cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zs8kjx
title: Occurrence Download

description: A dataset containing 6679 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acacia caven (Molina) Molina, Aextoxicon punctatum Ruiz & Pav., Amomyrtus luma (Molina) D.Legrand & Kausel, Amomyrtus meli (Phil.) D.Legrand & Kausel, Araucaria araucana (Molina) K.Koch, Aristotelia chilensis (Molina) Stuntz, Austrocedrus chilensis (D.Don) Pic.Serm. & Bizzarri, Azara integrifolia Ruiz & Pav., Azara lanceolata Hook.fil., Azara microphylla Hook.fil.)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 6679 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008135-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gyk25p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Troglodytes troglodytes (Linnaeus, 1758)",
 "Year is 50",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008136-241107131044228/datasets/export for details.
DOI: 10.15139/s3/fhegta
title: Cities Climate Action Report Card (CCARC) 2024 - City Data Collection and Evaluation Workbooks

description: This dataset includes the data collection and evaluation workbooks for each of the 12 focus cities included in the CCARC report.
DOI: 10.6084/m9.figshare.27653853
title: QR Code Dataset

description: This dataset consists of 2 folders. The first folder(Unreadable Scanned QR Codes) contains images obtained from the scanner that cannot be read with OpenCV, and the second folder(Learning Data) contains computer-generated QR code images created by simulating the scanner. The "Data.csv" file exists the data of QR Codes.
DOI: 10.15468/dl.mvddb8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dendrocopos major (Linnaeus, 1758)",
 "Year is 50",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008138-241107131044228/datasets/export for details.
DOI: 10.15468/dl.6qp6gn
title: Occurrence Download

description: A dataset containing 1270 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "LifeStage is Adult",
 "Month is one of (June, July, August)",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Lycosidae"
 ]
}

 The dataset includes 1270 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008137-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rqgkt5
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is GBR.1.38_1",
 "TaxonKey is Psilocybe semilanceata (Fr.) P.Kumm."
 ]
}

 The dataset includes 66 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008139-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25810/b3hq-q914
title: FIRED Aland Nov 2000 - July 2024

description: This is event-level polygons for the fire event delineation (FIRED) product for ALAND from November 2000  to July 2024. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v061/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (https://github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 1 pixels and 5 days. Daily polygons are included and the event identification numbers are the same for both files, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
DOI: 10.25934/pr00009390
title: Musculoskeletal Symptoms in Hidradenitis Suppurativa

description: Hidradenitis Suppurative (HS) is a painful, chronic skin disease that is characterized by the formation of skin abscesses and scarring at areas of friction such as the armpits and groin. It is estimated that approximately 1 in 100 U.S. patients are affected by HS. Researchers now believe that there may be an association between having HS and developing musculoskeletal (MSK) symptoms, such as joint pain and arthritis caused by excess inflammation. However, MSK symptoms are not specifically routinely measured in the conduct of clinical trials for inflammatory skin conditions such as HS, thus understanding of this potential aspect of disease is poorly understood.
The International Dermatology Outcome Measures group (IDEOM) has an MSK symptoms workgroup which is focused on the measurement of MSK symptoms in the conduct clinical trials in inflammatory skin conditions such as HS. This group has hypothesized that some outcome measures that are already being used in a majority of clinical trials might in fact have a component that captures improvement of MSK symptoms during intervention. We would like to conduct sub-analysis of clinical trial results to better-understand the potential impact of MSK symptoms on HS patients, which may allow us to eventually design instruments that better-capture effects of treatment on disease burden for patients with HS. This in turn may help us to develop more patient-centered therapies for HS. 
Several HS clinical trials have been conducted to study the effectiveness of adalimumab, a drug targeting a protein thought to cause excessive inflammation in HS. Our research plan is to look at the number of patients who score highly on MSK-related questions from the outcome measure instrument, 36-item Short Form Health Survey (SF-36), who do and don’t receive treatment with adalimumab in HS clinical trials. We will perform statistical analysis to see if HS patients rate their MSK symptoms higher than the general population, and whether or not treatment with adalimumab affects their MSK symptoms score. We will also perform analysis to see whether patients reporting improvement in their MSK symptoms show more improvement in their health-related quality of life scores compared to patients who only report improvement in skin symptoms. We have selected this cost-efficient research method because it may allow us to improve our understanding of the disease by using already-generated high-quality data.
DOI: 10.15468/dl.4bdxbg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apus apus (Linnaeus, 1758)",
 "Year is 50",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008140-241107131044228/datasets/export for details.
DOI: 10.15468/dl.dym5ve
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haematopus ostralegus Linnaeus, 1758",
 "Year is 50",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008141-241107131044228/datasets/export for details.
DOI: 10.15468/dl.cx5yhp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vanessa atalanta (Linnaeus, 1758)",
 "Year is 50",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008143-241107131044228/datasets/export for details.
DOI: 10.25345/c5h12vk64
title: MassIVE MSV000096378 - Developing Cell Quenching Method to Facilitate Single Cell Mass Spectrometry Metabolomics Studies
title: The method presented in this study is compatible with current SCMS techniques, ensuring that the storage procedures remain unchanged, thus enabling extended SCMS research. This approach involves washing cells with a non-volatile salt solution, quickly quenching them in liquid nitrogen, freeze-drying in a vacuum, and storing them at -80C. These processes are aimed at effectively preserving cellular metabolites for SCMS analysis, thereby supporting comprehensive investigations in this field.
DOI: 10.7274/25575057
title: MBE-Grown Two-Dimensional Transition Metal Dichalcogenides for Magnetic and Optical Applications

description: Two-dimensional transition metal dichalcogenides (2D TMDs) are a class of van der Waals (vdW) materials that have gained significant popularity in recent years due to their unique structural, optical, and electronic properties that are very relevant for applications like ultra-scaled transistors, magnetic memories, light absorbers, and monolithic 3D integrated devices. This research focuses on exploring the potential of 2D TMDs through molecular beam epitaxy (MBE) synthesis, targeting two specific applications: (1) magnetic impurity doped monolayers to create above-room-temperature ferromagnets, and (2) TMD based heterostructures for near-unity light absorbers.
Guided by theoretical support, the first part of this research investigates substitutional doping of magnetic impurities in monolayer TMDs to create above room temperature 2D ferromagnets. Through careful selection of the substrates, optimization of the flux ratios of the source materials and using smart growth strategies, up to 35% doping of iron and vanadium in a monolayer of tungsten diselenide (WSe2) has been demonstrated and the resulting physical, chemical, and magnetic properties of the films have been studied. It has been found that these single-phase monolayers with minimal point defects show no ferromagnetism. The suppression of the theoretically predicted ferromagnetic order is due to clustering of the dopants which has been observed and quantified from transmission electron microscopy (TEM). Room-temperature ferromagnetism is observed when these doped monolayers contain a significant concentration of selenium vacancies (Sevac). These vacancies were intentionally created via a post-growth annealing process, and magnetism was seen to scale with heating time/vacancy concentration. Interestingly, even undoped WSe2 showed similar ferromagnetism for Sevac &gt; 1E14 cm-2. These findings address the inconsistencies in the existing research on 2D ferromagnets and explain how ferromagnetism arises in TMD monolayers.
The second part of this research is focused on MBE-grown TMD heterostructures to achieve near-perfect light absorption (NPLA) for optoelectronics and special-purpose defense applications. Different from previous approaches that rely on patterned meta-surfaces or plasmonic structures, our much simpler approach takes advantage of the strong band nesting in TMDs to harness NPLA without requiring any complex lithography or surface engineering. It has been shown that inserting a buffer layer in-between a bilayer TMD can be a feasible route to reduce the strong interlayer coupling that exists between the 2D layers and deteriorates its absorption response. By utilizing the digital thickness control capability of MBE, a variety of TMD/buffer layer/TMD tri-layer heterostructures were grown and later integrated with an optical cavity to demonstrate near the theoretically maximum light absorption in an active material just three atomic layers thin.
DOI: 10.7274/25575057.v1
title: MBE-Grown Two-Dimensional Transition Metal Dichalcogenides for Magnetic and Optical Applications

description: Two-dimensional transition metal dichalcogenides (2D TMDs) are a class of van der Waals (vdW) materials that have gained significant popularity in recent years due to their unique structural, optical, and electronic properties that are very relevant for applications like ultra-scaled transistors, magnetic memories, light absorbers, and monolithic 3D integrated devices. This research focuses on exploring the potential of 2D TMDs through molecular beam epitaxy (MBE) synthesis, targeting two specific applications: (1) magnetic impurity doped monolayers to create above-room-temperature ferromagnets, and (2) TMD based heterostructures for near-unity light absorbers.
Guided by theoretical support, the first part of this research investigates substitutional doping of magnetic impurities in monolayer TMDs to create above room temperature 2D ferromagnets. Through careful selection of the substrates, optimization of the flux ratios of the source materials and using smart growth strategies, up to 35% doping of iron and vanadium in a monolayer of tungsten diselenide (WSe2) has been demonstrated and the resulting physical, chemical, and magnetic properties of the films have been studied. It has been found that these single-phase monolayers with minimal point defects show no ferromagnetism. The suppression of the theoretically predicted ferromagnetic order is due to clustering of the dopants which has been observed and quantified from transmission electron microscopy (TEM). Room-temperature ferromagnetism is observed when these doped monolayers contain a significant concentration of selenium vacancies (Sevac). These vacancies were intentionally created via a post-growth annealing process, and magnetism was seen to scale with heating time/vacancy concentration. Interestingly, even undoped WSe2 showed similar ferromagnetism for Sevac &gt; 1E14 cm-2. These findings address the inconsistencies in the existing research on 2D ferromagnets and explain how ferromagnetism arises in TMD monolayers.
The second part of this research is focused on MBE-grown TMD heterostructures to achieve near-perfect light absorption (NPLA) for optoelectronics and special-purpose defense applications. Different from previous approaches that rely on patterned meta-surfaces or plasmonic structures, our much simpler approach takes advantage of the strong band nesting in TMDs to harness NPLA without requiring any complex lithography or surface engineering. It has been shown that inserting a buffer layer in-between a bilayer TMD can be a feasible route to reduce the strong interlayer coupling that exists between the 2D layers and deteriorates its absorption response. By utilizing the digital thickness control capability of MBE, a variety of TMD/buffer layer/TMD tri-layer heterostructures were grown and later integrated with an optical cavity to demonstrate near the theoretically maximum light absorption in an active material just three atomic layers thin.
DOI: 10.7274/26046982
title: Hausdorff Moment Transforms and Their Applications to Wireless Networks

description: In the analysis of wireless networks, the standard signal-to-interference (SIR) distribution does not capture the performance at the individual link level. The meta distribution (MD) of the SIR resolves this problem by separating different sources of randomness, such as fading and point process(es). While it allows for a much sharper performance characterization, it can in most cases only be calculated based on the moments of the underlying conditional distribution, i.e., by solving a Hausdorff moment problem. Several methods to reconstruct MDs from the moments have been proposed but a rigorous analysis, comparison of their performance, and practical implementations are missing. 
 
This dissertation focuses on three parts: the reconstruction of MDs, the fundamental problem behind it, i.e., the truncated Hausdorff moment problem, and the sensitivity issues related to the moments subject to perturbations. As for the truncated Hausdorff moment problem, we establish a method of comparison for the performance of the approximations. Three ways of producing random moment sequences are discussed and applied. Also, some of the approximations have been rewritten as linear transforms and detailed accuracy requirements are analyzed. Our finding shows that the performance of the approximations differ significantly in their convergence properties, accuracy, and numerical complexity, and that the decay type of the moment sequence strongly affects the accuracy requirement. As for the reconstruction of MDs, we introduces a tweaking mapping for adjusting approximations, presents terminology to categorize the quality of approximations, proposes the use of the Fourier-Legendre method, which has not previously been applied to MDs, and provides the achievable lower and upper bounds on the MD given the first $n$ moments. Further, to facilitate the use of MDs, we give comprehensive guidance on the selection of the best method to determine MDs, and we offer ready-to-use implementations of the proposed algorithms. This study fills an important gap in the literature by rigorously analyzing the MDs, comparing the performance of different methods, and offering user-friendly implementations for recovering MDs from moments. As for the sensitivity issues, we explore the reliability and robustness of these techniques. We analyze the sensitivity of commonly used MD reconstruction methods in the presence of perturbations to moments and provide valuable guidelines for the application of these methods. Furthermore, we quantify the impact of inaccurate moments on MD reconstructions, examining the validity of perturbed moment sequences and demonstrating the critical importance of moment accuracy. Our investigation demonstrates the necessity for precise moment computation. Succinctly put, moment quality is preferred over moment quantity.
DOI: 10.7274/26046982.v1
title: Hausdorff Moment Transforms and Their Applications to Wireless Networks

description: In the analysis of wireless networks, the standard signal-to-interference (SIR) distribution does not capture the performance at the individual link level. The meta distribution (MD) of the SIR resolves this problem by separating different sources of randomness, such as fading and point process(es). While it allows for a much sharper performance characterization, it can in most cases only be calculated based on the moments of the underlying conditional distribution, i.e., by solving a Hausdorff moment problem. Several methods to reconstruct MDs from the moments have been proposed but a rigorous analysis, comparison of their performance, and practical implementations are missing. 
 
This dissertation focuses on three parts: the reconstruction of MDs, the fundamental problem behind it, i.e., the truncated Hausdorff moment problem, and the sensitivity issues related to the moments subject to perturbations. As for the truncated Hausdorff moment problem, we establish a method of comparison for the performance of the approximations. Three ways of producing random moment sequences are discussed and applied. Also, some of the approximations have been rewritten as linear transforms and detailed accuracy requirements are analyzed. Our finding shows that the performance of the approximations differ significantly in their convergence properties, accuracy, and numerical complexity, and that the decay type of the moment sequence strongly affects the accuracy requirement. As for the reconstruction of MDs, we introduces a tweaking mapping for adjusting approximations, presents terminology to categorize the quality of approximations, proposes the use of the Fourier-Legendre method, which has not previously been applied to MDs, and provides the achievable lower and upper bounds on the MD given the first $n$ moments. Further, to facilitate the use of MDs, we give comprehensive guidance on the selection of the best method to determine MDs, and we offer ready-to-use implementations of the proposed algorithms. This study fills an important gap in the literature by rigorously analyzing the MDs, comparing the performance of different methods, and offering user-friendly implementations for recovering MDs from moments. As for the sensitivity issues, we explore the reliability and robustness of these techniques. We analyze the sensitivity of commonly used MD reconstruction methods in the presence of perturbations to moments and provide valuable guidelines for the application of these methods. Furthermore, we quantify the impact of inaccurate moments on MD reconstructions, examining the validity of perturbed moment sequences and demonstrating the critical importance of moment accuracy. Our investigation demonstrates the necessity for precise moment computation. Succinctly put, moment quality is preferred over moment quantity.
DOI: 10.7274/26211128
title: Wide-angle Beamscanning Gradient Index Lens Antennas for Wireless Communications

description: The trend in wireless communication is moving towards higher frequencies, offering increased data rates and broader spectrum availability. However, these benefits come with the challenge of higher path loss, necessitating antenna systems with highly directional beams. Consequently, antennas require high gain, greater than 20 dBi, but with narrow beamwidths, making beam scanning capabilities essential to cover wide fields-of-view, exceeding ±50°. Additionally, a broad operational bandwidth ($&gt;$50\%) is preferred to support various applications.

This dissertation aims to design a high-gain antenna with wide-angle beam scanning across a broadband. Considering the need for massive deployment, the proposed antenna should also be low-cost and energy-efficient. Gradient Refractive Index (GRIN) antennas present a promising solution, meeting performance and constraint requirements. However, improvement in beam scanning range and scan loss is needed.

To address these challenges, this dissertation introduces a novel lens impedance matching structure and a lens ray tracing simulation technique. Both designs then enable two types of beam scanning lenses. By reformulating taper theory, the impedance matching tapers achieve broadband matching from 8 to 78 GHz with a uniform physical layer length. The ray tracing solver incorporates the complex electrical field, allowing evaluation of lens radiation patterns within a minute for lenses with arbitrary shapes and permittivity profiles.

Using these tools, a 3D compound lens was designed with a fast hybrid optimization workflow involving three solvers, conducting over 50,000 simulations in four days. The resulting lens design achieves an average scan loss exponent of $n_s = 2.17$ within ±55° across the Ka-Band. Additionally, a proposed phased array fed lens (PAFL) demonstrates improved beam scanning capabilities by using a small number of feeds with nonuniform amplitude and phase excitation. Two PAFL designs were developed: one with a 0.7$\lambda$ spacing feed array, requiring around half the feeds compared to the standard 0.7$\lambda$ spacing, which reduces cost and power consumption while improving $n_s$ from 5 to 3.6 at 29 GHz, and another with a broadband feed array that achieves beam scanning improvements from 15 GHz to 50 GHz.