cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hptthp3b4f.1
title: Progress and setbacks in ending hunger among rural women Data set for Systematic literature review

description: This database consists of articles on zero hunger in rural women. We are sharing the search strategy used and the data in RIS format from the WoS, Scopus, and PubMed databases. The complete protocol registration can be found in PROSPERO under the title "Progress and setbacks in ending hunger among rural women: a systematic literature review". Our research group will continue updating the information and will publish the results in a research article. 
TITLE-ABS-KEY ( "Rural Women"  OR  "Rural Population*"  OR  "Rural Area"  OR  "Rural"  OR  "Urban Rural Difference"  OR  "Rural Workers"  OR  "Internal Migration"  OR  "Rural Areas" )  AND  TITLE-ABS-KEY ( ( {land tenure rights}  OR  ( smallholder  AND  ( farm  OR  forestry  OR  pastoral  OR  agriculture  OR  fishery  OR  { food producer}  OR  {food producers} ) )  OR  malnourish*  OR  malnutrition  OR  undernourish*  OR  {undernutrition}  OR  {agric ultural production}  OR  {agricultural productivity}  OR  {agricultural practices}  OR  {agricultural management}  OR  {food production}  OR  {food productivity}  OR  {food security}  OR  {food insecurity}  OR  {land right}  OR  {land rights}  OR  {land reform}  OR  {land reforms}  OR  {resilient agricultural practices}  OR  ( agriculture  AND  potassium )  OR  fertili?er  OR  {food nutrition improvement}  OR  {hidden hunger}  OR  {genetically modified food}  OR  ( gmo  AND  food )  OR  {agroforestry practices}  OR  {agroforestry management}  OR  {agricultural innovation}  OR  ( {food security}  AND  {genetic diversity} )  OR  ( {food market}  AND  ( restriction  OR  tariff  OR  access  OR  {north south divide}  OR  {development governance} ) )  OR  {food governance}  OR  {food supply chain}  OR  {food value chain}  OR  {food commodity market}  AND NOT  {disease} ) )  AND  ( LIMIT-TO ( PUBYEAR ,  2023 )  OR  LIMIT-TO ( PUBYEAR ,  2022 ) )
DOI: 10.17632/hptthp3b4f.2
title: Progress and setbacks in ending hunger among rural women Data set for Systematic literature review

description: This database consists of articles on zero hunger in rural women. We are sharing the search strategy used and the data in RIS format from the WoS, Scopus, and PubMed databases. The complete protocol registration can be found in PROSPERO under the title "Progress and setbacks in ending hunger among rural women: a systematic literature review". Our research group will continue updating the information and will publish the results in a research article. 
TITLE-ABS-KEY ( "Rural Women"  OR  "Rural Population*"  OR  "Rural Area"  OR  "Rural"  OR  "Urban Rural Difference"  OR  "Rural Workers"  OR  "Internal Migration"  OR  "Rural Areas" )  AND  TITLE-ABS-KEY ( ( {land tenure rights}  OR  ( smallholder  AND  ( farm  OR  forestry  OR  pastoral  OR  agriculture  OR  fishery  OR  { food producer}  OR  {food producers} ) )  OR  malnourish*  OR  malnutrition  OR  undernourish*  OR  {undernutrition}  OR  {agric ultural production}  OR  {agricultural productivity}  OR  {agricultural practices}  OR  {agricultural management}  OR  {food production}  OR  {food productivity}  OR  {food security}  OR  {food insecurity}  OR  {land right}  OR  {land rights}  OR  {land reform}  OR  {land reforms}  OR  {resilient agricultural practices}  OR  ( agriculture  AND  potassium )  OR  fertili?er  OR  {food nutrition improvement}  OR  {hidden hunger}  OR  {genetically modified food}  OR  ( gmo  AND  food )  OR  {agroforestry practices}  OR  {agroforestry management}  OR  {agricultural innovation}  OR  ( {food security}  AND  {genetic diversity} )  OR  ( {food market}  AND  ( restriction  OR  tariff  OR  access  OR  {north south divide}  OR  {development governance} ) )  OR  {food governance}  OR  {food supply chain}  OR  {food value chain}  OR  {food commodity market}  AND NOT  {disease} ) )  AND  ( LIMIT-TO ( PUBYEAR ,  2023 )  OR  LIMIT-TO ( PUBYEAR ,  2022 ) )
DOI: 10.17632/626pg2bnsy.1
title: Gopher Tortoise Social and Spatial Structure, Boyd Hill Nature Preserve

description: Social interaction and location data for gopher tortoises in the Boyd Hill Nature Preserve, located in Pinellas County, Florida, USA and the R code needed to perform spatial and social network analysis of the data.  The social interaction data was manually extracted from time-lapse videos taken by camera traps located at the entrance of tortoise burrows.  Location data was collected using radio telemetry.
DOI: 10.17632/z64sv5gwnh.1
title: Free will, folk intuitions, and person standpoints: Evidence from experiments

description: In the dispute between incompatibilism and compatibilism, many philosophers rely on people’s intuitions about free will and moral responsibility. This pushes the so-called “experimental philosophers” to assign importance to experimental studies on folk intuitions about free will and moral responsibility. This paper aims to disclose an important factor that affects the formation of intuitions about free will and moral responsibility, which has been dismissed in the debate. Namely, individual perspectival differences have been overlooked: people may regard the presence or absence of free will and moral responsibility from their own internal point of view (subjective) or from an external (objective) point of view. In two experiments, we demonstrate the effects of the perspectival differences on the formation of beliefs about free will and moral responsibility. The results of our experiments show that apparently compatibilist intuitions about free will and moral responsibility are prompted by adopting the first- and second-person standpoints rather than the third-person standpoint. The results of both experiments, but especially those in the second experiment showed that adopting a second-person standpoint on positively affected judgments on whether people can actually exercise free will in a deterministic world.
DOI: 10.6084/m9.figshare.3761562.v2604
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.17632/n4wyrj86vy.2
title: Using Agent-Based Modeling to Understand and Assess Demographic (In)Equity of Extreme Heat Exposure In Norfolk, VA Due To Lack Of Tree Canopies

description: Prolonged exposure to extreme heat can result in illness and death. In urban areas of dense concentrations of pavement, buildings, and other surfaces that absorb and retain heat, extreme heat conditions can arise regularly and creating a daily harmful environmental exposure for residents during certain parts of the year. Tree canopies provide shade which can help cool the environment, making mature trees with large canopies a simple and effective way to reduce urban heat. In this paper, we use a demographically representative 1 (agent): 1 (person) agent-based model to understand the extent to which within Norfolk, VA different demographics of residents are equitably shaded from extreme heat conditions during a walk on a clear summer day. Then we assess the extent to which the city's Tree Planting Plan will be effective in remediating any existing inequities. Our results show that currently there are inequitable conditions due to heat exposure due to a lack to tree canopies for residents: (1) at different income levels and (2) living in different census tracts. The Tree Planting Program reduces these inequities, however, residents of the city at lower income levels still experience statically significantly more extreme heat exposure due to a lack of tree canopies in summer months than those at higher income levels. The data, source code and figures reflect artifacts that support our findings in this research effort.
DOI: 10.17632/n4wyrj86vy.3
title: Understanding and Assessing Demographic (In)Equity Resulting from Extreme Heat Exposure due to Lack of Tree Canopies in Norfolk, VA using Agent-Based Modeling

description: Prolonged exposure to extreme heat can result in illness and death. In urban areas of dense concentrations of pavement, buildings, and other surfaces that absorb and retain heat, extreme heat conditions can arise regularly and create harmful environmental exposures for residents daily during certain parts of the year. Tree canopies provide shade and help to cool the environment, making mature trees with large canopies a simple and effective way to reduce urban heat. We develop a demographically representative 1 (agent): 1 (person) agent-based model to understand the extent to which different demographics of residents in Norfolk, VA are equitably shaded from extreme heat conditions during a walk on a clear summer day. We use the model to assess the extent to which the city's Tree Planting Plan will be effective in remediating any existing inequities. Our results show that inequitable conditions exist for residents (1) at different education levels, (2) at different income levels and, (3) living in different census tracts. Norfolk's Tree Planting Program effectively reduces the distance residents of all demographics walk in extreme heat. However, residents of the city at lower income levels still experience statically significantly more extreme heat exposure due to a lack of tree canopies in summer months than those at higher income levels.
DOI: 10.17632/n4wyrj86vy.1
title: Using Agent-Based Modeling to Understand and Assess Demographic (In)Equity of Extreme Heat Exposure In Norfolk, VA Due To Lack Of Tree Canopies

description: Prolonged exposure to extreme heat can result in illness and death. In urban areas of dense concentrations of pavement, buildings, and other surfaces that absorb and retain heat, extreme heat conditions can arise regularly and creating a daily harmful environmental exposure for residents during certain parts of the year. Tree canopies provide shade which can help cool the environment, making mature trees with large canopies a simple and effective way to reduce urban heat. In this paper, we use a demographically representative 1 (agent): 1 (person) agent-based model to understand the extent to which within Norfolk, VA different demographics of residents are equitably shaded from extreme heat conditions during a walk on a clear summer day. Then we assess the extent to which the city's Tree Planting Plan will be effective in remediating any existing inequities. Our results show that currently there are inequitable conditions due to heat exposure due to a lack to tree canopies for residents: (1) at different income levels and (2) living in different census tracts. The Tree Planting Program reduces these inequities, however, residents of the city at lower income levels still experience statically significantly more extreme heat exposure due to a lack of tree canopies in summer months than those at higher income levels. The data, source code and figures reflect artifacts that support our findings in this research effort.
DOI: 10.17632/n4wyrj86vy.4
title: Using Agent-Based Modeling to Understand and Assess Demographic (In)Equity of Extreme Heat / Direct Sunlight Exposure In Norfolk, VA Due To Lack Of Tree Canopies

description: Prolonged exposure to extreme heat can result in illness and death. In urban areas of dense concentrations of pavement, buildings, and other surfaces that absorb and retain heat, extreme heat conditions can arise regularly and create harmful environmental exposures for residents daily during certain parts of the year. Tree canopies provide shade and help to cool the environment, making mature trees with large canopies a simple and effective way to reduce urban heat. We develop a demographically representative 1 (agent): 1 (person) agent-based model to understand the extent to which different demographics of residents in Norfolk, VA are equitably shaded from extreme heat conditions during a walk on a clear summer day. We use the model to assess the extent to which the city's Tree Planting Plan will be effective in remediating any existing inequities. Our results show that inequitable conditions exist for residents (1) at different education levels, (2) at different income levels and, (3) living in different census tracts. Norfolk's Tree Planting Program effectively reduces the distance residents of all demographics walk in extreme heat. However, residents of the city at lower income levels still experience statically significantly more extreme heat exposure due to a lack of tree canopies in summer months than those at higher income levels.
DOI: 10.17632/smgvyzy4cp.1
title: Supplementary Material: Dairy Cows Udder Echtotexture and Blood Flow in Dry Period and Lactation

description: This dataset contains supplemental material to the research article: "Udder ultrasonography of dairy cows: Investigating the relationship between echotexture, blood flow, somatic cell count and milk yield during dry period and lactation".

Dataset contents explained:

- 15 tiff files, presenting the 15 Echotexture Parameters' changes throughout the study period: starting from 7 days before the dry period (“DP”), throughout the DP, 7 and 3 days prior to calving, at calving (“C”) and from the 3rd to the 90th day in the new lactation (“DIM”: days in milk). These echotexture parameters are:
- Skewness
- Entropy
- Mean Pixel Standard Deviation
- Run Percentage
- Correlation
- Runlength Distribution
- Mean Numerical Pixel Value
- Contrast
- Percentage Non Zero Gradients
- Excess
- Gradient Mean Value
- Gradient Variance
- Grey Value Distribution
- Long Run Emphasis
- Homogeneity


- An avi. video file presenting a color Doppler ultrasonographic examination of the blood flow in the milk vein of a cow
DOI: 10.17632/smgvyzy4cp.2
title: Supplementary Material: Dairy Cows Udder Echtotexture and Blood Flow in Dry Period and Lactation

description: This dataset contains supplemental material to the research article: "Udder ultrasonography of dairy cows: Investigating the relationship between echotexture, blood flow, somatic cell count and milk yield during dry period and lactation".

Dataset contents explained:

- Tables 5, 6, 7: Ingredients, chemical composition and nutritive value of the total mixed rations provided for the: 1) High Lactation , 2) Low Lactation , 3) and 4) Close-Up (dry period) groups.

- 15 tiff files, presenting the 15 Echotexture Parameters' changes throughout the study period: starting from 7 days before the dry period (“DP”), throughout the DP, 7 and 3 days prior to calving, at calving (“C”) and from the 3rd to the 90th day in the new lactation (“DIM”: days in milk). These echotexture parameters are:
- Skewness
- Entropy
- Mean Pixel Standard Deviation
- Run Percentage
- Correlation
- Runlength Distribution
- Mean Numerical Pixel Value
- Contrast
- Percentage Non Zero Gradients
- Excess
- Gradient Mean Value
- Gradient Variance
- Grey Value Distribution
- Long Run Emphasis
- Homogeneity


- An avi. video file presenting a color Doppler ultrasonographic examination of the blood flow in the milk vein of a cow
DOI: 10.17632/w2r855hpx8.1
title: SoyNet: Indian Soybean Image dataset with quality images captured from the agriculture field ( healthy and disease Images)

description: High-quality images of soybean are required to solve soybean disease and healthy leaves classification and recognition problems. To build the machine learning models, deep learning models with neat and clean dataset is the elementary requirement in research. With this objective, this data set is created, which consists of healthy and disease-quality images of soybean named “SoyNet”. This dataset consists of 4500+ high-quality images of soybeans (healthy and Disease quality) with different angles and Images captured direct from the soybean agriculture field to analyze the real problem in research. The images are divided into 2 sub-folders 1) Raw SoyNet Data and 2) Pre-processing SoyNet Data. Each Sub folder contains a digital camera Click, which contains healthy and disease image folders, and 2) Mobile Phone Click, which contains disease images. The Pre-processing SoyNet Data contains folders of 256*256 resized images and grayscale images in a similar manner to disease and healthy data. A Digital Camera and a Mobile phone with a high-end resolution camera were used to capture the images. The images were taken at the soybean cultivation field in different lighting conditions and backgrounds. The proposed dataset can be used for training, testing, and validation of soybean classification or reorganization models.
DOI: 10.17632/9vztckrhmj.1
title: Human Rights Factors data set

description: HR factors used for asset pricing
DOI: 10.6084/m9.figshare.19160663.v6
title: Bullying10k

description: a dataset about bullying
DOI: 10.25549/wpacards-m16309
title: WPA household census for 1520 N CORONADO, Los Angeles
DOI: 10.25549/wpacards-m16310
title: WPA household census for 1528 N CORONADO, Los Angeles
DOI: 10.25549/wpacards-m16311
title: WPA household census for 1532 N CORONADO, Los Angeles
DOI: 10.25549/wpacards-m16312
title: WPA household census for 1534 N CORONADO, Los Angeles
DOI: 10.25549/wpacards-m16313
title: WPA household census for 1534 N CORONADO, Los Angeles
DOI: 10.25549/wpacards-m24478
title: WPA block face card for household census of Scott, Mohawk, Waterloo, Mayberry Streets, in Los Angeles
DOI: 10.25549/wpacards-m16314
title: WPA household census for 2330 MAYBERRY, Los Angeles
DOI: 10.25549/wpacards-m16315
title: WPA household census for 2324 MAYBERRY, Los Angeles
DOI: 10.25549/wpacards-m16316
title: WPA household census for 2320 MAYBERRY, Los Angeles
DOI: 10.25549/wpacards-m16317
title: WPA household census for 2316 MAYBERRY, Los Angeles
DOI: 10.25549/wpacards-m16318
title: WPA household census for 2316 MAYBERRY, Los Angeles
DOI: 10.25549/wpacards-m16319
title: WPA household census for 2310 MAYBERRY, Los Angeles
DOI: 10.25549/wpacards-m16320
title: WPA household census for 1509 MOHAWK, Los Angeles
DOI: 10.25549/wpacards-m16321
title: WPA household census for 1511 MOHAWK, Los Angeles
DOI: 10.25549/wpacards-m16322
title: WPA household census for 1507 MOHAWK, Los Angeles
DOI: 10.25549/wpacards-m16323
title: WPA household census for 1505 MOHAWK, Los Angeles
DOI: 10.25549/wpacards-m16324
title: WPA household census for 1461 MOHAWK, Los Angeles
DOI: 10.25549/wpacards-m16325
title: WPA household census for 1459 MOHAWK, Los Angeles
DOI: 10.25549/wpacards-m16326
title: WPA household census for 1451 MOHAWK, Los Angeles
DOI: 10.25549/wpacards-m16327
title: WPA household census for 1453 MOHAWK, Los Angeles
DOI: 10.25549/wpacards-m16328
title: WPA household census for 2307 SCOTT, Los Angeles
DOI: 10.25549/wpacards-m16329
title: WPA household census for 2311 SCOTT, Los Angeles
DOI: 10.25549/wpacards-m16330
title: WPA household census for 2315 SCOTT, Los Angeles
DOI: 10.25549/wpacards-m16331
title: WPA household census for 2321 SCOTT, Los Angeles
DOI: 10.25549/wpacards-m16332
title: WPA household census for 2325 SCOTT, Los Angeles
DOI: 10.25549/wpacards-m16333
title: WPA household census for 1504 WATERLOO, Los Angeles
DOI: 10.25549/wpacards-m16334
title: WPA household census for 1506 WATERLOO, Los Angeles
DOI: 10.25549/wpacards-m51732
title: WPA household census for 504 E 7TH ST, Los Angeles
DOI: 10.25549/wpacards-m51733
title: WPA household census for 512 E 7TH ST, Los Angeles
DOI: 10.25549/wpacards-m51734
title: WPA household census for 781 S SAN PEDRO, Los Angeles
DOI: 10.25549/wpacards-m51735
title: WPA household census for 781 S SAN PEDRO, Los Angeles
DOI: 10.25549/wpacards-m51736
title: WPA household census for 781 S SAN PEDRO, Los Angeles
DOI: 10.25549/wpacards-m51737
title: WPA household census for 781 S SAN PEDRO, Los Angeles
DOI: 10.25549/wpacards-m51738
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51739
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51740
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51741
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51742
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51743
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51744
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51745
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51746
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51747
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51748
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51749
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51750
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51751
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51752
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51753
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51754
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51755
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51756
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51757
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51758
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51759
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51760
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51761
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51762
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51763
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51764
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51765
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51766
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51767
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51768
title: WPA household census for 766 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51769
title: WPA household census for 762 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51770
title: WPA household census for 762 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51771
title: WPA household census for 762 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51772
title: WPA household census for 762 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51773
title: WPA household census for 762 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51774
title: WPA household census for 762 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51775
title: WPA household census for 762 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51776
title: WPA household census for 762 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51777
title: WPA household census for 762 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51778
title: WPA household census for 762 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51779
title: WPA household census for 758 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51780
title: WPA household census for 758 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51781
title: WPA household census for 746 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51782
title: WPA household census for 746 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51783
title: WPA household census for 744 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51785
title: WPA household census for 744 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51786
title: WPA household census for 744 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51787
title: WPA household census for 746 SAN JULIAN, Los Angeles
DOI: 10.25549/wpacards-m51788
title: WPA household census for 742 SAN JULIAN, Los Angeles