cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15085511
title: Artifact of AccelerQ: Accelerating Quantum Eigensolvers With Machine Learning on Quantum Simulators

description: This artifact contains the code and data related to AccelerQ: Accelerating Quantum Eigensolvers With Machine Learning on Quantum Simulators paper.

As AccelerQ takes as input quantum programs crafted by others with data coming from other datasets, we wish to note that these are not our data nor code. The majority of it is taken from QAGC with ML Implementation at GitHub. The rest is extracted using other papers that are already cited in the publication.

Our Contribution.

AccelerQ is a set of Python programs for



Data mining - kcl_prepare_data.py, with two wrappers for each QE implementation: kcl_QCELS_stage_1.py and kcl_adapt_vqe_stage_1.py.

Training ML models -  kcl_train_xgb.py, with two wrappers for each QE implementation: kcl_QCELS_stage_2.py and kcl_adapt_vqe_stage_2.py.

Deploying the models - kcl_opt_xgb.py, with two wrappers for each QE implementation: kcl_QCELS_stage_3.py and kcl_adapt_vqe_stage_3.py.


We then collected the new hyperparameter values and added these to the QE implementations: first_answer_experiments-tests.py and QCELS_answer_experiments-tests.py for the evaluation of AccelerQ and first_answer_experiments.py and QCELS_answer_experiments.py to compare against the baseline and AccelerQ with ML models only (weaker version).
DOI: 10.5281/zenodo.15085927
title: Artifact of AccelerQ: Accelerating Quantum Eigensolvers With Machine Learning on Quantum Simulators

description: This artifact contains the code and data related to AccelerQ: Accelerating Quantum Eigensolvers With Machine Learning on Quantum Simulators paper.

As AccelerQ takes as input quantum programs crafted by others with data coming from other datasets, we wish to note that these are not our data nor code. The majority of it is taken from QAGC with ML Implementation at GitHub. The rest is extracted using other papers that are already cited in the publication.

Our Contribution.

AccelerQ is a set of Python programs for



Data mining - kcl_prepare_data.py, with two wrappers for each QE implementation: kcl_QCELS_stage_1.py and kcl_adapt_vqe_stage_1.py.

Training ML models -  kcl_train_xgb.py, with two wrappers for each QE implementation: kcl_QCELS_stage_2.py and kcl_adapt_vqe_stage_2.py.

Deploying the models - kcl_opt_xgb.py, with two wrappers for each QE implementation: kcl_QCELS_stage_3.py and kcl_adapt_vqe_stage_3.py.


We then collected the new hyperparameter values and added these to the QE implementations: first_answer_experiments-tests.py and QCELS_answer_experiments-tests.py for the evaluation of AccelerQ and first_answer_experiments.py and QCELS_answer_experiments.py to compare against the baseline and AccelerQ with ML models only (weaker version).
DOI: 10.5281/zenodo.15094069
title: Artifact of AccelerQ: Accelerating Quantum Eigensolvers With Machine Learning on Quantum Simulators

description: This artifact contains the code and data related to AccelerQ: Accelerating Quantum Eigensolvers With Machine Learning on Quantum Simulators paper.

As AccelerQ takes as input quantum programs crafted by others with data coming from other datasets, we wish to note that these are not our data nor code. The majority of it is taken from QAGC with ML Implementation at GitHub. The rest is extracted using other papers that are already cited in the publication.

Our Contribution.

AccelerQ is a set of Python programs for



Data mining - kcl_prepare_data.py, with two wrappers for each QE implementation: kcl_QCELS_stage_1.py and kcl_adapt_vqe_stage_1.py.

Training ML models -  kcl_train_xgb.py, with two wrappers for each QE implementation: kcl_QCELS_stage_2.py and kcl_adapt_vqe_stage_2.py.

Deploying the models - kcl_opt_xgb.py, with two wrappers for each QE implementation: kcl_QCELS_stage_3.py and kcl_adapt_vqe_stage_3.py.


We then collected the new hyperparameter values and added these to the QE implementations: first_answer_experiments-tests.py and QCELS_answer_experiments-tests.py for the evaluation of AccelerQ and first_answer_experiments.py and QCELS_answer_experiments.py to compare against the baseline and AccelerQ with ML models only (weaker version).
DOI: 10.15468/dl.rujtm7
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Schima superba Gardner & Champ.",
 "Year 2024-2024"
 ]
}

 The dataset includes 131 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003343-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnnbff
title: Occurrence Download

description: A dataset containing 283 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mantella baroni Boulenger, 1888",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 283 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003344-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5a9ckw
title: Occurrence Download

description: A dataset containing 1852 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ladislavia taczanowskii Dybowski, 1869"
 ]
}

 The dataset includes 1852 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003346-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w27n9r
title: Occurrence Download

description: A dataset containing 895 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((7.99726 49.85542,8.05454 49.85542,8.05454 49.88376,7.99726 49.88376,7.99726 49.85542))",
 "HasGeospatialIssue is false",
 "TaxonKey is Animalia",
 "Year 2000-2025"
 ]
}

 The dataset includes 895 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003345-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w94q6s
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Drymochares truquii Mulsant, 1847"
 ]
}

 The dataset includes 179 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003347-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdk9np
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bufo cryptotympanicus Liu & Hu, 1962"
 ]
}

 The dataset includes 51 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003348-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.24ytmq
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mantella bernhardi Vences, Glaw, Peyrieras, Böhme & Busse, 1994",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 101 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003349-250325103851331/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.28674779
title: Supplementary Material for "Governance capacity framework with enhanced information integration for public sector circular supply chains"

description: The questionnaire and the calculations supplement our article "Governance capacity framework with enhanced information integration for public sector circular supply chains".
DOI: 10.15468/dl.8w35v5
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mantidactylus albofrenatus (Müller, 1892)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 52 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003350-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbe4ef
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bufo eichwaldi Litvinchuk, Borkin, Skorinov & Rosanov, 2008"
 ]
}

 The dataset includes 116 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003352-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etmr5x
title: Occurrence Download

description: A dataset containing 697 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hemibarbus mylodon (Berg, 1907)"
 ]
}

 The dataset includes 697 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003353-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12631956
title: Supplemental datasets for 'A near telomere-to-telomere phased reference assembly for the male mountain gorilla (Gorilla beringei beringei)'

description: The endangered mountain gorilla Gorilla beringei beringei faces numerous threats to its survival, highlighting the urgent need for genomic resources to aid conservation efforts. Here, we present a near telomere-to-telomere, haplotype-phased reference genome assembly for a male mountain gorilla generated using Pacbio HiFi and Oxford Nanopore Ultralong data. The resulting assembly exhibits exceptional contiguity, with contig N50 of ~ 95 Mbps for the combined pseudohaplotype (3,540,458,497 bps, and 56.5 Mbps (3.1 Gbps) and 51.0 Mbps (3.2 Gbps) for the maternal and paternal haplotypes and an average QV of 65.15 (error rate = 3.1 x 10-7). These represent substantial improvements over most other available primate genomes. This high-quality reference genome provides an invaluable resource for future studies on gorilla evolution, adaptation, and conservation, ultimately contributing to the long-term survival of this iconic species.

A preprint for this work is available at bioRXiv, doi: https://doi.org/10.1101/2024.10.28.620258
DOI: 10.5281/zenodo.12631957
title: Supplemental datasets for 'A near telomere-to-telomere phased reference assembly for the male mountain gorilla (Gorilla beringei beringei)'

description: The endangered mountain gorilla Gorilla beringei beringei faces numerous threats to its survival, highlighting the urgent need for genomic resources to aid conservation efforts. Here, we present a near telomere-to-telomere, haplotype-phased reference genome assembly for a male mountain gorilla generated using Pacbio HiFi and Oxford Nanopore Ultralong data. The resulting assembly exhibits exceptional contiguity, with contig N50 of ~ 95 Mbps for the combined pseudohaplotype (3,540,458,497 bps, and 56.5 Mbps (3.1 Gbps) and 51.0 Mbps (3.2 Gbps) for the maternal and paternal haplotypes and an average QV of 65.15 (error rate = 3.1 x 10-7) and 0% switch errors detected. These represent substantial improvements over most other available primate genomes. This high-quality reference genome provides an invaluable resource for future studies on gorilla evolution, adaptation, and conservation, ultimately contributing to the long-term survival of this iconic species.
DOI: 10.5281/zenodo.14691414
title: Supplemental datasets for 'A near telomere-to-telomere phased reference assembly for the male mountain gorilla (Gorilla beringei beringei)'

description: The endangered mountain gorilla Gorilla beringei beringei faces numerous threats to its survival, highlighting the urgent need for genomic resources to aid conservation efforts. Here, we present a near telomere-to-telomere, haplotype-phased reference genome assembly for a male mountain gorilla generated using Pacbio HiFi and Oxford Nanopore Ultralong data. The resulting assembly exhibits exceptional contiguity, with contig N50 of ~ 95 Mbps for the combined pseudohaplotype (3,540,458,497 bps, and 56.5 Mbps (3.1 Gbps) and 51.0 Mbps (3.2 Gbps) for the maternal and paternal haplotypes and an average QV of 65.15 (error rate = 3.1 x 10-7). These represent substantial improvements over most other available primate genomes. This high-quality reference genome provides an invaluable resource for future studies on gorilla evolution, adaptation, and conservation, ultimately contributing to the long-term survival of this iconic species.

A preprint for this work is available at BioRXIV, doi: https://doi.org/10.1101/2024.10.28.620258
DOI: 10.5281/zenodo.14716115
title: Supplemental datasets for 'A near telomere-to-telomere phased reference assembly for the male mountain gorilla (Gorilla beringei beringei)'

description: The endangered mountain gorilla Gorilla beringei beringei faces numerous threats to its survival, highlighting the urgent need for genomic resources to aid conservation efforts. Here, we present a near telomere-to-telomere, haplotype-phased reference genome assembly for a male mountain gorilla generated using Pacbio HiFi and Oxford Nanopore Ultralong data. The resulting assembly exhibits exceptional contiguity, with contig N50 of ~ 95 Mbps for the combined pseudohaplotype (3,540,458,497 bps, and 56.5 Mbps (3.1 Gbps) and 51.0 Mbps (3.2 Gbps) for the maternal and paternal haplotypes and an average QV of 65.15 (error rate = 3.1 x 10-7). These represent substantial improvements over most other available primate genomes. This high-quality reference genome provides an invaluable resource for future studies on gorilla evolution, adaptation, and conservation, ultimately contributing to the long-term survival of this iconic species.

A preprint for this work is available at BioRXIV, doi: https://doi.org/10.1101/2024.10.28.620258
DOI: 10.5281/zenodo.14721770
title: Supplemental datasets for 'A near telomere-to-telomere phased reference assembly for the male mountain gorilla (Gorilla beringei beringei)'

description: The endangered mountain gorilla Gorilla beringei beringei faces numerous threats to its survival, highlighting the urgent need for genomic resources to aid conservation efforts. Here, we present a near telomere-to-telomere, haplotype-phased reference genome assembly for a male mountain gorilla generated using Pacbio HiFi and Oxford Nanopore Ultralong data. The resulting assembly exhibits exceptional contiguity, with contig N50 of ~ 95 Mbps for the combined pseudohaplotype (3,540,458,497 bps, and 56.5 Mbps (3.1 Gbps) and 51.0 Mbps (3.2 Gbps) for the maternal and paternal haplotypes and an average QV of 65.15 (error rate = 3.1 x 10-7). These represent substantial improvements over most other available primate genomes. This high-quality reference genome provides an invaluable resource for future studies on gorilla evolution, adaptation, and conservation, ultimately contributing to the long-term survival of this iconic species.

A preprint for this work is available at bioRXiv, doi: https://doi.org/10.1101/2024.10.28.620258
DOI: 10.5281/zenodo.14866577
title: Supplemental datasets for 'A near telomere-to-telomere phased reference assembly for the male mountain gorilla (Gorilla beringei beringei)'

description: The endangered mountain gorilla Gorilla beringei beringei faces numerous threats to its survival, highlighting the urgent need for genomic resources to aid conservation efforts. Here, we present a near telomere-to-telomere, haplotype-phased reference genome assembly for a male mountain gorilla generated using Pacbio HiFi and Oxford Nanopore Ultralong data. The resulting assembly exhibits exceptional contiguity, with contig N50 of ~ 95 Mbps for the combined pseudohaplotype (3,540,458,497 bps, and 56.5 Mbps (3.1 Gbps) and 51.0 Mbps (3.2 Gbps) for the maternal and paternal haplotypes and an average QV of 65.15 (error rate = 3.1 x 10-7). These represent substantial improvements over most other available primate genomes. This high-quality reference genome provides an invaluable resource for future studies on gorilla evolution, adaptation, and conservation, ultimately contributing to the long-term survival of this iconic species.

A preprint for this work is available at bioRXiv, doi: https://doi.org/10.1101/2024.10.28.620258
DOI: 10.5281/zenodo.14871090
title: Supplemental datasets for 'A near telomere-to-telomere phased reference assembly for the male mountain gorilla (Gorilla beringei beringei)'

description: The endangered mountain gorilla Gorilla beringei beringei faces numerous threats to its survival, highlighting the urgent need for genomic resources to aid conservation efforts. Here, we present a near telomere-to-telomere, haplotype-phased reference genome assembly for a male mountain gorilla generated using Pacbio HiFi and Oxford Nanopore Ultralong data. The resulting assembly exhibits exceptional contiguity, with contig N50 of ~ 95 Mbps for the combined pseudohaplotype (3,540,458,497 bps, and 56.5 Mbps (3.1 Gbps) and 51.0 Mbps (3.2 Gbps) for the maternal and paternal haplotypes and an average QV of 65.15 (error rate = 3.1 x 10-7). These represent substantial improvements over most other available primate genomes. This high-quality reference genome provides an invaluable resource for future studies on gorilla evolution, adaptation, and conservation, ultimately contributing to the long-term survival of this iconic species.

A preprint for this work is available at bioRXiv, doi: https://doi.org/10.1101/2024.10.28.620258
DOI: 10.15468/dl.23mxw6
title: Occurrence Download

description: A dataset containing 895 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((7.99726 49.85542,8.05454 49.85542,8.05454 49.88376,7.99726 49.88376,7.99726 49.85542))",
 "HasGeospatialIssue is false",
 "TaxonKey is Animalia",
 "Year 2000-2025"
 ]
}

 The dataset includes 895 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003354-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7br9k
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mantidactylus betsileanus (Boulenger, 1882)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 218 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003356-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m5zztm
title: Occurrence Download

description: A dataset containing 1934 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Testudines",
 "Year 2001-2020"
 ]
}

 The dataset includes 1934 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003360-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfr66v
title: Occurrence Download

description: A dataset containing 339 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mantidactylus femoralis (Boulenger, 1882)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 339 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003361-250325103851331/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.28675010
title: CNC018-chromosome.dna

description: Whole genome sequencing of novel Salmonella ppGpp named CNC018
DOI: 10.15468/dl.tdtsam
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((103.93331 0.9216,104.05021 0.9216,104.05021 1.03653,103.93331 1.03653,103.93331 0.9216))",
 "OccurrenceStatus is Present",
 "Year 2015-2025"
 ]
}

 The dataset includes 47 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003363-250325103851331/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.28674995
title: AHP Matrix

description: AHP Pairwise comparison matrix for vegetable crop
DOI: 10.15468/dl.kjg77v
title: Occurrence Download

description: A dataset containing 406 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mantidactylus lugubris (Duméril, 1853)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 406 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003365-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w2qt4e
title: Occurrence Download

description: A dataset containing 1725 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Silurus microdorsalis (Mori, 1936)"
 ]
}

 The dataset includes 1725 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003366-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rcwd62
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mantidactylus ulcerosus (Boettger, 1880)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 46 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003367-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uk8cdp
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanophryniscus admirabilis Di-Bernardo, Maneyro & Grillo, 2006",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 38 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003368-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxunkk
title: Occurrence Download

description: A dataset containing 300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mertensiella caucasica (Waga, 1876)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 300 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003370-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.