cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34933/wis.000393
title: Data from: The Large-scale Meteorology that Drives Continental, Shallow, Green Cumulus (GreenCu) through Supervised Classification
DOI: 10.60521/331612
title: Processed multibeam bathymetry and acoustic backscatter data from the southern Mid-Atlantic Ridge, 50.2°S-51.5°S (RR2301, 2023)

description: A bathymetric survey was completed using a Kongsberg EM124 echosounder along the Mid-Atlantic Ridge and its flanks between 50.2 and 51.5°S during the February 2023 R/V Roger Revelle cruise RR2301 (Chief Scientist: Tamara Russell). Survey lines were acquired at a typical vessel speed of ~9 kt (~4.6 m/s), with tracks spaced ~12 km to provide almost 100% bathymetric coverage. Adverse sea conditions during data acquisition caused a considerable number of ping artifacts due to vessel motion, which were removed manually on shore using QPS Qimera software. The final bathymetric and acoustic backscatter amplitude grids were constructed using MB-System software at 100 m x 100 m node spacing. The grids are in GMT-compatible netCDF format and are named as "ZTopo" for the bathymetry grid and "ZAmpC" for the acoustic backscatter grid. The survey was supported by the University of California Ship Funds program.
DOI: 10.15468/dl.gf63jb
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "GadmGid is CHN.19_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Morus alba L."
 ]
}

 The dataset includes 25 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017781-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4eqgdv
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.19_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Calystegia hederacea Wall."
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017782-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwphfd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.19_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cymbaria daurica L."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017783-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z5fakj
title: Occurrence Download

description: A dataset containing 815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Carassius auratus (Linnaeus, 1758)"
 ]
}

 The dataset includes 815 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017784-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edgccd
title: Occurrence Download

description: A dataset containing 2403 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((38.46791 -38.52534,155.92129 -38.52534,155.92129 43.83526,38.46791 43.83526,38.46791 -38.52534))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Artocarpus J.R.Forst. & G.Forst."
 ]
}

 The dataset includes 2403 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017785-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wgz64d
title: Occurrence Download

description: A dataset containing 440 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Cephalocroton Hochst."
 ]
}

 The dataset includes 440 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017787-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cv6wsxy938.1
title: ScaleLat: A chemical structure matching algorithm for mapping atomic structure of multi-phase system and high entropy alloys

description: ScaleLat (Scale Lattice) is a computer program written in C for performing the atomic structure analysis of multi-phase system or high entropy alloys (HEAs). The program implements an atomic cluster cell extraction algorithm to obtain all symmetry independent characteristic atomic cluster cells for the complex atomic configurations which are usually obtained from molecular dynamics or kinetic Monte-Carlo simulations at nanoscale or mesoscopic scale. ScaleLat implements an efficient and unique chemical structure matching algorithm to match all extracted atomic clusters from a large supercell (&gt;10^4 atoms) to a representative small one (∼ 10^3 or less), providing the possibility to directly use the highly accurate quantum mechanical methods to study the electronic, magnetic, and mechanical properties of multi-component alloys for complex microstructures. We demonstrate the capability of ScaleLat code by conducting both the atomic structure matching analysis for Fe-12.8 at.% Cr binary alloy and equiatomic CrFeCoNiCu high entropy alloy, successfully obtaining the representative supercells containing 10^2∼10^3 atoms for two systems. The reliability of the proposed chemical structure matching scheme is tested and confirmed by calculating the electronic structures of both examples using trial supercells with various sizes. Overall, ScaleLat program provides a universal platform to efficiently map all essential chemical structures of large complex atomic structures to a relatively easy-handling small supercell for quantum mechanical calculations of various user interested properties.
DOI: 10.17632/gtf3bt4v47.1
title: MAM-STM: A software for autonomous control of single moieties towards specific surface positions

description: In this publication we introduce MAM-STM, a software to autonomously manipulate arbitrary moieties towards specific positions on a metal surface utilizing the tip of a scanning tunneling microscope (STM). Finding the optimal manipulation parameters for a specific moiety is challenging and time consuming, even for human experts. MAM-STM combines autonomous data acquisition with a sophisticated Q-learning implementation to determine the optimal bias voltage, the z-approach distance, and the tip position relative to the moiety. This then allows to arrange single molecules and atoms at will. In this work, we provide a tutorial based on a simulated response to offer a comprehensive explanation on how to use and customize MAM-STM. Additionally, we assess the performance of the machine learning algorithm by benchmarking it within a simulated stochastic environment.
DOI: 10.17632/mgc3wmjsnz.1
title: Multilevel Attention Mechanism for Motion Fatigue Recognition Based on sEMG and ACC Signal Fusion

description: This study recruited 80 healthy university students (45 males and 35 females) from East China University of Technology as participants, all of whom were right-handed. The recruitment criteria for participants included: normal or corrected-to-normal vision in both eyes, no history of drug abuse or psychiatric disorders, and no consumption of pain medications or psychiatric drugs in the past three months. Additionally, participants were required to have BMI values within the range. All participants were in good physical health with no history of cardiovascular diseases or severe muscle injuries. Furthermore, participants were instructed to refrain from consuming caffeine, nicotine, or alcohol, and to avoid engaging in vigorous exercise within 24 hours prior to the experiment.
To ensure precise regulation of exercise power, this study utilized the Lode Corival CPET (Lode B. V., Groningen, The Netherlands) cycle ergometer for exercise testing. sEMG were made of Ag-AgCl material and arranged in a bipolar configuration with a center-to-center distance of 20 millimeters and a diameter of 1 centimeter. The Noraxon Ultium® EMG sensor recorded sEMG signals at a sampling frequency of 2000 Hz, and data collection was conducted wirelessly using the Noraxon MR3 software. ACC signals were collected using a 9-axis IMU sensor (model WT901WIFIC) at a sampling rate of 20 Hz. Additionally, the Ultima GX system was used to measure participants' ventilation (VE), oxygen consumption ( ), and carbon dioxide production ( ) during the exercise tests. Prior to conducting the experiments, calibration of all sensors and experimental equipment was performed to ensure the accuracy of the data.
DOI: 10.17632/mgc3wmjsnz.2
title: Multilevel Attention Mechanism for Motion Fatigue Recognition Based on sEMG and ACC Signal Fusion

description: This study recruited 80 healthy university students (45 males and 35 females) from the university as participants, all of whom were right-handed. The recruitment criteria for participants included: normal or corrected-to-normal vision in both eyes, no history of drug abuse or psychiatric disorders, and no consumption of pain medications or psychiatric drugs in the past three months. Additionally, participants were required to have BMI values within the range. All participants were in good physical health with no history of cardiovascular diseases or severe muscle injuries. Furthermore, participants were instructed to refrain from consuming caffeine, nicotine, or alcohol, and to avoid engaging in vigorous exercise within 24 hours prior to the experiment.
To ensure precise regulation of exercise power, this study utilized the Lode Corival CPET (Lode B. V., Groningen, The Netherlands) cycle ergometer for exercise testing. sEMG were made of Ag-AgCl material and arranged in a bipolar configuration with a center-to-center distance of 20 millimeters and a diameter of 1 centimeter. The Noraxon Ultium® EMG sensor recorded sEMG signals at a sampling frequency of 2000 Hz, and data collection was conducted wirelessly using the Noraxon MR3 software. ACC signals were collected using a 9-axis IMU sensor (model WT901WIFIC) at a sampling rate of 20 Hz. Additionally, the Ultima GX system was used to measure participants' ventilation (VE), oxygen consumption ( ), and carbon dioxide production ( ) during the exercise tests. Prior to conducting the experiments, calibration of all sensors and experimental equipment was performed to ensure the accuracy of the data.
DOI: 10.17632/z676zksb96.1
title: Underinvestment and Capital Misallocation Under Sovereign Risk

description: Replication materials for "Underinvestment and Capital Misallocation Under Sovereign Risk" by Carlos Esquivel.
DOI: 10.34740/kaggle/dsv/8912720
title: AutoXGB
DOI: 10.34740/kaggle/dsv/8912721
title: OnlineFree
DOI: 10.34740/kaggle/dsv/8912728
title: ⏳ endoflife.date database (duckdb)
DOI: 10.15468/dl.gq6rk6
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "TaxonKey is Camellia uraku Kitam."
 ]
}

 The dataset includes 26 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017789-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zza7jy
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "GadmGid is CHN.19_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Caragana rosea Turcz. ex Maxim."
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017790-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48420/24518191.v2
title: Turbulent Large Eddy Simulation Flow Fields

description: Files containing the time varying velocity across the width of a channel, created from two Large Eddy Simulations. Upstream files correspond to a plane extracted 20 m before a tidal device, downstream corresponds to a plane 200 m downstream of a tidal device. Exact locations of each grid point across the plane are found in ZY_Coordinates. These data files define two of the onset flow fields used in work conducted as part of the Interreg TIGER project, and reported in the journal paper titled 'Efficient prediction of tidal turbine fatigue loading using turbulent onset flow from Large Eddy Simulations'. https://doi.org/10.1007/s40722-024-00328-y [doi.org]
DOI: 10.48420/24518191
title: Turbulent Large Eddy Simulation Flow Fields

description: Files containing the time varying velocity across the width of a channel, created from two Large Eddy Simulations. Upstream files correspond to a plane extracted 20 m before a tidal device, downstream corresponds to a plane 200 m downstream of a tidal device. Exact locations of each grid point across the plane are found in ZY_Coordinates. These data files define two of the onset flow fields used in work conducted as part of the Interreg TIGER project, and reported in the journal paper titled 'Efficient prediction of tidal turbine fatigue loading using turbulent onset flow from Large Eddy Simulations'. https://doi.org/10.1007/s40722-024-00328-y [doi.org]
DOI: 10.48420/24518191.v1
title: Turbulent LES Flow Fields

description: Files containing the time varying velocity across the width of a channel, created from two Large Eddy Simulations. Upstream files correspond to a plane extracted 20 m before a tidal device, downstream corresponds to a plane 200 m downstream of a tidal device. Exact locations of each grid point across the plane are found in ZY_Coordinates. These data files define two of the onset flow fields used in work conducted as part of the Interreg TIGER project, and reported in the journal paper titled 'Efficient prediction of tidal turbine fatigue loading using turbulent onset flow from Large Eddy Simulations'.
DOI: 10.15468/dl.7vvbrb
title: Occurrence Download

description: A dataset containing 6407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Andorra, Albania, Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Algeria, Estonia, Egypt, Greece, Spain, Finland, Faroe Islands, France, Georgia, Guernsey, Gibraltar, Croatia, Hungary, Ireland, Israel, Isle of Man, Iceland, Italy, Jersey, Lebanon, Liechtenstein, Lithuania, Luxembourg, Latvia, Libya, Morocco, Monaco, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Palestine, State of, Portugal, Romania, Serbia, Russian Federation, Sweden, Slovenia, Svalbard and Jan Mayen, Slovakia, San Marino, Syrian Arab Republic, Tunisia, Türkiye, Ukraine, United Kingdom of Great Britain and Northern Ireland, French Guiana, Guadeloupe, Martinique, Mayotte, Réunion, Saint Martin (French part), Holy See)",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Occurrence evidence, Observation)",
 "ScientificName is one of (Asclepias syriaca, Asclepias syriaca L.)"
 ]
}

 The dataset includes 6407 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017791-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18712/nsd-nsd1121-v2
title: Organizational Features and Their Importance in Elderly Care and Preventive Work in the Municipalities, 1995

description: The aim of the project was to increase knowledge about the importance of organizational features for how nurses perform their duties within the municipality's health service. This is a comparative survey of three nursing services; Health care services, home care services and nursing services at nursing homes. There are two main issues that are highlighted: - What is the meaning of structural characteristics for the nursing service in the municipalities? Can it point to organizational structures that inhibit or promote goal achievement in the services? - What adjustments regarding Working methods and cooperation do the nurses perform within the formal structures? The results show that the three organizational services appear paradoxically different and with different features in a number of areas such as; Influence on case processing; Autonomy in professional doctrine; interaction scope; Reliance on partners and adjustments to the exit structures. This is impossible to understand without looking at the distinctive organizational contexts, tasks, history and background of the three services. This has been done by combining organizational and occupational sociological perspectives and by integrating an extensive and intensive study plan with quantitative data on the three nursing services.
DOI: 10.18712/nsd-nsd1475-v2
title: Linkages between Rural Institutions and Redistributional Networks: Ag. Marketing Coops, Corruption, and Patrimonialism in East Africa, 2010

description: The research subjects of this study were poor African farmers and the marketing institutions that are available to them. These institutions may be any of a range of marketing institutions, from single individuals who serve as intermediaries between farmers and markets, who buy agricultural output at the farm gates and sell in town, to organizations such as marketing cooperatives or commercial retailers. The basic data this study required needed to describe these two groups. Then, the study needed to identify the linkages, both formal and informal, that existed between them. A random sampling procedure was only needed to identify the first group. The second group, the marketing institutions, was given by the first. All data was collected by using surveys.

The relevant basic variables were quite standard for socioeconomic studies. To capture social mobility, in particular transitions into or out of poverty, it wass desirable to use panel data. To economize on data collection and generate synergies with existing studies, the study was linked to other socioeconomic studies under way in East Africa, conducted by ICRISAT in Nairobi, Kenya. These studies were conducted in Ethiopia, Kenya, and Malawi. The study sites differed with regards to key variables, in particular socioeconomic variables, such as market access, opportunities for agricultural commercialization, access to off-farm income, average poverty levels, and access to external social safety-nets programs (like Food-For-Work), while they were similar with regards to predominant livelihoods, i.e., having a sedentary population engaged in pure cropping, or mixed crop-livestock systems. This study complemented the other studies by collecting data on vertical social networks and elite capture of agricultural marketing cooperatives.
DOI: 10.15468/dl.rkuwfa
title: Occurrence Download

description: A dataset containing 6407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Andorra, Albania, Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Algeria, Estonia, Egypt, Greece, Spain, Finland, Faroe Islands, France, Georgia, Guernsey, Gibraltar, Croatia, Hungary, Ireland, Israel, Isle of Man, Iceland, Italy, Jersey, Lebanon, Liechtenstein, Lithuania, Luxembourg, Latvia, Libya, Morocco, Monaco, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Palestine, State of, Portugal, Romania, Serbia, Russian Federation, Sweden, Slovenia, Svalbard and Jan Mayen, Slovakia, San Marino, Syrian Arab Republic, Tunisia, Türkiye, Ukraine, United Kingdom of Great Britain and Northern Ireland, French Guiana, Guadeloupe, Martinique, Mayotte, Réunion, Saint Martin (French part), Holy See)",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Occurrence evidence, Observation)",
 "ScientificName is one of (Asclepias syriaca, Asclepias syriaca L.)"
 ]
}

 The dataset includes 6407 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017794-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sa85rk
title: Occurrence Download

description: A dataset containing 4930 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Viet Nam, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ligustrum sinense Lour."
 ]
}

 The dataset includes 4930 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017795-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h8tfd6
title: Occurrence Download

description: A dataset containing 6407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Andorra, Albania, Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Algeria, Estonia, Egypt, Greece, Spain, Finland, Faroe Islands, France, Georgia, Guernsey, Gibraltar, Croatia, Hungary, Ireland, Israel, Isle of Man, Iceland, Italy, Jersey, Lebanon, Liechtenstein, Lithuania, Luxembourg, Latvia, Libya, Morocco, Monaco, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Palestine, State of, Portugal, Romania, Serbia, Russian Federation, Sweden, Slovenia, Svalbard and Jan Mayen, Slovakia, San Marino, Syrian Arab Republic, Tunisia, Türkiye, Ukraine, United Kingdom of Great Britain and Northern Ireland, French Guiana, Guadeloupe, Martinique, Mayotte, Réunion, Saint Martin (French part), Holy See)",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Occurrence evidence, Observation)",
 "ScientificName is one of (Asclepias syriaca, Asclepias syriaca L.)"
 ]
}

 The dataset includes 6407 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017793-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c6dmh8w2v8.1
title: Tilling Intensity Machine Learning Model and Images

description: Images of various intensities and tilling types, used to train a machine learning model which is able to detect the intensity of tillage on soil given an image. The machine learning model file is also included. Unseen data, which don't fit into any of the initially defined 7 intensity levels (eg. level 4.5), are also included, and were used to test the machine learning model. All of these images were collected through simulating different tilling intensities in a soil bed, and capturing images of the soil after the simulated tilling. All images were collected on loamy soil.