cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5968/kisti_kdr/28
title: Full Body CT Image Set and Each 3-Dimensional Bone Model of Korean Female Cadaver f-008
title: 한국인 여성 시신(f-008)의 전신 CT 영상 및 각 뼈의 3차원 뼈대 모델

description: 한국인 여성 시신(f-008)의 전신을 1 mm 간격으로 전신을 CT 스캔하여 약 1,500-1,700 장 정도의 전신 CT 영상(DICOM 파일)을 풀 셋으로 제작하였고 또한 이 CT 영상을 기반으로 상용 프로그램(미믹스)을 사용하여 인체를 구성하는 뼈 179개를 모두 구역화하여 각각의 뼈에 대한 3차원 뼈대 모델(STL 파일)을 제작하였다. 보다 상세한 내용은 KISTI에서 운영하는 디지털 코리언 홈페이지(http://dk.kisti.re.kr)를 참조하기 바란다.
description: 한국인 여성 시신(f-008)의 전신을 1 mm 간격으로 CT 촬영하여 얻은 약 1,500-1,700 장 정도의 인체 전신에 대한 전체 CT 영상
description: 의료 영상;CT 영상;여성;전신;3차원 뼈대 모델;3D 골격 모델;
description: 2003년도 제2차 지식정보자원관리사업 과학기술 사실정보 DB 구축
description: 한승호, 곽대순, 이우영, 최광남, 김태중, "디지털 코리언 인체 모델 구축", 한국정밀공학회 생체공학 부문 2006년도 학술대회논문집, p. 37-40, 2006
description: 한국인 여성 시신(f-008)의 전신을 CT 촬영해서 얻은 전체 CT 영상에서 인체를 구성하는 각 뼈를 상용 프로그램(미믹스)을 사용하여 각 뼈대별로 구역화하여 제작한 전체 179개의 개별 뼈에 대한 3차원 인체 뼈대 모델
DOI: 10.15468/dl.r5qs88
title: Occurrence Download

description: A dataset containing 643 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Zornia diphylla, Zornia diphylla)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 643 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005120-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kaxzm2
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea multifida",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005121-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxvpy2
title: Occurrence Download

description: A dataset containing 285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Symphyotrichum ciliatum (Ledeb.) G.L.Nesom",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 285 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162832-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4umjdh
title: Occurrence Download

description: A dataset containing 1850 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Trema micrantha (L.) Blume",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1850 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028253-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p75duj
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hibiscus discolorifolius Hochr."
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020674-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yadx3s
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendrobium cariniferum Rchb.f."
 ]
}

 The dataset includes 84 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162805-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cgnvlx
title: Occurrence Download

description: A dataset containing 2420326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "TaxonKey is Chordata",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2420326 records from 467 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028254-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqusrn
title: Occurrence Download

description: A dataset containing 1018498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, Germany, Netherlands)",
 "TaxonKey is one of (Ondatra zibethicus (Linnaeus, 1766), Myocastor coypus (Molina, 1782))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1018498 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008348-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7ev4d
title: Occurrence Download

description: A dataset containing 3867 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Icterus jamacaii (Gmelin, 1788)"
 ]
}

 The dataset includes 3867 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149964-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4v4qas
title: Occurrence Download

description: A dataset containing 23610 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Country is Congo",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 23610 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028254-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.unbkdf
title: Occurrence Download

description: A dataset containing 879 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solidago ulmifolia Muhl. ex Willd.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 879 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162826-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vvdx3t
title: Occurrence Download

description: A dataset containing 708 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Urosphena pallidipes (Blanford, 1872)"
 ]
}

 The dataset includes 708 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012328-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gbhwv
title: Occurrence Download

description: A dataset containing 3316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Urochloa fusca (Sw.) B.F.Hansen & Wunderlin)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3316 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047030-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dh1ddq
title: Occurrence Download

description: A dataset containing 1247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Alnus acuminata Kunth",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1247 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028258-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rwddcv
title: Occurrence Download

description: A dataset containing 461 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Locustella tacsanowskia Swinhoe, 1871"
 ]
}

 The dataset includes 461 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012333-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmfwyj
title: Occurrence Download

description: A dataset containing 570 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solidago puberula Nutt.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 570 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162811-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jwnwxv
title: Occurrence Download

description: A dataset containing 677 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysocyon brachyurus (Illiger, 1815)"
 ]
}

 The dataset includes 677 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028259-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2btfnu
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Megalurulus rufus (Reichenow, 1890)"
 ]
}

 The dataset includes 58 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012339-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3t5aq2
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anredera vesicaria (Lam.) C.F.Gaertn.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 123 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162890-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0hmviv
title: Occurrence Download

description: A dataset containing 3104 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myodocarpaceae"
 ]
}

 The dataset includes 3104 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028259-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zxh99
title: Occurrence Download

description: A dataset containing 6706 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Dendroica G.R.Gray, 1842"
 ]
}

 The dataset includes 6706 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012331-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qkdy4
title: Occurrence Download

description: A dataset containing 1371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bromeliaceae"
 ]
}

 The dataset includes 1371 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0182133-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pp3ong
title: Occurrence Download

description: A dataset containing 390618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 390618 records from 405 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028260-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1136183.10fu
title: SH1136183.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1136184.10fu
title: SH1136184.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1136193.10fu
title: SH1136193.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1136199.10fu
title: SH1136199.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.17722144
title: What-App? App Usage Detection Using Encrypted LTE/5G Traffic

description: LTE PDCP Dataset

The dataset contains LTE Packet Data Convergence Protocol (PDCP) header traces extracted from traffic generated by different mobile applications. Each file represents a single LTE data stream corresponding to one user equipment (UE). The filename indicates the application from which the traffic was captured.

Dataset Description

The dataset provides PDCP-layer packet header metadata without including any payload content. All files are provided in CSV format and follow a unified schema. This dataset was produced as part of the research work accepted for publication at the 26th Privacy Enhancing Technologies Symposium (PETS 2026), titled “What-App? App usage detection using encrypted LTE/5G traffic”, and is released to support reproducibility and further exploration of mobile traffic analysis methods.

Fields



CaptureTime: Timestamp when the PDCP PDU was captured.

Direction: Transmission direction. `0` = Downlink, `1` = Uplink.

SequenceNumber: PDCP sequence number of the PDU.

Length: Size (in bytes) of the PDCP PDU.


Example



CaptureTime,Direction,SequenceNumber,Length2022-12-23 10:16:11.022517+00:00,0,0,602022-12-23 10:16:11.022574+00:00,0,1,602022-12-23 10:16:11.024118+00:00,1,0,622022-12-23 10:16:11.024340+00:00,1,1,622022-12-23 10:16:11.031566+00:00,0,2,12282022-12-23 10:16:11.031589+00:00,0,3,602022-12-23 10:16:11.031626+00:00,0,4,752022-12-23 10:16:11.032510+00:00,1,2,782022-12-23 10:16:11.035039+00:00,1,3,932022-12-23 10:16:11.039723+00:00,0,5,522022-12-23 10:16:11.039748+00:00,0,6,2822022-12-23 10:16:11.045482+00:00,1,4,542022-12-23 10:16:11.047603+00:00,0,7,522022-12-23 10:16:11.047639+00:00,0,8,282


Data Collection and Ethics

This dataset were collected by the authors in controlled experimental environments. Traffic was generated using our own testbed, where mobile applications were exercised through scripts with built-in randomness to ensure variability and unpredictability in usage patterns. Traffic related to interactive applications (e.g., games) was manually generated by the authors. All experiments were conducted using anonymous accounts created solely for data collection purposes. No real user accounts were involved. The dataset contains only PDCP-layer packet header metadata. No payload content, user identifiers, personal data, or application-level content is included. Consequently, the dataset does not contain any real user data and does not expose sensitive or private information.
DOI: 10.5281/zenodo.17722145
title: What-App? App Usage Detection Using Encrypted LTE/5G Traffic

description: LTE PDCP Dataset

The dataset contains LTE Packet Data Convergence Protocol (PDCP) header traces extracted from traffic generated by different mobile applications. Each file represents a single LTE data stream corresponding to one user equipment (UE). The filename indicates the application from which the traffic was captured.

Dataset Description

The dataset provides PDCP-layer packet header metadata without including any payload content. All files are provided in CSV format and follow a unified schema. This dataset was produced as part of the research work accepted for publication at the 26th Privacy Enhancing Technologies Symposium (PETS 2026), titled “What-App? App usage detection using encrypted LTE/5G traffic”, and is released to support reproducibility and further exploration of mobile traffic analysis methods.

Fields



CaptureTime: Timestamp when the PDCP PDU was captured.

Direction: Transmission direction. `0` = Downlink, `1` = Uplink.

SequenceNumber: PDCP sequence number of the PDU.

Length: Size (in bytes) of the PDCP PDU.


Example



CaptureTime,Direction,SequenceNumber,Length2022-12-23 10:16:11.022517+00:00,0,0,602022-12-23 10:16:11.022574+00:00,0,1,602022-12-23 10:16:11.024118+00:00,1,0,622022-12-23 10:16:11.024340+00:00,1,1,622022-12-23 10:16:11.031566+00:00,0,2,12282022-12-23 10:16:11.031589+00:00,0,3,602022-12-23 10:16:11.031626+00:00,0,4,752022-12-23 10:16:11.032510+00:00,1,2,782022-12-23 10:16:11.035039+00:00,1,3,932022-12-23 10:16:11.039723+00:00,0,5,522022-12-23 10:16:11.039748+00:00,0,6,2822022-12-23 10:16:11.045482+00:00,1,4,542022-12-23 10:16:11.047603+00:00,0,7,522022-12-23 10:16:11.047639+00:00,0,8,282


Data Collection and Ethics

This dataset were collected by the authors in controlled experimental environments. Traffic was generated using our own testbed, where mobile applications were exercised through scripts with built-in randomness to ensure variability and unpredictability in usage patterns. Traffic related to interactive applications (e.g., games) was manually generated by the authors. All experiments were conducted using anonymous accounts created solely for data collection purposes. No real user accounts were involved. The dataset contains only PDCP-layer packet header metadata. No payload content, user identifiers, personal data, or application-level content is included. Consequently, the dataset does not contain any real user data and does not expose sensitive or private information.