cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28387101
title: Aided Augmentative and Alternative Communication (AAC) interventions in India: A scoping review and quality appraisal

description: The current scoping review aims to map the existing research on aided augmentative and alternative communication (AAC) interventions in India, identify the gaps in the existing literature, and guide future research priorities. A comprehensive search between 1992 and 2022 yielded 39 studies that met the inclusion criteria. Studies were summarized in terms of publication details, treatment settings and geographical distribution, participant characteristics, study purpose, research design, dependent variables, outcome measures, independent variables, study findings, and quality appraisal. A relatively large proportion of studies originated from the southern part of India. A considerable increase was noted in the number of intervention studies published over the last decade. Most of the intervention studies followed a quasi-experimental or a case study design and focused on investigating the effect of training on an AAC system on the performance of individuals with communication disorders. Largely, all studies reported positive effects of AAC intervention; however, based on the quality appraisal, only a handful of studies adhered to high standards. Hence, to elevate the quality of AAC intervention research in India, it is imperative to employ robust methodologies in future studies.
DOI: 10.6084/m9.figshare.28387101.v1
title: Aided Augmentative and Alternative Communication (AAC) interventions in India: A scoping review and quality appraisal

description: The current scoping review aims to map the existing research on aided augmentative and alternative communication (AAC) interventions in India, identify the gaps in the existing literature, and guide future research priorities. A comprehensive search between 1992 and 2022 yielded 39 studies that met the inclusion criteria. Studies were summarized in terms of publication details, treatment settings and geographical distribution, participant characteristics, study purpose, research design, dependent variables, outcome measures, independent variables, study findings, and quality appraisal. A relatively large proportion of studies originated from the southern part of India. A considerable increase was noted in the number of intervention studies published over the last decade. Most of the intervention studies followed a quasi-experimental or a case study design and focused on investigating the effect of training on an AAC system on the performance of individuals with communication disorders. Largely, all studies reported positive effects of AAC intervention; however, based on the quality appraisal, only a handful of studies adhered to high standards. Hence, to elevate the quality of AAC intervention research in India, it is imperative to employ robust methodologies in future studies.
DOI: 10.15468/dl.76xqew
title: Occurrence Download

description: A dataset containing 613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (ARG, CHL, PRY, URY, FLK, BRA.21_1, BRA.16_1, BRA.24_1)",
 "TaxonKey is Fitzroya cupressoides (Molina) I.M.Johnst."
 ]
}

 The dataset includes 613 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026579-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2h8hs
title: Occurrence Download

description: A dataset containing 12569 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "Geometry POLYGON((-75.94947 -11.74403,-75.35987 -11.74403,-75.35987 -11.18529,-75.94947 -11.18529,-75.94947 -11.74403))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 12569 records from 197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026576-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28561544
title: Speech-language pathologists’ perspectives on augmentative and alternative communication assessment and intervention across language domains: A crosslinguistic replication study

description: The objective of this replication study was to compare the perspectives of Hebrew-speaking speech-language pathologists (SLPs) on augmentative and alternative communication (AAC) assessment and intervention in each of the five language domains (semantics, pragmatics, phonology, morphology, and syntax) with those previously reported for English-speaking SLPs. Specifically, the comparison aimed to understand AAC service delivery patterns in different linguistic contexts. Using an anonymous online survey, the study collected responses from 167 Hebrew-speaking SLPs regarding preprofessional training, clinical practices, resource adequacy and continuing education interests related to AAC assessment and intervention in each language domain. Global agreement was found among Hebrew-speaking and those previously reported for English-speaking SLPs on the importance of all language domains for people who use AAC (PWUAAC) and their interest in professional development. In ratings of preprofessional training, clinical practice, and resource adequacy, pragmatics and semantics had consistently higher percentages of positive responses in both groups, followed by syntax, while morphology and phonology received fewest. Fewer Hebrew-speaking as compared to English-speaking SLPs rated morphology/phonology skills as important for PWUAAC and reported providing clinical services in each language domain. However, more Hebrew-speaking SLPs rated their resources and preprofessional training as adequate in semantics, pragmatics, syntax, and phonology. These findings suggest that while shared AAC service delivery patterns exist in different linguistic contexts (e.g., Hebrew, English) across language domains, there is a need for development and validation of language-specific (e.g., Hebrew) resources, particularly in morphology and phonology. Factors influencing clinical decision-making, including client age, preferences, disabilities, and resource availability, are also discussed.
DOI: 10.6084/m9.figshare.28561544.v1
title: Speech-language pathologists’ perspectives on augmentative and alternative communication assessment and intervention across language domains: A crosslinguistic replication study

description: The objective of this replication study was to compare the perspectives of Hebrew-speaking speech-language pathologists (SLPs) on augmentative and alternative communication (AAC) assessment and intervention in each of the five language domains (semantics, pragmatics, phonology, morphology, and syntax) with those previously reported for English-speaking SLPs. Specifically, the comparison aimed to understand AAC service delivery patterns in different linguistic contexts. Using an anonymous online survey, the study collected responses from 167 Hebrew-speaking SLPs regarding preprofessional training, clinical practices, resource adequacy and continuing education interests related to AAC assessment and intervention in each language domain. Global agreement was found among Hebrew-speaking and those previously reported for English-speaking SLPs on the importance of all language domains for people who use AAC (PWUAAC) and their interest in professional development. In ratings of preprofessional training, clinical practice, and resource adequacy, pragmatics and semantics had consistently higher percentages of positive responses in both groups, followed by syntax, while morphology and phonology received fewest. Fewer Hebrew-speaking as compared to English-speaking SLPs rated morphology/phonology skills as important for PWUAAC and reported providing clinical services in each language domain. However, more Hebrew-speaking SLPs rated their resources and preprofessional training as adequate in semantics, pragmatics, syntax, and phonology. These findings suggest that while shared AAC service delivery patterns exist in different linguistic contexts (e.g., Hebrew, English) across language domains, there is a need for development and validation of language-specific (e.g., Hebrew) resources, particularly in morphology and phonology. Factors influencing clinical decision-making, including client age, preferences, disabilities, and resource availability, are also discussed.
DOI: 10.21233/5vzr-yh26
title: Wenquan wetland pollen dataset

description: Raw data for the Wenquan wetland pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.k4j2nn
title: Occurrence Download

description: A dataset containing 1021 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa bracteata J.C.Wendl."
 ]
}

 The dataset includes 1021 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026578-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/c4f6-9236
title: LDDsite2706 ostracode surface sample dataset

description: Raw data for the LDDsite2706 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.7274/28786151
title: Polymer Informatics for Energy Applications

description: Polymers play a critical role in advancing energy technologies due to their unique properties and broad applicability in mass and energy transport, particularly in gas separation and thermal management. This thesis presents advancements in polymer informatics that integrate computational simulations, predictive machine learning (ML), and generative design to accelerate the discovery of high-performance polymers for energy applications.

We first introduce a graph-augmented, imbalanced ML framework for predicting polymer gas permeability and identifying promising polymers that surpass conventional performance limits. We then extend this approach to ladder polymers—materials with superior separation performance but limited prior exploration—by developing PolyLand, an ML-powered platform that combines predictive modeling and three generative strategies: template-based design, graph diffusion transformers, and optimization-aware large language models. The selected ladder-like candidates are validated via molecular simulations and structure-property analysis.

Shifting focus to thermal transport, we explore polymer blends using high-throughput molecular dynamics simulations coupled with an active learning framework. This work reveals how inter- and intra-molecular interactions influence thermal conductivity, identifying blends with improved performance.

To support broader discovery efforts, we introduce POINT², a benchmark suite combining predictive accuracy, uncertainty quantification, interpretability, and synthesizability. POINT² features diverse ML models and representations trained on labeled datasets across multiple polymer properties, including density, glass transition temperature, melting temperature, fractional free volumn, gas permeability, and thermal conductivity.

Together, these contributions demonstrate how data-driven methods can accelerate polymer discovery, enabling more efficient and targeted design of materials for energy-related applications.
DOI: 10.7274/28786151.v1
title: Polymer Informatics for Energy Applications

description: Polymers play a critical role in advancing energy technologies due to their unique properties and broad applicability in mass and energy transport, particularly in gas separation and thermal management. This thesis presents advancements in polymer informatics that integrate computational simulations, predictive machine learning (ML), and generative design to accelerate the discovery of high-performance polymers for energy applications.

We first introduce a graph-augmented, imbalanced ML framework for predicting polymer gas permeability and identifying promising polymers that surpass conventional performance limits. We then extend this approach to ladder polymers—materials with superior separation performance but limited prior exploration—by developing PolyLand, an ML-powered platform that combines predictive modeling and three generative strategies: template-based design, graph diffusion transformers, and optimization-aware large language models. The selected ladder-like candidates are validated via molecular simulations and structure-property analysis.

Shifting focus to thermal transport, we explore polymer blends using high-throughput molecular dynamics simulations coupled with an active learning framework. This work reveals how inter- and intra-molecular interactions influence thermal conductivity, identifying blends with improved performance.

To support broader discovery efforts, we introduce POINT², a benchmark suite combining predictive accuracy, uncertainty quantification, interpretability, and synthesizability. POINT² features diverse ML models and representations trained on labeled datasets across multiple polymer properties, including density, glass transition temperature, melting temperature, fractional free volumn, gas permeability, and thermal conductivity.

Together, these contributions demonstrate how data-driven methods can accelerate polymer discovery, enabling more efficient and targeted design of materials for energy-related applications.
DOI: 10.15468/dl.g42sgx
title: Occurrence Download

description: A dataset containing 1342 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa ×alba L."
 ]
}

 The dataset includes 1342 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026577-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/d4ba-4149
title: Jaguar Cave [Wolf River Cave] vertebrate fauna dataset

description: Raw data for the Jaguar Cave [Wolf River Cave] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15389256
title: High-throughput sequencing and protein sequencing of HPV-positive and HPV-negative laryngeal cancer
DOI: 10.5281/zenodo.15389257
title: High-throughput sequencing and protein sequencing of HPV-positive and HPV-negative laryngeal cancer
DOI: 10.15468/dl.7h4bpv
title: Occurrence Download

description: A dataset listing the 2348 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Chile, Argentina)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset's 2348 records were derived from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026572-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/sne1-v394
title: Choate Ranch [UALP 6913] vertebrate fauna dataset

description: Raw data for the Choate Ranch [UALP 6913] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/k3xh-vr89
title: Bakchar mire testate amoebae surface sample dataset

description: Raw data for the Bakchar mire testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/2htj-1p70
title: Warner Lake water chemistry dataset

description: Raw data for the Warner Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.jjd66a
title: Occurrence Download

description: A dataset containing 2018 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Ground Census Data for Lake Nakuru and Nairobi National Parks"
 ]
}

 The dataset includes 2018 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026581-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/j0sm-9z75
title: Stoyanov 2 pollen dataset

description: Raw data for the Stoyanov 2 pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/fhxr-x596
title: Makepeace Cedar Swamp pollen dataset

description: Raw data for the Makepeace Cedar Swamp pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.7274/28781906
title: Development of Functionalized Polymer of Intrinsic Microporosity Membrane with Reversible Preferential Interaction for Olefin-Paraffin Separation

description: Olefin-paraffin separation had faced challenges due to the similarities in its physical properties. The petroleum and natural gas industry relies on thermal energy intensive process to achieve sufficient separation performance. It is estimated that membrane gas separation can reduce energy consumption by up to 90%. 
Current research direction in membrane development for olefin-paraffin separation focus on the use of additives to enhance the preferential interaction with olefin species. For example, silver ion has been one the material of interest due to its unique electron orbital overlap with olefin p-bonds. However, silver ion faces challenges such as life time stability and deactivation under reductive conditions. 
To overcome these challenges, the author proposed the development of functionalized PIM-membranes with preferential and reversible interaction with olefin gas species. The author had identified two possible routes for performance enhancement: incorporating silver nanoclusters and the addition of functional group on PIM-1 backbone.
Silver nanoclusters were a material of interest due to its unique properties of being thermodynamically stable and exhibiting molecule-like properties. The initial investigation of Ag44 nanoclusters to be shelf stable and also stable under the exposure to hydrogen gas. However, Ag44 nanoclusters were incompatible to PIM-1 and PIM-NH2 polymers. At the same time, further investigation of PIM-NH2 membrane revealed that it exhibits preferential interaction with olefins. 
A thorough analysis of hydrogen bonding-inducing functional groups, such as NH2 and COOH, in PIM-type polymers and its effect on propylene/propane separation was examined. It was shown that PIM-1 type polymer containing hydrogen-bonding has denser polymer packing and overall lower permeability. On the other hand, the hydrogen bonding donor groups exhibit preferential interaction towards the p-bond in olefine due to a specific type of weak hydrogen bonding force. Furthermore, PIM-NH2 demonstrates an interesting aging pattern, where the selectivity was more intensively affected. 
Aging mitigation method of PIM-NH2 focus on the development of controlled crosslinking using esterification of COOH groups. The results showed successful aging mitigation, as crosslinked PIM-NH2 was able to retain detectable permeability after 1 month of aging. At the same time, variables such as COOH concentration and linker type were altered to optimize the mitigation results.
DOI: 10.7274/28781906.v1
title: Development of Functionalized Polymer of Intrinsic Microporosity Membrane with Reversible Preferential Interaction for Olefin-Paraffin Separation

description: Olefin-paraffin separation had faced challenges due to the similarities in its physical properties. The petroleum and natural gas industry relies on thermal energy intensive process to achieve sufficient separation performance. It is estimated that membrane gas separation can reduce energy consumption by up to 90%. 
Current research direction in membrane development for olefin-paraffin separation focus on the use of additives to enhance the preferential interaction with olefin species. For example, silver ion has been one the material of interest due to its unique electron orbital overlap with olefin p-bonds. However, silver ion faces challenges such as life time stability and deactivation under reductive conditions. 
To overcome these challenges, the author proposed the development of functionalized PIM-membranes with preferential and reversible interaction with olefin gas species. The author had identified two possible routes for performance enhancement: incorporating silver nanoclusters and the addition of functional group on PIM-1 backbone.
Silver nanoclusters were a material of interest due to its unique properties of being thermodynamically stable and exhibiting molecule-like properties. The initial investigation of Ag44 nanoclusters to be shelf stable and also stable under the exposure to hydrogen gas. However, Ag44 nanoclusters were incompatible to PIM-1 and PIM-NH2 polymers. At the same time, further investigation of PIM-NH2 membrane revealed that it exhibits preferential interaction with olefins. 
A thorough analysis of hydrogen bonding-inducing functional groups, such as NH2 and COOH, in PIM-type polymers and its effect on propylene/propane separation was examined. It was shown that PIM-1 type polymer containing hydrogen-bonding has denser polymer packing and overall lower permeability. On the other hand, the hydrogen bonding donor groups exhibit preferential interaction towards the p-bond in olefine due to a specific type of weak hydrogen bonding force. Furthermore, PIM-NH2 demonstrates an interesting aging pattern, where the selectivity was more intensively affected. 
Aging mitigation method of PIM-NH2 focus on the development of controlled crosslinking using esterification of COOH groups. The results showed successful aging mitigation, as crosslinked PIM-NH2 was able to retain detectable permeability after 1 month of aging. At the same time, variables such as COOH concentration and linker type were altered to optimize the mitigation results.