cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fezu5k
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pedicularis bietii Franch."
 ]
}

 The dataset includes 17 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069915-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w744sg
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pandanus nanofrutex B.C.Stone"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069916-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hyg4jx
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paraquilegia altimurana Rech.fil."
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069917-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ecap2j
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peristylus mucronatus J.J.Sm."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069918-240321170329656/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.25514536.v1
title: Control Data-Sex and Biomarkers.txt

description: Patients with Retinitis Pigmentosa (RP) commonly experience sleep-related issues and are susceptible to stress. Moreover, variations in their vision are often linked to anxiety, stress and drowsiness, indicating that stress and sleep deprivation lead to a decline in vision, and vision improves when both are mitigated. The objective of this study was to investigate the utility of salivary biomarkers as biochemical indicators of anxiety and sleep deprivation in RP patients.
DOI: 10.6084/m9.figshare.25514539
title: RP Data-Sex and Biomarkers

description: Patients with Retinitis Pigmentosa (RP) commonly experience sleep-related issues and are susceptible to stress. Moreover, variations in their vision are often linked to anxiety, stress and drowsiness, indicating that stress and sleep deprivation lead to a decline in vision, and vision improves when both are mitigated. The objective of this study was to investigate the utility of salivary biomarkers as biochemical indicators of anxiety and sleep deprivation in RP patients.
DOI: 10.6084/m9.figshare.25514542
title: RP Stress and Biomarkers

description: Patients with Retinitis Pigmentosa (RP) commonly experience sleep-related issues and are susceptible to stress. Moreover, variations in their vision are often linked to anxiety, stress and drowsiness, indicating that stress and sleep deprivation lead to a decline in vision, and vision improves when both are mitigated. The objective of this study was to investigate the utility of salivary biomarkers as biochemical indicators of anxiety and sleep deprivation in RP patients.
DOI: 10.6084/m9.figshare.25514542.v1
title: RP Stress and Biomarkers

description: Patients with Retinitis Pigmentosa (RP) commonly experience sleep-related issues and are susceptible to stress. Moreover, variations in their vision are often linked to anxiety, stress and drowsiness, indicating that stress and sleep deprivation lead to a decline in vision, and vision improves when both are mitigated. The objective of this study was to investigate the utility of salivary biomarkers as biochemical indicators of anxiety and sleep deprivation in RP patients.
DOI: 10.6084/m9.figshare.25514536
title: Control Data-Sex and Biomarkers.txt

description: Patients with Retinitis Pigmentosa (RP) commonly experience sleep-related issues and are susceptible to stress. Moreover, variations in their vision are often linked to anxiety, stress and drowsiness, indicating that stress and sleep deprivation lead to a decline in vision, and vision improves when both are mitigated. The objective of this study was to investigate the utility of salivary biomarkers as biochemical indicators of anxiety and sleep deprivation in RP patients.
DOI: 10.15468/dl.usvm94
title: Occurrence Download

description: A dataset containing 622 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pegolettia senegalensis Cass."
 ]
}

 The dataset includes 622 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069919-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.av3883
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pedicularis bifida (Buch.-Ham. ex D.Don) Pennell"
 ]
}

 The dataset includes 120 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069921-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywzzm6
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxytropis iskanderica B.Fedtsch."
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069920-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.htn5eu
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peristylus nanus (Schltr.) P.F.Hunt"
 ]
}

 The dataset includes 12 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069922-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vmwkba
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pandanus navicularis B.C.Stone"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069923-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dvnprr
title: Occurrence Download

description: A dataset containing 498 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paraquilegia anemonoides (Willd.) Engl. ex Ulbr."
 ]
}

 The dataset includes 498 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069924-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10637088
title: Data and results from: The potential of global coastal flood risk reduction using various DRR measures

description: From on the research on global coastal flood risk reduction carried out by Mortensen et al. (2024).
DOI: 10.5281/zenodo.10637089
title: Data and results from: The potential of global coastal flood risk reduction using various DRR measures

description: From on the research on global coastal flood risk reduction carried out by Mortensen et al. (2024).
DOI: 10.5281/zenodo.10643294
title: Publication data for 'Willeit, M., Calov, R., Talento, S., Greve, R., Bernales, J., Klemann, V., Bagge, M., and Ganopolski, A.: Glacial inception through rapid ice area increase driven by albedo and vegetation feedbacks, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1462, 2023.'

description: Willeit, M., Calov, R., Talento, S., Greve, R., Bernales, J., Klemann, V., Bagge, M., and Ganopolski, A.: Glacial inception through rapid ice area increase driven by albedo and vegetation feedbacks, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1462, 2023.
DOI: 10.5281/zenodo.10643295
title: Publication data for 'Willeit, M., Calov, R., Talento, S., Greve, R., Bernales, J., Klemann, V., Bagge, M., and Ganopolski, A.: Glacial inception through rapid ice area increase driven by albedo and vegetation feedbacks, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1462, 2023.'

description: Willeit, M., Calov, R., Talento, S., Greve, R., Bernales, J., Klemann, V., Bagge, M., and Ganopolski, A.: Glacial inception through rapid ice area increase driven by albedo and vegetation feedbacks, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1462, 2023.
DOI: 10.5281/zenodo.10540831
title: OpenImage-O

description: This dataset is a subset of OpenImages selected by Haoqi Wang et al. for ViM: Out-Of-Distribution with Virtual-logit Matching. This upload is designed to facilitate the use of this dataset, notably through TorchUncertainty.

Please cite the original authors when using this dataset.

OpenImages, the original dataset, is licensed CC BY 4.0 by Google LLC, and so is this subset. As such, the re-distribution of this work is allowed. Refer to this page for more information. No changes were made to the exception of the selection of the subset by Haoqi Wang et al.
DOI: 10.5281/zenodo.10540830
title: OpenImage-O

description: This dataset is a subset of OpenImages selected by Haoqi Wang et al. for ViM: Out-Of-Distribution with Virtual-logit Matching. This upload is designed to facilitate the use of this dataset, notably through TorchUncertainty.

Please cite the original authors when using this dataset.

OpenImages, the original dataset, is licensed CC BY 4.0 by Google LLC, and so is this subset. As such, the re-distribution of this work is allowed. Refer to this page for more information. No changes were made to the exception of the selection of the subset by Haoqi Wang et al.
DOI: 10.25505/fiz.icsd.cc2h85sr
title: CSD 2301774: Experimental Crystal Structure Determination

description: Related Article: Xinyue Tang, Yuan Zhang, Tiantian Tao, Bingyuan Zhang, Mingze Du, Mingjiang Tu, Shan Liang, Jianhua Han, Weiwei Tang, Junbo Gong|2024|Cryst.Growth Des.|24|1235|doi:10.1021/acs.cgd.3c01204
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h8myc
title: CCDC 2302213: Experimental Crystal Structure Determination

description: Related Article: Raju Chouhan, Hemanga Bhattacharyya, Sajal Kumar Das|2024|Org.Lett.|26|1088|doi:10.1021/acs.orglett.3c04361
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.cc2h9fr0
title: CCDC 2302982: Experimental Crystal Structure Determination

description: Related Article: Tianze Zhang, Shan Jiang, Meng-Ying Qian, Qi-Lin Zhou, Li-Jun Xiao|2024|J.Am.Chem.Soc.|146|3458|doi:10.1021/jacs.3c13060
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.cc2hbtk7
title: CCDC 2304309: Experimental Crystal Structure Determination

description: Related Article: Thammanoon Chuasaard, Malee Sinchow, Natthiti Chiangraeng, Piyarat Nimmanpipug, Apinpus Rujiwatra|2024|J. CO2 Utilization|80|102686|doi:10.1016/j.jcou.2024.102686
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.cc2hbtl8
title: CCDC 2304310: Experimental Crystal Structure Determination

description: Related Article: Thammanoon Chuasaard, Malee Sinchow, Natthiti Chiangraeng, Piyarat Nimmanpipug, Apinpus Rujiwatra|2024|J. CO2 Utilization|80|102686|doi:10.1016/j.jcou.2024.102686
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.cc2hbtm9
title: CCDC 2304311: Experimental Crystal Structure Determination

description: Related Article: Thammanoon Chuasaard, Malee Sinchow, Natthiti Chiangraeng, Piyarat Nimmanpipug, Apinpus Rujiwatra|2024|J. CO2 Utilization|80|102686|doi:10.1016/j.jcou.2024.102686
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.cc2hbtnb
title: CCDC 2304312: Experimental Crystal Structure Determination

description: Related Article: Thammanoon Chuasaard, Malee Sinchow, Natthiti Chiangraeng, Piyarat Nimmanpipug, Apinpus Rujiwatra|2024|J. CO2 Utilization|80|102686|doi:10.1016/j.jcou.2024.102686
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: 10.6084/m9.figshare.25201016
title: Supplementary Material for: Investigation of recessive effects of coding variants on common clinical phenotypes in exome-sequenced UK Biobank participants

description: Introduction Previous studies have demonstrated effects of rare coding variants on common, clinically relevant phenotypes although the additive burden of these variants makes only a small contribution to overall trait variance. Although recessive effects of individual homozygous variants have been studied, little work has been done to elucidate the impact of rare coding variants occurring together as compound heterozygotes. Methods In this study attempts were made to identify pairs of variants likely to be occurring as compound heterozygotes using 200,000 exome sequenced subjects from the UK Biobank. Pairs of variants which were seen together in the same subject more often than would be expected by chance were excluded as it was assumed that these might be present in the same haplotype. Attention was restricted to variants with minor allele frequency &lt;= 0.05 and to those predicted to alter amino acid sequence or prevent normal gene expression. For each gene, compound heterozygotes were assigned scores based on the rarity and predicted functional consequences of the constituent variants and the scores were used in a logistic regression analysis to test for association with hypertension, hyperlipidaemia and type 2 diabetes. Results No statistically significant associations were observed and the results conformed to the distribution which would be expected under the null hypothesis. The average number of apparently compound heterozygous subjects for each gene was only 282.2. Conclusion It seems difficult to detect an effect of compound heterozygotes on the risk of these phenotypes. Even if recessive effects from compound heterozygotes do occur they would only affect a small number of people and overall would not make a substantial contribution to phenotypic variance. 
This research has been conducted using the UK Biobank Resource.
DOI: 10.6084/m9.figshare.25201016.v1
title: Supplementary Material for: Investigation of recessive effects of coding variants on common clinical phenotypes in exome-sequenced UK Biobank participants

description: Introduction Previous studies have demonstrated effects of rare coding variants on common, clinically relevant phenotypes although the additive burden of these variants makes only a small contribution to overall trait variance. Although recessive effects of individual homozygous variants have been studied, little work has been done to elucidate the impact of rare coding variants occurring together as compound heterozygotes. Methods In this study attempts were made to identify pairs of variants likely to be occurring as compound heterozygotes using 200,000 exome sequenced subjects from the UK Biobank. Pairs of variants which were seen together in the same subject more often than would be expected by chance were excluded as it was assumed that these might be present in the same haplotype. Attention was restricted to variants with minor allele frequency &lt;= 0.05 and to those predicted to alter amino acid sequence or prevent normal gene expression. For each gene, compound heterozygotes were assigned scores based on the rarity and predicted functional consequences of the constituent variants and the scores were used in a logistic regression analysis to test for association with hypertension, hyperlipidaemia and type 2 diabetes. Results No statistically significant associations were observed and the results conformed to the distribution which would be expected under the null hypothesis. The average number of apparently compound heterozygous subjects for each gene was only 282.2. Conclusion It seems difficult to detect an effect of compound heterozygotes on the risk of these phenotypes. Even if recessive effects from compound heterozygotes do occur they would only affect a small number of people and overall would not make a substantial contribution to phenotypic variance. 
This research has been conducted using the UK Biobank Resource.
DOI: 10.5281/zenodo.10114151
title: Long-term performance of PEM water electrolysis cells with 3D printed electrodes and low catalyst loading

description: Original data for the article with the same title
DOI: 10.5281/zenodo.10114152
title: Long-term performance of PEM water electrolysis cells with 3D printed electrodes and low catalyst loading

description: Original data for the article with the same title
DOI: 10.34740/kaggle/dsv/7600123
title: Car-Prices-Prediction-data
DOI: 10.34740/kaggle/dsv/7600158
title: Indian Number Plate Images
DOI: 10.17909/8rpk-re37
title: Data for the stars reported in the paper
DOI: 10.34740/kaggle/dsv/7600317
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.5519/qd.fhgf4vm7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1593 records)
DOI: 10.26188/25201073
title: ST45MRSA supplementary raw data

description: Supplementary raw data for manuscript
DOI: 10.26188/25201073.v1
title: ST45MRSA supplementary raw data

description: Supplementary raw data for manuscript
DOI: 10.34968/nims.1191
title: Fiber fuse propagation (1st trial, overexposed)
DOI: 10.34968/nims.1192
title: Fiber fuse propagation over the splice point from HI 1060 to SMF-28e fibers.
DOI: 10.34968/nims.1193
title: Fiber fuse propagation over the splice point from SMF-28e to HI 1060 fibers
DOI: 10.5281/zenodo.10643894
title: An inexpensive way for ovarian stimulation with only clomiphene citrate in women with diminished ovarian reserve
DOI: 10.5281/zenodo.10643895
title: An inexpensive way for ovarian stimulation with only clomiphene citrate in women with diminished ovarian reserve
DOI: 10.34968/nims.1194
title: Original data for Fig.2.6(a) and (b), Unstable mode, in a NIMS Monograph titled "fiber fuse"
DOI: 10.34968/nims.1195
title: Original data for Fig.2.6(a) and (b), Unimodal mode, in a NIMS Monograph titled "fiber fuse"
DOI: 10.14272/kiqbpexsazkvrr-uhfffaoysa-n.2
title: 4-(3-azido-5-methyl-1H-pyrazol-1-yl)benzonitrile
title: InChI=1S/C11H8N6/c1-8-6-11(14-16-13)15-17(8)10-4-2-9(7-12)3-5-10/h2-6H,1H3

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C11H8N6/c1-8-6-11(14-16-13)15-17(8)10-4-2-9(7-12)3-5-10/h2-6H,1H3, and canonical SMILES descriptor[cheminf_000007]: [N-]=[N+]=Nc1nn(c(c1)C)c1ccc(cc1)C#N, and by the IUPAC name[cheminf_000107]: .
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-37998

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000470 | mass spectrometry (MS)
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 CHMO:0000630 | infrared absorption spectroscopy (IR)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/kiqbpexsazkvrr-uhfffaoysa-n/chmo0000595.1
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C11H8N6/c1-8-6-11(14-16-13)15-17(8)10-4-2-9(7-12)3-5-10/h2-6H,1H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 13C NMR (100 MHz, DMSO-d6 [39.5 ppm], ppm) δ = 148.3, 142.6, 142.3, 133.5 (+, CH, 2C), 124.0 (+, CH, 2C), 118.3, 109.6, 99.8 (+, CH), 12.7 (+, CH3).