2"))
DOI: 10.6084/m9.figshare.26647627.v5
title: data and code

description: Soil contamination
DOI: 10.15468/dl.pn9rp5
title: Occurrence Download

description: A dataset containing 3746 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liolophura japonica (Lischke, 1873)"
 ]
}

 The dataset includes 3746 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021656-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urxegh
title: Occurrence Download

description: A dataset containing 338666 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (May, June, January, February, March, April, July, August, September, October, November, December)",
 "Year 2022-2022"
 ]
}

 The dataset includes 338666 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021653-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aexddp
title: Occurrence Download

description: A dataset containing 917986 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is April",
 "OccurrenceStatus is Present",
 "TaxonKey is Picidae",
 "Year 2016-2017"
 ]
}

 The dataset includes 917986 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021654-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwg2wb
title: Occurrence Download

description: A dataset containing 515 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dinoplax gigas (Gmelin, 1791)"
 ]
}

 The dataset includes 515 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021657-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdausq
title: Occurrence Download

description: A dataset containing 760 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acanthochitona garnoti (Blainville, 1825)"
 ]
}

 The dataset includes 760 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021658-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9h7wtk
title: Occurrence Download

description: A dataset containing 560055 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is April",
 "OccurrenceStatus is Present",
 "TaxonKey is Picidae",
 "Year 2018-2018"
 ]
}

 The dataset includes 560055 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021659-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14840579
title: Testing the corrosion rate of prestressed beams under variable temperature and humidity conditions

description: The purpose of this study was to evaluate the effect of temperature rise on the development of corrosion processes in prestressed concrete beams. Tests were performed on the rate of corrosion processes both under conditions of increasing temperature and humidity, which were reproduced in a climatic chamber, as well as in an environment exposed to chloride ions. The process of migration of chloride ions into the concrete was accelerated by the application of an electric field. In addition, selected beams were subjected to long-term loading in order to induce scratching. Corrosion rate tests were carried out using the non-destructive linear polarization method (LPR). Strength tests of the beams, as well as displacement and deformation measurements using the digital image correlation technique in the Aramis system were also performed. Beams without chloride addition exhibited a fairly stable low level of corrosion current density throughout the test period, indicating the passive state of the reinforcement. In an environment with a humidity of 30% and a temperature of 20°C, the increase in corrosion current density was much faster than for beams in an environment with a humidity of 60% and a temperature of 30°C in both beams with and without chloride addition. A greater increase in corrosion current density could be observed in the unscratched beams compared to the scratched beams. The results of strength tests indicated that in beams subjected to accelerated migration of chloride ions, the deflection at scratching was significantly lower than in beams without chloride addition. In these beams, lower deformations on the surface of the elements at the time of scratching were also registered.
DOI: 10.5281/zenodo.14840580
title: Testing the corrosion rate of prestressed beams under variable temperature and humidity conditions

description: The purpose of this study was to evaluate the effect of temperature rise on the development of corrosion processes in prestressed concrete beams. Tests were performed on the rate of corrosion processes both under conditions of increasing temperature and humidity, which were reproduced in a climatic chamber, as well as in an environment exposed to chloride ions. The process of migration of chloride ions into the concrete was accelerated by the application of an electric field. In addition, selected beams were subjected to long-term loading in order to induce scratching. Corrosion rate tests were carried out using the non-destructive linear polarization method (LPR). Strength tests of the beams, as well as displacement and deformation measurements using the digital image correlation technique in the Aramis system were also performed. Beams without chloride addition exhibited a fairly stable low level of corrosion current density throughout the test period, indicating the passive state of the reinforcement. In an environment with a humidity of 30% and a temperature of 20°C, the increase in corrosion current density was much faster than for beams in an environment with a humidity of 60% and a temperature of 30°C in both beams with and without chloride addition. A greater increase in corrosion current density could be observed in the unscratched beams compared to the scratched beams. The results of strength tests indicated that in beams subjected to accelerated migration of chloride ions, the deflection at scratching was significantly lower than in beams without chloride addition. In these beams, lower deformations on the surface of the elements at the time of scratching were also registered.
DOI: 10.15468/dl.nrjcu8
title: Occurrence Download

description: A dataset containing 3223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "GadmGid is DEU.4_1",
 "IucnRedListCategory is one of (VU, EN, CR)",
 "Year 2015-2022"
 ]
}

 The dataset includes 3223 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021661-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/42690
title: Chandra X-ray Observatory ObsId 42690
DOI: 10.15468/dl.yfxkta
title: Occurrence Download

description: A dataset containing 653089 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is April",
 "OccurrenceStatus is Present",
 "TaxonKey is Picidae",
 "Year 2019-2019"
 ]
}

 The dataset includes 653089 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021662-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5p7xz3
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Pinus kesiya Royle ex Gordon"
 ]
}

 The dataset includes 105 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021666-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jdvy3g
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((25.18404 45.51583,25.31008 45.51583,25.31008 45.56622,25.18404 45.56622,25.18404 45.51583))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dianthus callizonus Schott & Kotschy"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021667-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfryqg
title: Occurrence Download

description: A dataset containing 338666 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (May, June, January, February, March, April, July, August, September, October, November, December)",
 "Year 2022-2022"
 ]
}

 The dataset includes 338666 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021660-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aw6ffd
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((25.18404 45.51583,25.31008 45.51583,25.31008 45.56622,25.18404 45.56622,25.18404 45.51583))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dianthus callizonus Schott & Kotschy"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021668-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.