cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vh5av7
title: Occurrence Download

description: A dataset containing 73779 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "SpeciesKey is one of (Erica cinerea, Erigeron karvinskianus, Gazania rigens, Hedychium gardnerianum, Lathyrus tingitanus, Leymus racemosus, Lycopus europaeus, Pinus muricata, Rhamnus alaternus, Salpichroa origanifolia, Senecio angulatus, Albizia julibrissin, Lophospermum erubescens, Erythrina sykesii, Hakea gibbosa, Cenchrus clandestinus, Erica baccans, Reynoutria sachalinensis, Erica arborea, Rumex sagittatus, Senecio elegans, Solanum carolinense, Solanum pseudocapsicum, Aristea ecklonii, Calicotome spinosa, Pultenaea daphnoides, Reynoutria japonica, Gladiolus undulatus, Glyceria declinata, Callistachys lanceolata, Carthamus lanatus, Nardus stricta, Spartium junceum, Nassella neesiana, Crocosmia crocosmiiflora, Clematis vitalba, Nassella trichotoma, Artemisia verlotiorum, Lonicera japonica, Thymus vulgaris, Ageratina adenophora, Cortaderia selloana, Pinus halepensis, Pinus nigra, Pinus ponderosa, Pseudotsuga menziesii, Salix cinerea, Solanum dulcamara, Juncus acutus, Prunus domestica, Rubus phoenicolasius, Sorghum halepense, Selaginella kraussiana, Equisetum arvense, Chamaecytisus prolifer, Larix decidua, Pinus sylvestris, Acacia melanoxylon, Carex divulsa, Berberis glaucocarpa, Cornus capitata, Panicum miliaceum, Tradescantia fluminensis, Senecio skirrhodon, Ageratina riparia, Alnus glutinosa, Lantana camara, Acacia paradoxa, Erica lusitanica, Juncus squarrosus, Calluna vulgaris, Impatiens glandulifera, Cestrum parqui, Carex demissa, Hakea salicifolia, Galega officinalis, Asparagus asparagoides, Calystegia silvatica, Cupressus macrocarpa, Fraxinus excelsior, Pinus radiata, Populus alba, Ribes sanguineum, Sedum acre, Sorbus aucuparia, Carex longebrachiata, Ilex aquifolium, Bidens frondosa, Acacia mearnsii, Allium triquetrum, Carduus nutans, Crataegus monogyna, Cytisus multiflorus, Hedychium flavescens, Imperata cylindrica)",
 "Year 2010-2026"
 ]
}

 The dataset includes 73779 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073554-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13902398
title: Air temperature measurements from Automatic Weather Station (AWS) at Freiburg – Werthmannstrasse (FRWRTM) from 2021-01-01 to 2021-12-31 [L2]

description: Quality controlled and gap-filled continuous air temperature data from the urban weather station at Freiburg-Werthmannstrasse (FRWRTM, 7.8447ºE, 47.9928, 277 m) using a passively ventilated and shielded temperature and humidity probe (Campbell Scientific Inc., CS 215) operated in a Stevenson Screen 2m above ground level in the vegetated backyard of Werthmannstrasse 10.



Quality controlled in-canopy air temperature data are available and aggregated at 10min, 30min, hourly, daily, monthly and yearly resolution for the year 2021.

Average, minimum and maximum in-canopy air temperatures are provided on hourly, daily, monthly and annual scales.

Characteristic hours and days are reported on daily, monthly and annual scales (e.g. summer days with T_max > 25ºC, hot days with T_max > 30º, desert days with T_max > 35ºC, tropical nights with T_min > 20°, frost days with T_min < 0ºC and ice days with T_max < 0ºC, all based on 00:00 - 24:00 UTC).

Detailed information on gap-filled data is provided.

Note: All times are provided in UTC, not local time.


For more details read `FRWRTM_2021_AirTemperature_MetaData.txt`.

Version 1.1 contains additionally air temperature data aggregated at 10min and 30min.
description: COPYRIGHT



Creative Commons Attribution 4.0 International. Copyright Albert-Ludwigs-Universität Freiburg, Professur für Umweltmeteorologie, Werthmannstrasse 10, Freiburg, Germany.


CREATOR

This work is owned by the University of Freiburg.

ATTRIBUTION

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005) and the University of Freiburg.

DISCLAIMER

The use of the work is at the user's own risk. The authors, the University of Freiburg, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the University of Freiburg and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.
DOI: 10.5281/zenodo.10855267
title: Air temperature measurements from Automatic Weather Station (AWS) at Freiburg – Werthmannstrasse (FRWRTM) from 2021-01-01 to 2021-12-31 [L2]

description: Quality controlled and gap-filled continuous air temperature data from the urban weather station at Freiburg-Werthmannstrasse (FRWRTM, 7.8447ºE, 47.9928, 277 m) using a passively ventilated and shielded temperature and humidity probe (Campbell Scientific Inc., CS 215) operated in a Stevenson Screen 2m above ground level in the vegetated backyard of Werthmannstrasse 10.



Quality controlled in-canopy air temperature data are available and aggregated at 10min, 30min, hourly, daily, monthly and yearly resolution for the year 2021.

Average, minimum and maximum in-canopy air temperatures are provided on hourly, daily, monthly and annual scales.

Characteristic hours and days are reported on daily, monthly and annual scales (e.g. summer days with T_max > 25ºC, hot days with T_max > 30º, desert days with T_max > 35ºC, tropical nights with T_min > 20°, frost days with T_min < 0ºC and ice days with T_max < 0ºC, all based on 00:00 - 24:00 UTC).

Detailed information on gap-filled data is provided.

Note: All times are provided in UTC, not local time.


For more details read `FRWRTM_2021_AirTemperature_MetaData.txt`.

Version 1.1



contains additionally air temperature data aggregated at 10min and 30min.


Version 1.2



corrects an error in the time-axis of the file "..._Air_Temperature2m_10_min_UTC.csv", where previously the file would only contain reasonable values until August-15, 23:50. Other files were unaffected by this.

displays times according to ISO 8610 to unambiguously identify that all times are given in UTC. Further, the column headers for the time periods have been changed to "From" and "To" to indicate the start and end of the aggregation periods.
description: COPYRIGHT



Creative Commons Attribution 4.0 International. Copyright Albert-Ludwigs-Universität Freiburg, Professur für Umweltmeteorologie, Werthmannstrasse 10, Freiburg, Germany.


CREATOR

This work is owned by the University of Freiburg.

ATTRIBUTION

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005) and the University of Freiburg.

DISCLAIMER

The use of the work is at the user's own risk. The authors, the University of Freiburg, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the University of Freiburg and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.
DOI: 10.5281/zenodo.17675128
title: Air temperature measurements from Automatic Weather Station (AWS) at Freiburg – Werthmannstrasse (FRWRTM) from 2021-01-01 to 2021-12-31 [L2]

description: Quality controlled and gap-filled continuous air temperature data from the urban weather station at Freiburg-Werthmannstrasse (FRWRTM, 7.8447ºE, 47.9928, 277 m) using a passively ventilated and shielded temperature and humidity probe (Campbell Scientific Inc., CS 215) operated in a Stevenson Screen 2m above ground level in the vegetated backyard of Werthmannstrasse 10.



Quality controlled in-canopy air temperature data are available and aggregated at 10min, 30min, hourly, daily, monthly and yearly resolution for the year 2021.

Average, minimum and maximum in-canopy air temperatures are provided on hourly, daily, monthly and annual scales.

Characteristic hours and days are reported on daily, monthly and annual scales (e.g. summer days with T_max > 25ºC, hot days with T_max > 30º, desert days with T_max > 35ºC, tropical nights with T_min > 20°, frost days with T_min < 0ºC and ice days with T_max < 0ºC, all based on 00:00 - 24:00 UTC).

Detailed information on gap-filled data is provided.

Note: All times are provided in UTC, not local time.


For more details read `FRWRTM_2021_AirTemperature_MetaData.txt`.

Version 1.1



contains additionally air temperature data aggregated at 10min and 30min.


Version 1.2



corrects an error in the time-axis of the file "..._Air_Temperature2m_10_min_UTC.csv", where previously the file would only contain reasonable values until August-15, 23:50. Other files were unaffected by this.

displays times according to ISO 8610 to unambiguously identify that all times are given in UTC. Further, the column headers for the time periods have been changed to "From" and "To" to indicate the start and end of the aggregation periods.
description: COPYRIGHT



Creative Commons Attribution 4.0 International. Copyright Albert-Ludwigs-Universität Freiburg, Professur für Umweltmeteorologie, Werthmannstrasse 10, Freiburg, Germany.


CREATOR

This work is owned by the University of Freiburg.

ATTRIBUTION

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005) and the University of Freiburg.

DISCLAIMER

The use of the work is at the user's own risk. The authors, the University of Freiburg, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the University of Freiburg and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.
DOI: 10.15468/dl.44rtjb
title: Occurrence Download

description: A dataset containing 80741 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erebia",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1970",
 "Country is one of (Italy, Switzerland, Germany, Austria, Slovenia, France)"
 ]
}

 The dataset includes 80741 records from 232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073564-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.74g8bz
title: Occurrence Download

description: A dataset containing 1081874 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1081874 records from 402 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010770-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28664528.v4
title: Phenotype Associations with Feeders/Eucalyptus

description: mcmcGLMM models for phenotypic associations with feeder or Eucalyptus abundance. Included are the raw data as well as the stepwise regression models for model testing.
DOI: 10.7303/syn52594249
title: JHbatch1_WUbatches_BED_common_regions_with_overlap_GRCh38.bed.gz
DOI: 10.15468/dl.sxrgp4
title: Occurrence Download

description: A dataset containing 1841204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Repatriated is TRUE",
 "Country is Norway",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is null",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
 },
 {
 "not" : {
 "DatasetKey" : [
 "is EBCC Atlas of European Breeding Birds"
 ]
 }
 }
 ]
}

 The dataset includes 1841204 records from 1566 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003891-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3zvnj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera pardus nimr (Hemprich & Ehrenberg, 1833)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003910-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dwwpqu
title: Occurrence Download

description: A dataset containing 97782 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corynephorus canescens (L.) P.Beauv."
 ]
}

 The dataset includes 97782 records from 690 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003909-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48726/gnfng-gwj94
title: Port Dues calculations

description: Calculation of port dues of selected Estonian, Latvian, Finnish and Swedish ports. Year 2022. Excel file.
DOI: 10.48726/zbapt-3hz53
title: Position-prediction and MEC resource calculation

description: Yo can access the dataset through the link below:Position-prediction-main
The folder includes some functions and datasets for position prediction that are used for service placement and migration task.  
The Datasets (Real and synthetic) used for position prediction.

Data file obtained from one of the RTK measurements campaign, which is used for the position prediction.
data_col25.csv: Field trials' dataset. This is one of the Excel files that represent the real dataset (from the measurement campaign). The input features are 25 (The features are COG (course over ground), COGD (COG difference), longitude, latitude, and speed. Five previous measurements are stored and used for each of these features).
The Excel files are some of the different synthetic datasets that are used for position prediction.
ANNGridSearch.py: An ANN python script (with grid-search) that performs the position prediction.
ErlangB.m: An example of two Erlang-B calculation functions. That can be used to calculate the Blocking probability.
Other real and synthetic datasets, obtained using different devices and from various physical locations, are also available. For inquiries, please reach out to the contact person (Osama Elgarhy).
DOI: 10.48726/00fa9-5xv20
title: MarCyb dataset

description: Digitalisation is a global trend affecting many critical infrastructures, including maritime transportation. Incorporating information and operational technologies into transportation processes significantly enhances efficiency but also introduces substantial risks originating from cyberspace.
To support researchers and cyber experts, we share maritime navigation network data with and without cyber attacks.
DOI: 10.48726/jz1ah-kpy71
title: Dataset of Estonian phosphorite dissolution in hydrochloric acid

description: The file with the name experimental_measurements.csv contains experimental data for parallel experiments of Estonian phosphorite dissolution in hydrochloric acid and has columns of 

time - seconds from the beginning of the experiment
 M - acid molarity,
size - phosphorite particle size
 F_con, F_pro, P_con, P_pro, Ca_con, Ca_pro, Fe_con, Fe_pro  - compounds concentration and solubility pocentage. 
Try - number of experiment
ph_filtered - measured pH, smoothed by noise-reduction filter
The file with the name experimental_averaged.xlsx has averaged experimental data for each experiment setup.
DOI: 10.48726/j0mys-2dr75
title: Dataset in support of the paper 'Experimental dataset on aluminium wedge slamming: measurements of acceleration, pressure, strain, and video data'

description: This dataset presents the measurements from three experimental campaigns conducted on a three-dimensional non-prismatic aluminium wedge, complementing the original research article "Slamming loads and responses on a non-prismatic stiffened aluminium wedge: Part I. Experimental study." The experiments were designed to investigate the effects of slamming loads on structural responses through a series of free-fall drop tests. These tests included both symmetric and asymmetric impacts on an aluminium wedge section, designed with two different bottom plates (stiffened and unstiffened) to examine the influence of flexural rigidity on hydroelastic slamming. Vertical acceleration during the free-fall impact was measured using three accelerometers. Sixteen pressure sensors were employed to capture slamming pressures during impact, and twenty strain gauges recorded structural responses in both longitudinal and transverse directions on the wedge surface. Detailed descriptions of the experimental conditions, including wedge geometry, material properties, and the test plan, are provided. The measurements are presented as time histories of sensor records. Symmetric impact tests were conducted at various drop heights ranging from 25 cm to 200 cm and involved two different wedge masses (denoted as m1 and m2) to assess the effect of structural mass on impact-induced loads and responses. Asymmetric impact tests were carried out at three drop heights with heel angles ranging from 5 to 25 degrees. Video footage from different runs is included in this dataset, providing illustrative samples of the experimental procedures.
DOI: 10.48726/xwy13-efd98
title: Forklift Positioning and Inertial Data Collected in the Industrial Environment

description: Dataset of the positioning and inertial data, collected with the use of the forklift, naturally operating in the industrial environment. Dataset is provided in the Dataset.csv file and has the following structure: X, Y, TIME.xy, dt.xy, GYR_X, GYR_Y, GYR_Z, ACC_X, ACC_Y, ACC_Z, MAG_X, MAG_Y, MAG_Z, RLL, PCH, YAW, MAG.YAW, TIME.IMU, dt.IMU, TRU, KEY, MOV.
Positioning data was collected with the use of the UWB RTLS system, deployed in the industrial area. The UWB tag was attached to the top of the forklift, and operating at a 5Hz update rate. Provided positioning information includes 2D coordinates (X & Y) in meters, normalized tag internal clock time (TIME.xy) in seconds, and corresponding delta time (dt.xy) in seconds. 
Inertial data was collected with the use of 9-DOF IMU unit (Bosh bno055), attached to the top of the forklift. Inertial data was collected at the update rate of 100Hz, and includes triaxial gyroscope readings (GYR_X, GYR_Y & GYR_Z) in degrees per second, triaxial accelerometer readings (ACC_X, ACC_Y & ACC_Z) in meters per second squared, and triaxial magnetometer readings (MAG_X, MAG_Y & MAG_Z) in microteslas. The dataset also includes Euler roll, pitch, and yaw angles (RLL, PCH & YAW) in degrees, calculated by the IMU unit internally, and magnetometer data-based heading (MAG.YAW) in degrees, calculated separately for the used local coordinates system. Magnetometer data-based heading includes +90 degrees correction, as the deployed UWB local coordinates system in the test area is rotated -90 degrees in relation to the magnetic north. IMU internal clock time (TIME.IMU) in seconds, and the corresponding delta time (dt.IMU) in seconds are provided.
Extra information, provided in the dataset, includes the expected true heading of the forklift (TRU) in degrees, and manually recreated using available positioning data and other information from the area, available at the 10Hz rate. A total of 8 designators (KEY) are available, indicating moments of time when the forklift was interacting with the payload in the industrial area (picking up or dropping down). The moving or stationary status of the forklift is additionally labeled in this dataset (MOV).
Data from both UWB tag and IMU was collected simultaneously by the same processing unit, providing sensors' synchronization.
DOI: 10.48726/nfdpc-wvm14
title: Data from: Formation of property gradient in coarse-grained niobium using a wedge tool - experiment and analysis

description: The processes of severe plastic deformation are an effective approach for creating an ultra-fine grain structures and increasing mechanical properties of bulk materials. However, there are usually size limitations for the processed workpieces. Surface treatment processes typically deform only a surface layer of limited thickness in a workpiece or finished part. 
A novel severe plastic deformation process for coarse-grained niobium is introduced in the current work, which employs a tool with an inclined (wedge) surface for deforming the material by reverse shear scheme. The process increases the intensity of shear deformations and the depth of plastic deformation in the body of the workpiece when a wedge tool acts on a surface. The essence of the process is the repeated displacement of the workpiece material in opposite directions during the asymmetrical introduction of a wedge tool until the required degree of deformation is accumulated in the tool-affected volume. This deformation scheme applies a 15° angle wedge tool to a workpiece of 21 mm height. After 9 cycles of plastic deformation, it enabled to create a gradient of the accumulated degree of deformation in the range of true strain e = 0.3 – 4.5. At maximum deformation, the microhardness of the workpieces increased by 1.86 times and the tensile strength by 1.6 times. Fractograms show a significant influence of the accumulated degree of deformation on the nature of fracture. The finite element method simulation of the deformation process showed that creating a uniformly strengthened layer requires at least five deforming operations.
The proposed reverse shear process with a wedge tool can be used, for example, for improving the structure of the surface layers of niobium ingots for subsequent forming. Due to the creation of a significant gradient of properties, the reverse shear process can be used as an express method for determining the mechanical characteristics of different materials in a wide range of accumulated degree of deformation.  
description: This upload contains measurement and simulation data, on the analysis of which the manuscript is based. Here are also the images that were used for the figures as well as the photos to document the experiments.
DOI: 10.48726/9qt35-0yx82
title: EARLY-STAGE CALCULATION MODEL FOR PLANNING HEATING AND VENTILATION SOLUTIONS FOR TYPICAL APARTAMENT BUILDINGS