cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bmhg27
title: Occurrence Download

description: A dataset containing 319 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)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Froelichia arizonica"
 ]
}

 The dataset includes 319 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023265-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jtgwee
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Physcia subalbinea",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023266-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fcnppa
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "Geometry POLYGON((49.64431 -10.43493,42.56519 -10.65017,41.32452 -20.95665,42.49221 -28.18441,50.15517 -29.84368,53.65824 -20.27358,55.11785 -13.14938,49.64431 -10.43493))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Galidia elegans",
 "Year 1990-2026"
 ]
}

 The dataset includes 200 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023267-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m2zhpu
title: Occurrence Download

description: A dataset containing 333940 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Diarsia rubi"
 ]
}

 The dataset includes 333940 records from 273 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023233-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmbbg5
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Hyloscirtus ptychodactylus"
 ]
}

 The dataset includes 27 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023268-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wast79
title: Occurrence Download

description: A dataset containing 1566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Physcia aipolia",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 1566 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023269-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhse2b
title: Occurrence Download

description: A dataset containing 56248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lampyris",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 56248 records from 846 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023241-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4zbsyf
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Omus submetallicus"
 ]
}

 The dataset includes 88 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002184-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.24hwrs
title: Occurrence Download

description: A dataset containing 320 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erythrospermum monticola"
 ]
}

 The dataset includes 320 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009124-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fe4ft7
title: Occurrence Download

description: A dataset containing 3185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pastinaca sativa",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3185 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009126-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qvtca
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ADW6325"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009125-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s2cccj
title: Occurrence Download

description: A dataset containing 536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cephalotaxus harringtonia"
 ]
}

 The dataset includes 536 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009128-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79s9f5
title: Occurrence Download

description: A dataset containing 287446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material citation, Material sample, Human Observation, Machine Observation, Occurrence evidence)",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Gastropoda, Bivalvia)"
 ]
}

 The dataset includes 287446 records from 232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009102-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hu73v9
title: Occurrence Download

description: A dataset containing 3639 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium pilosum"
 ]
}

 The dataset includes 3639 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009129-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5tz3qn
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erythroxylum macrocarpum"
 ]
}

 The dataset includes 40 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009131-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqsvh2
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Neotoma bunkeri"
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009133-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9zhz3
title: Occurrence Download

description: A dataset containing 574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Exochorda serratifolia"
 ]
}

 The dataset includes 574 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009135-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8jwbbz
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Garra kempi"
 ]
}

 The dataset includes 41 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009134-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sdsfgs
title: Occurrence Download

description: A dataset containing 19078 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Commelina diffusa"
 ]
}

 The dataset includes 19078 records from 673 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009130-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3e6fmh
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium praealtum"
 ]
}

 The dataset includes 189 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009136-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k94tqm
title: Occurrence Download

description: A dataset containing 291 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Torilis japonica",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 291 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009138-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ucg55
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((106.4791 0,192.35305 0,192.35305 82.6508,106.4791 82.6508,106.4791 0))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ziphius cavirostris"
 ]
}

 The dataset includes 154 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009137-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bp3hjw
title: Occurrence Download

description: A dataset containing 2838 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Clarkia purpurea subsp. quadrivulnera (Douglas) F.H.Lewis & M.E.Lewis)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2838 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088209-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8jh6hm
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Clarkia concinna subsp. raichei G.A.Allen, V.S.Ford & Gottlieb)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088210-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11826476
title: A systematic literature review on design typology of informal learning space in higher education
DOI: 10.5281/zenodo.11054420
title: A systematic literature review on design typology of informal learning space in higher education
DOI: 10.5281/zenodo.11102078
title: A systematic literature review on design typology of informal learning space in higher education
DOI: 10.5281/zenodo.11054419
title: A systematic literature review on design typology of informal learning space in higher education
DOI: 10.5281/zenodo.12194090
title: A systematic literature review on design typology of informal learning space in higher education
DOI: 10.15468/dl.gssh9p
title: Occurrence Download

description: A dataset containing 492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tetrapteron graciliflorum (Hook. & Arn.) W.L.Wagner & Hoch)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 492 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088211-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10884816
title: WiFeS observation of southern nearby Type Ia supernova host galaxies

description: This repository contains all the reduced and spatially-binned spectral data used in this work. Refer to the README for more detailed information.
DOI: 10.5281/zenodo.10884817
title: WiFeS observation of southern nearby Type Ia supernova host galaxies

description: This repository contains all the reduced and spatially-binned spectral data used in this work. Refer to the README for more detailed information.
DOI: 10.15468/dl.34qh3b
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "Country is Mexico",
 "TaxonKey is Leopardus pardalis pardalis"
 ]
}

 The dataset includes 146 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088212-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12194067
title: Musdb-XL-train

description: Here, we present the musdb-XL-train dataset for training De-Limiter networks.

 

%%% Important Notes (2024-06-21) %%%



We recently discovered some errors in the musdb-XL-train dataset. Specifically, about 7% of the training data (ozone_seg_0.wav ~ ozone_seg_20000.wav) had slight phase shift problems. If you are already using the musdb-XL-train dataset, please download the updated version. Sorry for the inconvenience. 


%%%%%%%%%%%%%%%%%%%%%%

 

 

The musdb-XL-train dataset consists of a limiter-applied 300,000 segments of 4-sec audio segments and the 100 original songs. For each segment, we randomly chose arbitrary segment in 4 stems (vocals, bass, drums, other) of musdb-HQ training subset and randomly mixed them. Then, we applied a commercial limiter plug-in to each stem.

 

Once you finish the download, you have to unzip it. The data is about 200~210GB so please be sure to make enough space.

Due to the copyright issue, the dataset contains the sample-wise gain parameters (in .npy files), instead of a wave file itself, to make each wave file of musdb-XL-train data from the musdb18-HQ dataset. You should first prepare the musdb18-HQ dataset (https://zenodo.org/record/3338373). With the musdb18-HQ and this downloaded data (.npy and .csv), run the data processing code in our GitHub (https://github.com/jeonchangbin49/De-limiter, Please check the 'Musdb-XL-train' section). Then, you can get the actual wave files of musdb-XL-train data. After finishing the data processing step, you can remove the "np_ratio" folder that contains the sample-wise gain ratio parameters but you should keep your csv files because they will be used in our training process. 

 

Notice that our previous musdb-XL (https://zenodo.org/record/7041331) data is an evaluation dataset, and musdb-XL-train is a training dataset.

 

--Dataset Construction

For a commercial limiter plug-in, we used the iZotope Ozone 9 Maximizer, following our previous work, musdb-XL, which is a mastering-finished (in terms of a limiter, not an EQ) version of musdb-HQ test subset.

The threshold parameters (related to the amount of a limiter operated) of the Ozone 9 Maximizer were chosen targeting the randomly selected loudness that sampled from the Gaussian distribution (mean -8, std 1). Parameters of the Gaussian distribution were selected following statistics of recent pop music (Refer the Table 1. of our previous paper, https://arxiv.org/abs/2208.14355).

The character parameters (related to the attack and release parameters) of the limiter were randomly sampled from the gamma distribution (a=2, scale=1, in https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.gamma.html). 

The information on random mix parameters (gain and channel swap) is contained as csv files in our dataset.
DOI: 10.5281/zenodo.8191152
title: Musdb-XL-train

description: Here, we present the musdb-XL-train dataset for training De-Limiter networks.

 

%%% Important Notes (2024-06-21) %%%



We recently discovered some errors in the musdb-XL-train dataset. Specifically, about 7% of the training data (ozone_seg_0.wav ~ ozone_seg_20000.wav) had slight phase shift problems. If you are already using the musdb-XL-train dataset, please download the updated version. Sorry for the inconvenience. 


%%%%%%%%%%%%%%%%%%%%%%

 

 

The musdb-XL-train dataset consists of a limiter-applied 300,000 segments of 4-sec audio segments and the 100 original songs. For each segment, we randomly chose arbitrary segment in 4 stems (vocals, bass, drums, other) of musdb-HQ training subset and randomly mixed them. Then, we applied a commercial limiter plug-in to each stem.

 

Once you finish the download, you have to unzip it. The data is about 200~210GB so please be sure to make enough space.

Due to the copyright issue, the dataset contains the sample-wise gain parameters (in .npy files), instead of a wave file itself, to make each wave file of musdb-XL-train data from the musdb18-HQ dataset. You should first prepare the musdb18-HQ dataset (https://zenodo.org/record/3338373). With the musdb18-HQ and this downloaded data (.npy and .csv), run the data processing code in our GitHub (https://github.com/jeonchangbin49/De-limiter, Please check the 'Musdb-XL-train' section). Then, you can get the actual wave files of musdb-XL-train data. After finishing the data processing step, you can remove the "np_ratio" folder that contains the sample-wise gain ratio parameters but you should keep your csv files because they will be used in our training process. 

 

Notice that our previous musdb-XL (https://zenodo.org/record/7041331) data is an evaluation dataset, and musdb-XL-train is a training dataset.

 

--Dataset Construction

For a commercial limiter plug-in, we used the iZotope Ozone 9 Maximizer, following our previous work, musdb-XL, which is a mastering-finished (in terms of a limiter, not an EQ) version of musdb-HQ test subset.

The threshold parameters (related to the amount of a limiter operated) of the Ozone 9 Maximizer were chosen targeting the randomly selected loudness that sampled from the Gaussian distribution (mean -8, std 1). Parameters of the Gaussian distribution were selected following statistics of recent pop music (Refer the Table 1. of our previous paper, https://arxiv.org/abs/2208.14355).

The character parameters (related to the attack and release parameters) of the limiter were randomly sampled from the gamma distribution (a=2, scale=1, in https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.gamma.html). 

The information on random mix parameters (gain and channel swap) is contained as csv files in our dataset.
DOI: 10.5281/zenodo.8191153
title: Musdb-XL-train

description: Here, we present the musdb-XL-train dataset for training De-limiter networks. The musdb-XL-train dataset consists of a limiter-applied 300,000 segments of 4-sec audio segments and the 100 original songs. For each segment, we randomly chose arbitrary segment in 4 stems (vocals, bass, drums, other) of musdb-HQ training subset and randomly mixed them. Then, we applied a commercial limiter plug-in to each stem. Once you finish the download, you have to unzip it. The data is about 200~210GB so please be sure to make enough space. Due to the copyright issue, the dataset contains the sample-wise gain parameters (in .npy files), instead of a wave file itself, to make each wave file of musdb-XL-train data from the musdb18-HQ dataset. You should first prepare the musdb18-HQ dataset (https://zenodo.org/record/3338373). With the musdb18-HQ and this downloaded data (.npy and .csv), run the data processing code in our GitHub (https://github.com/jeonchangbin49/De-limiter, Please check the 'Musdb-XL-train' section). Then, you can get the actual wave files of musdb-XL-train data. After finishing the data processing step, you can remove the "np_ratio" folder that contains the sample-wise gain ratio parameters but you should keep your csv files because they will be used in our training process. Notice that our previous musdb-XL (https://zenodo.org/record/7041331) data is an evaluation dataset, and musdb-XL-train is a training dataset. --Dataset Construction For a commercial limiter plug-in, we used the iZotope Ozone 9 Maximizer, following our previous work, musdb-XL, which is a mastering-finished (in terms of a limiter, not an EQ) version of musdb-HQ test subset. The threshold parameters (related to the amount of a limiter operated) of the Ozone 9 Maximizer were chosen targeting the randomly selected loudness that sampled from the Gaussian distribution (mean -8, std 1). Parameters of the Gaussian distribution were selected following statistics of recent pop music (Refer the Table 1. of our previous paper, https://arxiv.org/abs/2208.14355). The character parameters (related to the attack and release parameters) of the limiter were randomly sampled from the gamma distribution (a=2, scale=1, in https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.gamma.html). The information on random mix parameters (gain and channel swap) is contained as csv files in our dataset.