cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23861188
title: An index to assess the health of Moso bamboo (<i>Phyllostachys edulis</i>) forest

description: The health status of the Moso bamboo forest could affect the economic value, ecosystem functions, and long-term sustainable management. However, there are still deficiencies in the scientific recognition and accurately assessment for the health status of the Moso bamboo forest. Using an index system to quantitatively assess the health of Moso bamboo (<i>Phyllostachys edulis</i>) forest can provide an intuitional recognition for the status of Moso bamboo forest. Here, the health assessment index system of the Moso bamboo forest was established by literature collection, Analytic Hierarchy Process (AHP), and expert questionnaire. The health index of the Moso bamboo forest was calculated by the comprehensive health index. The practicability and feasibility of the health assessment index system were then verified by the Moso bamboo forest in Anhui and Fujian provinces of China. The health index of the Moso bamboo forest in Anhui and Fujian provinces ranged from 0.50 to 0.83. The health index of the Moso bamboo mixed forest generally performing higher than that of the pure Moso bamboo forest. Only 2.35% of the Moso bamboo forest health index scored higher than 0.80, whereas 22.35% scored lower than 0.60. These results suggested that the health status should be improved in most of the Moso bamboo forest. The health assessment index system provides an important tool to guide Moso bamboo forest resource management and prioritize scientific research.
DOI: 10.6084/m9.figshare.23861188.v1
title: An index to assess the health of Moso bamboo (<i>Phyllostachys edulis</i>) forest

description: The health status of the Moso bamboo forest could affect the economic value, ecosystem functions, and long-term sustainable management. However, there are still deficiencies in the scientific recognition and accurately assessment for the health status of the Moso bamboo forest. Using an index system to quantitatively assess the health of Moso bamboo (<i>Phyllostachys edulis</i>) forest can provide an intuitional recognition for the status of Moso bamboo forest. Here, the health assessment index system of the Moso bamboo forest was established by literature collection, Analytic Hierarchy Process (AHP), and expert questionnaire. The health index of the Moso bamboo forest was calculated by the comprehensive health index. The practicability and feasibility of the health assessment index system were then verified by the Moso bamboo forest in Anhui and Fujian provinces of China. The health index of the Moso bamboo forest in Anhui and Fujian provinces ranged from 0.50 to 0.83. The health index of the Moso bamboo mixed forest generally performing higher than that of the pure Moso bamboo forest. Only 2.35% of the Moso bamboo forest health index scored higher than 0.80, whereas 22.35% scored lower than 0.60. These results suggested that the health status should be improved in most of the Moso bamboo forest. The health assessment index system provides an important tool to guide Moso bamboo forest resource management and prioritize scientific research.
DOI: 10.6084/m9.figshare.23683367
title: Soil erosion decreases soil microbial respiration in Japanese beech forests with understory vegetation lost by deer

description: Increases in the number of wild herbivores resulted in understory degradation because of their overgrazing in forest ecosystems. Deer overgrazing has occurred soil erosion in Japanese beech forests where dwarf bamboo used to be densely covered. Soil erosion can result in a decrease in soil carbon and nutrient contents, causing the soil microbial respiration in such forest ecosystems to be degraded. The objective of this study was to clarify the effects of soil erosion, which sporadically occurs within the forests, on soil properties and microbial activity. Soil erosion indices, such as the maximum height of exposed roots from the soil surface (MAXH), tree and soil properties, microbial basal and substrate-induced respiration, were measured under the canopy of 16 beech trees in each of three deciduous broadleaved forests on southern Kyushu Island, Japan. Soil properties such as the humus mass and the organic matter contents of soil and humus decreased with MAXH. Basal and substrate-induced respiration decreased with increases in MAXH. Soil properties associated with organic matter increased with basal and substrate-induced respiration. These results suggest that soil surface layers that were rich in organic matter ran off because of soil erosion, resulting in the degradation of soil microbial activity. This study suggests that increases in wild herbivore populations degrade soil ecosystem functioning owing to the soil erosion induced by understory disappearance.
DOI: 10.6084/m9.figshare.23683367.v1
title: Soil erosion decreases soil microbial respiration in Japanese beech forests with understory vegetation lost by deer

description: Increases in the number of wild herbivores resulted in understory degradation because of their overgrazing in forest ecosystems. Deer overgrazing has occurred soil erosion in Japanese beech forests where dwarf bamboo used to be densely covered. Soil erosion can result in a decrease in soil carbon and nutrient contents, causing the soil microbial respiration in such forest ecosystems to be degraded. The objective of this study was to clarify the effects of soil erosion, which sporadically occurs within the forests, on soil properties and microbial activity. Soil erosion indices, such as the maximum height of exposed roots from the soil surface (MAXH), tree and soil properties, microbial basal and substrate-induced respiration, were measured under the canopy of 16 beech trees in each of three deciduous broadleaved forests on southern Kyushu Island, Japan. Soil properties such as the humus mass and the organic matter contents of soil and humus decreased with MAXH. Basal and substrate-induced respiration decreased with increases in MAXH. Soil properties associated with organic matter increased with basal and substrate-induced respiration. These results suggest that soil surface layers that were rich in organic matter ran off because of soil erosion, resulting in the degradation of soil microbial activity. This study suggests that increases in wild herbivore populations degrade soil ecosystem functioning owing to the soil erosion induced by understory disappearance.
DOI: 10.5519/qd.bj43ce7x
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (12 records)
DOI: 10.5519/qd.v8935sg6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (723 records)
DOI: 10.5281/zenodo.10553765
title: Nigeria Uber H3 level 6 database

description: Database for characterization of sub national units for Nigeria using Uber H3 level 6 hexagons. Data includes crop, livestock, as well as climate data. H3 hexagons have unique identifiers that can be used to sum or average underlying data covered by area. As compared to square pixels, hexagons are better to fully cover a countries area. The lower the level used the better the fit.

Data sources used:

Livestock: FAO GLW (Cattle, Goats, Sheep, Chicken, Buffaloes) year 2015

Crops: IFPRI SPAM 2010 for Countries in SS Africa SPAM 2017

Climate: Worldclim 2.1

Elevation: SRTM CSI CGIAR

 


kebuffalo2
buffalo


kecattle20
Cattle


keducks201
Ducks


kechicken2
Chicken


kesheep201
Sheep


kegoats201
Goats


keshoats20
Shoats


keacofarea
coffee area ha


kebanaarea
banana area ha


kebarlarea
barley area ha


kebeanarea
bean area ha


kecassarea
cassava area


kecnutarea
colanut area


kecottarea
cotton area


kecowparea
cowpea area ha


kegrouarea
groundnut area ha


kelentarea
lentil area ha


kemaizarea
maize area ha


keocerarea
other cereal area ha


keofibarea
other fiber crops area ha


keooilarea
other oilcrops area ha


keopularea
other pulses area ha


keortsarea
other rtbs area ha


keplntarea
plantain area ha


kepmilarea
pearl milletarea ha


kepotaarea
potato area ha


kerapearea
Rape area ha


kerestarea
Rest of cops  area ha


kericearea
rice area ha


kesesaarea
sesame area ha


kesmilarea
millet area ha


kesorgarea
sorghum area ha


kesoybarea
soybean area ha


kesugcarea
sugarcane area ha


kesunfarea
sunflower area ha


keswpoarea
sweet potato area ha


keteasarea
tea  area ha


ketemfarea
temperate fruit area ha


ketobaarea
tobacco area ha


ketrofarea
tropical fruit area ha


kevegearea
vegetables area ha


kewheaarea
wheat area ha


keyamsarea
yams area ha


keprecann_
annual rainfall


ketmax_ann
longterm annual tmax (1970-2000)


ketmin_ann
longterm annual tmin (1970-2000)


keworld250
Elevation m a.b.s.l.




Caveats:

Hexagon size can be smaller than actual pixel size like SPAM, values can be lower or higher depending on location and pixel below. Use as indicator of importance not absolute value.
DOI: 10.5281/zenodo.10553766
title: Nigeria Uber H3 level 6 database

description: Database for characterization of sub national units for Nigeria using Uber H3 level 6 hexagons. Data includes crop, livestock, as well as climate data. H3 hexagons have unique identifiers that can be used to sum or average underlying data covered by area. As compared to square pixels, hexagons are better to fully cover a countries area. The lower the level used the better the fit.

Data sources used:

Livestock: FAO GLW (Cattle, Goats, Sheep, Chicken, Buffaloes) year 2015

Crops: IFPRI SPAM 2010 for Countries in SS Africa SPAM 2017

Climate: Worldclim 2.1

Elevation: SRTM CSI CGIAR

 


kebuffalo2
buffalo


kecattle20
Cattle


keducks201
Ducks


kechicken2
Chicken


kesheep201
Sheep


kegoats201
Goats


keshoats20
Shoats


keacofarea
coffee area ha


kebanaarea
banana area ha


kebarlarea
barley area ha


kebeanarea
bean area ha


kecassarea
cassava area


kecnutarea
colanut area


kecottarea
cotton area


kecowparea
cowpea area ha


kegrouarea
groundnut area ha


kelentarea
lentil area ha


kemaizarea
maize area ha


keocerarea
other cereal area ha


keofibarea
other fiber crops area ha


keooilarea
other oilcrops area ha


keopularea
other pulses area ha


keortsarea
other rtbs area ha


keplntarea
plantain area ha


kepmilarea
pearl milletarea ha


kepotaarea
potato area ha


kerapearea
Rape area ha


kerestarea
Rest of cops  area ha


kericearea
rice area ha


kesesaarea
sesame area ha


kesmilarea
millet area ha


kesorgarea
sorghum area ha


kesoybarea
soybean area ha


kesugcarea
sugarcane area ha


kesunfarea
sunflower area ha


keswpoarea
sweet potato area ha


keteasarea
tea  area ha


ketemfarea
temperate fruit area ha


ketobaarea
tobacco area ha


ketrofarea
tropical fruit area ha


kevegearea
vegetables area ha


kewheaarea
wheat area ha


keyamsarea
yams area ha


keprecann_
annual rainfall


ketmax_ann
longterm annual tmax (1970-2000)


ketmin_ann
longterm annual tmin (1970-2000)


keworld250
Elevation m a.b.s.l.




Caveats:

Hexagon size can be smaller than actual pixel size like SPAM, values can be lower or higher depending on location and pixel below. Use as indicator of importance not absolute value.
DOI: 10.6084/m9.figshare.25045076
title: Coding for all 4 groups - anonymised

description: A Focus Group Study Evaluating Ophthalmology Trainee Perceptions of Artificial Intelligence to Guide the Development of an Educational Curriculum. - data
DOI: 10.6084/m9.figshare.25045076.v1
title: Coding for all 4 groups - anonymised

description: A Focus Group Study Evaluating Ophthalmology Trainee Perceptions of Artificial Intelligence to Guide the Development of an Educational Curriculum. - data
DOI: 10.5281/zenodo.10553777
title: Tanzania Uber H3 level 6 database

description: Database for characterization of sub national units for Tanzania using Uber H3 level 6 hexagons. Data includes crop, livestock, as well as climate data. H3 hexagons have unique identifiers that can be used to sum or average underlying data covered by area. As compared to square pixels, hexagons are better to fully cover a countries area. The lower the level used the better the fit.

Data sources used:

Livestock: FAO GLW (Cattle, Goats, Sheep, Chicken, Buffaloes) year 2015

Crops: IFPRI SPAM 2010 for Countries in SS Africa SPAM 2017

Climate: Worldclim 2.1

Elevation: SRTM CSI CGIAR

Field    Dataindex    H3 indextzbuffalo2    buffalotzcattle20    Cattletzducks201    Duckstzchicken2    Chickentzsheep201    Sheeptzgoats201    Goatstzshoats20    Shoatstzacofarea    coffee area hatzbanaarea    banana area hatzbarlarea    barley area hatzbeanarea    bean area hatzcassarea    cassava areatzcnutarea    colanut areatzcottarea    cotton areatzcowparea    cowpea area hatzgrouarea    groundnut area hatzlentarea    lentil area hatzmaizarea    maize area hatzocerarea    other cereal area hatzofibarea    other fiber crops area hatzooilarea    other oilcrops area hatzopularea    other pulses area hatzortsarea    other rtbs area hatzplntarea    plantain area hatzpmilarea    pearl milletarea hatzpotaarea    potato area hatzrapearea    Rape area hatzrestarea    Rest of cops  area hatzricearea    rice area hatzsesaarea    sesame area hatzsmilarea    millet area hatzsorgarea    sorghum area hatzsoybarea    soybean area hatzsugcarea    sugarcane area hatzsunfarea    sunflower area hatzswpoarea    sweet potato area hatzteasarea    tea  area hatztemfarea    temperate fruit area hatztobaarea    tobacco area hatztrofarea    tropical fruit area hatzvegearea    vegetables area hatzwheaarea    wheat area hatzyamsarea    yams area hatzprecann_    annual rainfalltztmax_ann    longterm annual tmax (1970-2000)tztmin_ann    longterm annual tmin (1970-2000)tzworld250    Elevation m a.b.s.l.

Caveats:

Hexagon size can be smaller than actual pixel size like SPAM, values can be lower or higher depending on location and pixel below. Use as indicator of importance not absolute value.
DOI: 10.5281/zenodo.10553778
title: Tanzania Uber H3 level 6 database

description: Database for characterization of sub national units for Tanzania using Uber H3 level 6 hexagons. Data includes crop, livestock, as well as climate data. H3 hexagons have unique identifiers that can be used to sum or average underlying data covered by area. As compared to square pixels, hexagons are better to fully cover a countries area. The lower the level used the better the fit.

Data sources used:

Livestock: FAO GLW (Cattle, Goats, Sheep, Chicken, Buffaloes) year 2015

Crops: IFPRI SPAM 2010 for Countries in SS Africa SPAM 2017

Climate: Worldclim 2.1

Elevation: SRTM CSI CGIAR

Field    Dataindex    H3 indextzbuffalo2    buffalotzcattle20    Cattletzducks201    Duckstzchicken2    Chickentzsheep201    Sheeptzgoats201    Goatstzshoats20    Shoatstzacofarea    coffee area hatzbanaarea    banana area hatzbarlarea    barley area hatzbeanarea    bean area hatzcassarea    cassava areatzcnutarea    colanut areatzcottarea    cotton areatzcowparea    cowpea area hatzgrouarea    groundnut area hatzlentarea    lentil area hatzmaizarea    maize area hatzocerarea    other cereal area hatzofibarea    other fiber crops area hatzooilarea    other oilcrops area hatzopularea    other pulses area hatzortsarea    other rtbs area hatzplntarea    plantain area hatzpmilarea    pearl milletarea hatzpotaarea    potato area hatzrapearea    Rape area hatzrestarea    Rest of cops  area hatzricearea    rice area hatzsesaarea    sesame area hatzsmilarea    millet area hatzsorgarea    sorghum area hatzsoybarea    soybean area hatzsugcarea    sugarcane area hatzsunfarea    sunflower area hatzswpoarea    sweet potato area hatzteasarea    tea  area hatztemfarea    temperate fruit area hatztobaarea    tobacco area hatztrofarea    tropical fruit area hatzvegearea    vegetables area hatzwheaarea    wheat area hatzyamsarea    yams area hatzprecann_    annual rainfalltztmax_ann    longterm annual tmax (1970-2000)tztmin_ann    longterm annual tmin (1970-2000)tzworld250    Elevation m a.b.s.l.

Caveats:

Hexagon size can be smaller than actual pixel size like SPAM, values can be lower or higher depending on location and pixel below. Use as indicator of importance not absolute value.
DOI: 10.5281/zenodo.10553792
title: Uganda Uber H3 level 6 database

description: Database for characterization of sub national units for Uganda using Uber H3 level 6 hexagons. Data includes crop, livestock, as well as climate data. H3 hexagons have unique identifiers that can be used to sum or average underlying data covered by area. As compared to square pixels, hexagons are better to fully cover a countries area. The lower the level used the better the fit.

Data sources used:

Livestock: FAO GLW (Cattle, Goats, Sheep, Chicken, Buffaloes) year 2015

Crops: IFPRI SPAM 2010 for Countries in SS Africa SPAM 2017

Climate: Worldclim 2.1

Elevation: SRTM CSI CGIAR

 

Field    Dataindex    H3 indexugbuffalo2    buffalougcattle20    Cattleugducks201    Ducksugchicken2    Chickenugsheep201    Sheepuggoats201    Goatsugshoats20    Shoatsugacofarea    coffee area haugbanaarea    banana area haugbarlarea    barley area haugbeanarea    bean area haugcassarea    cassava areaugcnutarea    colanut areaugcottarea    cotton areaugcowparea    cowpea area hauggrouarea    groundnut area hauglentarea    lentil area haugmaizarea    maize area haugocerarea    other cereal area haugofibarea    other fiber crops area haugooilarea    other oilcrops area haugopularea    other pulses area haugortsarea    other rtbs area haugplntarea    plantain area haugpmilarea    pearl milletarea haugpotaarea    potato area haugrapearea    Rape area haugrestarea    Rest of cops  area haugricearea    rice area haugsesaarea    sesame area haugsmilarea    millet area haugsorgarea    sorghum area haugsoybarea    soybean area haugsugcarea    sugarcane area haugsunfarea    sunflower area haugswpoarea    sweet potato area haugteasarea    tea  area haugtemfarea    temperate fruit area haugtobaarea    tobacco area haugtrofarea    tropical fruit area haugvegearea    vegetables area haugwheaarea    wheat area haugyamsarea    yams area haugprecann_    annual rainfallugtmax_ann    longterm annual tmax (1970-2000)ugtmin_ann    longterm annual tmin (1970-2000)ugworld250    Elevation m a.b.s.l.

 

Caveats:

Hexagon size can be smaller than actual pixel size like SPAM, values can be lower or higher depending on location and pixel below. Use as indicator of importance not absolute value.
DOI: 10.5281/zenodo.10553793
title: Uganda Uber H3 level 6 database

description: Database for characterization of sub national units for Uganda using Uber H3 level 6 hexagons. Data includes crop, livestock, as well as climate data. H3 hexagons have unique identifiers that can be used to sum or average underlying data covered by area. As compared to square pixels, hexagons are better to fully cover a countries area. The lower the level used the better the fit.

Data sources used:

Livestock: FAO GLW (Cattle, Goats, Sheep, Chicken, Buffaloes) year 2015

Crops: IFPRI SPAM 2010 for Countries in SS Africa SPAM 2017

Climate: Worldclim 2.1

Elevation: SRTM CSI CGIAR

 

Field    Dataindex    H3 indexugbuffalo2    buffalougcattle20    Cattleugducks201    Ducksugchicken2    Chickenugsheep201    Sheepuggoats201    Goatsugshoats20    Shoatsugacofarea    coffee area haugbanaarea    banana area haugbarlarea    barley area haugbeanarea    bean area haugcassarea    cassava areaugcnutarea    colanut areaugcottarea    cotton areaugcowparea    cowpea area hauggrouarea    groundnut area hauglentarea    lentil area haugmaizarea    maize area haugocerarea    other cereal area haugofibarea    other fiber crops area haugooilarea    other oilcrops area haugopularea    other pulses area haugortsarea    other rtbs area haugplntarea    plantain area haugpmilarea    pearl milletarea haugpotaarea    potato area haugrapearea    Rape area haugrestarea    Rest of cops  area haugricearea    rice area haugsesaarea    sesame area haugsmilarea    millet area haugsorgarea    sorghum area haugsoybarea    soybean area haugsugcarea    sugarcane area haugsunfarea    sunflower area haugswpoarea    sweet potato area haugteasarea    tea  area haugtemfarea    temperate fruit area haugtobaarea    tobacco area haugtrofarea    tropical fruit area haugvegearea    vegetables area haugwheaarea    wheat area haugyamsarea    yams area haugprecann_    annual rainfallugtmax_ann    longterm annual tmax (1970-2000)ugtmin_ann    longterm annual tmin (1970-2000)ugworld250    Elevation m a.b.s.l.

 

Caveats:

Hexagon size can be smaller than actual pixel size like SPAM, values can be lower or higher depending on location and pixel below. Use as indicator of importance not absolute value.
DOI: 10.6084/m9.figshare.25037171
title: Data from: Sexual dimorphism, deactivation of plant defense, and attraction of conspecifics in the four-eyed red milkweed beetle (<i>Tetraopes tetrophthalmus)</i>

description: Herbivorous insects frequently exhibit sexual dimorphism in body size and a variety of other traits. Such differences often lead to distinct behaviors, which may present themselves in insect responses to conspecifics, plant defenses, and feeding. Based on a previous study of a congeneric species, we hypothesized that sexual dimorphism may yield differences in how the host-specific red milkweed beetle <i>Tetraopes tetrophthalmus</i> (Coleoptera: Cerambycidae) deactivates milkweed defenses, a behavior in which beetles cut latex-delivering veins prior to feeding. We also predicted that beetles would display differences in their subsequent feeding patterns and attraction of conspecifics. Although beetles were size dimorphic (females were larger than males), we did not find consistent differences in the rates of vein cutting or initiation of feeding between males and females. Females did, however, cut more milkweed veins per leaf, and attracted more conspecifics than males. Sex differences in size and other traits were thus associated with differential attraction, but not strongly associated with the overall deactivation of plant defense.
DOI: 10.6084/m9.figshare.25037171.v1
title: Data from: Sexual dimorphism, deactivation of plant defense, and attraction of conspecifics in the four-eyed red milkweed beetle (<i>Tetraopes tetrophthalmus)</i>

description: Herbivorous insects frequently exhibit sexual dimorphism in body size and a variety of other traits. Such differences often lead to distinct behaviors, which may present themselves in insect responses to conspecifics, plant defenses, and feeding. Based on a previous study of a congeneric species, we hypothesized that sexual dimorphism may yield differences in how the host-specific red milkweed beetle <i>Tetraopes tetrophthalmus</i> (Coleoptera: Cerambycidae) deactivates milkweed defenses, a behavior in which beetles cut latex-delivering veins prior to feeding. We also predicted that beetles would display differences in their subsequent feeding patterns and attraction of conspecifics. Although beetles were size dimorphic (females were larger than males), we did not find consistent differences in the rates of vein cutting or initiation of feeding between males and females. Females did, however, cut more milkweed veins per leaf, and attracted more conspecifics than males. Sex differences in size and other traits were thus associated with differential attraction, but not strongly associated with the overall deactivation of plant defense.