cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25375/uct.24587988
title: Leopard density along a gradient of conservation rigour

description: These are the data inputs for multi-session spatially explicit capture-recapture models used to investigate the drivers of leopard (<em>Panthera pardus</em>) density in the greater Kruger region of southern Africa. These data were collected by Panthera and processed using Panthera IDS. Data are formatted for use in the "secr" package within R. Files include a multi-session capture history file, mask, session, and trap covariate files, and a trap file for each of the 10 sessions. Contact Lucy Smyth (lsmyth@panthera.org) for further information about this dataset.
DOI: 10.25375/uct.24587988.v1
title: Leopard density along a gradient of conservation rigour

description: These are the data inputs for multi-session spatially explicit capture-recapture models used to investigate the drivers of leopard (<em>Panthera pardus</em>) density in the greater Kruger region of southern Africa. These data were collected by Panthera and processed using Panthera IDS. Data are formatted for use in the "secr" package within R. Files include a multi-session capture history file, mask, session, and trap covariate files, and a trap file for each of the 10 sessions. Contact Lucy Smyth (lsmyth@panthera.org) for further information about this dataset.
DOI: 10.5281/zenodo.10169024
title: GDP (current US$) - South Africa
title: World Bank national accounts data, and OECD National Accounts data files

description: South African GDP from date of first data collection to 2023.
DOI: 10.5281/zenodo.10169025
title: GDP (current US$) - South Africa
title: World Bank national accounts data, and OECD National Accounts data files

description: South African GDP from date of first data collection to 2023.
DOI: 10.25375/uct.24566998
title: Palaeodataset Orange Kloof

description: Fynbos and afrotemperate forest exist as alternate stable states in the Cape Floristic Region of South Africa. In parts of Table Mountain National Park, afrotemperate forest has expanded in recent decades. The aim of this project was to explore the drivers of this change and distinguish whether this expansion represents a recovery of forest after previous clearance during the 18<sup>th</sup> century or is a novel expansion of forest range that resulted from policies of fire suppression in the 20<sup>th</sup> century. To determine the relationships between forest and fynbos and its key drivers, pollen, non-pollen palynomorphs, charcoal, stable isotope ratios (δ<sup>13</sup>C) and major and trace elements were analysed from Late Holocene sediments extracted from Orange Kloof.
DOI: 10.25375/uct.24566998.v1
title: Palaeodataset Orange Kloof

description: Fynbos and afrotemperate forest exist as alternate stable states in the Cape Floristic Region of South Africa. In parts of Table Mountain National Park, afrotemperate forest has expanded in recent decades. The aim of this project was to explore the drivers of this change and distinguish whether this expansion represents a recovery of forest after previous clearance during the 18<sup>th</sup> century or is a novel expansion of forest range that resulted from policies of fire suppression in the 20<sup>th</sup> century. To determine the relationships between forest and fynbos and its key drivers, pollen, non-pollen palynomorphs, charcoal, stable isotope ratios (δ<sup>13</sup>C) and major and trace elements were analysed from Late Holocene sediments extracted from Orange Kloof.
DOI: 10.57967/hf/1373
title: MSC
DOI: 10.5281/zenodo.10044201
title: Vertical hydrography profiles from CTD rosette downcasts during PolarFront cruise 2023-08

description: PolarFront 2023-08 CTD profiles
Pressure, temperature, salinity, and other physical properties of seawater from 31 vertical profiles sampled during the PolarFront 2023-08 cruise. Only downcast values are used to avoid errors caused by turbulence on the upcast. Basic data processing were done using Sea-Bird Scientific software SBE Data Processing (v7.26): converting to physical units, filtering for outliers, and bin-averaging over 1 m bins. The final data accuracy is ±0.5 dbar for pressure, ±0.002˚C for sea water temperature and ±0.003 for sea water salinity.
Example final data `head -n3 stnr1085.xls`:

scan: Scan Count depSM: Depth [salt water, m] prDM: Pressure, Digiquartz [db] t090C: Temperature [ITS-90, deg C] c0S/m: Conductivity [S/m] sal00: Salinity, Practical [PSU] sigma-t00: Density [sigma-t, kg/m^3 ] svCM: Sound Velocity [Chen-Millero, m/s] flSP: Fluorescence, Seapoint sbeox0PS: Oxygen, SBE 43 [% saturation] seaTurbMtr: Turbidity, Seapoint [FTU] par/sat/log: PAR/Logarithmic, Satlantic [umol photons/m^2/sec] sbeox0ML/L: Oxygen, SBE 43 [ml/l] depSM: Depth [salt water, m], lat = 74.9995 potemp090C: Potential Temperature [ITS-90, deg C] sal00: Salinity, Practical [PSU] sigma-é00: Density [sigma-theta, kg/m^3] svCM: Sound Velocity [Chen-Millero, m/s] oxsolML/L: Oxygen Saturation, Garcia & Gordon [ml/l] flag: flag 243 3.955 4.000 8.9775 3.708699 34.9575 27.0886 1486.13 7.9014e-01 105.842 1.003 2.0359e+01 6.8367 3.958 8.9771 34.9576 27.0886 1486.13 6.45936 0.0000e+00 327 4.945 5.000 8.9787 3.708880 34.9577 27.0885 1486.15 7.4764e-01 99.487 0.991 1.4706e+01 6.4261 4.948 8.9782 34.9578 27.0886 1486.15 6.45918 0.0000e+00
 File types
Each station number has multiple data files from various steps of processing: `ls stnr1085*`: 
`stnr1085_bin.cnv stnr1085_bin.wmf stnr1085.bl stnr1085.btl stnr1085.btx stnr1085.cnv stnr1085.hdr stnr1085.hex stnr1085_RAW.cnv stnr1085.xls`
Notice that the *.xls are plain ascii text files with tab-separated values. These may be converted to utf-8 using `iconv -f iso8859-1 -t utf8`

*.bl = Bottle log information. Output bottle file, containing bottle firing sequence number and position, data, time, and beginning and ending scan numbers for each bottle closure. Beginning and ending scan numbers correspond to approximately 1.5-second duration for each bottle.
*.btl = Bottle files. Averaged data for each bottle.
*.cnv = Data converted to engineering units.
*hdr = Header information.
.hex = Hexadecimal data file.
*.xls = Converted data binned to 1 m as ascii text (tsv).
*.xlmcon = Instrument configuration.
*_bin.cnv = Converted data binned to 1 m as ascii data.
*_bin.wmf = Graphic of converted and 1m-binned data. *_RAW.cnv = Raw data as text file.
DOI: 10.5281/zenodo.10044202
title: Vertical hydrography profiles from CTD rosette downcasts during PolarFront cruise 2023-08

description: PolarFront 2023-08 CTD profiles
Pressure, temperature, salinity, and other physical properties of seawater from 31 vertical profiles sampled during the PolarFront 2023-08 cruise. Only downcast values are used to avoid errors caused by turbulence on the upcast. Basic data processing were done using Sea-Bird Scientific software SBE Data Processing (v7.26): converting to physical units, filtering for outliers, and bin-averaging over 1 m bins. The final data accuracy is ±0.5 dbar for pressure, ±0.002˚C for sea water temperature and ±0.003 for sea water salinity.
Example final data `head -n3 stnr1085.xls`:

scan: Scan Count depSM: Depth [salt water, m] prDM: Pressure, Digiquartz [db] t090C: Temperature [ITS-90, deg C] c0S/m: Conductivity [S/m] sal00: Salinity, Practical [PSU] sigma-t00: Density [sigma-t, kg/m^3 ] svCM: Sound Velocity [Chen-Millero, m/s] flSP: Fluorescence, Seapoint sbeox0PS: Oxygen, SBE 43 [% saturation] seaTurbMtr: Turbidity, Seapoint [FTU] par/sat/log: PAR/Logarithmic, Satlantic [umol photons/m^2/sec] sbeox0ML/L: Oxygen, SBE 43 [ml/l] depSM: Depth [salt water, m], lat = 74.9995 potemp090C: Potential Temperature [ITS-90, deg C] sal00: Salinity, Practical [PSU] sigma-é00: Density [sigma-theta, kg/m^3] svCM: Sound Velocity [Chen-Millero, m/s] oxsolML/L: Oxygen Saturation, Garcia & Gordon [ml/l] flag: flag 243 3.955 4.000 8.9775 3.708699 34.9575 27.0886 1486.13 7.9014e-01 105.842 1.003 2.0359e+01 6.8367 3.958 8.9771 34.9576 27.0886 1486.13 6.45936 0.0000e+00 327 4.945 5.000 8.9787 3.708880 34.9577 27.0885 1486.15 7.4764e-01 99.487 0.991 1.4706e+01 6.4261 4.948 8.9782 34.9578 27.0886 1486.15 6.45918 0.0000e+00
 File types
Each station number has multiple data files from various steps of processing: `ls stnr1085*`: 
`stnr1085_bin.cnv stnr1085_bin.wmf stnr1085.bl stnr1085.btl stnr1085.btx stnr1085.cnv stnr1085.hdr stnr1085.hex stnr1085_RAW.cnv stnr1085.xls`
Notice that the *.xls are plain ascii text files with tab-separated values. These may be converted to utf-8 using `iconv -f iso8859-1 -t utf8`

*.bl = Bottle log information. Output bottle file, containing bottle firing sequence number and position, data, time, and beginning and ending scan numbers for each bottle closure. Beginning and ending scan numbers correspond to approximately 1.5-second duration for each bottle.
*.btl = Bottle files. Averaged data for each bottle.
*.cnv = Data converted to engineering units.
*hdr = Header information.
.hex = Hexadecimal data file.
*.xls = Converted data binned to 1 m as ascii text (tsv).
*.xlmcon = Instrument configuration.
*_bin.cnv = Converted data binned to 1 m as ascii data.
*_bin.wmf = Graphic of converted and 1m-binned data. *_RAW.cnv = Raw data as text file.
DOI: 10.18454/mca.2023.42.1.1
title: Физико-механические свойства портландцемента цементного завода фирмы «Heidelbergcement»

description: Современное строительство и архитектура, Выпуск 11 (42) 2023
DOI: 10.18454/mca.2023.42.1.2
title: Химико-минералогический состав портландцемента класса 42,5 цементного завода фирмы «Heidelbergcement»

description: Современное строительство и архитектура, Выпуск 11 (42) 2023
DOI: 10.18454/mca.2023.42.1.3
title: Гранулометрический состав вспученного перлитового песка фирмы ТОО «ЮНИОН-ПЕРЛИТ»

description: Современное строительство и архитектура, Выпуск 11 (42) 2023
DOI: 10.6084/m9.figshare.24598716
title: Specimen Records <i>Philonthus splendens </i>& <i>Philonthus sideropterus. </i>From Geisler et al. 2024

description: Supplementary material for Geisler et al. 2024, containing geographic records, overview of gene extractions, and samples used for figures.
DOI: 10.6084/m9.figshare.24598716.v1
title: Specimen Records <i>Philonthus splendens </i>& <i>Philonthus sideropterus. </i>From Geisler et al. 2024

description: Supplementary material for Geisler et al. 2024, containing geographic records, overview of gene extractions, and samples used for figures.
DOI: 10.18454/mca.2023.42.1.7
title: Зависимость между прочностью на сжатие и соотношением «цемент/перлит»

description: Современное строительство и архитектура, Выпуск 11 (42) 2023
DOI: 10.18454/mca.2023.42.2.15
title: Объемно-планировочные показатели помещений первого этажа

description: Современное строительство и архитектура, Выпуск 11 (42) 2023
DOI: 10.18454/mca.2023.42.2.18
title: Объемно-планировочные показатели помещений первого этажа

description: Современное строительство и архитектура, Выпуск 11 (42) 2023
DOI: 10.15128/r1zc77sq19n
title: Soil-water retention curve prediction for compacted London Clay subjected to moisture cycles [dataset]

description: The evolution of the hydraulic properties of London Clay when compacted at a range of initial conditions (density and water content) was investigated. The soil-water retention curve (SWRC) is observed to change as the soil is subjected to cycles of wetting and drying. A new method is presented for predicting these changes in the soil-water retention curves (SWRCs) based on the starting conditions for each cycle, independently of the past hydraulic history. The method is based on relationships between the degree of saturation before drying (Sr,i), which includes the effect of void ratio and soil fabric, and key parameters that characterize the shape of SWRCs (air-entry value and slope of the transition zone). The relationship between the Sr,i and the air-entry value (or yield point, YP), and the relationship between the YP and the slope of the transition zone of the SWRC were established for the large experimental data set of two types of London clay of high and very high plasticity. The fitting parameters of a bi-linear SWRC model were estimated and used to constrain the fitting parameters of the van Genuchten model. As the SWRC of compacted clay continuously changes with progressive moisture cycles, this model allows the prediction of this evolution for the modelling of earthworks over the years, when subject to changing climatic conditions, without the need for an extensive experimental program.
DOI: 10.6084/m9.figshare.22309726
title: Read Mapping Forward Simulation for Variant Calling

description: Forward simulation of a population of 20 individuals for the purposes of read mapping practical teaching
DOI: 10.6084/m9.figshare.22309726.v1
title: Read Mapping Forward Simulation for Variant Calling

description: Forward simulation of a population of 20 individuals for the purposes of read mapping practical teaching
DOI: 10.15128/r1c534fn998
title: All for one and one for all: proverbs, prosociality, and the evolution of cultural norms [dataset]

description: Proverbs have a deep history and wide cultural use. The simplicity and metaphorical nature of proverbs obfuscates the importance of these pithy statements of wisdom in cultural evolution. This systematic and exploratory study looks at the part that proverbs play within the context of evolutionary group behaviours across cultures. The data for the exploration came from the most well-known proverbs in six countries and an International Database of Proverb Types, the Matti Kuusi database. These data were systematically collected and analysed, mapping each candidate proverb against one or more of nine evolutionary behaviours. The chosen proverbs formed the data for analysis in the three study streams. Stream one used the Matti Kussi database of proverbs as the data feed to explore the cultural overlap of proverbs that reflect evolutionary behaviour across six world regions. Stream two performed a similar task but used proverb data from the most commonly known proverbs (paremiological minimum) of six countries. A third stream was temporal, using the proverb data from the first two streams to explore if proverb frequency changes during times of conflict, specifically World War Two. The results of stream two showed compelling evidence of cross-cultural use of proverbs that map to evolutionary behaviours. The results from stream one were less compelling; however, this may be due to the unverified data from the Matti Kuusi database, as opposed to the more systematically verified data from the paremiological minimum. Stream three needs to be explored further as the analysis is highly qualitative, with results that open more questions than answers. Future, more quantitative work that explores the temporal aspects of proverbs within a cultural evolution frame, would provide another dimension to the work. As the proverbs tell us: “The truth will out.” “Many hands make light work.”
description: Proverbs were collected using two data sources: 1. Paremiological minimum from six countries 2. The Matti Kuusi database The data sources were analysed using classification methods and research into evolutionary behaviours to isolate a series of proverbs that reflected known evolutionary behaviours. These isolated proverbs were then rated by three individuals to assign one or more of nine evolutionary behaviours to each proverb. These data were used to output graphical representations of the frequency of use across geographic regions. squared test of independence was used to assess the null hypothesis that the data was country dependent.
DOI: 10.6084/m9.figshare.24598698
title: <b>Late Neogene Oroclinal Bending of the Mazatagh Thrust Belt</b>

description: paleomagnetic rotations along the Mazatagh and around the Pamir salient
DOI: 10.6084/m9.figshare.24598698.v1
title: <b>Late Neogene Oroclinal Bending of the Mazatagh Thrust Belt</b>

description: paleomagnetic rotations along the Mazatagh and around the Pamir salient
DOI: 10.5281/zenodo.10167758
title: Data from: Direct and higher-order interactions in plant communities under increasing weather persistence

description: ABSTRACT: Climate change is increasing the weather persistence in the midlatitudes, prolonging both dry and wet spells compared to historic averages. These newly emerging environmental conditions destabilize plant communities, but the role of species interactions in this process is unknown. Here, we tested how direct and higher-order interactions (HOIs) between species may change in synthesized grassland communities along an experimental gradient of increasing persistence in precipitation regimes. Our results indicate that species interactions (including HOIs) are an important determinant of plant performance under increasing weather persistence. Out of the 12 most parsimonious models predicting species productivity, 75 % contained significant direct interactions and 92 % significant HOIs. Inclusion of direct interactions or HOIs respectively tripled or quadrupled the explained variance of target species biomass compared to null models only including the precipitation treatment. Drought dominated the plant responses, with longer droughts increasing direct competition but also HOI-driven facilitation. Despite these counteracting changes, drought intensified net competition. Grasses were generally more involved in competitive interactions whereas legumes had a stronger affinity for facilitative interactions. Under longer drought, species affinity for nutrient rich or wet environments resulted in more negative direct interactions or HOIs, respectively. We conclude that higher-order interactions, crucially depending on species identity, only partially stabilize community dynamics under increasing weather persistence
DOI: 10.5281/zenodo.10167759
title: Data from: Direct and higher-order interactions in plant communities under increasing weather persistence

description: ABSTRACT: Climate change is increasing the weather persistence in the midlatitudes, prolonging both dry and wet spells compared to historic averages. These newly emerging environmental conditions destabilize plant communities, but the role of species interactions in this process is unknown. Here, we tested how direct and higher-order interactions (HOIs) between species may change in synthesized grassland communities along an experimental gradient of increasing persistence in precipitation regimes. Our results indicate that species interactions (including HOIs) are an important determinant of plant performance under increasing weather persistence. Out of the 12 most parsimonious models predicting species productivity, 75 % contained significant direct interactions and 92 % significant HOIs. Inclusion of direct interactions or HOIs respectively tripled or quadrupled the explained variance of target species biomass compared to null models only including the precipitation treatment. Drought dominated the plant responses, with longer droughts increasing direct competition but also HOI-driven facilitation. Despite these counteracting changes, drought intensified net competition. Grasses were generally more involved in competitive interactions whereas legumes had a stronger affinity for facilitative interactions. Under longer drought, species affinity for nutrient rich or wet environments resulted in more negative direct interactions or HOIs, respectively. We conclude that higher-order interactions, crucially depending on species identity, only partially stabilize community dynamics under increasing weather persistence
DOI: 10.5281/zenodo.10167695
title: Redistribution of the Natura 2000 habitat map of Flanders (version 2023)

description: This is a redistribution of a subdataset of the data source Biologische Waarderingskaart en Natura 2000 Habitatkaart - Toestand 2023, originally published by the Research Institute for Nature and Forest (INBO) (De Saeger et al. 2023; see also De Saeger et al. 2017) and distributed by 'Digitaal Vlaanderen' under a CC-BY compatible license. It was redistributed in order to make it more easily findable and useful (in the long run) for reproducible, analytical workflows on Flemish Natura 2000 habitats and regionally important biotopes.
The subdataset is a shapefile of geospatial polygons of BWK and Natura 2000 habitat types in the Flemish Region, identical to the shapefile 'BwkHab' in the original data source.
description: This is a redistribution of data originally distributed by 'Digitaal Vlaanderen'.
DOI: 10.5281/zenodo.4428002
title: Redistribution of the Natura 2000 habitat map of Flanders (version 2020)

description: This is a <em>redistribution</em> of a <em>subdataset</em> of the data source Biologische Waarderingskaart en Natura 2000 Habitatkaart - Toestand 2020, originally published by the Research Institute for Nature and Forest (INBO) (De Saeger et al. 2020; see also De Saeger et al. 2017) and distributed by 'Informatie Vlaanderen' under a CC-BY compatible license. It was redistributed in order to make it more easily findable and useful (in the long run) for reproducible, analytical workflows on Flemish Natura 2000 habitats and regionally important biotopes. The subdataset is a shapefile of geospatial polygons of BWK and Natura 2000 habitat types in the Flemish Region, identical to the shapefile <code>BwkHab</code> in the original data source.
description: This is a redistribution of data originally distributed by 'Informatie Vlaanderen'.
description: {"references": ["De Saeger S., Guelinckx R., Oosterlynck P., De Bruyn A., Debusschere K., Dhaluin P., Erens R., Hendrickx P., Hennebel D., Jacobs I., Kumpen M., Opdebeeck J., Spanhove T., Tamsyn W., Van Oost F., Van Dam G., Van Hove M., Wils C. & Paelinckx D. (red.) (2020). Biologische Waarderingskaart en Natura 2000 Habitatkaart, uitgave 2020. Rapporten van het Instituut voor Natuur- en Bosonderzoek 2000 (35). Instituut voor Natuur- en Bosonderzoek, Brussel. https://doi.org/10.21436/inbor.18840851.", "De Saeger S., Oosterlynck P. & Paelinckx D. (2017). The Biological Valuation Map (BVM): a field-driven survey of land cover and vegetation in the Flemish Region of Belgium. Documents phytosociologiques - Actes du colloque de Saint-Mand\u00e9 2012 - Prodrome et cartographie des v\u00e9g\u00e9tations de France - 2017 - Vol. 6: 372-382."]}