cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13934579
title: EVENTS ACCEL BBE27 (10-10-24 to 13-10-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.5281/zenodo.13934580
title: EVENTS ACCEL BBE27 (10-10-24 to 13-10-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.5281/zenodo.13934583
title: EVENTS ACCEL BC56E (10-10-24 to 13-10-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.5281/zenodo.13934584
title: EVENTS ACCEL BC56E (10-10-24 to 13-10-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.5281/zenodo.13932523
title: 【outputs_best_number_tokens_to_tpm_large_scales】/best_number_tokens_log_part_6 (1), only two 8B LLMs, 22 (tpms) = 22 files

description: Part 6 (1)  

only two 8B LLMs,  

only valid results (both MP p value and CI),

all permutation controls,

all seeds,

all linguistic spans,

all 5 tasks, 

22 (tpms) = 22 files
DOI: 10.5281/zenodo.13932522
title: 【outputs_best_number_tokens_to_tpm_large_scales】/best_number_tokens_log_part_6 (1), only two 8B LLMs, 22 (tpms) = 22 files

description: Part 6 (1)  

only two 8B LLMs,  

only valid results (both MP p value and CI),

all permutation controls,

all seeds,

all linguistic spans,

all 5 tasks, 

22 (tpms) = 22 files
DOI: 10.34770/2kwv-8r43
title: Data for Figures in "Extreme Rainfall Risk in Hurricane Ida’s Extratropical Stage: An Analysis with Convection-Permitting Ensemble Hindcasts"

description: Data used to generate figures in "Extreme Rainfall Risk in Hurricane
 Ida’s Extratropical Stage: An Analysis with Convection-Permitting Ensemble
 Hindcasts"
DOI: 10.23729/30104e54-a79c-477d-9c76-d6722b0d4d53
title: Data for Microbiology open publication Shvetsova et al 2021

description: Data for Microbiology open publication Shvetsova et al 2021, including Phospholipid analyses, Fluorescence images and ddPCR data
DOI: 10.4121/0165ad4c-b3d5-42b5-a171-686621386afd
title: Scripts and data for the paper: gsQTL: Associating genetic risk variants with gene sets by exploiting their shared variability

description: Scripts and data used for the paper gsQTL: Associating genetic risk variants with gene sets by exploiting their shared variability.<br>To investigate the functional significance of genetic risk loci identified through genome-wide association studies (GWASs), genetic loci are linked to genes based on their capacity to account for variation in gene expression, resulting in expression quantitative trait loci (eQTL). Following this, gene set analyses are commonly used to gain insights into functionality. However, the efficacy of this approach is hampered by small effect sizes and the burden of multiple testing. We propose an alternative approach: instead of examining the cumulative associations of individual genes within a gene set, we consider the collective variation of the entire gene set. We introduce the concept of gene set QTL (gsQTL), and show it to be more adept at identifying links between genetic risk variants and specific gene sets. Notably, gsQTL experiences less susceptibility to inflation or deflation of significant enrichments compared with conventional methods. Furthermore, we demonstrate the broader applicability of shared variability within gene sets. This is evident in scenarios such as the coordinated regulation of genes by a transcription factor or coordinated differential expression.
DOI: 10.4121/0165ad4c-b3d5-42b5-a171-686621386afd.v1
title: Scripts and data for the paper: gsQTL: Associating genetic risk variants with gene sets by exploiting their shared variability

description: Scripts and data used for the paper gsQTL: Associating genetic risk variants with gene sets by exploiting their shared variability.<br>To investigate the functional significance of genetic risk loci identified through genome-wide association studies (GWASs), genetic loci are linked to genes based on their capacity to account for variation in gene expression, resulting in expression quantitative trait loci (eQTL). Following this, gene set analyses are commonly used to gain insights into functionality. However, the efficacy of this approach is hampered by small effect sizes and the burden of multiple testing. We propose an alternative approach: instead of examining the cumulative associations of individual genes within a gene set, we consider the collective variation of the entire gene set. We introduce the concept of gene set QTL (gsQTL), and show it to be more adept at identifying links between genetic risk variants and specific gene sets. Notably, gsQTL experiences less susceptibility to inflation or deflation of significant enrichments compared with conventional methods. Furthermore, we demonstrate the broader applicability of shared variability within gene sets. This is evident in scenarios such as the coordinated regulation of genes by a transcription factor or coordinated differential expression.
DOI: 10.4121/618e2cdb-d961-45c0-ab72-09bd68827580
title: Scripts and data for the paper: Differential analysis of binarized single-cell RNA sequencing data captures biological variation

description: Scripts and data for the paper: Differential analysis of binarized single-cell RNA sequencing data captures biological variation<br>Single-cell RNA sequencing data is characterized by a large number of zero counts, yet there is growing evidence that these zeros reflect biological variation rather than technical artifacts. We propose to use binarized expression profiles to identify the effects of biological variation in single-cell RNA sequencing data. Using 16 publicly available and simulated datasets, we show that a binarized representation of single-cell expression data accurately represents biological variation and reveals the relative abundance of transcripts more robustly than counts.<br>
DOI: 10.4121/618e2cdb-d961-45c0-ab72-09bd68827580.v1
title: Scripts and data for the paper: Differential analysis of binarized single-cell RNA sequencing data captures biological variation

description: Scripts and data for the paper: Differential analysis of binarized single-cell RNA sequencing data captures biological variation<br>Single-cell RNA sequencing data is characterized by a large number of zero counts, yet there is growing evidence that these zeros reflect biological variation rather than technical artifacts. We propose to use binarized expression profiles to identify the effects of biological variation in single-cell RNA sequencing data. Using 16 publicly available and simulated datasets, we show that a binarized representation of single-cell expression data accurately represents biological variation and reveals the relative abundance of transcripts more robustly than counts.<br>
DOI: 10.5281/zenodo.13934628
title: Bimetallic Olefinic Copper Complexes part 2 (additinal Raw Data)
DOI: 10.5281/zenodo.13934629
title: Bimetallic Olefinic Copper Complexes part 2 (additinal Raw Data)
DOI: 10.4121/424eea7a-cce9-4dbb-b6ef-e5b47e132410
title: Scripts and data for the paper: Consequences and opportunities arising due to sparser single-cell RNA-seq datasets

description: Scripts and data for the paper: Consequences and opportunities arising due to sparser single-cell RNA-seq datasets<br>With the number of cells measured in single-cell RNA sequencing (scRNA-seq) datasets increasing exponentially and concurrent increased sparsity due to more zero counts being measured for many genes, we demonstrate here that downstream analyses on binary-based gene expression give similar results as count-based analyses. Moreover, a binary representation scales up to ~ 50-fold more cells that can be analyzed using the same computational resources. We also highlight the possibilities provided by binarized scRNA-seq data. Development of specialized tools for bit-aware implementations of downstream analytical tasks will enable a more fine-grained resolution of biological heterogeneity.
DOI: 10.4121/424eea7a-cce9-4dbb-b6ef-e5b47e132410.v1
title: Scripts and data for the paper: Consequences and opportunities arising due to sparser single-cell RNA-seq datasets

description: Scripts and data for the paper: Consequences and opportunities arising due to sparser single-cell RNA-seq datasets<br>With the number of cells measured in single-cell RNA sequencing (scRNA-seq) datasets increasing exponentially and concurrent increased sparsity due to more zero counts being measured for many genes, we demonstrate here that downstream analyses on binary-based gene expression give similar results as count-based analyses. Moreover, a binary representation scales up to ~ 50-fold more cells that can be analyzed using the same computational resources. We also highlight the possibilities provided by binarized scRNA-seq data. Development of specialized tools for bit-aware implementations of downstream analytical tasks will enable a more fine-grained resolution of biological heterogeneity.
DOI: 10.5517/ccdc.csd.cc24fbkh
title: CCDC 1979026: Experimental Crystal Structure Determination

description: Related Article: Danbo Wang, Guangming Guo, Renzeng Chen, Yuzhen Gong, Lishui Sun, Yingjie Zhao|2021|Sci.China.Chem.|64|1510|doi:10.1007/s11426-021-1030-7
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2j9wg6
title: CCDC 2333198: Experimental Crystal Structure Determination

description: Related Article: Pooja Dahiya, Anoop Yadav, Rajnish Budhwan, Megha Rawat, Rama Krishna Peddinti|2024|Org.Biomol.Chem.|22|7664|doi:10.1039/D4OB01330A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jb0c8
title: CCDC 2333319: Experimental Crystal Structure Determination

description: Related Article: Pooja Dahiya, Anoop Yadav, Rajnish Budhwan, Megha Rawat, Rama Krishna Peddinti|2024|Org.Biomol.Chem.|22|7664|doi:10.1039/D4OB01330A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jb5rt
title: CCDC 2333486: Experimental Crystal Structure Determination

description: Related Article: Pooja Dahiya, Anoop Yadav, Rajnish Budhwan, Megha Rawat, Rama Krishna Peddinti|2024|Org.Biomol.Chem.|22|7664|doi:10.1039/D4OB01330A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jbdr1
title: CCDC 2333703: Experimental Crystal Structure Determination

description: Related Article: Swati Singh, Gopal Chakrabortty, Kajal Tiwari, Neha Dagar, Sudipta Raha Roy|2024|Org.Biomol.Chem.|22|7690|doi:10.1039/D4OB01169D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jc659
title: CCDC 2334460: Experimental Crystal Structure Determination

description: Related Article: Fu-Peng Wu, Madina Lenz, Adhya Suresh, Achyut R. Gogoi, Jasper L. Tyler, Constantin G. Daniliuc, Osvaldo Gutierrez, Frank Glorius|2024|Chemical Science|15|15205|doi:10.1039/D4SC04413D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.qtkr2w
title: Occurrence Download

description: A dataset containing 1075553 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PhylumKey is Arthropoda",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Country is Italy"
 ]
}

 The dataset includes 1075553 records from 969 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015273-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2jjv1z
title: CCDC 2339881: Experimental Crystal Structure Determination

description: Related Article: Jing-Liang Yu, Qian-Mao Zhang, Guo Cheng, Chun-Chun Tang, Zhen-Yu Yang, Wen-Sheng Li, Li-Xin Wang|2024|Org.Biomol.Chem.|22|7612|doi:10.1039/D4OB01175A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jk307
title: CCDC 2340128: Experimental Crystal Structure Determination

description: Related Article: Pooja Dahiya, Anoop Yadav, Rajnish Budhwan, Megha Rawat, Rama Krishna Peddinti|2024|Org.Biomol.Chem.|22|7664|doi:10.1039/D4OB01330A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.qs6yqt
title: Occurrence Download

description: A dataset containing 6768530 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((40 30,100 30,100 60,40 60,40 30))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 6768530 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015297-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13934585
title: EVENTS ACCEL BCA6C (10-10-24 to 13-10-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.5281/zenodo.13934586
title: EVENTS ACCEL BCA6C (10-10-24 to 13-10-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.15468/dl.cdf7vm
title: Occurrence Download

description: A dataset containing 107135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Anas acuta Linnaeus, 1758",
 "Year 2015-2015"
 ]
}

 The dataset includes 107135 records from 189 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015277-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2jpfb0
title: CCDC 2344292: Experimental Crystal Structure Determination

description: Related Article: Yulian Liu, Yi Wei, Zhishan Luo, Bin Xu, Meiying He, Peibin Hong, Chen Li, Zewei Quan|2024|Chemical Science|15|15480|doi:10.1039/D4SC04399E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2k0wk1
title: CCDC 2354343: Experimental Crystal Structure Determination

description: Related Article: Justin D. Miller, Mitchell M. Walsh, Kyounghoon Lee, Curtis E. Moore, Christine M. Thomas|2024|Chemical Science|15|15311|doi:10.1039/D4SC03364G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2k0wl2
title: CCDC 2354344: Experimental Crystal Structure Determination

description: Related Article: Justin D. Miller, Mitchell M. Walsh, Kyounghoon Lee, Curtis E. Moore, Christine M. Thomas|2024|Chemical Science|15|15311|doi:10.1039/D4SC03364G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2k0wm3
title: CCDC 2354345: Experimental Crystal Structure Determination

description: Related Article: Justin D. Miller, Mitchell M. Walsh, Kyounghoon Lee, Curtis E. Moore, Christine M. Thomas|2024|Chemical Science|15|15311|doi:10.1039/D4SC03364G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.6ujemt
title: Occurrence Download

description: A dataset containing 2315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Reynoutria japonica Houtt.",
 "Country is Austria"
 ]
}

 The dataset includes 2315 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015348-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ccwjw
title: Occurrence Download

description: A dataset containing 727 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Osteocephalus verruciger (Werner, 1901)"
 ]
}

 The dataset includes 727 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015351-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.br6pas
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia transvaalensis Schltr."
 ]
}

 The dataset includes 132 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0206798-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vfj2vh
title: Occurrence Download

description: A dataset containing 518 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caladenia cairnsiana F.Muell."
 ]
}

 The dataset includes 518 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111570-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2a9gr
title: Occurrence Download

description: A dataset containing 18668 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium ochroleucon Huds.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18668 records from 266 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0286778-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pka72p
title: Occurrence Download

description: A dataset containing 11948 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Loxodonta Anonymous, 1827",
 "Year 1900-2023"
 ]
}

 The dataset includes 11948 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111571-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5tuv5w
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia trichiocyma S.Carter"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0206807-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gc7tap
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pedinophyceae",
 "HasCoordinate is true",
 "Country is one of (Romania)",
 "HasGeospatialIssue is false",
 "Year is greater than 2009"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0233366-210914110416597/datasets/export for details.
DOI: 10.15468/dl.tpuda8
title: Occurrence Download

description: A dataset containing 5152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Country is one of (United States of America, Mexico, Canada)",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Gymnogyps californianus (Shaw, 1797)"
 ]
}

 The dataset includes 5152 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111567-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mx3hwn
title: Occurrence Download

description: A dataset containing 3742 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Country is one of (United States of America, Mexico, Canada)",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Bromus tectorum L."
 ]
}

 The dataset includes 3742 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111589-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.