cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14055815
title: Determining the Impacts of Stone Quarry Works On Riparian Vegetation of River Molo in Rongai Sub-County, Nakuru County, Kenya

description: The contribution made by stone quarrying to the Gross Domestic Product (GDP) in many countries globally is enormous. Whether small or large-scale, stone quarrying is inherently disruptive and can cause detrimental effects on the fragile riparian vegetation. This research therefore, aimed at determining the status of riparian vegetation between 2000- 2023 along river Molo and establishing the effects of stone quarry works on riparian vege-tation. A descriptive survey design was adopted where 404 household heads were randomly sampled from a total of 35,545 households in Visoi, Soin and Mosop wards. 15 key informants were purposively sampled for interviews. Questionnaires, interview schedules and Geographical Information System (GIS) and Remote sensing (RS) instruments were used in data collection. The obtained data was analyzed using SPSS (Version 25), ArchMap and remote sensing (time series) to analyze changes in riparian vegetation using the Normalized Difference Vegetation Index (NDVI). The findings revealed a significant decline in riparian vegetation attributed to land use changes driven by poor agricultural practices and quarrying activities. The five purposively selected quarries were found to be located between 49 - 330 meters away from the river, where one was abandoned with no sign of reclamation, thus directly affecting the health and integrity of the riparian vegetation. It was also noted that massive heaping of quarry overburden and deep excavation accelerated felling of trees, reduced natural regeneration and increased soil erosion. These findings will be useful to inform the best quarrying practices to reduce detrimental impacts on riparian vegetation and a foundation for policy development in quarrying sector at county and national level.
DOI: 10.5281/zenodo.14055816
title: Determining the Impacts of Stone Quarry Works On Riparian Vegetation of River Molo in Rongai Sub-County, Nakuru County, Kenya

description: The contribution made by stone quarrying to the Gross Domestic Product (GDP) in many countries globally is enormous. Whether small or large-scale, stone quarrying is inherently disruptive and can cause detrimental effects on the fragile riparian vegetation. This research therefore, aimed at determining the status of riparian vegetation between 2000- 2023 along river Molo and establishing the effects of stone quarry works on riparian vege-tation. A descriptive survey design was adopted where 404 household heads were randomly sampled from a total of 35,545 households in Visoi, Soin and Mosop wards. 15 key informants were purposively sampled for interviews. Questionnaires, interview schedules and Geographical Information System (GIS) and Remote sensing (RS) instruments were used in data collection. The obtained data was analyzed using SPSS (Version 25), ArchMap and remote sensing (time series) to analyze changes in riparian vegetation using the Normalized Difference Vegetation Index (NDVI). The findings revealed a significant decline in riparian vegetation attributed to land use changes driven by poor agricultural practices and quarrying activities. The five purposively selected quarries were found to be located between 49 - 330 meters away from the river, where one was abandoned with no sign of reclamation, thus directly affecting the health and integrity of the riparian vegetation. It was also noted that massive heaping of quarry overburden and deep excavation accelerated felling of trees, reduced natural regeneration and increased soil erosion. These findings will be useful to inform the best quarrying practices to reduce detrimental impacts on riparian vegetation and a foundation for policy development in quarrying sector at county and national level.
DOI: 10.15468/dl.trnwrx
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Aeluropus micrantherus Tzvelev"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002915-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcapja
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nycticebus bengalensis (Lacépède, 1800), Rhinopithecus brelichi Thomas, 1903, Trachypithecus shortridgei (Wroughton, 1915), Trachypithecus pileatus (Blyth, 1843), Nycticebus pygmaeus Bonhote, 1907, Macaca leucogenys Li, Zhao & Fan, 2015, Trachypithecus leucocephalus Tan, 1957, Macaca assamensis (McClelland, 1840), Hylobates lar (Linnaeus, 1771), Rhinopithecus bieti A.Milne-Edwards, 1897, Semnopithecus schistaceus Hodgson, 1840, Nomascus concolor (Harlan, 1826), Hoolock tianxing Peng-Fei Fan, Kai He, Xing Chen et al., 2017, Nomascus concolor (Harlan, 1826), Hylobates lar (Linnaeus, 1771), Trachypithecus pileatus (Blyth, 1843), Trachypithecus francoisi (de Pousargues, 1898), Macaca assamensis (McClelland, 1840), Nomascus leucogenys (Ogilby, 1840), Nomascus leucogenys (Ogilby, 1840), Nomascus leucogenys (Ogilby, 1840), Macaca arctoides (I.Geoffroy Saint-Hilaire, 1831), Nomascus nasutus (Kunkel d'Herculais, 1884), Rhinopithecus roxellana (A.Milne-Edwards, 1870), Nomascus concolor (Harlan, 1826), Trachypithecus phayrei (Blyth, 1847), Macaca arctoides (I.Geoffroy Saint-Hilaire, 1831), Macaca mulatta (Zimmermann, 1780), Macaca arctoides (I.Geoffroy Saint-Hilaire, 1831), Macaca leonina (Blyth, 1863), Hoolock hoolock (Harlan, 1834), Rhinopithecus roxellana (A.Milne-Edwards, 1870), Rhinopithecus roxellana (A.Milne-Edwards, 1870), Trachypithecus crepusculus (Elliot, 1909), Macaca thibetana (A.Milne-Edwards, 1870), Macaca munzala Sinha, Datta, Madhusudan & Mishra, 2005, Nomascus concolor (Harlan, 1826))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Year is greater than or equal to 1940",
 "Year is less than or equal to 1960",
 "Country is one of (China, Chinese Taipei)",
 "Geometry POLYGON((73 4,135 4,135 53,73 53,73 4))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002916-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12802478
title: Cross-correlations of Days before the strike: precursory waveform decoherence preceding major strike-slip earthquakes

description: Repository of 

Days before the strike: precursory waveform decoherence preceding major strike-slip earthquakes

This dataset contains the cross-correlation functions of station pairs used for Ridgecrest, CA, Turkiye (EAFZ), and Aegean Sea (NAT). The dataset is compressed in a tar.gz. To decompress, use tar -xzvf filename.tar.gz. Download and decompress the cross-correlations dataset named WF_DEC_DAT_CC.tar.gz.

Description of the data and file structure

The dataset is organized by study area as follows: ZONE (Aegean, Ridgecrest, Turkey) with sub-directories CC (cross-correlation functions).

Sub-directories CC contain sub-directories named according to station pairs (e.g., XXX_YYY) storing cross-correlation functions in numpy arrays organized by stacking (5, 10, and 20 days) and different frequency bands, adapted to use in the Ambient-Noise Seismology Package NoisePy https://github.com/noisepy/NoisePy (Jiang and Denolle, 2020).

Data was derived from the following sources:





The raw data can be downloaded from https://ds.iris.edu/mda/CI/ (for Ridgecrest dataset) and https://www.orfeus-eu.org/data/ for (Turkey and Aegean Sea datasets). The cross-correlation functions computed using MSNoise http://msnoise.org/doc/index.html/ Lecocq et al (2014).



Code/Software

To reproduce the results and conclusion of the manuscript, use the Jupyter notebooks available at https://github.com/fjmunozb/EQ_Precursors. Find also python environments to install MSNoise and NoisePy.
DOI: 10.5281/zenodo.12802477
title: Cross-correlations of Days before the strike: precursory waveform decoherence preceding major strike-slip earthquakes

description: Repository of 

Days before the strike: precursory waveform decoherence preceding major strike-slip earthquakes

This dataset contains the cross-correlation functions of station pairs used for Ridgecrest, CA, Turkiye (EAFZ), and Aegean Sea (NAT). The dataset is compressed in a tar.gz. To decompress, use tar -xzvf filename.tar.gz. Download and decompress the cross-correlations dataset named WF_DEC_DAT_CC.tar.gz.

Description of the data and file structure

The dataset is organized by study area as follows: ZONE (Aegean, Ridgecrest, Turkey) with sub-directories CC (cross-correlation functions).

Sub-directories CC contain sub-directories named according to station pairs (e.g., XXX_YYY) storing cross-correlation functions in numpy arrays organized by stacking (5, 10, and 20 days) and different frequency bands, adapted to use in the Ambient-Noise Seismology Package NoisePy https://github.com/noisepy/NoisePy (Jiang and Denolle, 2020).

Data was derived from the following sources:





The raw data can be downloaded from https://ds.iris.edu/mda/CI/ (for Ridgecrest dataset) and https://www.orfeus-eu.org/data/ for (Turkey and Aegean Sea datasets). The cross-correlation functions computed using MSNoise http://msnoise.org/doc/index.html/ Lecocq et al (2014).



Code/Software

To reproduce the results and conclusion of the manuscript, use the Jupyter notebooks available at https://github.com/fjmunozb/EQ_Precursors. Find also python environments to install MSNoise and NoisePy.
DOI: 10.15468/dl.b9t7b8
title: Occurrence Download

description: A dataset containing 15266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Rhyticeros undulatus (Shaw, 1812)"
 ]
}

 The dataset includes 15266 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002917-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13881827
title: Grid of 3D NLTE synthetic spectra for the Na I lines in FGK-type dwarf stars.
DOI: 10.5281/zenodo.13881828
title: Grid of 3D NLTE synthetic spectra for the Na I lines in FGK-type dwarf stars.
DOI: 10.15482/usda.adc/27620229.v1
title: Data from: A Comparative Life Cycle Assessment of Hemp-based and Polylactide (PLA) Composite 3D Printing Filaments

description: The Fused Filament Fabrication (FFF) technique of additive manufacturing has enabled the use of bio-based polymers like Polylactic Acid (PLA), therefore promoting sustainability in the AM industry using eco-friendly filament instead of synthetic plastics that have long dominated the AM industry. However, PLA’s brittleness limits its broader applicability, leading to the exploration of natural fiber fillers, such as flax, hemp, jute, kenaf, and ramie, to enhance the mechanical, thermal, and aesthetic properties of PLA-based AM filaments. This study investigates the use of untreated hemp straw as a filler to improve the elongation at break of PLA, with a particular focus on the environmental implications of using hemp compared to pure PLA. Tensile specimens from both hemp-based and pure PLA materials were fabricated and assessed. A gate-to-grave life cycle assessment (LCA) was performed using SimaPro and the <i>Ecoinvent</i> database, employing ReCiPe 2016, CED, and IPCC 2021 GWP100 methodologies. Findings revealed that hemp-based specimens exhibited a significantly lower environmental impact than pure PLA, attributed primarily to the reduced energy consumption and emissions during the production and processing of hemp-PLA, as well as the resulting lower composite density using hemp straw. A sensitivity analysis of transportation distances and impact assessment methods (IMPACT World+ and TRACI) showed consistency in the overall environmental evaluation, with minor variations in certain impact categories. This study underscores the potential of hemp-PLA as a more sustainable material for additive manufacturing, especially in applications where ductility is a priority. Future research should explore the environmental impacts of using treated hemp-based straw, hurd, and fiber fillers as they offer possibilities for enhancing the properties of PLA.
DOI: 10.5255/ukda-sn-857399
title: Centre for Climate Change and Social Transformations: Car-Free Living Trials, 2024

description: The Going Car Free project, coordinated by climate action charity Possible, follows individuals as they hang up the keys to their cars for three weeks. Possible are funded partners in the ESRC Centre for Climate and Social Transformation, and this project aims to understand the immediate and lasting impacts of the trial on everyday mobility. For the first week of the trial, participants were monitored using their vehicle as usual. The following three weeks they attempted to continue their typical everyday routines without the use of their private vehicle. Researchers from the University of Manchester, Cardiff University, and the University of Bristol interviewed participants with the aim of understanding the changes that individuals made to live a car-free lifestyle, what their experiences of car-free living were, and what barriers (both personal and structural) – if any – prevented them giving up their cars altogether. Qualitative interview data for two car-free living experiments are included within this data deposit.

Experiment 1 involved 12 people in four cities (Birmingham, Bristol, Leeds and London), though one individual did not complete the trial. The individuals were selected to ensure a range of experiences and backgrounds, sampling for age, gender, childcare and caring responsibilities, ethnicity, and disability. The challenge ran from 10th January to 6th February 2022, and the interviews were conducted immediately post-trial in February, and approximately 12 weeks after May/June 2022. 

Experiment 2 was conducted in partnership with Low Carbon Oxford North (LCON) and was conducted in March 2024. 12 drivers from across the city, from a range of backgrounds and locations (again, sampled to reflect diverse backgrounds, identities, and personal circumstances, according to sample frame criteria that covered gender, age, ethnicity, religion, disability, long-term health conditions, childcare and caring responsibilities, types of employment, and location). Interviews were conducted in the first week of the challenge, and two weeks after the challenge had finished.

In both experiments, participants were paid to participate in the research, and their local travel expenses for their car-free weeks were reimbursed. They also received one-to-one support, and additional information about the options available to them, including a briefing pack with details and tips for walking, cycling, using public transport, and trying car clubs or car sharing. They had access to cycle hire, cycle repair, complementary cycle insurance, and car club membership.
DOI: 10.15468/dl.pcqbba
title: Occurrence Download

description: A dataset containing 2510504 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate reprojected, Coordinate precision/uncertainty mismatch, Footprint SRS invalid, Footprint WKT mismatch, Footprint WKT invalid, Country coordinate mismatch, Country mismatch, Country invalid, Country derived from coordinates, Continent coordinate mismatch, Continent country mismatch, Continent invalid, Continent derived from country, Continent derived from coordinates, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Recorded date mismatch, Recorded date invalid, Recorded date unlikely, Taxon match aggregate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, The scientific name differs on the record from that found in the checklist, Taxon match none, The backbone match found using the taxon IDs differs from what would be found if using the scientific names, Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Elevation not metric, Elevation non numeric, Modified date invalid, Modified date unlikely, Identified date unlikely, Identified date invalid, Basis of record invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, ccurrence status inferred from basis of record, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan, Different owner institution, Occurrence status inferred from individual count)",
 "OccurrenceStatus is Present",
 "TaxonKey is Polypodiopsida"
 ]
}

 The dataset includes 2510504 records from 1169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002890-241107131044228/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.26555804.v1
title: Additional file 3 of In the battle of the disease: a transcriptomic analysis of European foulbrood-diseased larvae of the Western honey bee (Apis mellifera)

description: Additional file 3 : Table S1. Correlation analysis of weight and mRNA abundance.
DOI: 10.6084/m9.figshare.26555813.v1
title: Additional file 6 of In the battle of the disease: a transcriptomic analysis of European foulbrood-diseased larvae of the Western honey bee (Apis mellifera)

description: Additional file 6 : Table S4. Expressional comparison of DUF1676 domian containing genes and the Osiris family.
DOI: 10.15468/dl.aanek4
title: Occurrence Download

description: A dataset containing 30038 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lynx lynx (Linnaeus, 1758)",
 "Year 1970-2024"
 ]
}

 The dataset includes 30038 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064404-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc22z9s5
title: CCDC 1935757: Experimental Crystal Structure Determination

description: Related Article: Hongkui Zhang, Jian-Ping Tan, Xiaoyu Ren, Fan Wang, Jia-Yan Zheng, Jiajia He, Yu Feng, Zhipeng Xu, Zhishan Su, Tianli Wang|2024|Chemical Science|15|12017|doi:10.1039/D4SC02212B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28mvtl
title: CCDC 2104460: Experimental Crystal Structure Determination

description: Related Article: Xianghui Shi, Peng Deng, Thayalan Rajeshkumar, Laurent Maron, Jianhua Cheng|2024|Chemical Science|15|11965|doi:10.1039/D4SC03104K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28mvvm
title: CCDC 2104461: Experimental Crystal Structure Determination

description: Related Article: Xianghui Shi, Peng Deng, Thayalan Rajeshkumar, Laurent Maron, Jianhua Cheng|2024|Chemical Science|15|11965|doi:10.1039/D4SC03104K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28mvwn
title: CCDC 2104462: Experimental Crystal Structure Determination

description: Related Article: Xianghui Shi, Peng Deng, Thayalan Rajeshkumar, Laurent Maron, Jianhua Cheng|2024|Chemical Science|15|11965|doi:10.1039/D4SC03104K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28mvxp
title: CCDC 2104463: Experimental Crystal Structure Determination

description: Related Article: Xianghui Shi, Peng Deng, Thayalan Rajeshkumar, Laurent Maron, Jianhua Cheng|2024|Chemical Science|15|11965|doi:10.1039/D4SC03104K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28mvyq
title: CCDC 2104464: Experimental Crystal Structure Determination

description: Related Article: Xianghui Shi, Peng Deng, Thayalan Rajeshkumar, Laurent Maron, Jianhua Cheng|2024|Chemical Science|15|11965|doi:10.1039/D4SC03104K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28mvzr
title: CCDC 2104465: Experimental Crystal Structure Determination

description: Related Article: Xianghui Shi, Peng Deng, Thayalan Rajeshkumar, Laurent Maron, Jianhua Cheng|2024|Chemical Science|15|11965|doi:10.1039/D4SC03104K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.