cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc242v69
title: CCDC 1968940: Experimental Crystal Structure Determination

description: Related Article: Artur Mirocki, Artur Sikorski|2022|CSD Communication|||
description: Related Article: Artur Mirocki, Artur Sikorski|2020|Crystals|10|79|doi:10.3390/cryst10020079
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.cc28t4py
title: CCDC 2109540: Experimental Crystal Structure Determination

description: Related Article: Damilola S. Oluwatoba, Md Faizul Islam, Bozumeh Som, Ammon J. Sindt, Mark D. Smith, Linda S. Shimizu and Thanh D. Do|2022|CSD Communication|||
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.cc2bh9jp
title: CCDC 2159662: Experimental Crystal Structure Determination

description: Related Article: Natalie S. Schunck, Stefan Mecking|2022|Angew.Chem.,Int.Ed.|61|e202211285|doi:10.1002/anie.202211285
description: Related Article: Natalie S. Schunck, Stefan Mecking|2022|CSD Communication|||
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.cc2bh9kq
title: CCDC 2159663: Experimental Crystal Structure Determination

description: Related Article: Natalie S. Schunck, Stefan Mecking|2022|Angew.Chem.,Int.Ed.|61|e202211285|doi:10.1002/anie.202211285
description: Related Article: Natalie S. Schunck, Stefan Mecking|2022|CSD Communication|||
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.cc2bkzd9
title: CCDC 2162231: Experimental Crystal Structure Determination

description: Related Article: Rajata Kumar Sahoo, Nabin Sarkar, Sharanappa Nembenna|2022|Inorg.Chem.|62|304|doi:10.1021/acs.inorgchem.2c03389
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.cc2bkzjf
title: CCDC 2162235: Experimental Crystal Structure Determination

description: Related Article: Rajata Kumar Sahoo, Nabin Sarkar, Sharanappa Nembenna|2022|Inorg.Chem.|62|304|doi:10.1021/acs.inorgchem.2c03389
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.cc2bwl0v
title: CCDC 2171457: Experimental Crystal Structure Determination

description: Related Article: Anchal Saxena, Nayan Ghosh|2022|J.Org.Chem.|88|300|doi:10.1021/acs.joc.2c02320
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: 10.26188/21861846
title: Data used in submitted manuscript Moonlight and predation risk: does vegetation cover mediate the behaviour of small mammals and their predators?

description: Data sets associated with the manuscript " Moonlight and predation risk: does vegetation cover mediate the behaviour of small mammals and their predators?" submitted to Scientific Reports. There are nime data sets, each corresponding to one species. The name of each data set contains the species name. All data sets have 10 columns: <br> 1: site = site id (values vary with species) <br> 2: camera = camera id (cameras were located at the 50 or 150 m mark of a 200 m transect at each site) <br> 3: trap.day = the camera trap deployment day - usually 1-30, but sometimes fewer if cameras failed <br> 4: species response (colums in different data sets are given three character species codes like bur, yfa - see file name for full species name) = values represent the number of times each species was detected during the night <br> 5: response = proportional species response, calculated as species response (see previous) / night.hours (see next). <br> 6: night.hours = the number of complete night time hours. Night time is defined as after sunset and before sunrise. <br> 7: moon = moon illumination index <br> 8: understorey = understorey cover index <br> 9: season = sampling season 1 or season 2 <br> 10: cloud = cloud cover index <br> Note that columns 7, 8 and 10 are scaled using the scale function in R
DOI: 10.26188/21861846.v2
title: Data used in submitted manuscript Moonlight and predation risk: does vegetation cover mediate the behaviour of small mammals and their predators?

description: Data sets associated with the manuscript " Moonlight and predation risk: does vegetation cover mediate the behaviour of small mammals and their predators?" submitted to Scientific Reports. There are nime data sets, each corresponding to one species. The name of each data set contains the species name. All data sets have 10 columns: <br> 1: site = site id (values vary with species) <br> 2: camera = camera id (cameras were located at the 50 or 150 m mark of a 200 m transect at each site) <br> 3: trap.day = the camera trap deployment day - usually 1-30, but sometimes fewer if cameras failed <br> 4: species response (colums in different data sets are given three character species codes like bur, yfa - see file name for full species name) = values represent the number of times each species was detected during the night <br> 5: response = proportional species response, calculated as species response (see previous) / night.hours (see next). <br> 6: night.hours = the number of complete night time hours. Night time is defined as after sunset and before sunrise. <br> 7: moon = moon illumination index <br> 8: understorey = understorey cover index <br> 9: season = sampling season 1 or season 2 <br> 10: cloud = cloud cover index <br> Note that columns 7, 8 and 10 are scaled using the scale function in R
DOI: 10.26188/21861846.v1
title: Moonlight and predation risk

description: Data sets associated with the manuscript " Moonlight and predation risk: does vegetation cover mediate the behaviour of small mammals and their predators?" submitted to Scientific Reports. There are nime data sets, each corresponding to one species. The name of each data set contains the species name. All data sets have 10 columns: <br> 1: site = site id (values vary with species) <br> 2: camera = camera id (cameras were located at the 50 or 150 m mark of a 200 m transect at each site) <br> 3: trap.day = the camera trap deployment day - usually 1-30, but sometimes fewer if cameras failed <br> 4: species response (colums in different data sets are given three character species codes like bur, yfa - see file name for full species name) = values represent the number of times each species was detected during the night <br> 5: response = proportional species response, calculated as species response (see previous) / night.hours (see next). <br> 6: night.hours = the number of complete night time hours. Night time is defined as after sunset and before sunrise. <br> 7: moon = moon illumination index <br> 8: understorey = understorey cover index <br> 9: season = sampling season 1 or season 2 <br> 10: cloud = cloud cover index <br> Note that columns 7, 8 and 10 are scaled using the scale function in R
DOI: 10.5281/zenodo.6016688
title: Mooring observed zonal velocity anomaly at 142E/0 averaged over the depths of 400-1000 m

description: This dataset contains zonal velocity anomaly observed by the mooring at 142E/0. It is supplementary of the paper "<strong>Interdecadal modulation of ENSO-related anomalous Equatorial Intermediate Currents in the western Pacific by the PDO</strong>" published by the Geophysical Research Letters. Please let me know if you need any more information.
DOI: 10.5281/zenodo.6016687
title: Mooring observed zonal velocity anomaly at 142E/0 averaged over the depths of 400-1000 m

description: This dataset contains zonal velocity anomaly observed by the mooring at 142E/0. It is supplementary of the paper "<strong>Interdecadal modulation of ENSO-related anomalous Equatorial Intermediate Currents in the western Pacific by the PDO</strong>" published by the Geophysical Research Letters. Please let me know if you need any more information.
DOI: 10.5519/qd.ffw6hz7t
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (316 records)
DOI: 10.5281/zenodo.7523394
title: CONEX Cosmic Ray Monte Carlo Library

description: Dataset containing a collection of simulated air showers generated with CONEX program for different nuclei and hadronic models.
DOI: 10.5281/zenodo.7523393
title: CONEX Cosmic Ray Monte Carlo Library

description: Dataset containing a collection of simulated air showers generated with CONEX program for different nuclei and hadronic models.
DOI: 10.25919/p149-za38
title: Parkes observations for project P1171 semester 2022OCTS_01

description: The origin of Fast Radio Bursts (FRBs) is still unclear with a plethora of theoretical models for their origin. Several models predict associated multi-wavelength emission, but previous searches for optical, X-ray or gamma-ray counterparts of FRBs have not led to any detection. The Galactic magnetar SGR 1935+2154A has been observed to simultaneously emit FRB-like bursts and X-ray flares, which suggests that also extragalactic FRB sources may exhibit X-ray counterparts. Because of the high cost of X-ray satellites and in face of the relatively low FRB detection probability in their small field of view, coordinated radio and X-ray observations are logistically very difficult to set up. We propose a new approach using the X-ray satellite XMM-Newton and the Parkes/Murriyang radio telescope to put constraints on the theoretical models: We aim to conduct shadowing observations with the Parkes telescope to search for new FRBs in fields that are simultaneously covered by XMM-Newton. We hereby target regular XMM observations of nearby (low-z) galaxies, since objects of this type have been previously identified as FRB hosts. In case of an FRB detection in the radio band, we will have guaranteed simultaneous X-ray coverage and will get detailed information about the associated X-ray spectrum and light curve.
DOI: 10.25919/qb2j-e154
title: Parkes observations for project PX500 semester 2022OCTS_11

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.5281/zenodo.3889352
title: Interannual Variability of Lower Equatorial Intermediate Current Response to ENSO in the Western Pacific

description: This dataset contains zonal velocity data observed by the mooring at 142E, 0. It is supplementary of the paper "Interannual Variability of Lower Equatorial Intermediate Current Response to ENSO in the Western Pacific" published by the Geophysical Research Letters (doi:10.1029/2020GL089311). Please let me know if you need any more information.
DOI: 10.5281/zenodo.3889351
title: Interannual Variability of Lower Equatorial Intermediate Current Response to ENSO in the Western Pacific

description: This dataset contains zonal velocity data observed by the mooring at 142E, 0. It is supplementary of the paper "Interannual Variability of Lower Equatorial Intermediate Current Response to ENSO in the Western Pacific" published by the Geophysical Research Letters (doi:10.1029/2020GL089311). Please let me know if you need any more information.
DOI: 10.5517/ccdc.csd.cc2d22cy
title: CCDC 2206529: Experimental Crystal Structure Determination

description: Related Article: Rajata Kumar Sahoo, Nabin Sarkar, Sharanappa Nembenna|2022|Inorg.Chem.|62|304|doi:10.1021/acs.inorgchem.2c03389
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.cc2d4fll
title: CCDC 2208799: Experimental Crystal Structure Determination

description: Related Article: Rajata Kumar Sahoo, Nabin Sarkar, Sharanappa Nembenna|2022|Inorg.Chem.|62|304|doi:10.1021/acs.inorgchem.2c03389
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: 10.5281/zenodo.4422130
title: Linking Seasonal-to-Interannual Variability of Intermediate Currents in the Southwest Tropical Pacific to Wind Forcing and ENSO

description: This dataset contains zonal velocity data observed by the mooring at 142E/0,142E,1S,141.4E/1.7S. It is supplementary of the paper "<strong>Linking Seasonal-to-Interannual Variability of Intermediate Currents in the Southwest Tropical Pacific to Wind Forcing and ENSO</strong>" published by the Geophysical Research Letters (https://doi.org/10.1029/2021GL092440). Please let me know if you need any more information.
DOI: 10.5281/zenodo.4422129
title: Linking Seasonal-to-Interannual Variability of Intermediate Currents in the Southwest Tropical Pacific to Wind Forcing and ENSO

description: This dataset contains zonal velocity data observed by the mooring at 142E/0,142E,1S,141.4E/1.7S. It is supplementary of the paper "<strong>Linking Seasonal-to-Interannual Variability of Intermediate Currents in the Southwest Tropical Pacific to Wind Forcing and ENSO</strong>" published by the Geophysical Research Letters (https://doi.org/10.1029/2021GL092440). Please let me know if you need any more information.
DOI: 10.6084/m9.figshare.21861978
title: Metagenome assembled genomes of Alnus viridis spp. Fruticose nodules

description: Table1. Sequencing output from nodule metagenomes Table2. Quality metrics for metagenome assembled genomes of Alnus viridis spp. Fruticose nodules. Binning methods are MaxBin2 v2.2.5,MetaBAT version 2.12.1, CONCOCT v 1.1.0 ,CheckM v1.1.10 , GTDB database R06-RS202, GTDB-tk version v1.5.0
DOI: 10.6084/m9.figshare.21861978.v1
title: Metagenome assembled genomes of Alnus viridis spp. Fruticose nodules

description: Table1. Sequencing output from nodule metagenomes Table2. Quality metrics for metagenome assembled genomes of Alnus viridis spp. Fruticose nodules. Binning methods are MaxBin2 v2.2.5,MetaBAT version 2.12.1, CONCOCT v 1.1.0 ,CheckM v1.1.10 , GTDB database R06-RS202, GTDB-tk version v1.5.0
DOI: 10.5281/zenodo.7224905
title: Banding Patches Dataset with Corresponding Banded and Pristine Pairs

description: Contains 51,490 pairs of matching banded and pristine image patches of size 256x256.
DOI: 10.5281/zenodo.7224906
title: Banding Patches Dataset with Corresponding Banded and Pristine Pairs

description: Contains 51,490 pairs of matching banded and pristine image patches of size 256x256.
DOI: 10.5281/zenodo.7523428
title: Simulated muon track data in the MuonPortal tomography detector

description: Muon track data (hits per plane) simulated with GEANT4 in the MuonPortal detector, in different tomography materials and scenarios inside the inspected volume.
DOI: 10.5281/zenodo.7523427
title: Simulated muon track data in the MuonPortal tomography detector

description: Muon track data (hits per plane) simulated with GEANT4 in the MuonPortal detector, in different tomography materials and scenarios inside the inspected volume.
DOI: 10.5281/zenodo.7523443
title: Data for : Oral microbial communities in children, caregivers, and associations with salivary biomeasures and environmental tobacco smoke exposure.

description: Data for : Oral microbial communities in children, caregivers, and associations with salivary biomeasures and environmental tobacco smoke exposure. Amplicon Sequence Variant table of oral microbiomes analyzed through 16S rRNA sequencing. Contains unique ASV_ID, named_IDs, SILVA taxonomy and counts for each ASV. Sample names are along the top row. This dataset will also be known as Supplemental File SF1 in the eventual accompanying publication.
DOI: 10.5281/zenodo.7523442
title: Data for : Oral microbial communities in children, caregivers, and associations with salivary biomeasures and environmental tobacco smoke exposure.

description: Data for : Oral microbial communities in children, caregivers, and associations with salivary biomeasures and environmental tobacco smoke exposure. Amplicon Sequence Variant table of oral microbiomes analyzed through 16S rRNA sequencing. Contains unique ASV_ID, named_IDs, SILVA taxonomy and counts for each ASV. Sample names are along the top row. This dataset will also be known as Supplemental File SF1 in the eventual accompanying publication.
DOI: 10.34740/kaggle/dsv/4836096
title: BBC News
DOI: 10.5519/qd.1euzr46p
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1300 records)
DOI: 10.5281/zenodo.7523448
title: PERTEMUAN KE 2_12 PERTEMUAN 2023_OBJEK PPH DAN BUKAN OBJEK PPh_UNIVERSITAS WIJAYA PUTRA_PRIGEN_18.00-20.30

description: <strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong> Mahasiswa Mampu menjelaskan : Objek PPh; Bukan Objek PPh; Objek Yang dikenakan PPh final <strong>Indikator</strong><strong> </strong><strong>Pembelajaran</strong> Objek PPh 1.Objek PPh; 2.Bukan Objek PPh; 3.Objek Yang Dikenakan PPh Final 4. Latihan kasus.
description: PERTEMUAN KE 2_12 PERTEMUAN 2023_OBJEK PPH DAN BUKAN OBJEK PPh_UNIVERSITAS WIJAYA PUTRA_PRIGEN_18.00-20.30
DOI: 10.5281/zenodo.7523447
title: PERTEMUAN KE 2_12 PERTEMUAN 2023_OBJEK PPH DAN BUKAN OBJEK PPh_UNIVERSITAS WIJAYA PUTRA_PRIGEN_18.00-20.30

description: <strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong> Mahasiswa Mampu menjelaskan : Objek PPh; Bukan Objek PPh; Objek Yang dikenakan PPh final <strong>Indikator</strong><strong> </strong><strong>Pembelajaran</strong> Objek PPh 1.Objek PPh; 2.Bukan Objek PPh; 3.Objek Yang Dikenakan PPh Final 4. Latihan kasus.
description: PERTEMUAN KE 2_12 PERTEMUAN 2023_OBJEK PPH DAN BUKAN OBJEK PPh_UNIVERSITAS WIJAYA PUTRA_PRIGEN_18.00-20.30
DOI: 10.26188/21862119
title: all experimental data revised.xlsx

description: Revised data for Richardson et al
DOI: 10.26188/21862119.v1
title: all experimental data revised.xlsx

description: Revised data for Richardson et al
DOI: 10.25912/rdf_1673400515569
title: Industry Type, Skilled Employment and Income: Kelvin Grove Urban Village, Macquarie Park Innovation District, Monash Technology Precinct
DOI: 10.6084/m9.figshare.14173466.v1
title: Data from: Are weak dispersers more vulnerable than strong dispersers to land use intensification?

description: Tab-delimited, plain-text data files and R scripts. Please see "Metadata.txt" for details. <br> Abstract from associated paper (https://doi.org/10.1098/rspb.2022.0909): Ecologists often state that weak dispersers are particularly at risk from land use intensification, and that they therefore should be prioritized for conservation. We reviewed the empirical evidence, to evaluate whether this idea should be used as a general rule in conservation. While 89% of authors predicted that weak dispersers are more vulnerable to land use intensification (80/90 papers), only 56% of reported tests (235/422) were consistent with this prediction. Thirty per cent of tests (128/422) were consistent with the opposite prediction, that strong dispersers are more vulnerable to intensification, and 60% of articles (45/75) had at least one test where strong dispersers were most vulnerable. The likelihood of finding that weak dispersers are more vulnerable to intensification than strong dispersers varied with latitude, taxonomic group and type of land use intensification. Notably, the odds of finding that weak dispersers are more vulnerable to intensification than strong dispersers was higher if the study was nearer to the equator. Taken together, our results show that the prediction that weak dispersers are more vulnerable than strong dispersers to intensification is not sufficiently supported to justify using weak dispersal as a general indicator of species risk in human-modified landscapes.
DOI: 10.6084/m9.figshare.21862401
title: TF binding sites in JASPAR 2022

description: This series of datasets contain four qsave files from JASPAR 20022, including: TFBS for hg38 TFBS for hg19 TFBS for mm9 TFBS for mm10
DOI: 10.6084/m9.figshare.21862401.v1
title: TF binding sites in JASPAR 2022

description: This series of datasets contain four qsave files from JASPAR 20022, including: TFBS for hg38 TFBS for hg19 TFBS for mm9 TFBS for mm10
DOI: 10.34740/kaggle/dsv/4836212
title: OntoUML/UFO Catalog