cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/independent-c69-23853
title: Summaries of and City Attorney recommendations for settlement cases (1-4 of 4), 1983 Dec. 19 - 1990 Dec. 11

description: Summaries of and City Attorney Recommendation for settlement cases (1-4 of 4), 1983 December 19 - 1990 December 11. PART OF A SERIES: Latham & Watkins researched a total of 83 civil litigation cases brought against the LAPD pertaining to excessive force and/or improper tactics to ascertain whether the Rodney King incident was in fact the aberration that Chief Daryl Gates described. Included in the series are several materials related to the firm’s investigation and final work product. Specifically, the series contains source materials related to the 83 cases that were studied. These materials include the firm’s own memoranda and notes, statistics on misconduct and police brutality, summaries of the selected cases, recommendations for settlement drafted by the Office of the City Attorney, docket cards, copies of settlement agreements, a master roster of officers named in the civil suits, and excerpts from officers’ personnel files. Also included are summaries of interviews held with police personnel and aggrieved citizens about their perception of problems within the LAPD.
DOI: 10.15468/dl.7kzj2n
title: Occurrence Download

description: A dataset containing 9394 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kniphofia Moench"
 ]
}

 The dataset includes 9394 records from 214 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004683-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lnnufs
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Guadua amplexifolia J.Presl",
 "Geometry POLYGON((-83.23 3.26,-83.23 20.35,-55.68 20.35,-55.68 3.26,-83.23 3.26))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 32 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000580-160430102343922/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqkxs5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Megangulus luteus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0190372-230224095556074/datasets/export for details.
DOI: 10.25549/independent-c69-23893
title: Summaries of and City Attorney recommendations for settlement cases (1-4 of 4), 1983 Dec. 19 - 1990 Dec. 11

description: Summaries of and City Attorney Recommendation for settlement cases (1-4 of 4), 1983 December 19 - 1990 December 11. PART OF A SERIES: Latham & Watkins researched a total of 83 civil litigation cases brought against the LAPD pertaining to excessive force and/or improper tactics to ascertain whether the Rodney King incident was in fact the aberration that Chief Daryl Gates described. Included in the series are several materials related to the firm’s investigation and final work product. Specifically, the series contains source materials related to the 83 cases that were studied. These materials include the firm’s own memoranda and notes, statistics on misconduct and police brutality, summaries of the selected cases, recommendations for settlement drafted by the Office of the City Attorney, docket cards, copies of settlement agreements, a master roster of officers named in the civil suits, and excerpts from officers’ personnel files. Also included are summaries of interviews held with police personnel and aggrieved citizens about their perception of problems within the LAPD.
DOI: 10.15468/dl.rv5gtg
title: Occurrence Download

description: A dataset listing the 62518 species recorded in GBIF matching the query:
{
 "Country" : [
 "is Greece"
 ]
}

 The dataset's 62518 records were derived from 1687 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004679-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u3pgd6
title: Occurrence Download

description: A dataset containing 896 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FSFN: Forest Soil Fauna Network: Diplopoda, Flanders Belgium"
 ]
}

 The dataset includes 896 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004469-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3uh67q
title: Occurrence Download

description: A dataset containing 3245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.73821 57.27566,-5.71301 57.27566,-5.71301 57.28909,-5.73821 57.28909,-5.73821 57.27566))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3245 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004648-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bedtc6
title: Occurrence Download

description: A dataset containing 0 records in GBIF matching the query:
SELECT
 occurrenceid,
 countrycode,
 taxonkey,
 "year"
FROM
 occurrence
WHERE
 occurrence.countrycode = 'CO'
 AND CAST(occurrence.taxonkey AS INTEGER) = 2486333
 AND occurrence."year" = 2025

 The dataset's 0 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004620-251009101135966/datasets/export for details.
DOI: 10.48323/fwvmz-nvd54
title: Spectral Data for "Application of MALDI TOF and DART Mass Spectrometry as Novel Tools for the Classification of Anaerobic Gut Fungi Strains "

description: Spectral Data are stored in 5 folders. The MALDI folder contains all MALDI files. The DART data is split into positive and negative ion mode and two Batches for the core Data set of one week old samples and an additional Batch called Robust for the 72h and > 3-week old samples. The continous numbering starts at 1 for both 1 week old batches, which means that spectrum 1 in the second Batch corresponds to spectrum 13, spectrum 2 to spectrum 14 etc. DART spectra are stored as triplicate measurements which were averaged for analysis.The labels are structured with the first entry denoting the age of the culture: 1M and 3W correspond to > 3-week old samples, 72 to 72 h old samples and no additional number to 1 week old samples. The letters P,Y and V stand for the strains: P - Pecoramyces ruminantium, V - ViSuPo = Ceacomyces communis, Y - Yodo3a = Anaeromyces mucronatus. The continous numbers represent the replicates of each strain. 

Unfortunately some files for Pecoramyces Batch1 have been corrupted and are not available anymore.
DOI: 10.48323/qstge-tp830
title: Spectral Data for "Application of MALDI TOF and DART Mass Spectrometry as Novel Tools for the Classification of Anaerobic Gut Fungi Strains "

description: Spectral Data are stored in 5 folders. The MALDI folder contains all MALDI files. The DART data is split into positive and negative ion mode and two Batches for the core Data set of one week old samples and an additional Batch called Robust for the 72h and > 3-week old samples. The continous numbering starts at 1 for both 1 week old batches, which means that spectrum 1 in the second Batch corresponds to spectrum 13, spectrum 2 to spectrum 14 etc. DART spectra are stored as triplicate measurements which were averaged for analysis.The labels are structured with the first entry denoting the age of the culture: 1M and 3W correspond to > 3-week old samples, 72 to 72 h old samples and no additional number to 1 week old samples. The letters P,Y and V stand for the strains: P - Pecoramyces ruminantium, V - ViSuPo = Ceacomyces communis, Y - Yodo3a = Anaeromyces mucronatus. The continous numbers represent the replicates of each strain. 

Unfortunately some files for Pecoramyces Batch1 have been corrupted and are not available anymore.
DOI: 10.14749/28623152
title: Non-communicable disease screening and HIV testing and counselling in rural KwaZulu-Natal, South Africa (NCD) 2015

description: &lt;p&gt; The data set includes information on anthropometry, mental health, general health state, blood pressure, LDL Cholesterol, Rapid Glucose Assessment, pulse, Working memory, NCD risk factors, chronic condition and health service coverage and health care utilisation.&lt;/p&gt;&lt;p&gt; The data set consists of 587 cases and 227 variables.&lt;/p&gt;
DOI: 10.6084/m9.figshare.25187756
title: Code and selected data for article "Choosing blocks for spatial cross-validation: Lessons from a marine remote sensing case study"

description: Code and selected data for testing how much block size, shape, number of folds, and other factors affect error estimates from spatial block cross-validation. Supplement to the article: Stock, A. (2925). Choosing blocks for spatial cross-validation: Lessons from a marine remote sensing case study. Frontiers in Remote Sensing, DOI: 10.3389/frsen.2025.1531097.
DOI: 10.15468/dl.vwt73g
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lucilla scintilla (R.T.Lowe, 1852))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 89 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016473-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3f9bn
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Czechia",
 "TaxonKey is Campanula barbata L."
 ]
}

 The dataset includes 119 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016472-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zecxrw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Beckerina setifrons Borgmeier, 1969",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016474-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jayzut
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lucilla singleyana (Pilsbry, 1889))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 100 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016475-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14958967
title: simulated data from:MILP: a meta learning-based interpretable deep learning framework for multi-omics genomic prediction

description: This simulation dataset was used for MILP: a meta Learning-Based interpretable deep learning framework for multi-omics genomic prediction The dataset encompasses simulated data pertaining to six distinct scenarios. These six simulated scenarios are elaborated as follows: scenarios characterized by heritabilities of 0.1 (h2=0.1) and 0.3 (h2=0.3), along with the presence of 100 (QTL100), 150 (QTL150), and 200 (QTL200) Quantitative Trait Loci (QTLs).

The six sets of simulated data are respectively housed in two folders, namely simulated_data1-3-5 and simulated_data2-4-6. The folder simulated_data1-3-5 contains three files, corresponding to the simulated data for a heritability of 0.1 and QTL numbers of 100, 150, and 200 respectively. In contrast, the folder simulated_data2-4-6 contains the simulated data for a heritability of 0.3 and QTL numbers of 100, 150, and 200. The sequential numbering is presented as follows:




QTLs h2
0.1
0.3


100


simulated_data_1



simulated_data_2



150


simulated_data_3



simulated_data_4



200


simulated_data_5



simulated_data_6





Each simulated data file contains genotype data and phenotype data. For more information about the simulated data, please refer to the research of "MILP: a meta learning-based interpretable deep learning framework for multi-omics genomic prediction".

In the content format of the file, the first line is the ID number of the individual, the second line is the corresponding phenotypic value of the individual. Starting from the third line, it is the genotype data, which is stored in the format of 0, 1, and 2. Among them, "0" represents the homozygous reference genotype, that is, both alleles are the reference sequence; "1" represents the heterozygous genotype, which contains one reference allele and one variant allele; "2" corresponds to the homozygous variant genotype, where both alleles are in the variant form.

All six simulated data files are stored in the above format.

The QMSim folder contains parameter card files corresponding to the respective file names. The corresponding output files can be generated by executing these parameter cards in the QMSim software.
DOI: 10.5281/zenodo.14958968
title: simulated data from:MILP: a meta learning-based interpretable deep learning framework for multi-omics genomic prediction

description: This simulated dataset is applied to the research of "MILP: A Meta - Learning - Based Interpretable Deep Learning Framework for Multi - omics Genomic Prediction". The dataset encompasses simulated data under six different scenarios, which are as follows: scenarios with heritabilities of 0.1 (h2=0.1)) and 0.3 (h2=0.3) respectively, and scenarios involving 100 (QTL100), 150 (QTL150), and 200 (QTL200) Quantitative Trait Loci (QTLs).

The six sets of simulated data are respectively housed in two folders, namely simulated_data1 - 3 and simulated_data4 - 6. The folder simulated_data1 - 3 contains three files, corresponding to the simulated data for a heritability of 0.1 and QTL numbers of 100, 150, and 200 respectively. In contrast, the folder simulated_data4 - 6 contains the simulated data for a heritability of 0.3 and QTL numbers of 100, 150, and 200.




QTLs h2
0.1
0.3


100
simulated_data_1
simulated_data_4


150
simulated_data_2
simulated_data_5


200
simulated_data_3
simulated_data_6




Each simulated data file contains genotype data and phenotype data. For more information about the simulated data, please refer to the research of "MILP: a meta learning-based interpretable deep learning framework for multi-omics genomic prediction".

In the content format of the file, the first line is the ID number of the individual, the second line is the corresponding phenotypic value of the individual. Starting from the third line, it is the genotype data, which is stored in the format of 0, 1, and 2. Among them, "0" represents the homozygous reference genotype, that is, both alleles are the reference sequence; "1" represents the heterozygous genotype, which contains one reference allele and one variant allele; "2" corresponds to the homozygous variant genotype, where both alleles are in the variant form.

All six simulated data files are stored in the above format.
DOI: 10.5281/zenodo.14959434
title: simulated data from:MILP: a meta learning-based interpretable deep learning framework for multi-omics genomic prediction

description: This simulation dataset was used for MILP: a meta Learning-Based interpretable deep learning framework for multi-omics genomic prediction The dataset encompasses simulated data pertaining to six distinct scenarios. These six simulated scenarios are elaborated as follows: scenarios characterized by heritabilities of 0.1 (h2=0.1) and 0.3 (h2=0.3), along with the presence of 100 (QTL100), 150 (QTL150), and 200 (QTL200) Quantitative Trait Loci (QTLs).

The six sets of simulated data are respectively housed in two folders, namely simulated_data1-3-5 and simulated_data2-4-6. The folder simulated_data1-3-5 contains three files, corresponding to the simulated data for a heritability of 0.1 and QTL numbers of 100, 150, and 200 respectively. In contrast, the folder simulated_data2-4-6 contains the simulated data for a heritability of 0.3 and QTL numbers of 100, 150, and 200. The sequential numbering is presented as follows:




QTLs h2
0.1
0.3


100


simulated_data_1



simulated_data_2



150


simulated_data_3



simulated_data_4



200


simulated_data_5



simulated_data_6





Each simulated data file contains genotype data and phenotype data. For more information about the simulated data, please refer to the research of "MILP: a meta learning-based interpretable deep learning framework for multi-omics genomic prediction".

In the content format of the file, the first line is the ID number of the individual, the second line is the corresponding phenotypic value of the individual. Starting from the third line, it is the genotype data, which is stored in the format of 0, 1, and 2. Among them, "0" represents the homozygous reference genotype, that is, both alleles are the reference sequence; "1" represents the heterozygous genotype, which contains one reference allele and one variant allele; "2" corresponds to the homozygous variant genotype, where both alleles are in the variant form.

All six simulated data files are stored in the above format.
DOI: 10.5281/zenodo.15049776
title: simulated data from:MILP: a meta learning-based interpretable deep learning framework for multi-omics genomic prediction

description: This simulation dataset was used for MILP: a meta Learning-Based interpretable deep learning framework for multi-omics genomic prediction The dataset encompasses simulated data pertaining to six distinct scenarios. These six simulated scenarios are elaborated as follows: scenarios characterized by heritabilities of 0.1 (h2=0.1) and 0.3 (h2=0.3), along with the presence of 100 (QTL100), 150 (QTL150), and 200 (QTL200) Quantitative Trait Loci (QTLs).

The six sets of simulated data are respectively housed in two folders, namely simulated_data1-3-5 and simulated_data2-4-6. The folder simulated_data1-3-5 contains three files, corresponding to the simulated data for a heritability of 0.1 and QTL numbers of 100, 150, and 200 respectively. In contrast, the folder simulated_data2-4-6 contains the simulated data for a heritability of 0.3 and QTL numbers of 100, 150, and 200. The sequential numbering is presented as follows:




QTLs h2
0.1
0.3


100


simulated_data_1



simulated_data_2



150


simulated_data_3



simulated_data_4



200


simulated_data_5



simulated_data_6





Each simulated data file contains genotype data and phenotype data. For more information about the simulated data, please refer to the research of "MILP: a meta learning-based interpretable deep learning framework for multi-omics genomic prediction".

In the content format of the file, the first line is the ID number of the individual, the second line is the corresponding phenotypic value of the individual. Starting from the third line, it is the genotype data, which is stored in the format of 0, 1, and 2. Among them, "0" represents the homozygous reference genotype, that is, both alleles are the reference sequence; "1" represents the heterozygous genotype, which contains one reference allele and one variant allele; "2" corresponds to the homozygous variant genotype, where both alleles are in the variant form.

All six simulated data files are stored in the above format.

The QMSim folder contains parameter card files corresponding to the respective file names. The corresponding output files can be generated by executing these parameter cards in the QMSim software.
DOI: 10.5281/zenodo.15048704
title: The extensive data on the oil content and fatty acid composition of rapeseed populations from multiple regions and various time periods

description: To date, we have collected extensive data on the oil content and fatty acid composition of rapeseed populations from multiple regions and various time periods. The data were gathered in Wuhan (2016–2019, 4 years), Ezhou (2017–2019, 3 years), Hefei (2017–2018, 2 years), Lanzhou (2018–2019, 2 years), Chengdu (2017), and Kunming (2018). The table below provides detailed information on each population along with their corresponding phenotypic data (categorized by storage location), with the numbers representing the percentage of each component in the total composition. Moreover, all data are openly shared under the Creative Commons Attribution-NonCommercial 4.0 International License, and we welcome researchers to use and exchange these data.
DOI: 10.5281/zenodo.15048705
title: The extensive data on the oil content and fatty acid composition of rapeseed populations from multiple regions and various time periods

description: To date, we have collected extensive data on the oil content and fatty acid composition of rapeseed populations from multiple regions and various time periods. The data were gathered in Wuhan (2016–2019, 4 years), Ezhou (2017–2019, 3 years), Hefei (2017–2018, 2 years), Lanzhou (2018–2019, 2 years), Chengdu (2017), and Kunming (2018). The table below provides detailed information on each population along with their corresponding phenotypic data (categorized by storage location), with the numbers representing the percentage of each component in the total composition. Moreover, all data are openly shared under the Creative Commons Attribution-NonCommercial 4.0 International License, and we welcome researchers to use and exchange these data.
DOI: 10.15468/dl.npyvbb
title: Occurrence Download

description: A dataset containing 1899 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Paralaoma servilis (Shuttleworth, 1852))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1899 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016476-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n6pnzj
title: Occurrence Download

description: A dataset containing 2157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barynotus obscurus (Fabricius, 1775)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2157 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016477-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.