cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20291998.v1
title: Snapshot of the Carbon Dioxide Removal certification and standards ecosystem (2021–2022)

description: Carbon Dioxide Removal (CDR) will be necessary to fulfil the hundreds of pledges to reach net-zero by 2050. As with any industry, standard methodologies and certification are crucial to guarantee successful and reliable activities. However, buyers and policymakers currently face challenges in evaluating the ecosystem of CDR certification. The issue is not with CDR, nor with individual certifications – some of which may be very robust – but with the lack of transparency in the overall ecosystem. To bring some clarity, we present a snapshot of the CDR certification and standards ecosystem for the year 2021–2022. We find a complex ecosystem with at least 30 standard developing organizations proposing at least 125 standard methodologies for carbon removal from 23 different CDR activities and selling 27 different versions of certification instruments in voluntary and compliance markets. This exercise reveals many more existing standards for nature-based than for engineering-based activities and more diversity from standards serving the voluntary rather than the compliance market. It also highlights a proliferation of standards for the same activity, and a plethora of activities without standards. The process revealed ambiguity on what constitutes carbon removal, with many standards certifying activities that remove CO<sub>2</sub> already in the environment as well as activities that avoid or reduce new emissions by sequestering the carbon into reservoirs. This mapping highlights key gaps and potential starting points for reforms to strengthen the CDR certification industry; it also underscores the need for independent oversight. The CDR certification ecosystem is complex and evolving rapidly, raising questions about oversight and quality.Targeted support would be necessary for the timely development of standards for nascent but promising CDR activities, and oversight would be required to ensure the quality of certification.Ensuring a minimum quality would require clarifying the treatment of emission reduction, removal, and avoidance, amongst other concerns. The CDR certification ecosystem is complex and evolving rapidly, raising questions about oversight and quality. Targeted support would be necessary for the timely development of standards for nascent but promising CDR activities, and oversight would be required to ensure the quality of certification. Ensuring a minimum quality would require clarifying the treatment of emission reduction, removal, and avoidance, amongst other concerns.
DOI: 10.6084/m9.figshare.20291998
title: Snapshot of the Carbon Dioxide Removal certification and standards ecosystem (2021–2022)

description: Carbon Dioxide Removal (CDR) will be necessary to fulfil the hundreds of pledges to reach net-zero by 2050. As with any industry, standard methodologies and certification are crucial to guarantee successful and reliable activities. However, buyers and policymakers currently face challenges in evaluating the ecosystem of CDR certification. The issue is not with CDR, nor with individual certifications – some of which may be very robust – but with the lack of transparency in the overall ecosystem. To bring some clarity, we present a snapshot of the CDR certification and standards ecosystem for the year 2021–2022. We find a complex ecosystem with at least 30 standard developing organizations proposing at least 125 standard methodologies for carbon removal from 23 different CDR activities and selling 27 different versions of certification instruments in voluntary and compliance markets. This exercise reveals many more existing standards for nature-based than for engineering-based activities and more diversity from standards serving the voluntary rather than the compliance market. It also highlights a proliferation of standards for the same activity, and a plethora of activities without standards. The process revealed ambiguity on what constitutes carbon removal, with many standards certifying activities that remove CO<sub>2</sub> already in the environment as well as activities that avoid or reduce new emissions by sequestering the carbon into reservoirs. This mapping highlights key gaps and potential starting points for reforms to strengthen the CDR certification industry; it also underscores the need for independent oversight. The CDR certification ecosystem is complex and evolving rapidly, raising questions about oversight and quality.Targeted support would be necessary for the timely development of standards for nascent but promising CDR activities, and oversight would be required to ensure the quality of certification.Ensuring a minimum quality would require clarifying the treatment of emission reduction, removal, and avoidance, amongst other concerns. The CDR certification ecosystem is complex and evolving rapidly, raising questions about oversight and quality. Targeted support would be necessary for the timely development of standards for nascent but promising CDR activities, and oversight would be required to ensure the quality of certification. Ensuring a minimum quality would require clarifying the treatment of emission reduction, removal, and avoidance, amongst other concerns.
DOI: 10.6084/m9.figshare.21541407
title: cra_asp_snp.vcf.gz

description: Single nucleotide polymorphisms (SNPs) across the genomes of two closely related spruce species, <em>Picea asperata</em> and <em>P. crassifolia.</em>
DOI: 10.6084/m9.figshare.21541407.v1
title: cra_asp_snp.vcf.gz

description: Single nucleotide polymorphisms (SNPs) across the genomes of two closely related spruce species, <em>Picea asperata</em> and <em>P. crassifolia.</em>
DOI: 10.6084/m9.figshare.14885214
title: A Siamese neural network for learning the similarity metrics of linear features

description: The data and codes that support the findings of the paper entitled "A Siamese neural network for learning the similarity metrics of linear features", https://doi.org/10.1080/13658816.2022.2143505
DOI: 10.6084/m9.figshare.14885214.v2
title: Data and codes for ”A Siamese neural network for learning the similarity metrics of linear features“

description: The data and codes that support the findings of the paper entitled "A Siamese neural network for learning the similarity metrics of linear features"
DOI: 10.34740/kaggle/dsv/4421196
title: Kakao (Cacao) mentah primer
DOI: 10.5281/zenodo.5816875
title: Scholarly articles written by women extracted from Indexes of Archaeological Papers (1891-1907) and Gomme's Index of Archaeological Papers 1665-1890

description: The dataset `List-of-Women-in-Archaeological-Indexes_cleaned.tsv` contains scholarly articles written by women extracted from annual <em>Indexes of Archaeological Papers</em> published between 1891 and 1907 inclusive and George Laurence Gomme's <em>Index of Archaeological Papers 1665-1890</em>, referred to hereafter as the source datasets. These Indexes were published in London, initially by the Congress of Archaeological Societies directly, and from 1898 by Archibald Constable & Co. The Indexes were sent to Societies subscribing to the Congress, but could also be acquired separately. A list of indexes consulted in available on our Zotero library. The dataset is published in .tsv and .xslx formats. This is v2 of the dataset, including some cleaned publication titles and the addition of the socities that published each journal (v2.1 fixes a faulty dataset export in v2).
DOI: 10.5281/zenodo.5793076
title: Scholarly articles written by women extracted from Indexes of Archaeological Papers (1891-1907) and Gomme's Index of Archaeological Papers 1665-1890

description: The dataset `List-of-Women-in-Archaeological-Indexes_cleaned.tsv` contains scholarly articles written by women extracted from annual <em>Indexes of Archaeological Papers</em> published between 1891 and 1907 inclusive and George Laurence Gomme's <em>Index of Archaeological Papers 1665-1890</em>, referred to hereafter as the source datasets. These Indexes were published in London, initially by the Congress of Archaeological Societies directly, and from 1898 by Archibald Constable & Co. The Indexes were sent to Societies subscribing to the Congress, but could also be acquired separately. A list of indexes consulted in available on our Zotero library. The dataset is published in .tsv and .xslx formats. This is v2 of the dataset, including some cleaned publication titles and the addition of the socities that published each journal (v2.1 fixes a faulty dataset export in v2).
DOI: 10.6084/m9.figshare.5117452
title: Ulmus glabra chorology

description: Distribution map of wych elm (<i>Ulmus glabra</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). <br>Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01<br><br>
DOI: 10.6084/m9.figshare.5117452.v4
title: Ulmus glabra chorology

description: Distribution map of wych elm (<i>Ulmus glabra</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). <br>Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01<br><br>
DOI: 10.23729/e8226c37-884e-483a-8dc0-cf39d9c2e078
title: Miocene Red Clay preview

description: Late Miocene (ca. 6.5 Ma) Baode Formation, Chinese Loess Plateau, Aeolian loess (“Red Clay”), Purpose: Particle sphericity and aspect ratios to infer transportation processes. Preview of PAS-dataset https://doi.org/10.23729/d828234d-7ddf-407d-a323-8d0a325bb23e
DOI: 10.3886/e112602v1-130521
title: Replication data for: Intermediary Asset Pricing

description: We model the dynamics of risk premia during crises in asset markets where the marginal investor is a financial intermediary. Intermediaries face an equity capital constraint. Risk premia rise when the constraint binds, reflecting the capital scarcity. The calibrated model matches the nonlinearity of risk premia during crises and the speed of reversion in risk premia from a crisis back to precrisis levels. We evaluate the effect of three government policies: reducing intermediaries borrowing costs, injecting equity capital, and purchasing distressed assets. Injecting equity capital is particularly effective because it alleviates the equity capital constraint that drives the model's crisis. (JEL E44, G12, G21, G23, G24)
DOI: 10.5281/zenodo.5519104
title: Data supplement for "Land use intensification increasingly drives the spatiotemporal patterns of the global human appropriation of net primary production in the last century"

description: This data supplements the publication "Land use intensification increasingly drives the spatiotemporal patterns of the global human appropriation of net primary production in the last century" by Thomas Kastner, Sarah Matej, Matthew Forrest, Simone Gingrich, Helmut Haberl, Thomas Hickler, Fridolin Krausmann, Gitta Lasslop, Maria Niedertscheider, Christoph Plutzar, Florian Schwarzmüller, Jörg Steinkamp, Karl-Heinz Erb. For details, please refer to the included readme file and to the publication (https://doi.org/10.1111/gcb.15932) In this new Version 1.01, we changed the file structure to make the data more accessible, we added data on means across modulations as used in the paper, and we include csv files with national totals for the different HANPP components.
description: Other funding sources include: Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) projects KA 4815/1-1 and 420377726; Vienna Science and Technology Fund (WWTF), project no. ESR17-014 ;
DOI: 10.5281/zenodo.5519105
title: Data supplement for "Land use intensification increasingly drives the spatiotemporal patterns of the global human appropriation of net primary production in the last century"

description: This data supplements the publication "Land use intensification increasingly drives the spatiotemporal patterns of the global human appropriation of net primary production in the last century" by Thomas Kastner, Sarah Matej, Matthew Forrest, Simone Gingrich, Helmut Haberl, Thomas Hickler, Fridolin Krausmann, Gitta Lasslop, Maria Niedertscheider, Christoph Plutzar, Florian Schwarzmüller, Jörg Steinkamp, Karl-Heinz Erb. For details, please refer to the included readme file and to the publication (https://doi.org/10.1111/gcb.15932)
description: Other funding sources include: Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) projects KA 4815/1-1 and 420377726; Vienna Science and Technology Fund (WWTF), project no. ESR17-014 ;
DOI: 10.6084/m9.figshare.21542955
title: Data from the Gopko et al. manuscript 'Is vision deterioration responsible for changes in host’s behavior caused by eye flukes?'

description: Two data files, where similar data are presented in a long and short format (.csv). The third (text) file contains a detailed description of the variables. In brief, there are data about the fish (<em>Salvelinus malma</em>, Arctic charr group) behaviour, size, infection status (control or infected) and parasitic loads in the files. Among behavioural traits tested, there are fish activity and depth preference in dark and light conditions. In addition, there is information about the order in which fish was caught, a rough proxy of predation avoidance. More detailed data can be found in the 'data description' file and in the text of our research paper.
DOI: 10.6084/m9.figshare.21542955.v1
title: Data from the Gopko et al. manuscript 'Is vision deterioration responsible for changes in host’s behavior caused by eye flukes?'

description: Two data files, where similar data are presented in a long and short format (.csv). The third (text) file contains a detailed description of the variables. In brief, there are data about the fish (<em>Salvelinus malma</em>, Arctic charr group) behaviour, size, infection status (control or infected) and parasitic loads in the files. Among behavioural traits tested, there are fish activity and depth preference in dark and light conditions. In addition, there is information about the order in which fish was caught, a rough proxy of predation avoidance. More detailed data can be found in the 'data description' file and in the text of our research paper.
DOI: 10.48420/21539316
title: Supporting characterisation data for Synthesis and Characterization of Yttrium Methanediide Silanide Complexes

description: Supporting characterisation data for Synthesis and Characterization of Yttrium Methanediide Silanide Complexes
DOI: 10.48420/21539316.v1
title: Supporting characterisation data for Synthesis and Characterization of Yttrium Methanediide Silanide Complexes

description: Supporting characterisation data for Synthesis and Characterization of Yttrium Methanediide Silanide Complexes
DOI: 10.5281/zenodo.7043787
title: sustAGE User Postures & Actions Monitoring dataset

description: The sustAGE User Postures & Actions Monitoring dataset contains videos, data related to occurrences of ergonomic (body straining) postures as well as heart rate measurements of line workers during work activities in a realistic manufacturing environment. The time-synchronized data streams were captured during assembly tasks performed by real line workers in a realistic car door assembly production line in the premises of Stellantis --- Centro Ricerche FIAT (CRF)/SPW Research \& Innovation department in Melfi, Italy in the context of the sustAGE project. The dataset can be used by methods that target the following research tasks: a) vision-based detection of worker’s ergonomically unhealthy (body straining) postures during assembly tasks according to the MURI risk analysis tool, b) vision-based recognition of human assembly actions, c) multi-modal analysis and forecasting of worker heart rate and physical fatigue based on heart rate measurements and the detection (annotated occurrences) of body straining postures during work activities. Each video shows a single line worker that performs a series of car door assembly activities, noted as a task cycle execution, for a specific workstation of the production line. A set of twelve task cycle executions performed by three different workers were captured using static StereoLabs ZED or ZED2 sensors. Each task cycle execution has a mean duration of 4 minutes. Moreover, time-synchronised data for the occurrences of body straining postures and worker heart rate are available for 8 work sessions. Each work session was recorded during morning or afternoon time of the work shift and regards 3 to 5 consecutive task cycle executions performed by the same line worker. Heart rate data was captured using a Garmin Vivoactive 3 smartwatch. Time annotations are available for the samples collected during the work sessions based on the Unix time (Epoch time) format. Annotation data are available for twelve task cycle executions and contain the semantic labels and temporal boundaries of each assembly action and for the ergonomic risk scores of body straining postures performed by the line worker during each task cycle execution. Data was provided by experts in manufacturing and ergonomics based on the MURI risk analysis tool. Documentation of this dataset can be found in [1]. If you use the dataset in your research work, you are kindly asked to cite [1] in your publications. [1] Papoutsakis K, Papadopoulos G, Maniadakis M, Papadopoulos T, Lourakis M, Pateraki M, Varlamis I. Detection of Physical Strain and Fatigue in Industrial Environments Using Visual and Non-Visual Low-Cost Sensors. MDPI <em>Technologies</em>. 2022; 10(2):42. https://doi.org/10.3390/technologies10020042
description: {"references": ["https://doi.org/10.3390/technologies10020042"]}
DOI: 10.5281/zenodo.7043786
title: sustAGE User Postures & Actions Monitoring dataset

description: The sustAGE User Postures & Actions Monitoring dataset contains videos, data related to occurrences of ergonomic (body straining) postures as well as heart rate measurements of line workers during work activities in a realistic manufacturing environment. The time-synchronized data streams were captured during assembly tasks performed by real line workers in a realistic car door assembly production line in the premises of Stellantis --- Centro Ricerche FIAT (CRF)/SPW Research \& Innovation department in Melfi, Italy in the context of the sustAGE project. The dataset can be used by methods that target the following research tasks: a) vision-based detection of worker’s ergonomically unhealthy (body straining) postures during assembly tasks according to the MURI risk analysis tool, b) vision-based recognition of human assembly actions, c) multi-modal analysis and forecasting of worker heart rate and physical fatigue based on heart rate measurements and the detection (annotated occurrences) of body straining postures during work activities. Each video shows a single line worker that performs a series of car door assembly activities, noted as a task cycle execution, for a specific workstation of the production line. A set of twelve task cycle executions performed by three different workers were captured using static StereoLabs ZED or ZED2 sensors. Each task cycle execution has a mean duration of 4 minutes. Moreover, time-synchronised data for the occurrences of body straining postures and worker heart rate are available for 8 work sessions. Each work session was recorded during morning or afternoon time of the work shift and regards 3 to 5 consecutive task cycle executions performed by the same line worker. Heart rate data was captured using a Garmin Vivoactive 3 smartwatch. Time annotations are available for the samples collected during the work sessions based on the Unix time (Epoch time) format. Annotation data are available for twelve task cycle executions and contain the semantic labels and temporal boundaries of each assembly action and for the ergonomic risk scores of body straining postures performed by the line worker during each task cycle execution. Data was provided by experts in manufacturing and ergonomics based on the MURI risk analysis tool. Documentation of this dataset can be found in [1]. If you use the dataset in your research work, you are kindly asked to cite [1] in your publications. [1] Papoutsakis K, Papadopoulos G, Maniadakis M, Papadopoulos T, Lourakis M, Pateraki M, Varlamis I. Detection of Physical Strain and Fatigue in Industrial Environments Using Visual and Non-Visual Low-Cost Sensors. MDPI <em>Technologies</em>. 2022; 10(2):42. https://doi.org/10.3390/technologies10020042
description: {"references": ["https://doi.org/10.3390/technologies10020042"]}
DOI: 10.34688/fpv7-b321
title: Virtual Cohort for prevention of Alzheimer's Dementia