cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48677/8b49b6cb-20ac-4436-aca5-6dfec3278953
title: Photogrammetrische Grundlagen 2020

description: Das Luftbildarchiv des BEV enthält, je nach Verfügbarkeit, neben den Originalaufnahmen auch die für photogrammetrische Anwendungen erforderlichen Grundlagen. Passpunktkoordinaten, Passpunktskizzen, Passpunktübersichten, Arbeitskopien, Orientierungsdaten und Kalibrierungsprotokolle sind unverzichtbare Arbeitsbehelfe zur technischen Auswertung von Luftbildern.
Photogrammetrischen Grundlagen beinhalten eine Arbeitskopie, alle dazugehörigen Passpunkte mit eventuell vorhandenen Skizzen sowie das Kalibrierungsprotokoll.

Seit der Umstellung auf eine digitale Befliegung (ab 2011) sind auf Grund dieser produktionstechnischen Änderung keine Photogrammetrischen Grundlagen mehr verfügbar. Kalibrierungsprotokolle stehen weiterhin zur Verfügung.
DOI: 10.15468/dl.qyq2g5
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((7.78947 46.69217,7.83120 46.69217,7.83120 46.70885,7.78947 46.70885,7.78947 46.69217))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Orthoptera"
 ]
}

 The dataset includes 203 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023544-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48677/dac7fb2b-43c8-4e56-b35d-703f8138c12c
title: Photogrammetrische Grundlagen 2021

description: Das Luftbildarchiv des BEV enthält, je nach Verfügbarkeit, neben den Originalaufnahmen auch die für photogrammetrische Anwendungen erforderlichen Grundlagen. Passpunktkoordinaten, Passpunktskizzen, Passpunktübersichten, Arbeitskopien, Orientierungsdaten und Kalibrierungsprotokolle sind unverzichtbare Arbeitsbehelfe zur technischen Auswertung von Luftbildern.
Photogrammetrischen Grundlagen beinhalten eine Arbeitskopie, alle dazugehörigen Passpunkte mit eventuell vorhandenen Skizzen sowie das Kalibrierungsprotokoll.

Seit der Umstellung auf eine digitale Befliegung (ab 2011) sind auf Grund dieser produktionstechnischen Änderung keine Photogrammetrischen Grundlagen mehr verfügbar. Kalibrierungsprotokolle stehen weiterhin zur Verfügung.
DOI: 10.48677/03f6c95f-8780-48a9-b5a4-a0d66a5392d5
title: Photogrammetrische Grundlagen 2022

description: Das Luftbildarchiv des BEV enthält, je nach Verfügbarkeit, neben den Originalaufnahmen auch die für photogrammetrische Anwendungen erforderlichen Grundlagen. Passpunktkoordinaten, Passpunktskizzen, Passpunktübersichten, Arbeitskopien, Orientierungsdaten und Kalibrierungsprotokolle sind unverzichtbare Arbeitsbehelfe zur technischen Auswertung von Luftbildern.
Photogrammetrischen Grundlagen beinhalten eine Arbeitskopie, alle dazugehörigen Passpunkte mit eventuell vorhandenen Skizzen sowie das Kalibrierungsprotokoll.

Seit der Umstellung auf eine digitale Befliegung (ab 2011) sind auf Grund dieser produktionstechnischen Änderung keine Photogrammetrischen Grundlagen mehr verfügbar. Kalibrierungsprotokolle stehen weiterhin zur Verfügung.
DOI: 10.57745/dfkzjm
title: produits résiduaires organiques (PRO) en ACV.pdf

description: :unav
DOI: 10.57745/mee2eq
title: Organic Waste Products in LCA - GIS REVALIM Report - 2024.pdf

description: :unav
DOI: 10.15468/dl.ybwatb
title: Occurrence Download

description: A dataset containing 7931 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bothrops atrox (Linnaeus, 1758)"
 ]
}

 The dataset includes 7931 records from 205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023546-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.amfj2r
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023554-250127130748423/datasets/export for details.
DOI: 10.5281/zenodo.13317710
title: National Checklists: Eswatini Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.15468/dl.9nwzju
title: Occurrence Download

description: A dataset containing 989 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Diving into the vertical dimension of elasmobranch movement ecology (2000-2019)"
 ]
}

 The dataset includes 989 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023551-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/hyct-m9fn
title: Measurement of Inorganics in air and particle phase at Lahemaa

description: Measurement of Inorganics in air and particle phase at Lahemaa
DOI: 10.5281/zenodo.14851070
title: National Checklists: Eswatini Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.5281/zenodo.13317709
title: National Checklists: Eswatini Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.5281/zenodo.14844466
title: Calibrated CTD data at OBSEA acquired by a SBE37SI

description: CTD data acquired at the OBSEA underwater observatory  (NW Mediterranean sea, 20m depth). The CTD sensor, SBE37SI, was calibrated at Ifremer Metrology Laboratory. The raw data has been analyzed using the SensorML Uncertainty Analysis tool, correcting raw sensor values and enriching the dataset with uncertainty information. The machine-actionable SensorML with calibration information has been added in JSON format.

The data in NetCDF format contains the measurements of the SBE37SI from 2025-01-22 to 2025-02-10. 

Files Included:



OBSEA_CTD_SBE37SI_CAL_20250124_20250210.nc : NetCDF dataset

SBE37SI-SN37-24580.json : SensorML sensor description (machine-actionable)

SBE37SI-SN37-24580_CNDC_Calibration_20241204.pdf : Conductivity calibration certificate

SBE37SI-SN37-24580_TEMP_Calibration_20241204.pdf : Temperature calibration certificate


This work has been funded by the MINKE project funded by the European Commission within the Horizon 2020 Programme (2014-2020) Grant Agreement No. 101008724
DOI: 10.5281/zenodo.14844465
title: Calibrated CTD data at OBSEA acquired by a SBE37SI

description: CTD data acquired at the OBSEA underwater observatory  (NW Mediterranean sea, 20m depth). The CTD sensor, SBE37SI, was calibrated at Ifremer Metrology Laboratory. The raw data has been analyzed using the SensorML Uncertainty Analysis tool, correcting raw sensor values and enriching the dataset with uncertainty information. The machine-actionable SensorML with calibration information has been added in JSON format.

The data in NetCDF format contains the measurements of the SBE37SI from 2025-01-22 to 2025-02-11. 

Files Included:



OBSEA_CTD_SBE37SI_20250122_20250211_CAL.nc : NetCDF dataset

SBE37SI-SN37-24580.json : SensorML sensor description (machine-actionable)

SBE37SI-SN37-24580_CNDC_Calibration_20241204.pdf : Conductivity calibration certificate

SBE37SI-SN37-24580_TEMP_Calibration_20241204.pdf : Temperature calibration certificate


This work has been funded by the MINKE project funded by the European Commission within the Horizon 2020 Programme (2014-2020) Grant Agreement No. 101008724
DOI: 10.5281/zenodo.14851041
title: Calibrated CTD data at OBSEA acquired by a SBE37SI

description: CTD data acquired at the OBSEA underwater observatory  (NW Mediterranean sea, 20m depth). The CTD sensor, SBE37SI, was calibrated at Ifremer Metrology Laboratory. The raw data has been analyzed using the SensorML Uncertainty Analysis tool, correcting raw sensor values and enriching the dataset with uncertainty information. The machine-actionable SensorML with calibration information has been added in JSON format.

The data in NetCDF format contains the measurements of the SBE37SI from 2025-01-22 to 2025-02-11. 

Files Included:



OBSEA_CTD_SBE37SI_20250122_20250211_CAL.nc : NetCDF dataset

SBE37SI-SN37-24580.json : SensorML sensor description (machine-actionable)

SBE37SI-SN37-24580_CNDC_Calibration_20241204.pdf : Conductivity calibration certificate

SBE37SI-SN37-24580_TEMP_Calibration_20241204.pdf : Temperature calibration certificate


This work has been funded by the MINKE project funded by the European Commission within the Horizon 2020 Programme (2014-2020) Grant Agreement No. 101008724
DOI: 10.5281/zenodo.14850953
title: Analysis of Electrical and Quantum Phenomena in Engineering Applications

description: This study presents an analysis of specific electrical and quantum phenomena relevant to engineering applications. The discussion stems from computational simulations and analytical models that describe the interaction of electromagnetic fields with conductive and insulating materials. The results highlight the importance of considering quantum effects in certain cases where classical approaches fall short, particularly in nanotechnology and semiconductor physics. The study employs numerical simulations to validate theoretical models, demonstrating their applicability in modern engineering challenges.[Extracted from the following discussion: https://chatgpt.com/share/67a3c140-4fdc-8002-85c8-6b58ec3ddeb6 ]
DOI: 10.5281/zenodo.14850954
title: Analysis of Electrical and Quantum Phenomena in Engineering Applications

description: This study presents an analysis of specific electrical and quantum phenomena relevant to engineering applications. The discussion stems from computational simulations and analytical models that describe the interaction of electromagnetic fields with conductive and insulating materials. The results highlight the importance of considering quantum effects in certain cases where classical approaches fall short, particularly in nanotechnology and semiconductor physics. The study employs numerical simulations to validate theoretical models, demonstrating their applicability in modern engineering challenges.[Extracted from the following discussion: https://chatgpt.com/share/67a3c140-4fdc-8002-85c8-6b58ec3ddeb6 ]
DOI: 10.48597/9h48-wp6a
title: Measurement of Inorganics in air and particle phase at Lahemaa

description: Measurement of Inorganics in air and particle phase at Lahemaa
DOI: 10.5281/zenodo.14845577
title: SNF SPARK project "Paleographic Networks" (ID: CRSK-1_221210)

description: This dataset contains CSV versions of the tables involved in the database of the SNF SPARK project "Paleographic Networks: Towards Automated Paleographic Dating" (project ID: CRSK-1_221210). These tables were exported from the Nodegoat database "Paleographic Networks" hosted at the University of Bern. The exported tables document all the graphs ("letters") occurring on the complete corpus of provenanced Iron Age Hebrew stamp seals and seal impressions, as well as the paleographic features of each graph, according to the new typology of the Paleo-Hebrew script developed within the "Paleographic Networks" project. The dataset consists of three files:



Seals-table.csv : documents all the seals (and seal impressions) in the database.

Graphs.csv : documents all the graphs (instances of letters) in the database.

Features-table.csv : documents all the paleographic features in the database.
DOI: 10.5281/zenodo.14845578
title: SNF SPARK project "Paleographic Networks" (ID: CRSK-1_221210)

description: This dataset contains CSV versions of the tables involved in the database of the SNF SPARK project "Paleographic Networks: Towards Automated Paleographic Dating" (project ID: CRSK-1_221210). These tables were exported from the Nodegoat database "Paleographic Networks" hosted at the University of Bern. The exported tables document all the graphs ("letters") occurring on the complete corpus of provenanced Iron Age Hebrew stamp seals and seal impressions, as well as the paleographic features of each graph, according to the new typology of the Paleo-Hebrew script developed within the "Paleographic Networks" project. The dataset consists of three files:



Seals-table.csv : documents all the seals (and seal impressions) in the database.

Graphs.csv : documents all the graphs (instances of letters) in the database.

Features-table.csv : documents all the paleographic features in the database.
DOI: 10.5281/zenodo.14800799
title: PhaseSCA: Exploiting Phase-Modulated Emanations in Side Channels - nRF51422 Dataset

description: Dataset (I/Q signals) of the nRF51422 DUT used in the PhaseSCA paper for the TCHES 2025 artifact evaluation.
DOI: 10.5281/zenodo.14800800
title: PhaseSCA: Exploiting Phase-Modulated Emanations in Side Channels - nRF51422 Dataset

description: Dataset (I/Q signals) of the nRF51422 DUT used in the PhaseSCA paper for the TCHES 2025 artifact evaluation.
DOI: 10.5281/zenodo.14849086
title: PhaseSCA: Exploiting Phase-Modulated Emanations in Side Channels - nRF51422 Dataset

description: Dataset (I/Q signals) of the nRF51422 DUT used in the PhaseSCA paper for the TCHES 2025 artifact evaluation.
DOI: 10.5281/zenodo.13710825
title: Wheat Breeding Multimodal Dataset

description: This dataset is a wheat breeding multimodal dataset, including wheat germplasm data, wheat phenotypic data, wheat cultivation technique data, wheat plant protection technique data, wheat seed price data, UAV remote sensing data, and experimental site weather data. The data sources are field acquisition and online public data.

The wheat germplasm data comes from the Chinese Crop Germplasm Information Network (https://www.cgris.net/). The data on wheat cultivation technique and wheat plant protection technique come from search engines (Google, Bing, Baidu), and the search terms include "wheat cultivation technique, wheat plant protection technique, 小麦栽培技术, 小麦植保技术". The wheat seed historical price data comes from the National Seed Market Monitoring Information Release Platform (http://202.127.45.18/) - China. UAV remote sensing data is the result of further processing after being obtained from field experiments. Weather data comes from meteorological equipment at various agricultural experimental bases and meteorological observation stations of the China Meteorological Administration.

The acquisition and processing of data are described in the relevant part of the manuscript.

This dataset will be continuously updated in the future to help breeding work be carried out efficiently and accelerate the breeding process of excellent varieties.
DOI: 10.5281/zenodo.13710826
title: Wheat Breeding Multimodal Dataset

description: This dataset is a wheat breeding multimodal dataset, including wheat germplasm data, wheat phenotypic data, wheat planting technique data, wheat plant protection technique data, wheat seed price data, UAV remote sensing data, and weather data. The data sources are field acquisition and online public data.

Wheat germplasm data comes from the China Crop Germplasm Information Network (https://www.cgris.net/). The data on wheat planting technique and wheat plant protection technique come from search engines (Google, Bing, Baidu), and the search terms include "wheat planting technique, wheat cultivation technique, wheat plant protection technique, 小麦种植技术, 小麦栽培技术, 小麦植保技术". Wheat seed price data comes from the National Seed Market Monitoring Information Release Platform (http://202.127.45.18/) - China. UAV remote sensing data is the result of further processing after being obtained from field experiments. Weather data comes from meteorological equipment at various agricultural experimental bases and meteorological observation stations of the China Meteorological Administration.

The acquisition and processing of data are described in the relevant part of the manuscript.

This dataset will be continuously updated in the future to help breeding work be carried out efficiently and accelerate the breeding process of excellent varieties.
DOI: 10.5281/zenodo.13736773
title: Wheat Breeding Multimodal Dataset

description: This dataset is a wheat breeding multimodal dataset, including wheat germplasm data, wheat phenotypic data, wheat cultivation technique data, wheat plant protection technique data, wheat seed price data, UAV remote sensing data, and experimental site weather data. The data sources are field acquisition and online public data.

The wheat germplasm data comes from the Chinese Crop Germplasm Information Network (https://www.cgris.net/). The data on wheat cultivation technique and wheat plant protection technique come from search engines (Google, Bing, Baidu), and the search terms include "wheat cultivation technique, wheat plant protection technique, 小麦栽培技术, 小麦植保技术". The wheat seed historical price data comes from the National Seed Market Monitoring Information Release Platform (http://202.127.45.18/) - China. UAV remote sensing data is the result of further processing after being obtained from field experiments. Weather data comes from meteorological equipment at various agricultural experimental bases and meteorological observation stations of the China Meteorological Administration.

The acquisition and processing of data are described in the relevant part of the manuscript.

This dataset will be continuously updated in the future to help breeding work be carried out efficiently and accelerate the breeding process of excellent varieties.
DOI: 10.5281/zenodo.14841928
title: Wheat Breeding Multimodal Dataset

description: This dataset is a wheat breeding multimodal dataset, including wheat germplasm data, wheat phenotypic data, wheat cultivation technique data, wheat plant protection technique data, wheat seed price data, UAV remote sensing data, and experimental site weather data. The data sources are field acquisition and online public data.

The wheat germplasm data comes from the Chinese Crop Germplasm Information Network (https://www.cgris.net/). The data on wheat cultivation technique and wheat plant protection technique come from search engines (Google, Bing, Baidu), and the search terms include "wheat cultivation technique, wheat plant protection technique, 小麦栽培技术, 小麦植保技术". The wheat seed historical price data comes from the National Seed Market Monitoring Information Release Platform (http://202.127.45.18/) - China. UAV remote sensing data is the result of further processing after being obtained from field experiments. Weather data comes from meteorological equipment at various agricultural experimental bases and meteorological observation stations of the China Meteorological Administration.

The acquisition and processing of data are described in the relevant part of the manuscript.

This dataset will be continuously updated in the future to help breeding work be carried out efficiently and accelerate the breeding process of excellent varieties.
DOI: 10.5281/zenodo.14851093
title: Raw Data HappyMoo
DOI: 10.5281/zenodo.14851094
title: Raw Data HappyMoo
DOI: 10.5281/zenodo.14851116
title: LCP Surveys and Data for Virtual Ryugaku

description: Copies of digital language contact profile surveys (pre-post-daily) distributed to EFL students in different study abroad conditions. Collected data has been anonymized.
DOI: 10.5281/zenodo.14851117
title: LCP Surveys and Data for Virtual Ryugaku

description: Copies of digital language contact profile surveys (pre-post-daily) distributed to EFL students in different study abroad conditions. Collected data has been anonymized.
DOI: 10.5066/p1ved5sa
title: Climate change effects on ecosystem services supply & demand: an updated synthesis data release

description: Climate change is a pervasive and growing global threat to the supply and demand of ecosystem goods and services that maintain human well-being. A recent review found that the impacts of climate change on ecosystem services are sometimes mixed, posing challenges for managers who need to adapt to these changes. We expand on earlier work by exploring drivers of varying responses of ecosystem services to climate within studies. We conducted a systematic review of English-language papers directly assessing climate change impacts on the supply, demand, or monetary value of ‘provisioning services’, ‘regulating services’, or ‘cultural services’. Ultimately, we extracted data from 44 papers published from December 2014 to March 2018. In addition to recording direct climate impacts, we extracted data regarding climate interactions with non-climate drivers (e.g., land use change), study context (e.g., spatial scale, location, ecosystem) and methodology, characteristics and interactions between services, whether and how uncertainty was assessed, and implications for decision-making. To answer our core research question, we extracted data reflecting drivers of mixed responses (e.g., variation in ecosystem service responses over space, ecosystem service indicators, time periods, or climate change scenarios, models or variables). While biased and constrained by excluding articles published in non-English languages and grey literature, this data spreadsheet compiles summary information and relevant literature for managers, decision-makers, researchers, and planners.
DOI: 10.48597/48rv-4czw
title: Measurement of Magnesium at Lahemaa

description: Measurement of Magnesium at Lahemaa
DOI: 10.48597/7bjw-p374
title: Measurement of Calcium at Lahemaa

description: Measurement of Calcium at Lahemaa
DOI: 10.48597/nv6d-zr4h
title: Measurement of Sodium at Lahemaa

description: Measurement of Sodium at Lahemaa
DOI: 10.48597/r64s-gh7g
title: Measurement of Chloride at Lahemaa

description: Measurement of Chloride at Lahemaa
DOI: 10.48597/zgra-rnnz
title: Measurement of Potassium at Lahemaa

description: Measurement of Potassium at Lahemaa
DOI: 10.48597/cjeh-x9ak
title: Measurement of Sulphate_corrected at Lahemaa

description: Measurement of Sulphate_corrected at Lahemaa
DOI: 10.48597/cnmu-t74h
title: Measurement of Sulphate_total at Lahemaa

description: Measurement of Sulphate_total at Lahemaa
DOI: 10.48597/8yk8-8es9
title: Measurement of Inorganics in air and particle phase at Lahemaa

description: Measurement of Inorganics in air and particle phase at Lahemaa
DOI: 10.48597/cx6h-b7wa
title: Measurement of Inorganics in air and particle phase at Lahemaa

description: Measurement of Inorganics in air and particle phase at Lahemaa