cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15078676
title: Path Loss Evaluation for RIS-Aware Mobile Systems

description: Overview

The following dataset presents the Path Loss (PL) characteristics for 5G/6G mobile systems supported by Reconfigurable Intelligent Surfaces (RIS).

Scenario

The considered network scenario includes 8 three-cell Base Stations (BSs) placed within Poznan city (surroundings of the Old Market) and supported by 15 Reconfigurable Intelligent Surfaces, which are able to reflect and manipulate a radio signal to influence occurrences such as interferences, coverage, or human exposure. The locations of RIS devices have been selected by the project members referring to the empty areas, where the impact of RISs on PL distribution could be crucial. Next, the suspension heights of the RISs have been manipulated to evaluate the possible improvement of radio signal propagation within the studied area.

Methodology

The PL calculations have been based on the mathematical formulas from the scientific literature (RIS Far-Field Beamforming Case - RIS-FFBC, Source: References section [1]) and reports (Urban Macro-Cell - UMa, Source: References section [2]) performed within the digital simulation runs by using the Green Radio Access Network Design (GRAND) tool (developed by teams from the Ghent University & Poznan University of Technology).

Simulation setup

The setup of the input parameters for used mathematical formulas (PL distribution models) has been done in accordance with the values attached within the delivered literature positions (cited within the Methodology description and the publications included in the Related works section of the following dataset) and adjusted to the considered study. Furthermore, the data used to model the network environment (building distribution, coverage area, base stations' locations) are the real data collected by the City Hall of Poznan and one of the Polish Mobile Operators, respectively.

Results

The results of the aforementioned investigations have been included in the attached files, which can be described as follows:

The first 2 columns denote the X and Y coordinates for the measurement points, for which the Path Loss values (via LOS, NLOS, or RIS) have been obtained. The third column presents the observed minimal PL value for a particular measurement point. The study has been performed for 5 different configurations - RIS disabled (_results_wmas_no_ris.csv), RIS enabled placed at default heights (_results_wmas_ris_0m.csv), RIS enabled and placed at heights differing from the initial (default) heights about 10 (_results_wmas_ris_10m.csv), 20 (_results_wmas_ris_20m.csv), and 30 (_results_wmas_ris_30m.csv) meters. 

Acknowledgment

More details about the conducted studies have been described within the attached papers (Related works section). The work (including the following dataset preparation) by A. Samorzewski and A. Kliks was realized within project no. 2021/43/B/ST7/01365 funded by the National Science Center in Poland.
DOI: 10.5281/zenodo.15078677
title: Path Loss Evaluation for RIS-Aware Mobile Systems

description: Overview

The following dataset presents the Path Loss (PL) characteristics for 5G/6G mobile systems supported by Reconfigurable Intelligent Surfaces (RIS).

Scenario

The considered network scenario includes 8 three-cell Base Stations (BSs) placed within Poznan city (surroundings of the Old Market) and supported by 15 Reconfigurable Intelligent Surfaces, which are able to reflect and manipulate a radio signal to influence occurrences such as interferences, coverage, or human exposure. The locations of RIS devices have been selected by the project members referring to the empty areas, where the impact of RISs on PL distribution could be crucial. Next, the suspension heights of the RISs have been manipulated to evaluate the possible improvement of radio signal propagation within the studied area.

Methodology

The PL calculations have been based on the mathematical formulas from the scientific literature (RIS Far-Field Beamforming Case - RIS-FFBC, Source: References section [1]) and reports (Urban Macro-Cell - UMa, Source: References section [2]) performed within the digital simulation runs by using the Green Radio Access Network Design (GRAND) tool (developed by teams from the Ghent University & Poznan University of Technology).

Simulation setup

The setup of the input parameters for used mathematical formulas (PL distribution models) has been done in accordance with the values attached within the delivered literature positions (cited within the Methodology description and the publications included in the Related works section of the following dataset) and adjusted to the considered study. Furthermore, the data used to model the network environment (building distribution, coverage area, base stations' locations) are the real data collected by the City Hall of Poznan and one of the Polish Mobile Operators, respectively.

Results

The results of the aforementioned investigations have been included in the attached files, which can be described as follows:

The first 2 columns denote the X and Y coordinates for the measurement points, for which the Path Loss values (via LOS, NLOS, or RIS) have been obtained. The third column presents the observed minimal PL value for a particular measurement point. The study has been performed for 5 different configurations - RIS disabled (_results_wmas_no_ris.csv), RIS enabled placed at default heights (_results_wmas_ris_0m.csv), RIS enabled and placed at heights differing from the initial (default) heights about 10 (_results_wmas_ris_10m.csv), 20 (_results_wmas_ris_20m.csv), and 30 (_results_wmas_ris_30m.csv) meters. 

Acknowledgment

More details about the conducted studies have been described within the attached papers (Related works section). The work (including the following dataset preparation) by A. Samorzewski and A. Kliks was realized within project no. 2021/43/B/ST7/01365 funded by the National Science Center in Poland.
DOI: 10.3886/e191402
title: Data and Code for "The Economic Impact of Depression Treatment in India: Evidence from Community-Based Provision of Pharmacotherapy"

description: This study evaluates the impact of depression treatment on economic behavior in Karnataka, India. We cross-randomize pharmacotherapy and livelihoods assistance among 1000 depressed adults and evaluate impacts on depression severity, socioeconomic outcomes, and several potential pathways. When combined, the interventions reduce depression severity, with benefits that persist after treatment concludes. Pharmacotherapy alone has a weaker effect that is only marginally significant and dissipates sooner. Depression treatment does not significantly increase earnings, consumption, or human capital investment in children.
description: For child-level analysis of impacts on human capital investment, we weight by the inverse number of school-aged children in the household.
description: Response Rates: The aggregate response rate across 5 survey rounds was 89.5%
description: Presence of Common Scales: PHQ-9 Depression Severity Scale<br>GAD-7 Anxiety Scale<br>Several Likert Scales as described in the included survey questionnaires.
description: We screened adults in three taluks near Bangalore for depression. We recruited individuals with depression symptoms to participate in the study, as described in the manuscript.
description: Adults near Bangalore who screened positive for depression symptoms.  . Smallest Geographic Unit: Locality (rural village or urban ward).
description: face-to-face interview;
DOI: 10.3886/e191402v1-172541
title: Data and Code for "The Economic Impact of Depression Treatment in India: Evidence from Community-Based Provision of Pharmacotherapy"

description: This study evaluates the impact of depression treatment on economic behavior in Karnataka, India. We cross-randomize pharmacotherapy and livelihoods assistance among 1000 depressed adults and evaluate impacts on depression severity, socioeconomic outcomes, and several potential pathways. When combined, the interventions reduce depression severity, with benefits that persist after treatment concludes. Pharmacotherapy alone has a weaker effect that is only marginally significant and dissipates sooner. Depression treatment does not significantly increase earnings, consumption, or human capital investment in children.
description: For child-level analysis of impacts on human capital investment, we weight by the inverse number of school-aged children in the household.
description: Response Rates: The aggregate response rate across 5 survey rounds was 89.5%
description: Presence of Common Scales: PHQ-9 Depression Severity Scale<br>GAD-7 Anxiety Scale<br>Several Likert Scales as described in the included survey questionnaires.
description: We screened adults in three taluks near Bangalore for depression. We recruited individuals with depression symptoms to participate in the study, as described in the manuscript.
description: Adults near Bangalore who screened positive for depression symptoms.  . Smallest Geographic Unit: Locality (rural village or urban ward).
description: face-to-face interview;
DOI: 10.15468/dl.yuaskz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is 43125"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002013-250325103851331/datasets/export for details.
DOI: 10.15468/dl.buvghk
title: Occurrence Download

description: A dataset containing 914 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saperda candida Fabricius, 1787"
 ]
}

 The dataset includes 914 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002014-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.desvnt
title: Occurrence Download

description: A dataset containing 514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acacia cyclops A.Cunn. ex G.Don, Acacia saligna (Labill.) H.L.Wendl., Acanthus mollis L., Agave americana L., Agrostis capillaris L., Albizia julibrissin Durazz., Alnus glutinosa (L.) Gaertn., Alternanthera sessilis (L.) R.Br. ex DC., Arundo donax L., Asparagus officinalis L., Azadirachta indica A.Juss., Barleria tomentosa B.Heyne ex Roth, Bidens tripartita L., Brassica tournefortii Gouan, Bromus rubens L., Carpobrotus edulis (L.) N.E.Br., Casuarina equisetifolia L., Centaurea melitensis L., Centaurea solstitialis L., Colocasia esculenta (L.) Schott, Cynara cardunculus L., Cyperus bulbosus Vahl, Cyperus rotundus L., Dactyloctenium aegyptium (L.) Willd., Datura ferox L., Echinochloa crus-galli (L.) P.Beauv., Ehrharta calycina Sm., Eleusine indica (L.) Gaertn., Erigeron canadensis L., Erodium cicutarium (L.) L'Hér., Eucalyptus camaldulensis Denham, Eucalyptus sideroxylon A.Cunn. ex Woolls, Frangula alnus Mill., Galinsoga parviflora Cav., Gleditsia triacanthos L., Halophila stipulacea (Forssk.) Asch., Hedera helix L., Hypericum perforatum L., Imperata cylindrica (L.) Raeusch., Ipomoea aquatica Forssk., Ipomoea imperati (Vahl) Griseb., Leucaena leucocephala (Lam.) de Wit, Lotus corniculatus L., Lythrum salicaria L., Melia azedarach L., Nicotiana glauca Graham, Nicotiana tabacum L., Nothoscordum gracile (Aiton) Stearn, Opuntia monacantha Haw., Opuntia stricta (Haw.) Haw., Oxalis articulata Savigny, Panicum repens L., Cenchrus clandestinus (Hochst. ex Chiov.) Morrone, Phalaris arundinacea L., Phoenix canariensis H.Wildpret, Pinus pinaster Aiton, Pinus pinea L., Poa annua L., Populus alba L., Prosopis juliflora (Sw.) DC., Ranunculus ficaria Walter, 1788, Rhamnus alaternus L., Ricinus communis L., Rumex crispus L., Sagina procumbens L., Salpichroa origanifolia (Lam.) Baill., Salsola tragus L., Senecio vulgaris L., Solanum elaeagnifolium Cav., Tamarix aphylla (L.) H.Karst., Taraxacum officinale Weber ex F.H.Wigg., Trapa natans L., Trifolium dubium Sibth., Trifolium repens L., Veronica serpyllifolia L., Ziziphus mauritiana Lam.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Country is one of (Tunisia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 514 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002015-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vdz9sq
title: Occurrence Download

description: A dataset containing 2300 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus saxatilis F.Cuvier, 1823"
 ]
}

 The dataset includes 2300 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002019-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15088699
title: Finding compiler-generated functions in Pascal executables
DOI: 10.5281/zenodo.15088700
title: Finding compiler-generated functions in Pascal executables
DOI: 10.57967/hf/4972
title: realHistory
DOI: 10.34740/kaggle/dsv/11172985
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.15468/dl.xc7vu6
title: Occurrence Download

description: A dataset containing 48902 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Manihot esculenta Crantz"
 ]
}

 The dataset includes 48902 records from 472 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002020-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive143271.20230509.8.1
title: Moraxella bovis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0131435.10fu
title: SH0131435.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive143271.20251217.10
title: Moraxella bovis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143272.20230509.8.1
title: Moraxella bovis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0131436.10fu
title: SH0131436.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive143272.20251217.10
title: Moraxella bovis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143273.20241212.9.2
title: Streptococcus infantarius subsp. coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0131437.10fu
title: SH0131437.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive143273.20251217.10
title: Streptococcus infantarius subsp. coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143274.20241212.9.2
title: Bifidobacterium longum subsp. infantis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0131438.10fu
title: SH0131438.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive143274.20251217.10
title: Bifidobacterium longum subsp. infantis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143275.20241212.9.2
title: Gemella morbillorum

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0131439.10fu
title: SH0131439.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive143275.20251217.10
title: Gemella morbillorum

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143276.20241212.9.2
title: Serratia odorifera

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0131440.10fu
title: SH0131440.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive143276.20251217.10
title: Serratia odorifera

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143277.20230509.8.1
title: Vibrio cholerae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.