cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/y23ydgfnc8
title: Afan Oromo Gram-based Next Word

description: This dataset is specifically scraped from different websites, cleaned and designed to facilitate research in afaan oromo natural language processing tasks, particularly for next word prediction.
DOI: 10.17632/y23ydgfnc8.1
title: Afan Oromo Gram-based Next Word

description: This dataset is specifically scraped from different websites, cleaned and designed to facilitate research in afaan oromo natural language processing tasks, particularly for next word prediction.
DOI: 10.25346/s6lqjm3j/dntmid
title: msXV_028r_MMSI+RTI+Arc_G05_091_F.tif
DOI: 10.25346/s6lqjm3j/hjhuyr
title: msXV_028r_MMSI+RTI+Arc_G03_090_F.tif
DOI: 10.25346/s6lqjm3j/8otfo9
title: msXV_028r_MMSI+RTI+Arc_G01_089_F.tif
DOI: 10.25346/s6lqjm3j/atjxq6
title: msXV_028r_MMSI+RTI+Arc_F16_088_F.tif
DOI: 10.15468/dl.9u98rj
title: Occurrence Download

description: A dataset containing 734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "GadmGid is COL.2_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Crocodylia"
 ]
}

 The dataset includes 734 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032090-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/lfdtqa
title: msXV_028r_MMSI+RTI+Arc_F14_087_F.tif
DOI: 10.15468/dl.2hmmpc
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.3188 20.84913, -106.1688 20.84913, -106.1688 20.99913, -106.3188 20.99913, -106.3188 20.84913))"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032091-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/vmtsms
title: msXV_028r_MMSI+RTI+Arc_F12_086_F.tif
DOI: 10.25346/s6lqjm3j/t2mi4a
title: msXV_028r_MMSI+RTI+Arc_F10_085_F.tif
DOI: 10.25346/s6lqjm3j/e0f4o4
title: msXV_028r_MMSI+RTI+Arc_F08_084_F.tif
DOI: 10.25346/s6lqjm3j/og8a2w
title: msXV_028r_MMSI+RTI+Arc_F06_083_F.tif
DOI: 10.25346/s6lqjm3j/xuuyfr
title: msXV_028r_MMSI+RTI+Arc_F04_082_F.tif
DOI: 10.25346/s6lqjm3j/gww94j
title: msXV_028r_MMSI+RTI+Arc_F02_081_F.tif
DOI: 10.25346/s6lqjm3j/rcsvcx
title: msXV_028r_MMSI+RTI+Arc_E15_080_F.tif
DOI: 10.25346/s6lqjm3j/ceipny
title: msXV_028r_MMSI+RTI+Arc_E13_079_F.tif
DOI: 10.25346/s6lqjm3j/c1pmym
title: msXV_028r_MMSI+RTI+Arc_E11_078_F.tif
DOI: 10.25346/s6lqjm3j/bucqwa
title: msXV_028r_MMSI+RTI+Arc_E09_077_F.tif
DOI: 10.25346/s6lqjm3j/wbziss
title: msXV_028r_MMSI+RTI+Arc_E07_076_F.tif
DOI: 10.25346/s6lqjm3j/afe3km
title: msXV_028r_MMSI+RTI+Arc_E05_075_F.tif
DOI: 10.25346/s6lqjm3j/7pvbtb
title: msXV_028r_MMSI+RTI+Arc_E03_074_F.tif
DOI: 10.25346/s6lqjm3j/szdxjv
title: msXV_028r_MMSI+RTI+Arc_E01_073_F.tif
DOI: 10.25346/s6lqjm3j/hbegks
title: msXV_028r_MMSI+RTI+Arc_D16_072_F.tif
DOI: 10.25346/s6lqjm3j/fesazq
title: msXV_028r_MMSI+RTI+Arc_D14_071_F.tif
DOI: 10.25346/s6lqjm3j/ivqh1w
title: msXV_028r_MMSI+RTI+Arc_D12_070_F.tif
DOI: 10.25346/s6lqjm3j/cmkfxp
title: msXV_028r_MMSI+RTI+Arc_D10_069_F.tif
DOI: 10.25346/s6lqjm3j/zthree
title: msXV_028r_MMSI+RTI+Arc_D08_068_F.tif
DOI: 10.25346/s6lqjm3j/stcukw
title: msXV_028r_MMSI+RTI+Arc_D06_067_F.tif
DOI: 10.25346/s6lqjm3j/a1ermn
title: msXV_028r_MMSI+RTI+Arc_D04_066_F.tif
DOI: 10.6084/m9.figshare.30585938.v2
title: UAV-based visible-infrared dataset for estimation of rice blast resistance

description: Experimental data of “A parallel resnet-transformer and cross-modal attention network for identification of rice blast resistance using UAV-based visible-infrared imagery”. This dataset contains the visible and infrared UAV imagery of 530 rice plots, and each plot covers one rice variety. The dataset was split into training, validation, and testing set with a ratio of 7:1:2.
DOI: 10.25346/s6lqjm3j/3rshpx
title: msXV_028r_MMSI+RTI+Arc_D02_065_F.tif
DOI: 10.25346/s6lqjm3j/kuaztp
title: msXV_028r_MMSI+RTI+Arc_C15_064_F.tif
DOI: 10.25346/s6lqjm3j/egpsrv
title: msXV_020v_MMSI+RTI+Arc_E11_078_F.tif
DOI: 10.25346/s6lqjm3j/kyzq2a
title: msXV_020v_MMSI+RTI+Arc_E09_077_F.tif
DOI: 10.25346/s6lqjm3j/tuicyo
title: msXV_020v_MMSI+RTI+Arc_E07_076_F.tif
DOI: 10.15468/dl.k93wr7
title: Occurrence Download

description: A dataset containing 1853 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Siphonochilus aethiopicus",
 "Year 1000-2025"
 ]
}

 The dataset includes 1853 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032092-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/4tqecp
title: msXV_020v_MMSI+RTI+Arc_E05_075_F.tif
DOI: 10.25346/s6lqjm3j/icxhgh
title: msXV_020v_MMSI+RTI+Arc_E03_074_F.tif
DOI: 10.25346/s6lqjm3j/9hsczq
title: msXV_020v_MMSI+RTI+Arc_E01_073_F.tif
DOI: 10.25346/s6lqjm3j/sfri51
title: msXV_020v_MMSI+RTI+Arc_D16_072_F.tif
DOI: 10.25346/s6lqjm3j/klkykw
title: msXV_020v_MMSI+RTI+Arc_D14_071_F.tif
DOI: 10.25346/s6lqjm3j/mnlrxu
title: msXV_020v_MMSI+RTI+Arc_D12_070_F.tif
DOI: 10.25346/s6lqjm3j/fkxznk
title: msXV_020v_MMSI+RTI+Arc_D10_069_F.tif
DOI: 10.25346/s6lqjm3j/c1qe6r
title: msXV_020v_MMSI+RTI+Arc_D08_068_F.tif
DOI: 10.25346/s6lqjm3j/qv0g3v
title: msXV_020v_MMSI+RTI+Arc_D06_067_F.tif
DOI: 10.25346/s6lqjm3j/ak3tmq
title: msXV_020v_MMSI+RTI+Arc_D04_066_F.tif
DOI: 10.25346/s6lqjm3j/mqowwe
title: msXV_020v_MMSI+RTI+Arc_D02_065_F.tif
DOI: 10.25346/s6lqjm3j/aqqzap
title: msXV_020v_MMSI+RTI+Arc_C15_064_F.tif
DOI: 10.25346/s6lqjm3j/bq1brs
title: msXV_020v_MMSI+RTI+Arc_C13_063_F.tif
DOI: 10.25346/s6lqjm3j/ebhdum
title: msXV_020v_MMSI+RTI+Arc_C11_062_F.tif
DOI: 10.25346/s6lqjm3j/m0qvob
title: msXV_020v_MMSI+RTI+Arc_C09_061_F.tif
DOI: 10.25346/s6lqjm3j/5unkjx
title: msXV_020v_MMSI+RTI+Arc_C07_060_F.tif
DOI: 10.25346/s6lqjm3j/znza3d
title: msXV_020v_MMSI+RTI+Arc_C05_059_F.tif
DOI: 10.25346/s6lqjm3j/8syevp
title: msXV_020v_MMSI+RTI+Arc_C03_058_F.tif
DOI: 10.25346/s6lqjm3j/fe0wr4
title: msXV_020v_MMSI+RTI+Arc_C01_057_F.tif
DOI: 10.25346/s6lqjm3j/ifq84p
title: msXV_020v_MMSI+RTI+Arc_B16_056_F.tif
DOI: 10.25346/s6lqjm3j/ddo3wd
title: msXV_020v_MMSI+RTI+Arc_B14_055_F.tif
DOI: 10.25346/s6lqjm3j/35ui5g
title: msXV_020v_MMSI+RTI+Arc_B12_054_F.tif
DOI: 10.25346/s6lqjm3j/nh5czy
title: msXV_020v_MMSI+RTI+Arc_B10_053_F.tif
DOI: 10.25346/s6lqjm3j/qixwny
title: msXV_020v_MMSI+RTI+Arc_B08_052_F.tif
DOI: 10.15468/dl.w44vwe
title: Occurrence Download

description: A dataset containing 56817504 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((146.283073105 -38.9737104419999,149.487365884 -37.7758228229999,149.675290834 -37.6855309569999,149.917920058 -37.5686888359999,149.962952889 -37.5172669339999,150.051496965 -37.2624959569999,150.340988121 -35.5243683539999,150.352798398 -33.9183921809999,149.95004275 -32.6897926059999,149.646331788 -31.9655752169999,149.597946161 -31.9203129369999,149.491943411 -31.9032383229999,147.472794866 -32.1873328969999,140.388198777 -37.5341376789999,140.496246367 -37.7325782319999,140.724075377 -37.95974358,141.556899103 -38.3472545499999,141.627136432 -38.3666338369999,143.51113581 -38.8580239309999,146.283073105 -38.9737104419999))"
 ]
}

 The dataset includes 56817504 records from 994 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032064-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60594/w43k5f
title: Leica BLK360 G1 Terrestrial LiDAR Scans from the 2024 Department of Defense Wildland Fire Science Initiative Fort Stewart-Hunter Army Airfield Campaign

description: To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, Leica BLK360 G1 terrestrial LiDAR scans were conducted across the E11 and E16 units. This dataset provides the scans collected before (January 2024) and after (February 2024) the prescribed burns.
 
 This dataset is part of the Wildland Fire Science Initiative (WFSI) research burn campaign held at Fort Stewart from February 8, 2024 to February 10, 2024. In addition, pre- and post-fire data collection occurred before and after these dates. See the most recent version of the contextual dataset "Fort Stewart 2024: Contextual data for Wildland Fire Science Initiative (WFSI) Research Burn Campaign" for more information about the campaign (see Annotations section for has Metadata link).
DOI: 10.15468/dl.4ed3mp
title: Occurrence Download

description: A dataset containing 26539 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-75.74638 6.34566,-74.60421 6.34566,-74.60421 7.09492,-75.74638 7.09492,-75.74638 6.34566))",
 "HasCoordinate is true",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 26539 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016007-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.52vkbj
title: Occurrence Download

description: A dataset containing 702 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plegadis falcinellus (Linnaeus, 1766)"
 ]
}

 The dataset includes 702 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016009-250525065834625/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.29946851
title: Measurement data

description: Beyond the Map: A Sustainability and Carbon Footprint Audit of Public Geoportals
DOI: 10.6084/m9.figshare.29946851.v1
title: Measurement data

description: Beyond the Map: A Sustainability and Carbon Footprint Audit of Public Geoportals
DOI: 10.15468/dl.9te93v
title: Occurrence Download

description: A dataset containing 4959 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Indonesia",
 "TaxonKey is Apidae"
 ]
}

 The dataset includes 4959 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024735-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9cjdc
title: Occurrence Download

description: A dataset containing 15340 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ardisia crenata Sims)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 15340 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010682-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gzypba
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is Reynosia septentrionalis Urb."
 ]
}

 The dataset includes 84 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010683-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16744844
title: SCDF: A Speaker Characteristics DeepFake Speech Dataset for Bias Analysis

description: SCDF - A Speaker Characteristics DeepFake Speech Dataset for Bias Analysis is a dataset for fairness assessment and bias analysis of deepfake speech detectors. It contains over 500 hours of (mostly synthetic) speech in over 237,000 utterances. It is based on the VoxPopuli corpus and provides a richly annotated resource with metadata for systematic analysis of how speaker characteristics influence deepfake speech detectors, which allows for fine-grained analysis of the impact of specific attributes. Importantly, this aligns with the ethical AI principles and emerging regulatory requirements, such as the European Union’s AI Act.

The dataset contains mostly synthetic speech; 25 bona-fide utterances per speaker are included, and the rest of the utterances are synthesized by one of the tools mentioned below. The SCDF dataset is balanced across:



Speakers: balanced representation of speakers (25 male and 25 female)

Languages: 5 languages (Czech, French, English, German, Spanish)

Synthesizers: 4 state-of-the-art synthesizers (XTTSv2, F5-TTS, Open Voice v2, DDDM-VC)

Age: Wide range of speaker ages


All audio files are provided in 16-bit PCM WAV format at 16 kHz, consisting of synthetic (deepfake) and genuine speech samples.

License: CC0 1.0Audio type: Synthetic (deepfake) and genuine (bonafide)Language: Czech, French, German, English, SpanishPaper: https://arxiv.org/abs/2508.07944
DOI: 10.5281/zenodo.16744845
title: SCDF: A Speaker Characteristics DeepFake Speech Dataset for Bias Analysis

description: SCDF - A Speaker Characteristics DeepFake Speech Dataset for Bias Analysis is a dataset for fairness assessment and bias analysis of deepfake speech detectors. It contains over 500 hours of (mostly synthetic) speech in over 237,000 utterances. It is based on the VoxPopuli corpus and provides a richly annotated resource with metadata for systematic analysis of how speaker characteristics influence deepfake speech detectors, which allows for fine-grained analysis of the impact of specific attributes. Importantly, this aligns with the ethical AI principles and emerging regulatory requirements, such as the European Union’s AI Act.

The dataset contains mostly synthetic speech; 25 bona-fide utterances per speaker are included, and the rest of the utterances are synthesized by one of the tools mentioned below. The SCDF dataset is balanced across:



Speakers: balanced representation of speakers (25 male and 25 female)

Languages: 5 languages (Czech, French, English, German, Spanish)

Synthesizers: 4 state-of-the-art synthesizers (XTTSv2, F5-TTS, Open Voice v2, DDDM-VC)

Age: Wide range of speaker ages


All audio files are provided in 16-bit PCM WAV format at 16 kHz, consisting of synthetic (deepfake) and genuine speech samples.

License: CC0 1.0Audio type: Synthetic (deepfake) and genuine (bonafide)Language: Czech, French, German, English, SpanishPaper: https://arxiv.org/abs/2508.07944
DOI: 10.15468/dl.r667tb
title: Occurrence Download

description: A dataset containing 3586 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((20.07197 40.28735,76.83015 40.28735,76.83015 65.34088,20.07197 65.34088,20.07197 40.28735))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Carduus nutans L."
 ]
}

 The dataset includes 3586 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013779-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gm9378
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lycodon zayuensis Jiang, Wang, Jin & Che, 2020"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013785-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fgfjbv
title: Occurrence Download

description: A dataset containing 638 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhabdophis helleri (Schmidt, 1925)"
 ]
}

 The dataset includes 638 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013783-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17630/1b001f08-8896-417e-941f-4ce78de78a5d
title: Data underpinning Sen Wu's thesis

description: Indefinite embargo applied. Embargo reason: permission not provided to allow public access
DOI: 10.15468/dl.xkzkze
title: Occurrence Download

description: A dataset containing 10907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trapa L."
 ]
}

 The dataset includes 10907 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001501-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jjft3e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Winteria telescopa Brauer, 1901",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((8.2112 -0.773,8.9648 -2.2147,8.9648 1.4824,8.8631 1.3007,8.8278 -0.0747,8.2974 -0.3332,8.2112 -0.773))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009911-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.3871564
title: Replication package for paper: "What do developers talk about open source software licensing?"

description: This is the dataset used in the respective research work. The abstract is available below.


If you want to cite this work, please use:


 


Georgia M. Kapitsaki, Maria Papoutsoglou, Daniel German and Lefteris Angelis, What do developers talk about open source software licensing?, to appear in the Proceedings of the Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2020.


Free and open source software has gained a lot of momentum in the industry and the research community. Open source
licenses determine the rules, under which the open source software can be further used and distributed. Previous works
have examined the usage of open source licenses in the framework of specific projects or online social coding platforms, examining developers specific licensing views for specific software. However, the questions practitioners ask about licenses and licensing as captured in Question and Answer websites also constitute an important aspect toward understanding practitioners general licenses and licensing concerns. In this paper, we investigate open source license discussions using data from the Software Engineering, Open Source and Law Stack Exchange sites that contain relevant data. We describe the process used for the data collection and analysis, and discuss the main results. Our results indicate that clarifications about specific licenses and specific license terms are required. The results can be useful for developers, educators and license authors.
DOI: 10.5281/zenodo.3871565
title: Replication package for paper: "What do developers talk about open source software licensing?"

description: This is the dataset used in the respective research work. The abstract is available below.


If you want to cite this work, please use:


 


Georgia M. Kapitsaki, Maria Papoutsoglou, Daniel German and Lefteris Angelis, What do developers talk about open source software licensing?, to appear in the Proceedings of the Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2020.


Free and open source software has gained a lot of momentum in the industry and the research community. Open source
licenses determine the rules, under which the open source software can be further used and distributed. Previous works
have examined the usage of open source licenses in the framework of specific projects or online social coding platforms, examining developers specific licensing views for specific software. However, the questions practitioners ask about licenses and licensing as captured in Question and Answer websites also constitute an important aspect toward understanding practitioners general licenses and licensing concerns. In this paper, we investigate open source license discussions using data from the Software Engineering, Open Source and Law Stack Exchange sites that contain relevant data. We describe the process used for the data collection and analysis, and discuss the main results. Our results indicate that clarifications about specific licenses and specific license terms are required. The results can be useful for developers, educators and license authors.
DOI: 10.15468/dl.bgcjb2
title: Occurrence Download

description: A dataset containing 5883 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 59.085278",
 "DecimalLatitude is less than or equal to 64.085278",
 "DecimalLongitude is greater than or equal to -160.0",
 "DecimalLongitude is less than or equal to -155.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 5883 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009492-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbpy94
title: Occurrence Download

description: A dataset containing 827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ophiophagus hannah)",
 "DecimalLatitude is greater than or equal to 0",
 "DecimalLatitude is less than or equal to 60",
 "DecimalLongitude is greater than or equal to 60",
 "DecimalLongitude is less than or equal to 150",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 827 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009493-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17720739
title: RWP and MMCR Observations of Winds, Turbulence, and Clouds during a Cold Surge Event over Central-Eastern China (20-21 January 2024)

description: This dataset provides high-resolution vertical atmospheric observations from the 20-21 January 2024 cold surge in central-eastern China. The cold_surge.zip file contains RWP wind profiles from triangular networks in Beijing and Guizhou, plus derived turbulence dissipation rates and MMCR reflectivity data for Guizhou. Complete details are documented in the accompanying read_me.txt file.