cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.90782
title: Age model of sediment core GeoB4205-2
DOI: 10.1594/pangaea.90784
title: Age model of sediment core GeoB4209-2
DOI: 10.1594/pangaea.89540
title: Age model of sediment core GeoB5560-1
DOI: 10.1594/pangaea.89555
title: Age model of sediment core GeoB5537-3
DOI: 10.1594/pangaea.89541
title: Age model of sediment core GeoB5561-2
DOI: 10.1594/pangaea.89542
title: Age model of sediment core GeoB6006-1
DOI: 10.1594/pangaea.89543
title: Age model of sediment core GeoB6011-1
DOI: 10.1594/pangaea.89530
title: Age model of sediment core GeoB5536-2
DOI: 10.1594/pangaea.89556
title: Age model of sediment core GeoB5551-3
DOI: 10.1594/pangaea.89532
title: Age model of sediment core GeoB5538-1
DOI: 10.1594/pangaea.89533
title: Age model of sediment core GeoB5540-2
DOI: 10.1594/pangaea.89534
title: Age model of sediment core GeoB5541-4
DOI: 10.1594/pangaea.89535
title: Age model of sediment core GeoB5545-1
DOI: 10.1594/pangaea.89536
title: Age model of sediment core GeoB5547-3
DOI: 10.1594/pangaea.89537
title: Age model of sediment core GeoB5548-2
DOI: 10.1594/pangaea.89538
title: Age model of sediment core GeoB5549-3
DOI: 10.1594/pangaea.788674
title: (Table 1) Varimax loadings matrix (rotation: varimax normalized)

description: Factor scores for analysis on 390 samples using 29 diatom taxa with average abundance &gt;=1.0% of total diatom assemblage at site GeoB10038-4 for the last 130 ka.
DOI: 10.1594/pangaea.788544
title: Relative abundance of birds observed in plots in Granada, Colombia
DOI: 10.1594/pangaea.863014
title: Sea surface temperature reconstruction based on TEX86 for sediment core TTR12_293G
DOI: 10.1594/pangaea.57967
title: Satellite data
DOI: 10.5281/zenodo.15009193
title: 보조 정리

description: 고정점 이용 가상집합 바탕 수식제거 기법 외 연관성 분석:

쿼터니언과 막대 - 슬롯 기법 이용 호지 추측 증명과 푸앵카레 증명, 모듈러 회전 막대 - 슬롯 기법 이용 P=NP 증명, 모듈러와 소수 이용 FLT, 밀도함수 리만가설 증명

 

참고:

고정값을 통한 다양한 문제에서 접근 통합법

https://doi.org/10.5281/zenodo.14929646

모듈러 페르마

https://doi.org/10.5281/zenodo.14948156

https://zenodo.org/records/15015283/files/%EB%AA%A8%EB%93%88%EB%9F%AC%20%EC%97%B0%EA%B2%B0.docx?download=1(회전축과 알고리즘 결합 문서에 모듈러 개념 추가)

모듈러 관련 P=NP 관련 호지추측

https://doi.org/10.5281/zenodo.15015555

모듈러 P=NP에 다방면 해석 변형 연산자 적용

Lee, S. (2025). 미래와 연락하는 법 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14959626

https://doi.org/10.5281/zenodo.15022226(자료 확인 (1) 문서에 기저(고정값 해석)과 모듈러 개념 추가)

기저 이론

https://zenodo.org/records/14929646

프로토콜:

가상집합을 이용한 불필요 조건 배제; 수식 제거; 수열 수렴 및 고정점 적용; 기저 이론, 남은 원소의 집합과 가상집합 일치
DOI: 10.5281/zenodo.15009194
title: 보조 정리

description: 고정점 이용 가상집합 바탕 수식제거 기법 외 연관성 분석:

쿼터니언과 막대 - 슬롯 기법 이용 호지 추측 증명과 푸앵카레 증명, 모듈러 회전 막대 - 슬롯 기법 이용 P=NP 증명, 모듈러와 소수 이용 FLT, 밀도함수 리만가설 증명

 

참고:

고정값을 통한 다양한 문제에서 접근 통합법

https://doi.org/10.5281/zenodo.14929646

모듈러 페르마

https://doi.org/10.5281/zenodo.14948156

https://zenodo.org/records/15015283/files/%EB%AA%A8%EB%93%88%EB%9F%AC%20%EC%97%B0%EA%B2%B0.docx?download=1(회전축과 알고리즘 결합 문서에 모듈러 개념 추가)

모듈러 관련 P=NP 관련 호지추측

https://doi.org/10.5281/zenodo.15015555

모듈러 P=NP에 다방면 해석 변형 연산자 적용

Lee, S. (2025). 미래와 연락하는 법 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14959626

https://doi.org/10.5281/zenodo.15022226(자료 확인 (1) 문서에 기저(고정값 해석)과 모듈러 개념 추가)

기저 이론

https://zenodo.org/records/14929646

프로토콜:

가상집합을 이용한 불필요 조건 배제; 수식 제거; 수열 수렴 및 고정점 적용; 기저 이론, 남은 원소의 집합과 가상집합 일치
DOI: 10.5281/zenodo.15009152
title: P-NP
DOI: 10.5281/zenodo.15009153
title: P-NP
DOI: 10.5281/zenodo.15106597
title: 공통 기법
DOI: 10.5281/zenodo.15106598
title: 공통 기법
DOI: 10.5281/zenodo.15012877
title: 호지 추측의 완전한 증명
DOI: 10.5281/zenodo.15012878
title: 호지 추측의 완전한 증명
DOI: 10.15468/dl.5ty5xn
title: Occurrence Download

description: A dataset containing 71205 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chelydridae",
 "Year 2000-2025"
 ]
}

 The dataset includes 71205 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003792-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15779219
title: Sea ice age and thickness in the Arctic

description: 1. File: iceage_thick_YYMMDD.txt (arcticdata.zip)

 

Description:

Daily sea ice age and thickness data for the entire Northern Hemisphere.

The data were derived from the thermodynamic history of sea ice, estimated using satellite microwave radiometer observations (AMSR-E / AMSR2).

See Kimura and Hasumi (submitted:https://egusphere.copernicus.org/preprints/2025/egusphere-2025-3286/) for details of the calculation method.

 

Grid:

Polar stereographic projection, 900 × 900 grid points at 10 km resolution.

 

File naming:

YYMMDD in the filename indicates the year, month, and day.

 

Format:

Plain text file with 900 × 900 lines.

Each line contains:

 

latitude (N), longitude (E), oldest sea ice age (days), mean sea ice age (days), sea ice thickness (m)

Coverage:

365 daily files for the year 2021.

 

---

 

2. File: iceage_thick_wh*.txt (beaufortdata.zip)

 

Description:

Time series of sea ice thickness at mooring sites A (75°N, 150°W), B (78°N, 150°W), and D (74°N, 140°W) of the Beaufort Gyre Exploration Project

(https://www2.whoi.edu/site/beaufortgyre/).

Sea ice thickness was estimated following the method of Kimura and Hasumi (submitted).

 

File naming:

* is replaced by a, b, or d, corresponding to mooring sites A, B, and D respectively.

 

Format:

Plain text file with 2,435 lines (one per day).

 

Each line contains:

 

year, month, day, sea ice thickness (m), mean sea ice age (days)

Coverage:

31 July 2016 to 31 March 2023.
DOI: 10.5281/zenodo.15779220
title: Sea ice age and thickness in the Arctic

description: 1. File: iceage_thick_YYMMDD.txt (arcticdata.zip)

 

Description:

Daily sea ice age and thickness data for the entire Northern Hemisphere.

The data were derived from the thermodynamic history of sea ice, estimated using satellite microwave radiometer observations (AMSR-E / AMSR2).

See Kimura and Hasumi (submitted:https://egusphere.copernicus.org/preprints/2025/egusphere-2025-3286/) for details of the calculation method.

 

Grid:

Polar stereographic projection, 900 × 900 grid points at 10 km resolution.

 

File naming:

YYMMDD in the filename indicates the year, month, and day.

 

Format:

Plain text file with 900 × 900 lines.

Each line contains:

 

latitude (N), longitude (E), oldest sea ice age (days), mean sea ice age (days), sea ice thickness (m)

Coverage:

365 daily files for the year 2021.

 

---

 

2. File: iceage_thick_wh*.txt (beaufortdata.zip)

 

Description:

Time series of sea ice thickness at mooring sites A (75°N, 150°W), B (78°N, 150°W), and D (74°N, 140°W) of the Beaufort Gyre Exploration Project

(https://www2.whoi.edu/site/beaufortgyre/).

Sea ice thickness was estimated following the method of Kimura and Hasumi (submitted).

 

File naming:

* is replaced by a, b, or d, corresponding to mooring sites A, B, and D respectively.

 

Format:

Plain text file with 2,435 lines (one per day).

 

Each line contains:

 

year, month, day, sea ice thickness (m), mean sea ice age (days)

Coverage:

31 July 2016 to 31 March 2023.
DOI: 10.15468/dl.fsjh9n
title: Occurrence Download

description: A dataset containing 1126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Chinese Taipei, China, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Zanthoxylum ailanthoides"
 ]
}

 The dataset includes 1126 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003805-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6u34d3
title: Occurrence Download

description: A dataset containing 929792 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Year 2003-2018"
 ]
}

 The dataset includes 929792 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003799-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pabvyw
title: Occurrence Download

description: A dataset containing 26854 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lontra canadensis"
 ]
}

 The dataset includes 26854 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003807-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9dvm82
title: Occurrence Download

description: A dataset containing 310 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-119.66093 12.56143,-84.80924 12.56143,-84.80924 34.01342,-119.66093 34.01342,-119.66093 12.56143))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Abies flinckii"
 ]
}

 The dataset includes 310 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003808-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fr79y2
title: Occurrence Download

description: A dataset containing 8233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Metasequoia Hu & W.C.Cheng"
 ]
}

 The dataset includes 8233 records from 399 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013673-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5eafr
title: Occurrence Download

description: A dataset containing 10349 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Platycerium Desv."
 ]
}

 The dataset includes 10349 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013674-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxy5ye
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phaius wenshanensis"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049258-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5mew7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Philadelphus inodorus",
 "Country is Armenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049259-250811113504898/datasets/export for details.
DOI: 10.15468/dl.ez6c7w
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Philadelphus inodorus",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049260-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7c9vjv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathytroctes microlepis Günther, 1878",
 "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 ((7.2551 0.4095,6.9596 0.8334,6.5492 0.9061,6.0738 0.5779,5.9713 0.201,6.1078 -0.2929,6.5348 -0.5139,7.0629 -0.1853,7.2551 0.4095))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010585-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15555523
title: MethAgingDB: a comprehensive DNA methylation database for aging biology

description: Accurately quantifying biological age is crucial for understanding the mechanisms of aging and developing effective interventions. Molecular aging clocks, particularly epigenetic clocks that use DNA methylation data to estimate biological age, have become essential tools in this area of research. However, the lack of a comprehensive, publicly accessible database with uniformly formatted DNA methylation datasets across various ages and tissues complicates the investigation of epigenetic clocks. Researchers face significant challenges in locating relevant datasets, accessing key information from raw data, and managing inconsistent data formats and metadata annotations. Additionally, there is a lack of dedicated resources for aging-related differentially methylated sites (DMSs, also named differentially methylated positions or differentially methylated cytosines) and regions (DMRs), which hinders progress in understanding the epigenetic mechanisms of aging. To address these challenges, we developed MethAgingDB, a comprehensive DNA methylation database for aging biology. MethAgingDB includes 93 datasets, with 11474 profiles from 13 distinct human tissues and 1361 profiles from 9 distinct mouse tissues. The database provides preprocessed DNA methylation data in a consistent matrix format, along with tissue-specific DMSs and DMRs, gene-centric aging insights, and an extensive collection of epigenetic clocks. Together, MethAgingDB is expected to streamline aging-related epigenetic research and support the development of robust, biologically informed aging biomarkers.
DOI: 10.15468/dl.939422
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron megalanthum M.Y.Fang"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001141-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6byzu
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rhododendron trilectorum Cowan"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001140-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4qeuzr
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rhododendron maoerense D.Fang & Q.Z.Li"
 ]
}

 The dataset includes 24 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001142-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c8v8h3
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Imperata cylindrica",
 "HasCoordinate is true",
 "Country is Brazil"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024619-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.869767
title: Berlin Climate Record - Daily Mean Temperature - Inner City - 1766-1934

description: Berlin has one of the longest climate records in the world (Cubasch and Kadow, 2011). In the 17th century mainly the family of the astronomer Kirch started measuring the temperature and wrote down general weather patterns. In the beginning of the 18th century the measurements became more regular including multiple measures per day. Over time, more inner city stations appeared but also disappeared. Therefore, this Berlin Climate Record is a moving station, but representable for the inner city of Berlin. Many approaches were combining these datasets including bias correction efforts. With this dataset from 01.01.1766 to 31.12.1934 we reactivate the long inner city temperature record. In this study, we digitized, analyzed, and corrected the data set on the daily time frequency. The dataset has been reconstructed from: "Das Klima von Berlin (II) Temperatur - Abh. des Met. Dienstes der DDR Nr. 103, Band XIII, Akademie-Verlag 1971"
description: Air temperature in °C was corrected at the following dates:1767-11-03 - Original: 1.7 - Now: 11.4 - Reason: Print Error1786-03-08 - Original: 4.3 - Now: -4.3 - Reason: Missing minus1823-01-01 - Original: 13.0 - Now: -13.0 - Reason: Missing minus1850-09-04 - Original: 1.4 - Now: 11.4 - Reason: Print Error1888-03-30 - Original: 0.3 - Now: 10.3 - Reason: Print Error1903-03-25 - Original: 0.6 - Now: 10.6 - Reason: Print Error1914-05-15 - Original: 10.8 - Now 16.8 - Reason: Typing Error1917-01-12 - Original: 1.4 - Now: -1.4 - Reason: Missing Minus1919-06-23 - Original: 16.5 - Now: 6.5 - Reason: Typing Error1926-04-28 - Original: 10.5 - Now: 5.8 - Reason: Order Error1926-04-29 - Original: 8.1 - Now: 10.5 - Reason: Order Error1926-04-30 - Original: 5.8 - Now: 8.1 - Reason: Order Error1928-02-26 - Original: 2.5 - Now: 5.5 - Reason: Typing Error1932-07-20 - Original: 25.8 - Now: 15.8 - Reason: Typing ErrorRange and plausablity checks were done and a re-check with the Dahlem temperature record in the time range of 1908-04-01 to 1934-12-31 was possible. To keep the record pure and raw as it was, in this study no additional bias correction method was applied.
DOI: 10.1594/pangaea.870861
title: Berlin Climate Record - Daily Precipitation - Inner City - 1876-1908

description: Berlin has one of the longest climate records in the world (Cubasch and Kadow, 2011). In the 17th century mainly the family of the astronomer Kirch started measuring the temperature and wrote down general weather patterns. In the beginning of the 18th century the measurements became more regular including multiple measures per day. Over time, more inner city stations appeared but also disappeared. Therefore, this Berlin Climate Record is a moving station, but representable for the inner city of Berlin. Many approaches were combining these datasets including bias correction efforts. With this dataset from 1876-01-01 to 1908-12-31 we reactivate the long inner city precipitation record, related to Kadow et al. 2016. In this study, we digitized, analyzed, and corrected the precipitation data set on the daily time frequency. The dataset has been reconstructed from: "Das Klima von Berlin (III) Niederschlag, Luftfeuchtigkeit, Dampfdruck, Bewölkung, Sonnenscheindauer, Wind, Luftdruck - Abh. des Met. Dienstes der DDR Nr. 118, Band XV, Akademie-Verlag 1976".
description: Total daily precipitation in mm was corrected at all dates where the data set showed "-" or "0" mm. The "-" was meant to be for no rain at all. The "0" was meant to be for very small amounts of precipitation. Due to data standards, we changed the NAN value "-" to "0", and the the "0" to "0.01" to account for small amounts and the related rainy days. Range and plausibility checks were done. No actual values were changed. To keep the record pure and raw as it was, in this study no additional bias correction method was applied.
DOI: 10.5281/zenodo.15471679
title: Synthetic XES files with increasing sizes
DOI: 10.5281/zenodo.15471680
title: Synthetic XES files with increasing sizes
DOI: 10.6084/m9.figshare.29108477
title: NU1 Chipseq

description: bigwig files chipseq data
DOI: 10.15468/dl.qw58gy
title: Occurrence Download

description: A dataset containing 64760 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Knautia arvensis (L.) Coult.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 64760 records from 241 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009781-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.975276
title: P-wave velocity of discrete samples (DPW) from IODP Hole 386-M0083A

description: P-wave velocity data from discrete samples from the above given hole of International Ocean Discovery Program (IODP) Expedition 386 (Japan Trench Paleoseismology). During the onshore phase of expedition 386, which took place between 2022-02-14 – 2022-03-15 onboard D/V Chikyu, discrete samples for P-wave velocity measurements were taken from the work halves approx. every 2 meter down core using syringes with an inner diameter of 2 cm. Samples measured 2.5–3 cm long for a sample volume of ~10 cubic centimetres. Samples were then shipped to the European Petrophysics Consortium (EPC) laboratory at the University of Leicester (UK) for processing. Measurements were performed with a Geotek P-wave logger for discrete samples (PWL-D). Measurements were attempted for each sample, however, the unconsolidated lithology of some samples proved unsuitable for the instrument (e.g. too soupy or too friable to be placed between the transducers).Operator notes: Data from section numbers &gt; 30 can be associated to a decrease in velocity values, this is likely due to cracks opening in the samples when applying pressure on it at the time of measurement (as observed by operators). For holes M0081E & F Sections 1-29 velocity values are overestimated due to an issue with the calibration.For further methodological information see methods chapter in Strasser, M. et al., 2023 https://doi.org/10.14379/iodp.proc.386.102.2023
description: Data was submitted and proofread by Vera Barbara Bender, MARUM - Center for Marine Environmental Sciences (University Bremen) on behalf of ECORD Science Operator Data Management (https://www.ecord.org).