cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zvezcm
title: Occurrence Download

description: A dataset containing 34514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Issue is Coordinate rounded",
 {
 "or" : [
 "Month is March",
 "Month is April",
 "Month is May",
 "Month is June",
 "Month is July",
 "Month is August",
 "Month is September"
 ]
 },
 "Year 1980-2019",
 "HasCoordinate is true",
 "TaxonKey is Poecile hudsonicus (J.R.Forster, 1772)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 34514 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041278-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u4734d
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fragaria ×neglecta Lindem.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 36 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084351-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4w8fa5
title: Occurrence Download

description: A dataset containing 511555 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bellis perennis L."
 ]
}

 The dataset includes 511555 records from 1122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104862-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dut6yn
title: Occurrence Download

description: A dataset containing 4834 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.44716 36.22906,-80.27514 40.80857,-101.13124 35.56696,-104.60725 30.32535,-99.47599 23.64919,-81.59934 20.61458,-73.37828 32.14612,-71.44716 36.22906))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus virginiana Mill."
 ]
}

 The dataset includes 4834 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259113-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpdnp3
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tilia henryana Szyszyl.)",
 "HasCoordinate is true",
 "Geometry POLYGON ((25.280527 74.385866, 34 74.516506, 34 35.773364,\n 32.861584 35.588421, 26.375071 34.609982, 22.816449 34.504241, 13.627633 36.690862,\n 10.001544 38.719154, -0.356862 36.404548, -9.323257 35.627079, -12.292937 57.408982,\n 25.280527 74.385866))"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035983-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xfmex
title: Occurrence Download

description: A dataset containing 5954 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euterpe oleracea Mart.",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5954 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263258-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddzq9w
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Manglietiastrum sinicum Y.W.Law"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011315-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4fwq5e
title: Occurrence Download

description: A dataset containing 3093 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-121.19531 45.25825,-129.87404 44.2168,-119.37278 26.64236,-113.25427 29.76671,-121.19531 45.25825))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus wislizeni A.DC."
 ]
}

 The dataset includes 3093 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259114-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6xxrg
title: Occurrence Download

description: A dataset containing 725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tsuga canadensis (L.) Carrière)",
 "HasCoordinate is true",
 "Geometry POLYGON ((25.280527 74.385866, 34 74.516506, 34 35.773364,\n 32.861584 35.588421, 26.375071 34.609982, 22.816449 34.504241, 13.627633 36.690862,\n 10.001544 38.719154, -0.356862 36.404548, -9.323257 35.627079, -12.292937 57.408982,\n 25.280527 74.385866))"
 ]
}

 The dataset includes 725 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035985-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pfsx8b
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Masdevallia phlogina Luer"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020261-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cnu657
title: Occurrence Download

description: A dataset containing 375889 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stachys sylvatica L.",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 375889 records from 1436 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259123-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5dv1d133
title: MassIVE MSV000097418 - Lipidomics data of fermenter bacterial experiments.
title: These datasets contain LC-MS/MS data from lipidomics analysis of bacterial fermenter experiments in ESI (-)
DOI: 10.15468/dl.sesenq
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Spain",
 "DatasetKey is EEIKO Base de datos sobre plantas invasoras",
 "Geometry POLYGON((-7.3784 37.38195,-7.39776 37.10451,-6.93307 37.15082,-6.70073 36.94993,-6.52647 36.74851,-6.08114 36.07851,-5.65517 35.90619,-5.32602 35.96889,-5.17112 36.2036,-4.90005 36.45318,-4.59026 36.42202,-4.14142 36.64809,-3.9967 36.57889,-3.66088 36.70196,-3.2842 36.67175,-2.65406 36.54656,-2.06808 36.59434,-1.89894 36.71748,-1.72759 37.16851,-2.28618 36.93446,-2.82832 36.82605,-3.6028 36.84154,-4.24174 36.91898,-4.76452 36.733,-5.30666 36.48432,-5.63581 36.21922,-5.92624 36.53101,-6.11986 36.9654,-6.87498 37.33579,-7.3784 37.38195))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024591-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14699511
title: Data: Optimization of the drug-induced cholestasis index based on advanced modeling for predicting liver toxicity
DOI: 10.5281/zenodo.14699512
title: Data: Optimization of the drug-induced cholestasis index based on advanced modeling for predicting liver toxicity
DOI: 10.5281/zenodo.15074594
title: Dative Predicatives: Russian in the Slavic Perspective

description: This guest lecture was given in September 2018 at the Fran Ramovš Institute of the Slovenian Language, Ljubljana (ZRC SAZU). The topic of this lecture is traditional for a research line in Slavic studies devoted to copular non-agreeing predicatives. I share the fascination of Lev Shcherba, Victor Vinogradov and their followers with this amazing class of forms but unlike them do not believe that it consitutes a separate part of speech in Russian or any other Slavic language. Moreover, I argue that an analysis of Slavic predicatives in terms of part of speech classification does not capture their semantics-to-grammar interface, contrary to Shcherba's initial claim (1928). Meanwhile, dative-predicative structures (DPS) constitute the core of the alleged part-of-speech dubbed 'category-of-state' by Shcherba, and the non-agreeing copular predicatives that license the DPS construction indeed express the categorial meaning of stage-level predicates (SLP). In this context, Nikolai Pospelov (1955) was quite right, when he claimed that the special feature of Russian (also Ukrainian, Belorussian, Serbian, Slovenian, Bulgarian and Macedonian predicatives is the total lack of agreeing morphology. Dative predicatives cannot select nominative subjects, and in languages like Modern Russian tbey do not select nominative objects either. The technical difficulty with this approach is that there exist morphologically ambivalent forms that represent pairs of the type 'morphologically defective adjectival head licensing the dative-nominative construction' vs 'non-agreeing predicative'.

Comment 1. The analysis outlined here has been presented in detail in the following papers of mine: Zimmerling (1998, 2010, 2016, 2017, 2018ab, 2021, 2022). Similar ideas have been proposed by other scholars, first of all, Alla Gradinarova, Elena Ivanova, Sergej Say and Alexander Letuchiy. No one else, except of myself is responsible for the shortcomings.  

Comment 2. In 2018, I organized the panel of dative predicatives ( = 'thematic block') at the Slavic congress in Belgrad. The panel papers along with the papers of two other scholars were published in the special thematic issue of the journal "Russkij jazyk za rubezhom", see Gradinarova 2018, Ivanova 2018, Petrova 2018, Mitkovska 2018, Maric & Kerkez 2018, Uhlik 2018, Kulinich 2018, Bashmakova 2018 in the Reference.

Comment 3. In this presentation, I do not use the semantic term 'Davidsonian state' (D-state) and the notion of spatiotemporality, but I stick to them in Zimmerling 2021, 2022, 2024. The interpretation is similar. Mind that the standard version of Davidson's theory excludes quantification of D-states, so one has to modify his theory to account for the quantification of intensional states: they are spatiotemporal in the sense that the referential subject-of-state (and dative subjects are typically referential in the Slavic languages and elsewhere) is always located somewhere.
DOI: 10.5281/zenodo.15074595
title: Dative Predicatives: Russian in the Slavic Perspective

description: This guest lecture was given in September 2018 at the Fran Ramovš Institute of the Slovenian Language, Ljubljana (ZRC SAZU). The topic of this lecture is traditional for a research line in Slavic studies devoted to copular non-agreeing predicatives. I share the fascination of Lev Shcherba, Victor Vinogradov and their followers with this amazing class of forms but unlike them do not believe that it consitutes a separate part of speech in Russian or any other Slavic language. Moreover, I argue that an analysis of Slavic predicatives in terms of part of speech classification does not capture their semantics-to-grammar interface, contrary to Shcherba's initial claim (1928). Meanwhile, dative-predicative structures (DPS) constitute the core of the alleged part-of-speech dubbed 'category-of-state' by Shcherba, and the non-agreeing copular predicatives that license the DPS construction indeed express the categorial meaning of stage-level predicates (SLP). In this context, Nikolai Pospelov (1955) was quite right, when he claimed that the special feature of Russian (also Ukrainian, Belorussian, Serbian, Slovenian, Bulgarian and Macedonian predicatives is the total lack of agreeing morphology. Dative predicatives cannot select nominative subjects, and in languages like Modern Russian tbey do not select nominative objects either. The technical difficulty with this approach is that there exist morphologically ambivalent forms that represent pairs of the type 'morphologically defective adjectival head licensing the dative-nominative construction' vs 'non-agreeing predicative'.

Comment 1. The analysis outlined here has been presented in detail in the following papers of mine: Zimmerling (1998, 2010, 2016, 2017, 2018ab, 2021, 2022). Similar ideas have been proposed by other scholars, first of all, Alla Gradinarova, Elena Ivanova, Sergej Say and Alexander Letuchiy. No one else, except of myself is responsible for the shortcomings.  

Comment 2. In 2018, I organized the panel of dative predicatives ( = 'thematic block') at the Slavic congress in Belgrad. The panel papers along with the papers of two other scholars were published in the special thematic issue of the journal "Russkij jazyk za rubezhom", see Gradinarova 2018, Ivanova 2018, Petrova 2018, Mitkovska 2018, Maric & Kerkez 2018, Uhlik 2018, Kulinich 2018, Bashmakova 2018 in the Reference.

Comment 3. In this presentation, I do not use the semantic term 'Davidsonian state' (D-state) and the notion of spatiotemporality, but I stick to them in Zimmerling 2021, 2022, 2024. The interpretation is similar. Mind that the standard version of Davidson's theory excludes quantification of D-states, so one has to modify his theory to account for the quantification of intensional states: they are spatiotemporal in the sense that the referential subject-of-state (and dative subjects are typically referential in the Slavic languages and elsewhere) is always located somewhere.
DOI: 10.18150/sciuje
title: Raw data obtained as a result of a project: The effect of cryopreservation techniques on (epi)genetic stability of interspecific gentian somatic hybrids

description: Raw data obtained as a result of AFLP and MSAP analyses performed in frame of a project NCN MINIATURA-7 "The effect of cryopreservation techniques on (epi)genetic stability of interspecific gentian somatic hybrids".
DOI: 10.15468/dl.buh8hb
title: Occurrence Download

description: A dataset containing 5980 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Elaeagnus pungens Thunb., Elaeagnus pungens Thunb. ex A.Murray)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5980 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024593-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11147626
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.5281/zenodo.14264611
title: Accompanying data for the paper "Two-scale concurrent simulations for crack propagation using FEM-DEM bridging coupling" : Mode-II

description: Contributions



Manon Voisin--Leprince: Contributed to writing scripts, launching simulations, and analyzing results

Joaquin Garcia-Suarez: Contributed to helping analyze results

Guillaume Anciaux: Contributed to supervising the project

Jean-François Molinari: Contributed to supervising the project


All authors reviewed the results and contributed to the manuscript

Funding sources



Grant 200021_197152, entitled  Wear across scales by the Swiss National Science Foundation. 


FEM-DEM coupling applications

The data folder contains the Mode_II folder which is composed of:





mode_II: Contains the scripts and data of the section "Surface wear during relative sliding" presented in the paper. Only data for the largest case is not provided.




post_processing_mode_II: Contains the files to conduct the post processing relative to the section "Surface wear during relative sliding"



Additional README.md files are provided in the subfolders

The notebook folder contains scripts to plot the results of the section "Surface wear during relative sliding".
DOI: 10.5281/zenodo.14264612
title: Accompanying data for the paper "Two-scale concurrent simulations for crack propagation using FEM-DEM bridging coupling" : Mode-II

description: Contributions



Manon Voisin--Leprince: Contributed to writing scripts, launching simulations, and analyzing results

Joaquin Garcia-Suarez: Contributed to helping analyze results

Guillaume Anciaux: Contributed to supervising the project

Jean-François Molinari: Contributed to supervising the project


All authors reviewed the results and contributed to the manuscript

Funding sources



Grant 200021_197152, entitled  Wear across scales by the Swiss National Science Foundation. 


FEM-DEM coupling applications

The data folder contains the Mode_II folder which is composed of:





mode_II: Contains the scripts and data of the section "Surface wear during relative sliding" presented in the paper. Only data for the largest case is not provided.




post_processing_mode_II: Contains the files to conduct the post processing relative to the section "Surface wear during relative sliding"



Additional README.md files are provided in the subfolders

The notebook folder contains scripts to plot the results of the section "Surface wear during relative sliding".
DOI: 10.5281/zenodo.15053160
title: Data for "Spatial Transcriptomics highlights B cells as key contributors to a complete and durable response to chemo-immunotherapy in a resectable NSCLC patient" case report

description: 10X Visium FFPE data - Lung primary tumor (B1) + Brain metastasis (A1)
DOI: 10.5281/zenodo.15053161
title: Data for "Spatial Transcriptomics highlights B cells as key contributors to a complete and durable response to chemo-immunotherapy in a resectable NSCLC patient" case report

description: 10X Visium FFPE data - Lung primary tumor (B1) + Brain metastasis (A1)
DOI: 10.4121/db7965fc-9741-4a4c-a765-4e627ad184af
title: Data underlying the MSc thesis: Combining LLMs With BDI Systems For Training Children's Helpline Counsellors

description: This dataset contains the experiment data and analysis scripts where we evaluate our integrated system. We perform a within-subjects experiment between a rule-based system and the integrated system with 37 participants. We collect data about users' experiences with both systems and perform numerical and thematic analyses on the collected data to test our hypotheses. The data contains the anonymised raw and processed data, scripts for processing the data, and scripts for analysing the data.
DOI: 10.4121/db7965fc-9741-4a4c-a765-4e627ad184af.v1
title: Data underlying the MSc thesis: Combining LLMs With BDI Systems For Training Children's Helpline Counsellors

description: This dataset contains the experiment data and analysis scripts where we evaluate our integrated system. We perform a within-subjects experiment between a rule-based system and the integrated system with 37 participants. We collect data about users' experiences with both systems and perform numerical and thematic analyses on the collected data to test our hypotheses. The data contains the anonymised raw and processed data, scripts for processing the data, and scripts for analysing the data.
DOI: 10.4121/ce73c74f-4476-4a79-9cc6-c9d54debccc0
title: Dataset of AFM data for "Cadmium-free electron transport layers for hydrothermally processed semitransparent Sb2S3 solar cells"

description: This dataset contains raw data of AFM analysis from the publication “Cadmium-free electron transport layers for hydrothermally processed semitransparent Sb2S3 solar cells”, published in Nano Energy, Volume 134, 2025, 110539, ISSN 2211-3282, https://doi.org/10.1016/j.nanoen.2024.110539. The data was collected at Luleå University of Technology (Luleå, Sweden). All data are provided under CC0 license. The dataset includes atomic force microscopy data (.mdt format). Dzmitry Kharytonau gratefully acknowledges the financial support of the internship at Luleå University of Technology and AFM measurements by the National Science Centre (Poland) under research Grant Sonatina no. 2021/40/C/ST5/00266.
DOI: 10.4121/ce73c74f-4476-4a79-9cc6-c9d54debccc0.v1
title: Dataset of AFM data for "Cadmium-free electron transport layers for hydrothermally processed semitransparent Sb2S3 solar cells"

description: This dataset contains raw data of AFM analysis from the publication “Cadmium-free electron transport layers for hydrothermally processed semitransparent Sb2S3 solar cells”, published in Nano Energy, Volume 134, 2025, 110539, ISSN 2211-3282, https://doi.org/10.1016/j.nanoen.2024.110539. The data was collected at Luleå University of Technology (Luleå, Sweden). All data are provided under CC0 license. The dataset includes atomic force microscopy data (.mdt format). Dzmitry Kharytonau gratefully acknowledges the financial support of the internship at Luleå University of Technology and AFM measurements by the National Science Centre (Poland) under research Grant Sonatina no. 2021/40/C/ST5/00266.
DOI: 10.60566/jmwkq-76107
title: CARTOVEGE 2 Input Data

description: The CARTOVEGE² project utilizes a diverse range of satellite, drone, climatic, and ecological datasets to enhance habitat mapping and biodiversity monitoring.
Satellite Data (High-Resolution Remote Sensing)
Optical Imaging (Multispectral)

Pléiades, Pléiades NEO, Spot 6/7 (Mono/Tri-Stereo) – High spatial resolution for detailed habitat classification.
Sentinel-2 (MSI) – Medium-resolution vegetation monitoring.
Radar Imaging

Sentinel-1 – Terrain analysis, detecting habitat structure changes.
SRTM (Shuttle Radar Topography Mission) – Elevation and topographic data.
Drone Data (Local Vegetation Mapping & Validation)

DJI AIR 2S – RGB aerial imagery for habitat classification refinement.
Climatic & Environmental Data

Microclimatic Time Series

SoilTemp – In-situ soil temperature data.
High-resolution climate models (French Polar Institute 136-SUBANTECO, WorldClim, MerraClim, CHELSA, TerraClimate, Météo-France).
Ecological & Floristic Data

TAF National Nature Reserve & French Polar Institute Database

Georeferenced floristic surveys (species distributions, environmental conditions).
Habitat guides for Crozet and Kerguelen (2023) & bibliographic summaries for Amsterdam Island.
Amsterdam field campaigns (floristic data for refining habitat classification).