cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hr5h2hcgg4.11
title: Chorological data for the main European woody species

description: The data are organized as a set of ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) mapping the distribution ranges of the main European tree and shrub species. For each species and in some cases subspecies, one or more shapefiles have been created containing: a) polygon features (name suffix “plg”), which define continuous areas of occupancy of the species range and b) point features (name suffix “pnt”), which identify more fragmented and isolated populations. For species with reported synanthropic occurrences outside the natural range, an additional point and/or polygon shapefile has also been created (suffix “syn”). 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). Finally, an accompanying text document is included with the data, which provides more details on methodology and a list of all mapped species with related file names, taxonomical delimitation of the mapped species and references used to compile the respective chorological dataset.
DOI: 10.17632/hr5h2hcgg4.12
title: Chorological data for the main European woody species

description: The data are organized as a set of ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) mapping the distribution ranges of the main European tree and shrub species. For each species and in some cases subspecies, one or more shapefiles have been created containing: a) polygon features (name suffix “plg”), which define continuous areas of occupancy of the species range and b) point features (name suffix “pnt”), which identify more fragmented and isolated populations. For species with reported synanthropic occurrences outside the natural range, an additional point and/or polygon shapefile has also been created (suffix “syn”). 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). Finally, an accompanying text document is included with the data, which provides more details on methodology and a list of all mapped species with related file names, taxonomical delimitation of the mapped species and references used to compile the respective chorological dataset.
DOI: 10.17632/hr5h2hcgg4.13
title: Chorological data for the main European woody species

description: The data are organized as a set of ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) mapping the distribution ranges of the main European tree and shrub species. For each species and in some cases subspecies, one or more shapefiles have been created containing: a) polygon features (name suffix “plg”), which define continuous areas of occupancy of the species range and b) point features (name suffix “pnt”), which identify more fragmented and isolated populations. For species with reported synanthropic occurrences outside the natural range, an additional point and/or polygon shapefile has also been created (suffix “syn”). 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). Finally, an accompanying text document is included with the data, which provides more details on methodology and a list of all mapped species with related file names, taxonomical delimitation of the mapped species and references used to compile the respective chorological dataset.
DOI: 10.17632/hr5h2hcgg4.8
title: Chorological data for the main European woody species

description: The data are organized as a set of ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) mapping the distribution ranges of the main European tree and shrub species. For each species and in some cases subspecies, one or more shapefiles have been created containing: a) polygon features (name suffix “plg”), which define continuous areas of occupancy of the species range and b) point features (name suffix “pnt”), which identify more fragmented and isolated populations. For species with reported synanthropic occurrences outside the natural range, an additional point and/or polygon shapefile has also been created (suffix “syn”). 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). Finally, an accompanying text document is included with the data, which provides more details on methodology and a list of all mapped species with related file names, taxonomical delimitation of the mapped species and references used to compile the respective chorological dataset.
DOI: 10.17632/hr5h2hcgg4.9
title: Chorological data for the main European woody species

description: The data are organized as a set of ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) mapping the distribution ranges of the main European tree and shrub species. For each species and in some cases subspecies, one or more shapefiles have been created containing: a) polygon features (name suffix “plg”), which define continuous areas of occupancy of the species range and b) point features (name suffix “pnt”), which identify more fragmented and isolated populations. For species with reported synanthropic occurrences outside the natural range, an additional point and/or polygon shapefile has also been created (suffix “syn”). 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). Finally, an accompanying text document is included with the data, which provides more details on methodology and a list of all mapped species with related file names, taxonomical delimitation of the mapped species and references used to compile the respective chorological dataset.
DOI: 10.17632/hr5h2hcgg4.2
title: Chorological data for the main European woody species

description: The data are organized as a set of ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) mapping the distribution ranges of the main European tree and shrub species. For each species and in some cases subspecies, one or more shapefiles have been created containing: a) polygon features (name suffix “plg”), which define continuous areas of occupancy of the species range and b) point features (name suffix “pnt”), which identify more fragmented and isolated populations. For species with reported synanthropic occurrences outside the natural range, an additional point and/or polygon shapefile has also been created (suffix “syn”). The polygon borders delimiting the range have been generalized across the mainland and sea boundaries. Clipping to a specific coastline has been avoided, as this can vary considerably in its geometry depending on scale and precision of the respective source. This offers the possibility to mask sea areas, or to clip and extract the species’ terrestrial range parts using GIS data layers of the users’ choice. Finally, an accompanying text document is included with the data, which provides more details on methodology and a list of all mapped species with related file names, taxonomical delimitation of the mapped species and references used to compile the respective chorological dataset.
DOI: 10.17632/hr5h2hcgg4.3
title: Chorological data for the main European woody species

description: The data are organized as a set of ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) mapping the distribution ranges of the main European tree and shrub species. For each species and in some cases subspecies, one or more shapefiles have been created containing: a) polygon features (name suffix “plg”), which define continuous areas of occupancy of the species range and b) point features (name suffix “pnt”), which identify more fragmented and isolated populations. For species with reported synanthropic occurrences outside the natural range, an additional point and/or polygon shapefile has also been created (suffix “syn”). The polygon borders delimiting the range have been generalized across the mainland and sea boundaries. Clipping to a specific coastline has been avoided, as this can vary considerably in its geometry depending on scale and precision of the respective source. This offers the possibility to mask sea areas, or to clip and extract the species’ terrestrial range parts using GIS data layers of the users’ choice. Finally, an accompanying text document is included with the data, which provides more details on methodology and a list of all mapped species with related file names, taxonomical delimitation of the mapped species and references used to compile the respective chorological dataset.
DOI: 10.17632/hr5h2hcgg4.4
title: Chorological data for the main European woody species

description: The data are organized as a set of ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) mapping the distribution ranges of the main European tree and shrub species. For each species and in some cases subspecies, one or more shapefiles have been created containing: a) polygon features (name suffix “plg”), which define continuous areas of occupancy of the species range and b) point features (name suffix “pnt”), which identify more fragmented and isolated populations. For species with reported synanthropic occurrences outside the natural range, an additional point and/or polygon shapefile has also been created (suffix “syn”). The polygon borders delimiting the range have been generalized across the mainland and sea boundaries. Clipping to a specific coastline has been avoided, as this can vary considerably in its geometry depending on scale and precision of the respective source. This offers the possibility to mask sea areas, or to clip and extract the species’ terrestrial range parts using GIS data layers of the users’ choice. Finally, an accompanying text document is included with the data, which provides more details on methodology and a list of all mapped species with related file names, taxonomical delimitation of the mapped species and references used to compile the respective chorological dataset.
DOI: 10.17632/hr5h2hcgg4.5
title: Chorological data for the main European woody species

description: The data are organized as a set of ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) mapping the distribution ranges of the main European tree and shrub species. For each species and in some cases subspecies, one or more shapefiles have been created containing: a) polygon features (name suffix “plg”), which define continuous areas of occupancy of the species range and b) point features (name suffix “pnt”), which identify more fragmented and isolated populations. For species with reported synanthropic occurrences outside the natural range, an additional point and/or polygon shapefile has also been created (suffix “syn”). The polygon borders delimiting the range have been generalized across the mainland and sea boundaries. Clipping to a specific coastline has been avoided, as this can vary considerably in its geometry depending on scale and precision of the respective source. This offers the possibility to mask sea areas, or to clip and extract the species’ terrestrial range parts using GIS data layers of the users’ choice. Finally, an accompanying text document is included with the data, which provides more details on methodology and a list of all mapped species with related file names, taxonomical delimitation of the mapped species and references used to compile the respective chorological dataset.
DOI: 10.17632/hr5h2hcgg4.7
title: Chorological data for the main European woody species

description: The data are organized as a set of ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) mapping the distribution ranges of the main European tree and shrub species. For each species and in some cases subspecies, one or more shapefiles have been created containing: a) polygon features (name suffix “plg”), which define continuous areas of occupancy of the species range and b) point features (name suffix “pnt”), which identify more fragmented and isolated populations. For species with reported synanthropic occurrences outside the natural range, an additional point and/or polygon shapefile has also been created (suffix “syn”). 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). Finally, an accompanying text document is included with the data, which provides more details on methodology and a list of all mapped species with related file names, taxonomical delimitation of the mapped species and references used to compile the respective chorological dataset.
DOI: 10.17632/c8443pyd4c.1
title: Raw Western blots from Bastié et al. "Sister chromatid cohesion halts DNA loop expansion"

description: Raw western blot images for Figure 1, 2, 3 and S1 of the manuscript. A pdf file summarize the data.
DOI: 10.17632/hr5h2hcgg4.1
title: Chorological maps for the main European woody species

description: The data are organized as a set of ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) mapping the distribution ranges of the main European tree and shrub species. For each species and in some cases subspecies, one or more shapefiles have been created containing: a) polygon features (name suffix “plg”), which define continuous areas of occupancy of the species range and b) point features (name suffix “pnt”), which identify more fragmented and isolated populations. For species with reported synanthropic occurrences outside the natural range, an additional point and/or polygon shapefile has also been created (suffix “syn”). The polygon borders delimiting the range have been generalized across the mainland and sea boundaries. Clipping to a specific coastline has been avoided, as this can vary considerably in its geometry depending on scale and precision of the respective source. This offers the possibility to mask sea areas, or to clip and extract the species’ terrestrial range parts using GIS data layers of the users’ choice. Finally, an accompanying text document is included with the data, which provides more details on methodology and a list of all mapped species with related file names, taxonomical delimitation of the mapped species and references used to compile the respective chorological dataset.
DOI: 10.17632/4rnc4n3zjd.1
title: Mesh Vs RTL project

description: Purpose: To compare reinforced tension line (RTL) and mesh techniques in the onlay position for abdominal wound dehiscence (AWD) prevention in a noninferiority clinical trial.
Methods: Patients &gt;18 years old who underwent midline laparotomy regardless of the background diagnosis, who were urgent or scheduled, or who were considered high risk according to a score equal to or greater than 4 on the modified Rotterdam risk scale were included. The primary outcome was the incidence of AWD within the first 30 days post-surgery, and the secondary outcome was the incidence of complications reported as surgical site occurrence (SSO).
Results: In total, 239 patients were included: 121 in the mesh group and 118 in the RTL group. Five (4.1%) of the 121 patients in the mesh group and 7 (5.9%) of the 118 patients in the RTL group presented with AWD (p= 0.56, RR=0.69, 95% CI=0.22-2.13) in the per-protocol analysis. The median time of presentation was 6 days, and all AWD patients were clinically diagnosed. The 95% CI (-0.0567, 0.0231) for the difference in incidence between the two groups was entirely within the predefined noninferiority margin of 5%. The incidence of complications was greater, but not significantly so, in the mesh group (27, 22.3%) than in the RTL group (16, 12.8%).
Conclusions: Use of the RTL technique for preventing AWD injury is not inferior to the use of mesh in the onlay position, nor does it increase the risk of complications. This study was registered on clinicaltrials.gov: Mesh-RTL Project (NCT04134455).
DOI: 10.17632/xznv43bvjp.1
title: Replication package for: "Global and local technical changes: A new decomposition of the Malmquist Productivity Index using virtual units"

description: This replication package contains the files required for replicating the results presented in the paper “Global and local technical changes: A new decomposition of the Malmquist Productivity Index using virtual units” co-authored by Juan Aparicio and Daniel Santín and accepted for publication by January 2024 in Economic Modelling. 
The package contains: 
- The well-known database of 42 Swedish pharmacies between 1980 and 1989 previously analyzed in the seminal paper of Färe et al. (1992). They showed how to implement and decompose the Malmquist productivity index (MPI) using data envelopment analysis (DEA). This decomposition of total factor productivity changes consists of two terms; the catching-up effect or efficiency change and the frontier-shift effect or technical change (TC). This dataset was also used in other seminal papers as in Balk and Althin (1996), and Althin (2001).
- R code with the data in Table 1 and the steps for doing the numerical analysis and achieving the results showed in Table 2 and Fig. 4. It also allows to obtain results in Table 3 changing K.
- R code with the steps for doing the numerical analysis and obtaining GTC and LTC reproducing Tables 4 and 5 and Fig. 5. 
- A README file basic instructions for running the R scripts and the definition of variables (for more details see the papers above).

References:
Althin, R. (2001). Measurement of productivity changes: Two Malmquist index approaches. Journal of Productivity Analysis, 16(2), 107-128.
Balk, B. M., & Althin, R. (1996). A new, transitive productivity index. Journal of Productivity Analysis, 7(1), 19-27.
Färe, R., Grosskopf, S., Lindgren, B., & Roos, P. (1992). Productivity changes in Swedish pharmacies 1980-1989: A non-parametric Malmquist approach. Journal of Productivity Analysis, 3(1), 85-101.
DOI: 10.5281/zenodo.10616930
title: Data and scripts for the article entitled "High temperature sensitivity of Arctic isoprene emissions explained by sedges"

description: The package includes the data and scripts for generating the figures for the paper entitled "High temperature sensitivity of Arctic isoprene emissions explained by sedges".
DOI: 10.15151/esrf-es-1451006111
title: Southampton, Bristol, Cardiff, Exeter, KCL, UCL Royal Free Block Allocation Group (BAG)

description: This BAG coordinates activities of groups from the South-West of the UK. The focus of the bag is on projects in Immunology, enzymology, and transcriptional regulation. A particular strength are the macromolecular complexes that several of the groups target. The activities in rational protein design (Bristol) and in cancer immunology and enzyme mechanism (Southampton) are particular highlights, with high profile publication. Cardiff has joined the bag as a new member in 2022. Several bag members are active in using facilities such as icOS and ID29 serial as pointed out in the proposal. NB although ID29 is a separate proposal at present, we have a new member with the University of Essex, expected to join this bag when ID29 is part of the bag proposal.
DOI: 10.15151/esrf-es-1497396285
title: Grain mapping of NiMnGa magnetic shape memory alloys

description: Grain mapping of NiMnGa magnetic shape memory alloys
DOI: 10.15151/esrf-es-1421649706
title: Structural analysis of historical materials

description: This proposal is a continuation of the HG-172 BAG experiment, a new access route to the ESRF structural analysis capacities for the Heritage Science community. The upgrade to the ESRF-EBS was the triggering element to propose a single block allocation group (BAG). Two complementary analytical configurations are used in the BAG: High angular resolution XRD (ID22) and High lateral resolution XRD (ID13). The combination of these two beamlines generates precious clues on the origin, processing and degradation of historical materials. By relying on the new analytical capacities of the EBS combined with optimized access route, sample preparation procedures and processing pipelines, the Heritage BAG has proven to be a very efficient way to increase the output of the Cultural Heritage community, to reinforce a scientific network of expert users structured around the ESRF, and to initiate new European collaborations in Heritage Science.
DOI: 10.15151/esrf-es-1432053928
title: High pressure study of the interplay between charge and magnetic ortdering in SmNiC2

description: Charge density wave (CDW) ordering in SmNiC2 is followed at lower temperatures by the ferromagnetic (FM) ordering of the Sm moments. Below the FM onset, the CDW order is fully suppressed, evidencing a strong interplay between the two types of ordering. The CDW suppression was attributed to the weakening of the Fermi surface nesting conditions, which are relevant to the formation of the CDW, in the FM state. In contrast, ab initio calculations indicate that hydrostatic pressure (HP) improves the nesting conditions and therefore favours the CDW formation. HP electrical resistivity experiments showed that the CDW onset increases under HP, while parallely the FM transition temperature decreases, and suggested the presence of a hidden FM quantum critical point. Here we will explore directly the pressure evolution of charge ordering and its interplay with magnetism in this system, while monitoring its crystal structure, through a HP x-ray diffraction study of SmNiC2 single crystals.