cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16499427
title: Macroinvertebrate abundance in the water column of constructed wetlands near Lake Whangape

description: Macroinvertebrate abundance in the water column of constructed wetlands near Lake Whangape<br><br><b>Quality control:</b> Habitat type; Identification QA; Identified by; Net mesh size; Sampling method; Sampling protocol; Sorting QA; Sorting protocol<br><br><b>Type of waterbody:</b> Wetland<br><br><b>Variables:</b> Macroinvertebrates Species Counts; Sampling effort<br><br><b>Start date:</b> 2013-06-25<br><br><b>End date:</b> 2013-12-07<br><br><b>Region:</b> Waikato<br><br><b>Wetland:</b> Constructed wetlands near Lake Whangape<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.17632/r3z6vp396m.2
title: Chinese medicinal blossom-dataset

description: The blossom images of traditional Chinese medicinal herbs were captured by Google search. The images were divided into twelve categories: (1) Syringa, (2) Bombax malabarica, (3) Michelia alba, (4) Armeniaca mume, (5) Albizia julibrissin, (6) Pinus massoniana, (7) Eriobotrya japonica, (8) Styphnolobium japonicum, (9) Prunus persica, (10) Firmiana simplex, (11) Ficus religiosa and (12) Areca catechu. The number of original images is 1716, and the total number of images acquired after data augmentation was 12538. The dataset provide a collection of blossom images on traditional Chinese herbs help Chinese pharmacist to classify the categories of Chinese herbs. In addition, the dataset can serve as a resource for researchers who use different algorithms of machine learning or deep learning for image segmentation and image classification.
DOI: 10.17632/x2bmx6whcd.1
title: MD simulation of hundred-billion-metal-atom cascade collision on Sunway Taihulight

description: Radiation damage to the steel material of reactor pressure vessels is a major threat to the nuclear reactor safety. It is caused by the metal atom cascade collision, initialized when the atoms are struck by a high-energy neutron. The paper presents MISA-MD, a new implementation of molecular dynamics, to simulate such cascade collision with EAM potential. MISA-MD realizes (1) a hash-based data structure to efficiently store an atom and find its neighbors, and (2) several acceleration and optimization strategies based on SW26010 processor of Sunway Taihulight supercomputer, including an efficient potential table storage and interpolation method, a coloring method to avoid write conflicts, and double-buffer and data reuse strategies. The experimental results demonstrated that MISA-MD has good accuracy and scalability, and obtains a parallel efficiency of over 79% in an 655-billion-atom system. Compared with a state-of-the-art MD program LAMMPS, MISA-MD requires less memory usage and achieves better computational performance.
DOI: 10.17632/dg4sd97pbt.1
title: Figure 5D

description: Western blot analyses of p-bcats protein level in organoid culture with or without adding inhibitors.
DOI: 10.17632/w8htd7vmwh.2
title: Machine learning enhanced empirical potentials for metals and alloys

description: Interatomic potential (i.e. force-field) plays a vital role in atomistic simulation of materials. Empirical potentials like the embedded atom method (EAM) and its variant angular-dependent potential (ADP) have proven successful in many metals. In the past few years, machine learning has become a compelling approach for modeling interatomic interactions. Powered by big data and efficient optimizers, machine learning interatomic potentials can generally approximate to the accuracy of the first-principles calculations based on the quantum mechanics theory. In this works, we successfully developed a route to express EAM and ADP within machine learning framework in highly-vectorizable form and further incorporated several physical constraints into the training. As it is proved in this work, the performances of empirical potentials can be significantly boosted with few training data. For energy and force predictions, machine tuned EAM and ADP, can be almost as accurate as the computationally expensive spectral neighbor analysis potential (SNAP) on the fcc Ni, bcc Mo and Mo-Ni alloy systems. Machine learned EAM and ADP can also reproduce some key materials properties, such as elastic constants, melting temperatures and surface energies, close to the first-principles accuracy. Our results suggest a new and systematic route for developing machine learning interatomic potentials. All the new algorithms have been implemented in our program TensorAlloy.
DOI: 10.17632/6nvr6k3w66.1
title: Data to modeling the effects of future climate change on streamflow in Salgado River basin in the Brazilian Caatinga biome

description: These are the data used to evaluate LULC changes and the future water yield (WY) in the Salgado River basin (SRB) for the period from 2030−2060. Many procedures were used: (a) calibration and validation of the SWAT model is used on a monthly basis for 1986−2017, with a calibration period from 1986 to 2005 and validation period from 2006−2017, (b) LULCC analysis is performed for 1985−2000, (c) future LULC is predicted using the land change model for 2050, (d) multiple scenarios involving five global circulation models (GCMs) are simulated, and representative concentration pathways (RCPs) are considered, (e) bias correction and downscaling for precipitation, maximum temperature, minimum temperature, are performed, (f) average monthly streamflow is estimated from 2030−2060 using GCMs, (g) future hydrological modeling of the geographical distribution of the water yield is performed for each subbasin of the SRB, and (h) RCPs are compared with the baseline period from 1970−2005.
DOI: 10.6084/m9.figshare.16499430
title: Macroinvertebrate abundance in the water column of constructed wetlands near Huntly

description: Macroinvertebrate abundance in the water column of constructed wetlands near Huntly<br><br><b>Quality control:</b> Habitat type; Identification QA; Identified by; Net mesh size; Sampling method; Sampling protocol; Sorting QA; Sorting protocol<br><br><b>Type of waterbody:</b> Wetland<br><br><b>Variables:</b> Macroinvertebrates Species Counts; Sampling effort<br><br><b>Start date:</b> 2013-07-30<br><br><b>End date:</b> 2013-08-06<br><br><b>Region:</b> Waikato<br><br><b>Wetland:</b> Constructed wetlands near Huntly<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.17632/vctdkzpskj.2
title: B2020-XDA-05 Determining 7 parameters of Helmert transformation

description: 
Include:
I. Helmert transfortmation for GNSS network program (main script: pyacs_make_time_series.py) in Python3
II. Data for Helmert transformation program (pyacs_make_time_series.py):
     1. free solution in WGS84: h9801031200_alp1.snx.ss
     2. list sinex file: lsinex_1file.snx
     3. reference solution in ITRF: IGS12P33.snx
     4. discotinuity file: soln_2012.snx
III. Helmert program Manuals
IV. Result of test
DOI: 10.6084/m9.figshare.16499433
title: Macroinvertebrate abundance in the water column of a constructed wetland near Rangiriri

description: Macroinvertebrate abundance in the water column of a constructed wetland near Rangiriri<br><br><b>Quality control:</b> Habitat type; Identification QA; Identified by; Net mesh size; Sampling method; Sampling protocol; Sorting QA; Sorting protocol<br><br><b>Type of waterbody:</b> Wetland<br><br><b>Variables:</b> Macroinvertebrates Species Counts; Sampling effort<br><br><b>Start date:</b> 2013-07-23<br><br><b>End date:</b> 2013-07-23<br><br><b>Region:</b> Waikato<br><br><b>Wetland:</b> Constructed wetland near Rangiriri<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.16499439
title: Macroinvertebrate abundance in the water column of constructed ponds in the Whangamarino wetland

description: Macroinvertebrate abundance in the water column of constructed ponds in the Whangamarino wetland<br><br><b>Quality control:</b> Habitat type; Identification QA; Identified by; Net mesh size; Sampling method; Sampling protocol; Sorting QA; Sorting protocol<br><br><b>Type of waterbody:</b> Wetland<br><br><b>Variables:</b> Macroinvertebrates Species Counts; Sampling effort<br><br><b>Start date:</b> 2013-07-23<br><br><b>End date:</b> 2013-07-23<br><br><b>Region:</b> Waikato<br><br><b>Wetland:</b> Constructed wetland near Rangiriri<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.16499442
title: Macroinvertebrate abundance in the water column of constructed wetlands near Lake Waikare

description: Macroinvertebrate abundance in the water column of constructed wetlands near Lake Waikare<br><br><b>Quality control:</b> Habitat type; Identification QA; Identified by; Net mesh size; Sampling method; Sampling protocol; Sorting QA; Sorting protocol<br><br><b>Type of waterbody:</b> Wetland<br><br><b>Variables:</b> Macroinvertebrates Species Counts; Sampling effort<br><br><b>Start date:</b> 2013-07-10<br><br><b>End date:</b> 2013-08-30<br><br><b>Region:</b> Waikato<br><br><b>Wetland:</b> Constructed wetlands near Lake Waikare<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.16499445
title: Benthic macroinvertebrate abundance in constructed wetlands near Lake Waikare

description: Benthic macroinvertebrate abundance in constructed wetlands near Lake Waikare<br><br><b>Quality control:</b> Habitat type; Identification QA; Identified by; Net mesh size; Sampling method; Sampling protocol; Sorting QA; Sorting protocol<br><br><b>Type of waterbody:</b> Wetland<br><br><b>Variables:</b> Macroinvertebrates Species Counts; Volume sampled<br><br><b>Start date:</b> 2013-07-10<br><br><b>End date:</b> 2013-08-30<br><br><b>Region:</b> Waikato<br><br><b>Wetland:</b> Constructed wetlands near Lake Waikare<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.16499451
title: Benthic macroinvertebrate abundance in constructed wetlands near Huntly

description: Benthic macroinvertebrate abundance in constructed wetlands near Huntly<br><br><b>Quality control:</b> Habitat type; Identification QA; Identified by; Net mesh size; Sampling method; Sampling protocol; Sorting QA; Sorting protocol<br><br><b>Type of waterbody:</b> Wetland<br><br><b>Variables:</b> Macroinvertebrates Species Counts; Volume sampled<br><br><b>Start date:</b> 2013-07-30<br><br><b>End date:</b> 2013-08-06<br><br><b>Region:</b> Waikato<br><br><b>Wetland:</b> Constructed wetlands near Huntly<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.16499454
title: Benthic macroinvertebrate abundance in constructed wetlands near Lake Whangape

description: Benthic macroinvertebrate abundance in constructed wetlands near Lake Whangape<br><br><b>Quality control:</b> Habitat type; Identification QA; Identified by; Net mesh size; Sampling method; Sampling protocol; Sorting QA; Sorting protocol<br><br><b>Type of waterbody:</b> Wetland<br><br><b>Variables:</b> Macroinvertebrates Species Counts; Volume sampled<br><br><b>Start date:</b> 2013-06-25<br><br><b>End date:</b> 2013-08-29<br><br><b>Region:</b> Waikato<br><br><b>Wetland:</b> Constructed wetlands near Lake Whangape<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.17632/t8rtzcgwxm.2
title: Automatic Pain Assessment in Horses

description: Dataset used to develop a machine learning algorithm for automatic pain assessment on horses. These images were acquired by extracting frames from videos of several days from horses that underwent castration. These frames were selected and evaluated through the process of labeling in order to be used on the training of a Convolutional Neural Network (CNN).
DOI: 10.6084/m9.figshare.16499457
title: Benthic macroinvertebrate abundance in a constructed wetland near Rangiriri

description: Benthic macroinvertebrate abundance in a constructed wetland near Rangiriri<br><br><b>Quality control:</b> Habitat type; Identification QA; Identified by; Net mesh size; Sampling method; Sampling protocol; Sorting QA; Sorting protocol<br><br><b>Type of waterbody:</b> Wetland<br><br><b>Variables:</b> Macroinvertebrates Species Counts; Volume sampled<br><br><b>Start date:</b> 2013-07-23<br><br><b>End date:</b> 2013-07-23<br><br><b>Region:</b> Waikato<br><br><b>Wetland:</b> Constructed wetland near Rangiriri<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.16499466
title: Benthic macroinvertebrate abundance in constructed ponds in the Whangamarino wetland

description: Benthic macroinvertebrate abundance in constructed ponds in the Whangamarino wetland<br><br><b>Quality control:</b> Habitat type; Identification QA; Identified by; Net mesh size; Sampling method; Sampling protocol; Sorting QA; Sorting protocol<br><br><b>Type of waterbody:</b> Wetland<br><br><b>Variables:</b> Macroinvertebrates Species Counts; Volume sampled<br><br><b>Start date:</b> 2013-07-16<br><br><b>End date:</b> 2013-09-03<br><br><b>Region:</b> Waikato<br><br><b>Wetland:</b> Conatructed ponds in the Whangamarino wetland<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.16499472
title: Macroinvertebrate biomass in the water column of constructed wetlands near Lake Waikare

description: Macroinvertebrate biomass in the water column of constructed wetlands near Lake Waikare<br><br><b>Quality control:</b> Habitat type; Identification QA; Identified by; Net mesh size; Sampling method; Sampling protocol; Sorting QA; Sorting protocol<br><br><b>Type of waterbody:</b> Wetland<br><br><b>Variables:</b> Macroinvertebrates Biomass; Sampling effort<br><br><b>Start date:</b> 2013-07-10<br><br><b>End date:</b> 2013-08-30<br><br><b>Region:</b> Waikato<br><br><b>Wetland:</b> Constructed wetlands near Lake Waikare<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.16499478
title: Macroinvertebrate biomass in the water column of constructed wetlands near Huntly

description: Macroinvertebrate biomass in the water column of constructed wetlands near Huntly<br><br><b>Quality control:</b> Habitat type; Identification QA; Identified by; Net mesh size; Sampling method; Sampling protocol; Sorting QA; Sorting protocol<br><br><b>Type of waterbody:</b> Wetland<br><br><b>Variables:</b> Macroinvertebrates Biomass; Sampling effort<br><br><b>Start date:</b> 2013-07-30<br><br><b>End date:</b> 2013-08-06<br><br><b>Region:</b> Waikato<br><br><b>Wetland:</b> Constructed wetlands near Huntly<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.