cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/21369972
title: “Visual counting dataset and accociated MATLAB scripts supplementary to the paper "Amsterdam urban water system as entry point of river plastic pollution"

description: This dataset is the supplementary material of Tasseron et al., (2022/2023): 'Amsterdam urban water system as entry point of river plastic pollution' [Submitted to a scientific journal for review]. The dataset contains the master datasheet [.xlsx] used for the analyses in the matlab script [.m], to determine emissions of floating plastic from the amsterdam urban water system to the IJ river.
DOI: 10.4121/22250752.v1
title: Data underlying Policy coherence analysis: the case of TU Delft campus development

description: This dataset includes the annonymised transcript of 11 interviews with sustainability experts at Delft University of Technology, in the Netherlands; as well as an Atlas.ti project corresponding to the analysis of policy documents from the European to local level in relation to circular built environment. The document analysis include 12 documents, from which only 8 are available in the dataset as 4 of them are internal policy documents at the university level. The 4 missing documents can be accessed from the corresponding author upon reasonable request. Finally, the letter of approval from the Human Resources Ethical Committee from Delft University of Technology is also attached. The related paper is under revision.
DOI: 10.4121/22250752
title: Data underlying Policy coherence analysis: the case of TU Delft campus development

description: This dataset includes the annonymised transcript of 11 interviews with sustainability experts at Delft University of Technology, in the Netherlands; as well as an Atlas.ti project corresponding to the analysis of policy documents from the European to local level in relation to circular built environment. The document analysis include 12 documents, from which only 8 are available in the dataset as 4 of them are internal policy documents at the university level. The 4 missing documents can be accessed from the corresponding author upon reasonable request. Finally, the letter of approval from the Human Resources Ethical Committee from Delft University of Technology is also attached. The related paper is under revision.
DOI: 10.4121/21960932
title: 3rd Autonomous Greenhouse Challenge: Time-series data on realized climate with annotated crop lettuce-images

description: The dataset was generated for the needs of the 3rd International Autonomous Greenhouse Challenge in the experimental facilities of the Greenhouse Horticulture Business Unit in Bleiswijk, The Netherlands in 2022. Information regarding the competition can be found here http://www.autonomousgreenhouses.com/ The dataset contains following folders: Images Ground Truth: includes [json] with all GT information Depth Images: folder with 388 depth images of 16 bit in [png] format RGB Images: folder with 388 RGB images of 3x8 bit in [png] format Daily Images: includes images of RealSense and Sigrow in [png] format ReadMe document with more information Time series Meteorological data Greenhouse climate data Greenhouse realized climate controls Greenhouse crop observations 2-4 are given in folders for each of the participating teams. <br>
DOI: 10.5281/zenodo.7747102
title: De novo assembly of a long-read Amblyomma americanum genome

description: Genome assemblies of Amblyomma americanum generated from PacBio HiFi sequencing of 50 individual female ticks. This repository contains the unphased diploid assembly generated by the Flye assembler (Arcadia_Amblyomma_americanum_asm001.fasta). In addition, there are two associated fasta files containing sequences generated by submitting the unphased diploid assembly to separation by the Purge_Dups pipeline (purged pseudo-haploid assembly and haplotig assembly). Flye assembler: https://github.com/fenderglass/Flye Purge_Dups pipeline: https://github.com/dfguan/purge_dups NCBI Bioproject: PRJNA932813
DOI: 10.5281/zenodo.7747101
title: De novo assembly of a long-read Amblyomma americanum genome

description: Genome assemblies of Amblyomma americanum generated from PacBio HiFi sequencing of 50 individual female ticks. This repository contains the unphased diploid assembly generated by the Flye assembler (Arcadia_Amblyomma_americanum_asm001.fasta). In addition, there are two associated fasta files containing sequences generated by submitting the unphased diploid assembly to separation by the Purge_Dups pipeline (purged pseudo-haploid assembly and haplotig assembly). Flye assembler: https://github.com/fenderglass/Flye Purge_Dups pipeline: https://github.com/dfguan/purge_dups NCBI Bioproject: PRJNA932813
DOI: 10.5281/zenodo.7747150
title: Data from: General patterns of beavers' selective foraging: How to evaluate the effects of a re-emerging driver of vegetation change along Central European small watercourses

description: This Excel table contains information about the woody plant supply and its utilization by the Eurasian beaver at 11 study sites along small watercourses located in Hungary. The following data are provided about each woody plant unit (trunk or branch): taxon group, genus, diameter class, and type of utilization. Two taxon groups were differentiated: softwood species (<em>Salix</em> and <em>Populus</em> spp.) and other species. The units were categorized into six diameter classes (d1-d6). Thin branches with a diameter of 0.8–4.9 cm were classified into the first one (d1), and five more diameter classes (d2–d6) were defined using Jenks natural breaks method: d2 – 5–9 cm, d3 – 10–18 cm, d4 – 19–32 cm, d5 – 33–54 cm, d6 – 55–146 cm. Three types of utilization were defined: <em>cutting</em>, <em>carving</em>, and <em>debarking</em>. We refer to trunks and branches not utilized by beavers as intact units. We also distinguished between fresh and old signs of utilization. In addition, a fresh dataset was defined, which consists of intact units, units with fresh signs of utilization, and formerly beaver-harmed but living trees.
DOI: 10.5281/zenodo.7747149
title: Data from: General patterns of beavers' selective foraging: How to evaluate the effects of a re-emerging driver of vegetation change along Central European small watercourses

description: This Excel table contains information about the woody plant supply and its utilization by the Eurasian beaver at 11 study sites along small watercourses located in Hungary. The following data are provided about each woody plant unit (trunk or branch): taxon group, genus, diameter class, and type of utilization. Two taxon groups were differentiated: softwood species (<em>Salix</em> and <em>Populus</em> spp.) and other species. The units were categorized into six diameter classes (d1-d6). Thin branches with a diameter of 0.8–4.9 cm were classified into the first one (d1), and five more diameter classes (d2–d6) were defined using Jenks natural breaks method: d2 – 5–9 cm, d3 – 10–18 cm, d4 – 19–32 cm, d5 – 33–54 cm, d6 – 55–146 cm. Three types of utilization were defined: <em>cutting</em>, <em>carving</em>, and <em>debarking</em>. We refer to trunks and branches not utilized by beavers as intact units. We also distinguished between fresh and old signs of utilization. In addition, a fresh dataset was defined, which consists of intact units, units with fresh signs of utilization, and formerly beaver-harmed but living trees.
DOI: 10.5281/zenodo.5524860
title: A regionally resolved inventory of High Mountain Asia surge-type glaciers, derived from a multi-factor remote sensing approach

description: This file is the .csv database compiling surge-type glaciers automatically identified in Guillet et al (2022). File format is compliant with the Randolph Glacier Inventory (RGI) V6.0. If you have questions about the dataset - please refer to the following reference or contact Dr. Guillet. Guillet, G., King, O., Lv, M., Ghuffar, S., Benn, D., Quincey, D., & Bolch, T. (2022). A regionally resolved inventory of High Mountain Asia surge-type glaciers, derived from a multi-factor remote sensing approach. <em>The Cryosphere</em>, <em>16</em>(2), 603-623.
DOI: 10.5281/zenodo.7742154
title: Participación, consumo y cultura de la remezcla en TikTok: prácticas creativas por adolescentes españoles más allá de los contextos educativos formales

description: Base de datos de las respuestas del cuestionario realizada a la muestra con respecto a la investigación.
DOI: 10.5281/zenodo.7742206
title: Participación, consumo y cultura de la remezcla en TikTok: prácticas creativas por adolescentes españoles más allá de los contextos educativos formales

description: Base de datos de las respuestas del cuestionario realizada a la muestra con respecto a la investigación.
DOI: 10.5281/zenodo.7747191
title: Participación, consumo y cultura de la remezcla en TikTok: prácticas creativas por adolescentes españoles más allá de los contextos educativos formales

description: Base de datos de la investigación cuantitativa y cualitativa realizada a la muestra indicada.
DOI: 10.5281/zenodo.7745622
title: Vibration Sensor and Process Data from Ferrosilicon Production

description: <strong>Elkem Facility</strong> The facility specializes in producing ferrosilicon (FeSi) and ferrosilicon magnesium (FSM) master alloys. Elkem Bjølvefossen is among the world’s largest producers of FSM. Three reduction furnaces deliver the base metal which is then alloyed and refined to the right quality of FeSi or FSM. These alloys are important additives in the manufacturing of steel products. Silicon in the form of FeSi is used to remove oxygen from the steel and as an alloying element to improve the final quality of the steel. Silicon increases strength and wear resistance, elasticity, i.e., spring steels, scale resistance, and heat resistant steels and lowers electrical conductivity and magnetostriction. After tapping and refining, the ferro-alloys are crushed to grains ranging from 1 mm to 25 mm in size. Consumers of FeSi and FSM have strict requirements for particle size, related mainly to the chemical kinetics of their refining and alloying processes. For this reason, the crushed material is separated in sieves and packaged by particle size before shipment. Two lattice gratings inside the Mogensen shaker separate the material according to required particle size. The subject of the present study is a mechanical shaker platform containing one or more such sieves. The shaker is a Mogensen S0556 that was installed in 1996 in Bjølvefossen and is no longer produced in this type. This device is powered by two counter-rotating 1.2-horsepower AC motors operating at 960 RPM. Together with the spring suspension, these cause an elliptical motion that both transports and scatters the incoming material across the sieve. The shaker is engineered so that the motion transitions from a slanted ellipse at the in-feed to nearly linear at the output. <strong>Vibration Data</strong> Vibration data from two sensors. Each sensor measures acceleration in three axes with three different ADCs. <strong>ERP and MES data</strong> Manufacturing Execution System (MES) data as well as process data from the Enterprise Resource Planning (ERP) is given. It is providing information about the material that is currently being produced as well as the data from the scales from the material packing station where the bags with completed production were packed. MES data has a resolution of 5 seconds and the process data from ERP has a resolution of roughly 10 minutes. This operational data is meant to provide insight into the current state and throughput of the facility and will serve as labels for the correlation analysis with the vibration data.
description: This work was partly funded through the projects BigDataMine (NFR 309691), DataCloud (H2020 101016835), enRichMyData (HE 101070284), and Graph-Massivizer (HE 101093202).
DOI: 10.5281/zenodo.7745621
title: Vibration Sensor and Process Data from Ferrosilicon Production

description: <strong>Elkem Facility</strong> The facility specializes in producing ferrosilicon (FeSi) and ferrosilicon magnesium (FSM) master alloys. Elkem Bjølvefossen is among the world’s largest producers of FSM. Three reduction furnaces deliver the base metal which is then alloyed and refined to the right quality of FeSi or FSM. These alloys are important additives in the manufacturing of steel products. Silicon in the form of FeSi is used to remove oxygen from the steel and as an alloying element to improve the final quality of the steel. Silicon increases strength and wear resistance, elasticity, i.e., spring steels, scale resistance, and heat resistant steels and lowers electrical conductivity and magnetostriction. After tapping and refining, the ferro-alloys are crushed to grains ranging from 1 mm to 25 mm in size. Consumers of FeSi and FSM have strict requirements for particle size, related mainly to the chemical kinetics of their refining and alloying processes. For this reason, the crushed material is separated in sieves and packaged by particle size before shipment. Two lattice gratings inside the Mogensen shaker separate the material according to required particle size. The subject of the present study is a mechanical shaker platform containing one or more such sieves. The shaker is a Mogensen S0556 that was installed in 1996 in Bjølvefossen and is no longer produced in this type. This device is powered by two counter-rotating 1.2-horsepower AC motors operating at 960 RPM. Together with the spring suspension, these cause an elliptical motion that both transports and scatters the incoming material across the sieve. The shaker is engineered so that the motion transitions from a slanted ellipse at the in-feed to nearly linear at the output. <strong>Vibration Data</strong> Vibration data from two sensors. Each sensor measures acceleration in three axes with three different ADCs. <strong>ERP and MES data</strong> Manufacturing Execution System (MES) data as well as process data from the Enterprise Resource Planning (ERP) is given. It is providing information about the material that is currently being produced as well as the data from the scales from the material packing station where the bags with completed production were packed. MES data has a resolution of 5 seconds and the process data from ERP has a resolution of roughly 10 minutes. This operational data is meant to provide insight into the current state and throughput of the facility and will serve as labels for the correlation analysis with the vibration data.
description: This work was partly funded through the projects BigDataMine (NFR 309691), DataCloud (H2020 101016835), enRichMyData (HE 101070284), and Graph-Massivizer (HE 101093202).
DOI: 10.6084/m9.figshare.3761562.v2528
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: 10.48320/74a865dc-8ed6-448a-8535-5e56a359a2ce
title: Monitoring of Labour Protests in Russia (MLP-Russia)
DOI: 10.48320/bfc6bc3a-9be4-4f1f-bb2c-bd703c16dcc0
title: Monitoring of Labour Protests in Kazakhstan (MLP-Kazakhstan)
DOI: 10.15482/usda.adc/1528683
title: Data from: Characterization of Levilactobacillus brevis genotypes and phenotypes from industrial cucumber fermentation identifies the presence of 1,2-propanediol metabolosomes in the species

description: Data collected from Phenotypic Microarray (PM) plates PM01 and PM02, using an Omnilog system for the characterization of four species of Levilactobacillus brevis autochthonous to commercial cucumber fermentations and two ATCC reference strains, ATCC14869 and ATCC367. Each PM plate was duplicated for each isolate and the cells were prepared as suggested by the manufacturer. Omnilog data is the result of a screening and phenotypes should be confirmed using conditions that mimic the habitat of interest. This dataset was generated for scientific research purpose only. The Levilactobacillus brevis isolates included in this dataset have publicly available genome sequences described in the Microbiology Resource Announcement peer reviewed journal.
Resources in this dataset:

Resource Title: Data for PM01 and PM02 for Levilactobacillus brevis autochthonous to cucumber fermentation and two reference strains
File Name: Ag Data Commons Levilactobacillus brevis PM01 & PM02.xlsx
Description: This is an Microsoft Excel file with two tabs, one for the PM01 plates and the second for the PM02 plates. Date corresponds to four Levilactobacillus brevis isolates that originated from commercial cucumber fermentations and two ATCC reference strains. All plates were ran in duplicates.
DOI: 10.6084/m9.figshare.22297120
title: Supplementary data

description: Supplementary data for the manuscript " <strong>COMPLEX INTERACTIONS AMONG TEMPERATURE, MICROPLASTICS AND CYANOBACTERIA MAY FACILITATE CYANOBACTERIA PROLIFERATION AND MICROPLASTIC DEPOSITION"</strong>
DOI: 10.6084/m9.figshare.22297120.v1
title: Supplementary data

description: Supplementary data for the manuscript " <strong>COMPLEX INTERACTIONS AMONG TEMPERATURE, MICROPLASTICS AND CYANOBACTERIA MAY FACILITATE CYANOBACTERIA PROLIFERATION AND MICROPLASTIC DEPOSITION"</strong>
DOI: 10.5517/ccdc.csd.cc2d23j4
title: CCDC 2206565: Experimental Crystal Structure Determination

description: Related Article: Md Faizul Islam, Emely Adame-Ramirez, Eric R. Williams, Preecha Kittikhunnatham, Andrew Wijesekara, Siteng Zheng, Ting Ge, Morgan Stefik, Mark D. Smith, Perry J. Pellechia, Andrew B. Greytak, Linda S. Shimizu|2022|Macromolecules|55|11013|doi:10.1021/acs.macromol.2c02042
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: 10.15482/usda.adc/1528684
title: Weighing Lysimeter Data for The Bushland, Texas, Soybean Datasets

description: This dataset consists of five years of weighing lysimeter data for soybean [Glycine max (L.) Merr.] grown at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU), Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL) in 1995, 2003, 2004, 2010 and 2019. In 1995, 2003, 2004, and 2010, soybean was grown on two large, precision weighing lysimeters, each in the center of a 4.44 ha square field. In 2019, soybean was grown on four large, precision weighing lysimeters, each in the center of a 4.4-ha square field. The weighing lysimeters were used to measure mass, which was converted to relative soil water storage with 0.05 mm accuracy at 5-minute intervals, and the 5-minute change in soil water storage was used along with precipitation and irrigation amounts to calculate crop evapotranspiration (ET), which is reported at 15-minute intervals. Although a quality control process was used, the ET data in this dataset are considered raw data. Advanced algorithms for detection of precipitation, dew and frost were applied in a separate process to determine ET values that are reported in files in a dataset entitled "Evapotranspiration and Water Balance Data for The Bushland, Texas Soybean Datasets". Those files have "water-balance" in their names. Each lysimeter was equipped with a suite of instruments to sense wind speed, air temperature and relative humidity, components of the radiation balance (e.g., net radiation, incoming and reflected shortwave, photosynthetically active radiation (PAR), incoming and reflected longwave, thermal infrared emitted by the plant/soil surface), soil heat flux, soil temperature, and soil volumetric water content at certain depths. Not all properties were always sensed in any one year; and instruments used changed from season to season, which are reasons that subsidiary datasets and data dictionaries for each season are required.
These datasets originate from research aimed at determining crop water use (ET), crop coefficients for use in ET-based irrigation scheduling based on a reference ET, crop growth, yield, harvest index, and crop water productivity as affected by irrigation method, timing, amount (full or some degree of deficit), agronomic practices, cultivar, and weather. Prior publications have focused on soybean ET, crop coefficients, crop water productivity, and simulation modeling of crop growth, water use, and yield. Crop coefficients have been used by ET networks. The data have utility for testing simulation models of crop ET, growth, and yield and have been used by both USDA and university researchers.
See the README for descriptions of each data file.
DOI: 10.6084/m9.figshare.22281013.v1
title: Instances of the "Orthogonal delineation of site-specific management zones using estimation of distribution algorithms and disjoint-sets" article

description: This folder contains the instances, detailed results, and solution visualizations found in the paper "Orthogonal delineation of site-specific management zones using estimation of distribution algorithms and disjoint-sets" by Salvador J. Vicencio-Medina, Yasmin A. Rios-Solis, and Nestor M. Cid-Garcia. <br> The site-specific management zone problem consists of dividing an agricultural field into zones where each zone is homogeneous according to a soil property that can be physical or chemical. In recent years, the use of orthogonal zones in an agricultural field has become an interesting study for their easy delineation with standard agricultural machinery. The main contribution of this work is a new methodology based on the Estimation of Distribution Algorithm and Disjoint-Sets that can divide an agricultural field into orthogonal zones. This new methodology improves the solutions presented in the literature where orthogonal zones are used until 71.3% while the computational times also are improved between 3200 - 10000 seconds. Besides, we propose a new set of instances to prove the scalability and robustness of the methodology presented. Finally, we use a simple constant penalization and propose a new reactive penalization with which parameter generalization is possible, while this characteristic is not possible in other similar approaches. Experimental results show that the constant and reactive penalizations have some advantages, one above the other that depends on the homogeneity level required and the size of the instance.