cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.aww8t8
title: Occurrence Download

description: A dataset containing 214363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anser anser (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Month is July",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 214363 records from 228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026763-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m9tlfq
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anna mollifolia (W.T.Wang) W.T.Wang & K.Y.Pan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004241-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8c9nfr
title: Occurrence Download

description: A dataset containing 575728 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ochlodes venata (Bremer & Grey, 1853)"
 ]
}

 The dataset includes 575728 records from 1664 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055606-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20371/inaf/ds/2022_00003
title: SolO/Metis Data release 1.0 2022-08

description: The data products included in this data release are science data 
 acquired by Solar Orbiter/Metis coronagraph. Metis scientific data products consist of calibrated data images (Level 2) 
 acquired by Metis coronagraph in an annular field-of-view from 1.6 to 2.9 degrees (corresponding to 1.7 to 3.0 solar 
 radii @ 0.28 UA) in two wavelength bands: Visible Light polarized brightness at 580-640 nm and narrowband UV HI 
 Ly-alpha at 121.6 nm. Only Level 2 (calibrated) data are distributed and this release is produced with the current 
 calibration understanding. In particular, Level 2 data contain: UV images, VL polarized brightness (pB) images, 
 total brightness (tB) images, polarization angle, and Stokes vector images. 
 Time range of observations: 2021-12-02/2022-01-04 STP: 180, 181,182,183,184
 The Metis experiment is an international collaboration led by the Italian National Institute for Astrophysics (INAF)
 and supported by the Italian Space Agency (ASI), involving several Universities in Italy and research institutes in
 the world.
 The format and content of these data products are documented in the Metis Data Product Description Document (DPDD):
 http://metis.oato.inaf.it/docs/METIS-OATO-SPE-021_2.0%20Solar%20Orbiter%20Metis%20Data%20Product%20Description%20Document.pdf
 For additional information about this specific data release please refers to
 http://metis.oato.inaf.it/metis_data_release_1.0.html 
 When publishing any works related to this data, please refers to the technical release note, 
 Data product and data policy document.
DOI: 10.17638/datacat.liverpool.ac.uk/2787
title: Lamb Neonatal Infectious Arthritis Data Set

description: Read me file contains varaibles names and types
Anonymised data set in XL file
DOI: 10.15468/dl.6zrtd5
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.486903 -35.787339, 147.486903 -35.794076, 147.489149 -35.794076, 147.489149 -35.81878, 147.49364 -35.81878, 147.49364 -35.809797, 147.491394 -35.809797, 147.491394 -35.800814, 147.495886 -35.800814, 147.495886 -35.796322, 147.49364 -35.796322, 147.49364 -35.794076, 147.495886 -35.794076, 147.495886 -35.789585, 147.49364 -35.789585, 147.49364 -35.787339, 147.486903 -35.787339))"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053796-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pfbwmk
title: Occurrence Download

description: A dataset containing 269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((100 0,180 0,180 66,100 66,100 0))",
 "Depth is greater than or equal to 0m",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material citation, Material sample, Observation, Specimen)"
 ]
 }
 },
 "TaxonKey is Cheloniidae",
 "CoordinateUncertaintyInMeters is less than 1e+05"
 ]
}

 The dataset includes 269 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053795-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6yx76w
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.234134 -35.769373, 149.234134 -35.773864, 149.23638 -35.773864, 149.23638 -35.789585, 149.234134 -35.789585, 149.234134 -35.787339, 149.218414 -35.787339, 149.218414 -35.794076, 149.229643 -35.794076, 149.229643 -35.812043, 149.247609 -35.812043, 149.247609 -35.794076, 149.238626 -35.794076, 149.238626 -35.769373, 149.234134 -35.769373))"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053797-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20371/inaf/ds/2022_00004
title: Mutual coupling mitigation in array dense regime by an antenna distribution optimization in SKA1-LOW

description: Data and scripts will be made public after the publication of the associated paper
DOI: 10.15468/dl.t7wfc2
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.63288 -35.80306, 147.63288 -35.805305, 147.630634 -35.805305, 147.630634 -35.812043, 147.639617 -35.812043, 147.639617 -35.81878, 147.644109 -35.81878, 147.644109 -35.812043, 147.646355 -35.812043, 147.646355 -35.80306, 147.63288 -35.80306))"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053798-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nw3s3x
title: Occurrence Download

description: A dataset containing 209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "TaxonKey is Leptocoris tagalicus Burmeister, 1834"
 ]
}

 The dataset includes 209 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053800-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u42sw9
title: Occurrence Download

description: A dataset containing 98213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-180 -90, 180 -90, 180 90, -180 90, -180 -90))",
 "Depth is greater than or equal to 0m",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material citation, Material sample, Observation, Specimen)"
 ]
 }
 },
 "TaxonKey is Cheloniidae",
 "CoordinateUncertaintyInMeters is less than 1e+05"
 ]
}

 The dataset includes 98213 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053799-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25403/upresearchdata.26490982
title: Induction efficacy of virtual environments simulating an image from the spontaneous healing intra-systemic process

description: This dataset includes information that illustrates the induction efficacy of a virtual environment simulating a specific image from the spontaneous healing intra-systemic process (SHIP®). The study used a randomised clinical trial to compare the traditional spontaneous healing process (i.e., imagining requested stimuli) with a virtual reality method (i.e., immersion into a virtual environment simulating the requested stimuli). The following sets of data have been included:The scores describing the imagination capabilities of participants as determined by a trained facilitator. (Excel)The randomisation of participants with the lowest imagination capabilities into two homogeneous groups. (Excel)The scores describing the usefulness of each participant's SHIP® session as determined by the facilitator. (Excel)The processed helpful aspects of therapy data gathered by the facilitator during each participant's session. This data describes events, responses, and direct quotes from participants that were deemed helpful by the facilitator to the overall spontaneous healing process. The data for both groups are described in detail. (PDF)The processed change interview data gathered during a semi-structured interview between the head researcher and the facilitator where the above-mentioned helpful aspects of therapy data were discussed. (PDF)The transcriptions of the session recordings of each participant across the two groups, namely the control group and the virtual reality group.The transcription of the change interview recording between the facilitator and head researcher. (PDF)This data was analysed to determine how effective virtual environments are in inducing unique responses and how assistive these responses were to the overall process of SHIP®.
DOI: 10.25403/upresearchdata.26490982.v1
title: Induction efficacy of virtual environments simulating an image from the spontaneous healing intra-systemic process

description: This dataset includes information that illustrates the induction efficacy of a virtual environment simulating a specific image from the spontaneous healing intra-systemic process (SHIP®). The study used a randomised clinical trial to compare the traditional spontaneous healing process (i.e., imagining requested stimuli) with a virtual reality method (i.e., immersion into a virtual environment simulating the requested stimuli). The following sets of data have been included:The scores describing the imagination capabilities of participants as determined by a trained facilitator. (Excel)The randomisation of participants with the lowest imagination capabilities into two homogeneous groups. (Excel)The scores describing the usefulness of each participant's SHIP® session as determined by the facilitator. (Excel)The processed helpful aspects of therapy data gathered by the facilitator during each participant's session. This data describes events, responses, and direct quotes from participants that were deemed helpful by the facilitator to the overall spontaneous healing process. The data for both groups are described in detail. (PDF)The processed change interview data gathered during a semi-structured interview between the head researcher and the facilitator where the above-mentioned helpful aspects of therapy data were discussed. (PDF)The transcriptions of the session recordings of each participant across the two groups, namely the control group and the virtual reality group.The transcription of the change interview recording between the facilitator and head researcher. (PDF)This data was analysed to determine how effective virtual environments are in inducing unique responses and how assistive these responses were to the overall process of SHIP®.
DOI: 10.15468/dl.3pey8t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.680041 -35.80306, 147.680041 -35.816534, 147.684533 -35.816534, 147.684533 -35.805305, 147.686779 -35.805305, 147.686779 -35.80306, 147.680041 -35.80306))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053801-240626123714530/datasets/export for details.
DOI: 10.15468/dl.c3acgb
title: Occurrence Download

description: A dataset containing 549 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Moldova, Republic of",
 "TaxonKey is one of (Ardea purpurea Linnaeus, 1766, Netta rufina (Pallas, 1773))"
 ]
}

 The dataset includes 549 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053802-240626123714530/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.24189882
title: MalImg dataset.zip

description: Images dataset for malware classification using deep learning methods
DOI: 10.15468/dl.fhbsrn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.706991 -35.80306, 147.706991 -35.812043, 147.709237 -35.812043, 147.709237 -35.823272, 147.713728 -35.823272, 147.713728 -35.809797, 147.709237 -35.809797, 147.709237 -35.80306, 147.706991 -35.80306))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053804-240626123714530/datasets/export for details.
DOI: 10.15468/dl.ubgds4
title: Occurrence Download

description: A dataset containing 38602 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myotis myotis (Borkhausen, 1797)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 38602 records from 1249 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053803-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13254326
title: Article dataset: "Assessing inclusivity at Ukrainian universities during wartime: studentsʼ voices"

description: This dataset accompanies the study "Assessing inclusivity at Ukrainian universities during wartime: studentsʼ voices", which investigates the state of inclusivity in Ukrainian universities. This article examines the assessment of inclusivity by Ukrainian students in the context of war, emphasizing the crucial role of universities in supporting Sustainable Development Goals (SDGs), particularly SDG 4 aimed at ensuring quality education and promoting lifelong learning opportunities for all. In the context of warfare and its impact on the educational process, the article reveals how students overall assess the level of inclusivity and how students' assessment of inclusivity varies depending on the year of study and self-identification with vulnerable groups. The total number of university students who participated in the study was 4,389.  Analyzing responses from the majority of students who perceive the university environment as highly inclusive, the study also identifies critical points where inclusivity measures could be improved, especially for students belonging to vulnerable groups, including those with disabilities and gender nonconforming individuals. 

Contents of the dataset:1. Research program – a comprehensive outline of the research program detailing the study's objectives, methodology, and the analytical framework applied.2. Survey questionnaire – the instrument employed to gather data from students, encompassing questions about their year of study and perceptions of inclusivity.3. Raw responses – the unprocessed data obtained from 4,389 participants, including their anonymized answers to the survey questions.

Note: all data is presented in Ukrainian.

Usage notes:Researchers and practitioners are encouraged to use this dataset to further explore inclusivity in higher education, especially in contexts undergoing significant social and political transformations. Proper attribution should be given when using this dataset in any publication or presentation.

For any questions or additional information regarding this dataset, please contact:

Dr. Yana SuchikovaVice-Rector for ResearchBerdyansk State Pedagogical University, Ukraine yanasuchikova@gmail.com
DOI: 10.5281/zenodo.13254327
title: Article dataset: "Assessing inclusivity at Ukrainian universities during wartime: studentsʼ voices"

description: This dataset accompanies the study "Assessing inclusivity at Ukrainian universities during wartime: studentsʼ voices", which investigates the state of inclusivity in Ukrainian universities. This article examines the assessment of inclusivity by Ukrainian students in the context of war, emphasizing the crucial role of universities in supporting Sustainable Development Goals (SDGs), particularly SDG 4 aimed at ensuring quality education and promoting lifelong learning opportunities for all. In the context of warfare and its impact on the educational process, the article reveals how students overall assess the level of inclusivity and how students' assessment of inclusivity varies depending on the year of study and self-identification with vulnerable groups. The total number of university students who participated in the study was 4,389.  Analyzing responses from the majority of students who perceive the university environment as highly inclusive, the study also identifies critical points where inclusivity measures could be improved, especially for students belonging to vulnerable groups, including those with disabilities and gender nonconforming individuals. 

Contents of the dataset:1. Research program – a comprehensive outline of the research program detailing the study's objectives, methodology, and the analytical framework applied.2. Survey questionnaire – the instrument employed to gather data from students, encompassing questions about their year of study and perceptions of inclusivity.3. Raw responses – the unprocessed data obtained from 4,389 participants, including their anonymized answers to the survey questions.

Note: all data is presented in Ukrainian.

Usage notes:Researchers and practitioners are encouraged to use this dataset to further explore inclusivity in higher education, especially in contexts undergoing significant social and political transformations. Proper attribution should be given when using this dataset in any publication or presentation.

For any questions or additional information regarding this dataset, please contact:

Dr. Yana SuchikovaVice-Rector for ResearchBerdyansk State Pedagogical University, Ukraine yanasuchikova@gmail.com
DOI: 10.5281/zenodo.13253010
title: Data for Fluorescein-switching-based lateral flow assay for the detection of microRNAs

description: Data for Fluorescein-switching-based lateral flow assay for the detection of microRNAs
DOI: 10.5281/zenodo.13253011
title: Data for Fluorescein-switching-based lateral flow assay for the detection of microRNAs

description: Data for Fluorescein-switching-based lateral flow assay for the detection of microRNAs
DOI: 10.5281/zenodo.5126966
title: CLDF dataset derived from Ivani's "Basic Words in Suansu" from 2019

description: Cite the source of the dataset as: Ivani, J. K. (2019): A first overview on Suansu, a Tibeto-Burman language from Northeastern India. Talk, held at the 29th conference of the Southeast Asian Linguistic Society (27-29 May, Tokyo). https://zenodo.org/record/3383006
DOI: 10.5281/zenodo.13254433
title: CLDF dataset derived from Ivani's "Basic Words in Suansu" from 2019

description: Cite the source of the dataset as:




Ivani, J. K. (2019): A first overview on Suansu, a Tibeto-Burman language from Northeastern India. Talk, held at the 29th conference of the Southeast Asian Linguistic Society (27-29 May, Tokyo). https://zenodo.org/record/3383006
DOI: 10.5281/zenodo.5126965
title: CLDF dataset derived from Ivani's "Basic Words in Suansu" from 2019

description: Cite the source of the dataset as:




Ivani, J. K. (2019): A first overview on Suansu, a Tibeto-Burman language from Northeastern India. Talk, held at the 29th conference of the Southeast Asian Linguistic Society (27-29 May, Tokyo). https://zenodo.org/record/3383006
DOI: 10.15468/dl.ttjtkr
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.155531 -35.80306, 149.155531 -35.812043, 149.157777 -35.812043, 149.157777 -35.816534, 149.162269 -35.816534, 149.162269 -35.809797, 149.164515 -35.809797, 149.164515 -35.805305, 149.162269 -35.805305, 149.162269 -35.80306, 149.155531 -35.80306))"
 ]
}

 The dataset includes 161 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053805-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7pbwv6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.421775 -35.805305, 147.421775 -35.812043, 147.437495 -35.812043, 147.437495 -35.81878, 147.446478 -35.81878, 147.446478 -35.816534, 147.441987 -35.816534, 147.441987 -35.812043, 147.439741 -35.812043, 147.439741 -35.809797, 147.430758 -35.809797, 147.430758 -35.805305, 147.426266 -35.805305, 147.426266 -35.809797, 147.42402 -35.809797, 147.42402 -35.805305, 147.421775 -35.805305))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053806-240626123714530/datasets/export for details.
DOI: 10.15468/dl.nwzgjd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.363384 -35.809797, 147.363384 -35.812043, 147.370121 -35.812043, 147.370121 -35.809797, 147.363384 -35.809797))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053807-240626123714530/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.26509435
title: Supplementary Material for: Long term response of lorlatinib to leptomeningeal metastasis in patients with ALK fusion positive non-small lung cancer: A Case Report

description: Introduction: Patients with anaplastic lymphoma kinase (ALK)-rearranged non-small cell lung cancer (NSCLC) are at increased risk of central nervous system (CNS) metastasis at initial diagnosis and throughout treatment. In a phase 3 trial, lorlatinib, a third-generation ALK tyrosine kinase inhibitor (TKI), significantly improved progression-free survival. In further analysis, lorlatinib revealed superior intracranial efficacy and prolonged time to intracranial progression compared with crizotinib. 
Case presentation: Herein, we report a case of ALK-positive NSCLC with leptomeningeal metastasis that was successfully treated with lorlatinib after progression to brigatinib and alectinib. This case demonstrates the potential of lorlatinib in managing leptomeningeal metastasis in ALK-positive NSCLC.
Conclusion: The case suggests a paradigm shift in therapeutic approaches for CNS metastasis, including brain and leptomeningeal metastases.