cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17171/1-1-253
title: Image of Dialface ID 23
title: Pompei Inventory Nr. 6100

description: Photographs of the sundial, Pompei (object-ID 23 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 12.09.2013.
description: Ancient Sundials
DOI: 10.17171/1-1-255
title: 3D-Model of Dialface ID 23
title: Pompei Inventory Nr. 6100

description: 3D Model of the sundial from the campaign at Pompei, Italy (object-ID 23 in the database on Greek and Roman sundials BSDP0001); generated with ATOS Compact Scan 5M; date: September 2013.
description: Ancient Sundials
DOI: 10.17171/1-1-258
title: Dialface ID 23
title: Point Selection

description: Surfaces extracted from model BSDP0250 (ObjID 23)
description: Ancient Sundials
DOI: 10.17171/1-1-262
title: Dialface ID 23
title: Point Selection

description: Surfaces extracted from model BSDP0250 (ObjID 23)
description: Ancient Sundials
DOI: 10.17171/1-1-263
title: Dialface ID 23
title: Point Selection

description: Surfaces extracted from model BSDP0250 (ObjID 23)
description: Ancient Sundials
DOI: 10.17171/1-1-266
title: Dialface ID 23
title: Point Selection

description: Surfaces extracted from model BSDP0250 (ObjID 23)
description: Ancient Sundials
DOI: 10.17171/1-1-267
title: Dialface ID 23
title: Point Selection

description: Surfaces extracted from model BSDP0250 (ObjID 23)
description: Ancient Sundials
DOI: 10.17171/1-1-270
title: Dialface ID 23
title: Point Selection

description: Surfaces extracted from model BSDP0250 (ObjID 23)
description: Ancient Sundials
DOI: 10.17171/1-1-272
title: Dialface ID 23
title: Point Selection

description: Surfaces extracted from model BSDP0250 (ObjID 23)
description: Ancient Sundials
DOI: 10.17171/1-1-274
title: Dialface ID 23
title: Point Selection

description: Surfaces extracted from model BSDP0250 (ObjID 23)
description: Ancient Sundials
DOI: 10.17171/1-1-276
title: Dialface ID 23
title: Point Selection

description: Surfaces extracted from model BSDP0250 (ObjID 23)
description: Ancient Sundials
DOI: 10.17171/1-1-283
title: Image of Dialface ID 25
title: Pompei Inventory Nr. 34218

description: Photographs of the sundial, Pompei (object-ID 25 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 12.09.2013.
description: Ancient Sundials
DOI: 10.17171/1-1-287
title: Image of Dialface ID 25
title: Pompei Inventory Nr. 34218

description: Photographs of the sundial, Pompei (object-ID 25 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 12.09.2013.
description: Ancient Sundials
DOI: 10.17171/1-1-288
title: Image of Dialface ID 25
title: Pompei Inventory Nr. 34218

description: Photographs of the sundial, Pompei (object-ID 25 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 12.09.2013.
description: Ancient Sundials
DOI: 10.17171/1-1-290
title: Image of Dialface ID 25
title: Pompei Inventory Nr. 34218

description: Photographs of the sundial, Pompei (object-ID 25 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 12.09.2013.
description: Ancient Sundials
DOI: 10.17171/1-1-293
title: Image of Dialface ID 25
title: Pompei Inventory Nr. 34218

description: Photographs of the sundial, Pompei (object-ID 25 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 12.09.2013.
description: Ancient Sundials
DOI: 10.17171/1-1-297
title: Dialface ID 25
title: Point Selection

description: Surfaces extracted from model BSDP0252 (ObjID 25)
description: Ancient Sundials
DOI: 10.17171/1-1-302
title: Dialface ID 25
title: Point Selection

description: Surfaces extracted from model BSDP0252 (ObjID 25)
description: Ancient Sundials
DOI: 10.17171/1-1-329
title: Image of Dialface ID 27
title: Pompei Inventory Nr. 44295

description: Photographs of the sundial, Pompei (object-ID 27 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 12.09.2013.
description: Ancient Sundials
DOI: 10.17171/1-1-65
title: Dialface ID 17
title: Point Selection

description: Surfaces extracted from model BSDP0432 (ObjID 17)
description: Ancient Sundials
DOI: 10.17171/1-1-66
title: Dialface ID 17
title: Point Selection

description: Surfaces extracted from model BSDP0432 (ObjID 17)
description: Ancient Sundials
DOI: 10.17171/1-1-93
title: Image of Dialface ID 18
title: London Inventory Nr. 2547

description: Photographs of the sundial Inv. Nr. 2547 of the Object-ID 18 in the database on Greek and Roman sundials (BSDP0001). Camera: Nikon D5100; date: 19.8.2012. Note: These photos were solely made for generating 3D-data and not meant to serve as illustrations.
description: Ancient Sundials
DOI: 10.17171/1-1-141
title: Image of Dialface ID 20
title: Pompei Inventory Nr. 34222

description: Photographs of the sundial Inv. Nr. 34222 of the (object-ID 20 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 12.09.2012.
description: Ancient Sundials
DOI: 10.17171/1-1-143
title: Image of Dialface ID 20
title: Pompei Inventory Nr. 34222

description: Photographs of the sundial Inv. Nr. 34222 of the (object-ID 20 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 12.09.2012.
description: Ancient Sundials
DOI: 10.17171/1-1-169
title: Image of Dialface ID 21
title: Pompei Inventory Nr. 34221

description: Photographs of the sundial, Pompei (object-ID 21 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 12.09.2013.
description: Ancient Sundials
DOI: 10.17171/1-1-179
title: Dialface ID 21
title: Point Selection

description: Surfaces extracted from model BSDP0246 (ObjID 21)
description: Ancient Sundials
DOI: 10.17171/1-1-188
title: Dialface ID 21
title: Point Selection

description: Surfaces extracted from model BSDP0246 (ObjID 21)
description: Ancient Sundials
DOI: 10.17171/1-1-194
title: Dialface ID 21
title: Point Selection

description: Surfaces extracted from model BSDP0246 (ObjID 21)
description: Ancient Sundials
DOI: 10.17171/1-1-196
title: Dialface ID 21
title: Point Selection

description: Surfaces extracted from model BSDP0246 (ObjID 21)
description: Ancient Sundials
DOI: 10.17171/1-1-200
title: Dialface ID 21
title: Point Selection

description: Surfaces extracted from model BSDP0246 (ObjID 21)
description: Ancient Sundials
DOI: 10.17171/1-1-201
title: Dialface ID 21
title: Point Selection

description: Surfaces extracted from model BSDP0246 (ObjID 21)
description: Ancient Sundials
DOI: 10.17171/1-1-212
title: Image of Dialface ID 22
title: Pompei Inventory Nr. 49727

description: Photographs of the sundial Inv. Nr. 49727 of the (object-ID 22 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 12.09.2012.
description: Ancient Sundials
DOI: 10.17171/1-1-213
title: Image of Dialface ID 22
title: Pompei Inventory Nr. 49727

description: Photographs of the sundial Inv. Nr. 49727 of the (object-ID 22 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 12.09.2012.
description: Ancient Sundials
DOI: 10.17171/1-1-216
title: Image of Dialface ID 22
title: Pompei Inventory Nr. 49727

description: Photographs of the sundial Inv. Nr. 49727 of the (object-ID 22 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 12.09.2012.
description: Ancient Sundials
DOI: 10.5517/ccdc.csd.cc28yqfd
title: CCDC 2113934: Experimental Crystal Structure Determination

description: Related Article: Guangying Tan, Mowpriya Das, Hyeyun Keum, Peter Bellotti, Constantin Daniliuc, Frank Glorius|2022|Nature Chemistry|14|1174|doi:10.1038/s41557-022-01008-w
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.cc28yqgf
title: CCDC 2113935: Experimental Crystal Structure Determination

description: Related Article: Guangying Tan, Mowpriya Das, Hyeyun Keum, Peter Bellotti, Constantin Daniliuc, Frank Glorius|2022|Nature Chemistry|14|1174|doi:10.1038/s41557-022-01008-w
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.cc290tfl
title: CCDC 2115949: Experimental Crystal Structure Determination

description: Related Article: Guangying Tan, Mowpriya Das, Hyeyun Keum, Peter Bellotti, Constantin Daniliuc, Frank Glorius|2022|Nature Chemistry|14|1174|doi:10.1038/s41557-022-01008-w
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.cc28zt03
title: CCDC 2114975: Experimental Crystal Structure Determination

description: Related Article: Guangying Tan, Mowpriya Das, Hyeyun Keum, Peter Bellotti, Constantin Daniliuc, Frank Glorius|2022|Nature Chemistry|14|1174|doi:10.1038/s41557-022-01008-w
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.7131005
title: CELAC-Biodiverisity

description: CELAC countries involved: Ecuador, Bolivia, Brazil
DOI: 10.5281/zenodo.7131004
title: CELAC-Biodiverisity

description: CELAC countries involved: Ecuador, Bolivia, Brazil
DOI: 10.6084/m9.figshare.21256497
title: Transcripts of interviews with community pharmacists

description: The dataset provides the de-identified transcripts of the interviews conducted with selected community pharmacists regarding the factors affecting their counselling of patients about topical corticosteroids.
DOI: 10.6084/m9.figshare.21256497.v2
title: Transcripts of interviews with community pharmacists

description: The dataset provides the de-identified transcripts of the interviews conducted with selected community pharmacists regarding the factors affecting their counselling of patients about topical corticosteroids.
DOI: 10.6084/m9.figshare.21256497.v1
title: Transcripts of interviews with community pharmacists

description: The dataset provides the de-identified transcripts of the interviews conducted with selected community pharmacists regarding the factors affecting their counselling of patients about topical corticosteroids.
DOI: 10.6084/m9.figshare.14701728.v1
title: Elevation drives taxonomic turnover of phyllostomid bats in the Amazon biome

description: The dataset has all the shapefiles, tables, codes and other necessary files to replicate all analyses in the manuscript (currently submitted for publication).
DOI: 10.34740/kaggle/dsv/2658255
title: Bay Wheels System Data Full - August 2021
DOI: 10.25919/w1ha-y352
title: Parkes observations for project P1041 semester 2022APRS_10

description: We propose to carry out a long-term timing campaign of millisecond pulsars (MSPs) discovered in the Globular Cluster Omega Centauri. So far, we have discovered seven MSPs and obtained coherent timing solutions for five of them. Monthly observations with the Parkes Ultra-Wideband Low (UWL) receiver system are requested to time known pulsars and search for new pulsars. Long-term timing and polarisation observations of these MSPs will provide us a new way to (1) study the dynamics of the core and constrain the existence of any intermediate-mass black holes; (2) reveal the origin of Gamma-ray emission from the core and put stringent constraints on dark matter parameters; (3) study Galactic ionised medium and magnetic fields on parsec scales.
DOI: 10.25493/kabe-gs0
title: Electrophysiological recordings in macaque V1 during passive viewing of full and occluded natural scenes (v1)

description: The data consists of electrophysiological recordings in the primary visual cortex (V1) of two macaque monkeys during passive viewing. We used a dataset of 24 natural scenes and a version of the same images with the bottom-right quadrant occluded with a white rectangle. Images spanned several categories: beaches, buildings, forests, highways, industry, and mountains. We recorded multi-unit neuronal activity from 144 recording sites in V1 in monkey B (6 5x5 Utah arrays) and 896 in monkey L (14 8x8 Utah arrays). We included in the final dataset, only recordings sites with SNR &gt;1 whose receptive field were fully inside the area occupied by the white occluder, leading to a total of 175 recording sites (18 and 153 in each monkey respectively).
DOI: 10.25493/z7yx-7w2
title: Evaluating consequences in decision-making: behavioral data and neural recordings from monkey premotor and prefrontal cortex (v1)

description: Goal-oriented interactions with the environment often require that actions are organized in a sequence to anticipate the consequences of each step in the complex decision-making process. Sometimes the ideal choice is not the most immediately convenient. In such cases, efficient results are obtained by selecting an immediate loss against the guarantee of a greater future gain. The goal of the present experiment was to study how the evaluation of the consequence on a multi-step process is reflected in the brain activity of areas known to be involved in decision-making. We trained one macaque monkey (9.5 – 10.5 kg, 16 years) in performing a task consisting of two successive trials (trial 1 and trial 2) combined in one episode, in which the amount of reward received in trial 2 was influenced by the choice in trial 1. Neuronal activity was simultaneously recorded by two multielectrode arrays (n = 96 channels) implanted in the dorsal premotor cortex and dorsolateral prefrontal cortex. We share behavioral (arm reaction times and performance) and neural data (offline processed unit activity; spike series). In addition to the general reuse value, the data can be used to evaluate and test the implemented analysis pipeline.
DOI: 10.25493/cayc-156
title: The role of reward expectation in the modulation of inhibitory control: behavior data and neural recordings from monkey premotor area (v1)

description: The goal of the experiment is to evaluate the role of reward expectation on decision-making. Two animals (Macaca mulatta) have been trained to perform a modified version of the reaching stop-signal task in which the motor decision was influenced by the information provided by visual cues presented at the beginning of each trial. We recorded behavioral data (arm reaction times and performance) together with neural data. Neural recording was obtained from multielectrode arrays (n = 96 channels) chronically implanted in the dorsal premotor area and processed for single unit extraction. At this stage, we share a subset (from subject 1; 9.0 – 10.0 kg, 8 years) of the final dataset that can be used to evaluate and test the implemented analysis pipeline.
DOI: 10.6084/m9.figshare.16574852.v2
title: Horizontal variation in water chemistry and its relationship with phytoplankton and invertebrate communities in Lake Kwania

description: Data was obtained sampling carried out on Lake Kwania, the second largest lake in the Kyoga aquatic system. Sampling was conducted four times between September 2016 and June 2017, covering at least one of the wet (September 2016) and dry seasons (January, February, and June 2017). Water chemistry parameters including; dissolved oxygen, temperature, pH and electrical conductivity were measured <i>in situ</i> at the different sites using the HQ40d portable HACH Multiprobe. Depth profiles for the selected parameters represented only data captured in June 2017. Light transparency was measured using a Secchi disc of 25 cm wide diameter. Water samples for Chlorophyll a concentration determination were collected at 0.5 m below the surface, and analysed using methanol extraction (Stainton et al., 1977). Water samples for nutrient analysis were drawn using a 2L Van Dorn sampler and analysed using various standard methods as set out in Wetzel & Likens (2000).
DOI: 10.6084/m9.figshare.19229262.v1
title: Data File 1

description: List of commercially available DLP devices with pixel count and frame rate specifications.
DOI: 10.6084/m9.figshare.19229262
title: Data File 1

description: List of commercially available DLP devices with pixel count and frame rate specifications.
DOI: 10.5281/zenodo.7131051
title: ZTF processed light curves

description: <strong><em>ZTF_all.csv</em></strong>: Catalog of the ~ 7 million ZTF periods measured <em>source_id</em>: gaia EDR3 source ID <em>Prot_all</em>: measured period from the entire light curve in days <em>Prot_1</em>: measured period from the first season light curve in days <em>Prot_2</em>: measured period from the second season light curve in days <em>Prot_3</em>: measured period from the third season light curve in days <em>Prot_4</em>: measured period from the fourth season light curve in days <em>maxpower_all</em>: normalized maximum LS power from the entire light curve <em>maxpower_1</em>: normalized maximum LS power from the first season light curve <em>maxpower_2</em>: normalized maximum LS power from the second season light curve <em>maxpower_3</em>: normalized maximum LS power from the third season light curve <em>maxpower_4</em>: normalized maximum LS power from the fourth season light curve <em>ra</em>: right ascension from gaia eDR3 in deg <em>dec</em>: declination from gaia eDR3 in deg <em>bprp</em>: bprp from gaia eDR3 <em>abs_G</em>: absolute magnitude from gaia eDR3 <em>parallax</em>: parallax from gaia eDR3 <em>ruwe</em>: ruwe number from gaia eDR3 <em><strong>source_id.csv</strong></em>: source_id to ztf file name <em>source_id</em>: gaia eDR3 source ID <em>filename</em>: file that contains the light curve associated with the source_id <em><strong>ZTFlc.zip</strong></em>: processed light curves Contain multiple .tgz files with processed light curves with the naming convention of &lt;source_id&gt;.pkl. One can use the source_id.csv file to find the .tgz file that contains the light curve with a specific gaia source_id. For each light curve pickle file, it contains the following columns: <em>lctime</em>: processed light curve times <em>lcmag</em>: processed normalized magnitudes <em>orglctime</em>: original light curve times <em>orglcmag</em>: original light curve magnitudes pandas version used to save the .pkl files: 1.4.2
DOI: 10.5281/zenodo.7131050
title: ZTF processed light curves

description: <strong><em>ZTF_all.csv</em></strong>: Catalog of the ~ 7 million ZTF periods measured <em>source_id</em>: gaia EDR3 source ID <em>Prot_all</em>: measured period from the entire light curve in days <em>Prot_1</em>: measured period from the first season light curve in days <em>Prot_2</em>: measured period from the second season light curve in days <em>Prot_3</em>: measured period from the third season light curve in days <em>Prot_4</em>: measured period from the fourth season light curve in days <em>maxpower_all</em>: normalized maximum LS power from the entire light curve <em>maxpower_1</em>: normalized maximum LS power from the first season light curve <em>maxpower_2</em>: normalized maximum LS power from the second season light curve <em>maxpower_3</em>: normalized maximum LS power from the third season light curve <em>maxpower_4</em>: normalized maximum LS power from the fourth season light curve <em>ra</em>: right ascension from gaia eDR3 in deg <em>dec</em>: declination from gaia eDR3 in deg <em>bprp</em>: bprp from gaia eDR3 <em>abs_G</em>: absolute magnitude from gaia eDR3 <em>parallax</em>: parallax from gaia eDR3 <em>ruwe</em>: ruwe number from gaia eDR3 <em><strong>source_id.csv</strong></em>: source_id to ztf file name <em>source_id</em>: gaia eDR3 source ID <em>filename</em>: file that contains the light curve associated with the source_id <em><strong>ZTFlc.zip</strong></em>: processed light curves Contain multiple .tgz files with processed light curves with the naming convention of &lt;source_id&gt;.pkl. One can use the source_id.csv file to find the .tgz file that contains the light curve with a specific gaia source_id. For each light curve pickle file, it contains the following columns: <em>lctime</em>: processed light curve times <em>lcmag</em>: processed normalized magnitudes <em>orglctime</em>: original light curve times <em>orglcmag</em>: original light curve magnitudes pandas version used to save the .pkl files: 1.4.2
DOI: 10.34740/kaggle/dsv/4269468
title: BBC News
DOI: 10.6084/m9.figshare.20523591
title: Genome_Resequencing

description: Genome resequencing of iron and sulfur-adapted cultures of strain CCM 4253
DOI: 10.6084/m9.figshare.20523591.v1
title: Genome_Resequencing

description: Genome resequencing of iron and sulfur-adapted cultures of strain CCM 4253
DOI: 10.34740/kaggle/dsv/4269499
title: OntoUML/UFO Catalog
DOI: 10.18141/1860297
title: URC assessment method publication - Supplementary files

description: Supplementary files associated with the Unconventional Rare earth and Critical minerals (URC) Resource Assessment method publication (Link/DOI to publication TBD).
DOI: 10.18141/1890176
title: NEWTS USGS Brackish Water Case Studies

description: Case studies from the USGS Brackish Water Database. Includes OLI Studio and Geochemist's Workbench files. Original data from: Qi, S.L., and Harris, A.C., 2017, Geochemical Database for the Brackish Groundwater Assessment of the United States: U.S. Geological Survey data release, https://doi.org/10.5066/F72F7KK1.
DOI: 10.18141/1890180
title: NEWTS USGS Produced Waters Case Studies

description: Case studies from the USGS Produced Waters Database. Includes OLI Studio and Geochemist's Workbench files. Original data from: Blondes, M. S., Gans, K. D., Engle, M. A., Kharaka, Y. K., Reidy, M. E., Saraswathula, V., Thordsen, J. J., Rowan, E. L., & Morrissey, E. A. (2019). U.S. Geological Survey National Produced Waters Geochemical Database v2.3 [Data set]. U.S. Geological Survey. https://doi.org/10.5066/F7J964W8
DOI: 10.6084/m9.figshare.14445423
title: Inside-Ellipsoid Outside-Sphere (IEOS) Model for General Bilinear Feasibility Problems: Feasibility Analysis and Solution Algorithm

description: The files indicates the detailed results of the proposed approach compared to another that solve BMI problems of NMF factorization and power flow
DOI: 10.6084/m9.figshare.21256599
title: Water shortage data.xlsx

description: These data were collected during my research funded by the Aus4Skills Program of the Australian government. I examined determinants of water insecurity in a rural area in Vietnam.
DOI: 10.6084/m9.figshare.21256599.v1
title: Water shortage data.xlsx

description: These data were collected during my research funded by the Aus4Skills Program of the Australian government. I examined determinants of water insecurity in a rural area in Vietnam.
DOI: 10.34740/kaggle/dsv/4269636
title: Russian Invasion of Ukraine
DOI: 10.34740/kaggle/dsv/4269638
title: lncRNA of pediatric SARS-CoV-2
DOI: 10.5281/zenodo.7127734
title: Learning the Stress-Strain Fields in Digital Composites using Fourier Neural Operator

description: This is the dataset for the research paper "Learning the Stress-Strain Fields in Digital Composites using Fourier Neural Operator"
DOI: 10.5281/zenodo.7127733
title: Learning the Stress-Strain Fields in Digital Composites using Fourier Neural Operator

description: This is the dataset for the research paper "Learning the Stress-Strain Fields in Digital Composites using Fourier Neural Operator"