cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15493/dea.mims.04562023
title: Long-term observations of hourly bottom temperatures at Ystervarkpunt (March 1999 - July 1999)

description: Bottom temperatures
description: Here we present processed hourly subsurface temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 25 March 1999 and 10 July 1999. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperatures in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: Subsurface-mounted, Underwater Temperature Recorder(s) (UTR) were deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument(s) measured hourly temperature(s) readings between 25 March 1999 18h00 and 10 July 1999 08h00.
DOI: 10.60893/figshare.apl.30174040
title: Additional Material for Reviewer

description: The supplementary material contains Experimental and characterization techniques, Morphology and elemental analysis, and thermoelectric transport properties of MnSi-based compounds.
DOI: 10.15493/dea.mims.04722023
title: Raw temperature data for long-term observations of bottom temperatures at Ystervarkpunt (May 1996 - August 1996)

description: Bottom temperatures
description: Here we present raw temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 02 May 1996 and 15 August 1996. Note that the data that falls outside of these dates is not from the deployment. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperature in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: The raw data was collected using Underwater temperature Recorder(s) (UTR) that was configured to sample every 60 minutes. The subsurface-mounted, Underwater Temperature Recorder(s) (UTR) was deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument(s) measured hourly temperature readings between 02 May 1996 and 15 August 1996.
DOI: 10.7910/dvn/ekr7wc
title: Replication Data for: 'Sexual Harassment in Public Spaces and Police Patrols: Experimental Evidence from Urban India'

description: The data and programs replicate tables and figures from "Sexual Harassment in Public Spaces and Police Patrols: Experimental Evidence from Urban India," by Amaral, Borker, Fiala, Kumar, Prakash, and Sviatschi. 

The files are too large to host on the Harvard Dataverse, and are available for download here: https://hu.sharepoint.com/:f:/s/HarvardEconomicsDatasets/EgAleNJIMbVNgYoJ5r3GCRoBbBeXmthTmCcaQsacqB93_A?e=lF6S9h

Please see the README_FV file for additional details.
DOI: 10.15493/dea.mims.04792023
title: Raw temperature data for long-term observations of bottom temperatures at Ystervarkpunt (March 1999 - July 1999)

description: Bottom temperatures
description: Here we present raw temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 25 March 1999 and 10 July 1999. Note that the data that falls outside of these dates is not from the deployment. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperature in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: The raw data was collected using Underwater temperature Recorder(s) (UTR) that was configured to sample every 60 minutes. The subsurface-mounted, Underwater Temperature Recorder(s) (UTR) was deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument(s) measured hourly temperature readings between 25 March 1999 and 10 July 1999.
DOI: 10.15493/dea.mims.04742023
title: Raw temperature data for long-term observations of bottom temperatures at Ystervarkpunt (November 1996 - March 1997)

description: Bottom temperatures
description: Here we present raw temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 15 November 1996 and 17 March 1997. Note that the data that falls outside of these dates is not from the deployment. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperature in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: The raw data was collected using Underwater temperature Recorder(s) (UTR) that was configured to sample every 60 minutes. The subsurface-mounted, Underwater Temperature Recorder(s) (UTR) was deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument(s) measured hourly temperature readings between 15 November 1996 and 17 March 1997.
DOI: 10.15468/dl.taz7sn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eurypygiformes)",
 "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((-30 70,-20 70,-20 80,-30 80,-30 70))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018782-251009101135966/datasets/export for details.
DOI: 10.15493/dea.mims.04892023
title: Raw temperature data for long-term observations of bottom temperatures at Ystervarkpunt (August 2005 - June 2006)

description: Bottom temperatures
description: Here we present raw temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 06 August 2005 and 23 June 2006. Note that the data that falls outside of these dates is not from the deployment. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperature in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: The raw data was collected using Underwater temperature Recorder(s) (UTR) that was configured to sample every 60 minutes. The subsurface-mounted, Underwater Temperature Recorder(s) (UTR) was deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument(s) measured hourly temperature readings between 06 August 2005 and 23 June 2006.
DOI: 10.15493/dea.mims.04812023
title: Raw temperature data for long-term observations of bottom temperatures at Ystervarkpunt (November 1999 - April 2000)

description: Bottom temperatures
description: Here we present raw temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 24 November 1999 and 13 April 2000. Note that the data that falls outside of these dates is not from the deployment. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperature in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: The raw data was collected using Underwater temperature Recorder(s) (UTR) that was configured to sample every 60 minutes. The subsurface-mounted, Underwater Temperature Recorder(s) (UTR) was deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument(s) measured hourly temperature readings between 24 November 1999 and 13 April 2000.
DOI: 10.15468/dl.npbpts
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eurypygiformes)",
 "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((-40 70,-30 70,-30 80,-40 80,-40 70))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018783-251009101135966/datasets/export for details.
DOI: 10.15493/dea.mims.04712023
title: Raw temperature data for long-term observations of bottom temperatures at Ystervarkpunt (October 1995 - May 1996)

description: Bottom temperatures
description: Here we present raw temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 23 October 1995 and 02 May 1996. Note that the data that falls outside of these dates is not from the deployment. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperature in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: The raw data was collected using Underwater temperature Recorder(s) (UTR) that was configured to sample every 60 minutes. The subsurface-mounted, Underwater Temperature Recorder(s) (UTR) was deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument(s) measured hourly temperature readings between 23 October 1995 and 02 May 1996.
DOI: 10.15493/dea.mims.04522023
title: Long-term observations of hourly bottom temperatures at Ystervarkpunt (March 1997 - January 1998)

description: Bottom temperatures
description: Here we present processed hourly subsurface temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 17 March 1997 and 27 January 1998. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperatures in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: Subsurface-mounted, Underwater Temperature Recorder(s) (UTR) were deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument(s) measured hourly temperature(s) readings between 17 March 1997 15h00 and 27 January 1998 10h00.
DOI: 10.15493/dea.mims.04762023
title: Raw temperature data for long-term observations of bottom temperatures at Ystervarkpunt (January 1998 - July 1998)

description: Bottom temperatures
description: Here we present raw temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 27 January 1998 and 13 July 1998. Note that the data that falls outside of these dates is not from the deployment. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperature in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: The raw data was collected using Underwater temperature Recorder(s) (UTR) that was configured to sample every 60 minutes. The subsurface-mounted, Underwater Temperature Recorder(s) (UTR) was deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument(s) measured hourly temperature readings between 27 January 1998 and 13 July 1998.
DOI: 10.15493/dea.mims.04642023
title: Long-term observations of hourly bottom temperatures at Ystervarkpunt (November 2002 - November 2003)

description: Bottom temperatures
description: Here we present processed hourly subsurface temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 29 November 2002 and 17 November 2003. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperatures in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: Subsurface-mounted, Underwater Temperature Recorder(s) (UTR) were deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument(s) measured hourly temperature(s) readings between 29 November 2002 13h00 and 17 November 2003 12h00.
DOI: 10.17632/69x7bkrd7y.1
title: Halma

description: The data support a comparison between Halma, a routing technique designed to mitigate defects, and methods such as Superstabilizer and LUCI.
DOI: 10.17632/s92h3b9n75.1
title: Replication package for ‘‘Understanding and Analyzing Changes in Poverty among the Elderly across 16 European Countries Using Decomposition Approach’’

description: This replication package contains all the data access, code, and instructions to reproduce the results presented in the paper:
Paper title: Understanding and Analyzing Changes in Poverty among the Elderly across 16 European Countries Using Decomposition Approach
DOI: 10.17632/wc32db8t4k
title: Data

description: This dataset contains the experimental supporting the findings of the paper entitled “Dynamic response and failure evolution of pouch lithium-ion batteries under impact loading.”
DOI: 10.17632/wc32db8t4k.1
title: Data

description: This dataset contains the experimental supporting the findings of the paper entitled “Dynamic response and failure evolution of pouch lithium-ion batteries under impact loading.”
DOI: 10.17632/6p2zsx76vr
title: Experimental and hypoplastic model investigation of frozen soil mechanics: Integrating confining pressure, temperature, and ice content effects

description: Results of triaxial shear test and constitutive model of frozen soil
DOI: 10.17632/6p2zsx76vr.1
title: Experimental and hypoplastic model investigation of frozen soil mechanics: Integrating confining pressure, temperature, and ice content effects

description: Results of triaxial shear test and constitutive model of frozen soil
DOI: 10.17632/rt973npcj3.1
title: Dataset: Impacts of Hydrological Drought Propagation and Recovery

description: This dataset is used to study the influencing factors of hydrological drought propagation and recovery. It includes: MWSEP precipitation data, AVHRR land cover data, and HydroSHEDs basin data.
DOI: 10.17632/ww3p5j97px
title: Macroinvertebrate/environmental data and R script: Using taxa accumulation curves to evaluate macroinvertebrate sampling effectiveness of two handnet and a driftnet methods across water body types

description: These data files here contain the enviromental variables, fielddata, and the macroinvertebrate data for the standard, subsampling and driftnet method used in the paper. Also attached here is a script for calculating average models for taxa accumulation curves based onWeibull, Logarithmic, Negative Exponential, Asymptotic, and Monod models. We used the ‘vegan’ package (v2.6-8; Oksanen et al. 2024) under R Studio version 4.4.2 (R Core Team 2023).

Abstract: 
Aquatic macroinvertebrates are key indicators of freshwater ecosystem health, yet effectively sampling their diversity remains challenging due to habitat heterogeneity and method limitations. This study evaluated three sampling approaches - standard handnet sampling, habitat-based subsampling, and driftnet collection - across various waterbody types. Using taxa accumulation curves (TACs), we compared the effectiveness of each method in capturing macroinvertebrate richness and examined whether richness estimates varied by waterbody.
Habitat-based subsampling consistently captured the highest richness (70–90% of estimated total), followed by standard handnet sampling (50–70%) and driftnets (60–70%), although driftnets showed greater variability due to lower organism counts. TACs proved useful for assessing sampling efficiency and richness capture across methods.
While less comprehensive, driftnets provided complementary data by detecting drifting taxa missed by handnet methods and offering insights into diel activity and potential recolonization processes. A combined sampling strategy therefore offers the most complete biodiversity assessment.
If standard methods are used alone, a preliminary habitat assessment is advised to ensure representative sampling. Subsampling strategies that distribute effort across multiple smaller samples were found effective in heterogeneous, but also visually homogeneous waterbodies. Relying on single large samples may misrepresent biodiversity, underscoring the need for tailored approaches to support water management and conservation.
DOI: 10.17632/ww3p5j97px.1
title: Macroinvertebrate/environmental data and R script: Using taxa accumulation curves to evaluate macroinvertebrate sampling effectiveness of two handnet and a driftnet methods across water body types

description: These data files here contain the enviromental variables, fielddata, and the macroinvertebrate data for the standard, subsampling and driftnet method used in the paper. Also attached here is a script for calculating average models for taxa accumulation curves based onWeibull, Logarithmic, Negative Exponential, Asymptotic, and Monod models. We used the ‘vegan’ package (v2.6-8; Oksanen et al. 2024) under R Studio version 4.4.2 (R Core Team 2023).

Abstract: 
Aquatic macroinvertebrates are key indicators of freshwater ecosystem health, yet effectively sampling their diversity remains challenging due to habitat heterogeneity and method limitations. This study evaluated three sampling approaches - standard handnet sampling, habitat-based subsampling, and driftnet collection - across various waterbody types. Using taxa accumulation curves (TACs), we compared the effectiveness of each method in capturing macroinvertebrate richness and examined whether richness estimates varied by waterbody.
Habitat-based subsampling consistently captured the highest richness (70–90% of estimated total), followed by standard handnet sampling (50–70%) and driftnets (60–70%), although driftnets showed greater variability due to lower organism counts. TACs proved useful for assessing sampling efficiency and richness capture across methods.
While less comprehensive, driftnets provided complementary data by detecting drifting taxa missed by handnet methods and offering insights into diel activity and potential recolonization processes. A combined sampling strategy therefore offers the most complete biodiversity assessment.
If standard methods are used alone, a preliminary habitat assessment is advised to ensure representative sampling. Subsampling strategies that distribute effort across multiple smaller samples were found effective in heterogeneous, but also visually homogeneous waterbodies. Relying on single large samples may misrepresent biodiversity, underscoring the need for tailored approaches to support water management and conservation.
DOI: 10.17632/sj9n7mzh2h
title: Association Between Visual Imagery Characteristics and Vividness Ratings: Examining One Component of Imagery Experience in Vividness Measurement Scales

description: This dataset contains the raw data from a study examining the relationships between visual imagery characteristics and vividness ratings during responses to vividness measurement scales. The study focused on visual imagery characteristics as one component of imagery experience, using the Japanese version of the Plymouth Sensory Imagery Questionnaire (Psi-Q).
Study Details:

Sample: 285 Japanese adults (after exclusions) aged 18 and above
Data Collection: April 2021, web-based survey
Original Sample: 301 participants (16 excluded due to reliability check failures and response inconsistencies)
File Format: Excel (.xlsx) with comprehensive English codebook
Usage: This dataset supports the published findings and enables replication analyses and further research into mental imagery assessment.
Contact: Haruna Fukui (Rissho University, Tokyo, Japan), fukui.haru"@"ris.ac.jp
Keywords: mental imagery, vividness measurement, visual imagery characteristics, Psi-Q, psychological assessment
DOI: 10.17632/sj9n7mzh2h.1
title: Association Between Visual Imagery Characteristics and Vividness Ratings: Examining One Component of Imagery Experience in Vividness Measurement Scales

description: This dataset contains the raw data from a study examining the relationships between visual imagery characteristics and vividness ratings during responses to vividness measurement scales. The study focused on visual imagery characteristics as one component of imagery experience, using the Japanese version of the Plymouth Sensory Imagery Questionnaire (Psi-Q).
Study Details:

Sample: 285 Japanese adults (after exclusions) aged 18 and above
Data Collection: April 2021, web-based survey
Original Sample: 301 participants (16 excluded due to reliability check failures and response inconsistencies)
File Format: Excel (.xlsx) with comprehensive English codebook
Usage: This dataset supports the published findings and enables replication analyses and further research into mental imagery assessment.
Contact: Haruna Fukui (Rissho University, Tokyo, Japan), fukui.haru"@"ris.ac.jp
Keywords: mental imagery, vividness measurement, visual imagery characteristics, Psi-Q, psychological assessment
DOI: 10.17632/22v3kcgks3.2
title: Event Extraction Andersen's Fairy Tales

description: The data collection process consisted of compiling texts from three main online platforms: Project Gutenberg (https://www.gutenberg.org/cache/epub/1597/pg1597-images.html ), Andersen Stories (https://www.andersenstories.com/en/andersen_fairy-tales/list ), and the HCA Gilead website (http://hca.gilead.org.il/ ). These resources offered digitized editions of Hans Christian Andersen’s fairy tales, including multiple translations and versions. The texts were gathered using web scraping and text extraction methods. Python tools such as BeautifulSoup were utilized to extract content from HTML, while Pandas was used for organizing and cleaning the collected data. The selection criteria emphasized the relevance to Andersen’s original stories, availability in English, and the completeness of the texts. To normalize the data, HTML tags were removed, titles were made consistent, and the texts were divided into sentences or organized into structured formats based on events (Subject-Verb-Object-Temporal-Location). The datasets are freely available and legally sourced from open-domain websites that offer unrestricted access to literary works, ensuring adherence to copyright and usage regulations.