cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.c66nj9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gnathotrichus sulcatus Wood & Bright, 1992",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Poland",
 "Country is Poland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0368752-210914110416597/datasets/export for details.
DOI: 10.15468/dl.nx7ktd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eupithecia palpata Packard, 1873",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Poland",
 "Country is Poland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0368791-210914110416597/datasets/export for details.
DOI: 10.15468/dl.wdrqjt
title: Occurrence Download

description: A dataset containing 581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Colombia, Brazil, New Zealand, Mexico, Tanzania, United Republic of, Mauritius, Papua New Guinea, United States of America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eucalyptus tereticornis Sm."
 ]
}

 The dataset includes 581 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010149-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrhj8m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sabulodes edwardsata (Hulst, 1886)",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Poland",
 "Country is Poland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0368805-210914110416597/datasets/export for details.
DOI: 10.15468/dl.hkkpra
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polycladus gayi Blanchard, 1847"
 ]
}

 The dataset includes 24 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007617-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wn4fr9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dioryctria rossi Munroe, 1959",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Poland",
 "Country is Poland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0368826-210914110416597/datasets/export for details.
DOI: 10.15468/dl.s7zu4a
title: Occurrence Download

description: A dataset containing 2205 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Entoloma chalybaeum (Fr.) Noordel., Entoloma clypeatum (L.) P.Kumm.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 2205 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239910-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v6tkqx
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum nylandicum Sonck & H.Øllg."
 ]
}

 The dataset includes 30 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007597-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5ranu
title: Occurrence Download

description: A dataset containing 1293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Entoloma corvinum (Kühner) Noordel.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 1293 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239918-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ffjsg3
title: Occurrence Download

description: A dataset containing 3846 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sporobolus ×townsendii (H.Groves & J.Groves) P.M.Peterson & Saarela"
 ]
}

 The dataset includes 3846 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138253-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzra9j
title: Occurrence Download

description: A dataset containing 6402 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Richardia scabra L."
 ]
}

 The dataset includes 6402 records from 307 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003232-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c5s76mj4bm.1
title: Mine4.0 - MineCareerDB : A mining career dataset

description: MineCareerDB is a carefully curated dataset intended for mining career analysis, offering a multidimensional perspective on the Benslimane mining site. The dataset is primarily composed of 373 high-resolution images captured using an RGB Camera FC6310 mounted on the DJI Phantom 4 Pro drone. These images provide a detailed visual representation of the mining environment, enabling a comprehensive examination of various aspects related to mining operations.
Along with the images, MineCareerDB contains a vast amount of additional data that can improve the usefulness of the dataset. The dataset comprises point cloud 3D representations of the mining career, which offer a three-dimensional spatial comprehension of the terrain. This information plays a crucial role in volumetric analysis, terrain modeling, and detecting changes over time.
There are various file formats available for the 3D format of a career. These formats include LAS, XYZ, and text. They make it easy to integrate data with different software and tools that professionals and researchers can use in different applications. LAS is used to store point cloud data, while XYZ represents coordinates of points. The text format shows the 3D data in a human-readable way. Additionally, there is a DEM file that contains elevation data for the entire mining area. This file is essential for terrain analysis, allowing for the extraction of elevation profiles, slope calculations, and other geospatial analyses.
In summary, MineCareerDB offers a vast collection of high-quality images, both in high-resolution and 3D representations in various formats, along with a DEM file. This diverse range of data types provides researchers, geospatial analysts, and mining experts with valuable insights into the Benslimane mining industry from multiple angles and dimensions.
DOI: 10.17632/c5s76mj4bm.2
title: Mine4.0 - MineCareerDB : A mining career dataset

description: MineCareerDB is a carefully curated dataset intended for mining career analysis, offering a multidimensional perspective on the Benslimane mining site. The dataset is primarily composed of 373 high-resolution images captured using an RGB Camera FC6310 mounted on the DJI Phantom 4 Pro drone. These images provide a detailed visual representation of the mining environment, enabling a comprehensive examination of various aspects related to mining operations.
Along with the images, MineCareerDB contains a vast amount of additional data that can improve the usefulness of the dataset. The dataset comprises point cloud 3D representations of the mining career, which offer a three-dimensional spatial comprehension of the terrain. This information plays a crucial role in volumetric analysis, terrain modeling, and detecting changes over time.
There are various file formats available for the 3D format of a career. These formats include LAS, XYZ, and text. They make it easy to integrate data with different software and tools that professionals and researchers can use in different applications. LAS is used to store point cloud data, while XYZ represents coordinates of points. The text format shows the 3D data in a human-readable way. Additionally, there is a DEM file that contains elevation data for the entire mining area. This file is essential for terrain analysis, allowing for the extraction of elevation profiles, slope calculations, and other geospatial analyses.
In summary, MineCareerDB offers a vast collection of high-quality images, both in high-resolution and 3D representations in various formats, along with a DEM file. This diverse range of data types provides researchers, geospatial analysts, and mining experts with valuable insights into the Benslimane mining industry from multiple angles and dimensions.
DOI: 10.17632/c5s76mj4bm.3
title: Mine4.0 - MineCareerDB : A mining career dataset

description: MineCareerDB is a carefully curated dataset intended for mining career analysis, offering a multidimensional perspective on the Benslimane mining site. The dataset is primarily composed of 373 high-resolution images captured using an RGB Camera FC6310 mounted on the DJI Phantom 4 Pro drone. These images provide a detailed visual representation of the mining environment, enabling a comprehensive examination of various aspects related to mining operations.
Along with the images, MineCareerDB contains a vast amount of additional data that can improve the usefulness of the dataset. The dataset comprises point cloud 3D representations of the mining career, which offer a three-dimensional spatial comprehension of the terrain. This information plays a crucial role in volumetric analysis, terrain modeling, and detecting changes over time.
There are various file formats available for the 3D format of a career. These formats include LAS, XYZ, and text. They make it easy to integrate data with different software and tools that professionals and researchers can use in different applications. LAS is used to store point cloud data, while XYZ represents coordinates of points. The text format shows the 3D data in a human-readable way. Additionally, there is a DEM file that contains elevation data for the entire mining area. This file is essential for terrain analysis, allowing for the extraction of elevation profiles, slope calculations, and other geospatial analyses.
In summary, MineCareerDB offers a vast collection of high-quality images, both in high-resolution and 3D representations in various formats, along with a DEM file. This diverse range of data types provides researchers, geospatial analysts, and mining experts with valuable insights into the Benslimane mining industry from multiple angles and dimensions.
DOI: 10.17632/c5s76mj4bm.4
title: Mine4.0 - MineCareerDB : A mining career dataset

description: MineCareerDB is a carefully curated dataset intended for mining career analysis, offering a multidimensional perspective on the Benslimane mining site. The dataset is primarily composed of 373 high-resolution images captured using an RGB Camera FC6310 mounted on the DJI Phantom 4 Pro drone. These images provide a detailed visual representation of the mining environment, enabling a comprehensive examination of various aspects related to mining operations.
Along with the images, MineCareerDB contains a vast amount of additional data that can improve the usefulness of the dataset. The dataset comprises point cloud 3D representations of the mining career, which offer a three-dimensional spatial comprehension of the terrain. This information plays a crucial role in volumetric analysis, terrain modeling, and detecting changes over time.
There are various file formats available for the 3D format of a career. These formats include LAS, XYZ, and text. They make it easy to integrate data with different software and tools that professionals and researchers can use in different applications. LAS is used to store point cloud data, while XYZ represents coordinates of points. The text format shows the 3D data in a human-readable way. Additionally, there is a DEM file that contains elevation data for the entire mining area. This file is essential for terrain analysis, allowing for the extraction of elevation profiles, slope calculations, and other geospatial analyses.
In summary, MineCareerDB offers a vast collection of high-quality images, both in high-resolution and 3D representations in various formats, along with a DEM file. This diverse range of data types provides researchers, geospatial analysts, and mining experts with valuable insights into the Benslimane mining industry from multiple angles and dimensions.
DOI: 10.17632/87hm5hwbpk.1
title: Fatigue Scattering Analytics of SS 316L Processed by Laser Fusion - Defect Dataset

description: Paper Abstract:
Laser powder bed fusion (LPBF) is a promising technology for manufacturing of high-strength parts with complex geometries. However, LPBF parts are notorious for generating geometrical defects (e.g., porosity) which make it challenging to merit applications involving fatigue due to the porosity-induced fatigue scattering. LPBF fatigue data and scattering studies in the literature are sparse but also inconsistent. This raises questions about the statistical significance of measured fatigue life distributions. There are also possible over or underpredictions of endurance limits, leading to unsafe designs or loss of advantages by being overconservative. This paper outlines a robust fatigue testing method for constructing S-N curves of LPBFed SS 316L to gain insights into the scattering nature of the fatigue performance at different stress amplitudes. Two different runout criteria (1×107 and 2×107 cycles) are also applied to investigate any fatigue limit underestimation and scattering about the knee point. The endurance limit is about 300 MPa for the selected process parameters and the resulting defect size distribution. The defect size-based model underpredicts the endurance limit by about 30 MPa compared with the experimentally determined data. In addition, the experimental scattering is quantified by using 95% prediction intervals for the fatigue life, showing that high stresses result in low scattering while stresses near the knee point have large variations in fatigue life.
DOI: 10.17632/87hm5hwbpk.2
title: Fatigue Scattering Analytics of SS 316L Processed by Laser Fusion - Defect Dataset

description: Automated 2D defect size measurements (spreadsheet of measured sizes, script for batch processing of optical images, and ImageJ macro for measuring size).
DOI: 10.15468/dl.4hhwmd
title: Occurrence Download

description: A dataset containing 7143 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amaranthus caudatus L."
 ]
}

 The dataset includes 7143 records from 447 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007486-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.njnuqh
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Domeykoa Phil."
 ]
}

 The dataset includes 48 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007489-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dk3uk7
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Eremocharis Phil."
 ]
}

 The dataset includes 244 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007490-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8166402
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Alwyn Howard Gentry, http://www.wikidata.org/entity/Q449930. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q449930
DOI: 10.5281/zenodo.8404857
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Alwyn Howard Gentry, http://www.wikidata.org/entity/Q449930. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q449930
DOI: 10.5281/zenodo.10681522
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Alwyn Howard Gentry, http://www.wikidata.org/entity/Q449930. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q449930
DOI: 10.5281/zenodo.12614759
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Alwyn Howard Gentry, http://www.wikidata.org/entity/Q449930. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q449930
DOI: 10.15468/dl.k4gwe7
title: Occurrence Download

description: A dataset containing 922 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Eryngium L."
 ]
}

 The dataset includes 922 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007491-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qetzr8
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Ateleia guaraya Herzog, Ateleia ovata Mohlenbr.)"
 ]
}

 The dataset includes 180 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007493-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/n77t7hc5r2.1
title: Comparing Traditional MTS Training to Observational Learning to Establish Equivalence Classes with Adults

description: We compared traditional match-to-sample training with individual observational learning of equivalence classes through the use of video models. Two groups of OL were included: one showing progressive performance and a second showing errorless performance throughout training. Data were collected during a computerized pretest, sorting pretest, training, a computerized posttest, and a sorting posttest. Results showed that OL-Mixed training (showing progressively increasing correct performance) led to the greatest increases from pretest to posttest. Additionally, OL-Mixed training led to the highest yield (i.e., number of participants passing the posttest/demonstrating equivalence class formation). 

Data for: Pre/Post Difference Scores, MTS Training Data, Group Means, Training Duration, Testing Duration, Yield, and Sorting Pre/Posttest Data.