cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/8cb1e3d1312f2034e2345f62eb455403
title: Data from "Evaluating top-down, bottom-up, and environmental drivers of pelagic food web dynamics along an estuarine gradient"

description: Synthesized fish, benthic invertebrate, and water quality dataset used for analysis in: Rogers, T., S. Bashevkin, C. Burdi, D. Colombano, P. Dudley, B. Mahardja, L. Mitchell, S. Perry, and P. Saffarinia. 2022. Evaluating top-down, bottom-up, and environmental drivers of pelagic food web dynamics along an estuarine gradient. preprint, EcoEvoRxiv. https://doi.org/10.32942/X2MK5Z
DOI: 10.3886/c4k8-0992
title: Albania Threshold - Thresholds I & II: Final Data Set (Business Impact Survey)
DOI: 10.3886/9wqz-9b15
title: Albania Threshold - Thresholds I & II: Final Data Set (Business Impact Survey)
DOI: 10.15482/usda.adc/1528392
title: Data from: A checklist of South Dakota bumble bees (Hymenoptera: Apidae)

description: Data files for manuscript titled "A checklist of South Dakota bumble bees (Hymenoptera: Apidae) ", https://doi.org/10.3897/jhr.94.94584.
Excel file with 4 tabs: Metadata, county maps, species data, and species matrix. Metadata is contained within Excel file that describes all variables for each tab.
Abstract from paper:
Several bumble bee species (Bombus Latreille) are declining and efforts to conserve populations will be strengthened by an improved knowledge of their geographic distribution. Knowledge gaps exist, however, especially in central portions of North America. Here we report 29 species of bumble bees from South Dakota in the north-central USA, based on 130 years of records from 1891 to 2021. Specimens or observations were available for &gt;90% of the 66 counties, though they were not distributed evenly as most records came from Pennington, Lawrence, Custer, Brookings, and Day Counties. The five most commonly collected or reported bumble bee species were B. griseocollis (54 counties), B. pensylvanicus (41 counties), B. fervidus (39 counties), B. huntii (27 counties), and B. bimaculatus (25 counties). Twenty species were recorded from 10 or fewer counties. Despite differences in occurrence, 66% of the Bombus species in South Dakota were collected or observed since 2020, including six of the nine species of conservation concern (B. fraternus, B. pensylvanicus, B. fervidus, B. occidentalis, B. terricola, and B. morrisoni). However, the critically endangered B. affinis, B. variabilis, and B. suckleyi have not been collected or observed for over 50 years. While this checklist is the first for South Dakota bumble bees in nearly 100 years, data are still lacking as ~55% of counties had fewer than five species reported. We suggest future efforts should focus on these under-sampled areas to fill in baseline knowledge of the wild bee fauna towards completing a more holistic view of bumble bee distributions across the Great Plains.
DOI: 10.5517/ccdc.csd.cc28792x
title: CCDC 2092378: Experimental Crystal Structure Determination

description: Related Article: Dumitru Stati, Jan van Leusen, Naushad Ahmed, Victor Ch. Kravtsov, Paul Kögerler, Svetlana G. Baca|2022|Cryst.Growth Des.|23|395|doi:10.1021/acs.cgd.2c01085
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.3761562.v2446
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.7504719
title: Online Fusion of Multi-resolution Multispectral Images with Weakly Supervised Temporal Dynamics

description: This is the data set for experiments of satellite images of Oroville dam site in paper: Online Fusion of Multi-resolution Multispectral Images with Weakly Supervised Temporal Dynamics. Inside the zip file, there are 3 folders: 'HD-IMG-Database-Landsat-8', 'HD-IMG-Database-Landsat-8-Qest' and 'MODIS_250'.
DOI: 10.5281/zenodo.7504718
title: Online Fusion of Multi-resolution Multispectral Images with Weakly Supervised Temporal Dynamics

description: This is the data set for experiments of satellite images of Oroville dam site in paper: Online Fusion of Multi-resolution Multispectral Images with Weakly Supervised Temporal Dynamics. Inside the zip file, there are 3 folders: 'HD-IMG-Database-Landsat-8', 'HD-IMG-Database-Landsat-8-Qest' and 'MODIS_250'.
DOI: 10.21227/8a7x-9408
title: Supplement media for Personalized Symmetrical and Asymmetrical Gait Generation of a Lower-limb Exoskeleton

description: Personal assistive devices for rehabilitation will be in increasing demand during the coming decades due to demographic change, i.e., an aging society. Among the elderly population, difficulty in walking is the most common problem. Even though there are commercially available lower-limb exoskeleton systems, the coordination between user and device still needs to be improved to achieve versatile personalized gait. To tackle this issue, an advanced EXOskeleton framework for Versatile personalized gaIt generation with a Seamless user-exo interface (called "EXOVIS") is proposed in this study. The main control of the framework uses adaptive bio-inspired modular neural mechanisms. These mechanisms include decoupled central pattern generators (CPGs) with Hebbian-based synaptic plasticity and adaptive CPG post-processing networks with error-based learning. The control method facilitates the rapid online learning of personalized walking gaits described by the walking frequency as well as hip, knee, and ankle joint patterns. The method is verified on a real lower-limb exoskeleton system with six degrees of freedom (DOFs) on different subjects under static and dynamic conditions such as flat terrain and a split-belt treadmill. The results show that the proposed method can not only automatically learn to generate personalized symmetrical gaits, but also asymmetrical gaits, which have not been explicitly shown by other approaches so far.
DOI: 10.5281/zenodo.7504375
title: Simulation code and results for "Critical behavior and the Kibble-Zurek mechanism in a musical phase transition"

description: Matlab simulation code and results for "Critical behavior and the Kibble-Zurek mechanism in a musical phase transition." See readme.txt for descriptions of all files.
DOI: 10.5281/zenodo.7504373
title: Simulation code and results for "Critical behavior and the Kibble-Zurek mechanism in a musical phase transition"

description: Matlab simulation code and results for "Critical behavior and the Kibble-Zurek mechanism in a musical phase transition." See readme.txt for descriptions of all files.
DOI: 10.5281/zenodo.7489982
title: Radiation Performance Data of the Fast-, Light-cured Plastic Scintillator Formulations

description: This repository contains the waveforms from the CAEN DT5730 digitizer of the fast-, light-cured plastic scintillators for the different formulations used in the two level-factorial parameter study (AFIT101-130) and ethanol treatment study (AFIT220-230). Each scintillator was wrapped with two layers of MIL-T-27730A PTFE tape and coupled to a 2" Hamamatsu R7724 PMT biased at -1050 V. The signals were recorded using CAEN CoMPASS software on a CAEN DT5730 digitizer while the scintillators were exposed to Na-22, Cs-137, and AmBe radiation sources. Some of the scintillator formulations were measured more than once, but due to the limitations of the data that can be saved in this repository, not all the experimental data is included; however, this repository consists of the data closest to the average performance of each scintillator. Additionally, the EJ-276 dataset is included.<br> <br> The table below lists the weight percentage of the compounds in each scintillator formulations. The compounds for each formulation were weighed and placed into a 20 mL reaction vial. The compounds were thoroughly mixed together using an alternating combination of an ultrasonic bath and hot plate to gently warm the mixture. To reduce oxygen-induced quenching, the reaction vial was transferred to a glove box pressurized with a nitrogen atmosphere and dissolved oxygen was removed by sparging with nitrogen for 10 min. The reaction vial was sealed before removal from the glove box. Next, the resin solution was cured using a commercially-available 405 nm Formlabs Form Cure for 5 mins and Dymax BlueWave AX-550 VisiCure for 4 mins.<br> Finally, all solid scintillators were sanded and polished using 180 grit, 400 grit, 1000 grit, and 2000 grit sandpaper and a 300~nm alumina slurry. Scintillator DIN PPO Exalite IBOA HDDMA BPADMA TPO AFIT101 - 30 0.2 49 21 - 0.1 AFIT102 10 20 0.2 49 21 - 0.1 AFIT103 20 10 0.2 49 21 - 0.1 AFIT104 30 - 0.2 49 21 - 0.1 AFIT105 - 30 0.2 49 14 7 0.1 AFIT106 10 20 0.2 49 14 7 0.1 AFIT107 20 10 0.2 49 14 7 0.1 AFIT109 - 30 0.2 49 7 14 0.1 AFIT110 10 20 0.2 49 7 14 0.1 AFIT111 20 10 0.2 49 7 14 0.1 AFIT113 - 30 0.2 49 - 21 0.1 AFIT114 10 20 0.2 49 - 21 0.1 AFIT130 15 15 0.2 49 10.5 10.5 0.1 AFIT230 - 30 0.2 49 21 - 0.1 AFIT225 5 25 0.2 49 21 - 0.1 AFIT220 10 20 0.2 49 21 - 0.1 AFIT221 10 20 0.2 49 14 7 0.1 DIN: diisopropyl naphthalene<br> PPO: 2,5-diphenyloxazole<br> Exalite: Exalite 416<br> IBOA: isobornyl acrylate<br> HDDMA: difunctionized 1,6-hexanediol dimethacrylate<br> BPADMA: bisphenol-A dimethacrylate<br> TPO: diphenyl (2,4,6-trimethylbenzoyl) phosphine oxide
DOI: 10.5281/zenodo.7489981
title: Radiation Performance Data of the Fast-, Light-cured Plastic Scintillator Formulations

description: This repository contains the waveforms from the CAEN DT5730 digitizer of the fast-, light-cured plastic scintillators for the different formulations used in the two level-factorial parameter study (AFIT101-130) and ethanol treatment study (AFIT220-230). Each scintillator was wrapped with two layers of MIL-T-27730A PTFE tape and coupled to a 2" Hamamatsu R7724 PMT biased at -1050 V. The signals were recorded using CAEN CoMPASS software on a CAEN DT5730 digitizer while the scintillators were exposed to Na-22, Cs-137, and AmBe radiation sources. Some of the scintillator formulations were measured more than once, but due to the limitations of the data that can be saved in this repository, not all the experimental data is included; however, this repository consists of the data closest to the average performance of each scintillator. Additionally, the EJ-276 dataset is included.<br> <br> The table below lists the weight percentage of the compounds in each scintillator formulations. The compounds for each formulation were weighed and placed into a 20 mL reaction vial. The compounds were thoroughly mixed together using an alternating combination of an ultrasonic bath and hot plate to gently warm the mixture. To reduce oxygen-induced quenching, the reaction vial was transferred to a glove box pressurized with a nitrogen atmosphere and dissolved oxygen was removed by sparging with nitrogen for 10 min. The reaction vial was sealed before removal from the glove box. Next, the resin solution was cured using a commercially-available 405 nm Formlabs Form Cure for 5 mins and Dymax BlueWave AX-550 VisiCure for 4 mins.<br> Finally, all solid scintillators were sanded and polished using 180 grit, 400 grit, 1000 grit, and 2000 grit sandpaper and a 300~nm alumina slurry. Scintillator DIN PPO Exalite IBOA HDDMA BPADMA TPO AFIT101 - 30 0.2 49 21 - 0.1 AFIT102 10 20 0.2 49 21 - 0.1 AFIT103 20 10 0.2 49 21 - 0.1 AFIT104 30 - 0.2 49 21 - 0.1 AFIT105 - 30 0.2 49 14 7 0.1 AFIT106 10 20 0.2 49 14 7 0.1 AFIT107 20 10 0.2 49 14 7 0.1 AFIT109 - 30 0.2 49 7 14 0.1 AFIT110 10 20 0.2 49 7 14 0.1 AFIT111 20 10 0.2 49 7 14 0.1 AFIT113 - 30 0.2 49 - 21 0.1 AFIT114 10 20 0.2 49 - 21 0.1 AFIT130 15 15 0.2 49 10.5 10.5 0.1 AFIT230 - 30 0.2 49 21 - 0.1 AFIT225 5 25 0.2 49 21 - 0.1 AFIT220 10 20 0.2 49 21 - 0.1 AFIT221 10 20 0.2 49 14 7 0.1 DIN: diisopropyl naphthalene<br> PPO: 2,5-diphenyloxazole<br> Exalite: Exalite 416<br> IBOA: isobornyl acrylate<br> HDDMA: difunctionized 1,6-hexanediol dimethacrylate<br> BPADMA: bisphenol-A dimethacrylate<br> TPO: diphenyl (2,4,6-trimethylbenzoyl) phosphine oxide
DOI: 10.15482/usda.adc/1528393
title: Data from: Reverse-zoonoses of 2009 H1N1 pandemic influenza A viruses and evolution in United States swine results in viruses with zoonotic potential

description: Influenza A virus in swine hemagglutinin (HA) gene sequence data for 9 virus strains.
DOI: 10.5066/p9citvq0
title: Geochemical data for the Thunder Mountain volcanic field and dikes in the Stibnite-Yellow Pine district region

description: This dataset contains whole rock geochemical data for volcanic rocks, both extrusive rocks of the western part of the Thunder Mountain volcanic field and hypabyssal dikes in the Stibnite-Yellow Pine district and in the Pistol Creek dike swarm, which are in central Idaho. Major oxides and trace elements are included, which are reported as percentages and parts per million, respectively. Major oxides are recalculated to a volatile-free total. Each data set has 58 or 60 single elements reported and 12 or 15 major oxides. Data file names are: Box_Challis_Volcanics_Geochemistry_ICP_ACID_FUS_and_WDXRF; Box_Challis_Volcanics_Geochemistry_ICP_AES_and_WDXRF; Box_Challis_Volcanics_Geochemistry_ICP_OES_and_WDXRF; and Box_Challis_Volcanics_Geochemistry_SHRIMP_geochron. Data are separated according to analysis method.
DOI: 10.34943/fb8db9fa-81a1-42ea-9c72-f68b932bc980
title: Strait of Georgia East Acoustic Doppler Current Profiler 150 kHz Deployed 2022-09-27

description: The RDI Workhorse Quartermaster ADCP 150 kHz (SN 24623) was deployed on 2022-09-27 at Strait of Georgia East. Strait of Georgia East refers to an eastern area of the Strait of Georgia. This device is a Acoustic Doppler Current Profiler 150 kHz. Acoustic Doppler Current Profilers (ADCP) are hydroacoustic instruments, similar to sonars. ADCPs measure current speed and direction at multiple predetermined depths simultaneously. ADCPs use the Doppler effect of sound waves that are scattered by particles in seawater over a depth range. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/1fc1d578-e8bf-465a-adb2-543a95ebae8f
title: Strait of Georgia East Acoustic Doppler Current Profiler 150 kHz Deployed 2022-09-27

description: The RDI Workhorse Quartermaster ADCP 150 kHz (SN 24623) was deployed on 2022-09-27 at Strait of Georgia East. Strait of Georgia East refers to an eastern area of the Strait of Georgia. This device is a Acoustic Doppler Current Profiler 150 kHz. Acoustic Doppler Current Profilers (ADCP) are hydroacoustic instruments, similar to sonars. ADCPs measure current speed and direction at multiple predetermined depths simultaneously. ADCPs use the Doppler effect of sound waves that are scattered by particles in seawater over a depth range. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.7504787
title: IODP Expedition 376 Interstitial water composite report

description: This composite report includes data from numerous interstitial water (IW) analyses (e.g., ICP-LIQUIDS and IONCHROM) in a variable set of columns. Each row combines the data from several tests (groups of measurements made on the same sample at the same time) for a particular IW sample. If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate analysis (ALKALINITY, ICP-LIQUIDS, IONCHROM, SALINITY, SPEC, TITRATOR, and potentially others). Major and minor elements were determined by inductively coupled plasma-atomic emission spectrocsopy (ICP-LIQUIDS). Cations and anions were measured by ion chromatography (IONCHROM). Complex ions were measured by colorimetric measurements using a UV-VIS spectrometer (SPEC). Alkalinity and chloride was measured by titration (ALKALINITY and TITRATOR). Dissolved carbon (DC), dissolved inorganic carbon (DIC), and dissolved organic carbon (DOC) were measured by combustion in a total organic carbon (TOC) analyzer. Salinity was measured by refractometer (SALINITY). pH was measured by ion-selective electrode as part of the alkalinity procedure and is reported in the ALKALINITY analysis.
DOI: 10.5281/zenodo.7504786
title: IODP Expedition 376 Interstitial water composite report

description: This composite report includes data from numerous interstitial water (IW) analyses (e.g., ICP-LIQUIDS and IONCHROM) in a variable set of columns. Each row combines the data from several tests (groups of measurements made on the same sample at the same time) for a particular IW sample. If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate analysis (ALKALINITY, ICP-LIQUIDS, IONCHROM, SALINITY, SPEC, TITRATOR, and potentially others). Major and minor elements were determined by inductively coupled plasma-atomic emission spectrocsopy (ICP-LIQUIDS). Cations and anions were measured by ion chromatography (IONCHROM). Complex ions were measured by colorimetric measurements using a UV-VIS spectrometer (SPEC). Alkalinity and chloride was measured by titration (ALKALINITY and TITRATOR). Dissolved carbon (DC), dissolved inorganic carbon (DIC), and dissolved organic carbon (DOC) were measured by combustion in a total organic carbon (TOC) analyzer. Salinity was measured by refractometer (SALINITY). pH was measured by ion-selective electrode as part of the alkalinity procedure and is reported in the ALKALINITY analysis.
DOI: 10.5281/zenodo.7504789
title: Gent de Mataró (1596-1842)

description: Una base de dades amb 10.577 referèncias tretes de registres d'impostos i altre informació oficial de l'època.
DOI: 10.5281/zenodo.7504788
title: Gent de Mataró (1596-1842)

description: Una base de dades amb 10.577 referèncias tretes de registres d'impostos i altre informació oficial de l'època.
DOI: 10.6073/pasta/092d467c5f114f2c19944aa105e959e8
title: SBC LTER: data summary from UNOLS cruises in the Santa Barbara Channel beetween 2001-2006

description: This data package includes a summary list of data that were collected from the RV Pt. Sur. Cruises which took place from 2001 to 2006 in the Santa Barbara Channel, California, USA. There are total of 16 cruises and 3-4 times per year with approximately 7 days in length. Three data types are included in the summary sheet: 1. CTD and rosette profile bottle data; 2. Towed CTD scanning data; and 3. Meteorological, sea surface, and ADCP data. The data can be viewed and downloaded using the DOIs listed in the summary sheet. The detailed metadata is included in each of the data packages.
DOI: 10.5281/zenodo.7499617
title: Mechanical Parts Dataset 2022

description: <strong>Mechanical Parts Dataset</strong> The dataset consists of a total of 2250 images obtained by downloading from various internet platforms. Among the images in the dataset, there are 714 images with bearings, 632 images with bolts, 616 images with gears and 586 images with nuts. A total of 10597 manual labeling processes were carried out in the dataset, including 2099 labels belonging to the bearing class, 2734 labels belonging to the bolt class, 2662 labels belonging to the gear class and 3102 labels belonging to the nut class. <strong>Folder Content</strong> The created dataset is divided into 3 as 80% train, 10% validation and 10% test. In the "Mechanical Parts Dataset" folder, there are three separate folders as "train", "test" and "val". In each of these three folders there are folders named "images" and "labels". Images are kept in the "images" folder and tag information is kept in the "labels" folder. Finally, inside the folder there is a yaml file named "mech_parts_data" for the Yolo algorithm. This file contains the number of classes and class names. <strong>Images and Labels</strong> The dataset was prepared in accordance with the Yolov5 algorithm.<br> For example, the tag information of the image named "2a0xhkr_jpg.rf.45a11bf63c40ad6e47da384fdf6bb7a1.jpg" is stored in the txt file with the same name. The tag information (coordinates) in the txt file are as follows: "class x_center y_center width height". <strong>Update 05.01.2023</strong> <strong>***</strong>Pascal voc and coco json formats have been added.*** <strong>Related paper: </strong>doi.org/10.5281/zenodo.7496767
DOI: 10.5281/zenodo.7504801
title: Mechanical Parts Dataset 2022

description: <strong>Mechanical Parts Dataset</strong> The dataset consists of a total of 2250 images obtained by downloading from various internet platforms. Among the images in the dataset, there are 714 images with bearings, 632 images with bolts, 616 images with gears and 586 images with nuts. A total of 10597 manual labeling processes were carried out in the dataset, including 2099 labels belonging to the bearing class, 2734 labels belonging to the bolt class, 2662 labels belonging to the gear class and 3102 labels belonging to the nut class. <strong>Folder Content</strong> The created dataset is divided into 3 as 80% train, 10% validation and 10% test. In the "Mechanical Parts Dataset" folder, there are three separate folders as "train", "test" and "val". In each of these three folders there are folders named "images" and "labels". Images are kept in the "images" folder and tag information is kept in the "labels" folder. Finally, inside the folder there is a yaml file named "mech_parts_data" for the Yolo algorithm. This file contains the number of classes and class names. <strong>Images and Labels</strong> The dataset was prepared in accordance with the Yolov5 algorithm.<br> For example, the tag information of the image named "2a0xhkr_jpg.rf.45a11bf63c40ad6e47da384fdf6bb7a1.jpg" is stored in the txt file with the same name. The tag information (coordinates) in the txt file are as follows: "class x_center y_center width height". <strong>Update 05.01.2023</strong> <strong>***</strong>Pascal voc and coco json formats have been added.*** <strong>Related paper: </strong>doi.org/10.5281/zenodo.7496767
DOI: 10.5281/zenodo.7499618
title: Mechanical Parts Dataset 2022

description: <strong>Mechanical Parts Dataset</strong> The dataset consists of a total of 2250 images obtained by downloading from various internet platforms. Among the images in the dataset, there are 714 images with bearings, 632 images with bolts, 616 images with gears and 586 images with nuts. A total of 10597 manual labeling processes were carried out in the dataset, including 2099 labels belonging to the bearing class, 2734 labels belonging to the bolt class, 2662 labels belonging to the gear class and 3102 labels belonging to the nut class. <strong>Folder Content</strong> The created dataset is divided into 3 as 80% train, 10% validation and 10% test. In the "Mechanical Parts Dataset" folder, there are three separate folders as "train", "test" and "val". In each of these three folders there are folders named "images" and "labels". Images are kept in the "images" folder and tag information is kept in the "labels" folder. Finally, inside the folder there is a yaml file named "mech_parts_data" for the Yolo algorithm. This file contains the number of classes and class names. <strong>Images and Labels</strong> The dataset was prepared in accordance with the Yolov5 algorithm.<br> For example, the tag information of the image named "2a0xhkr_jpg.rf.45a11bf63c40ad6e47da384fdf6bb7a1.jpg" is stored in the txt file with the same name. The tag information (coordinates) in the txt file are as follows: "class x_center y_center width height". <strong>Related paper: </strong>doi.org/10.5281/zenodo.7496767