cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/zjojpp
title: Intercropping_In_row_A12_20240408_145342_mask.png

description: :unav
DOI: 10.57745/dmszwt
title: Intercropping_In_row_A12_20240408_145744_mask.png

description: :unav
DOI: 10.57745/mekzpw
title: Intercropping_Mixed_A12_20240321_160307_mask.png

description: :unav
DOI: 10.57745/y9ka9u
title: Intercropping_In_row_A12_20240422_160301.jpg

description: :unav
DOI: 10.57745/je3s39
title: Intercropping_In_row_A12_20240321_155117.jpg

description: :unav
DOI: 10.57745/dwyleh
title: Intercropping_Mixed_A12_20240422_162155_mask.png

description: :unav
DOI: 10.57745/7p8ql7
title: Intercropping_Mixed_A12_20240321_155930.jpg

description: :unav
DOI: 10.57745/6rondl
title: Intercropping_Mixed_A12_20240408_151408.jpg

description: :unav
DOI: 10.57745/etg4dv
title: Intercropping_Mixed_A12_20240321_155437.jpg

description: :unav
DOI: 10.57745/doufxd
title: Intercropping_In_row_A12_20240422_160139_mask.png

description: :unav
DOI: 10.15468/dl.9d8hsw
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Stellaria dichotoma lanceolata"
 ]
}

 The dataset includes 52 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006127-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/89qbfb
title: Intercropping_In_row_A12_20240408_144955.jpg

description: :unav
DOI: 10.57745/teihda
title: Intercropping_In_row_A12_20240422_160139.jpg

description: :unav
DOI: 10.57745/3l2xkq
title: Intercropping_Mixed_A12_20240321_155930_mask.png

description: :unav
DOI: 10.57745/ltfveu
title: Intercropping_Mixed_A12_20240408_150750_mask.png

description: :unav
DOI: 10.57745/q4lj6n
title: Intercropping_Mixed_A12_20240321_155618_mask.png

description: :unav
DOI: 10.57745/lojgf2
title: Intercropping_In_row_A12_20240408_144955_mask.png

description: :unav
DOI: 10.57745/k5vmxi
title: Intercropping_In_row_A12_20240321_154625_mask.png

description: :unav
DOI: 10.57745/qmowpi
title: Intercropping_Mixed_A12_20240408_151512_mask.png

description: :unav
DOI: 10.57745/vgfcnz
title: Intercropping_Mixed_A12_20240408_150818.jpg

description: :unav
DOI: 10.57745/5evfag
title: Intercropping_In_row_A12_20240321_154535_mask.png

description: :unav
DOI: 10.57745/mxr1nb
title: Intercropping_In_row_A12_20240321_154202_mask.png

description: :unav
DOI: 10.57745/blj1up
title: Intercropping_In_row_A12_20240408_144308_mask.png

description: :unav
DOI: 10.57745/g3jx1q
title: Intercropping_Mixed_A12_20240422_162228.jpg

description: :unav
DOI: 10.57745/loavpu
title: Intercropping_Mixed_A12_20240408_150431_mask.png

description: :unav
DOI: 10.57745/2fm5oi
title: Intercropping_In_row_A12_20240408_145522.jpg

description: :unav
DOI: 10.57745/yuxrou
title: Intercropping_In_row_A12_20240422_160112.jpg

description: :unav
DOI: 10.57745/qt2fcz
title: Intercropping_In_row_A12_20240408_145623_mask.png

description: :unav
DOI: 10.5281/zenodo.17472029
title: Most Critical Factors Responsible For Cost Overruns In Nigeria Building Construction Industry

description: Cost overruns are major problems that face the Nigeria construction industry. Cost overruns can lead to numerous negative effects such as project delay, abandonment and poor quality delivery. It’s of high concern to those who are involved in the construction industry. This study was carried out to identify the major causes of cost overruns in Nigeria building construction industry, by means of a literature review and a questionnaire survey. A total of twenty (20) cost overrun causative factors were obtained from literature. The questionnaire survey was distributed to randomly selected respondents from a combination of clients, consultants, contractors, site-engineers, project-managers and subcontractors. In all, one hundred and forty one (141) questionnaires were distributed to randomly selected respondents (clients, consultants, contractors, site-engineers, project-managers and sub-contractors), one hundred and thirty two (132) questionnaires were returned out of which three (3) questionnaires were found incomplete and invalid. Only one hundred and twenty nine (129) questionnaires were found consistent and valid for use in this research. Relative importance index (RII) and severity index were used to carry out ranking and severity analysis. Based on the data received, six (6) most severe factors of construction cost overrun were identified as: risk and uncertainty related factors (89.5%); lack of financial power by clients (88.5%); weak regulation and control (88.2%); project fraud and corruption (82.6%); variation of prices (81.3%) and indiscriminate change in design/works (80.1%).
DOI: 10.5281/zenodo.17472030
title: Most Critical Factors Responsible For Cost Overruns In Nigeria Building Construction Industry

description: Cost overruns are major problems that face the Nigeria construction industry. Cost overruns can lead to numerous negative effects such as project delay, abandonment and poor quality delivery. It’s of high concern to those who are involved in the construction industry. This study was carried out to identify the major causes of cost overruns in Nigeria building construction industry, by means of a literature review and a questionnaire survey. A total of twenty (20) cost overrun causative factors were obtained from literature. The questionnaire survey was distributed to randomly selected respondents from a combination of clients, consultants, contractors, site-engineers, project-managers and subcontractors. In all, one hundred and forty one (141) questionnaires were distributed to randomly selected respondents (clients, consultants, contractors, site-engineers, project-managers and sub-contractors), one hundred and thirty two (132) questionnaires were returned out of which three (3) questionnaires were found incomplete and invalid. Only one hundred and twenty nine (129) questionnaires were found consistent and valid for use in this research. Relative importance index (RII) and severity index were used to carry out ranking and severity analysis. Based on the data received, six (6) most severe factors of construction cost overrun were identified as: risk and uncertainty related factors (89.5%); lack of financial power by clients (88.5%); weak regulation and control (88.2%); project fraud and corruption (82.6%); variation of prices (81.3%) and indiscriminate change in design/works (80.1%).
DOI: 10.57745/yfpyyh
title: Intercropping_Mixed_A12_20240321_155909.jpg

description: :unav
DOI: 10.57745/nqzhuw
title: Intercropping_In_row_A12_20240321_154842_mask.png

description: :unav
DOI: 10.57745/eq6lhj
title: Intercropping_Mixed_A12_20240408_150530.jpg

description: :unav
DOI: 10.15468/dl.xvrdsh
title: Occurrence Download

description: A dataset containing 8594 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Europe",
 "TaxonKey is Persicaria amphibia"
 ]
}

 The dataset includes 8594 records from 215 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006128-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/zhpukq
title: Intercropping_Mixed_A12_20240321_160458.jpg

description: :unav
DOI: 10.57745/gs1wbw
title: Intercropping_Mixed_A12_20240408_150703_mask.png

description: :unav
DOI: 10.57745/yqud3c
title: Intercropping_Mixed_A12_20240321_155525.jpg

description: :unav
DOI: 10.57745/vt5o4f
title: Intercropping_In_row_A12_20240422_161020_mask.png

description: :unav
DOI: 10.57745/yote9y
title: Intercropping_Mixed_A12_20240422_162754.jpg

description: :unav
DOI: 10.57745/ylw2xw
title: Intercropping_Mixed_A12_20240408_151544_mask.png

description: :unav
DOI: 10.57745/rrxxuv
title: Intercropping_In_row_A12_20240422_161119.jpg

description: :unav
DOI: 10.57745/toduir
title: Intercropping_Mixed_A12_20240422_162704_mask.png

description: :unav
DOI: 10.57745/7q3gzb
title: Intercropping_Mixed_A12_20240422_161450_mask.png

description: :unav
DOI: 10.57745/eqhcl5
title: Intercropping_Mixed_A12_20240408_151007_mask.png

description: :unav
DOI: 10.57745/ihpked
title: Intercropping_Mixed_A12_20240408_150703.jpg

description: :unav
DOI: 10.57745/7q97zg
title: Intercropping_Mixed_A12_20240422_162010.jpg

description: :unav
DOI: 10.57745/y0woqd
title: Intercropping_Mixed_A12_20240422_161756_mask.png

description: :unav
DOI: 10.57745/3ldxul
title: Intercropping_Mixed_A12_20240321_160537.jpg

description: :unav
DOI: 10.57745/wubzoh
title: Intercropping_In_row_A12_20240321_155024_mask.png

description: :unav
DOI: 10.57745/pwegv1
title: Intercropping_Mixed_A12_20240422_162010_mask.png

description: :unav
DOI: 10.57745/29venw
title: Intercropping_Mixed_A12_20240321_160330_mask.png

description: :unav
DOI: 10.57745/plj4d1
title: Intercropping_In_row_A12_20240408_145442_mask.png

description: :unav
DOI: 10.57745/xdsgcm
title: Intercropping_In_row_A12_20240408_144405.jpg

description: :unav
DOI: 10.57745/nkldrm
title: Intercropping_Mixed_A12_20240422_161817_mask.png

description: :unav
DOI: 10.57745/svd13t
title: Intercropping_In_row_A12_20240321_154135_mask.png

description: :unav
DOI: 10.57745/5hf3le
title: Intercropping_Mixed_A12_20240422_161703_mask.png

description: :unav
DOI: 10.57745/jqr8kq
title: Intercropping_In_row_A12_20240321_154124_mask.png

description: :unav
DOI: 10.57745/moxjva
title: Intercropping_In_row_A12_20240422_160354_mask.png

description: :unav
DOI: 10.57745/ucpp5k
title: Intercropping_Mixed_A12_20240321_160127.jpg

description: :unav
DOI: 10.57745/yy6zld
title: Intercropping_Mixed_A12_20240422_161734_mask.png

description: :unav
DOI: 10.57745/jobai6
title: Intercropping_Mixed_A12_20240422_161926.jpg

description: :unav
DOI: 10.57745/e6a7bw
title: Intercropping_In_row_A12_20240422_160046_mask.png

description: :unav
DOI: 10.57745/vv9d2y
title: Intercropping_In_row_A12_20240408_145147.jpg

description: :unav
DOI: 10.57745/jmkjtt
title: Intercropping_In_row_A12_20240321_155051.jpg

description: :unav
DOI: 10.57745/cirvhd
title: Intercropping_Mixed_A12_20240321_155550.jpg

description: :unav
DOI: 10.57745/cxo4sf
title: Intercropping_In_row_A12_20240321_154302_mask.png

description: :unav
DOI: 10.57745/hhnpvy
title: Intercropping_Mixed_A12_20240321_155842.jpg

description: :unav
DOI: 10.57745/fioudq
title: Intercropping_In_row_A12_20240408_145659_mask.png

description: :unav
DOI: 10.57745/g9zpwd
title: Intercropping_Mixed_A12_20240321_155721_mask.png

description: :unav
DOI: 10.57745/k8hsa3
title: Intercropping_Mixed_A12_20240321_155955_mask.png

description: :unav
DOI: 10.57745/mmlelm
title: Intercropping_In_row_A12_20240321_154950.jpg

description: :unav
DOI: 10.57745/y82sr5
title: Intercropping_In_row_A12_20240422_161119_mask.png

description: :unav
DOI: 10.57745/ayv2ct
title: Intercropping_Mixed_A12_20240408_150458_mask.png

description: :unav
DOI: 10.57745/ccvau5
title: Intercropping_Mixed_A12_20240408_151049_mask.png

description: :unav
DOI: 10.57745/forjpk
title: Intercropping_In_row_A12_20240321_154335.jpg

description: :unav
DOI: 10.57745/ta7x5a
title: Intercropping_In_row_A12_20240422_160732.jpg

description: :unav
DOI: 10.57745/qmz3wc
title: Intercropping_In_row_A12_20240408_144736.jpg

description: :unav
DOI: 10.57745/yt5c3s
title: Intercropping_Mixed_A12_20240408_150603_mask.png

description: :unav
DOI: 10.57745/fdcgnr
title: Intercropping_In_row_A12_20240422_160614.jpg

description: :unav
DOI: 10.5281/zenodo.17472238
title: LIAISE dataset

description: This dataset corresponds to LIAISE project. This dataset has been used to validate remote sensing ET estimates obtained within ET4DROUGHT.

The overall objective of this new activity, the Land surface Interactions with the Atmosphere over the Iberian Semi-arid Environment (LIAISE) project, is to improve our understanding of the impact of anthropization on the water cycle in terms of land-atmosphere-hydrology interactions, and the limitations of models to represent all aspects of the terrestrial water cycle in a semi-arid environment on the Iberian peninsula. The main science questions can be summarized as:



What are the key natural and anthropogenic semi-arid surface processes that modulate or control infiltration and runoff and govern turbulent fluxes and their spatial heterogeneity?

How does anthropization impact boundary layer development, mesoscale circulations and potentially precipitation recycling over this region via feedbacks with the atmosphere?

What is the sustainability of ground water and reservoirs in the face of expanding agricultural and farming activities, especially in light of projected future warming and drying over this region?


      LIAISE addresses the GEWEX Science Questions and contributes to WCRP’s Grand Challenges, notably how a warming world will affect available fresh water resources globally, specifically in the food basket regions, and how it will change human interactions with these resources and their value to society. Another key GEWEX Science Question addressed by LIAISE pertains to improving our understanding of the effects and uncertainties of water and energy exchanges in the current and changing climate and how to convey this information to society. The improvement of the representation of anthropogenic effects in models will form the foundation for water resource impact studies under future climate change. These results will be communicated to water management services within the Ebro basin. A comprehensive database, consisting of surface-based and aircraft measurements of surface and hydrological fluxes and states and properties of the ABL, will be integrated into the Mediterranean Integrated STudies at Regional And Local Scales (MISTRALS)/HyMeX database, which can accessed upon request by interested researchers. This database of observations will form the basis for a number of international modeling experiments that will cut across many areas of interest to GEWEX, ranging from theability of LSMs to capture soil moisture dry down, the representation of heterogeneity and how this interacts with the atmospheric boundary layer, the impacts of human influence on land surface fluxes, land/atmosphere interactions the terrestrial water cycle of semi-arid environments.
DOI: 10.57745/pyiprl
title: Intercropping_In_row_A12_20240408_144835_mask.png

description: :unav
DOI: 10.5281/zenodo.17472237
title: LIAISE dataset

description: This dataset corresponds to LIAISE project. This dataset has been used to validate remote sensing ET estimates obtained within ET4DROUGHT.

The overall objective of this new activity, the Land surface Interactions with the Atmosphere over the Iberian Semi-arid Environment (LIAISE) project, is to improve our understanding of the impact of anthropization on the water cycle in terms of land-atmosphere-hydrology interactions, and the limitations of models to represent all aspects of the terrestrial water cycle in a semi-arid environment on the Iberian peninsula. The main science questions can be summarized as:



What are the key natural and anthropogenic semi-arid surface processes that modulate or control infiltration and runoff and govern turbulent fluxes and their spatial heterogeneity?

How does anthropization impact boundary layer development, mesoscale circulations and potentially precipitation recycling over this region via feedbacks with the atmosphere?

What is the sustainability of ground water and reservoirs in the face of expanding agricultural and farming activities, especially in light of projected future warming and drying over this region?


      LIAISE addresses the GEWEX Science Questions and contributes to WCRP’s Grand Challenges, notably how a warming world will affect available fresh water resources globally, specifically in the food basket regions, and how it will change human interactions with these resources and their value to society. Another key GEWEX Science Question addressed by LIAISE pertains to improving our understanding of the effects and uncertainties of water and energy exchanges in the current and changing climate and how to convey this information to society. The improvement of the representation of anthropogenic effects in models will form the foundation for water resource impact studies under future climate change. These results will be communicated to water management services within the Ebro basin. A comprehensive database, consisting of surface-based and aircraft measurements of surface and hydrological fluxes and states and properties of the ABL, will be integrated into the Mediterranean Integrated STudies at Regional And Local Scales (MISTRALS)/HyMeX database, which can accessed upon request by interested researchers. This database of observations will form the basis for a number of international modeling experiments that will cut across many areas of interest to GEWEX, ranging from theability of LSMs to capture soil moisture dry down, the representation of heterogeneity and how this interacts with the atmospheric boundary layer, the impacts of human influence on land surface fluxes, land/atmosphere interactions the terrestrial water cycle of semi-arid environments.
DOI: 10.57745/8vrxtz
title: Intercropping_Mixed_A12_20240408_150909_mask.png

description: :unav
DOI: 10.57745/gu2dgn
title: Intercropping_Mixed_A12_20240422_162324_mask.png

description: :unav
DOI: 10.57745/nl4hox
title: Intercropping_Mixed_A12_20240422_161817.jpg

description: :unav
DOI: 10.57745/hkifac
title: Intercropping_In_row_A12_20240422_155943_mask.png

description: :unav
DOI: 10.57745/nw76um
title: Intercropping_Mixed_A12_20240422_161633_mask.png

description: :unav
DOI: 10.57745/6io7ct
title: Intercropping_Mixed_A12_20240422_162529.jpg

description: :unav
DOI: 10.57745/tpppji
title: Intercropping_Mixed_A12_20240321_155810_mask.png

description: :unav
DOI: 10.57745/qhcmtf
title: Intercropping_Mixed_A12_20240408_151123_mask.png

description: :unav
DOI: 10.57745/megmym
title: Intercropping_Mixed_A12_20240408_150101_mask.png

description: :unav
DOI: 10.57745/kmcrhe
title: Intercropping_In_row_A12_20240408_145549.jpg

description: :unav
DOI: 10.57745/svdlqq
title: Intercropping_Mixed_A12_20240422_161608.jpg

description: :unav
DOI: 10.57745/cy7cly
title: Intercropping_Mixed_A12_20240408_150530_mask.png

description: :unav
DOI: 10.57745/uwtgzk
title: Intercropping_In_row_A12_20240321_154229.jpg

description: :unav
DOI: 10.57745/xcnu8m
title: Intercropping_Mixed_A12_20240422_162426.jpg

description: :unav
DOI: 10.5281/zenodo.17471917
title: High-resolution vertical pCO2 profiles from two Greenlandic fjords during sea-ice breakup

description: This dataset contains vertical profiles of partial pressure of CO₂ (pCO₂) collected in two Greenlandic fjords during the period of sea-ice breakup. The data were gathered to investigate fine-scale vertical variability in surface-water pCO₂ and its influence on air-sea CO₂ exchange in stratified Arctic coastal environments.

Measurements were obtained using high-resolution profiling sensors deployed from small vessels, resolving vertical pCO₂ structure within the upper few meters of the water column. Young Sound (2017) profiles were measured using a Contros HydroC® CO₂ sensor following Henson et al. (2024, JGR: Biogeosciences). Meanwhile, Tasiilaq Bay (2025) profiles were measured using an EGM5 sensor following Sejr et al. (2011, Tellus B).

Complementary micrometeorological flux measurements were conducted to assess air-sea CO₂ exchange under spatially and temporally heterogeneous conditions, and compare with water-side measurments.

These observations reveal strong vertical and temporal variability in pCO₂ during the transition from ice-covered to open-water conditions, challenging the assumption of homogeneous surface layers and linear gradients typically used in bulk flux models. The dataset provides a valuable resource for improving CO₂ flux estimates in Arctic fjords and for evaluating gas-exchange parameterizations under stratified and rapidly changing conditions.

These data are discussed in the submitted manuscript: Henson et al. (in review). “Sea ice melt drives vertical pCO₂ variability modulating air-sea gas exchange.”
DOI: 10.5281/zenodo.17471918
title: High-resolution vertical pCO2 profiles from two Greenlandic fjords during sea-ice breakup

description: This dataset contains vertical profiles of partial pressure of CO₂ (pCO₂) collected in two Greenlandic fjords during the period of sea-ice breakup. The data were gathered to investigate fine-scale vertical variability in surface-water pCO₂ and its influence on air-sea CO₂ exchange in stratified Arctic coastal environments.

Measurements were obtained using high-resolution profiling sensors deployed from small vessels, resolving vertical pCO₂ structure within the upper few meters of the water column. Young Sound (2017) profiles were measured using a Contros HydroC® CO₂ sensor following Henson et al. (2024, JGR: Biogeosciences). Meanwhile, Tasiilaq Bay (2025) profiles were measured using an EGM5 sensor following Sejr et al. (2011, Tellus B).

Complementary micrometeorological flux measurements were conducted to assess air-sea CO₂ exchange under spatially and temporally heterogeneous conditions, and compare with water-side measurments.

These observations reveal strong vertical and temporal variability in pCO₂ during the transition from ice-covered to open-water conditions, challenging the assumption of homogeneous surface layers and linear gradients typically used in bulk flux models. The dataset provides a valuable resource for improving CO₂ flux estimates in Arctic fjords and for evaluating gas-exchange parameterizations under stratified and rapidly changing conditions.

These data are discussed in the submitted manuscript: Henson et al. (in review). “Sea ice melt drives vertical pCO₂ variability modulating air-sea gas exchange.”
DOI: 10.57745/o5ip3t
title: Intercropping_In_row_A12_20240321_154135.jpg

description: :unav
DOI: 10.57745/zlqfax
title: Intercropping_In_row_A12_20240422_161243.jpg

description: :unav
DOI: 10.57745/hnzqg9
title: Intercropping_In_row_A12_20240321_154433.jpg

description: :unav
DOI: 10.57745/lmd2w0
title: Intercropping_In_row_A12_20240408_144614.jpg

description: :unav
DOI: 10.57745/sthmfr
title: Intercropping_Mixed_A12_20240408_150934_mask.png

description: :unav
DOI: 10.57745/faevxm
title: Intercropping_In_row_A12_20240408_144614_mask.png

description: :unav
DOI: 10.57745/kyyk5m
title: Intercropping_In_row_A12_20240408_145213.jpg

description: :unav
DOI: 10.57745/yrfku1
title: Intercropping_In_row_A12_20240321_154404.jpg

description: :unav
DOI: 10.57745/lmbosg
title: Intercropping_In_row_A12_20240321_155253.jpg

description: :unav
DOI: 10.57745/kt9gvu
title: Intercropping_In_row_A12_20240422_160521_mask.png

description: :unav
DOI: 10.57745/1x0z1b
title: Intercropping_In_row_A12_20240408_145342.jpg

description: :unav
DOI: 10.57745/38ot17
title: Intercropping_In_row_A12_20240422_160853_mask.png

description: :unav
DOI: 10.57745/2csajv
title: Intercropping_Mixed_A12_20240408_150934.jpg

description: :unav
DOI: 10.57745/dmmd9w
title: Intercropping_In_row_A12_20240321_154649_mask.png

description: :unav
DOI: 10.57745/zpulut
title: Intercropping_In_row_A12_20240321_154842.jpg

description: :unav
DOI: 10.57745/enjv6a
title: Intercropping_In_row_A12_20240321_154927.jpg

description: :unav
DOI: 10.57745/slp9zw
title: Intercropping_Mixed_A12_20240422_161546.jpg

description: :unav
DOI: 10.57745/my0cwv
title: Intercropping_Mixed_A12_20240408_150324_mask.png

description: :unav
DOI: 10.57745/vlvofw
title: Intercropping_Mixed_A12_20240321_160150.jpg

description: :unav
DOI: 10.57745/fw1z7b
title: Intercropping_Mixed_A12_20240321_155810.jpg

description: :unav
DOI: 10.57745/xrftqr
title: Intercropping_In_row_A12_20240321_154433_mask.png

description: :unav
DOI: 10.57745/vuuby3
title: Intercropping_In_row_A12_20240408_145301.jpg

description: :unav
DOI: 10.57745/jyfsf8
title: Intercropping_In_row_A12_20240422_160011.jpg

description: :unav