cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25415586
title: Creating optimized machine learning pipelines for PV power generation forecasting using the grid search and tree-based pipeline optimization tool

description: Demand for electric power, especially amidst limited fossil fuel-based generation capacity, has elevated renewable energy sources to a forefront solution for the growing energy needs. Solar energy, a key renewable source through photovoltaic (PV) panels, faces challenges such as intermittency and non-dispatchability. Thus, recent research has focused on developing programs to predict near-future solar energy generation, with machine learning being a pivotal approach. This article details the creation of an effective machine-learning pipeline for predicting future hourly power generation based on weather data (e.g. temperature, humidity, irradiance). The pipeline, aimed at a scheduling system in a farm equipped with a Solar Power System (SPS) in Al-Salt, Jordan, was optimized using Genetic Algorithm and Grid Search methods. The objective of this article is to create an optimal pipeline with minimal loss. The evaluation shows that ensemble regressors, especially Gradient Boosting Regressors, are effective. This is evidenced in the grid search pipeline, which outperformed the TPOT optimization pipeline-derived pipeline, the latter including stacked ensemble regressors and sequential preprocessors.
DOI: 10.6084/m9.figshare.25415586.v1
title: Creating optimized machine learning pipelines for PV power generation forecasting using the grid search and tree-based pipeline optimization tool

description: Demand for electric power, especially amidst limited fossil fuel-based generation capacity, has elevated renewable energy sources to a forefront solution for the growing energy needs. Solar energy, a key renewable source through photovoltaic (PV) panels, faces challenges such as intermittency and non-dispatchability. Thus, recent research has focused on developing programs to predict near-future solar energy generation, with machine learning being a pivotal approach. This article details the creation of an effective machine-learning pipeline for predicting future hourly power generation based on weather data (e.g. temperature, humidity, irradiance). The pipeline, aimed at a scheduling system in a farm equipped with a Solar Power System (SPS) in Al-Salt, Jordan, was optimized using Genetic Algorithm and Grid Search methods. The objective of this article is to create an optimal pipeline with minimal loss. The evaluation shows that ensemble regressors, especially Gradient Boosting Regressors, are effective. This is evidenced in the grid search pipeline, which outperformed the TPOT optimization pipeline-derived pipeline, the latter including stacked ensemble regressors and sequential preprocessors.
DOI: 10.6084/m9.figshare.25516352
title: Investigation of MobileNet-Ssd on human follower robot for stand-alone object detection and tracking using Raspberry Pi

description: Human following is a very useful task in the robotics industry. With modern compact-sized robots, there is a demand for further investigated computer-vision solutions that can perform effectively on them. A well-known deep learning model along this line of thought is the MobileNet-Ssd, an object detection model renowned for its resource-constrained usage. Available in popular frameworks like TensorFlow and PyTorch, this model can be of great use in deployments on robotic applications. This research attempts to investigate the MobileNet-Ssd model in order to evaluate its suitability for stand-alone object detection on a Raspberry Pi. To determine the effect of input size on the model, the model’s performance has been investigated with speed in frames-per-second across different input sizes on both CPU and GPU-powered devices. To evaluate the model’s effectiveness in the human following task, a Raspberry Pi-based robot was designed leveraging the tracking-by-detection approach with TensorFlow-Lite. Furthermore, the model’s performance was evaluated using PyTorch while the model’s inputs were adjusted, and the results were compared to those of other state-of-the-art models. The investigation revealed that, despite its modest speeds, the model outperforms other noteworthy models in PyTorch and is an ideal choice when working with Raspberry Pi using TensorFlow-Lite.
DOI: 10.6084/m9.figshare.25060802
title: Mathematical analysis and modeling of fractional order human brain information dynamics including the major effect on sensory memory

description: In this work, we propose fractional-order deterministic mathematical models for human brain information dynamics, including the major effect on sensory memory. The two models are top-down and bottom-up processing. Mathematical models are analysed for different cases for long and short-term memory effects with the effect of experience and prior knowledge. Studies are conducted both qualitatively and quantitatively to analyse systems using fixed-point theory results. The impact of the global derivative, linear growth, and Lipschitz criteria are used to check the existence and uniqueness of the model for the biological feasibility of the system. Positivity and boundedness of the unique solution were also treated. The global stability of the proposed model is constructed by constructing the first and second derivatives for the Lyapunov function using wave analysis according to the equilibrium point. Numerical simulations of the proposed method in the range of fractional orders are conducted to demonstrate the implications of fractional and fractal orders. To further explore the impact of various parameters on the information processing process in the human brain, information in long-term memory, repetition, and rehearsal Chaotic modelling of the brain information dynamics model is also derived for different cases that are stable and bound to feasible regions. Results demonstrate the strong memory effect by using nonlocal and non-singular kernels at different fractional order values and fractal dimensions, which support experimental and theoretical observations.
DOI: 10.6084/m9.figshare.25060802.v1
title: Mathematical analysis and modeling of fractional order human brain information dynamics including the major effect on sensory memory

description: In this work, we propose fractional-order deterministic mathematical models for human brain information dynamics, including the major effect on sensory memory. The two models are top-down and bottom-up processing. Mathematical models are analysed for different cases for long and short-term memory effects with the effect of experience and prior knowledge. Studies are conducted both qualitatively and quantitatively to analyse systems using fixed-point theory results. The impact of the global derivative, linear growth, and Lipschitz criteria are used to check the existence and uniqueness of the model for the biological feasibility of the system. Positivity and boundedness of the unique solution were also treated. The global stability of the proposed model is constructed by constructing the first and second derivatives for the Lyapunov function using wave analysis according to the equilibrium point. Numerical simulations of the proposed method in the range of fractional orders are conducted to demonstrate the implications of fractional and fractal orders. To further explore the impact of various parameters on the information processing process in the human brain, information in long-term memory, repetition, and rehearsal Chaotic modelling of the brain information dynamics model is also derived for different cases that are stable and bound to feasible regions. Results demonstrate the strong memory effect by using nonlocal and non-singular kernels at different fractional order values and fractal dimensions, which support experimental and theoretical observations.
DOI: 10.6084/m9.figshare.25516352.v1
title: Investigation of MobileNet-Ssd on human follower robot for stand-alone object detection and tracking using Raspberry Pi

description: Human following is a very useful task in the robotics industry. With modern compact-sized robots, there is a demand for further investigated computer-vision solutions that can perform effectively on them. A well-known deep learning model along this line of thought is the MobileNet-Ssd, an object detection model renowned for its resource-constrained usage. Available in popular frameworks like TensorFlow and PyTorch, this model can be of great use in deployments on robotic applications. This research attempts to investigate the MobileNet-Ssd model in order to evaluate its suitability for stand-alone object detection on a Raspberry Pi. To determine the effect of input size on the model, the model’s performance has been investigated with speed in frames-per-second across different input sizes on both CPU and GPU-powered devices. To evaluate the model’s effectiveness in the human following task, a Raspberry Pi-based robot was designed leveraging the tracking-by-detection approach with TensorFlow-Lite. Furthermore, the model’s performance was evaluated using PyTorch while the model’s inputs were adjusted, and the results were compared to those of other state-of-the-art models. The investigation revealed that, despite its modest speeds, the model outperforms other noteworthy models in PyTorch and is an ideal choice when working with Raspberry Pi using TensorFlow-Lite.
DOI: 10.15468/dl.vqq84r
title: Occurrence Download

description: A dataset containing 4094 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neomys anomalus Cabrera, 1907"
 ]
}

 The dataset includes 4094 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030749-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111319643
title: Cuneiform Tablet K

description: [Text Description:] Cuneiform Tablet K ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Clay tablet with cuneiform script
DOI: 10.25549/inscriptifact-ouc111299956
title: Sinai Syriac 30: Old Syriac Gospels, Sinai Syriac 30: Old Sinai Syriac Gospels; Syr s, Syrus Sinaiticus

description: [Text Description:] One of two copies of the old Syriac translation pre-dating the standard Syriac version. Includes a nearly complete text of Matthew, Mark, Luke and John. ❧ [Text or Publication Number Note:] Sinai Syriac 30: Old Sinai Syriac Gospels; Syr s ❧ [Medium:] Parchment ❧ [Script Note:] Syriac: Estrangela ❧ [Physical Object Description:] Palimpsest, with overtext written in Syriac, undertext in Syriac or Greek. Ink on overtext is black, ink on undertext has oxidized to faded brown. ❧ [Physical Object Note:] Many of the pages show some water damage. ❧ [Physical Object Note:] Back cover is still extant, shows evidence of roughly stitched repair. ❧
DOI: 10.15468/dl.qmk3cx
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "TaxonKey is Adenanthos macropodianus E.C.Nelson",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 203 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052973-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111360784
title: Persepolis Fortification Elamite Tablet 2012.104, Fort 2012.104

description: [Text Description:] Administrative text ❧ [Text or Publication Number Note:] Fort 2012.104 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on upper edge. ❧ [Physical Object Note:] Several fragments joined together. Lower right of original tablet broken off. Cracks and abrasions on obverse, reverse. ❧ [Physical Object Note:] Top left quadrant is Fort 2009.102; bottom left is Fort 2012.102; top right is Fort 2012.104.
DOI: 10.15468/dl.yg5qfh
title: Occurrence Download

description: A dataset containing 374 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Lianas of the Guianas (Part Suriname)"
 ]
}

 The dataset includes 374 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076048-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111297966
title: Syriac Incantation Bowl

description: [Text Description:] Incantation in Syriac ❧ [Medium:] Clay ❧ [Script Note:] Syriac ❧ [Physical Object Description:] Clay bowl rim fragment with ink text. ❧
DOI: 10.25549/inscriptifact-ouc111297967
title: Syriac Incantation Bowl

description: [Text Description:] Incantation in Syriac ❧ [Medium:] Clay ❧ [Script Note:] Syriac ❧ [Physical Object Description:] Clay bowl rim fragment with ink text. ❧
DOI: 10.15468/dl.vaedj7
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "TaxonKey is Polystichum falcinellum (Sw.) C.Presl",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 57 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003023-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111297953
title: Syriac Incantation Bowl

description: [Text Description:] Incantation in Syriac ❧ [Medium:] Clay ❧ [Script Note:] Syriac ❧ [Physical Object Description:] Clay bowl rim fragment with ink text. ❧
DOI: 10.25549/inscriptifact-ouc111297957
title: Syriac Incantation Bowl

description: [Text Description:] Incantation in Syriac ❧ [Medium:] Clay ❧ [Script Note:] Syriac ❧ [Physical Object Description:] Clay bowl rim fragment with ink text. ❧
DOI: 10.15468/dl.9sz67p
title: Occurrence Download

description: A dataset containing 1755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is ce3cfcc0-6d56-11db-a819-b8a03c50a862",
 "Month is August",
 "Year 1967-1967"
 ]
}

 The dataset includes 1755 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003026-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111318834
title: Cuneiform Tablet H

description: [Text Description:] Cuneiform Tablet H ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Clay tablet with cuneiform script
DOI: 10.15468/dl.y3jnwm
title: Occurrence Download

description: A dataset containing 1378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Carollia castanea H.Allen, 1890"
 ]
}

 The dataset includes 1378 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044784-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111299812
title: Sinai Syriac 30: Old Syriac Gospels, Sinai Syriac 30: Old Sinai Syriac Gospels; Syr s, Syrus Sinaiticus

description: [Text Description:] One of two copies of the old Syriac translation pre-dating the standard Syriac version. Includes a nearly complete text of Matthew, Mark, Luke and John. ❧ [Text or Publication Number Note:] Sinai Syriac 30: Old Sinai Syriac Gospels; Syr s ❧ [Medium:] Parchment ❧ [Script Note:] Syriac: Estrangela ❧ [Physical Object Description:] Palimpsest, with overtext written in Syriac, undertext in Syriac or Greek. Ink on overtext is black, ink on undertext has oxidized to faded brown. ❧ [Physical Object Note:] Many of the pages show some water damage. ❧ [Physical Object Note:] Back cover is still extant, shows evidence of roughly stitched repair. ❧
DOI: 10.25549/inscriptifact-ouc111299867
title: Sinai Syriac 30: Old Syriac Gospels, Sinai Syriac 30: Old Sinai Syriac Gospels; Syr s, Syrus Sinaiticus

description: [Text Description:] One of two copies of the old Syriac translation pre-dating the standard Syriac version. Includes a nearly complete text of Matthew, Mark, Luke and John. ❧ [Text or Publication Number Note:] Sinai Syriac 30: Old Sinai Syriac Gospels; Syr s ❧ [Medium:] Parchment ❧ [Script Note:] Syriac: Estrangela ❧ [Physical Object Description:] Palimpsest, with overtext written in Syriac, undertext in Syriac or Greek. Ink on overtext is black, ink on undertext has oxidized to faded brown. ❧ [Physical Object Note:] Many of the pages show some water damage. ❧ [Physical Object Note:] Back cover is still extant, shows evidence of roughly stitched repair. ❧
DOI: 10.15468/dl.awyasx
title: Occurrence Download

description: A dataset containing 548763 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saxifraga L."
 ]
}

 The dataset includes 548763 records from 823 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060504-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111318835
title: Cuneiform Tablet I

description: [Text Description:] Cuneiform Tablet I ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Clay tablet with cuneiform script
DOI: 10.15468/dl.du9q3f
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera uncia (Schreber, 1775)"
 ]
}

 The dataset includes 117 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052974-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111299814
title: Sinai Syriac 30: Old Syriac Gospels, Sinai Syriac 30: Old Sinai Syriac Gospels; Syr s, Syrus Sinaiticus

description: [Text Description:] One of two copies of the old Syriac translation pre-dating the standard Syriac version. Includes a nearly complete text of Matthew, Mark, Luke and John. ❧ [Text or Publication Number Note:] Sinai Syriac 30: Old Sinai Syriac Gospels; Syr s ❧ [Medium:] Parchment ❧ [Script Note:] Syriac: Estrangela ❧ [Physical Object Description:] Palimpsest, with overtext written in Syriac, undertext in Syriac or Greek. Ink on overtext is black, ink on undertext has oxidized to faded brown. ❧ [Physical Object Note:] Many of the pages show some water damage. ❧ [Physical Object Note:] Back cover is still extant, shows evidence of roughly stitched repair. ❧
DOI: 10.25549/inscriptifact-ouc111300077
title: Sinai Syriac 30: Old Syriac Gospels, Sinai Syriac 30: Old Sinai Syriac Gospels; Syr s, Syrus Sinaiticus

description: [Text Description:] One of two copies of the old Syriac translation pre-dating the standard Syriac version. Includes a nearly complete text of Matthew, Mark, Luke and John. ❧ [Text or Publication Number Note:] Sinai Syriac 30: Old Sinai Syriac Gospels; Syr s ❧ [Medium:] Parchment ❧ [Script Note:] Syriac: Estrangela ❧ [Physical Object Description:] Palimpsest, with overtext written in Syriac, undertext in Syriac or Greek. Ink on overtext is black, ink on undertext has oxidized to faded brown. ❧ [Physical Object Note:] Many of the pages show some water damage. ❧ [Physical Object Note:] Back cover is still extant, shows evidence of roughly stitched repair. ❧
DOI: 10.15468/dl.16y4il
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mycteroperca xenarcha Jordan, 1888"
 ]
}

 The dataset includes 59 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002470-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111319665
title: Cuneiform Tablet K

description: [Text Description:] Cuneiform Tablet K ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Clay tablet with cuneiform script
DOI: 10.15468/dl.7grmf8
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-80.68359 -57.51582,-62.05078 -57.51582,-62.05078 -22.59373,-80.68359 -22.59373,-80.68359 -57.51582))",
 "HasCoordinate is true",
 "TaxonKey is Bombus terrestris (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 201 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072091-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111319929
title: Cuneiform Tablet 000224, CUN.000224

description: [Text Description:] Cuneiform Tablet, Administrative Tag, with Seal Impressions 000224 ❧ [Text or Publication Number Note:] CUN.000224 ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Clay tablet with cuneiform script, roughly triangular In shape.
DOI: 10.25549/inscriptifact-ouc111300111
title: Sinai Syriac 30: Old Syriac Gospels, Sinai Syriac 30: Old Sinai Syriac Gospels; Syr s, Syrus Sinaiticus

description: [Text Description:] One of two copies of the old Syriac translation pre-dating the standard Syriac version. Includes a nearly complete text of Matthew, Mark, Luke and John. ❧ [Text or Publication Number Note:] Sinai Syriac 30: Old Sinai Syriac Gospels; Syr s ❧ [Medium:] Parchment ❧ [Script Note:] Syriac: Estrangela ❧ [Physical Object Description:] Palimpsest, with overtext written in Syriac, undertext in Syriac or Greek. Ink on overtext is black, ink on undertext has oxidized to faded brown. ❧ [Physical Object Note:] Many of the pages show some water damage. ❧ [Physical Object Note:] Back cover is still extant, shows evidence of roughly stitched repair. ❧
DOI: 10.15468/dl.qdx7k5
title: Occurrence Download

description: A dataset containing 539399 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agrostis capillaris L."
 ]
}

 The dataset includes 539399 records from 735 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052977-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3rmftz
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Deutzia rubens"
 ]
}

 The dataset includes 101 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060854-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.