cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/wg8-s3y-da6
title: Noctua Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/8pe-xmy-661
title: Noctua Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/q1m-sk9-ycz
title: Earophila Gumppenberg, 1887

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0br-7ba-tm4
title: Noctua Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/121-7s2-k82
title: Noctua Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/q1n-r7l-9jm
title: Noctua Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/w4c-vfe-xe4
title: Noctua Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/y0q-49q-w38
title: Speranza Curtis, 1828

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/3p9-tz2-n4x
title: Noctua Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15468/dl.6zmx3r
title: Occurrence Download

description: A dataset containing 4414 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lespedeza juncea"
 ]
}

 The dataset includes 4414 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008304-260108223611665/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.26395921
title: source data

description: Original Western blot photo without cropping and source data files.
DOI: 10.6084/m9.figshare.26395921.v1
title: source data

description: Original Western blot photo without cropping and source data files.
DOI: 10.15468/dl.ftr8ny
title: Occurrence Download

description: A dataset containing 172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Steiermärkisches Landesmuseum Joanneum - Herbarium GJO",
 "Issue is Country coordinate mismatch"
 ]
}

 The dataset includes 172 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008305-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/8bx-tn2-8bl
title: Sideridis (Aneda) Sukhareva, 1973

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/gk0-2g4-zec
title: Sideridis (Aneda) Sukhareva, 1973

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.18240766
title: Data and MATLAB Scripts for "Performance, Sizing and Residual Load – An Analysis of Photovoltaic Systems for a Water Treatment Facility"

description: This dataset accompanies the manuscript:“Performance, Sizing and Residual Load – An Analysis of Photovoltaic Systems for a Water Treatment Facility”.

The repository contains MATLAB scripts and data files used to generate the results presented in the paper.The workflow is divided into two main steps.

----------------------------------------------------------------1. 3D PV generation matrix construction----------------------------------------------------------------Folder: 3D_matrix_build

The script "a3dmat.mlx" generates 3D matrices of hourly PV energy generationas a function of tilt angle, azimuth angle, and time (8760 hours) for areference PV system with a nominal capacity of 1 kWp.

Input files:a) coords.xlsx   - Geographic coordinates of the analysed locations.   - NOTE: The coordinates have been modified to generic values in order to     protect sensitive information related to real water utility assets.

b) "1-8"_DirectNormalIrradianceFullHours.mat   - Direct Normal Irradiance (DNI) data from the CM SAF SARAH-3.0 dataset     for locations 1–8 (hourly resolution).

c) "1-8"_SIS_FullHours.mat   - Surface Incoming Solar Radiation (SIS) data from the CM SAF SARAH-3.0     dataset for locations 1–8 (hourly resolution).

d) "1-8"_WindTemperatureData.mat   - Wind speed and ambient temperature data from the ERA5 reanalysis     dataset for locations 1–8 (hourly resolution).

The output of this step consists of 3D matrices containing hourly PVgeneration for all evaluated combinations of tilt and azimuth angles.

----------------------------------------------------------------2. PV sizing and output analysis----------------------------------------------------------------Folder: output_analysis

The script "PVSize.mlx" performs PV system sizing and performance analysisbased on the 3D PV generation matrices generated in Step 1.

Input files:a) 3D PV generation matrices produced in Step 1

b) PWIKEnergy_1.mat   - Hourly electricity demand data for the analysed water treatment     facilities.   - NOTE: The demand data have been min–max normalised to preserve     confidentiality of operational electricity consumption while     maintaining the temporal demand profile.

Using these inputs, the script calculates:- PV system size under the annual energy-balance constraint,- Capacity factor (CF),- Self-consumption (SC),- Residual load (RL),for both CF-optimised and SC-optimised orientation scenarios.

Software requirements: MATLAB (R2024a or later recommended).
DOI: 10.5281/zenodo.18240765
title: Data and MATLAB Scripts for "Performance, Sizing and Residual Load – An Analysis of Photovoltaic Systems for a Water Treatment Facility"

description: This dataset accompanies the manuscript:“Performance, Sizing and Residual Load – An Analysis of Photovoltaic Systems for a Water Treatment Facility”.

The repository contains MATLAB scripts and data files used to generate the results presented in the paper.The workflow is divided into two main steps.

----------------------------------------------------------------1. 3D PV generation matrix construction----------------------------------------------------------------Folder: 3D_matrix_build

The script "a3dmat.mlx" generates 3D matrices of hourly PV energy generationas a function of tilt angle, azimuth angle, and time (8760 hours) for areference PV system with a nominal capacity of 1 kWp.

Input files:a) coords.xlsx   - Geographic coordinates of the analysed locations.   - NOTE: The coordinates have been modified to generic values in order to     protect sensitive information related to real water utility assets.

b) "1-8"_DirectNormalIrradianceFullHours.mat   - Direct Normal Irradiance (DNI) data from the CM SAF SARAH-3.0 dataset     for locations 1–8 (hourly resolution).

c) "1-8"_SIS_FullHours.mat   - Surface Incoming Solar Radiation (SIS) data from the CM SAF SARAH-3.0     dataset for locations 1–8 (hourly resolution).

d) "1-8"_WindTemperatureData.mat   - Wind speed and ambient temperature data from the ERA5 reanalysis     dataset for locations 1–8 (hourly resolution).

The output of this step consists of 3D matrices containing hourly PVgeneration for all evaluated combinations of tilt and azimuth angles.

----------------------------------------------------------------2. PV sizing and output analysis----------------------------------------------------------------Folder: output_analysis

The script "PVSize.mlx" performs PV system sizing and performance analysisbased on the 3D PV generation matrices generated in Step 1.

Input files:a) 3D PV generation matrices produced in Step 1

b) PWIKEnergy_1.mat   - Hourly electricity demand data for the analysed water treatment     facilities.   - NOTE: The demand data have been min–max normalised to preserve     confidentiality of operational electricity consumption while     maintaining the temporal demand profile.

Using these inputs, the script calculates:- PV system size under the annual energy-balance constraint,- Capacity factor (CF),- Self-consumption (SC),- Residual load (RL),for both CF-optimised and SC-optimised orientation scenarios.

Software requirements: MATLAB (R2024a or later recommended).
DOI: 10.6084/m9.figshare.29979559
title: Structural basis of outer membrane biogenesis by the TamAB translocase

description: TamAB molecular dynamics simulations
DOI: 10.6084/m9.figshare.29979559.v1
title: Structural basis of outer membrane biogenesis by the TamAB translocase

description: TamAB molecular dynamics simulations
DOI: 10.6084/m9.figshare.28532636
title: Reactive Nitrogen-Driven Atmospheric Multiphase Buffering Induces Unintended Concomitant Pollution

description: The Observation Data file mainly includes data on buffering capacity, aerosol pH value, and water content. The GEOS-Chem simulation file mainly includes chemical composition data (Na+, Mg2+, K+, Ca2+, HNO3, NO3-, HCl, Cl-, NH3, NH4+, SO42-), meteorological data (temperature, relative humidity), OH radicals, and NO2 data for January, April, July, and October 2019. The Source Data of Figures file includes data from Figures 1-5.
DOI: 10.6084/m9.figshare.28532636.v1
title: Reactive Nitrogen-Driven Atmospheric Multiphase Buffering Induces Unintended Concomitant Pollution

description: The Observation Data file mainly includes data on buffering capacity, aerosol pH value, and water content. The GEOS-Chem simulation file mainly includes chemical composition data (Na+, Mg2+, K+, Ca2+, HNO3, NO3-, HCl, Cl-, NH3, NH4+, SO42-), meteorological data (temperature, relative humidity), OH radicals, and NO2 data for January, April, July, and October 2019. The Source Data of Figures file includes data from Figures 1-5.
DOI: 10.6084/m9.figshare.29525624
title: Hydrothermal alteration of Ryugu from a disruptive impact recorded in a returned sample

description: Quantitative major and minor element electron microprobe data for sulfides from Ryugu particles A0016-01, A0094-01, and C0103-01.
DOI: 10.6084/m9.figshare.29525624.v1
title: Hydrothermal alteration of Ryugu from a disruptive impact recorded in a returned sample

description: Quantitative major and minor element electron microprobe data for sulfides from Ryugu particles A0016-01, A0094-01, and C0103-01.
DOI: 10.15468/dl.x8c5xe
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.25.28_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008307-260108223611665/datasets/export for details.
DOI: 10.6084/m9.figshare.30362593
title: Structural insights into VLDLR recognition by Western Equine Encephalitis Virus

description: The official PDB validation reports of Western equine encephalitis virus California VLP apo and in complex with VLDLR-LBD, LA1-3, LA3 and LA5.
DOI: 10.6084/m9.figshare.30362593.v1
title: Structural insights into VLDLR recognition by Western Equine Encephalitis Virus

description: The official PDB validation reports of Western equine encephalitis virus California VLP apo and in complex with VLDLR-LBD, LA1-3, LA3 and LA5.
DOI: 10.6084/m9.figshare.30102463
title: An efficient method for site-selective boronation of peptides and proteins applied in magnified bacterial imaging

description: The analytical raw data (HPLC, LCMS, NMR, flow cytometer, confocal imaging); computational raw data and proteomics raw data which are used in the Manuscript and Supplementary Materials. Figure wise uploaded every individual files.
DOI: 10.6084/m9.figshare.30102463.v1
title: An efficient method for site-selective boronation of peptides and proteins applied in magnified bacterial imaging

description: The analytical raw data (HPLC, LCMS, NMR, flow cytometer, confocal imaging); computational raw data and proteomics raw data which are used in the Manuscript and Supplementary Materials. Figure wise uploaded every individual files.
DOI: 10.6084/m9.figshare.29453042
title: How does academia recognize the contribution of scientific data? Evidence from data contributors’ authorship

description: The data used in the paper.
DOI: 10.6084/m9.figshare.29453042.v1
title: How does academia recognize the contribution of scientific data? Evidence from data contributors’ authorship

description: The data used in the paper.
DOI: 10.3535/atx-6x5-0ra
title: Animalia

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/sfg-b1v-ptf
title: Animalia

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/q2p-13h-6hv
title: Sideridis (Aneda) Sukhareva, 1973

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/stk-208-wfk
title: Sideridis (Aneda) Sukhareva, 1973

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/r7p-lpd-tq0
title: Animalia

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.6084/m9.figshare.28673372
title: Battery-Electric Trucks are Projected to Lower the Societal Cost of Long-haul Freight in the United States - Code for figures 2, 3, and 4

description: Data for figures 2, 3, and 4. The dataset for figure 2 describes the mean private costs and standard deviations for diesel and battery electric long-haul heavy-duty vehicles generated through montecarlo simulation. Also included in figure 2 is the sensitivity of the difference in private costs to diesel and electricity prices. The dataset for figure 3 describes the mean external costs and standard deviations for diesel and battery electric long-haul heavy-duty vehicles generated through montecarlo simulation. The dataset for figure 3 describes the mean social costs and standard deviations for diesel and battery electric long-haul heavy-duty vehicles generated through montecarlo simulation.
DOI: 10.6084/m9.figshare.28673372.v1
title: Battery-Electric Trucks are Projected to Lower the Societal Cost of Long-haul Freight in the United States - Code for figures 2, 3, and 4

description: Data for figures 2, 3, and 4. The dataset for figure 2 describes the mean private costs and standard deviations for diesel and battery electric long-haul heavy-duty vehicles generated through montecarlo simulation. Also included in figure 2 is the sensitivity of the difference in private costs to diesel and electricity prices. The dataset for figure 3 describes the mean external costs and standard deviations for diesel and battery electric long-haul heavy-duty vehicles generated through montecarlo simulation. The dataset for figure 3 describes the mean social costs and standard deviations for diesel and battery electric long-haul heavy-duty vehicles generated through montecarlo simulation.
DOI: 10.3535/6yk-r2m-xf2
title: Sideridis (Aneda) Sukhareva, 1973

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/alj-1fn-v6d
title: Noctuidae

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/vfh-e7j-2vc
title: Sideridis (Aneda) Sukhareva, 1973

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/3fr-49n-val
title: Noctuidae

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/pvn-hg7-8qd
title: Sideridis (Aneda) Sukhareva, 1973

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/14h-695-wsk
title: Sideridis (Aneda) Sukhareva, 1973

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5mt-l69-3hx
title: Boloria napaea (Hübner)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/ghv-gp8-pz7
title: Sideridis (Aneda) Sukhareva, 1973

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/t91-4lx-5ba
title: Noctuidae

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/zbp-vb1-ez1
title: Sideridis (Aneda) Sukhareva, 1973

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15468/dl.m8edgr
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Parus major",
 "Year 2020-2021"
 ]
}

 The dataset includes 136 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008308-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9ed6f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.25.29_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008310-260108223611665/datasets/export for details.
DOI: 10.5281/zenodo.18240760
title: Bloomsbury Soundscape Database: Urban Soundscape Investigation and Participatory Design Database with Acoustic and Contextual Information

description: This repository contains two complementary datasets generated within a three-year (2023-2025) investigation of urban soundscapes and participatory soundscape design conducted in central London. The first dataset comprises soundscape assessments collected from 2023 to 2025. The second dataset contains data from a participatory soundscape design study conducted in 2025, informed by and building upon findings from the preceding soundscape investigation.

Soundscape Investigation Dataset

The first dataset contains the results of soundscape assessments conducted through an adapted soundwalk protocol with structured questionnaires, following ISO/TS 12913-2:2018 Method A [1]. Data collection captures in situ subjective evaluations of the acoustic environment alongside contextual and demographic information. Acoustic measurements and derived indicators accompany perceptual evaluations, following the reporting requirements set out in the ISO/TS 12913 series.

These data provide baseline empirical observations of soundscape perception in public urban spaces and informed the design of the subsequent participatory soundscape experiment.

Participatory Soundscape Design Dataset

The second dataset contains data from a participatory soundscape design study conducted in 2025, following and informed by observations from the 2023–2025 soundscape investigation.

The study comprised two sequential stages: a participatory soundscape design workshop, in which participants collaboratively developed alternative soundscape intervention proposals using an interactive audio-visual simulation tool and acoustic metamaterial (AMM) interventions; and a soundscape design assessment workshop, in which soundscape experts evaluated the proposed designs through structured soundscape appraisal tasks.

The overall experimental protocol follows the emerging ISO/TS 12913-4 (Design and Intervention), while the data collection and analysis procedures for soundscape assessment adhere to ISO/TS 12913-2 [1] and ISO/TS 12913-3 [2]. 

[1] ISO/TS 12913-2:2018 (2018). “Acoustics – Soundscape – Part 2: Data collection and reporting requirements” International Organization for Standardization, Geneva, Switzerland, 2018

[2] ISO/TS 12913-3:2019 (2019). “Acoustics — Soundscape — Part 3: Data Analysis” International Organization for Standardization, Geneva, Switzerland, 2019
DOI: 10.5281/zenodo.18240759
title: Bloomsbury Soundscape Database: Urban Soundscape Investigation and Participatory Design Database with Acoustic and Contextual Information

description: This repository contains two complementary datasets generated within a three-year (2023-2025) investigation of urban soundscapes and participatory soundscape design conducted in central London. The first dataset comprises soundscape assessments collected from 2023 to 2025. The second dataset contains data from a participatory soundscape design study conducted in 2025, informed by and building upon findings from the preceding soundscape investigation.

Soundscape Investigation Dataset

The first dataset contains the results of soundscape assessments conducted through an adapted soundwalk protocol with structured questionnaires, following ISO/TS 12913-2:2018 Method A [1]. Data collection captures in situ subjective evaluations of the acoustic environment alongside contextual and demographic information. Acoustic measurements and derived indicators accompany perceptual evaluations, following the reporting requirements set out in the ISO/TS 12913 series.

These data provide baseline empirical observations of soundscape perception in public urban spaces and informed the design of the subsequent participatory soundscape experiment.

Participatory Soundscape Design Dataset

The second dataset contains data from a participatory soundscape design study conducted in 2025, following and informed by observations from the 2023–2025 soundscape investigation.

The study comprised two sequential stages: a participatory soundscape design workshop, in which participants collaboratively developed alternative soundscape intervention proposals using an interactive audio-visual simulation tool and acoustic metamaterial (AMM) interventions; and a soundscape design assessment workshop, in which soundscape experts evaluated the proposed designs through structured soundscape appraisal tasks.

The overall experimental protocol follows the emerging ISO/TS 12913-4 (Design and Intervention), while the data collection and analysis procedures for soundscape assessment adhere to ISO/TS 12913-2 [1] and ISO/TS 12913-3 [2]. 

[1] ISO/TS 12913-2:2018 (2018). “Acoustics – Soundscape – Part 2: Data collection and reporting requirements” International Organization for Standardization, Geneva, Switzerland, 2018

[2] ISO/TS 12913-3:2019 (2019). “Acoustics — Soundscape — Part 3: Data Analysis” International Organization for Standardization, Geneva, Switzerland, 2019
DOI: 10.3535/b6v-r6c-a1y
title: Noctua Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/nb4-qz4-slz
title: Speranza Curtis, 1828

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/pax-4y3-9ad
title: Noctua Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/d54-gkq-95c
title: Noctua Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.