cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tve4er
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Gerbillus occiduus Lay, 1975",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033087-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29278988
title: The U-Pb detrital zircon database, cathodoluminescence images, and quantitative results of Quaternary sediments in the Hailar Basin

description: This dataset comprises detrital zircon U-Pb geochronology data, cathodoluminescence (CL) images, and inverse Monte Carlo modeling-based quantitative provenance reconstruction results for both the Hailar Formation strata and modern aeolian sands within the Hailar Basin.
DOI: 10.6084/m9.figshare.29278988.v1
title: The U-Pb detrital zircon database, cathodoluminescence images, and quantitative results of Quaternary sediments in the Hailar Basin

description: This dataset comprises detrital zircon U-Pb geochronology data, cathodoluminescence (CL) images, and inverse Monte Carlo modeling-based quantitative provenance reconstruction results for both the Hailar Formation strata and modern aeolian sands within the Hailar Basin.
DOI: 10.15468/dl.ruztcw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heleophryne purcelli Sclater, 1898",
 "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 ((27.1332 -20.158,25.5395 -23.2724,25.5395 -24.0715,30.5701 -24.0715,30.5701 -20.3186,29.6496 -19.6123,28.947 -19.4003,28.1821 -19.4609,27.6072 -19.7214,27.1332 -20.158))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033088-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15630847
title: Insulin analog molecular dynamics simulations

description: Simulation data used for the publication: "NMR-Derived Salt Bridges in Insulin Analog: Resolving Artifactual Overbinding in Molecular Dynamics via Charge Scaling".

1. LHis-B24-insulin



AMBER-NOE (New NMR ensembles generated via NOE-restrained MD using AMBER package)

GROMACS-noNOE (unrestrained MD using GROMACS package) 


for six force fields of ff19SB TIP3P, C36m TIP3P, prosECCo75 TIP3P, ff19SB SPC/E, C36m SPC/E, and prosECCo75 SPC/E.

2. Umbrella-sampling



ff19SB TIP3P

C36m TIP3P

prosECCo75 TIP3P

ff19SB SPC/E

C36m SPC/E

prosECCo75 SPC/E
DOI: 10.5281/zenodo.15630848
title: Insulin analog molecular dynamics simulations

description: Simulation data used for the publication: "NMR-Derived Salt Bridges in Insulin Analog: Resolving Artifactual Overbinding in Molecular Dynamics via Charge Scaling".

1. LHis-B24-insulin



AMBER-NOE (New NMR ensembles generated via NOE-restrained MD using AMBER package)

GROMACS-noNOE (unrestrained MD using GROMACS package) 


for six force fields of ff19SB TIP3P, C36m TIP3P, prosECCo75 TIP3P, ff19SB SPC/E, C36m SPC/E, and prosECCo75 SPC/E.

2. Umbrella-sampling



ff19SB TIP3P

C36m TIP3P

prosECCo75 TIP3P

ff19SB SPC/E

C36m SPC/E

prosECCo75 SPC/E
DOI: 10.6084/m9.figshare.29246210.v8
title: Anvi'o databases

description: Intermediary files and outputs associated with the manuscript titled "<b>Assemblies of long-read metagenomes suffer from diverse errors</b>" by Florian Trigodet et al.Description of content: Anvi'o contigs and profile database of each assembly and the associated mapped long reads.
DOI: 10.5281/zenodo.15610451
title: Data from: Performer and Subgenre Conditioned Generation of Jazz Piano Music

description: This data accompanies our paper "Performer and Subgenre Conditioned Generation of Jazz Piano Music". For more information, see our code repository.

Downloading

This metadata is provided for academic research purposes only and the material contained within it should not be used for any commercial purpose under the terms of the CC BY-NC-SA license. Access will only be granted for research projects, and potential users of the data must apply for access. These requests are checked manually: please do not fill in the form multiple times, we will aim to grant you access as soon as possible.

After you have been granted access, you will be able to download a single `.zip` file that has the same structure as our code repository. The `.zip` file contains all of the MIDI files and metadata used to train our model, as well as checkpoints for the pre-trained and fine-tuned model, and the model trained with reinforcement learning.

You should first clone our repository, then extract the zip file into the root directory. You should end up with the following file structure.

.└── jazz-style-conditioned-generation/    ├── checkpoints/    │   ├── finetuning-customtok-plateau/    # pretrained on ATEPP    │   │   └── finetuning_customtok_10msmin***/    │   │       ├── tokenizer.json    # dumped tokenizer configuration      │   │       └── validation_best.pth    # pytorch model    │   ├── pretraining-custom-tokenizer-fixed-preprocessing    # finetuned on jazz    │   │   └── pretraining_customtok_10msmin***/    │   └── reinforcement-customtok-plateau    # finetuned + DPO-P    ├── config/    # same file structure as `checkpoints/`    │   ├── finetuning-customtok-plateau/    # individual folders per experiment    │   │   └── finetuning_customtok_10msmin***.yaml    # individual .yaml files per run    │   ├── pretraining-custom-tokenizer-fixed-preprocessing    │   │   └── ***.yaml     │   └── reinforcement-customtok-plateau    │   │   └── ***.yaml     ├── data/    │   ├── pretraining/    │   │   └── atepp/    │   │       ├── one_folder_per_recording/    │   │       └── ...    │   └── raw/    # one folder per source dataset    │       ├── bushgrafts    │       ├── jja    │       ├── jtd/    │       │   ├── one_folder_per_recording/    # all recordings have the same directory structure    │       │   │   ├── piano_midi.mid    # raw MIDI data    │       │   │   └── metadata_tivo.json    # scraped TiVo metadata    │       │   └── ...    │       ├── pijama    │       └── pianist8    └── README.md     # --> you are here!

For more information on how to use this data to reproduce our training results or run inference, see the README.
DOI: 10.5281/zenodo.15610452
title: Data from: Performer and Subgenre Conditioned Generation of Jazz Piano Music

description: This data accompanies our paper "Performer and Subgenre Conditioned Generation of Jazz Piano Music". For more information, see our code repository.

Downloading

This metadata is provided for academic research purposes only and the material contained within it should not be used for any commercial purpose under the terms of the CC BY-NC-SA license. Access will only be granted for research projects, and potential users of the data must apply for access. These requests are checked manually: please do not fill in the form multiple times, we will aim to grant you access as soon as possible.

After you have been granted access, you will be able to download a single `.zip` file that has the same structure as our code repository. The `.zip` file contains all of the MIDI files and metadata used to train our model, as well as checkpoints for the pre-trained and fine-tuned model, and the model trained with reinforcement learning.

You should first clone our repository, then extract the zip file into the root directory. You should end up with the following file structure.

.└── jazz-style-conditioned-generation/    ├── checkpoints/    │   ├── finetuning-customtok-plateau/    # pretrained on ATEPP    │   │   └── finetuning_customtok_10msmin***/    │   │       ├── tokenizer.json    # dumped tokenizer configuration      │   │       └── validation_best.pth    # pytorch model    │   ├── pretraining-custom-tokenizer-fixed-preprocessing    # finetuned on jazz    │   │   └── pretraining_customtok_10msmin***/    │   └── reinforcement-customtok-plateau    # finetuned + DPO-P    ├── config/    # same file structure as `checkpoints/`    │   ├── finetuning-customtok-plateau/    # individual folders per experiment    │   │   └── finetuning_customtok_10msmin***.yaml    # individual .yaml files per run    │   ├── pretraining-custom-tokenizer-fixed-preprocessing    │   │   └── ***.yaml     │   └── reinforcement-customtok-plateau    │   │   └── ***.yaml     ├── data/    │   ├── pretraining/    │   │   └── atepp/    │   │       ├── one_folder_per_recording/    │   │       └── ...    │   └── raw/    # one folder per source dataset    │       ├── bushgrafts    │       ├── jja    │       ├── jtd/    │       │   ├── one_folder_per_recording/    # all recordings have the same directory structure    │       │   │   ├── piano_midi.mid    # raw MIDI data    │       │   │   └── metadata_tivo.json    # scraped TiVo metadata    │       │   └── ...    │       ├── pijama    │       └── pianist8    └── README.md     # --> you are here!

For more information on how to use this data to reproduce our training results or run inference, see the README.
DOI: 10.15468/dl.c77wku
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heleophryne purcelli Sclater, 1898",
 "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 ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033089-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17617/3.fcvxvu
title: EventNeRF: Neural Radiance Fields from a Single Colour Event Camera

description: Asynchronously operating event cameras find many applications due to their high dynamic range, no motion blur, low latency and low data bandwidth. The field has seen remarkable progress during the last few years, and existing event-based 3D reconstruction approaches recover sparse point clouds of the scene. However, such sparsity is a limiting factor in many cases, especially in computer vision and graphics, that has not been addressed satisfactorily so far. Accordingly, this paper proposes the first approach for 3D-consistent, dense and photorealistic novel view synthesis using just a single colour event stream as input. At the core of our method is a neural radiance field trained entirely in a self-supervised manner from events while preserving the original resolution of the colour event channels. Next, our ray sampling strategy is tailored to events and allows for data-efficient training. At test, our method produces results in the RGB space at unprecedented quality. We evaluate our method qualitatively and quantitatively on several challenging synthetic and real scenes and show that it produces significantly denser and more visually appealing renderings than the existing methods. We also demonstrate robustness in challenging scenarios with fast motion and under low lighting conditions. Our dataset and our source code are released and available to facilitate the research field.
DOI: 10.15468/dl.vhgaj4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Gerbillus principulus (Thomas & Hinton, 1923)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033090-250525065834625/datasets/export for details.
DOI: 10.15468/dl.fhas9g
title: Occurrence Download

description: A dataset containing 3033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Acanthophora spicifera (M.Vahl) Børgesen"
 ]
}

 The dataset includes 3033 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033091-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/rvpp-a4u4
title: Measurement of Ozone at Lampedusa

description: Measurement of Ozone at Lampedusa
DOI: 10.15468/dl.dbjxcy
title: Occurrence Download

description: A dataset containing 22310 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'DZ'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 22310 records were derived from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033080-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jy6yrz
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heleophryne purcelli Sclater, 1898",
 "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 ((32.064 -28.9416,32.4847 -28.5786,30.5701 -28.5786,30.5701 -30.7329,30.6252 -30.6659,31.4179 -29.4257,31.8178 -29.0299,32.064 -28.9416))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033092-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29246210.v9
title: Anvi'o databases

description: Intermediary files and outputs associated with the manuscript titled "<b>Assemblies of long-read metagenomes suffer from diverse errors</b>" by Florian Trigodet et al.Description of content: Anvi'o contigs and profile database of each assembly and the associated mapped long reads.
DOI: 10.15468/dl.9sv4a4
title: Occurrence Download

description: A dataset containing 2822 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 6.91269718906302",
 "DecimalLongitude is less than 6.91575674224742",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2822 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025922-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ew5zuz
title: Occurrence Download

description: A dataset containing 906 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Geometry POLYGON((-122.63624 32.72013,-110.07112 32.72013,-110.07112 37.79902,-122.63624 37.79902,-122.63624 32.72013))",
 "TaxonKey is Tamarix ramosissima Ledeb."
 ]
}

 The dataset includes 906 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025924-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wxv539
title: Occurrence Download

description: A dataset containing 15114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((82.605 42.11388,69.41883 36.55874,71.96251 31.67605,77.81003 27.14422,85.67495 24.98064,89.12499 22.29078,93.86148 20.33186,97.31152 18.75303,103.30523 21.82298,105.46881 24.10351,109.44513 28.78153,109.06504 32.90403,105.00101 36.20788,99.18273 38.72232,91.17162 42.14312,82.605 42.11388))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amaranthaceae"
 ]
}

 The dataset includes 15114 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025925-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xm7g6h
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((53.61605 36.39518,52.75335 36.28545,52.17823 35.84502,52.42039 34.94439,53.17713 34.34673,54.7663 34.95679,54.53928 35.68537,54.1155 36.10224,53.61605 36.39518))",
 "HasGeospatialIssue is false",
 "TaxonKey is Capra aegagrus Erxleben, 1777"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025926-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3f9zmu
title: Occurrence Download

description: A dataset containing 77075 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is CABI Africa Invasive and Alien Species data"
 ]
}

 The dataset includes 77075 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025923-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eu9vyx
title: Occurrence Download

description: A dataset containing 2104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 6.91575674224742",
 "DecimalLongitude is less than 6.91881629543181",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2104 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025927-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.39vcwz
title: Occurrence Download

description: A dataset containing 712 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Zhangixalus prasinatus (Mou, Risch & Lue, 1983)",
 "Year 2021-2024"
 ]
}

 The dataset includes 712 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025929-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qy8v5n
title: Occurrence Download

description: A dataset containing 12516 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((82.605 42.11388,69.41883 36.55874,71.96251 31.67605,77.81003 27.14422,85.67495 24.98064,89.12499 22.29078,93.86148 20.33186,97.31152 18.75303,103.30523 21.82298,105.46881 24.10351,109.44513 28.78153,109.06504 32.90403,105.00101 36.20788,99.18273 38.72232,91.17162 42.14312,82.605 42.11388))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Artemisia L."
 ]
}

 The dataset includes 12516 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025928-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zahssk
title: Occurrence Download

description: A dataset containing 220858 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IND.3_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 220858 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025915-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t664b5
title: Occurrence Download

description: A dataset containing 1432074 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IND.4_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1432074 records from 256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025910-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.