cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17977691
title: Evaluating Prompting Approaches for Indoor Navigation with MLLMs

description: Open data results for: The Advantages of Simplicity: Evaluating Prompting Approaches for Indoor Navigation with MLLMsThis paper investigates the capability of multimodal large language models to interpret indoor floorplans and generate human‑like navigation instructions without relying on explicit graph extraction or symbolic spatial representations. We evaluate several prompting strategies, including few‑shot prompting, self‑verification, and multi‑step reasoning, across three real-world environments. A standardized set of navigation queries is used to assess the model’s ability to infer spatial layout, identify points of interest, and produce coherent step‑by‑step directions. Results show that while MLLMs can reliably identify high‑level routes, their performance is significantly affected by map complexity, visual clutter, and orientation ambiguities. Graph‑style map simplification improves accuracy, but persistent errors in left–right reasoning and POI localization highlight fundamental limitations in current MLLM spatial reasoning. We discuss these challenges and outline methodological recommendations for developing more robust LLM‑based indoor navigation systems.
DOI: 10.5281/zenodo.17977707
title: BUDJET MABLAGʻLARIDAN FOYDALANISH SAMARADORLIGINI TA'MINLASHDA JAMOATCHIIK NAZORATINI RIVOJLANTIRISH

description: Mazkur maqolada budjet mablag‘laridan foydalanish samaradorligini ta’minlashda jamoatchilik nazoratini rivojlantirish masalalari tahlil qilindi. Unda kuzatuv, komparativ, SWOT va kontent tahlili metodlari qo‘llanib, xalqaro tajribalar bilan solishtirildi. O‘zbekiston sharoitida “Ochiq budjet” portali, ishtirokchi byudjetlashtirish mexanizmlari va raqamli nazorat tizimlari ijobiy natijalar berayotganligi muhokama qilindi. Shu bilan birga, mavjud kamchiliklar ham aniqlanib, ularni bartaraf etish uchun aniq takliflar ishlab chiqildi.
DOI: 10.71685/bamf.fdz.azr2023td.off.1.0
title: Testdaten des AZR-Forschungsdatensatzes 2023 (Datensatz des BAMF-FDZ)

description: Das Forschungsdatenzentrum des Bundesamtes für Migration und Flüchtlinge (BAMF-FDZ) stellt mit dem AZR-Forschungsdatensatz 2023 (AZR-FD2023) anonymisierte Forschungsdaten aus dem Ausländerzentralregister (AZR) für antragsbefugte Forschungseinrichtungen nach Abschluss eines Nutzungsvertrags zur Verfügung. Als Vorbereitungsgrundlage zur Arbeit mit dem AZR-FD2023 stellt das BAMF-FDZ neben einer umfangreichen Datendokumentationen zusätzlich Testdaten zum AZR-FD2023 bereit. Testdaten imitieren die Struktur einer Datengrundlage, ohne dabei originale Beobachtungseinheiten oder inhaltliche Analysepotenziale zu enthalten. Sie dienen somit als freizugängliche Arbeitsgrundlage zur Vorbereitung und Exploration von Datensätzen, welche meist aus datenschutzrechtlichen Gründen in ihrer originalen Fassung nur unter eingeschränkten Bedingungen zugänglich sind. Die Testdaten des AZR-FD2023 entsprechen einer strukturell angeglichenen Version des AZR-FD2023.
DOI: 10.15468/dl.mjsnmy
title: Occurrence Download

description: A dataset containing 5047 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is one of (MINKA_Danube Delta Open Living Lab)"
 ]
}

 The dataset includes 5047 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058487-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17977706
title: BUDJET MABLAGʻLARIDAN FOYDALANISH SAMARADORLIGINI TA'MINLASHDA JAMOATCHIIK NAZORATINI RIVOJLANTIRISH

description: Mazkur maqolada budjet mablag‘laridan foydalanish samaradorligini ta’minlashda jamoatchilik nazoratini rivojlantirish masalalari tahlil qilindi. Unda kuzatuv, komparativ, SWOT va kontent tahlili metodlari qo‘llanib, xalqaro tajribalar bilan solishtirildi. O‘zbekiston sharoitida “Ochiq budjet” portali, ishtirokchi byudjetlashtirish mexanizmlari va raqamli nazorat tizimlari ijobiy natijalar berayotganligi muhokama qilindi. Shu bilan birga, mavjud kamchiliklar ham aniqlanib, ularni bartaraf etish uchun aniq takliflar ishlab chiqildi.
DOI: 10.17026/ar/jzmggu
title: PAN-00105127 - coin/coin-related, Constantinus I (306-337), voor Constantius II, naar, nummus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00105127&lt;/p&gt;
description: Modified: 2025-05-26T11:54:24+02:00
DOI: 10.15468/dl.yyannk
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((9.75279 52.23456,15.97981 52.23456,15.97981 54.72430,9.75279 54.72430,9.75279 52.23456))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Labia minor"
 ]
}

 The dataset includes 38 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058490-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3vkrk3
title: Occurrence Download

description: A dataset containing 394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Zygochlamys patagonica, Chlamys lischkei, Chlamys patagonica, Chlamys patriae, Chlamys rufiradiatus, Chlamys tenuicostatus, Pecten amandi, Pecten australis, Pecten lischkei, Pecten patagonicus, Pecten rosaceus, Pecten rufiradiatus, Pecten tenuicostatus, Psychrochlamys patagonica)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 394 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058491-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t5u26x
title: Occurrence Download

description: A dataset containing 228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dianthus giganteiformis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 228 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058493-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/vvqqsg
title: PAN-00104913 - coin/coin-related, Constantius II (337-361), nummus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00104913&lt;/p&gt;
description: Modified: 2025-05-06T16:45:05+02:00
DOI: 10.5281/zenodo.17185804
title: GRSF Areas Database

description: The GRSF Areas Database is a collaborative initiative of the Food and Agriculture Organization of the United Nations (FAO), the University of Washington, and the Sustainable Fisheries Partnership (SFP). It represents the most comprehensive global repository of spatial information on areas related to fisheries and stocks, encompassing biological distribution areas, assessment areas, statistical areas, and management areas.The database integrates official geospatial information provided by national authorities and international organizations such as Regional Fisheries Bodies (RFBs) and Regional Fisheries Management Organizations (RFMOs). Construction of the GRSF ADB relies exclusively on authoritative sources—including official maps, GIS portals, area coordinates, and official codes—which are subsequently harmonized through the geoflow framework to ensure compliance with GRSF Standards.The GRSF Areas Database serves as the foundation of the GRSF geospatial components, enabling the georeferencing and visualization of stocks and fisheries, supporting data alignment across source databases, and ensuring consistent spatial representation of fisheries related areas worldwide.
description: The data management workflow was automated using the geoflow R package (available at https://github.com/r-geoflow/geoflow) using the following steps



Data sources compilation: GRSF Areas data sources were compiled in an harmonized data table following the standard DublinCore metadata model of geoflow. The inventory is available at https://docs.google.com/spreadsheets/d/1sm_QADBrshIeuqDuK9qQfy404NSxLEmFVjwoXVQ7dEw/edit?usp=sharing

Processing: Each data source was processed using a R geoflow (configuration at https://github.com/GRSF/water_areas_geoflow/blob/main/config_grsf_water_areas.json) to produced a set of standardized geopackages. Next, the set of geopackage were bundled all together. Areas that are not publishable (due for legal interoperability issues) were processed / simplified as bounding boxes. Other area polygons were post-processed (using a generalization algorithm) to harmonize the spatial resolution and minimize the spatial heterogeneity among data sources. The full dataset was exported as geopackage.

Upload and publication: Geographic areas were published as geospatial layer in the FAO Fisheries & Aquaculture GeoServer (available at https://www.fao.org/fishery/geoserver). Geographic information metadata is made available in the FAO Fisheries & Aquaculture GeoNetwork (available at https://www.fao.org/fishery/geonetwork) and through the GeoInfo portal (available at https://www.fao.org/fishery/geoserver/geoinfo/)
DOI: 10.5281/zenodo.17977576
title: GRSF Areas Database

description: The GRSF Areas Database is a collaborative initiative of the Food and Agriculture Organization of the United Nations (FAO), the University of Washington, and the Sustainable Fisheries Partnership (SFP). It represents the most comprehensive global repository of spatial information on areas related to fisheries and stocks, encompassing biological distribution areas, assessment areas, statistical areas, and management areas.The database integrates official geospatial information provided by national authorities and international organizations such as Regional Fisheries Bodies (RFBs) and Regional Fisheries Management Organizations (RFMOs). Construction of the GRSF ADB relies exclusively on authoritative sources—including official maps, GIS portals, area coordinates, and official codes—which are subsequently harmonized through the geoflow framework to ensure compliance with GRSF Standards.The GRSF Areas Database serves as the foundation of the GRSF geospatial components, enabling the georeferencing and visualization of stocks and fisheries, supporting data alignment across source databases, and ensuring consistent spatial representation of fisheries related areas worldwide.
description: The data management workflow was automated using the geoflow R package (available at https://github.com/r-geoflow/geoflow) using the following steps



Data sources compilation: GRSF Areas data sources were compiled in an harmonized data table following the standard DublinCore metadata model of geoflow. The inventory is available at https://docs.google.com/spreadsheets/d/1sm_QADBrshIeuqDuK9qQfy404NSxLEmFVjwoXVQ7dEw/edit?usp=sharing

Processing: Each data source was processed using a R geoflow (configuration at https://github.com/GRSF/water_areas_geoflow/blob/main/config_grsf_water_areas.json) to produced a set of standardized geopackages. Next, the set of geopackage were bundled all together. Areas that are not publishable (due for legal interoperability issues) were processed / simplified as bounding boxes. Other area polygons were post-processed (using a generalization algorithm) to harmonize the spatial resolution and minimize the spatial heterogeneity among data sources. The full dataset was exported as geopackage.

Upload and publication: Geographic areas were published as geospatial layer in the FAO Fisheries & Aquaculture GeoServer (available at https://www.fao.org/fishery/geoserver). Geographic information metadata is made available in the FAO Fisheries & Aquaculture GeoNetwork (available at https://www.fao.org/fishery/geonetwork) and through the GeoInfo portal (available at https://www.fao.org/fishery/geoserver/geoinfo/)
DOI: 10.5281/zenodo.17977768
title: ИНТЕРПРЕТАЦИЯ ТЕМЫ ОТВЕТСТВЕННОСТИ ЧЕЛОВЕКА ПЕРЕД ОБЩЕСТВОМ В ТВОРЧЕСТВЕ ПИСАТЕЛЕЙ-ГУМАНИСТОВ

description: В статье рассматривается интерпретация темы ответственности человека перед обществом в творчестве писателей-гуманистов XIX–XX веков. Анализируются взгляды Л. Н. Толстого, Ф. М. Достоевского, А. Камю и А. И. Солженицына на сущность человеческой ответственности, её нравственную, философскую и социальную природу. Показано, что для гуманистической литературы ответственность является внутренним моральным императивом, основанным на совести, духовном самосовершенствовании, стремлении к правде и защите человеческого достоинства. Писатели-гуманисты подчёркивают влияние личного выбора на общественные процессы и судьбу общества. В работе также выявляется актуальность гуманистических идей для современного мира, сталкивающегося с социальными и нравственными кризисами.
DOI: 10.15468/dl.z8chad
title: Occurrence Download

description: A dataset containing 2355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Garrulax maximus"
 ]
}

 The dataset includes 2355 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058495-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17977767
title: ИНТЕРПРЕТАЦИЯ ТЕМЫ ОТВЕТСТВЕННОСТИ ЧЕЛОВЕКА ПЕРЕД ОБЩЕСТВОМ В ТВОРЧЕСТВЕ ПИСАТЕЛЕЙ-ГУМАНИСТОВ

description: В статье рассматривается интерпретация темы ответственности человека перед обществом в творчестве писателей-гуманистов XIX–XX веков. Анализируются взгляды Л. Н. Толстого, Ф. М. Достоевского, А. Камю и А. И. Солженицына на сущность человеческой ответственности, её нравственную, философскую и социальную природу. Показано, что для гуманистической литературы ответственность является внутренним моральным императивом, основанным на совести, духовном самосовершенствовании, стремлении к правде и защите человеческого достоинства. Писатели-гуманисты подчёркивают влияние личного выбора на общественные процессы и судьбу общества. В работе также выявляется актуальность гуманистических идей для современного мира, сталкивающегося с социальными и нравственными кризисами.
DOI: 10.48788/dvua/utuhlt
title: Data for: Correlated electronic structure and local spin in lead-copper-vanadium-bromine apatite: a DMFT study

description: This dataset contains the input files, output data, and post-processing scripts associated with the DFT+DMFT study of the copper-substituted lead–vanadium bromine apatite Pb9Cu(VO4)6Br2 (arXiv:2511.04475). It supports the analysis of correlated electronic structure, spectral properties, and local spin dynamics over a range of temperatures and band fillings. The dft_input directory includes Quantum ESPRESSO and Wannier90 input files used to construct the non-interacting electronic structure and low-energy Wannier Hamiltonians. The dmft-config-files folder contains DFT+DMFT configuration files for calculations performed with the TRIQS/solid_dmft framework. Raw outputs of the DMFT calculations are stored in dmft-output-files. Processed results, such as observables and the analytically continued spectral funciton, are collected in dmft-results. The plots directory provides the scripts used to generate the figures in the manuscript.
DOI: 10.15468/dl.3c3zk6
title: Occurrence Download

description: A dataset containing 3724 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicerothamnus rhinocerotis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3724 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058496-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17977756
title: Replication Package: Fairness-First Design Thinking for Software Architecture (Version 1)

description: Replication Package for the paper titled, "Fairness First Design Thinking for Sustainability"
DOI: 10.5281/zenodo.17977755
title: Replication Package: Fairness-First Design Thinking for Software Architecture (Version 1)

description: Replication Package for the paper titled, "Fairness First Design Thinking for Sustainability"
DOI: 10.17026/ar/j5n11d
title: PAN-00165484 - helmet

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00165484&lt;/p&gt;
description: Modified: 2025-10-07T10:33:02+02:00
DOI: 10.5281/zenodo.7146635
title: Data Tables

description: Tables in Yabe et al., (2022) submitted to JGR solid earth.
DOI: 10.5281/zenodo.6499672
title: Data Tables

description: Tables in Yabe et al., (2022) submitted to JGR solid earth.
DOI: 10.15468/dl.vvthvh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scaeochlamys squamata, Chlamys squamata, Chlamys subsquamatus, Ostrea squamata, Pallium squamatum, Pecten subsquamatus, Scaeochlamys squamea)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058497-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17977695
title: Silver geochemistry and isotope systematics in Ag-rich mine tailings from Namibia

description: This is a companion dataset to the paper by Vaněk et al., submitted to Soil and Water Research (SWR).

This research was supported by the Johannes Amos Comenius Programme (OP JAC), project No. CZ.02.01.01/00/22_008/0004605, Natural and anthropogenic georisks.

The dataset is published under the Creative Commons Attribution 4.0 International License (CC-BY-4.0). 

This license allows others to distribute, remix, adapt, and build upon the dataset for any purpose, even commercially, as long as they give appropriate credit to the original creator(s).
DOI: 10.5281/zenodo.17977694
title: Silver geochemistry and isotope systematics in Ag-rich mine tailings from Namibia

description: This is a companion dataset to the paper by Vaněk et al., submitted to Soil and Water Research (SWR).

This research was supported by the Johannes Amos Comenius Programme (OP JAC), project No. CZ.02.01.01/00/22_008/0004605, Natural and anthropogenic georisks.

The dataset is published under the Creative Commons Attribution 4.0 International License (CC-BY-4.0). 

This license allows others to distribute, remix, adapt, and build upon the dataset for any purpose, even commercially, as long as they give appropriate credit to the original creator(s).
DOI: 10.5281/zenodo.17977562
title: The Ideal Flakiness Score: From Literature to Practice - Replication Package

description: This is the replication package for the paper "The Ideal Flakiness Score: From Literature to Practice".

It contains the results of the questionnaire administered during the study.
DOI: 10.5281/zenodo.17977561
title: The Ideal Flakiness Score: From Literature to Practice - Replication Package

description: This is the replication package for the paper "The Ideal Flakiness Score: From Literature to Practice".

It contains the results of the questionnaire administered during the study.
DOI: 10.15468/dl.xpd7b5
title: Occurrence Download

description: A dataset containing 927 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Didelta carnosa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 927 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058498-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eh8gqn
title: Occurrence Download

description: A dataset containing 197911 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "GadmGid is CAN.2_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Selasphorus rufus"
 ]
}

 The dataset includes 197911 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058461-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5vxm93
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "CatalogNumber" : [
 "is one of (K-M000822785, K-M000822801, K-M000822841, K-M000822842, K-M000822843, K-M000823136, K-M000823150, K-M000823177, K-M000823178, K-M000837465, K-M000868903, K-M000948191, K-M000948192, K-M000948193, K-M000948315, K-M000948317, K-M000948318, K-M000948319, K-M000948983, K-M000948984, K-M000949093, K-M000949094, K-M000949121, K-M000949123, K-M000949126, K-M000949142, K-M000949143, K-M000949144, K-M000949173, K-M000949174, K-M000950545, K-M000950546, K-M000950549, K-M000950708, K-M000951196, K-M000951276, K-M000951317, K-M000951832, K-M000951854, K-M000951855, K-M000951856, K-M000951857, K-M000955090, K-M000963453, K-M000963454, K-M000974224, K-M001044026, K-M001044027, K-M001044029, K-M001044030)"
 ]
}

 The dataset includes 50 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058499-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/hsgodt
title: PAN-00106128 - coin/coin-related, Gallië (Vindex ?), denarius

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00106128&lt;/p&gt;
description: Modified: 2025-07-07T09:30:54+02:00
DOI: 10.21223/p3/iqkisp
title: Dataset for: Sentinel-2 image time series for multi-annual crop type classification in the Peruvian Andes: A case study in Chugay (La Libertad)

description: This repository contains multi-annual crop classification data for the Chugay district, Peru. The imagery was retrieved from Google Earth Engine collections: COPERNICUS/S2_SR, COPERNICUS/S2_CLOUD_PROBABILITY, and GOOGLE/CLOUD_SCORE_PLUS/V1/S2_HARMONIZED, and processed using the Python function export_s2_images from the s2_gee_utils module in the GitHub repository https://github.com/kundun14/multi-annual-crop-classification-with-phenological-features The dataset includes: 1) AOI: Vector file defining the study region, 2) Cropland boundaries: Polygons of sampled fields, and 3) NDVI and EVI time series: Tabular field-level data with quality flags. "
DOI: 10.15468/dl.wp8tt5
title: Occurrence Download

description: A dataset containing 835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Garrulax ocellatus"
 ]
}

 The dataset includes 835 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058501-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.