cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6wv9ey
title: Occurrence Download

description: A dataset containing 72944 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "TaxonKey is Erica tetralix"
 ]
}

 The dataset includes 72944 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026979-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7807/immo:red:wm:suf:v5.2
title: RWI Real Estate Data- Wohnungsmiete - suf
title: RWI Real Estate Data - Apartments for Rent - suf

description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: RWI-GEO-RED
description: RWI-GEO-RED
description: Computer-based observation
description: alle Wohnungen zur Miete auf der Webseite ImmobilienScout24
description: all appartments for rent at ImmobilienScout24
description: full sample
DOI: 10.5522/04/31304725
title: Aggregated Survey Data

description: Raw data and materials supporting the results or analyses in this collection<b>Surveys</b>: A preliminary survey was developed to ensure that the workshop’s learning outcomes aligned with participants’ needs. A voluntary, anonymous, preliminary survey using a 5-point Likert scale was conducted prior to the start of the workshop. It included questions on the frequency of participants’ practical interactions with researchers (never, rarely, sometimes, often, very often), their perceived inclusion in scientific discussions and decision-making (not at all, slightly, somewhat, mostly, fully), and their confidence in creating and presenting a scientific poster (strongly disagree, somewhat disagree, neutral, somewhat agree, agree). Participants also provided information about their professional level (junior AT, mid-level AT, senior AT, or manager). Survey responses were collected in two different formats across the two workshops. In one workshop, responses were gathered electronically via Microsoft Forms alongside facilitated discussion, while in the other workshop, responses were collected using Post-it notes placed on poster easels, again accompanied by group discussion.At the end of each workshop, the group feedback discussion was complemented by a 5-point Likert-scale feedback form that included a free-text section. The feedback survey focused on participants' satisfaction with the workshop, the quality of the presentation and the effectiveness of the poster design (strongly not satisfied, not satisfied, neutral, satisfied, strongly satisfied).<b>Statistics</b>: Survey results were assessed by calculating the percentage of respondents for each Likert-scale point and visually presented as parts of a whole using Prism (GraphPad). Data from the five-point Likert scale survey were analysed statistically using an observed-versus-random approach, assuming a random distribution evenly spread across all scale points. A chi-square goodness-of-fit test was then conducted using the Wilson/Brown method available in Prism (GraphPad).
DOI: 10.5522/04/31304725.v1
title: Aggregated Survey Data

description: Raw data and materials supporting the results or analyses in this collection<b>Surveys</b>: A preliminary survey was developed to ensure that the workshop’s learning outcomes aligned with participants’ needs. A voluntary, anonymous, preliminary survey using a 5-point Likert scale was conducted prior to the start of the workshop. It included questions on the frequency of participants’ practical interactions with researchers (never, rarely, sometimes, often, very often), their perceived inclusion in scientific discussions and decision-making (not at all, slightly, somewhat, mostly, fully), and their confidence in creating and presenting a scientific poster (strongly disagree, somewhat disagree, neutral, somewhat agree, agree). Participants also provided information about their professional level (junior AT, mid-level AT, senior AT, or manager). Survey responses were collected in two different formats across the two workshops. In one workshop, responses were gathered electronically via Microsoft Forms alongside facilitated discussion, while in the other workshop, responses were collected using Post-it notes placed on poster easels, again accompanied by group discussion.At the end of each workshop, the group feedback discussion was complemented by a 5-point Likert-scale feedback form that included a free-text section. The feedback survey focused on participants' satisfaction with the workshop, the quality of the presentation and the effectiveness of the poster design (strongly not satisfied, not satisfied, neutral, satisfied, strongly satisfied).<b>Statistics</b>: Survey results were assessed by calculating the percentage of respondents for each Likert-scale point and visually presented as parts of a whole using Prism (GraphPad). Data from the five-point Likert scale survey were analysed statistically using an observed-versus-random approach, assuming a random distribution evenly spread across all scale points. A chi-square goodness-of-fit test was then conducted using the Wilson/Brown method available in Prism (GraphPad).
DOI: 10.5281/zenodo.18677902
title: Key dataset and code used in the paper "Abrupt surface water decline during 2023–2024 record warming"

description: Summary

This repository contains the comprehensive dataset and source code supporting the study "Abrupt surface water decline during 2023–2024 record warming."

The dataset integrates global-scale streamflow simulations, satellite-derived surface water storage variations, and hydroclimatic attribution analyses. It combines a machine learning framework for hydrological modeling with Landsat/GSW-based surface water monitoring to assess global water dynamics from 1991 to 2024.

Dataset Structure

The data is organized into two primary directories under the Data folder:

1. Lakes_and_meteorological_driving



Code (01_Code): Scripts for processing Landsat/GSW data to calculate surface water storage changes.




Hydroclimatic Data (02_Hydroclimatic_Data): Annual time-series (1991–2024) for Streamflow (Q), Precipitation (P), Temperature (TA), Leaf Area Index (LAI), and Water Storage (derived from Landsat & GSW).

SHAP Analysis (03_SHAP_Analysis): Machine learning attribution results identifying the drivers of streamflow change (importance of P, TA, and LAI).

Geospatial (04_Shapefile): Basin boundaries (HydroSHEDS Level 4) with Aridity Index attributes.


2. Streamflow



Simulation Framework: A transfer-learning approach using an ensemble of five machine learning models (Random Forest, GBM, SVM, NN, GPR) weighted by Bayesian Model Averaging (BMA).

Coverage: Monthly streamflow simulations for 986 HydroSHEDS basins globally.

Contents:



Inputs: Trained model objects, BMA weights, and global basin geometries.

Outputs: Final simulated monthly streamflow and performance visualizations.

Code: MATLAB scripts for model global extrapolation/mapping (step4).




 

Temporal Coverage: 1991 – 2024

Spatial Coverage: Global (HydroSHEDS Level 4 basins)

Key Identifiers: Basins are linked across all files via the HYBAS_ID.
DOI: 10.5281/zenodo.18677901
title: Key dataset and code used in the paper "Abrupt surface water decline during 2023–2024 record warming"

description: Summary

This repository contains the comprehensive dataset and source code supporting the study "Abrupt surface water decline during 2023–2024 record warming."

The dataset integrates global-scale streamflow simulations, satellite-derived surface water storage variations, and hydroclimatic attribution analyses. It combines a machine learning framework for hydrological modeling with Landsat/GSW-based surface water monitoring to assess global water dynamics from 1991 to 2024.

Dataset Structure

The data is organized into two primary directories under the Data folder:

1. Lakes_and_meteorological_driving



Code (01_Code): Scripts for processing Landsat/GSW data to calculate surface water storage changes.




Hydroclimatic Data (02_Hydroclimatic_Data): Annual time-series (1991–2024) for Streamflow (Q), Precipitation (P), Temperature (TA), Leaf Area Index (LAI), and Water Storage (derived from Landsat & GSW).

SHAP Analysis (03_SHAP_Analysis): Machine learning attribution results identifying the drivers of streamflow change (importance of P, TA, and LAI).

Geospatial (04_Shapefile): Basin boundaries (HydroSHEDS Level 4) with Aridity Index attributes.


2. Streamflow



Simulation Framework: A transfer-learning approach using an ensemble of five machine learning models (Random Forest, GBM, SVM, NN, GPR) weighted by Bayesian Model Averaging (BMA).

Coverage: Monthly streamflow simulations for 986 HydroSHEDS basins globally.

Contents:



Inputs: Trained model objects, BMA weights, and global basin geometries.

Outputs: Final simulated monthly streamflow and performance visualizations.

Code: MATLAB scripts for model global extrapolation/mapping (step4).




 

Temporal Coverage: 1991 – 2024

Spatial Coverage: Global (HydroSHEDS Level 4 basins)

Key Identifiers: Basins are linked across all files via the HYBAS_ID.
DOI: 10.15468/dl.w9cxjw
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Suaeda fruticosa"
 ]
}

 The dataset includes 110 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027019-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e245960
title: Data and Code for: "Financial technologies and economic resilience from COVID-19"

description: These files replicate the results from "Financial technologies and economic resilience from COVID-19." We examine the relation between financial technologies (fintech) and countries’ economic resilience from COVID-19 worldwide. Measuring the demand for fintech services using Google search volumes of fintech-related phrases, we document that developing countries and those with underdeveloped fintech industries exhibit more significant fintech demand surges during the pandemic. Moreover, fintech development before COVID is positively associated with GDP growth and negatively related to unemployment rates during the pandemic. We develop a comprehensive economic resilience measure to capture both the speed and strength of economic resistance and recovery in response to the pandemic shock. Our analysis reveals that fintech can be an essential enabler and accelerator of economic growth, contributing to economic stability and resilience from the global health crisis.
DOI: 10.3886/e245960v1
title: Data and Code for: "Financial technologies and economic resilience from COVID-19"

description: These files replicate the results from "Financial technologies and economic resilience from COVID-19." We examine the relation between financial technologies (fintech) and countries’ economic resilience from COVID-19 worldwide. Measuring the demand for fintech services using Google search volumes of fintech-related phrases, we document that developing countries and those with underdeveloped fintech industries exhibit more significant fintech demand surges during the pandemic. Moreover, fintech development before COVID is positively associated with GDP growth and negatively related to unemployment rates during the pandemic. We develop a comprehensive economic resilience measure to capture both the speed and strength of economic resistance and recovery in response to the pandemic shock. Our analysis reveals that fintech can be an essential enabler and accelerator of economic growth, contributing to economic stability and resilience from the global health crisis.
DOI: 10.7807/immo:red:hk:v6.2
title: RWI Real Estate Data - Hauskauf
title: RWI Real Estate Data - Houses for Sale

description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: RWI-GEO-RED
description: RWI-GEO-RED
description: Computer-based observation
description: alle Häuser zum Verkauf auf der Webseite ImmobilienScout24
description: all houses for sale at ImmobilienScout24
description: full sample
DOI: 10.15468/dl.59n74r
title: Occurrence Download

description: A dataset containing 19293333 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is International Barcode of Life project (iBOL)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 19293333 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027000-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.28794.76481
title: From the basketball court to physiotherapy science. I believe real experience + evidence-based knowledge creates the best results.
DOI: 10.15468/dl.92pgdu
title: Occurrence Download

description: A dataset containing 114330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Saint Lucia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Animalia, Basidiomycota, Ascomycota, Plantae)"
 ]
}

 The dataset includes 114330 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026982-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18619851
title: Data and code for "Sources of uncertainty in ocean net primary productivity projections under climate change"

description: This repository provides data and code for the manuscript "Sources of uncertainty in ocean net primary productivity projections under climate change".

It includes python scripts to plot the main figures as well as all necessary input files. Upon publication a final version of these scripts will be made publicly available. 

Pre-processed CMIP6 data are available under https://esgf-ui.ceda.ac.uk/cog/search/cmip6-ceda/. For more information, please contact natacha.legrix@unibe.ch
DOI: 10.15468/dl.sy9wff
title: Occurrence Download

description: A dataset containing 77711 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvelinus fontinalis",
 "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 77711 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026980-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17332674
title: LLM4Weather Dataset (Bundle Batch 1) LatBins[-90.00~-89.00]

description: This dataset contains experimental results from the paper 'LLM4Weather: Global 10-min Meteorological Temporal Super-Resolution via Large Language Models for Data Gap Filling'.

The data includes global meteorological gap-filling outputs at 10-minute resolution. Files are archived per latitude as .tar.gz bundles.
DOI: 10.5281/zenodo.17332675
title: LLM4Weather Dataset (Bundle Batch 1) LatBins[-90.00~-89.00]

description: This dataset contains experimental results from the paper 'LLM4Weather: Global 10-min Meteorological Temporal Super-Resolution via Large Language Models for Data Gap Filling'.

The data includes global meteorological gap-filling outputs at 10-minute resolution. Files are archived per latitude as .tar.gz bundles.
DOI: 10.15468/dl.xp4e9e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Psittaciformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((80 -50,90 -50,90 -40,80 -40,80 -50))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023404-251009101135966/datasets/export for details.
DOI: 10.15468/dl.mh4vvn
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Podicipediformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((120 50,130 50,130 60,120 60,120 50))"
 ]
}

 The dataset includes 41 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023405-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/2ex-e4r-l89
title: Scrophularia L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/wpd-tma-e93
title: Allium rotundum L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/2j9-8wz-yba
title: Lolium rigidum Gaudin

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/q16-wfk-435
title: Ziziphora tenuior L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/xp6-awt-qj7
title: Carex lepidocarpa Tausch

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/7hp-xhm-7zf
title: Plathymenia reticulata Benth.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/nz7-wzf-7nt
title: Gymnadenia conopsea (L.) R. Br.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/xzj-6jl-sbh
title: Dactylis glomerata L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.13140/rg.2.2.31444.30089
title: اندیس یدی
DOI: 10.15468/dl.7ruprj
title: Occurrence Download

description: A dataset containing 2443 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xenopsylla cheopis"
 ]
}

 The dataset includes 2443 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028461-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/egx-mfp-17z
title: Cerastium L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/m2w-6gm-akq
title: Securigera varia (L.) Lassen

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/qj1-k87-cxs
title: Teucrium polium L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.13140/rg.2.2.25362.56007
title: Pochhammer - Chree longitudinal axisymmetric fundamental mode polarization and dispersion
DOI: 10.3535/2ma-ewh-mga
title: Vicia sepium L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/g7x-5b6-jx6
title: Orobanche L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/zf2-0v7-lb8
title: Filipendula vulgaris Moench

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/nma-sjg-blm
title: Euphrasia pectinata Ten.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/pef-gpx-3h4
title: Asyneuma rigidum subsp. rigidum (Willd.) Grossh.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.13140/rg.2.2.17288.52481
title: 2006 Austrian Mathematical Olympiad: Let A be a nonzero integer. Find all integer solutions of the following system of equations: x + y^2 + z^3 = A , 1/x + 1/y^2 + 1/z^3 = A^2 , x (y^2) (z^3) = A2 .
DOI: 10.3535/c1k-la4-bx4
title: Echinops heteromorphus Bunge

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/x09-vbh-kdj
title: Vernonia brasiliana (L.) Druce

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/x9g-ct2-f9r
title: Vernonia Schreb.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/f28-7ys-664
title: Polygala L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/r4f-48h-jq7
title: Elymus trachycaulus (Link) Gould ex Shinners

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/y4l-vl5-0px
title: Salvia nemorosa L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.13140/rg.2.2.28691.78889
title: The price list of the temperature recorder
DOI: 10.3535/337-eej-ngq
title: Cornus mas L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/92r-0lp-7tr
title: Melampyrum chlorostachyum Beauverd

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/pp4-tm8-crt
title: Trifolium repens L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.13140/rg.2.2.12648.57607
title: A multi-layered coating with embedded small particles to improve shielding of space vehicles from intense solar irradiation
DOI: 10.3535/bbp-5rq-eqq
title: Hieracium hypeuryum subsp. lamprocomum Nägeli & Peter

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/rtd-wpx-zfz
title: Teucrium taylorii Boiss.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.