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

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Armigeres joloensis"
 ]
}

 The dataset includes 190 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027325-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48580/dgmyy.v3
title: gamma 91
DOI: 10.15468/dl.mqfkef
title: Occurrence Download

description: A dataset containing 42 records in GBIF matching the query:
SELECT DISTINCT
 pathway.concept pathway,
 CONCAT_WS(' -&gt; ', pathway.lineage) lineage
FROM
 occurrence

 The dataset's 42 records were derived from 89014 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027190-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18682139
title: ÓSPIRIMLIK DÁWIRINDE DEVIANT MINEZ-QULIQTIŃ PSIXOLOGIYALIQ FAKTORLARI

description: Bul maqalada óspirimlik dáwirinde ushırasatuǵın  deviant minez-qulıqtıń qáliplesiwine tásir etiwshi psixologiyalıq faktorlar analiz etiledi. Óspirim shaxsınıń emocional jaǵdayı, ózin bahalaw dárejesi, frustratsiya, agressivlik hám identifikaciya procesleri deviant minez-qulqınıń júzege keliwinde áhmiyetli rol oynaytuǵını ilimiy tiykarda jarıtıladı. Izertlew nátiyjeleri óspirimler menen islesiwde psixologiyalıq profilaktika ilajların islep shıǵıw zárúrligin kórsetedi [2, 45-47-b.].
DOI: 10.5281/zenodo.18682140
title: ÓSPIRIMLIK DÁWIRINDE DEVIANT MINEZ-QULIQTIŃ PSIXOLOGIYALIQ FAKTORLARI

description: Bul maqalada óspirimlik dáwirinde ushırasatuǵın  deviant minez-qulıqtıń qáliplesiwine tásir etiwshi psixologiyalıq faktorlar analiz etiledi. Óspirim shaxsınıń emocional jaǵdayı, ózin bahalaw dárejesi, frustratsiya, agressivlik hám identifikaciya procesleri deviant minez-qulqınıń júzege keliwinde áhmiyetli rol oynaytuǵını ilimiy tiykarda jarıtıladı. Izertlew nátiyjeleri óspirimler menen islesiwde psixologiyalıq profilaktika ilajların islep shıǵıw zárúrligin kórsetedi [2, 45-47-b.].
DOI: 10.5281/zenodo.18682045
title: Survey on mobility barriers in Germany

description: This survey concerns subjectively perceived barriers to mobility in Germany. It was conducted from 09.09.2024 to 20.09.2024 and from 06.11.2024 to 12.11.2024 among German residents aged 18 or older. After the conclusion of data collection, the dataset comprised 4718 cases, of which 3751 were complete. After logical filtering, the resulting dataset includes N = 3692 cases. It meets sampling quotas on the variables age class, sex, regional statistical settlement structure at the 95% confidence interval. The data is fully anonymised.

This repository contains the filtered replies to survey questions (in "Survey results"), results of scientific analysis (in "Analysis results"), and corresponding R scripts (in "R scripts").

The following paragraphs sketch out the survey content:

The first section of the survey captures the participant’s usual mobility patterns for seven transport modes and their sub-categories: MIT includes driving an own car, driving a two-wheeler, being a co-driver, and use of car sharing; PT, separated into local and long-distance transport; walking; using an own bicycle; using shared micro-mobility services (e.g. e-scooters, rental bikes); hailed services (incl. taxis, ride hailing providers); and air travel. Participants are asked about trip frequencies on a five point ordinal scale from “Daily/almost daily” to “Never/almost never”.The second section asks respondents about their mobility conditions, including possession of a driver's license, car, two-wheeler and bicycle(s), PT subscriptions, car sharing subscription, and accessibility and service quality of PT stations, taxis, and shared mobility. It also asks about mobility impairments, though not discriminating their severity.The third section deals with the perception of mobility barriers. It starts with a preliminary question on active decision against particular transport modes multiple times throughout the past seven days. For each mode we choose between seven and 45 statements that relate to infrastructural, social, psychological, capability-related, and technological mobility barriers or factors of mode choice. Responds are captured on a five-point Likert-scale for those modes actively decided against.The survey ends with a socio-demographic section. It includes socio-demographic standards along with two individual questions to survey sex and gender. Furthermore, it contains three questions regarding language skills and language barriers to account for multilingual and non-native background, as well as nine questions regarding migration background, citizen status, identification, and migration biography (only if participants stated themselves or one of their parents to have migrated to Germany).
DOI: 10.5281/zenodo.18682044
title: Survey on mobility barriers in Germany

description: This survey concerns subjectively perceived barriers to mobility in Germany. It was conducted from 09.09.2024 to 20.09.2024 and from 06.11.2024 to 12.11.2024 among German residents aged 18 or older. After the conclusion of data collection, the dataset comprised 4718 cases, of which 3751 were complete. After logical filtering, the resulting dataset includes N = 3692 cases. It meets sampling quotas on the variables age class, sex, regional statistical settlement structure at the 95% confidence interval. The data is fully anonymised.

This repository contains the filtered replies to survey questions (in "Survey results"), results of scientific analysis (in "Analysis results"), and corresponding R scripts (in "R scripts").

The following paragraphs sketch out the survey content:

The first section of the survey captures the participant’s usual mobility patterns for seven transport modes and their sub-categories: MIT includes driving an own car, driving a two-wheeler, being a co-driver, and use of car sharing; PT, separated into local and long-distance transport; walking; using an own bicycle; using shared micro-mobility services (e.g. e-scooters, rental bikes); hailed services (incl. taxis, ride hailing providers); and air travel. Participants are asked about trip frequencies on a five point ordinal scale from “Daily/almost daily” to “Never/almost never”.The second section asks respondents about their mobility conditions, including possession of a driver's license, car, two-wheeler and bicycle(s), PT subscriptions, car sharing subscription, and accessibility and service quality of PT stations, taxis, and shared mobility. It also asks about mobility impairments, though not discriminating their severity.The third section deals with the perception of mobility barriers. It starts with a preliminary question on active decision against particular transport modes multiple times throughout the past seven days. For each mode we choose between seven and 45 statements that relate to infrastructural, social, psychological, capability-related, and technological mobility barriers or factors of mode choice. Responds are captured on a five-point Likert-scale for those modes actively decided against.The survey ends with a socio-demographic section. It includes socio-demographic standards along with two individual questions to survey sex and gender. Furthermore, it contains three questions regarding language skills and language barriers to account for multilingual and non-native background, as well as nine questions regarding migration background, citizen status, identification, and migration biography (only if participants stated themselves or one of their parents to have migrated to Germany).
DOI: 10.15468/dl.t5szur
title: Occurrence Download

description: A dataset containing 4120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macrhybopsis storeriana",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 4120 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027327-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9zzvw2
title: Occurrence Download

description: A dataset containing 3574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is FRA",
 "OccurrenceStatus is Present",
 "TaxonKey is Anodonta anatina"
 ]
}

 The dataset includes 3574 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027328-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d82dd8
title: Occurrence Download

description: A dataset containing 4330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((22.82722 40.80432,23.69366 40.70577,23.82506 40.83717,23.47397 40.96036,23.04691 41.18005,22.70198 41.12461,22.82722 40.80432))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 4330 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027329-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/qmin0x/8hdznw
title: SmartUP_DMP_0.5.docx

description: :unav
DOI: 10.25625/qmin0x
title: Smartup Data Management Plan

description: Smartup Data Management Plan
DOI: 10.15468/dl.u55u6u
title: Occurrence Download

description: A dataset containing 1620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is FRA",
 "OccurrenceStatus is Present",
 "TaxonKey is Anodonta cygnea"
 ]
}

 The dataset includes 1620 records from 205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027331-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18682181
title: Global Regularity for the Navier–Stokes Equations: A Geometric Resolution via the Evolutionary Layer-by-Layer Gauge Method

description: This paper presents a complete geometric construction of global smooth solutions for the three-dimensional Navier–Stokes equations, resolving the regularity problem as formulated by the Clay Mathematics Institute. The proof synthesizes two fun-damental ideas: the classification of degenerate solutions [20] and the continuous gauge method [21].The classification theorem shows that the only geometrically rigid degenerate case (rank 1, where streamlines are straight lines) cannot arise in solutions that are gauge-equivalent to a non-trivial axisymmetric flow. This eliminates the only potential obstruction to regularity. The continuous gauge method provides an analytical framework based on a modified entropy functional that controls both the velocity field and the gauge deformation. However, it does not specify how to construct the initial gauge diffeomorphism connecting an arbitrary field to an axisymmetric reference.The layer-by-layer construction fills this gap through two geometrically trans-parent steps:1. A time-dependent diffeomorphism that eliminates one spatial coordinate, re-ducing an arbitrary 3D flow to a 2D flow.2. A second time-dependent diffeomorphism that transforms the 2D flow into anaxisymmetric flow without swirl.Both steps are performed in an evolutionary manner, generating gauge fields that satisfy the equations of the continuous gauge method. Their composition provides the full evolutionary gauge for the original field. Using Fourier expansion in the angular variable, we prove that the class of fields admitting such an evolutionary gauge construction is dense. Uniform entropy estimates then show that this class is also closed, hence it coincides with the space of all smooth divergence-free fields. By the regularity of axisymmetric flows, every such initial data yields a globally regular solution.This work resolves the Navier–Stokes regularity problem in the affirmative, providing a constructive geometric proof that avoids the analytical difficulties that have hindered previous approaches.
DOI: 10.5281/zenodo.18681999
title: Data to Viola J.: Microscale Alkenone Heterogeneity and Replicability of Ultra-High-Resolution Temperature Records from Marine Sediments

description: Data related to the upcoming publication

Microscale Alkenone Heterogeneity and Replicability of Ultra-High-Resolution Temperature Records from Marine Sediments

Files ending on "_rawtxts" are used for depth alignment using msiAlign (Liu et al. 10.5281/zenodo.15039621) and variogram analyses.The msiAlign outputs ending on "_depthaligned" are used for all other analyses of the study.

The respective R code is archived at 10.5281/zenodo.17352961.
DOI: 10.5281/zenodo.18682000
title: Data to Viola J.: Microscale Alkenone Heterogeneity and Replicability of Ultra-High-Resolution Temperature Records from Marine Sediments

description: Data related to the upcoming publication

Microscale Alkenone Heterogeneity and Replicability of Ultra-High-Resolution Temperature Records from Marine Sediments

Files ending on "_rawtxts" are used for depth alignment using msiAlign (Liu et al. 10.5281/zenodo.15039621) and variogram analyses.The msiAlign outputs ending on "_depthaligned" are used for all other analyses of the study.

The respective R code is archived at 10.5281/zenodo.17352961.
DOI: 10.15468/dl.rvqc9c
title: Occurrence Download

description: A dataset containing 10 records in GBIF matching the query:
SELECT DISTINCT
 latesteraorhighesterathem.concept latesteraorhighesterathem,
 CONCAT_WS(' -&gt; ', latesteraorhighesterathem.lineage) lineage
FROM
 occurrence

 The dataset's 10 records were derived from 89014 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027296-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18414741
title: StopUP_Decision Support System_LCA, LCI and Cost Index

description: This set contains the data created by atd GmbH (Aachen, Germany) in the EU StopUP project to create the life cycle inventory (LCI), the life cycle costing (LCC), the life cycle analysis (LCA) and the decission support system (DSS) for diverent storage and treatment technologies for storm and waste water.
DOI: 10.5281/zenodo.18414742
title: StopUP_Decision Support System_LCA, LCI and Cost Index

description: This set contains the data created by atd GmbH (Aachen, Germany) in the EU StopUP project to create the life cycle inventory (LCI), the life cycle costing (LCC), the life cycle analysis (LCA) and the decission support system (DSS) for diverent storage and treatment technologies for storm and waste water.
DOI: 10.15468/dl.nf49ak
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hipposideros hypophyllus"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027334-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18682074
title: Eurostat data cube

description: This is your unnofficial data cube gateway to eurostat, allowing you to use temporal census data in xarray, e.g., to combine it with satellite imagery.



Motivation
Statistical data collection is designed to show the spatial distribution of features at a given reporting period. This makes it easy to generate a map but difficult to analyse time series. Some features are reported monthly, others annually. In addition, statistical NUTS regions may change their name, id, and even boundaries over time, making it challenging to track what happened at a given geographical region. This project provides a harmonised and aggregated view on eurostat data, providing arrays with constant spatiotemporal boundaries.



Features




follows xarray and CF Conventions

bulk download of eurostat including meta data

All regions are aggregated or upsampled to NUTS3 as of version 2024

All timespans are aggregated or upsampled to quarters

Accounts for NUTS region splits and merges weighted by population using nuts::nuts_convert_version




Disclaimer
This project is a re-analysis of the official data of eurostat. Values were modified during aggragation. The codebase may still contain errors that can lead to false interpretation of the data. Use the products at your own risk. We are not affiliated with eurostat.
DOI: 10.5281/zenodo.18682075
title: Eurostat data cube

description: This is your unnofficial data cube gateway to eurostat, allowing you to use temporal census data in xarray, e.g., to combine it with satellite imagery.



Motivation
Statistical data collection is designed to show the spatial distribution of features at a given reporting period. This makes it easy to generate a map but difficult to analyse time series. Some features are reported monthly, others annually. In addition, statistical NUTS regions may change their name, id, and even boundaries over time, making it challenging to track what happened at a given geographical region. This project provides a harmonised and aggregated view on eurostat data, providing arrays with constant spatiotemporal boundaries.



Features




follows xarray and CF Conventions

bulk download of eurostat including meta data

All regions are aggregated or upsampled to NUTS3 as of version 2024

All timespans are aggregated or upsampled to quarters

Accounts for NUTS region splits and merges weighted by population using nuts::nuts_convert_version




Disclaimer
This project is a re-analysis of the official data of eurostat. Values were modified during aggragation. The codebase may still contain errors that can lead to false interpretation of the data. Use the products at your own risk. We are not affiliated with eurostat.
DOI: 10.15468/dl.szrym4
title: Occurrence Download

description: A dataset containing 1500515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Centre for Biodiversity Genomics - Canadian Specimens"
 ]
}

 The dataset includes 1500515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027317-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwzpb2
title: Occurrence Download

description: A dataset containing 793 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-95.38848 62.9749,-95.15023 65,-94.56199 70,-94.43686 71.06361,-94.54893 71.35447,-94.65853 71.61753,-94.77489 71.87768,-94.89793 72.13473,-95.02756 72.38853,-95.1637 72.6389,-95.30625 72.88566,-95.45513 73.12867,-95.61023 73.36775,-95.77145 73.60275,-95.93868 73.83351,-96.11181 74.05988,-96.29072 74.2817,-96.4753 74.49884,-96.66543 74.71113,-97.0618 75.12065,-97.39246 75.432,-97.62666 75.63768,-97.92917 75.88673,-98.16888 76.07174,-98.41356 76.2501,-98.72243 76.46106,-99.20636 76.7621,-99.70518 77.03776,-99.95976 77.16584,-100.33132 77.33835,-101.00405 77.66083,-101.68897 77.95653,-102.03567 78.09418,-102.38502 78.22498,-102.73688 78.34886,-103.09112 78.46577,-103.44759 78.57567,-103.80616 78.67853,-104.16669 78.77429,-104.52904 78.86292,-104.89307 78.94438,-105.25863 79.01865,-105.62559 79.0857,-105.9938 79.1455,-106.36311 79.19802,-106.73339 79.24324,-107.24383 79.29349,-107.61582 79.32133,-108.08147 79.3458,-108.46598 79.35734,-108.85065 79.36106,-109.3169 79.35507,-109.80614 79.33642,-110.14359 79.31615,-110.60834 79.27831,-110.97937 79.23979,-120.29642 76.95806,-141.83512 75,-143.30382 74.86648,-143.56338 74.72636,-143.69532 74.6445,-143.86156 74.53002,-144.07313 74.36372,-144.21611 74.23633,-144.44392 74.00314,-144.55489 73.8733,-144.66904 73.72604,-144.85332 73.45088,-145.01251 73.16048,-145.0823 73.01028,-145.14535 72.85713,-145.20156 72.70133,-145.25081 72.5432,-145.293 72.38304,-145.32805 72.22116,-145.35588 72.05789,-145.37646 71.89355,-145.38973 71.72846,-145.3954 71.44389,-144.86597 70,-143.30382 65.73958,-142.77224 65,-139.17849 60,-138.93051 59.65498,-135.79475 57.06457,-95.38848 62.9749))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Procellariiformes",
 "Year 2015-2024"
 ]
}

 The dataset includes 793 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027335-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3rbym
title: Occurrence Download

description: A dataset containing 81694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthyllis vulneraria",
 "Continent is Europe",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 100",
 "Year is greater than or equal to 1970",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Material citation"
 ]
 }
 }
 ]
}

 The dataset includes 81694 records from 280 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027281-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18682188
title: Thermographic data for print Mus.2954.Q.1 (SLUB)

description: This data set contains thermographic images for the visualisation of watermarks. An IRCAM Equus 327k with Watermark Imager software (Fraunhofer) version 8.416 (R2016b) was used.
DOI: 10.5281/zenodo.18682187
title: Thermographic data for print Mus.2954.Q.1 (SLUB)

description: This data set contains thermographic images for the visualisation of watermarks. An IRCAM Equus 327k with Watermark Imager software (Fraunhofer) version 8.416 (R2016b) was used.
DOI: 10.15468/dl.gmahhn
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hipposideros lankadiva"
 ]
}

 The dataset includes 143 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027336-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yzxp3x
title: Occurrence Download

description: A dataset containing 21350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Notropis atherinoides",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 21350 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027337-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.