cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.a9hn92
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((22.19128 -33.99621,25.41577 -33.92148,25.32019 -32.8759,22.24402 -32.96996,22.19128 -33.99621))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acacia mearnsii De Wild.",
 "Year 2020-2021"
 ]
}

 The dataset includes 80 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0328733-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.knr0gc
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Pterygoplichthys anisitsi Eigenmann & Kennedy, 1903",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 61 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032567-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/29xgrfrp37.1
title: Sensitivity and Specificity of ABCDE Clinical Criteria for Pigmented Basal Cell Carcinoma in Skin of Color

description: Clinical photographs of the subjects. (A) Asymmetry component in seborrheic keratosis lesion. (B) Border component in melanocytic nevus lesion. (C) Color component in basal cell carcinoma lesion. (D) Asymmetry, border, and color components in basal cell carcinoma lesion
DOI: 10.22008/fk2/rtfm0k/gnlkfu
title: SICEv3.0_AlaskaYukon_500m_2021_07_05.nc

description: EDC SICE output: SICEv3.0_AlaskaYukon_500m_2021_07_05.nc, date: 2021_07_05
DOI: 10.17632/db2ndry73j.1
title: Njweng Geochemical data of BIF facies

description: BIF Geochemical Data
DOI: 10.22008/fk2/rtfm0k/er3pn3
title: SICEv3.0_AlaskaYukon_500m_2021_07_06.nc

description: EDC SICE output: SICEv3.0_AlaskaYukon_500m_2021_07_06.nc, date: 2021_07_06
DOI: 10.15468/dl.dxhqtd
title: Occurrence Download

description: A dataset containing 3158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Amaranthus hybridus L."
 ]
}

 The dataset includes 3158 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022783-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/p3txj3rfj2.1
title: Data For: The Precision Oncology Approach to Molecular Cancer Therapeutics Targeting Oncogenic Signaling Pathways is a Means to an End

description: Cancer is a fatal genetic disease with different aspects of complexity, including cancer immune evasion, treatment resistance and recurrence, requiring optimized treatment for proper cure. Molecular studies have revealed that tumors are hugely heterogeneous in nature, leading to the complexity of cancer progression that is ultimately linked to its genetic machinery. In recent decades, there has been a deluge in the large-scale production of anticancer agents, primarily due to advances in genomic technologies enabling precise targeting of oncogenic pathways involved in disease development. It is important to note that patients with the same types of cancer respond differently to cancer treatments, indicating the need for patient-specific treatment options. An in-depth genomic study of tumors will be needed to fully understand the driving factors of cancer initiation and progression for effective targeted therapy. Precision oncology has evolved as a form of cancer therapy focused on genetic profiling of patients’ tumors to identify molecular alterations involved in cancer manifestation for tailored individualized treatment of the disease. This article aims to briefly explain the foundations and frontiers of precision oncology and review the tools and techniques involved in the process to assess its scope and importance in achieving effective cures against cancer.
DOI: 10.15468/dl.sg78xz
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.24828 50.80585,4.27986 50.80585,4.27986 50.83101,4.24828 50.83101,4.24828 50.80585))",
 "HasGeospatialIssue is false",
 "TaxonKey is Hymenoptera"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0319194-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/rtfm0k/jsw3fs
title: SICEv3.0_AlaskaYukon_500m_2021_07_07.nc

description: EDC SICE output: SICEv3.0_AlaskaYukon_500m_2021_07_07.nc, date: 2021_07_07
DOI: 10.15468/dl.g29qy3
title: Occurrence Download

description: A dataset containing 41047 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pentaglottis sempervirens (L.) Tausch ex L.H.Bailey"
 ]
}

 The dataset includes 41047 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0328739-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7y6uvr
title: Occurrence Download

description: A dataset containing 7917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Hydrobius fuscipes (Linnaeus, 1758))",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 7917 records from 184 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018000-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/459cs4zgcp.1
title: Individual variation and niche partitioning of a rapidly expanding bat

description: Description of the data and file structure

This data set contains data and scripts necessary to model individual niches of two bat species. Data files include raw recordings from an automated Very-High-Frequency (VHF) tracking system, excel files of metabarcoding data of bat guano and land cover data. The scripts comprise the workflow to filter data, calculate bearings and triangulations and build dynamic Brownian bridge movement models (dBMMs). Finally, the dBMMs are used to calculate temporal explicit habitat selection ratios and to model individual niches of bats.

a_TriangulationEstimation
This folder contains the R-scripts required to triangulate the pre-filtered data. First step is to pre-filter data based on the interval between consecutive signals. Then, the bearings are calculated using a cosine approach. Finally, the bearings are triangulated using Azimuthal Telemetry Models (ATM).

The fits of the ATM have a size of 56.42 GB. Thus, they are not provided here, but can be shared on request.

Input: Raw data output: Triangulated location estimates including inaccuracy estimates

b_filterRawPoints
This folder contains the scripts to filter the triangulated locations based on activity (moving vs roosting) and speed.

Input: Triangulated location estimates including inaccuracy estimates Output: Filtered location estimates

c_MovementModels
This folder contains the scripts to transform the location data to dynamic Brownian Bridge movement models and burst the data to 30 min, 10 min, and 1 hour intervals.

Input: Filtered location estimates Output: Movement models, burst to 30 min, 10 min, and 1 hour intervals

d_landscapePreparation
This folder contains the scripts to crop the land cover data and calculate selection ratios of the respective land cover types.

Input: land cover data (Corine, Land Burgenland), movement models Output: Temporal explicit selection ratios

e_ nicheModels
This folder contains the scripts to build niche models based on the temporal explicit selection ratios

Input: Temporal explicit selection ratios Output: Individual niche models

f_metabarcoding
This folder contains the analysis of the metabarcoding.

Input: Output of metabarcoding analysis Output: PERMANOVA of metabarcoding results, NMDS and Pianka’s niche overlap
DOI: 10.15468/dl.dphba9
title: Occurrence Download

description: A dataset containing 98260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Natrix natrix (Linnaeus, 1758)",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 98260 records from 878 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017992-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vskc8cmdf7.1
title: raw data

description: WB raw data
DOI: 10.17632/wbwfxht3hb.1
title:  A Second-Order TGV Discretization with Some Invariance Properties (Supplementary MATLAB files)

description: This repository contains the experimental source code to reproduce the numerical experiments in:

Alireza Hosseini and Kristian Bredies. A Second-Order TGV Discretization with Some Invariance Properties, 2022, https://arxiv.org/pdf/2209.11450.pdf

If you find these codes useful, please cite the above-mentioned paper.

Denoising problems are solved via 4 variational models:
1- The Classic TV (ROF model) ;
2- The Condat's TV;
3- The Classic Discrete Second Order TGV;
4- The Propsoesd Discrete Second Order TGV (above paper). 

Moreover, values of two second order TGVs (3 and 4 above) for the given image and its 90 degree rotated version 
are computed to illustrate invariance property of the proposed model.
DOI: 10.17632/wbwfxht3hb.2
title: A Second-Order TGV Discretization with 90° Rotational Invariance Property (Supplementary MATLAB files)

description: This repository contains the experimental MATLAB source code and data to reproduce the numerical experiments in:

Alireza Hosseini and Kristian Bredies. A Second-Order TGV Discretization with 90° Rotational Invariance Property, arXiv preprint 2209.11450, 2022. https://arxiv.org/abs/2209.11450

If you find the code useful, please cite this paper.

The package implements primal-dual algorithms for the following 4 variational image denoising models:

(a) Classic total variation (TV) model (ROF model) [1]
(b) Condat's TV model [2]
(c) Classic second-order total generalized variation (TGV) [3]
(d) The proposed discrete second-order TGV model (above paper) 

[1] Rudin, L. I., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms, Phys. D, 60, 259–268 (1992).
[2] Condat, L.: Discrete total variation: new definition and minimization, SIAM Journal on Imaging Sciences, 10(3), 1258–1290 (2017).
[3] Bredies, K., Kunisch, K. and Pock, T.: Total generalized variation, SIAM J. Imaging Sci., 3, 492–526 (2010).

The software contains the following test scripts:

•   color_test: Computes the results of the color image denoising algorithms for one test image. The tested methods are classical TV,
    Condat-TV, classical TGV and proposed TGV with Euclidean/Frobenius norm coupling across the color channels.

•   denoise_test: Computes the results of the gray-scale image denoising algorithms for six natural test images. The tested methods are
    classical TV, Condat-TV, classical TGV and proposed TGV.

•   higher_order_stencil_test: Computes results for TV denoising with finite difference stencils of higher window size and for one test
    image. The used stencils are 1/2*[-1 0 1] and 1/12*[1 -8 0 8 -1].

•   invariance_test: Compares the values of classical TGV and proposed TGV for an image and its 90^(∘) rotated version. Computations are
    performed for three test images.

•   synthetic_test: Computes the results of the gray image denoising algorithms for two synthetic test images. The tested methods are
    classical TV, Condat-TV, classical TGV and proposed TGV.

For more details, see the instructions file 'MATLAB code instructions.pdf'.
DOI: 10.17632/wbwfxht3hb.3
title: A Second-Order TGV Discretization with 90° Rotational Invariance Property (Supplementary MATLAB files)

description: This repository contains the experimental MATLAB source code and data to reproduce the numerical experiments in:

Alireza Hosseini and Kristian Bredies. A Second-Order TGV Discretization with 90° Rotational Invariance Property, arXiv preprint 2209.11450, 2022. https://arxiv.org/abs/2209.11450

The package implements primal-dual algorithms for the following 5 variational image denoising models:

(a) Classic total variation (TV) model (ROF model) [1]
(b) Condat's TV model [2]
(c) Classic second-order total generalized variation (TGV) [3]
(d) The proposed discrete second-order TGV model (above paper) 
(e) Second order Shannon TGV

[1] Rudin, L. I., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms, Phys. D, 60, 259–268 (1992).
[2] Condat, L.: Discrete total variation: new definition and minimization, SIAM Journal on Imaging Sciences, 10(3), 1258–1290 (2017).
[3] Bredies, K., Kunisch, K. and Pock, T.: Total generalized variation, SIAM J. Imaging Sci., 3, 492–526 (2010).
[4] Hosseini, A., and Bazm, S.: The second order Shannon total generalized variation for image restoration, Signal Processing, 204, 108848 (2023)

The software contains the following test scripts:

• color_test: Computes the results of the color image denoising algorithms for one test image. The tested methods are classical TV, Condat-TV, classical TGV and proposed TGV with Euclidean/Frobenius norm coupling across the color channels.

• denoise_test: Computes the results of the gray-scale image denoising algorithms for one test image. The tested methods are classical TV, Condat-TV, classical TGV, Shannon TGV, and proposed TGV.

• upscaling_test: Computes the results of the gray-scale image upscaling algorithms for one test image. The tested methods are classical TV, Condat-TV, classical TGV, Shannon TGV, and proposed TGV.

• higher_order_stencil_test: Computes results for TV denoising with finite difference stencils of higher window size and for one test image. The used stencils are 1/2*[-1 0 1] and 1/12*[1 -8 0 8 -1].

• invariance_test: Compares the values of classical TGV and proposed TGV for an image and its 90^(∘) rotated version. Computations are performed for three test images.

• synthetic_test: Computes the results of the gray image denoising algorithms for a synthetic test image. The tested methods are classical TV, Condat-TV, classical TGV and proposed TGV.

• denoise_test_BSDS_data_PSNR (SSIM): Computes the results of the gray image denoising algorithms for 25 first test images from BSDS database, with the best PSNR (SSIM) criteria. The tested methods are classical TV, Condat-TV, classical TGV and proposed TGV.

• upscaled_test_BSDS_data_PSNR (SSIM): Computes the results of the gray image upscaling algorithms for 25 first test images from BSDS database, with the best PSNR (SSIM) criteria. The tested methods are classical TV, Condat-TV, classical TGV and proposed TGV.
DOI: 10.15468/dl.crybfd
title: Occurrence Download

description: A dataset containing 7937 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Hydroporus angustatus Sturm, 1835)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 7937 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018002-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/f7xw4h88
title: Pacific Walrus Coastal Haulout Images from Remote Camera Stations

description: This data package contains digital photos of a walrus haulout location at Cape Greig, on the Alaska Peninsula summer 2023. Photos were taken up to three times daily from a remotely operated camera located on a bluff above the haulout. The camera was installed in the early spring 2023, prior to arrival of walruses at the site. Images were transferred via satellite link.
DOI: 10.6084/m9.figshare.27038587
title: BD_UNIZAR.xlsx

description: Psychological factors and resilience as mediators of sports passion. The present study aims to analyze the psychological characteristics associated with the performance of amateur athletes, exploring their relationship with key variables such as resilience, harmonious and obsessive passion, and perception of discomfort. The main objective is to establish the relationship between psychological characteristics with each of the variables used, resilience (personal competence; and acceptance of self and life) and to consider whether these are related to passion (harmonious and obsessive), through a structural equation analysis. The sample is composed of 110 persons, 87 adults (22 females, mean age 40.7±9.1 years and 65 males, mean age in years 42.1±11.9) and 23 adolescents (16 females, mean age 14.8±1.3 years and 7 males, mean age 15.3±2.1 years). Psychological characteristics were assessed using the Psychological Characteristics Related to Performance (CPRD) questionnaire, passion using the Passion Scale instrument, and the Resilience Scale -RS-14 questionnaire. The analyses performed were based on a structural equation model analysis (PLS-SEM). The results showed adequate coefficients of determination (R index2 ) and Stone-Geisser predictive relevance (Q2 ), for the personal competence resilience factors (R2 =.517; Q²=.218), Acceptance of self and life (R2 =.415; Q² =.231); and for the passion dimensions: Harmonious passion (R2 =.357; Q²=.168); and Obsessive passion (R2 =.085; Q²=.034). In conclusion, a close relationship is demonstrated between psychological characteristics related to sports performance and the variables of resilience and passion (both harmonious and obsessive). In particular, it is confirmed that mental skills and stress management are linked to the dimensions of resilience, and these dimensions influence both types of passion. In addition, team cohesion and personal competence also play a crucial role in the development of passion, highlighting the importance of these factors in the assessment of sports performance and influencing the well-being of both professional and amateur athletes in their personal and sports development.
DOI: 10.6084/m9.figshare.27038587.v1
title: BD_UNIZAR.xlsx

description: Psychological factors and resilience as mediators of sports passion. The present study aims to analyze the psychological characteristics associated with the performance of amateur athletes, exploring their relationship with key variables such as resilience, harmonious and obsessive passion, and perception of discomfort. The main objective is to establish the relationship between psychological characteristics with each of the variables used, resilience (personal competence; and acceptance of self and life) and to consider whether these are related to passion (harmonious and obsessive), through a structural equation analysis. The sample is composed of 110 persons, 87 adults (22 females, mean age 40.7±9.1 years and 65 males, mean age in years 42.1±11.9) and 23 adolescents (16 females, mean age 14.8±1.3 years and 7 males, mean age 15.3±2.1 years). Psychological characteristics were assessed using the Psychological Characteristics Related to Performance (CPRD) questionnaire, passion using the Passion Scale instrument, and the Resilience Scale -RS-14 questionnaire. The analyses performed were based on a structural equation model analysis (PLS-SEM). The results showed adequate coefficients of determination (R index2 ) and Stone-Geisser predictive relevance (Q2 ), for the personal competence resilience factors (R2 =.517; Q²=.218), Acceptance of self and life (R2 =.415; Q² =.231); and for the passion dimensions: Harmonious passion (R2 =.357; Q²=.168); and Obsessive passion (R2 =.085; Q²=.034). In conclusion, a close relationship is demonstrated between psychological characteristics related to sports performance and the variables of resilience and passion (both harmonious and obsessive). In particular, it is confirmed that mental skills and stress management are linked to the dimensions of resilience, and these dimensions influence both types of passion. In addition, team cohesion and personal competence also play a crucial role in the development of passion, highlighting the importance of these factors in the assessment of sports performance and influencing the well-being of both professional and amateur athletes in their personal and sports development.
DOI: 10.6073/pasta/f921a2a9ad3eba4789c9ec7fe8bc1ab7
title: Plant community richness and foliar fungicides impact soil Streptomyces inhibition, resistance, and resource use phenotypes

description: Data associated with "Plant community richness and foliar fungicides impact soil Streptomyces inhibition, resistance, and resource use phenotypes" (DOI: 10.3389/fmicb.2024.1452534). These data include soil resource measurements and various phenotypic measurements of associated Streptomyces isolates/populations. Specifically, these data note population level inhibition phenotypes according to Herr's Assays, isolate level antibiotic resistance phenotypes against 9 standard antibiotics, and isolate level resource use phenotypes quantified with Biolog SF-P2 96 well plates.
DOI: 10.15468/dl.hg9dpq
title: Occurrence Download

description: A dataset containing 631 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dinizia excelsa Ducke"
 ]
}

 The dataset includes 631 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018003-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7fz9vm
title: Occurrence Download

description: A dataset containing 2070 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Hydroporus discretus Fairmaire & Brisout de Barneville, 1859)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2070 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018004-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7wea4x
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limonium rezniczenkoanum Lincz."
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018005-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.