cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29875910
title: Supplementary material for "Climate driven patterns shape clusters of co-occurring ticks and vertebrates in the Western Palearctic-Tropics."

description: This study investigates the regionalization of tick–vertebrate associations across the Western Palearctic and Afrotropical regions, with a focus on climatic influences. By analyzing the co-occurrence patterns of 82 tick species and 121 vertebrate genera, we aim to assess how climate influences tick endemism and ß-diversity across the study area. Furthermore, we examine as a proof of concept whether statistically homogeneous groups of co-occurring ticks share environmental niches because their associations with available vertebrates.Supplementary Material 1 contains the maps of the predicted distribution of species of ticks reported from the Western Palearctic and the Afrotropical region. They have been prepare using a Stacking Distribution Species modeling (SSDM) as explained in the paper "to be filled when accepted".It is important to note that these are raw maps, that have not yet been assessed for its identity. In example, some endophilous species (e.g. Ixodes ventalloi) have been included. Given that only climate variables are used to develop the models, it is unlikely that these models are correct. Therefore, please note that these are "not debugged maps".After decompression fo the file, there are folders with the name of each species of ticks. Inside the folder, there are .csv files explaining some statistics of each model, as well as geoTIFF files with the binary (present/absent) range obtained with the values of sensitivity and specificity, the probability of presence (also named "climate suitability") and a map of uncertainty. To note, too, these are maps trained with SSDM, which is an ensemble modeling. Even if several algorithms were tested, using the package "SSDM" for R, only ONE map is provided for each species. The map is the one resulting from the best modeling approach, after testing several strategies of thinning and combination of variables.Supplementary Material 2 contains scripts in R to (a) calculate a principal components analysis according to chorotypes, (b) calculate a PCA-derived niche, and (c) compute the harmonic regression (Fourier transform) to obtain the explanatory climate variables from monthly raw climate variables.Supplementary Material 3 contains a PDF with the phylogenetic tree of the vertebrates used in this study, that is also available as a nexus type file.
DOI: 10.6084/m9.figshare.29875910.v2
title: Supplementary material for "Climate driven patterns shape clusters of co-occurring ticks and vertebrates in the Western Palearctic-Tropics."

description: This study investigates the regionalization of tick–vertebrate associations across the Western Palearctic and Afrotropical regions, with a focus on climatic influences. By analyzing the co-occurrence patterns of 82 tick species and 121 vertebrate genera, we aim to assess how climate influences tick endemism and ß-diversity across the study area. Furthermore, we examine as a proof of concept whether statistically homogeneous groups of co-occurring ticks share environmental niches because their associations with available vertebrates.Supplementary Material 1 contains the maps of the predicted distribution of species of ticks reported from the Western Palearctic and the Afrotropical region. They have been prepare using a Stacking Distribution Species modeling (SSDM) as explained in the paper "to be filled when accepted".It is important to note that these are raw maps, that have not yet been assessed for its identity. In example, some endophilous species (e.g. Ixodes ventalloi) have been included. Given that only climate variables are used to develop the models, it is unlikely that these models are correct. Therefore, please note that these are "not debugged maps".After decompression fo the file, there are folders with the name of each species of ticks. Inside the folder, there are .csv files explaining some statistics of each model, as well as geoTIFF files with the binary (present/absent) range obtained with the values of sensitivity and specificity, the probability of presence (also named "climate suitability") and a map of uncertainty. To note, too, these are maps trained with SSDM, which is an ensemble modeling. Even if several algorithms were tested, using the package "SSDM" for R, only ONE map is provided for each species. The map is the one resulting from the best modeling approach, after testing several strategies of thinning and combination of variables.Supplementary Material 2 contains scripts in R to (a) calculate a principal components analysis according to chorotypes, (b) calculate a PCA-derived niche, and (c) compute the harmonic regression (Fourier transform) to obtain the explanatory climate variables from monthly raw climate variables.Supplementary Material 3 contains a PDF with the phylogenetic tree of the vertebrates used in this study, that is also available as a nexus type file.
DOI: 10.6084/m9.figshare.29875910.v1
title: Supplementary material for "Climate driven patterns of co-occurring ticks and vertebrates shape clusters of epidemiological interest in the Palearctic-Tropics."

description: This study investigates the regionalization of tick–vertebrate associations across the Western Palearctic and Afrotropical regions, with a focus on climatic influences. By analyzing the co-occurrence patterns of 82 tick species and 121 vertebrate genera, we aim to assess how climate influences tick endemism and ß-diversity across the study area. Furthermore, we examine as a proof of concept whether statistically homogeneous groups of co-occurring ticks share environmental niches because their associations with available vertebrates.This Supplementary Material includes the maps for ticks and vertebrates prepared for the study, in GeoTIFF format.Please read the "Supplementary Material 1 ReadMe" and the paper (available here: XXX) for further information about the structure of the files.
DOI: 10.6084/m9.figshare.30628085
title: Digital Appendix | Marrying Unmarriageable: Revealing Incentives for Unconventional Coalition-Building in German Länder

description: In contemporary Germany, rising support for populist parties has led mainstream political actors to reinforce the Brandmauer against the AfD and pursue unconventional Länder-level coalitions. However, the making of these coalitions contradicts the body of previous research outlining party and structural factors, including close policy stances, familiarity, and federal congruence. This paper employs a crisp-set qualitative comparative analysis (QCA) of 38 cases of Länder coalition-building from 2013 to 2024 to identify incentives for making such coalitions and test how structural factors interact in a new context. The results suggest that under threat of strong AfD performance, office-seeking becomes the main driver for establishing a coalition, while effects of other factors remain limited. Moreover, coalitions built under extreme crisis circumstances may contribute to horizontal learning and later enrich the coalition repertoire for non-crisis Länder with limited AfD influence. This supports the relevance of the unconventional coalition concept for broader research.<br><br>Via this link, the dataset and the digital appendix are provided
DOI: 10.6084/m9.figshare.30628085.v1
title: Digital Appendix | Marrying Unmarriageable: Revealing Incentives for Unconventional Coalition-Building in German Länder

description: In contemporary Germany, rising support for populist parties has led mainstream political actors to reinforce the Brandmauer against the AfD and pursue unconventional Länder-level coalitions. However, the making of these coalitions contradicts the body of previous research outlining party and structural factors, including close policy stances, familiarity, and federal congruence. This paper employs a crisp-set qualitative comparative analysis (QCA) of 38 cases of Länder coalition-building from 2013 to 2024 to identify incentives for making such coalitions and test how structural factors interact in a new context. The results suggest that under threat of strong AfD performance, office-seeking becomes the main driver for establishing a coalition, while effects of other factors remain limited. Moreover, coalitions built under extreme crisis circumstances may contribute to horizontal learning and later enrich the coalition repertoire for non-crisis Länder with limited AfD influence. This supports the relevance of the unconventional coalition concept for broader research.<br><br>Via this link, the dataset and the digital appendix are provided
DOI: 10.15468/dl.423njg
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-111.4188 26.84913, -111.2688 26.84913, -111.2688 26.99913, -111.4188 26.99913, -111.4188 26.84913))"
 ]
}

 The dataset includes 200 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036167-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ybwbe
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-7.09384 43.67064,-7.71761 43.83449,-8.85175 43.40756,-9.32809 43.16815,-9.4415 42.57803,-8.90846 41.84724,-8.262 42.0581,-8.18261 41.81343,-7.79241 41.80498,-7.37278 41.73731,-7.0212 41.88102,-6.73767 42.17588,-6.78303 42.82806,-6.77169 43.4158,-7.09384 43.67064))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Robinia pseudoacacia"
 ]
}

 The dataset includes 264 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036168-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwyj4m
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pterygoplichthys multiradiatus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036169-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbzwgz
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-111.2688 26.84913, -111.1188 26.84913, -111.1188 26.99913, -111.2688 26.99913, -111.2688 26.84913))"
 ]
}

 The dataset includes 75 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036170-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bex378
title: Occurrence Download

description: A dataset containing 635286 records in GBIF matching the query:
SELECT specieskey, COUNT(specieskey), waterbody
 FROM occurrence
 WHERE
 specieskey IS NOT NULL
 AND waterbody IS NOT NULL
 AND occurrencestatus = 'PRESENT'
 AND (
 basisofrecord = 'HUMAN_OBSERVATION'
 OR basisofrecord = 'MACHINE_OBSERVATION'
 OR basisofrecord = 'OCCURRENCE'
 OR basisofrecord = 'LIVING_SPECIMEN'
 OR basisofrecord = 'MATERIAL_SAMPLE'
 )
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND datasetkey NOT IN ('ebd01d3e-5e9a-4e80-8ae2-1dfe9a032bf7', '6276fa08-f762-11e1-a439-00145eb45e9a', 'c8fb4ced-0374-46f7-8c03-5eb5a6b70640', '12464931-e8ea-4437-b6df-c280e063b107', 'b7ef1d60-b0a0-11dd-aa14-b8a03c50a862', '10fe7809-00b8-45ed-b743-963520ea7680', '5bc157a5-d52f-4be1-918b-c2950c5e742c', '00cbf1a4-5437-4902-84c8-17643eac3c8c', '0360c673-20fc-420a-845a-05d20f185dcf', '2ddded16-5565-45ee-8aa1-1b8118fa361f') 
 GROUP BY specieskey, waterbody

 The dataset's 635286 records were derived from 2636 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036162-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ipmrdn
title: HVTN 702 STI manuscript (PLOS Global Public Health)
title: Sexually transmitted infections amongst men who have sex with men (MSM)

description: This dataset contains frozen pre-unblinding clinical data as of 21 July 2021. Sensitive data including individual risk behavior responses and STI test results are not posted.
DOI: 10.15468/dl.hd4ewe
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global compendium of Aedes albopictus occurrence"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012889-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25452/figshare.plus.27098065
title: Pre-processed neural and behavioral data, including raw fluorescence

description: This dataset contains pickled Python files of pre-processed neural and behavioral data, for each experimental day, used throughout: Sosa, Plitt, Giocomo. 2025. A flexible hippocampal population code for experience relative to reward. <i>Nature Neuroscience</i>. https://doi.org/10.1038/s41593-025-01985-4Hippocampal neurons were recorded in dorsal CA1 using 2-photon calcium imaging and synchronized with virtual reality (VR) behavior in head-fixed mice. This data is referred to as "pre-processed" because raw imaging and VR sessions have been aligned, imaging data have been curated in suite2p, dF/F has been calculated from the raw fluorescence, and place cells have been classified by spatial information computed from deconvolved 'events' compared to the shuffled spatial information scores within animal, but no other analyses have been run. Raw fluorescence and neuropil fluorescence for each cell's region of interest are included, giving the user the option to re-extract dF/F using a different method or parameters if desired. The <code>pickle</code> or <code>dill</code> package in Python is required to load this dataset. The data loaded from these files is referred to as <code>multi_anim_sess</code> in the code. See the code base on Github for usage and additional documentation, particularly this README describing the file contents.See the accompanying dataset: Post-processed neural and behavioral data class with reward-relative cells identified.<br><br>File name format: [list-of-mouse-numbers]_expday[day number]_speed[speed threshold below which neural data are excluded for place cell calculations, in cm/s]_perms[number of shuffles for spatial information comparison]<i>_</i>[maximin = baseline method for dF/F]<i>_</i>[events = type of data (deconvolved activity events) used to calculate spatial information]<br>The pickle file is a Python dictionary, where each entry of the dictionary corresponds to an individual animal's dictionary. Days numbered [3, 5, 7, 8, 10, 12, 14], corresponding to "switch" days in the paper, in which a hidden reward zone "switched" locations on a virtual linear track.Place cells were identified separately within two trials sets: "set 0" for before the reward switch, and "set 1" for after the reward switch. In animals without a reward switch, "set 0" and "set 1" correspond to the 1st and 2nd half of trials, respectively.<br><br>
DOI: 10.15468/dl.tu48nq
title: Occurrence Download

description: A dataset containing 93819 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cymus glandicolor Hahn, 1833, Notaris scirpi (J.C.Fabricius, 1792), Pachybrachius fracticollis (Schilling, 1829), Cellypha goldbachii (Weinm.) Donk, Coprinopsis tigrinella (Boud.) Redhead, Vilgalys & Moncalvo, Coprinopsis martinii (P.D.Orton) Redhead, Vilgalys & Moncalvo, Galerina permixta (P.D.Orton) Pegler, Marasmius caricis P.Karst., Mycena bulbosa (Cejp) Kühner, Limnobaris dolorosa (J.A.E.Goeze, 1777), Limnobaris t-album C.R.Sahlberg, 1900, Septoria gracilis Pass., Kateretes pedicularius (Linnaeus, 1758), Kateretes rufilabris (Latreille, 1807), Kateretes pusillus (Thunberg, 1794), Phalacrus substriatus Gyllenhal, 1813, Phalacrus caricis Sturm, 1807, Donacia obscura Gyllenhal, 1813, Pachynematus vagus (Fabricius, 1781), Pachynematus clibrichellus (Cameron, 1878), Pachynematus clitellatus (Serville, 1823), Brachythops flavens (Klug, 1816), Astacus astacus (Linnaeus, 1758), Puccinia uliginosa Juel, Puccinia microsora Körn., Forcipata acclina (DeLong & Caldwell, 1936), Hypoderma alpinum Spooner, Anthracoidea pilosae Vánky, Erebia niphonica Janson, 1877, Hesperia florinda, Diplonaevia seriata (Lib.) B.Hein, Hysterostegiella crassomarginata Graddon, Hymenoscyphus magnificus (Velen.) Dennis, Anthracoidea subinclusa (Körn.) Bref., Forcipata triquetra (DeLong & Caldwell, 1936), Pediobius crassicornis (Thomson, 1878), Elasmus varius Howard, 1885, Trichomasthus cyaneus (Dalman, 1820), Metacolus fasciatus Girault, 1917, Chrysocharis cerodonthae Hansson, 1987, Brachymeria podagrica (Fabricius, 1787), Chouioia cunea Yang, 1989, Microspathodon dorsalis (Gill, 1862), Girella elevata Macleay, 1881, Littorina littorea (Linnaeus, 1758), Athyonidium chilensis (Semper, 1868), Mopalia lignosa (Gould, 1846), Caffrogobius caffer (Günther, 1874), Notomithrax ursus (Fabricius, 1787), Venus verrucosa Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 93819 records from 1010 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002721-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15447143
title: Chat GPT in Steel Structure Design Education
DOI: 10.5281/zenodo.15447144
title: Chat GPT in Steel Structure Design Education
DOI: 10.15468/dl.7j72e3
title: Occurrence Download

description: A dataset containing 620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is NMNH Extant Specimen Records (USNM, US)",
 "Geometry POLYGON((-67.12054 -57.47073,-63.72413 -57.47073,-63.72413 -55.12996,-67.12054 -55.12996,-67.12054 -57.47073))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 620 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002725-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3s7m3y
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oncorhynchus rhodurus Jordan & McGregor, 1925"
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002726-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h2z2qe
title: Occurrence Download

description: A dataset containing 242888 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Haliotis midae Linnaeus, 1758, Antennablennius bifilum (Günther, 1861), Bathygobius fuscus (Rüppell, 1830), Orthoprotella mayeri K.H.Barnard, 1916, Scartella emarginata (Günther, 1861), Thalamita crenata Rüppell, 1830, Acanthonyx quadridentatus (Krauss, 1843), Acanthonyx lunulatus (Risso, 1816), Steromphala pennanti (R.A.Philippi, 1846), Pachygrapsus marmoratus (Fabricius, 1787), Aldrichetta forsteri (Valenciennes, 1836), Liocarcinus depurator (Linnaeus, 1758), Clibanarius virescens (Krauss, 1843), Arenicola marina (Linnaeus, 1758), Echinometra mathaei (Blainville, 1825), Kyphosus sydneyanus (Günther, 1886), Menaethius monoceros (Latreille, 1825), Girella tricuspidata (Quoy & Gaimard, 1824), Littorina obtusata (Linnaeus, 1758), Thalamita danae Stimpson, 1858, Phorcus lineatus (da Costa, 1778), Sebastes caurinus Richardson, 1844, Palaemon adspersus Rathke, 1837, Sebastes maliger (Jordan & Gilbert, 1880), Aplysia punctata (Cuvier, 1803), Parvulastra exigua (Lamarck, 1816), Parablennius parvicornis (Valenciennes, 1836), Lepadogaster zebrina Lowe, 1839, Chelon labrosus (Risso, 1827), Palaemon elegans Rathke, 1837, Atherinopsis californiensis Girard, 1854, Lipophrys pholis (Linnaeus, 1758), Calcinus laevimanus (J.W.Randall, 1840), Istiblennius edentulus (Forster & Schneider, 1801), Lophozozymus incisus (H.Milne Edwards, 1834), Cebidichthys violaceus (Girard, 1854), Chelon ramada (Risso, 1827), Psammotettix altimontanus Mitjaev, 1969, Anthracoidea hallerianae T.Denchev, Denchev, Begerow & Kemler, Allaphis foxtonensis (Cottier, 1953), Heteronympha cordace (Geyer, 1832), Trichomasthus angustifrons Trjapitzin, 1964, Protosynaema quaestuosa Meyrick, 1924, Paraphlepsius apertus (Van Duzee, 1892), Oeneis ivallda Mead, 1878, Elachista hedemanni Rebel, 1899, Kelisia halpina Remane & Jung, 1995, Kelisia haupti Wagner, 1939, Kelisia hagemini Remane & Jung, 1995, Idiomacromerus splendidus (Szelenyi, 1957))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 242888 records from 883 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002724-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t75yf9
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Daphne altaica Pall.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 63 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030210-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rwtgss
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kenya",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stellaria media (L.) Vill."
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030211-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.